Datasets:

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benchflow

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frontierphysics-pr50-evidence

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BenchFlow 14

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
example_id: int64
prompt: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
completion: null
info: struct<task_id: string, task_name: string, rollout_name: string, environment: string, agent: string, (... 125 chars omitted)
  child 0, task_id: string
  child 1, task_name: string
  child 2, rollout_name: string
  child 3, environment: string
  child 4, agent: string
  child 5, agent_name: string
  child 6, model: string
  child 7, source: string
  child 8, rollout_dir: string
  child 9, training_ready: bool
  child 10, training_ready_reason: string
reward: double
error: struct<error: string, error_chain_str: string, error_chain_repr: string>
  child 0, error: string
  child 1, error_chain_str: string
  child 2, error_chain_repr: string
timing: struct<environment_setup: double, total: double>
  child 0, environment_setup: double
  child 1, total: double
is_completed: bool
is_truncated: bool
stop_condition: string
metrics: struct<n_tool_calls: int64, n_prompts: int64>
  child 0, n_tool_calls: int64
  child 1, n_prompts: int64
tool_defs: list<item: null>
  child 0, item: null
token_usage: struct<input_tokens: double, output_tokens: double, final_input_tokens: double, final_output_tokens: (... 30 chars omitted)
  child 0, input_tokens: double
  child 1, output_tokens: double
  child 2, final_input_tokens: double
  child 3, final_output_tokens: double
  child 4, total_tokens: double
score: double
total_tool_calls: double
trajectory: list<item: null>
  child 0, item: null
id: string
schema_version: string
content: list<item: struct<class_: string, content: string, source: string>>
  child 0, item: struct<class_: string, content: string, source: string>
      child 0, class_: string
      child 1, content: string
      child 2, source: string
details: struct<task_id: string, environment: string, model: string>
  child 0, task_id: string
  child 1, environment: string
  child 2, model: string
to
{'schema_version': Value('string'), 'id': Value('string'), 'content': List({'class_': Value('string'), 'content': Value('string'), 'source': Value('string')}), 'details': {'task_id': Value('string'), 'environment': Value('string'), 'model': Value('string')}}
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
              example_id: int64
              prompt: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              completion: null
              info: struct<task_id: string, task_name: string, rollout_name: string, environment: string, agent: string, (... 125 chars omitted)
                child 0, task_id: string
                child 1, task_name: string
                child 2, rollout_name: string
                child 3, environment: string
                child 4, agent: string
                child 5, agent_name: string
                child 6, model: string
                child 7, source: string
                child 8, rollout_dir: string
                child 9, training_ready: bool
                child 10, training_ready_reason: string
              reward: double
              error: struct<error: string, error_chain_str: string, error_chain_repr: string>
                child 0, error: string
                child 1, error_chain_str: string
                child 2, error_chain_repr: string
              timing: struct<environment_setup: double, total: double>
                child 0, environment_setup: double
                child 1, total: double
              is_completed: bool
              is_truncated: bool
              stop_condition: string
              metrics: struct<n_tool_calls: int64, n_prompts: int64>
                child 0, n_tool_calls: int64
                child 1, n_prompts: int64
              tool_defs: list<item: null>
                child 0, item: null
              token_usage: struct<input_tokens: double, output_tokens: double, final_input_tokens: double, final_output_tokens: (... 30 chars omitted)
                child 0, input_tokens: double
                child 1, output_tokens: double
                child 2, final_input_tokens: double
                child 3, final_output_tokens: double
                child 4, total_tokens: double
              score: double
              total_tool_calls: double
              trajectory: list<item: null>
                child 0, item: null
              id: string
              schema_version: string
              content: list<item: struct<class_: string, content: string, source: string>>
                child 0, item: struct<class_: string, content: string, source: string>
                    child 0, class_: string
                    child 1, content: string
                    child 2, source: string
              details: struct<task_id: string, environment: string, model: string>
                child 0, task_id: string
                child 1, environment: string
                child 2, model: string
              to
              {'schema_version': Value('string'), 'id': Value('string'), 'content': List({'class_': Value('string'), 'content': Value('string'), 'source': Value('string')}), 'details': {'task_id': Value('string'), 'environment': Value('string'), 'model': Value('string')}}
              because column names don't match