Datasets:

---

Itachi-42

/

cipher-eval-v3-0.5b-smoke

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
n: int64
mean: double
std: double
sem: double
ci95_half: double
ci95: list<item: double>
  child 0, item: double
min: double
max: double
mean_utility: double
mean_recon: double
approved_rate: double
wall_clock_sec: double
base_model: string
checkpoint: null
eval_seed: int64
reward_mode: string
phase: string
reward: double
verbosity: double
reconstruction: double
terminated_reason: string
utility: double
task_id: string
turns: int64
episode_idx: int64
to
{'episode_idx': Value('int64'), 'task_id': Value('string'), 'phase': Value('string'), 'reward': Value('float64'), 'utility': Value('float64'), 'reconstruction': Value('float64'), 'verbosity': Value('float64'), 'turns': Value('int64'), 'terminated_reason': Value('string')}
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 299, 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
              n: int64
              mean: double
              std: double
              sem: double
              ci95_half: double
              ci95: list<item: double>
                child 0, item: double
              min: double
              max: double
              mean_utility: double
              mean_recon: double
              approved_rate: double
              wall_clock_sec: double
              base_model: string
              checkpoint: null
              eval_seed: int64
              reward_mode: string
              phase: string
              reward: double
              verbosity: double
              reconstruction: double
              terminated_reason: string
              utility: double
              task_id: string
              turns: int64
              episode_idx: int64
              to
              {'episode_idx': Value('int64'), 'task_id': Value('string'), 'phase': Value('string'), 'reward': Value('float64'), 'utility': Value('float64'), 'reconstruction': Value('float64'), 'verbosity': Value('float64'), 'turns': Value('int64'), 'terminated_reason': Value('string')}
              because column names don't match