Datasets:

---

ray0rf1re

/

RSOSTBTEST-pro-results

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
submission_id: string
model: struct<name: string, provider: string, version: null, revision: null, parameters: null, context_leng (... 75 chars omitted)
  child 0, name: string
  child 1, provider: string
  child 2, version: null
  child 3, revision: null
  child 4, parameters: null
  child 5, context_length: null
  child 6, quantization: null
  child 7, adapter: string
  child 8, kind: string
  child 9, pricing: null
benchmark_version: string
dataset_version: string
scoring_version: string
runner_version: string
compat_key: string
timestamp: timestamp[s]
submitted_at: timestamp[s]
hardware: list<item: string>
  child 0, item: string
judge: null
full_run: bool
n_tasks: int64
coverage: double
scores: struct<rsostb_score: double, normalized: double, categories: struct<creative_writing: double, data_s (... 2172 chars omitted)
  child 0, rsostb_score: double
  child 1, normalized: double
  child 2, categories: struct<creative_writing: double, data_scrubbing: double, modeling_3d: double, music_lyrics: double,  (... 863 chars omitted)
      child 0, creative_writing: double
      child 1, data_scrubbing: double
      child 2, modeling_3d: double
      child 3, music_lyrics: double
      child 4, reasoning: double
      child 5, coding_python: double
      child 6, coding_cpp: double
      child 7, coding_custom: double
      child 8, coding_agentic: double
      child 9, coding_web: double
      child 10, coding_assembly: double
      child 11, tool_calling: double
      child 12, 
...
  child 10, coding_test_pass_rate: double
      child 11, coverage: double
gpu: struct<gpu_score: double, quality: double, multiplier: double, scale: double, basis: string, paramet (... 100 chars omitted)
  child 0, gpu_score: double
  child 1, quality: double
  child 2, multiplier: double
  child 3, scale: double
  child 4, basis: string
  child 5, parameters_b: null
  child 6, price_blended_per_mtok: null
  child 7, price_per_b_params: null
  child 8, run_cost: null
  child 9, currency: null
effort: struct<requested: null, level: string, applied: bool, mechanism: null>
  child 0, requested: null
  child 1, level: string
  child 2, applied: bool
  child 3, mechanism: null
hardware_class: string
hardware_class_source: string
efficiency: struct<normalized: double, known: bool, output_tokens_per_second: double, output_tokens_per_task: do (... 40 chars omitted)
  child 0, normalized: double
  child 1, known: bool
  child 2, output_tokens_per_second: double
  child 3, output_tokens_per_task: double
  child 4, tasks_measured: int64
  child 5, note: null
breakdown: struct<base: double, bonus: double, efficiency: double, penalties: double, pre_clamp: double, final: (... 40 chars omitted)
  child 0, base: double
  child 1, bonus: double
  child 2, efficiency: double
  child 3, penalties: double
  child 4, pre_clamp: double
  child 5, final: double
  child 6, clamped: bool
  child 7, quality: double
validation_status: string
validation_notes: list<item: string>
  child 0, item: string
to
{'submission_id': Value('string'), 'model': {'name': Value('string'), 'provider': Value('string'), 'version': Value('null'), 'revision': Value('null'), 'parameters': Value('null'), 'context_length': Value('null'), 'quantization': Value('null'), 'adapter': Value('string'), 'kind': Value('string'), 'pricing': Value('null')}, 'benchmark_version': Value('string'), 'dataset_version': Value('string'), 'scoring_version': Value('string'), 'runner_version': Value('string'), 'compat_key': Value('string'), 'timestamp': Value('timestamp[s]'), 'submitted_at': Value('timestamp[s]'), 'hardware': List(Value('string')), 'judge': Value('null'), 'full_run': Value('bool'), 'n_tasks': Value('int64'), 'coverage': Value('float64'), 'scores': {'rsostb_score': Value('float64'), 'normalized': Value('float64'), 'categories': {'creative_writing': Value('float64'), 'data_scrubbing': Value('float64'), 'modeling_3d': Value('float64'), 'music_lyrics': Value('float64'), 'reasoning': Value('float64'), 'coding_python': Value('float64'), 'coding_cpp': Value('float64'), 'coding_custom': Value('float64'), 'coding_agentic': Value('float64'), 'coding_web': Value('float64'), 'coding_assembly': Value('float64'), 'tool_calling': Value('float64'), 'instruction_following': Value('float64'), 'refusal': Value('float64'), 'math': Value('float64'), 'physics': Value('float64'), 'safety': Value('float64'), 'encryption': Value('float64'), 'biology': Value('float64'), 'mechanical_engineering': Value('float64'), 'legal': Value('
