Datasets:
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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
tile_id: string
reason: string
invalid_pct: double
reflectance_offset_applied: bool
processed_at: string
cloud_cover_pct: double
center_lon: double
square_id: string
continent: string
country_iso: string
center_lat: double
acquisition_date: timestamp[s]
bbox: list<item: double>
child 0, item: double
indices_regions: struct<ndvi: struct<NW: struct<mean: double, std: double, p10: double, p50: double, p90: double, fra (... 13962 chars omitted)
child 0, ndvi: struct<NW: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: doub (... 1332 chars omitted)
child 0, NW: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double, frac_ab (... 53 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.073: double, 0.2: double, 0.5: double>
child 0, 0.073: double
child 1, 0.2: double
child 2, 0.5: double
child 1, N: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double, frac_ab (... 53 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.073: double
...
0: double, frac_valid: double, frac_ab (... 25 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.1: double>
child 0, 0.1: double
child 8, savi: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double, frac_ab (... 25 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.3: double>
child 0, 0.3: double
child 9, evi: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double, frac_ab (... 40 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.135: double, 0.4: double>
child 0, 0.135: double
child 1, 0.4: double
child 10, msavi: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double>
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
pipeline_version: string
reflectance_scale: double
mgrs_tile: string
grid_px: int64
to
{'tile_id': Value('string'), 'square_id': Value('string'), 'mgrs_tile': Value('string'), 'biome': Value('string'), 'country_iso': Value('string'), 'continent': Value('string'), 'center_lat': Value('float64'), 'center_lon': Value('float64'), 'bbox': List(Value('float64')), 'acquisition_date': Value('timestamp[s]'), 'cloud_cover_pct': Value('float64'), 'invalid_pct': Value('float64'), 'grid_px': Value('int64'), 'pipeline_version': Value('string'), 'reflectance_scale': Value('float64'), 'reflectance_offset_applied': Value('bool'), 'scl_masked': Value('bool'), 'processed_at': Value('string'), 'indices_whole_square': {'ndvi': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64'), 'frac_above': {'0.073': Value('float64'), '0.2': Value('float64'), '0.5': Value('float64')}}, 'ndwi': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64'), 'frac_above': {'0.102': Value('float64'), '0.2': Value('float64')}}, 'ndre': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64'), 'frac_above': {'0.1': Value('float64'), '0.3': Value('float64')}}, 'ndsi': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid':
...
'msavi': {'NW': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'N': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'NE': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'W': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'C': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'E': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'SW': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'S': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'SE': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}}}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
tile_id: string
reason: string
invalid_pct: double
reflectance_offset_applied: bool
processed_at: string
cloud_cover_pct: double
center_lon: double
square_id: string
continent: string
country_iso: string
center_lat: double
acquisition_date: timestamp[s]
bbox: list<item: double>
child 0, item: double
indices_regions: struct<ndvi: struct<NW: struct<mean: double, std: double, p10: double, p50: double, p90: double, fra (... 13962 chars omitted)
child 0, ndvi: struct<NW: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: doub (... 1332 chars omitted)
child 0, NW: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double, frac_ab (... 53 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.073: double, 0.2: double, 0.5: double>
child 0, 0.073: double
child 1, 0.2: double
child 2, 0.5: double
child 1, N: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double, frac_ab (... 53 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.073: double
...
0: double, frac_valid: double, frac_ab (... 25 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.1: double>
child 0, 0.1: double
child 8, savi: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double, frac_ab (... 25 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.3: double>
child 0, 0.3: double
child 9, evi: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double, frac_ab (... 40 chars omitted)
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
child 6, frac_above: struct<0.135: double, 0.4: double>
child 0, 0.135: double
child 1, 0.4: double
child 10, msavi: struct<mean: double, std: double, p10: double, p50: double, p90: double, frac_valid: double>
child 0, mean: double
child 1, std: double
child 2, p10: double
child 3, p50: double
child 4, p90: double
child 5, frac_valid: double
pipeline_version: string
reflectance_scale: double
mgrs_tile: string
grid_px: int64
to
{'tile_id': Value('string'), 'square_id': Value('string'), 'mgrs_tile': Value('string'), 'biome': Value('string'), 'country_iso': Value('string'), 'continent': Value('string'), 'center_lat': Value('float64'), 'center_lon': Value('float64'), 'bbox': List(Value('float64')), 'acquisition_date': Value('timestamp[s]'), 'cloud_cover_pct': Value('float64'), 'invalid_pct': Value('float64'), 'grid_px': Value('int64'), 'pipeline_version': Value('string'), 'reflectance_scale': Value('float64'), 'reflectance_offset_applied': Value('bool'), 'scl_masked': Value('bool'), 'processed_at': Value('string'), 'indices_whole_square': {'ndvi': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64'), 'frac_above': {'0.073': Value('float64'), '0.2': Value('float64'), '0.5': Value('float64')}}, 'ndwi': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64'), 'frac_above': {'0.102': Value('float64'), '0.2': Value('float64')}}, 'ndre': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64'), 'frac_above': {'0.1': Value('float64'), '0.3': Value('float64')}}, 'ndsi': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid':
...
'msavi': {'NW': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'N': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'NE': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'W': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'C': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'E': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'SW': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'S': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}, 'SE': {'mean': Value('float64'), 'std': Value('float64'), 'p10': Value('float64'), 'p50': Value('float64'), 'p90': Value('float64'), 'frac_valid': Value('float64')}}}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SpectralCheck-EO
A spectrally grounded benchmark for vision-language models in Earth observation.
1,724 Sentinel-2 L2A tiles (~5 km squares) with 11 spectral indices computed per tile and per 3x3 region, plus RGB previews.
Status: work in progress. This release contains imagery statistics only. Question-answer pairs and evaluation splits are not yet published — do not use for evaluation yet.
Fully reproducible: every tile is identified by its STAC item ID, so the whole dataset can be regenerated from public Sentinel-2 data using the included manifest and pipeline.
RIOTU Lab, Prince Sultan University.
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