Datasets:

---

benchflow

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frontierphysics-pr220-evidence

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BenchFlow 14

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
job_name: string
agent: string
model: string
environment: string
concurrency: int64
agent_idle_timeout_sec: null
usage_tracking: struct<requested: string>
  child 0, requested: string
loop: struct<strategy: string>
  child 0, strategy: string
total: int64
passed: int64
failed: int64
errored: int64
pass: int64
fail: int64
error: int64
verifier_errored: int64
idle_timeout: int64
error_categories: null
verifier_error_categories: null
score: string
score_ratio: double
score_excl_errors: string
score_excl_errors_ratio: double
elapsed_sec: double
memory_score: null
memory_score_coverage: double
memory: struct<scored: int64, avg_score: null, score: null>
  child 0, scored: int64
  child 1, avg_score: null
  child 2, score: null
memory_scores: struct<>
total_skill_invocations: int64
avg_skill_invocations: double
total_input_tokens: int64
total_output_tokens: int64
total_cache_read_tokens: int64
total_cache_creation_tokens: int64
total_tokens: int64
total_cost_usd: double
avg_cost_per_trial_usd: double
telemetry_coverage: double
total_tool_calls: int64
avg_tool_calls_per_task: double
max_tool_calls_per_task: int64
total_trajectory_steps: int64
avg_trajectory_steps_per_task: double
max_trajectory_steps_per_task: int64
total_trajectory_tool_call_steps: int64
avg_trajectory_tool_call_steps_per_task: double
max_trajectory_tool_call_steps_per_task: int64
trajectory_summary_coverage: double
timing_coverage: double
environment_setup_time_sec: double
avg_environment_setup_time_sec: double
max
...
tool_call_steps: int64, user_message_steps: int64, agent_message_steps: int64,  (... 254 chars omitted)
  child 0, steps: int64
  child 1, tool_call_steps: int64
  child 2, user_message_steps: int64
  child 3, agent_message_steps: int64
  child 4, agent_thought_steps: int64
  child 5, other_steps: int64
  child 6, event_type_counts: struct<user_message: int64, tool_call: int64, agent_message: int64>
      child 0, user_message: int64
      child 1, tool_call: int64
      child 2, agent_message: int64
  child 7, tool_call_status_counts: struct<completed: int64, failed: int64>
      child 0, completed: int64
      child 1, failed: int64
  child 8, partial_trajectory: bool
  child 9, trajectory_source: string
skill_source: string
suspected_api_error_info: null
idle_timeout_info: null
timing: struct<environment_setup: double, agent_setup: double, agent_execution: double, verifier: double, to (... 12 chars omitted)
  child 0, environment_setup: double
  child 1, agent_setup: double
  child 2, agent_execution: double
  child 3, verifier: double
  child 4, total: double
partial_trajectory: bool
verifier_error_category: null
agent_timeout_info: null
trajectory_source: string
skill_mode: string
skills_sandbox_dir: null
error_category: null
verifier_error: null
rewards: struct<reward: double>
  child 0, reward: double
sandbox_id: string
started_at: string
task_name: string
rollout_name: string
task_digest: string
finished_at: string
n_skill_invocations: int64
effective_skills_dir: null
to
{'task_name': Value('string'), 'rollout_name': Value('string'), 'rewards': {'reward': Value('float64')}, 'agent': Value('string'), 'agent_name': Value('string'), 'model': Value('string'), 'skill_mode': Value('string'), 'skill_source': Value('string'), 'requested_skills_dir': Value('null'), 'effective_skills_dir': Value('null'), 'skills_sandbox_dir': Value('null'), 'include_task_skills': Value('bool'), 'n_tool_calls': Value('int64'), 'n_skill_invocations': Value('int64'), 'n_prompts': Value('int64'), 'agent_result': {'n_tool_calls': Value('int64'), 'n_skill_invocations': Value('int64'), 'n_prompts': Value('int64'), 'n_input_tokens': Value('int64'), 'n_output_tokens': Value('int64'), 'n_cache_read_tokens': Value('int64'), 'n_cache_creation_tokens': Value('int64'), 'total_tokens': Value('int64'), 'cost_usd': Value('float64'), 'usage_source': Value('string'), 'price_source': Value('string')}, 'final_metrics': {'total_prompt_tokens': Value('int64'), 'total_completion_tokens': Value('int64'), 'total_cached_tokens': Value('int64'), 'total_cost_usd': Value('float64')}, 'trajectory_summary': {'steps': Value('int64'), 'tool_call_steps': Value('int64'), 'user_message_steps': Value('int64'), 'agent_message_steps': Value('int64'), 'agent_thought_steps': Value('int64'), 'other_steps': Value('int64'), 'event_type_counts': {'user_message': Value('int64'), 'tool_call': Value('int64'), 'agent_message': Value('int64')}, 'tool_call_status_counts': {'completed': Value('int64'), 'failed': Value('i
