Datasets:

---

adelevett

/

elbench-live-leaderboard

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
completed_ids: list<item: string>
  child 0, item: string
failed_ids: list<item: null>
  child 0, item: null
retry_counts: struct<安全拒答.jsonl::安全拒答_jsonl-7d0e956e51a3ac45: int64, 安全拒答.jsonl::安全拒 (... 226 chars omitted)
  child 0, 安全拒答.jsonl::安全拒答_jsonl-7d0e956e51a3ac45: int64
  child 1, 安全拒答.jsonl::安全拒答_jsonl-390f50dc47e4aac6: int64
  child 2, 安全拒答.jsonl::安全拒答_jsonl-72a3596200064e89: int64
  child 3, 安全拒答.jsonl::安全拒答_jsonl-e36a895b11eb5cd9: int64
  child 4, 安全拒答.jsonl::安全拒答_jsonl-c705ad9d990deb82: int64
runs: list<item: struct<run_id: string, config_hash: string, target_model: string, judge_model: string, us (... 907 chars omitted)
  child 0, item: struct<run_id: string, config_hash: string, target_model: string, judge_model: string, use_system_on (... 895 chars omitted)
      child 0, run_id: string
      child 1, config_hash: string
      child 2, target_model: string
      child 3, judge_model: string
      child 4, use_system_one_judge: bool
      child 5, use_multiturn_chat_model: bool
      child 6, multiturn_model: string
      child 7, modules: list<item: string>
          child 0, item: string
      child 8, source_files: list<item: string>
          child 0, item: string
      child 9, max_samples: int64
      child 10, dimensions: list<item: null>
          child 0, item: null
      child 11, is_full_benchmark: bool
      child 12, status: string
      child 13, resumed: bool
      child 14, total_judged: int64
      child 15, total_failures: int64
      child 16, quota_exhausted: bool
      child 17, interrupted_error: null
      child 18, prompt_usd_per_token: double
      child 19, completion_usd_per_token: double
      child 20, low_usd: double
      child 21, high_usd: double
      child 22, spent_usd: double
      child 23, spent_usd_by_role: struct<target: double, judge: double>
          child 0, target: double
          child 1, judge: double
      child 24, budget_usd: double
      child 25, role_budgets_usd: struct<>
      child 26, stopped_by_budget: bool
      child 27, normalized_scores: struct<overall_pct: double, general_pct: null, safety_pct: double, basic_education_pct: null, high_l (... 141 chars omitted)
          child 0, overall_pct: double
          child 1, general_pct: null
          child 2, safety_pct: double
          child 3, basic_education_pct: null
          child 4, high_level_pct: null
          child 5, per_file: struct<安全拒答.jsonl: struct<count: int64, avg_score: double, pass_rate_pct: double, normalized (... 14 chars omitted)
              child 0, 安全拒答.jsonl: struct<count: int64, avg_score: double, pass_rate_pct: double, normalized_pct: double>
                  child 0, count: int64
                  child 1, avg_score: double
                  child 2, pass_rate_pct: double
                  child 3, normalized_pct: double
      child 28, created_at: timestamp[s]
      child 29, updated_at: timestamp[s]
to
{'runs': List({'run_id': Value('string'), 'config_hash': Value('string'), 'target_model': Value('string'), 'judge_model': Value('string'), 'use_system_one_judge': Value('bool'), 'use_multiturn_chat_model': Value('bool'), 'multiturn_model': Value('string'), 'modules': List(Value('string')), 'source_files': List(Value('string')), 'max_samples': Value('int64'), 'dimensions': List(Value('null')), 'is_full_benchmark': Value('bool'), 'status': Value('string'), 'resumed': Value('bool'), 'total_judged': Value('int64'), 'total_failures': Value('int64'), 'quota_exhausted': Value('bool'), 'interrupted_error': Value('null'), 'prompt_usd_per_token': Value('float64'), 'completion_usd_per_token': Value('float64'), 'low_usd': Value('float64'), 'high_usd': Value('float64'), 'spent_usd': Value('float64'), 'spent_usd_by_role': {'target': Value('float64'), 'judge': Value('float64')}, 'budget_usd': Value('float64'), 'role_budgets_usd': {}, 'stopped_by_budget': Value('bool'), 'normalized_scores': {'overall_pct': Value('float64'), 'general_pct': Value('null'), 'safety_pct': Value('float64'), 'basic_education_pct': Value('null'), 'high_level_pct': Value('null'), 'per_file': {'安全拒答.jsonl': {'count': Value('int64'), 'avg_score': Value('float64'), 'pass_rate_pct': Value('float64'), 'normalized_pct': Value('float64')}}}, 'created_at': Value('timestamp[s]'), 'updated_at': Value('timestamp[s]')})}
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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              completed_ids: list<item: string>
                child 0, item: string
              failed_ids: list<item: null>
                child 0, item: null
              retry_counts: struct<安全拒答.jsonl::安全拒答_jsonl-7d0e956e51a3ac45: int64, 安全拒答.jsonl::安全拒 (... 226 chars omitted)
                child 0, 安全拒答.jsonl::安全拒答_jsonl-7d0e956e51a3ac45: int64
