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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
goal_idx: int64
goal: string
arm: string
text: string
sr: double
substr_refusal: int64
Y_harm: int64
Y_q5_strict: int64
degen: bool
lang: bool
traj_r_refusal: list<item: double>
  child 0, item: double
traj_d_P: list<item: double>
  child 0, item: double
all_pass: bool
stage: int64
checks: struct<dP_finite: bool, decompose_finite: bool, nulls_finite: bool, greedy_byte_identical: bool, no_ (... 152 chars omitted)
  child 0, dP_finite: bool
  child 1, decompose_finite: bool
  child 2, nulls_finite: bool
  child 3, greedy_byte_identical: bool
  child 4, no_lingering_hooks: bool
  child 5, capture_aligns: bool
  child 6, projection_finite: bool
  child 7, hooks_removed_after_all: bool
  child 8, branch_resume: bool
  child 9, battery_scored_all_arms: bool
arm_texts: struct<plain_base: string, text_P: string, dP_full: string, dP_prompt: string, dP_boundary: string,  (... 88 chars omitted)
  child 0, plain_base: string
  child 1, text_P: string
  child 2, dP_full: string
  child 3, dP_prompt: string
  child 4, dP_boundary: string
  child 5, dP_gen_0_3: string
  child 6, dP_gen_0_15: string
  child 7, dP_gen_after_15: string
  child 8, dP_generation: string
arm_scores: struct<plain_base: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, dege (... 943 chars omitted)
  child 0, plain_base: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
      child 0, sr: double
      child 1, substr_
...
ld 3, Y_q5_strict: int64
      child 4, degen: bool
      child 5, lang: bool
  child 5, dP_gen_0_3: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
      child 0, sr: double
      child 1, substr_refusal: int64
      child 2, Y_harm: int64
      child 3, Y_q5_strict: int64
      child 4, degen: bool
      child 5, lang: bool
  child 6, dP_gen_0_15: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
      child 0, sr: double
      child 1, substr_refusal: int64
      child 2, Y_harm: int64
      child 3, Y_q5_strict: int64
      child 4, degen: bool
      child 5, lang: bool
  child 7, dP_gen_after_15: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
      child 0, sr: double
      child 1, substr_refusal: int64
      child 2, Y_harm: int64
      child 3, Y_q5_strict: int64
      child 4, degen: bool
      child 5, lang: bool
  child 8, dP_generation: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
      child 0, sr: double
      child 1, substr_refusal: int64
      child 2, Y_harm: int64
      child 3, Y_q5_strict: int64
      child 4, degen: bool
      child 5, lang: bool
model: string
exp: string
primary: string
n_tokens_captured: int64
band: list<item: int64>
  child 0, item: int64
to
{'exp': Value('string'), 'stage': Value('int64'), 'model': Value('string'), 'band': List(Value('int64')), 'primary': Value('string'), 'checks': {'dP_finite': Value('bool'), 'decompose_finite': Value('bool'), 'nulls_finite': Value('bool'), 'greedy_byte_identical': Value('bool'), 'no_lingering_hooks': Value('bool'), 'capture_aligns': Value('bool'), 'projection_finite': Value('bool'), 'hooks_removed_after_all': Value('bool'), 'branch_resume': Value('bool'), 'battery_scored_all_arms': Value('bool')}, 'all_pass': Value('bool'), 'arm_texts': {'plain_base': Value('string'), 'text_P': Value('string'), 'dP_full': Value('string'), 'dP_prompt': Value('string'), 'dP_boundary': Value('string'), 'dP_gen_0_3': Value('string'), 'dP_gen_0_15': Value('string'), 'dP_gen_after_15': Value('string'), 'dP_generation': Value('string')}, 'arm_scores': {'plain_base': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'text_P': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_full': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_prompt': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_boundary': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_gen_0_3': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_gen_0_15': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_gen_after_15': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_generation': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}}, 'n_tokens_captured': Value('int64')}
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 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 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              goal_idx: int64
              goal: string
              arm: string
              text: string
              sr: double
              substr_refusal: int64
              Y_harm: int64
              Y_q5_strict: int64
              degen: bool
              lang: bool
              traj_r_refusal: list<item: double>
                child 0, item: double
              traj_d_P: list<item: double>
                child 0, item: double
              all_pass: bool
              stage: int64
