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Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<name: string, lora_target: string, task_type: string, userprompt: string, expected_output_description: string, style_anchors: list<item: string>, reference_exemplar_urls: list<item: null>, quality_rubric: struct<voice_consistency: string, hook_strength: string, variant_diversity: string, audience_fit: string, design_principles_application: string, plot_arc_completeness: string, consent_clarity: string>, expected_modality: string, nsfw_level: int64, hard_redline_check: string, axentx_asset_reuse_percent: int64>
to
{'name': Value('string'), 'lora_target': Value('string'), 'task_type': Value('string'), 'user_prompt': Value('string'), 'expected_output_description': Value('string'), 'style_anchors': List(Value('string')), 'reference_exemplar_urls': List(Value('null')), 'quality_rubric': {'voice_consistency': Value('string'), 'hook_strength': Value('string'), 'variant_diversity': Value('string'), 'audience_fit': Value('string'), 'design_principles_application': Value('string'), 'plot_arc_completeness': Value('string'), 'consent_clarity': Value('string')}, 'expected_modality': Value('string'), 'nsfw_level': Value('int64'), 'hard_redline_check': Value('string'), 'axentx_asset_reuse_percent': Value('int64')}
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 2303, 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 1852, 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 2109, in cast_array_to_feature
                  casted_array_values = _c(array.values, feature.feature)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1854, in wrapper
                  return func(array, *args, **kwargs)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2149, 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<name: string, lora_target: string, task_type: string, userprompt: string, expected_output_description: string, style_anchors: list<item: string>, reference_exemplar_urls: list<item: null>, quality_rubric: struct<voice_consistency: string, hook_strength: string, variant_diversity: string, audience_fit: string, design_principles_application: string, plot_arc_completeness: string, consent_clarity: string>, expected_modality: string, nsfw_level: int64, hard_redline_check: string, axentx_asset_reuse_percent: int64>
              to
              {'name': Value('string'), 'lora_target': Value('string'), 'task_type': Value('string'), 'user_prompt': Value('string'), 'expected_output_description': Value('string'), 'style_anchors': List(Value('string')), 'reference_exemplar_urls': List(Value('null')), 'quality_rubric': {'voice_consistency': Value('string'), 'hook_strength': Value('string'), 'variant_diversity': Value('string'), 'audience_fit': Value('string'), 'design_principles_application': Value('string'), 'plot_arc_completeness': Value('string'), 'consent_clarity': Value('string')}, 'expected_modality': Value('string'), 'nsfw_level': Value('int64'), 'hard_redline_check': Value('string'), 'axentx_asset_reuse_percent': Value('int64')}