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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
_comment: list<item: string>
  child 0, item: string
dataset_id: string
data: string
luminosity_fb: double
myy_window_gev: list<item: double>
  child 0, item: double
signal_region_gev: list<item: double>
  child 0, item: double
basis: string
variables: list<item: string>
  child 0, item: string
preselection: struct<_comment: list<item: string>, n_photons: int64, photon_pt_over_myy_min: list<item: double>, p (... 159 chars omitted)
  child 0, _comment: list<item: string>
      child 0, item: string
  child 1, n_photons: int64
  child 2, photon_pt_over_myy_min: list<item: double>
      child 0, item: double
  child 3, photon_abs_eta_max: double
  child 4, photon_abs_eta_excluded: list<item: double>
      child 0, item: double
  child 5, jet_pt_min_gev: double
  child 6, jet_abs_eta_max: double
  child 7, jet_slots: int64
  child 8, jet_padding: string
cross_section_fb: double
n_events: int64
weight_note: list<item: string>
  child 0, item: string
format: string
role: string
weight_scheme: string
to
{'_comment': List(Value('string')), 'dataset_id': Value('string'), 'role': Value('string'), 'data': Value('string'), 'format': Value('string'), 'weight_scheme': Value('string'), 'weight_note': List(Value('string')), 'cross_section_fb': Value('float64'), 'n_events': Value('int64'), 'myy_window_gev': List(Value('float64')), 'basis': Value('string'), 'variables': List(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
              _comment: list<item: string>
                child 0, item: string
              dataset_id: string
              data: string
              luminosity_fb: double
              myy_window_gev: list<item: double>
                child 0, item: double
              signal_region_gev: list<item: double>
                child 0, item: double
              basis: string
              variables: list<item: string>
                child 0, item: string
              preselection: struct<_comment: list<item: string>, n_photons: int64, photon_pt_over_myy_min: list<item: double>, p (... 159 chars omitted)
                child 0, _comment: list<item: string>
                    child 0, item: string
                child 1, n_photons: int64
                child 2, photon_pt_over_myy_min: list<item: double>
                    child 0, item: double
                child 3, photon_abs_eta_max: double
                child 4, photon_abs_eta_excluded: list<item: double>
                    child 0, item: double
                child 5, jet_pt_min_gev: double
                child 6, jet_abs_eta_max: double
                child 7, jet_slots: int64
                child 8, jet_padding: string
              cross_section_fb: double
              n_events: int64
              weight_note: list<item: string>
                child 0, item: string
              format: string
              role: string
              weight_scheme: string
              to
              {'_comment': List(Value('string')), 'dataset_id': Value('string'), 'role': Value('string'), 'data': Value('string'), 'format': Value('string'), 'weight_scheme': Value('string'), 'weight_note': List(Value('string')), 'cross_section_fb': Value('float64'), 'n_events': Value('int64'), 'myy_window_gev': List(Value('float64')), 'basis': Value('string'), 'variables': List(Value('string'))}
              because column names don't match

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