Dataset Viewer
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
output_dir: string
truncate_date: bool
truncate_date_from: timestamp[s]
truncate_date_to: timestamp[s]
truncate_date_vname: string
unify_coords: bool
unify_coords_fname: string
uni_coords: struct<lat: string, lon: string>
child 0, lat: string
child 1, lon: string
convert_m_to_mm_precipitation_vname: string
cal_monthly_tp_fname: string
adjust_longitude_vname: string
cal_monthly_tp: bool
convert_m_to_mm_precipitation: bool
resample_grid_fname: string
convert_kelvin_to_celsius: bool
resample_grid: bool
resample_degree: double
adjust_longitude_fname: string
cal_monthly_tp_vname: string
convert_m_to_mm_precipitation_fname: string
convert_kelvin_to_celsius_fname: string
adjust_longitude: bool
cal_monthly_tp_tcoord: string
resample_grid_vname: list<item: string>
child 0, item: string
convert_kelvin_to_celsius_vname: string
to
{'output_dir': Value('string'), 'adjust_longitude': Value('bool'), 'adjust_longitude_vname': Value('string'), 'adjust_longitude_fname': Value('string'), 'convert_kelvin_to_celsius': Value('bool'), 'convert_kelvin_to_celsius_vname': Value('string'), 'convert_kelvin_to_celsius_fname': Value('string'), 'convert_m_to_mm_precipitation': Value('bool'), 'convert_m_to_mm_precipitation_vname': Value('string'), 'convert_m_to_mm_precipitation_fname': Value('string'), 'resample_grid': Value('bool'), 'resample_degree': Value('float64'), 'resample_grid_vname': List(Value('string')), 'resample_grid_fname': Value('string'), 'unify_coords': Value('bool'), 'unify_coords_fname': Value('string'), 'uni_coords': {'valid_time': Value('string')}, 'cal_monthly_tp': Value('bool'), 'cal_monthly_tp_vname': Value('string'), 'cal_monthly_tp_tcoord': Value('string'), 'cal_monthly_tp_fname': Value('string')}
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
output_dir: string
truncate_date: bool
truncate_date_from: timestamp[s]
truncate_date_to: timestamp[s]
truncate_date_vname: string
unify_coords: bool
unify_coords_fname: string
uni_coords: struct<lat: string, lon: string>
child 0, lat: string
child 1, lon: string
convert_m_to_mm_precipitation_vname: string
cal_monthly_tp_fname: string
adjust_longitude_vname: string
cal_monthly_tp: bool
convert_m_to_mm_precipitation: bool
resample_grid_fname: string
convert_kelvin_to_celsius: bool
resample_grid: bool
resample_degree: double
adjust_longitude_fname: string
cal_monthly_tp_vname: string
convert_m_to_mm_precipitation_fname: string
convert_kelvin_to_celsius_fname: string
adjust_longitude: bool
cal_monthly_tp_tcoord: string
resample_grid_vname: list<item: string>
child 0, item: string
convert_kelvin_to_celsius_vname: string
to
{'output_dir': Value('string'), 'adjust_longitude': Value('bool'), 'adjust_longitude_vname': Value('string'), 'adjust_longitude_fname': Value('string'), 'convert_kelvin_to_celsius': Value('bool'), 'convert_kelvin_to_celsius_vname': Value('string'), 'convert_kelvin_to_celsius_fname': Value('string'), 'convert_m_to_mm_precipitation': Value('bool'), 'convert_m_to_mm_precipitation_vname': Value('string'), 'convert_m_to_mm_precipitation_fname': Value('string'), 'resample_grid': Value('bool'), 'resample_degree': Value('float64'), 'resample_grid_vname': List(Value('string')), 'resample_grid_fname': Value('string'), 'unify_coords': Value('bool'), 'unify_coords_fname': Value('string'), 'uni_coords': {'valid_time': Value('string')}, 'cal_monthly_tp': Value('bool'), 'cal_monthly_tp_vname': Value('string'), 'cal_monthly_tp_tcoord': Value('string'), 'cal_monthly_tp_fname': Value('string')}
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.
This is the modified era5-land and other data for integration testing of the heiplanet-platform infrastructure.
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