Datasets:

---

Itachi-42

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cipher-eval-v3-0.5b

like 0

Error code:   DatasetGenerationError
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
verbosity: double
reconstruction: double
reward: double
utility: double
task_id: string
phase: string
episode_idx: int64
terminated_reason: string
turns: 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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1779, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                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
              verbosity: double
              reconstruction: double
              reward: double
              utility: double
              task_id: string
              phase: string
              episode_idx: int64
              terminated_reason: string
              turns: 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
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 882, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 943, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1646, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1832, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset