Datasets:

---

ljvmiranda921

/

gsd-humaneval-annotations

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
comparison_id: string
source_id: string
language: string
seed_prompt: string
pair: string
system_left: string
system_right: string
overall: string
aspects: struct<naturalness: string, cultural_appropriateness: string, helpfulness: string, truthfulness: str (... 26 chars omitted)
  child 0, naturalness: string
  child 1, cultural_appropriateness: string
  child 2, helpfulness: string
  child 3, truthfulness: string
  child 4, harmlessness: string
tie_quality: null
comment: string
winner_system: string
prolific_pid: string
study_id: string
session_id: string
annotated_at: timestamp[s]
duration_ms: int64
instance_feedback: string
to
{'comparison_id': Value('string'), 'source_id': Value('string'), 'language': Value('string'), 'seed_prompt': Value('string'), 'pair': Value('string'), 'system_left': Value('string'), 'system_right': Value('string'), 'overall': Value('string'), 'aspects': {'naturalness': Value('string'), 'cultural_appropriateness': Value('string'), 'helpfulness': Value('string'), 'truthfulness': Value('string'), 'harmlessness': Value('string')}, 'comment': Value('string'), 'instance_feedback': Value('string'), 'winner_system': Value('string'), 'prolific_pid': Value('string'), 'study_id': Value('string'), 'session_id': Value('string'), 'annotated_at': Value('timestamp[s]'), 'duration_ms': Value('int64')}
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 478, 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
              comparison_id: string
              source_id: string
              language: string
              seed_prompt: string
              pair: string
              system_left: string
              system_right: string
              overall: string
              aspects: struct<naturalness: string, cultural_appropriateness: string, helpfulness: string, truthfulness: str (... 26 chars omitted)
                child 0, naturalness: string
                child 1, cultural_appropriateness: string
                child 2, helpfulness: string
                child 3, truthfulness: string
                child 4, harmlessness: string
              tie_quality: null
              comment: string
              winner_system: string
              prolific_pid: string
              study_id: string
              session_id: string
              annotated_at: timestamp[s]
              duration_ms: int64
              instance_feedback: string
              to
              {'comparison_id': Value('string'), 'source_id': Value('string'), 'language': Value('string'), 'seed_prompt': Value('string'), 'pair': Value('string'), 'system_left': Value('string'), 'system_right': Value('string'), 'overall': Value('string'), 'aspects': {'naturalness': Value('string'), 'cultural_appropriateness': Value('string'), 'helpfulness': Value('string'), 'truthfulness': Value('string'), 'harmlessness': Value('string')}, 'comment': Value('string'), 'instance_feedback': Value('string'), 'winner_system': Value('string'), 'prolific_pid': Value('string'), 'study_id': Value('string'), 'session_id': Value('string'), 'annotated_at': Value('timestamp[s]'), 'duration_ms': Value('int64')}
              because column names don't match