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estrogen

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lfm-rejsample

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Estrogen 22

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
prompt: large_string
context: large_string
chosen_response: large_string
chosen_messages: large_string
chosen_model_id: large_string
chosen_temperature: double
chosen_top_p: double
chosen_min_p: double
rejected_response: large_string
rejected_messages: large_string
rejected_model_id: large_string
rejected_temperature: double
rejected_top_p: double
rejected_min_p: double
judge_model: large_string
judge_reasoning: large_string
judge_raw_winner: large_string
round: int64
tournament_size: int64
tournament_rounds: int64
to
{'prompt': Value('large_string'), 'messages': Value('large_string'), 'model_id': Value('large_string'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'min_p': Value('float64'), 'judge_model': Value('large_string'), 'tournament_size': Value('int64'), 'tournament_rounds': 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/parquet/parquet.py", line 220, in _generate_tables
                  yield Key(file_idx, batch_idx), self._cast_table(pa_table)
                                                  ~~~~~~~~~~~~~~~~^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/parquet/parquet.py", line 156, 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
              prompt: large_string
              context: large_string
              chosen_response: large_string
              chosen_messages: large_string
              chosen_model_id: large_string
              chosen_temperature: double
              chosen_top_p: double
              chosen_min_p: double
              rejected_response: large_string
              rejected_messages: large_string
              rejected_model_id: large_string
              rejected_temperature: double
              rejected_top_p: double
              rejected_min_p: double
              judge_model: large_string
              judge_reasoning: large_string
              judge_raw_winner: large_string
              round: int64
              tournament_size: int64
              tournament_rounds: int64
              to
              {'prompt': Value('large_string'), 'messages': Value('large_string'), 'model_id': Value('large_string'), 'temperature': Value('float64'), 'top_p': Value('float64'), 'min_p': Value('float64'), 'judge_model': Value('large_string'), 'tournament_size': Value('int64'), 'tournament_rounds': Value('int64')}
              because column names don't match