...
shed_at': Value('string'), 'timing': {'environment_setup': Value('float64'), 'agent_setup': Value('float64'), 'agent_execution': Value('float64'), 'verifier': Value('float64'), 'total': Value('float64')}, 'scenes': List({'name': Value('string'), 'skills_dir': Value('null'), 'roles': List({'name': Value('string'), 'agent': Value('string'), 'model': Value('string'), 'reasoning_effort': Value('null'), 'timeout_sec': Value('null'), 'idle_timeout_sec': Value('null'), 'skills_dir': Value('null'), 'capabilities': Value('null'), 'env_keys': List(Value('null'))}), 'turns': List({'role': Value('string'), 'has_prompt': Value('bool')})}), 'loop': {'strategy': Value('string')}, 'source': {'type': Value('string'), 'repo': Value('string'), 'requested_ref': Value('string'), 'resolved_sha': Value('string'), 'path': Value('string'), 'dirty': Value('bool'), 'file_hashes': {'environment/Dockerfile': Value('string'), 'environment/network_lock.sh': Value('string'), 'environment/provenance.json': Value('string'), 'environment/qnm_config.json': Value('string'), 'environment/skills/kerr-qnm-continuation/SKILL.md': Value('string'), 'environment/skills/kerr-qnm-continuation/references/equations.md': Value('string'), 'environment/skills/kerr-qnm-continuation/scripts/kerr_qnm.py': Value('string'), 'oracle/solve.sh': Value('string'), 'task.md': Value('string'), 'verifier/test.sh': Value('string'), 'verifier/test_outputs.py': Value('string')}}, 'task_digest': Value('string'), 'sandbox_id': 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
              job_name: string
              agent: string
              model: string
              environment: string
              concurrency: int64
              agent_idle_timeout_sec: null
              usage_tracking: struct<requested: string>
                child 0, requested: string
              loop: struct<strategy: string>
                child 0, strategy: string
              total: int64
              passed: int64
              failed: int64
              errored: int64
              pass: int64
              fail: int64
              error: int64
              verifier_errored: int64
              idle_timeout: int64
              error_categories: null
              verifier_error_categories: null
              score: string
              score_ratio: double
              score_excl_errors: string
              score_excl_errors_ratio: double
              elapsed_sec: double
              memory_score: null
              memory_score_coverage: double
              memory: struct<scored: int64, avg_score: null, score: null>
                child 0, scored: int64
                child 1, avg_score: null
                child 2, score: null
              memory_scores: struct<>
              total_skill_invocations: int64
              avg_skill_invocations: double
              total_input_tokens: int64
              total_output_tokens: int64
              total_cache_read_tokens: int64
              total_cache_creation_tokens: int64
              total_tokens: int64
              total_cost_usd: double
              avg_cost_per_trial_usd: double
              telemetry_coverage: double
              total_tool_calls: int64
              avg_tool_calls_per_task: double
              max_tool_calls_per_task: int64
              total_trajectory_steps: int64
              avg_trajectory_steps_per_task: double
              max_trajectory_steps_per_task: int64
              total_trajectory_tool_call_steps: int64
              avg_trajectory_tool_call_steps_per_task: double
              max_trajectory_tool_call_steps_per_task: int64
              trajectory_summary_coverage: double
              timing_coverage: double
              environment_setup_time_sec: double
              avg_environment_setup_time_sec: double
              max
              ...
              tool_call_steps: int64, user_message_steps: int64, agent_message_steps: int64,  (... 254 chars omitted)
                child 0, steps: int64
                child 1, tool_call_steps: int64
                child 2, user_message_steps: int64
                child 3, agent_message_steps: int64
                child 4, agent_thought_steps: int64
                child 5, other_steps: int64
                child 6, event_type_counts: struct<user_message: int64, tool_call: int64, agent_message: int64>
                    child 0, user_message: int64
                    child 1, tool_call: int64
