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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: 
question_id: int64
audio_file: string
user_data: struct<age: string, gender: string, education: string>
selections: struct<语义和语用特征: struct<sub_dims: list<item: string>, choice: string>, 非生理性副语言特征: struct<sub_dims: list<item: string>, choice: string>, 生理性副语言特征: struct<sub_dims: list<item: string>, choice: string>, 机械人格: struct<sub_dims: list<item: string>, choice: string>, 情感表达: struct<sub_dims: list<item: string>, choice: string>>
vs
user_data: struct<age: string, gender: string, education: string>
all_results: list<item: struct<question_id: int64, audio_file: string, user_data: struct<age: string, gender: string, education: string>, selections: struct<语义和语用特征: struct<sub_dims: list<item: string>, choice: string>, 非生理性副语言特征: struct<sub_dims: list<item: string>, choice: string>, 生理性副语言特征: struct<sub_dims: list<item: string>, choice: string>, 机械人格: struct<sub_dims: list<item: string>, choice: string>, 情感表达: struct<sub_dims: list<item: string>, choice: 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 3357, 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 2111, 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 2315, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, 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 1878, 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 536, 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: 
              question_id: int64
              audio_file: string
              user_data: struct<age: string, gender: string, education: string>
              selections: struct<语义和语用特征: struct<sub_dims: list<item: string>, choice: string>, 非生理性副语言特征: struct<sub_dims: list<item: string>, choice: string>, 生理性副语言特征: struct<sub_dims: list<item: string>, choice: string>, 机械人格: struct<sub_dims: list<item: string>, choice: string>, 情感表达: struct<sub_dims: list<item: string>, choice: string>>
              vs
              user_data: struct<age: string, gender: string, education: string>
              all_results: list<item: struct<question_id: int64, audio_file: string, user_data: struct<age: string, gender: string, education: string>, selections: struct<语义和语用特征: struct<sub_dims: list<item: string>, choice: string>, 非生理性副语言特征: struct<sub_dims: list<item: string>, choice: string>, 生理性副语言特征: struct<sub_dims: list<item: string>, choice: string>, 机械人格: struct<sub_dims: list<item: string>, choice: string>, 情感表达: struct<sub_dims: list<item: string>, choice: string>>>>

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