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Center for Humans & Machines 23

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
n_generated: int64
n_valid: int64
n_kept: int64
errors: int64
negatives: list<item: struct<messages: list<item: struct<role: string, content: string>>, target: struct<role:  (... 159 chars omitted)
  child 0, item: struct<messages: list<item: struct<role: string, content: string>>, target: struct<role: string, con (... 147 chars omitted)
      child 0, messages: list<item: struct<role: string, content: string>>
          child 0, item: struct<role: string, content: string>
              child 0, role: string
              child 1, content: string
      child 1, target: struct<role: string, content: string>
          child 0, role: string
          child 1, content: string
      child 2, label_type: string
      child 3, source: string
      child 4, run_id: string
      child 5, src_model: string
      child 6, opening: string
      child 7, judge_verdict: string
      child 8, judge_reason: string
n_attempted: int64
verdicts: struct<unparseable: int64, progressing: int64, looping: int64>
  child 0, unparseable: int64
  child 1, progressing: int64
  child 2, looping: int64
turns_requested: int64
conversations: list<item: struct<opening: string, turns: list<item: string>, verdict: string, reason: string>>
  child 0, item: struct<opening: string, turns: list<item: string>, verdict: string, reason: string>
      child 0, opening: string
      child 1, turns: list<item: string>
          child 0, item: string
      child 2, verdict: string
      child 3, reason: string
model: string
judge: string
to
{'n_attempted': Value('int64'), 'turns_requested': Value('int64'), 'model': Value('string'), 'judge': Value('string'), 'verdicts': {'unparseable': Value('int64'), 'progressing': Value('int64'), 'looping': Value('int64')}, 'conversations': List({'opening': Value('string'), 'turns': List(Value('string')), 'verdict': Value('string'), 'reason': Value('string')})}
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
              n_generated: int64
              n_valid: int64
              n_kept: int64
              errors: int64
              negatives: list<item: struct<messages: list<item: struct<role: string, content: string>>, target: struct<role:  (... 159 chars omitted)
                child 0, item: struct<messages: list<item: struct<role: string, content: string>>, target: struct<role: string, con (... 147 chars omitted)
                    child 0, messages: list<item: struct<role: string, content: string>>
                        child 0, item: struct<role: string, content: string>
                            child 0, role: string
                            child 1, content: string
                    child 1, target: struct<role: string, content: string>
                        child 0, role: string
                        child 1, content: string
                    child 2, label_type: string
                    child 3, source: string
                    child 4, run_id: string
                    child 5, src_model: string
                    child 6, opening: string
                    child 7, judge_verdict: string
                    child 8, judge_reason: string
              n_attempted: int64
              verdicts: struct<unparseable: int64, progressing: int64, looping: int64>
                child 0, unparseable: int64
                child 1, progressing: int64
                child 2, looping: int64
              turns_requested: int64
              conversations: list<item: struct<opening: string, turns: list<item: string>, verdict: string, reason: string>>
                child 0, item: struct<opening: string, turns: list<item: string>, verdict: string, reason: string>
                    child 0, opening: string
                    child 1, turns: list<item: string>
                        child 0, item: string
                    child 2, verdict: string
                    child 3, reason: string
              model: string
              judge: string
              to
              {'n_attempted': Value('int64'), 'turns_requested': Value('int64'), 'model': Value('string'), 'judge': Value('string'), 'verdicts': {'unparseable': Value('int64'), 'progressing': Value('int64'), 'looping': Value('int64')}, 'conversations': List({'opening': Value('string'), 'turns': List(Value('string')), 'verdict': Value('string'), 'reason': Value('string')})}
              because column names don't match