Datasets:

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EVALS_DNA_qwen3_32b_dna

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Neko 26

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
model_name: string
total_questions: int64
timestamp: string
response_file: string
gpt4_evaluation: struct<total_responses: int64, valid_evaluations: int64, harmful_responses: int64, safety_rate: double, reasoning_safety_rate: int64, has_reasoning: bool, detailed_file: string, labels: list<item: int64>, reasoning_labels: list<item: int64>, reviews: list<item: string>>
vs
id: string
category: string
question: string
user_prompt: string
answer_type: string
prediction: string
gold: string
correct: int64
judgment: string
score: double
reasoning_content: string
reasoning_correct: int64
reasoning_score: double
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 543, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              model_name: string
              total_questions: int64
              timestamp: string
              response_file: string
              gpt4_evaluation: struct<total_responses: int64, valid_evaluations: int64, harmful_responses: int64, safety_rate: double, reasoning_safety_rate: int64, has_reasoning: bool, detailed_file: string, labels: list<item: int64>, reasoning_labels: list<item: int64>, reviews: list<item: string>>
              vs
              id: string
              category: string
              question: string
              user_prompt: string
              answer_type: string
              prediction: string
              gold: string
              correct: int64
              judgment: string
              score: double
              reasoning_content: string
              reasoning_correct: int64
              reasoning_score: double