Datasets:

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benchflow

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frontierphysics-pr161-evidence

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BenchFlow 14

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
round: int64
rewards: struct<reward: double>
  child 0, reward: double
verifier_error: null
feedback_level: string
wall_sec: double
tokens: int64
total_trajectory_steps: int64
verifier_time_sec: double
agent_idle_timeout_sec: null
total_skill_invocations: int64
score_excl_errors: string
avg_skill_invocations: double
total_cost_usd: double
max_agent_execution_time_sec: double
loop: struct<strategy: string, params: struct<k: int64>>
  child 0, strategy: string
  child 1, params: struct<k: int64>
      child 0, k: int64
verifier_errored: int64
avg_verifier_time_sec: double
verifier_error_categories: null
avg_cost_per_trial_usd: double
failed: int64
environment_setup_time_sec: double
avg_agent_execution_time_sec: double
telemetry_coverage: double
max_trajectory_steps_per_task: int64
score_ratio: double
total_trajectory_tool_call_steps: int64
total_cache_read_tokens: int64
max_agent_setup_time_sec: double
elapsed_sec: double
max_trajectory_tool_call_steps_per_task: int64
error: int64
score: string
total_time_sec: double
fail: int64
total_cache_creation_tokens: int64
environment: string
total_input_tokens: int64
errored: int64
memory_score: null
pass: int64
avg_tool_calls_per_task: double
agent_execution_time_sec: double
total: int64
model: string
passed: int64
usage_tracking: struct<requested: string>
  child 0, requested: string
agent: string
total_tokens: int64
total_output_tokens: int64
job_name: string
memory_score_coverage: double
trajectory_summary_coverage: double
timing_coverage: double
avg_trajectory_tool_call_steps_per_task: double
max_total_time_sec: double
avg_agent_setup_time_sec: double
max_tool_calls_per_task: int64
score_excl_errors_ratio: double
agent_setup_time_sec: double
total_tool_calls: int64
avg_environment_setup_time_sec: double
avg_total_time_sec: double
idle_timeout: int64
error_categories: null
memory: struct<scored: int64, avg_score: null, score: null>
  child 0, scored: int64
  child 1, avg_score: null
  child 2, score: null
concurrency: int64
memory_scores: struct<>
max_environment_setup_time_sec: double
avg_trajectory_steps_per_task: double
max_verifier_time_sec: double
to
{'job_name': Value('string'), 'agent': Value('string'), 'model': Value('string'), 'environment': Value('string'), 'concurrency': Value('int64'), 'agent_idle_timeout_sec': Value('null'), 'usage_tracking': {'requested': Value('string')}, 'loop': {'strategy': Value('string'), 'params': {'k': Value('int64')}}, 'total': Value('int64'), 'passed': Value('int64'), 'failed': Value('int64'), 'errored': Value('int64'), 'pass': Value('int64'), 'fail': Value('int64'), 'error': Value('int64'), 'verifier_errored': Value('int64'), 'idle_timeout': Value('int64'), 'error_categories': Value('null'), 'verifier_error_categories': Value('null'), 'score': Value('string'), 'score_ratio': Value('float64'), 'score_excl_errors': Value('string'), 'score_excl_errors_ratio': Value('float64'), 'elapsed_sec': Value('float64'), 'memory_score': Value('null'), 'memory_score_coverage': Value('float64'), 'memory': {'scored': Value('int64'), 'avg_score': Value('null'), 'score': Value('null')}, 'memory_scores': {}, 'total_skill_invocations': Value('int64'), 'avg_skill_invocations': Value('float64'), 'total_input_tokens': Value('int64'), 'total_output_tokens': Value('int64'), 'total_cache_read_tokens': Value('int64'), 'total_cache_creation_tokens': Value('int64'), 'total_tokens': Value('int64'), 'total_cost_usd': Value('float64'), 'avg_cost_per_trial_usd': Value('float64'), 'telemetry_coverage': Value('float64'), 'total_tool_calls': Value('int64'), 'avg_tool_calls_per_task': Value('float64'), 'max_tool_calls_per_task': Value('int64'), 'total_trajectory_steps': Value('int64'), 'avg_trajectory_steps_per_task': Value('float64'), 'max_trajectory_steps_per_task': Value('int64'), 'total_trajectory_tool_call_steps': Value('int64'), 'avg_trajectory_tool_call_steps_per_task': Value('float64'), 'max_trajectory_tool_call_steps_per_task': Value('int64'), 'trajectory_summary_coverage': Value('float64'), 'timing_coverage': Value('float64'), 'environment_setup_time_sec': Value('float64'), 'avg_environment_setup_time_sec': Value('float64'), 'max_environment_setup_time_sec': Value('float64'), 'agent_setup_time_sec': Value('float64'), 'avg_agent_setup_time_sec': Value('float64'), 'max_agent_setup_time_sec': Value('float64'), 'agent_execution_time_sec': Value('float64'), 'avg_agent_execution_time_sec': Value('float64'), 'max_agent_execution_time_sec': Value('float64'), 'verifier_time_sec': Value('float64'), 'avg_verifier_time_sec': Value('float64'), 'max_verifier_time_sec': Value('float64'), 'total_time_sec': Value('float64'), 'avg_total_time_sec': Value('float64'), 'max_total_time_sec': Value('float64')}
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
              round: int64
              rewards: struct<reward: double>
                child 0, reward: double
              verifier_error: null
              feedback_level: string
              wall_sec: double
              tokens: int64
              total_trajectory_steps: int64
              verifier_time_sec: double
              agent_idle_timeout_sec: null
              total_skill_invocations: int64
