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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
task_name: string
instance_id: string
run_id: string
setting: string
started_at: string
ended_at: string
duration_seconds: double
status: string
correct: bool
score: double
proposal: null
agents: struct<agent1: struct<feature_id: int64, role: string, model: string, cost: double, steps: int64, st (... 122 chars omitted)
  child 0, agent1: struct<feature_id: int64, role: string, model: string, cost: double, steps: int64, status: string>
      child 0, feature_id: int64
      child 1, role: string
      child 2, model: string
      child 3, cost: double
      child 4, steps: int64
      child 5, status: string
  child 1, agent2: struct<feature_id: int64, role: string, model: string, cost: double, steps: int64, status: string>
      child 0, feature_id: int64
      child 1, role: string
      child 2, model: string
      child 3, cost: double
      child 4, steps: int64
      child 5, status: string
total_cost: double
total_steps: int64
metadata: struct<>
feature_id: int64
messages: list<item: struct<role: string, prompt: string>>
  child 0, item: struct<role: string, prompt: string>
      child 0, role: string
      child 1, prompt: string
action: string
role: string
agent_id: string
model: string
cost: double
steps: int64
to
{'task_name': Value('string'), 'instance_id': Value('string'), 'feature_id': Value('int64'), 'agent_id': Value('string'), 'role': Value('string'), 'model': Value('string'), 'status': Value('string'), 'cost': Value('float64'), 'steps': Value('int64'), 'messages': List({'role': Value('string'), 'prompt': Value('string')}), 'action': 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 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              task_name: string
              instance_id: string
              run_id: string
              setting: string
              started_at: string
              ended_at: string
              duration_seconds: double
              status: string
              correct: bool
              score: double
              proposal: null
              agents: struct<agent1: struct<feature_id: int64, role: string, model: string, cost: double, steps: int64, st (... 122 chars omitted)
                child 0, agent1: struct<feature_id: int64, role: string, model: string, cost: double, steps: int64, status: string>
                    child 0, feature_id: int64
                    child 1, role: string
                    child 2, model: string
                    child 3, cost: double
                    child 4, steps: int64
                    child 5, status: string
                child 1, agent2: struct<feature_id: int64, role: string, model: string, cost: double, steps: int64, status: string>
                    child 0, feature_id: int64
                    child 1, role: string
                    child 2, model: string
                    child 3, cost: double
                    child 4, steps: int64
                    child 5, status: string
              total_cost: double
              total_steps: int64
              metadata: struct<>
              feature_id: int64
              messages: list<item: struct<role: string, prompt: string>>
                child 0, item: struct<role: string, prompt: string>
                    child 0, role: string
                    child 1, prompt: string
              action: string
              role: string
              agent_id: string
              model: string
              cost: double
              steps: int64
              to
              {'task_name': Value('string'), 'instance_id': Value('string'), 'feature_id': Value('int64'), 'agent_id': Value('string'), 'role': Value('string'), 'model': Value('string'), 'status': Value('string'), 'cost': Value('float64'), 'steps': Value('int64'), 'messages': List({'role': Value('string'), 'prompt': Value('string')}), 'action': Value('string')}
              because column names don't match

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