Datasets:

---

agharsallah

/

32xnocwh1z-repro

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
canonical_id: string
cost_estimate: string
claims: list<item: struct<n: int64, text: string, clazz: string, experiment: string, expected_verdict: strin (... 20 chars omitted)
  child 0, item: struct<n: int64, text: string, clazz: string, experiment: string, expected_verdict: string, needs_gp (... 8 chars omitted)
      child 0, n: int64
      child 1, text: string
      child 2, clazz: string
      child 3, experiment: string
      child 4, expected_verdict: string
      child 5, needs_gpu: bool
certificates: struct<n: int64, K: int64, eps: double, certificates_issued: int64, false_certificates: int64, sound (... 7 chars omitted)
  child 0, n: int64
  child 1, K: int64
  child 2, eps: double
  child 3, certificates_issued: int64
  child 4, false_certificates: int64
  child 5, sound: bool
bmp_a: struct<n: int64, K: int64, d: int64, threshold_mu: double, sweep: list<item: struct<mu: double, belo (... 43 chars omitted)
  child 0, n: int64
  child 1, K: int64
  child 2, d: int64
  child 3, threshold_mu: double
  child 4, sweep: list<item: struct<mu: double, below_threshold: bool, recovery_rate: double>>
      child 0, item: struct<mu: double, below_threshold: bool, recovery_rate: double>
          child 0, mu: double
          child 1, below_threshold: bool
          child 2, recovery_rate: double
timing: struct<n: int64, K: int64, t_bmp_s: double, t_bal_s: double, ratio_bal_over_bmp: double>
  child 0, n: int64
  child 1, K: int64
  child 2, t_bmp_s: double
  child 3, t_bal_s: double
  child 4, ratio_bal_over_bmp: double
algorithm: string
bal_a: list<item: struct<n: int64, K: int64, d: int64, trials: int64, exact_recovery_rate: double, ternary_ (... 14 chars omitted)
  child 0, item: struct<n: int64, K: int64, d: int64, trials: int64, exact_recovery_rate: double, ternary_rate: doubl (... 2 chars omitted)
      child 0, n: int64
      child 1, K: int64
      child 2, d: int64
      child 3, trials: int64
      child 4, exact_recovery_rate: double
      child 5, ternary_rate: double
to
{'algorithm': Value('string'), 'bal_a': List({'n': Value('int64'), 'K': Value('int64'), 'd': Value('int64'), 'trials': Value('int64'), 'exact_recovery_rate': Value('float64'), 'ternary_rate': Value('float64')}), 'bmp_a': {'n': Value('int64'), 'K': Value('int64'), 'd': Value('int64'), 'threshold_mu': Value('float64'), 'sweep': List({'mu': Value('float64'), 'below_threshold': Value('bool'), 'recovery_rate': Value('float64')})}, 'certificates': {'n': Value('int64'), 'K': Value('int64'), 'eps': Value('float64'), 'certificates_issued': Value('int64'), 'false_certificates': Value('int64'), 'sound': Value('bool')}, 'timing': {'n': Value('int64'), 'K': Value('int64'), 't_bmp_s': Value('float64'), 't_bal_s': Value('float64'), 'ratio_bal_over_bmp': Value('float64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
              canonical_id: string
              cost_estimate: string
              claims: list<item: struct<n: int64, text: string, clazz: string, experiment: string, expected_verdict: strin (... 20 chars omitted)
                child 0, item: struct<n: int64, text: string, clazz: string, experiment: string, expected_verdict: string, needs_gp (... 8 chars omitted)
                    child 0, n: int64
                    child 1, text: string
                    child 2, clazz: string
                    child 3, experiment: string
                    child 4, expected_verdict: string
                    child 5, needs_gpu: bool
              certificates: struct<n: int64, K: int64, eps: double, certificates_issued: int64, false_certificates: int64, sound (... 7 chars omitted)
                child 0, n: int64
                child 1, K: int64
                child 2, eps: double
                child 3, certificates_issued: int64
                child 4, false_certificates: int64
                child 5, sound: bool
              bmp_a: struct<n: int64, K: int64, d: int64, threshold_mu: double, sweep: list<item: struct<mu: double, belo (... 43 chars omitted)
                child 0, n: int64
                child 1, K: int64
                child 2, d: int64
                child 3, threshold_mu: double
                child 4, sweep: list<item: struct<mu: double, below_threshold: bool, recovery_rate: double>>
                    child 0, item: struct<mu: double, below_threshold: bool, recovery_rate: double>
                        child 0, mu: double
                        child 1, below_threshold: bool
                        child 2, recovery_rate: double
              timing: struct<n: int64, K: int64, t_bmp_s: double, t_bal_s: double, ratio_bal_over_bmp: double>
                child 0, n: int64
                child 1, K: int64
                child 2, t_bmp_s: double
                child 3, t_bal_s: double
                child 4, ratio_bal_over_bmp: double
              algorithm: string
              bal_a: list<item: struct<n: int64, K: int64, d: int64, trials: int64, exact_recovery_rate: double, ternary_ (... 14 chars omitted)
                child 0, item: struct<n: int64, K: int64, d: int64, trials: int64, exact_recovery_rate: double, ternary_rate: doubl (... 2 chars omitted)
                    child 0, n: int64
                    child 1, K: int64
                    child 2, d: int64
                    child 3, trials: int64
                    child 4, exact_recovery_rate: double
                    child 5, ternary_rate: double
              to
              {'algorithm': Value('string'), 'bal_a': List({'n': Value('int64'), 'K': Value('int64'), 'd': Value('int64'), 'trials': Value('int64'), 'exact_recovery_rate': Value('float64'), 'ternary_rate': Value('float64')}), 'bmp_a': {'n': Value('int64'), 'K': Value('int64'), 'd': Value('int64'), 'threshold_mu': Value('float64'), 'sweep': List({'mu': Value('float64'), 'below_threshold': Value('bool'), 'recovery_rate': Value('float64')})}, 'certificates': {'n': Value('int64'), 'K': Value('int64'), 'eps': Value('float64'), 'certificates_issued': Value('int64'), 'false_certificates': Value('int64'), 'sound': Value('bool')}, 'timing': {'n': Value('int64'), 'K': Value('int64'), 't_bmp_s': Value('float64'), 't_bal_s': Value('float64'), 'ratio_bal_over_bmp': Value('float64')}}
              because column names don't match