                child 1, 安全拒答.jsonl::安全拒答_jsonl-390f50dc47e4aac6: int64
                child 2, 安全拒答.jsonl::安全拒答_jsonl-72a3596200064e89: int64
                child 3, 安全拒答.jsonl::安全拒答_jsonl-e36a895b11eb5cd9: int64
                child 4, 安全拒答.jsonl::安全拒答_jsonl-c705ad9d990deb82: int64
              runs: list<item: struct<run_id: string, config_hash: string, target_model: string, judge_model: string, us (... 907 chars omitted)
                child 0, item: struct<run_id: string, config_hash: string, target_model: string, judge_model: string, use_system_on (... 895 chars omitted)
                    child 0, run_id: string
                    child 1, config_hash: string
                    child 2, target_model: string
                    child 3, judge_model: string
                    child 4, use_system_one_judge: bool
                    child 5, use_multiturn_chat_model: bool
                    child 6, multiturn_model: string
                    child 7, modules: list<item: string>
                        child 0, item: string
                    child 8, source_files: list<item: string>
                        child 0, item: string
                    child 9, max_samples: int64
                    child 10, dimensions: list<item: null>
                        child 0, item: null
                    child 11, is_full_benchmark: bool
                    child 12, status: string
                    child 13, resumed: bool
                    child 14, total_judged: int64
                    child 15, total_failures: int64
                    child 16, quota_exhausted: bool
                    child 17, interrupted_error: null
                    child 18, prompt_usd_per_token: double
                    child 19, completion_usd_per_token: double
                    child 20, low_usd: double
                    child 21, high_usd: double
                    child 22, spent_usd: double
                    child 23, spent_usd_by_role: struct<target: double, judge: double>
                        child 0, target: double
                        child 1, judge: double
                    child 24, budget_usd: double
                    child 25, role_budgets_usd: struct<>
                    child 26, stopped_by_budget: bool
                    child 27, normalized_scores: struct<overall_pct: double, general_pct: null, safety_pct: double, basic_education_pct: null, high_l (... 141 chars omitted)
                        child 0, overall_pct: double
                        child 1, general_pct: null
                        child 2, safety_pct: double
                        child 3, basic_education_pct: null
                        child 4, high_level_pct: null
                        child 5, per_file: struct<安全拒答.jsonl: struct<count: int64, avg_score: double, pass_rate_pct: double, normalized (... 14 chars omitted)
                            child 0, 安全拒答.jsonl: struct<count: int64, avg_score: double, pass_rate_pct: double, normalized_pct: double>
                                child 0, count: int64
                                child 1, avg_score: double
                                child 2, pass_rate_pct: double
                                child 3, normalized_pct: double
                    child 28, created_at: timestamp[s]
                    child 29, updated_at: timestamp[s]
              to
              {'runs': List({'run_id': Value('string'), 'config_hash': Value('string'), 'target_model': Value('string'), 'judge_model': Value('string'), 'use_system_one_judge': Value('bool'), 'use_multiturn_chat_model': Value('bool'), 'multiturn_model': Value('string'), 'modules': List(Value('string')), 'source_files': List(Value('string')), 'max_samples': Value('int64'), 'dimensions': List(Value('null')), 'is_full_benchmark': Value('bool'), 'status': Value('string'), 'resumed': Value('bool'), 'total_judged': Value('int64'), 'total_failures': Value('int64'), 'quota_exhausted': Value('bool'), 'interrupted_error': Value('null'), 'prompt_usd_per_token': Value('float64'), 'completion_usd_per_token': Value('float64'), 'low_usd': Value('float64'), 'high_usd': Value('float64'), 'spent_usd': Value('float64'), 'spent_usd_by_role': {'target': Value('float64'), 'judge': Value('float64')}, 'budget_usd': Value('float64'), 'role_budgets_usd': {}, 'stopped_by_budget': Value('bool'), 'normalized_scores': {'overall_pct': Value('float64'), 'general_pct': Value('null'), 'safety_pct': Value('float64'), 'basic_education_pct': Value('null'), 'high_level_pct': Value('null'), 'per_file': {'安全拒答.jsonl': {'count': Value('int64'), 'avg_score': Value('float64'), 'pass_rate_pct': Value('float64'), 'normalized_pct': Value('float64')}}}, 'created_at': Value('timestamp[s]'), 'updated_at': Value('timestamp[s]')})}
              because column names don't match