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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<L_in: int64, admissible: list<item: bool>, anchor: struct<col: int64, id: string, lat: double, lat_asked: double, lon: double, lon_asked: double, name: string, note: string, row: int64>, bins: list<item: int64>, channel_family: struct<cur_speed: string, cur_u: string, cur_v: string, lhtfl: string, log_mld: string, log_prate: string, log_swe: string, rg_s10: string, rg_s100: string, rg_s1100: string, rg_s1300: string, rg_s150: string, rg_s1500: string, rg_s1700: string, rg_s1900: string, rg_s200: string, rg_s30: string, rg_s300: string, rg_s400: string, rg_s50: string, rg_s500: string, rg_s700: string, rg_s900: string, rg_t10: string, rg_t100: string, rg_t1100: string, rg_t1300: string, rg_t150: string, rg_t1500: string, rg_t1700: string, rg_t1900: string, rg_t200: string, rg_t30: string, rg_t300: string, rg_t400: string, rg_t50: string, rg_t500: string, rg_t700: string, rg_t900: string, sea_ice: string, shtfl: string, skt: string, soilw: string, sp: string, ssh: string, sst: string, t2m: string, tau_x: string, tau_x_std: string, tau_y: string, tau_y_std: string, tsoil: string, u10: string, v10: string>, channel_group: struct<cur_speed: string, cur_u: string, cur_v: string, lhtfl: string, log_mld: string, log_prate: string, log_swe: string, rg_s10: string, rg_s100: string, rg_s1100: string, rg_s1300: string, rg_s150: string, rg_s1500: string, rg_s1700: string, rg_s1900: string, rg_s200: string, rg_s30: string, rg_s300: string, rg_s400: string, rg_s50: string, rg_s500: s
...
<g025: list<item: int64>, g100: list<item: int64>, rg100: list<item: int64>>, months_first: string, months_last: string, name: string, pentad_days: int64, recipe: string, sha256: string, shape: list<item: int64>, window: string>, terminal_train_last_year: int64, units: struct<cur_speed: string, cur_u: string, cur_v: string, lhtfl: string, log_mld: string, log_prate: string, log_swe: string, rg_s10: string, rg_s100: string, rg_s1100: string, rg_s1300: string, rg_s150: string, rg_s1500: string, rg_s1700: string, rg_s1900: string, rg_s200: string, rg_s30: string, rg_s300: string, rg_s400: string, rg_s50: string, rg_s500: string, rg_s700: string, rg_s900: string, rg_t10: string, rg_t100: string, rg_t1100: string, rg_t1300: string, rg_t150: string, rg_t1500: string, rg_t1700: string, rg_t1900: string, rg_t200: string, rg_t30: string, rg_t300: string, rg_t400: string, rg_t50: string, rg_t500: string, rg_t700: string, rg_t900: string, sea_ice: string, shtfl: string, skt: string, soilw: string, sp: string, ssh: string, sst: string, t2m: string, tau_x: string, tau_x_std: string, tau_y: string, tau_y_std: string, tsoil: string, u10: string, v10: string>, value_space: struct<anomaly: string, anomaly_note: string, dynamic_channels_by_group: struct<g025: list<item: int64>, g100: list<item: int64>, rg100: list<item: int64>>, physical: string, raw: string, tensor_norm: struct<g025: list<item: list<item: double>>, g100: list<item: list<item: double>>, rg100: list<item: list<item: double>>>>>
to
{'L_in': Value('int64'), 'admissible': List(Value('bool')), 'anchor': {'col': Value('int64'), 'id': Value('string'), 'lat': Value('float64'), 'lat_asked': Value('float64'), 'lon': Value('float64'), 'lon_asked': Value('float64'), 'name': Value('string'), 'row': Value('int64')}, 'bins': List(Value('int64')), 'channel_family': {'cur_speed': Value('string'), 'cur_u': Value('string'), 'cur_v': Value('string'), 'log_mld': Value('string'), 'rg_s10': Value('string'), 'rg_s100': Value('string'), 'rg_s1100': Value('string'), 'rg_s1300': Value('string'), 'rg_s150': Value('string'), 'rg_s1500': Value('string'), 'rg_s1700': Value('string'), 'rg_s1900': Value('string'), 'rg_s200': Value('string'), 'rg_s30': Value('string'), 'rg_s300': Value('string'), 'rg_s400': Value('string'), 'rg_s50': Value('string'), 'rg_s500': Value('string'), 'rg_s700': Value('string'), 'rg_s900': Value('string'), 'rg_t10': Value('string'), 'rg_t100': Value('string'), 'rg_t1100': Value('string'), 'rg_t1300': Value('string'), 'rg_t150': Value('string'), 'rg_t1500': Value('string'), 'rg_t1700': Value('string'), 'rg_t1900': Value('string'), 'rg_t200': Value('string'), 'rg_t30': Value('string'), 'rg_t300': Value('string'), 'rg_t400': Value('string'), 'rg_t50': Value('string'), 'rg_t500': Value('string'), 'rg_t700': Value('string'), 'rg_t900': Value('string'), 'ssh': Value('string'), 'sst': Value('string'), 'tau_x': Value('string'), 'tau_x_std': Value('string'), 'tau_y': Value('string'), 'tau_y_std': Value('string')}, 'c
...
