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
model: string
parameter: string
run: string
date: string
steps: struct<0: struct<type: string, features: list<item: struct<type: string, geometry: struct<type: stri (... 19333 chars omitted)
child 0, 0: struct<type: string, features: list<item: struct<type: string, geometry: struct<type: string, coordi (... 122 chars omitted)
child 0, type: string
child 1, features: list<item: struct<type: string, geometry: struct<type: string, coordinates: list<item: null>>, prope (... 90 chars omitted)
child 0, item: struct<type: string, geometry: struct<type: string, coordinates: list<item: null>>, properties: stru (... 78 chars omitted)
child 0, type: string
child 1, geometry: struct<type: string, coordinates: list<item: null>>
child 0, type: string
child 1, coordinates: list<item: null>
child 0, item: null
child 2, properties: struct<name: string, unit: string, color: string, width: double, opacity: double>
child 0, name: string
child 1, unit: string
child 2, color: string
child 3, width: double
child 4, opacity: double
child 1, 3: struct<type: string, features: list<item: struct<type: string, geometry: struct<type: string, coordi (... 122 chars omitted)
child 0, type: string
child 1, features: list<item: struct<type: string, geometry: struct<type: string, coordin
...
, item: struct<type: string, geometry: struct<type: string, coordinates: list<item: null>>, properties: stru (... 78 chars omitted)
child 0, type: string
child 1, geometry: struct<type: string, coordinates: list<item: null>>
child 0, type: string
child 1, coordinates: list<item: null>
child 0, item: null
child 2, properties: struct<name: string, unit: string, color: string, width: double, opacity: double>
child 0, name: string
child 1, unit: string
child 2, color: string
child 3, width: double
child 4, opacity: double
binary: struct<format: string, scale: int64, file: string>
child 0, format: string
child 1, scale: int64
child 2, file: string
chunks: list<item: struct<file: string, forecast_steps: list<item: int64>, frame_count: int64>>
child 0, item: struct<file: string, forecast_steps: list<item: int64>, frame_count: int64>
child 0, file: string
child 1, forecast_steps: list<item: int64>
child 0, item: int64
child 2, frame_count: int64
scaling: struct<mode: string, min_val: double, max_val: double>
child 0, mode: string
child 1, min_val: double
child 2, max_val: double
type: string
unit: string
frame_height: int64
init_time: timestamp[s]
total_frames: int64
temp_max_k: double
frame_width: int64
generated_at: string
temp_min_k: double
name: string
to
{'model': Value('string'), 'parameter': Value('string'), 'name': Value('string'), 'unit': Value('string'), 'scaling': {'mode': Value('string'), 'min_val': Value('float64'), 'max_val': Value('float64')}, 'run': Value('string'), 'date': Value('string'), 'init_time': Value('timestamp[s]'), 'type': Value('string'), 'total_frames': Value('int64'), 'frame_width': Value('int64'), 'frame_height': Value('int64'), 'temp_min_k': Value('float64'), 'temp_max_k': Value('float64'), 'chunks': List({'file': Value('string'), 'forecast_steps': List(Value('int64')), 'frame_count': Value('int64')}), 'generated_at': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
model: string
parameter: string
run: string
date: string
steps: struct<0: struct<type: string, features: list<item: struct<type: string, geometry: struct<type: stri (... 19333 chars omitted)
child 0, 0: struct<type: string, features: list<item: struct<type: string, geometry: struct<type: string, coordi (... 122 chars omitted)
child 0, type: string
child 1, features: list<item: struct<type: string, geometry: struct<type: string, coordinates: list<item: null>>, prope (... 90 chars omitted)
child 0, item: struct<type: string, geometry: struct<type: string, coordinates: list<item: null>>, properties: stru (... 78 chars omitted)
child 0, type: string
child 1, geometry: struct<type: string, coordinates: list<item: null>>
child 0, type: string
child 1, coordinates: list<item: null>
child 0, item: null
child 2, properties: struct<name: string, unit: string, color: string, width: double, opacity: double>
child 0, name: string
child 1, unit: string
child 2, color: string
child 3, width: double
child 4, opacity: double
child 1, 3: struct<type: string, features: list<item: struct<type: string, geometry: struct<type: string, coordi (... 122 chars omitted)
child 0, type: string
child 1, features: list<item: struct<type: string, geometry: struct<type: string, coordin
...
, item: struct<type: string, geometry: struct<type: string, coordinates: list<item: null>>, properties: stru (... 78 chars omitted)
child 0, type: string
child 1, geometry: struct<type: string, coordinates: list<item: null>>
child 0, type: string
child 1, coordinates: list<item: null>
child 0, item: null
child 2, properties: struct<name: string, unit: string, color: string, width: double, opacity: double>
child 0, name: string
child 1, unit: string
child 2, color: string
child 3, width: double
child 4, opacity: double
binary: struct<format: string, scale: int64, file: string>
child 0, format: string
child 1, scale: int64
child 2, file: string
chunks: list<item: struct<file: string, forecast_steps: list<item: int64>, frame_count: int64>>
child 0, item: struct<file: string, forecast_steps: list<item: int64>, frame_count: int64>
child 0, file: string
child 1, forecast_steps: list<item: int64>
child 0, item: int64
child 2, frame_count: int64
scaling: struct<mode: string, min_val: double, max_val: double>
child 0, mode: string
child 1, min_val: double
child 2, max_val: double
type: string
unit: string
frame_height: int64
init_time: timestamp[s]
total_frames: int64
temp_max_k: double
frame_width: int64
generated_at: string
temp_min_k: double
name: string
to
{'model': Value('string'), 'parameter': Value('string'), 'name': Value('string'), 'unit': Value('string'), 'scaling': {'mode': Value('string'), 'min_val': Value('float64'), 'max_val': Value('float64')}, 'run': Value('string'), 'date': Value('string'), 'init_time': Value('timestamp[s]'), 'type': Value('string'), 'total_frames': Value('int64'), 'frame_width': Value('int64'), 'frame_height': Value('int64'), 'temp_min_k': Value('float64'), 'temp_max_k': Value('float64'), 'chunks': List({'file': Value('string'), 'forecast_steps': List(Value('int64')), 'frame_count': Value('int64')}), 'generated_at': 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.
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