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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
prompt: string
solution: string
full_cot: string
is_correct: bool
eval_results: struct<syntax_valid: bool, test_results: struct<passed: int64, total: int64, test_results: list<item: struct<test_id: int64, input: string, expected: string, actual: string, passed: bool, error: null>>, overall_correct: bool>, error: null>
attempt: int64
vs
chunk_removed: string
prefix_without_chunk: string
chunk_resampled: string
rollout: string
full_cot: string
is_correct: bool
eval_results: struct<error: null, syntax_valid: bool, test_results: struct<overall_correct: bool, passed: int64, test_results: list<item: struct<actual: string, error: null, expected: string, input: string, passed: bool, test_id: int64>>, total: int64>>
error: string
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: 
              prompt: string
              solution: string
              full_cot: string
              is_correct: bool
              eval_results: struct<syntax_valid: bool, test_results: struct<passed: int64, total: int64, test_results: list<item: struct<test_id: int64, input: string, expected: string, actual: string, passed: bool, error: null>>, overall_correct: bool>, error: null>
              attempt: int64
              vs
              chunk_removed: string
              prefix_without_chunk: string
              chunk_resampled: string
              rollout: string
              full_cot: string
              is_correct: bool
              eval_results: struct<error: null, syntax_valid: bool, test_results: struct<overall_correct: bool, passed: int64, test_results: list<item: struct<actual: string, error: null, expected: string, input: string, passed: bool, test_id: int64>>, total: int64>>
              error: string

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