The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
~~~~~~~~~~~~~~~~~~~~~~~~~^
StreamingDownloadManager(base_path=builder.base_path, download_config=download_config)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 80, in _split_generators
raise ValueError(
...<2 lines>...
)
ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 68, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
~~~~~~~~~~~~~~~~~~~~~~~^
path=dataset,
^^^^^^^^^^^^^
config_name=config,
^^^^^^^^^^^^^^^^^^^
token=hf_token,
^^^^^^^^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
path,
...<6 lines>...
**config_kwargs,
)
File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
FTW-Q
The Fields of The World (FTW) benchmark rebuilt on one year of quarterly Sentinel-2 cloudless mosaics: the same chips, splits and field polygons as FTW, with 16-band imagery (four quarters × four bands) in place of FTW's two Sentinel-2 scenes. 70,817 chips in 25 countries.
Files
One {country}.tar.gz per country (25 archives, 23 GB in total), unpacking to:
{country}/{aoi_id}.tif imagery
{country}/{aoi_id}_label.tif labels
{country}/chips.parquet aoi_id, split (train / val / test / none), year
index.parquet (GeoParquet, EPSG:4326) has one row per chip across all countries: country,
aoi_id, split, year, archive and the image and label paths inside it, the chip's
grid (epsg, GDAL transform, width, height), the mosaic items it was read from
(q1_item to q4_item, e.g. Sentinel-2_mosaic_2021_Q1_33UUP_0_0) and their source_tile,
label_license, bbox, and the chip footprint as geometry.
Imagery
- Source: Copernicus Sentinel-2 Global Mosaics
(quarterly first-quartile cloudless composites), read from the public mirror at
s3://tge-labs/sentinel-2-quarterly-cloudless-mosaics/(endpointdata.source.coop). - Bands: 16, ordered
[B04, B03, B02, B08]for each ofQ1, Q2, Q3, Q4(band4 * q + b). - Values: int16 surface reflectance × 10000; −32768 where a quarter has no valid observation.
- Grid: 10 m, in the UTM projection of the mosaic tile, cropped to the FTW chip footprint.
- Year: one per country (below), taken as the year of FTW's labels, or the nearest year with mosaics.
Labels
uint8 at 2.5 m (4× the imagery grid, same extent), rasterized from the FTW field polygons: 0 background, 1 field, 2 field boundary (polygon outlines buffered by 7 m).
How it was built
- For each country and year, search the CDSE STAC API
(
https://stac.dataspace.copernicus.eu/v1/search, collectionsentinel-2-global-mosaics) over the country's bounding box, per quarter. Assign each FTW chip, per quarter, the first returned mosaic tile whose bounding box contains the chip's centre. - Read the chip's footprint from each of the 16 band COGs (Q1–Q4 × B04, B03, B02, B08) on the tile's native grid and stack them.
- Rasterize the FTW polygons intersecting the chip onto the 2.5 m grid.
| Country | Year | License (FTW source labels) |
|---|---|---|
| Austria | 2021 | CC-BY-4.0 |
| Belgium | 2021 | No restrictions on public access |
| Brazil | 2020 | CC-BY-4.0 |
| Cambodia | 2021 | CC-BY-4.0 |
| Corsica | 2021 | CC-BY-2.0 |
| Croatia | 2023 | Open Data |
| Denmark | 2021 | CC0-1.0 |
| Estonia | 2021 | CC-3.0 |
| Finland | 2021 | CC-BY-4.0 |
| France | 2020 | Open Licence |
| Germany | 2019 | DL-DE/BY-2-0 |
| India | 2017 | CC-BY-4.0 |
| Kenya | 2022 | GPL-2.0-or-later |
| Latvia | 2021 | CC-BY-NC-4.0 |
| Lithuania | 2021 | Non-commercial use only |
| Luxembourg | 2022 | CC0-1.0 |
| Netherlands | 2022 | CC0-1.0 |
| Portugal | 2021 | CC-BY-NC-4.0 |
| Rwanda | 2021 | CC-BY-4.0 |
| Slovakia | 2021 | CC0-1.0 |
| Slovenia | 2021 | CC-BY-4.0 |
| South Africa | 2018 | CC-BY-NC-SA-4.0 |
| Spain | 2020 | CC-BY-4.0 |
| Sweden | 2021 | No restrictions on public access |
| Vietnam | 2021 | CC-BY-4.0 |
License
Each country's labels keep the license of their FTW source (table above). The imagery is Copernicus Sentinel data, modified, under the Legal Notice on the Use of Copernicus Sentinel Data and Service Information.
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