              checks: struct<dP_finite: bool, decompose_finite: bool, nulls_finite: bool, greedy_byte_identical: bool, no_ (... 152 chars omitted)
                child 0, dP_finite: bool
                child 1, decompose_finite: bool
                child 2, nulls_finite: bool
                child 3, greedy_byte_identical: bool
                child 4, no_lingering_hooks: bool
                child 5, capture_aligns: bool
                child 6, projection_finite: bool
                child 7, hooks_removed_after_all: bool
                child 8, branch_resume: bool
                child 9, battery_scored_all_arms: bool
              arm_texts: struct<plain_base: string, text_P: string, dP_full: string, dP_prompt: string, dP_boundary: string,  (... 88 chars omitted)
                child 0, plain_base: string
                child 1, text_P: string
                child 2, dP_full: string
                child 3, dP_prompt: string
                child 4, dP_boundary: string
                child 5, dP_gen_0_3: string
                child 6, dP_gen_0_15: string
                child 7, dP_gen_after_15: string
                child 8, dP_generation: string
              arm_scores: struct<plain_base: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, dege (... 943 chars omitted)
                child 0, plain_base: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
                    child 0, sr: double
                    child 1, substr_
              ...
              ld 3, Y_q5_strict: int64
                    child 4, degen: bool
                    child 5, lang: bool
                child 5, dP_gen_0_3: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
                    child 0, sr: double
                    child 1, substr_refusal: int64
                    child 2, Y_harm: int64
                    child 3, Y_q5_strict: int64
                    child 4, degen: bool
                    child 5, lang: bool
                child 6, dP_gen_0_15: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
                    child 0, sr: double
                    child 1, substr_refusal: int64
                    child 2, Y_harm: int64
                    child 3, Y_q5_strict: int64
                    child 4, degen: bool
                    child 5, lang: bool
                child 7, dP_gen_after_15: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
                    child 0, sr: double
                    child 1, substr_refusal: int64
                    child 2, Y_harm: int64
                    child 3, Y_q5_strict: int64
                    child 4, degen: bool
                    child 5, lang: bool
                child 8, dP_generation: struct<sr: double, substr_refusal: int64, Y_harm: int64, Y_q5_strict: int64, degen: bool, lang: bool (... 1 chars omitted)
                    child 0, sr: double
                    child 1, substr_refusal: int64
                    child 2, Y_harm: int64
                    child 3, Y_q5_strict: int64
                    child 4, degen: bool
                    child 5, lang: bool
              model: string
              exp: string
              primary: string
              n_tokens_captured: int64
              band: list<item: int64>
                child 0, item: int64
              to
              {'exp': Value('string'), 'stage': Value('int64'), 'model': Value('string'), 'band': List(Value('int64')), 'primary': Value('string'), 'checks': {'dP_finite': Value('bool'), 'decompose_finite': Value('bool'), 'nulls_finite': Value('bool'), 'greedy_byte_identical': Value('bool'), 'no_lingering_hooks': Value('bool'), 'capture_aligns': Value('bool'), 'projection_finite': Value('bool'), 'hooks_removed_after_all': Value('bool'), 'branch_resume': Value('bool'), 'battery_scored_all_arms': Value('bool')}, 'all_pass': Value('bool'), 'arm_texts': {'plain_base': Value('string'), 'text_P': Value('string'), 'dP_full': Value('string'), 'dP_prompt': Value('string'), 'dP_boundary': Value('string'), 'dP_gen_0_3': Value('string'), 'dP_gen_0_15': Value('string'), 'dP_gen_after_15': Value('string'), 'dP_generation': Value('string')}, 'arm_scores': {'plain_base': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'text_P': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_full': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_prompt': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_boundary': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_gen_0_3': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_gen_0_15': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_gen_after_15': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}, 'dP_generation': {'sr': Value('float64'), 'substr_refusal': Value('int64'), 'Y_harm': Value('int64'), 'Y_q5_strict': Value('int64'), 'degen': Value('bool'), 'lang': Value('bool')}}, 'n_tokens_captured': Value('int64')}
              because column names don't match

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