                    child 2, agent_message: int64
                child 7, tool_call_status_counts: struct<completed: int64, failed: int64>
                    child 0, completed: int64
                    child 1, failed: int64
                child 8, partial_trajectory: bool
                child 9, trajectory_source: string
              skill_source: string
              suspected_api_error_info: null
              idle_timeout_info: null
              timing: struct<environment_setup: double, agent_setup: double, agent_execution: double, verifier: double, to (... 12 chars omitted)
                child 0, environment_setup: double
                child 1, agent_setup: double
                child 2, agent_execution: double
                child 3, verifier: double
                child 4, total: double
              partial_trajectory: bool
              verifier_error_category: null
              agent_timeout_info: null
              trajectory_source: string
              skill_mode: string
              skills_sandbox_dir: null
              error_category: null
              verifier_error: null
              rewards: struct<reward: double>
                child 0, reward: double
              sandbox_id: string
              started_at: string
              task_name: string
              rollout_name: string
              task_digest: string
              finished_at: string
              n_skill_invocations: int64
              effective_skills_dir: null
              to
              {'task_name': Value('string'), 'rollout_name': Value('string'), 'rewards': {'reward': Value('float64')}, 'agent': Value('string'), 'agent_name': Value('string'), 'model': Value('string'), 'skill_mode': Value('string'), 'skill_source': Value('string'), 'requested_skills_dir': Value('null'), 'effective_skills_dir': Value('null'), 'skills_sandbox_dir': Value('null'), 'include_task_skills': Value('bool'), 'n_tool_calls': Value('int64'), 'n_skill_invocations': Value('int64'), 'n_prompts': Value('int64'), 'agent_result': {'n_tool_calls': Value('int64'), 'n_skill_invocations': Value('int64'), 'n_prompts': Value('int64'), 'n_input_tokens': Value('int64'), 'n_output_tokens': Value('int64'), 'n_cache_read_tokens': Value('int64'), 'n_cache_creation_tokens': Value('int64'), 'total_tokens': Value('int64'), 'cost_usd': Value('float64'), 'usage_source': Value('string'), 'price_source': Value('string')}, 'final_metrics': {'total_prompt_tokens': Value('int64'), 'total_completion_tokens': Value('int64'), 'total_cached_tokens': Value('int64'), 'total_cost_usd': Value('float64')}, 'trajectory_summary': {'steps': Value('int64'), 'tool_call_steps': Value('int64'), 'user_message_steps': Value('int64'), 'agent_message_steps': Value('int64'), 'agent_thought_steps': Value('int64'), 'other_steps': Value('int64'), 'event_type_counts': {'user_message': Value('int64'), 'tool_call': Value('int64'), 'agent_message': Value('int64')}, 'tool_call_status_counts': {'completed': Value('int64'), 'failed': Value('i
              ...
              shed_at': Value('string'), 'timing': {'environment_setup': Value('float64'), 'agent_setup': Value('float64'), 'agent_execution': Value('float64'), 'verifier': Value('float64'), 'total': Value('float64')}, 'scenes': List({'name': Value('string'), 'skills_dir': Value('null'), 'roles': List({'name': Value('string'), 'agent': Value('string'), 'model': Value('string'), 'reasoning_effort': Value('null'), 'timeout_sec': Value('null'), 'idle_timeout_sec': Value('null'), 'skills_dir': Value('null'), 'capabilities': Value('null'), 'env_keys': List(Value('null'))}), 'turns': List({'role': Value('string'), 'has_prompt': Value('bool')})}), 'loop': {'strategy': Value('string')}, 'source': {'type': Value('string'), 'repo': Value('string'), 'requested_ref': Value('string'), 'resolved_sha': Value('string'), 'path': Value('string'), 'dirty': Value('bool'), 'file_hashes': {'environment/Dockerfile': Value('string'), 'environment/network_lock.sh': Value('string'), 'environment/provenance.json': Value('string'), 'environment/qnm_config.json': Value('string'), 'environment/skills/kerr-qnm-continuation/SKILL.md': Value('string'), 'environment/skills/kerr-qnm-continuation/references/equations.md': Value('string'), 'environment/skills/kerr-qnm-continuation/scripts/kerr_qnm.py': Value('string'), 'oracle/solve.sh': Value('string'), 'task.md': Value('string'), 'verifier/test.sh': Value('string'), 'verifier/test_outputs.py': Value('string')}}, 'task_digest': Value('string'), 'sandbox_id': Value('string')}
              because column names don't match