_year': Value('int64'), 'units': {'cur_speed': Value('string'), 'cur_u': Value('string'), 'cur_v': Value('string'), 'log_mld': Value('string'), 'rg_s10': Value('string'), 'rg_s100': Value('string'), 'rg_s1100': Value('string'), 'rg_s1300': Value('string'), 'rg_s150': Value('string'), 'rg_s1500': Value('string'), 'rg_s1700': Value('string'), 'rg_s1900': Value('string'), 'rg_s200': Value('string'), 'rg_s30': Value('string'), 'rg_s300': Value('string'), 'rg_s400': Value('string'), 'rg_s50': Value('string'), 'rg_s500': Value('string'), 'rg_s700': Value('string'), 'rg_s900': Value('string'), 'rg_t10': Value('string'), 'rg_t100': Value('string'), 'rg_t1100': Value('string'), 'rg_t1300': Value('string'), 'rg_t150': Value('string'), 'rg_t1500': Value('string'), 'rg_t1700': Value('string'), 'rg_t1900': Value('string'), 'rg_t200': Value('string'), 'rg_t30': Value('string'), 'rg_t300': Value('string'), 'rg_t400': Value('string'), 'rg_t50': Value('string'), 'rg_t500': Value('string'), 'rg_t700': Value('string'), 'rg_t900': Value('string'), 'ssh': Value('string'), 'sst': Value('string'), 'tau_x': Value('string'), 'tau_x_std': Value('string'), 'tau_y': Value('string'), 'tau_y_std': Value('string')}, 'value_space': {'anomaly': Value('string'), 'anomaly_mean': List(Value('float64')), 'anomaly_note': Value('string'), 'anomaly_sd': List(Value('float64')), 'dynamic_channels': List(Value('int64')), 'physical': Value('string'), 'raw': Value('string'), 'tensor_norm': List(List(Value('float64')))}}
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 2312, in cast_table_to_schema
                  cast_array_to_feature(
                  ~~~~~~~~~~~~~~~~~~~~~^
                      table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                      feature,
                      ^^^^^^^^
                  )
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ~~~~^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<L_in: int64, admissible: list<item: bool>, anchor: struct<col: int64, id: string, lat: double, lat_asked: double, lon: double, lon_asked: double, name: string, note: string, row: int64>, bins: list<item: int64>, channel_family: struct<cur_speed: string, cur_u: string, cur_v: string, lhtfl: string, log_mld: string, log_prate: string, log_swe: string, rg_s10: string, rg_s100: string, rg_s1100: string, rg_s1300: string, rg_s150: string, rg_s1500: string, rg_s1700: string, rg_s1900: string, rg_s200: string, rg_s30: string, rg_s300: string, rg_s400: string, rg_s50: string, rg_s500: string, rg_s700: string, rg_s900: string, rg_t10: string, rg_t100: string, rg_t1100: string, rg_t1300: string, rg_t150: string, rg_t1500: string, rg_t1700: string, rg_t1900: string, rg_t200: string, rg_t30: string, rg_t300: string, rg_t400: string, rg_t50: string, rg_t500: string, rg_t700: string, rg_t900: string, sea_ice: string, shtfl: string, skt: string, soilw: string, sp: string, ssh: string, sst: string, t2m: string, tau_x: string, tau_x_std: string, tau_y: string, tau_y_std: string, tsoil: string, u10: string, v10: string>, channel_group: struct<cur_speed: string, cur_u: string, cur_v: string, lhtfl: string, log_mld: string, log_prate: string, log_swe: string, rg_s10: string, rg_s100: string, rg_s1100: string, rg_s1300: string, rg_s150: string, rg_s1500: string, rg_s1700: string, rg_s1900: string, rg_s200: string, rg_s30: string, rg_s300: string, rg_s400: string, rg_s50: string, rg_s500: s
              ...
