Datasets:

---

Firemedic15

/

coredteam-cybench-results

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
run_id: string
model: string
max_iter: int64
n_tasks: int64
methods: list<item: string>
  child 0, item: string
summary: struct<vanilla: struct<n: int64, success: int64, rate: double>, single_agent_iterative: struct<n: in (... 99 chars omitted)
  child 0, vanilla: struct<n: int64, success: int64, rate: double>
      child 0, n: int64
      child 1, success: int64
      child 2, rate: double
  child 1, single_agent_iterative: struct<n: int64, success: int64, rate: double>
      child 0, n: int64
      child 1, success: int64
      child 2, rate: double
  child 2, coredteam_mini: struct<n: int64, success: int64, rate: double>
      child 0, n: int64
      child 1, success: int64
      child 2, rate: double
iterations: int64
method: string
predicted_flag: string
llm_calls: int64
command_log: list<item: string>
  child 0, item: string
wall_time_s: double
success: bool
task: string
error: null
to
{'method': Value('string'), 'task': Value('string'), 'success': Value('bool'), 'predicted_flag': Value('string'), 'iterations': Value('int64'), 'wall_time_s': Value('float64'), 'llm_calls': Value('int64'), 'command_log': List(Value('string')), 'error': Value('null')}
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
              run_id: string
              model: string
              max_iter: int64
              n_tasks: int64
              methods: list<item: string>
                child 0, item: string
              summary: struct<vanilla: struct<n: int64, success: int64, rate: double>, single_agent_iterative: struct<n: in (... 99 chars omitted)
                child 0, vanilla: struct<n: int64, success: int64, rate: double>
                    child 0, n: int64
                    child 1, success: int64
                    child 2, rate: double
                child 1, single_agent_iterative: struct<n: int64, success: int64, rate: double>
                    child 0, n: int64
                    child 1, success: int64
                    child 2, rate: double
                child 2, coredteam_mini: struct<n: int64, success: int64, rate: double>
                    child 0, n: int64
                    child 1, success: int64
                    child 2, rate: double
              iterations: int64
              method: string
              predicted_flag: string
              llm_calls: int64
              command_log: list<item: string>
                child 0, item: string
              wall_time_s: double
              success: bool
              task: string
              error: null
              to
              {'method': Value('string'), 'task': Value('string'), 'success': Value('bool'), 'predicted_flag': Value('string'), 'iterations': Value('int64'), 'wall_time_s': Value('float64'), 'llm_calls': Value('int64'), 'command_log': List(Value('string')), 'error': Value('null')}
              because column names don't match