Datasets:

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prism-drift

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9B-M0-v4-values-drift

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Prism 2026 AI Preference Drift 8

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
mode: string
model_key: string
save_suffix: string
concreteness_level: string
reasoning: bool
compute_utilities_config_key: string
create_agent_config_key: string
split: string
iteration: int64
prompt_idx: int64
sample_idx: int64
option_a_id: int64
option_b_id: int64
option_a_description: string
option_b_description: string
direction: string
presented_first_id: int64
presented_second_id: int64
presented_first_description: string
presented_second_description: string
prompt: string
raw_response: string
parsed_response: string
parse_status: string
multiple_answers: bool
parsed_response_semantics: string
options: list<item: struct<scorer_option_id: int64, canonical_id: string, trait: string, trait_level: string, (... 278 chars omitted)
  child 0, item: struct<scorer_option_id: int64, canonical_id: string, trait: string, trait_level: string, example_da (... 266 chars omitted)
      child 0, scorer_option_id: int64
      child 1, canonical_id: string
      child 2, trait: string
      child 3, trait_level: string
      child 4, example_datapoints_source: string
      child 5, example_datapoints_provenance: struct<pool: string, record_ids: list<item: string>, shared_scenario_original_indices: list<item: in (... 42 chars omitted)
          child 0, pool: string
          child 1, record_ids: list<item: string>
              child 0, item: string
          child 2, shared_scenario_original_indices: list<item: int64>
              child 0, item: int64
          child 3, selection: string
          child 4, max_chars: int64
      child 6, concreteness_level: string
      child 7, category: string
      child 8, description: string
scorer_id_policy: string
to
{'mode': Value('string'), 'concreteness_level': Value('string'), 'save_suffix': Value('string'), 'scorer_id_policy': Value('string'), 'options': List({'scorer_option_id': Value('int64'), 'canonical_id': Value('string'), 'trait': Value('string'), 'trait_level': Value('string'), 'example_datapoints_source': Value('string'), 'example_datapoints_provenance': {'pool': Value('string'), 'record_ids': List(Value('string')), 'shared_scenario_original_indices': List(Value('int64')), 'selection': Value('string'), 'max_chars': Value('int64')}, 'concreteness_level': Value('string'), 'category': Value('string'), 'description': 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
              mode: string
              model_key: string
              save_suffix: string
              concreteness_level: string
              reasoning: bool
              compute_utilities_config_key: string
              create_agent_config_key: string
              split: string
              iteration: int64
              prompt_idx: int64
              sample_idx: int64
              option_a_id: int64
              option_b_id: int64
              option_a_description: string
              option_b_description: string
              direction: string
              presented_first_id: int64
              presented_second_id: int64
              presented_first_description: string
              presented_second_description: string
              prompt: string
              raw_response: string
              parsed_response: string
              parse_status: string
              multiple_answers: bool
              parsed_response_semantics: string
              options: list<item: struct<scorer_option_id: int64, canonical_id: string, trait: string, trait_level: string, (... 278 chars omitted)
                child 0, item: struct<scorer_option_id: int64, canonical_id: string, trait: string, trait_level: string, example_da (... 266 chars omitted)
                    child 0, scorer_option_id: int64
                    child 1, canonical_id: string
                    child 2, trait: string
                    child 3, trait_level: string
                    child 4, example_datapoints_source: string
                    child 5, example_datapoints_provenance: struct<pool: string, record_ids: list<item: string>, shared_scenario_original_indices: list<item: in (... 42 chars omitted)
                        child 0, pool: string
                        child 1, record_ids: list<item: string>
                            child 0, item: string
                        child 2, shared_scenario_original_indices: list<item: int64>
                            child 0, item: int64
                        child 3, selection: string
                        child 4, max_chars: int64
                    child 6, concreteness_level: string
                    child 7, category: string
                    child 8, description: string
              scorer_id_policy: string
              to
              {'mode': Value('string'), 'concreteness_level': Value('string'), 'save_suffix': Value('string'), 'scorer_id_policy': Value('string'), 'options': List({'scorer_option_id': Value('int64'), 'canonical_id': Value('string'), 'trait': Value('string'), 'trait_level': Value('string'), 'example_datapoints_source': Value('string'), 'example_datapoints_provenance': {'pool': Value('string'), 'record_ids': List(Value('string')), 'shared_scenario_original_indices': List(Value('int64')), 'selection': Value('string'), 'max_chars': Value('int64')}, 'concreteness_level': Value('string'), 'category': Value('string'), 'description': Value('string')})}
              because column names don't match