              <g025: list<item: int64>, g100: list<item: int64>, rg100: list<item: int64>>, months_first: string, months_last: string, name: string, pentad_days: int64, recipe: string, sha256: string, shape: list<item: int64>, window: string>, terminal_train_last_year: int64, units: struct<cur_speed: string, cur_u: string, cur_v: string, lhtfl: string, log_mld: string, log_prate: string, log_swe: string, rg_s10: string, rg_s100: string, rg_s1100: string, rg_s1300: string, rg_s150: string, rg_s1500: string, rg_s1700: string, rg_s1900: string, rg_s200: string, rg_s30: string, rg_s300: string, rg_s400: string, rg_s50: string, rg_s500: string, rg_s700: string, rg_s900: string, rg_t10: string, rg_t100: string, rg_t1100: string, rg_t1300: string, rg_t150: string, rg_t1500: string, rg_t1700: string, rg_t1900: string, rg_t200: string, rg_t30: string, rg_t300: string, rg_t400: string, rg_t50: string, rg_t500: string, rg_t700: string, rg_t900: string, sea_ice: string, shtfl: string, skt: string, soilw: string, sp: string, ssh: string, sst: string, t2m: string, tau_x: string, tau_x_std: string, tau_y: string, tau_y_std: string, tsoil: string, u10: string, v10: string>, value_space: struct<anomaly: string, anomaly_note: string, dynamic_channels_by_group: struct<g025: list<item: int64>, g100: list<item: int64>, rg100: list<item: int64>>, physical: string, raw: string, tensor_norm: struct<g025: list<item: list<item: double>>, g100: list<item: list<item: double>>, rg100: list<item: list<item: double>>>>>
              to
              {'L_in': Value('int64'), 'admissible': List(Value('bool')), 'anchor': {'col': Value('int64'), 'id': Value('string'), 'lat': Value('float64'), 'lat_asked': Value('float64'), 'lon': Value('float64'), 'lon_asked': Value('float64'), 'name': Value('string'), 'row': Value('int64')}, 'bins': List(Value('int64')), 'channel_family': {'cur_speed': Value('string'), 'cur_u': Value('string'), 'cur_v': Value('string'), 'log_mld': Value('string'), 'rg_s10': Value('string'), 'rg_s100': Value('string'), 'rg_s1100': Value('string'), 'rg_s1300': Value('string'), 'rg_s150': Value('string'), 'rg_s1500': Value('string'), 'rg_s1700': Value('string'), 'rg_s1900': Value('string'), 'rg_s200': Value('string'), 'rg_s30': Value('string'), 'rg_s300': Value('string'), 'rg_s400': Value('string'), 'rg_s50': Value('string'), 'rg_s500': Value('string'), 'rg_s700': Value('string'), 'rg_s900': Value('string'), 'rg_t10': Value('string'), 'rg_t100': Value('string'), 'rg_t1100': Value('string'), 'rg_t1300': Value('string'), 'rg_t150': Value('string'), 'rg_t1500': Value('string'), 'rg_t1700': Value('string'), 'rg_t1900': Value('string'), 'rg_t200': Value('string'), 'rg_t30': Value('string'), 'rg_t300': Value('string'), 'rg_t400': Value('string'), 'rg_t50': Value('string'), 'rg_t500': Value('string'), 'rg_t700': Value('string'), 'rg_t900': Value('string'), 'ssh': Value('string'), 'sst': Value('string'), 'tau_x': Value('string'), 'tau_x_std': Value('string'), 'tau_y': Value('string'), 'tau_y_std': Value('string')}, 'c
              ...
              _year': Value('int64'), 'units': {'cur_speed': Value('string'), 'cur_u': Value('string'), 'cur_v': Value('string'), 'log_mld': Value('string'), 'rg_s10': Value('string'), 'rg_s100': Value('string'), 'rg_s1100': Value('string'), 'rg_s1300': Value('string'), 'rg_s150': Value('string'), 'rg_s1500': Value('string'), 'rg_s1700': Value('string'), 'rg_s1900': Value('string'), 'rg_s200': Value('string'), 'rg_s30': Value('string'), 'rg_s300': Value('string'), 'rg_s400': Value('string'), 'rg_s50': Value('string'), 'rg_s500': Value('string'), 'rg_s700': Value('string'), 'rg_s900': Value('string'), 'rg_t10': Value('string'), 'rg_t100': Value('string'), 'rg_t1100': Value('string'), 'rg_t1300': Value('string'), 'rg_t150': Value('string'), 'rg_t1500': Value('string'), 'rg_t1700': Value('string'), 'rg_t1900': Value('string'), 'rg_t200': Value('string'), 'rg_t30': Value('string'), 'rg_t300': Value('string'), 'rg_t400': Value('string'), 'rg_t50': Value('string'), 'rg_t500': Value('string'), 'rg_t700': Value('string'), 'rg_t900': Value('string'), 'ssh': Value('string'), 'sst': Value('string'), 'tau_x': Value('string'), 'tau_x_std': Value('string'), 'tau_y': Value('string'), 'tau_y_std': Value('string')}, 'value_space': {'anomaly': Value('string'), 'anomaly_mean': List(Value('float64')), 'anomaly_note': Value('string'), 'anomaly_sd': List(Value('float64')), 'dynamic_channels': List(Value('int64')), 'physical': Value('string'), 'raw': Value('string'), 'tensor_norm': List(List(Value('float64')))}}

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