...
'float64'), 'tool-call': Value('float64'), 'unit-test': Value('float64')}, 'statistics': {'task_scores': {'n': Value('int64'), 'mean': Value('float64'), 'median': Value('float64'), 'stdev': Value('float64'), 'min': Value('float64'), 'max': Value('float64'), 'percentiles': {'p5': Value('float64'), 'p10': Value('float64'), 'p25': Value('float64'), 'p50': Value('float64'), 'p75': Value('float64'), 'p90': Value('float64'), 'p95': Value('float64')}}, 'score_histogram': {'edges': List(Value('float64')), 'counts': List(Value('int64'))}, 'completion_rate': Value('float64'), 'invalid_output_rate': Value('float64'), 'hallucination_rate': Value('float64'), 'refusal_rate': Value('float64'), 'over_refusal_rate': Value('float64'), 'under_refusal_rate': Value('float64'), 'safety_matrix': {'correct_refusal': Value('int64'), 'under_refusal': Value('int64'), 'correct_compliance': Value('int64'), 'over_refusal': Value('int64'), 'refuse_items': Value('int64'), 'comply_items': Value('int64')}, 'tool_call_accuracy': Value('float64'), 'coding_test_pass_rate': Value('float64'), 'coverage': Value('float64')}}, 'gpu': {'gpu_score': Value('float64'), 'quality': Value('float64'), 'multiplier': Value('float64'), 'scale': Value('float64'), 'basis': Value('string'), 'parameters_b': Value('null'), 'price_blended_per_mtok': Value('null'), 'price_per_b_params': Value('null'), 'run_cost': Value('null'), 'currency': Value('null')}, 'validation_status': Value('string'), 'validation_notes': List(Value('string'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              submission_id: string
              model: struct<name: string, provider: string, version: null, revision: null, parameters: null, context_leng (... 75 chars omitted)
                child 0, name: string
                child 1, provider: string
                child 2, version: null
                child 3, revision: null
                child 4, parameters: null
                child 5, context_length: null
                child 6, quantization: null
                child 7, adapter: string
                child 8, kind: string
                child 9, pricing: null
              benchmark_version: string
              dataset_version: string
              scoring_version: string
              runner_version: string
              compat_key: string
              timestamp: timestamp[s]
              submitted_at: timestamp[s]
              hardware: list<item: string>
                child 0, item: string
              judge: null
              full_run: bool
              n_tasks: int64
              coverage: double
              scores: struct<rsostb_score: double, normalized: double, categories: struct<creative_writing: double, data_s (... 2172 chars omitted)
                child 0, rsostb_score: double
                child 1, normalized: double
                child 2, categories: struct<creative_writing: double, data_scrubbing: double, modeling_3d: double, music_lyrics: double,  (... 863 chars omitted)
                    child 0, creative_writing: double
                    child 1, data_scrubbing: double
                    child 2, modeling_3d: double
                    child 3, music_lyrics: double
                    child 4, reasoning: double
                    child 5, coding_python: double
                    child 6, coding_cpp: double
                    child 7, coding_custom: double
                    child 8, coding_agentic: double
                    child 9, coding_web: double
                    child 10, coding_assembly: double
                    child 11, tool_calling: double
                    child 12, 
              ...
                child 10, coding_test_pass_rate: double
                    child 11, coverage: double
              gpu: struct<gpu_score: double, quality: double, multiplier: double, scale: double, basis: string, paramet (... 100 chars omitted)
                child 0, gpu_score: double
                child 1, quality: double
                child 2, multiplier: double
                child 3, scale: double
                child 4, basis: string
                child 5, parameters_b: null
                child 6, price_blended_per_mtok: null
                child 7, price_per_b_params: null
                child 8, run_cost: null
                child 9, currency: null
