Datasets:

---

olukotunjosh

/

ocmr-results-v2

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
decisive: struct<task_success: double, contradiction_rate: double, constraint_violations: double>
  child 0, task_success: double
  child 1, contradiction_rate: double
  child 2, constraint_violations: double
category: struct<knowledge_update_e2e: double>
  child 0, knowledge_update_e2e: double
write_outcomes: struct<candidates: int64, accepted: int64, superseded: int64, quarantined: int64, rejected: int64>
  child 0, candidates: int64
  child 1, accepted: int64
  child 2, superseded: int64
  child 3, quarantined: int64
  child 4, rejected: int64
efficiency: struct<write_ms: double, write_calls: double, query_ms: double, query_calls: double, context_tokens: (... 45 chars omitted)
  child 0, write_ms: double
  child 1, write_calls: double
  child 2, query_ms: double
  child 3, query_calls: double
  child 4, context_tokens: double
  child 5, storage_rows: double
  child 6, seeds: double
false_support_or_answer_rate: double
supporting_response_rate: double
abstention_accuracy: double
counts: struct<abstained: int64, non_abstained: int64, answered: int64, supporting_responses: int64, retriev (... 85 chars omitted)
  child 0, abstained: int64
  child 1, non_abstained: int64
  child 2, answered: int64
  child 3, supporting_responses: int64
  child 4, retrieved_responses: int64
  child 5, conflict_responses: int64
  child 6, missing_information_responses: int64
false_answer_rate: double
to
{'abstention_accuracy': Value('float64'), 'false_answer_rate': Value('float64'), 'false_support_or_answer_rate': Value('float64'), 'supporting_response_rate': Value('float64'), 'counts': {'abstained': Value('int64'), 'non_abstained': Value('int64'), 'answered': Value('int64'), 'supporting_responses': Value('int64'), 'retrieved_responses': Value('int64'), 'conflict_responses': Value('int64'), 'missing_information_responses': Value('int64')}, 'write_outcomes': {'candidates': Value('int64'), 'accepted': Value('int64'), 'superseded': Value('int64'), 'quarantined': Value('int64'), 'rejected': Value('int64')}}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
              decisive: struct<task_success: double, contradiction_rate: double, constraint_violations: double>
                child 0, task_success: double
                child 1, contradiction_rate: double
                child 2, constraint_violations: double
              category: struct<knowledge_update_e2e: double>
                child 0, knowledge_update_e2e: double
              write_outcomes: struct<candidates: int64, accepted: int64, superseded: int64, quarantined: int64, rejected: int64>
                child 0, candidates: int64
                child 1, accepted: int64
                child 2, superseded: int64
                child 3, quarantined: int64
                child 4, rejected: int64
              efficiency: struct<write_ms: double, write_calls: double, query_ms: double, query_calls: double, context_tokens: (... 45 chars omitted)
                child 0, write_ms: double
                child 1, write_calls: double
                child 2, query_ms: double
                child 3, query_calls: double
                child 4, context_tokens: double
                child 5, storage_rows: double
                child 6, seeds: double
              false_support_or_answer_rate: double
              supporting_response_rate: double
              abstention_accuracy: double
              counts: struct<abstained: int64, non_abstained: int64, answered: int64, supporting_responses: int64, retriev (... 85 chars omitted)
                child 0, abstained: int64
                child 1, non_abstained: int64
                child 2, answered: int64
                child 3, supporting_responses: int64
                child 4, retrieved_responses: int64
                child 5, conflict_responses: int64
                child 6, missing_information_responses: int64
              false_answer_rate: double
              to
              {'abstention_accuracy': Value('float64'), 'false_answer_rate': Value('float64'), 'false_support_or_answer_rate': Value('float64'), 'supporting_response_rate': Value('float64'), 'counts': {'abstained': Value('int64'), 'non_abstained': Value('int64'), 'answered': Value('int64'), 'supporting_responses': Value('int64'), 'retrieved_responses': Value('int64'), 'conflict_responses': Value('int64'), 'missing_information_responses': Value('int64')}, 'write_outcomes': {'candidates': Value('int64'), 'accepted': Value('int64'), 'superseded': Value('int64'), 'quarantined': Value('int64'), 'rejected': Value('int64')}}
              because column names don't match