Datasets:

---

pliny-the-prompter

/

g0dm0d3

like 13

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
type: string
timestamp: int64
session_id: string
mode: string
tier: string
models_queried: int64
models_succeeded: int64
models_refused: int64
early_stop: bool
early_threshold: int64
winner_model: string
winner_score: int64
winner_content_length: int64
winner_duration_ms: int64
total_duration_ms: int64
model_results: list<item: struct<model: string, success: bool, score: int64, duration_ms: int64, content_length: in (... 43 chars omitted)
  child 0, item: struct<model: string, success: bool, score: int64, duration_ms: int64, content_length: int64, is_ref (... 31 chars omitted)
      child 0, model: string
      child 1, success: bool
      child 2, score: int64
      child 3, duration_ms: int64
      child 4, content_length: int64
      child 5, is_refusal: bool
      child 6, error_type: string
pipeline: string
classification: struct<domain: string, subcategory: string, confidence: double, intent: string, flags: list<item: st (... 6 chars omitted)
  child 0, domain: string
  child 1, subcategory: string
  child 2, confidence: double
  child 3, intent: string
  child 4, flags: list<item: string>
      child 0, item: string
persona: string
prompt_length: int64
conversation_depth: int64
has_image: bool
model: string
success: bool
content_length: int64
parseltongue: struct<triggers_found: int64, winner_score: int64>
  child 0, triggers_found: int64
  child 1, winner_score: int64
judge_model: string
no_log: bool
to
{'type': Value('string'), 'timestamp': Value('int64'), 'session_id': Value('string'), 'mode': Value('string'), 'tier': Value('string'), 'models_queried': Value('int64'), 'models_succeeded': Value('int64'), 'models_refused': Value('int64'), 'early_stop': Value('bool'), 'winner_model': Value('null'), 'winner_score': Value('int64'), 'total_duration_ms': Value('int64'), 'model_results': List({'model': Value('string'), 'success': Value('bool'), 'score': Value('int64'), 'duration_ms': Value('int64'), 'content_length': Value('int64'), 'is_refusal': Value('bool'), 'error_type': Value('string')}), 'pipeline': Json(decode=True), 'persona': Value('string'), 'prompt_length': Value('int64'), 'conversation_depth': Value('int64'), 'no_log': Value('bool'), 'has_image': Value('bool'), 'classification': {'domain': Value('string'), 'subcategory': Value('string'), 'confidence': Value('float64'), 'intent': Value('string'), 'flags': List(Value('string'))}, 'model': Value('string'), 'success': Value('bool'), 'content_length': Value('int64'), 'parseltongue': {'triggers_found': Value('int64'), 'winner_score': Value('int64')}}
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
              type: string
              timestamp: int64
              session_id: string
              mode: string
              tier: string
              models_queried: int64
              models_succeeded: int64
              models_refused: int64
              early_stop: bool
              early_threshold: int64
              winner_model: string
              winner_score: int64
              winner_content_length: int64
              winner_duration_ms: int64
              total_duration_ms: int64
              model_results: list<item: struct<model: string, success: bool, score: int64, duration_ms: int64, content_length: in (... 43 chars omitted)
                child 0, item: struct<model: string, success: bool, score: int64, duration_ms: int64, content_length: int64, is_ref (... 31 chars omitted)
                    child 0, model: string
                    child 1, success: bool
                    child 2, score: int64
                    child 3, duration_ms: int64
                    child 4, content_length: int64
                    child 5, is_refusal: bool
                    child 6, error_type: string
              pipeline: string
              classification: struct<domain: string, subcategory: string, confidence: double, intent: string, flags: list<item: st (... 6 chars omitted)
                child 0, domain: string
                child 1, subcategory: string
                child 2, confidence: double
                child 3, intent: string
                child 4, flags: list<item: string>
                    child 0, item: string
              persona: string
              prompt_length: int64
              conversation_depth: int64
              has_image: bool
              model: string
              success: bool
              content_length: int64
              parseltongue: struct<triggers_found: int64, winner_score: int64>
                child 0, triggers_found: int64
                child 1, winner_score: int64
              judge_model: string
              no_log: bool
              to
              {'type': Value('string'), 'timestamp': Value('int64'), 'session_id': Value('string'), 'mode': Value('string'), 'tier': Value('string'), 'models_queried': Value('int64'), 'models_succeeded': Value('int64'), 'models_refused': Value('int64'), 'early_stop': Value('bool'), 'winner_model': Value('null'), 'winner_score': Value('int64'), 'total_duration_ms': Value('int64'), 'model_results': List({'model': Value('string'), 'success': Value('bool'), 'score': Value('int64'), 'duration_ms': Value('int64'), 'content_length': Value('int64'), 'is_refusal': Value('bool'), 'error_type': Value('string')}), 'pipeline': Json(decode=True), 'persona': Value('string'), 'prompt_length': Value('int64'), 'conversation_depth': Value('int64'), 'no_log': Value('bool'), 'has_image': Value('bool'), 'classification': {'domain': Value('string'), 'subcategory': Value('string'), 'confidence': Value('float64'), 'intent': Value('string'), 'flags': List(Value('string'))}, 'model': Value('string'), 'success': Value('bool'), 'content_length': Value('int64'), 'parseltongue': {'triggers_found': Value('int64'), 'winner_score': Value('int64')}}
              because column names don't match