              effort: struct<requested: null, level: string, applied: bool, mechanism: null>
                child 0, requested: null
                child 1, level: string
                child 2, applied: bool
                child 3, mechanism: null
              hardware_class: string
              hardware_class_source: string
              efficiency: struct<normalized: double, known: bool, output_tokens_per_second: double, output_tokens_per_task: do (... 40 chars omitted)
                child 0, normalized: double
                child 1, known: bool
                child 2, output_tokens_per_second: double
                child 3, output_tokens_per_task: double
                child 4, tasks_measured: int64
                child 5, note: null
              breakdown: struct<base: double, bonus: double, efficiency: double, penalties: double, pre_clamp: double, final: (... 40 chars omitted)
                child 0, base: double
                child 1, bonus: double
                child 2, efficiency: double
                child 3, penalties: double
                child 4, pre_clamp: double
                child 5, final: double
                child 6, clamped: bool
                child 7, quality: double
              validation_status: string
              validation_notes: list<item: string>
                child 0, item: string
              to
              {'submission_id': Value('string'), 'model': {'name': Value('string'), 'provider': Value('string'), 'version': Value('null'), 'revision': Value('null'), 'parameters': Value('null'), 'context_length': Value('null'), 'quantization': Value('null'), 'adapter': Value('string'), 'kind': Value('string'), 'pricing': Value('null')}, 'benchmark_version': Value('string'), 'dataset_version': Value('string'), 'scoring_version': Value('string'), 'runner_version': Value('string'), 'compat_key': Value('string'), 'timestamp': Value('timestamp[s]'), 'submitted_at': Value('timestamp[s]'), 'hardware': List(Value('string')), 'judge': Value('null'), 'full_run': Value('bool'), 'n_tasks': Value('int64'), 'coverage': Value('float64'), 'scores': {'rsostb_score': Value('float64'), 'normalized': Value('float64'), 'categories': {'creative_writing': Value('float64'), 'data_scrubbing': Value('float64'), 'modeling_3d': Value('float64'), 'music_lyrics': Value('float64'), 'reasoning': Value('float64'), 'coding_python': Value('float64'), 'coding_cpp': Value('float64'), 'coding_custom': Value('float64'), 'coding_agentic': Value('float64'), 'coding_web': Value('float64'), 'coding_assembly': Value('float64'), 'tool_calling': Value('float64'), 'instruction_following': Value('float64'), 'refusal': Value('float64'), 'math': Value('float64'), 'physics': Value('float64'), 'safety': Value('float64'), 'encryption': Value('float64'), 'biology': Value('float64'), 'mechanical_engineering': Value('float64'), 'legal': Value('
              ...
              'float64'), 'tool-call': Value('float64'), 'unit-test': Value('float64')}, 'statistics': {'task_scores': {'n': Value('int64'), 'mean': Value('float64'), 'median': Value('float64'), 'stdev': Value('float64'), 'min': Value('float64'), 'max': Value('float64'), 'percentiles': {'p5': Value('float64'), 'p10': Value('float64'), 'p25': Value('float64'), 'p50': Value('float64'), 'p75': Value('float64'), 'p90': Value('float64'), 'p95': Value('float64')}}, 'score_histogram': {'edges': List(Value('float64')), 'counts': List(Value('int64'))}, 'completion_rate': Value('float64'), 'invalid_output_rate': Value('float64'), 'hallucination_rate': Value('float64'), 'refusal_rate': Value('float64'), 'over_refusal_rate': Value('float64'), 'under_refusal_rate': Value('float64'), 'safety_matrix': {'correct_refusal': Value('int64'), 'under_refusal': Value('int64'), 'correct_compliance': Value('int64'), 'over_refusal': Value('int64'), 'refuse_items': Value('int64'), 'comply_items': Value('int64')}, 'tool_call_accuracy': Value('float64'), 'coding_test_pass_rate': Value('float64'), 'coverage': Value('float64')}}, 'gpu': {'gpu_score': Value('float64'), 'quality': Value('float64'), 'multiplier': Value('float64'), 'scale': Value('float64'), 'basis': Value('string'), 'parameters_b': Value('null'), 'price_blended_per_mtok': Value('null'), 'price_per_b_params': Value('null'), 'run_cost': Value('null'), 'currency': Value('null')}, 'validation_status': Value('string'), 'validation_notes': List(Value('string'))}
              because column names don't match