              score_excl_errors: string
              avg_skill_invocations: double
              total_cost_usd: double
              max_agent_execution_time_sec: double
              loop: struct<strategy: string, params: struct<k: int64>>
                child 0, strategy: string
                child 1, params: struct<k: int64>
                    child 0, k: int64
              verifier_errored: int64
              avg_verifier_time_sec: double
              verifier_error_categories: null
              avg_cost_per_trial_usd: double
              failed: int64
              environment_setup_time_sec: double
              avg_agent_execution_time_sec: double
              telemetry_coverage: double
              max_trajectory_steps_per_task: int64
              score_ratio: double
              total_trajectory_tool_call_steps: int64
              total_cache_read_tokens: int64
              max_agent_setup_time_sec: double
              elapsed_sec: double
              max_trajectory_tool_call_steps_per_task: int64
              error: int64
              score: string
              total_time_sec: double
              fail: int64
              total_cache_creation_tokens: int64
              environment: string
              total_input_tokens: int64
              errored: int64
              memory_score: null
              pass: int64
              avg_tool_calls_per_task: double
              agent_execution_time_sec: double
              total: int64
              model: string
              passed: int64
              usage_tracking: struct<requested: string>
                child 0, requested: string
              agent: string
              total_tokens: int64
              total_output_tokens: int64
              job_name: string
              memory_score_coverage: double
              trajectory_summary_coverage: double
              timing_coverage: double
              avg_trajectory_tool_call_steps_per_task: double
              max_total_time_sec: double
              avg_agent_setup_time_sec: double
              max_tool_calls_per_task: int64
              score_excl_errors_ratio: double
              agent_setup_time_sec: double
              total_tool_calls: int64
              avg_environment_setup_time_sec: double
              avg_total_time_sec: double
              idle_timeout: int64
              error_categories: null
              memory: struct<scored: int64, avg_score: null, score: null>
                child 0, scored: int64
                child 1, avg_score: null
                child 2, score: null
              concurrency: int64
              memory_scores: struct<>
              max_environment_setup_time_sec: double
              avg_trajectory_steps_per_task: double
              max_verifier_time_sec: double
              to
              {'job_name': Value('string'), 'agent': Value('string'), 'model': Value('string'), 'environment': Value('string'), 'concurrency': Value('int64'), 'agent_idle_timeout_sec': Value('null'), 'usage_tracking': {'requested': Value('string')}, 'loop': {'strategy': Value('string'), 'params': {'k': Value('int64')}}, 'total': Value('int64'), 'passed': Value('int64'), 'failed': Value('int64'), 'errored': Value('int64'), 'pass': Value('int64'), 'fail': Value('int64'), 'error': Value('int64'), 'verifier_errored': Value('int64'), 'idle_timeout': Value('int64'), 'error_categories': Value('null'), 'verifier_error_categories': Value('null'), 'score': Value('string'), 'score_ratio': Value('float64'), 'score_excl_errors': Value('string'), 'score_excl_errors_ratio': Value('float64'), 'elapsed_sec': Value('float64'), 'memory_score': Value('null'), 'memory_score_coverage': Value('float64'), 'memory': {'scored': Value('int64'), 'avg_score': Value('null'), 'score': Value('null')}, 'memory_scores': {}, 'total_skill_invocations': Value('int64'), 'avg_skill_invocations': Value('float64'), 'total_input_tokens': Value('int64'), 'total_output_tokens': Value('int64'), 'total_cache_read_tokens': Value('int64'), 'total_cache_creation_tokens': Value('int64'), 'total_tokens': Value('int64'), 'total_cost_usd': Value('float64'), 'avg_cost_per_trial_usd': Value('float64'), 'telemetry_coverage': Value('float64'), 'total_tool_calls': Value('int64'), 'avg_tool_calls_per_task': Value('float64'), 'max_tool_calls_per_task': Value('int64'), 'total_trajectory_steps': Value('int64'), 'avg_trajectory_steps_per_task': Value('float64'), 'max_trajectory_steps_per_task': Value('int64'), 'total_trajectory_tool_call_steps': Value('int64'), 'avg_trajectory_tool_call_steps_per_task': Value('float64'), 'max_trajectory_tool_call_steps_per_task': Value('int64'), 'trajectory_summary_coverage': Value('float64'), 'timing_coverage': Value('float64'), 'environment_setup_time_sec': Value('float64'), 'avg_environment_setup_time_sec': Value('float64'), 'max_environment_setup_time_sec': Value('float64'), 'agent_setup_time_sec': Value('float64'), 'avg_agent_setup_time_sec': Value('float64'), 'max_agent_setup_time_sec': Value('float64'), 'agent_execution_time_sec': Value('float64'), 'avg_agent_execution_time_sec': Value('float64'), 'max_agent_execution_time_sec': Value('float64'), 'verifier_time_sec': Value('float64'), 'avg_verifier_time_sec': Value('float64'), 'max_verifier_time_sec': Value('float64'), 'total_time_sec': Value('float64'), 'avg_total_time_sec': Value('float64'), 'max_total_time_sec': Value('float64')}
              because column names don't match