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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
intersection_voxels: int64
left_hemisphere_voxels: int64
n_manifest_rows: int64
n_resampled_run_masks: int64
n_run_masks: int64
reference_orientation: string
reference_shape: list<item: int64>
  child 0, item: int64
right_hemisphere_voxels: int64
run_mask_method: string
run_mask_voxels_max: int64
run_mask_voxels_min: int64
symmetric_mask_voxels: int64
alignment_subjects: list<item: string>
  child 0, item: string
regressor_n_tr_max: int64
regressor_n_features_max: int64
hrf_model: string
n_regressor_rows: int64
n_bold_rows: int64
bold_n_voxels_max: int64
analysis_mask_path: string
regressor_n_tr_min: int64
trim_end_tr: int64
trim_start_tr: int64
bold_n_tr_min: int64
regressor_n_features_min: int64
bold_n_voxels_min: int64
bold_n_tr_max: int64
to
{'alignment_subjects': List(Value('string')), 'analysis_mask_path': Value('string'), 'bold_n_tr_max': Value('int64'), 'bold_n_tr_min': Value('int64'), 'bold_n_voxels_max': Value('int64'), 'bold_n_voxels_min': Value('int64'), 'hrf_model': Value('string'), 'n_bold_rows': Value('int64'), 'n_regressor_rows': Value('int64'), 'regressor_n_features_max': Value('int64'), 'regressor_n_features_min': Value('int64'), 'regressor_n_tr_max': Value('int64'), 'regressor_n_tr_min': Value('int64'), 'trim_end_tr': Value('int64'), 'trim_start_tr': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 295, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              intersection_voxels: int64
              left_hemisphere_voxels: int64
              n_manifest_rows: int64
              n_resampled_run_masks: int64
              n_run_masks: int64
              reference_orientation: string
              reference_shape: list<item: int64>
                child 0, item: int64
              right_hemisphere_voxels: int64
              run_mask_method: string
              run_mask_voxels_max: int64
              run_mask_voxels_min: int64
              symmetric_mask_voxels: int64
              alignment_subjects: list<item: string>
                child 0, item: string
              regressor_n_tr_max: int64
              regressor_n_features_max: int64
              hrf_model: string
              n_regressor_rows: int64
              n_bold_rows: int64
              bold_n_voxels_max: int64
              analysis_mask_path: string
              regressor_n_tr_min: int64
              trim_end_tr: int64
              trim_start_tr: int64
              bold_n_tr_min: int64
              regressor_n_features_min: int64
              bold_n_voxels_min: int64
              bold_n_tr_max: int64
              to
              {'alignment_subjects': List(Value('string')), 'analysis_mask_path': Value('string'), 'bold_n_tr_max': Value('int64'), 'bold_n_tr_min': Value('int64'), 'bold_n_voxels_max': Value('int64'), 'bold_n_voxels_min': Value('int64'), 'hrf_model': Value('string'), 'n_bold_rows': Value('int64'), 'n_regressor_rows': Value('int64'), 'regressor_n_features_max': Value('int64'), 'regressor_n_features_min': Value('int64'), 'regressor_n_tr_max': Value('int64'), 'regressor_n_tr_min': Value('int64'), 'trim_end_tr': Value('int64'), 'trim_start_tr': Value('int64')}
              because column names don't match

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