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
bbox: struct<lat_min: int64, lat_max: int64, lon_min: int64, lon_max: int64>
  child 0, lat_min: int64
  child 1, lat_max: int64
  child 2, lon_min: int64
  child 3, lon_max: int64
width: int64
height: int64
elev_min: int64
elev_max: int64
dtype: string
byte_order: string
row_order: string
col_order: string
reference_radius_m: int64
rotation_period_days: double
rotation_note: string
coverage_note: string
source: string
rotation_period_h: double
to
{'bbox': {'lat_min': Value('int64'), 'lat_max': Value('int64'), 'lon_min': Value('int64'), 'lon_max': Value('int64')}, 'width': Value('int64'), 'height': Value('int64'), 'elev_min': Value('int64'), 'elev_max': Value('int64'), 'dtype': Value('string'), 'byte_order': Value('string'), 'row_order': Value('string'), 'col_order': Value('string'), 'reference_radius_m': Value('int64'), 'rotation_period_h': Value('float64'), 'source': 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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              bbox: struct<lat_min: int64, lat_max: int64, lon_min: int64, lon_max: int64>
                child 0, lat_min: int64
                child 1, lat_max: int64
                child 2, lon_min: int64
                child 3, lon_max: int64
              width: int64
              height: int64
              elev_min: int64
              elev_max: int64
              dtype: string
              byte_order: string
              row_order: string
              col_order: string
              reference_radius_m: int64
              rotation_period_days: double
              rotation_note: string
              coverage_note: string
              source: string
              rotation_period_h: double
              to
              {'bbox': {'lat_min': Value('int64'), 'lat_max': Value('int64'), 'lon_min': Value('int64'), 'lon_max': Value('int64')}, 'width': Value('int64'), 'height': Value('int64'), 'elev_min': Value('int64'), 'elev_max': Value('int64'), 'dtype': Value('string'), 'byte_order': Value('string'), 'row_order': Value('string'), 'col_order': Value('string'), 'reference_radius_m': Value('int64'), 'rotation_period_h': Value('float64'), 'source': Value('string')}
              because column names don't match

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