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Cannot extract the features (columns) for the split 'test' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
sites: list<item: string>
task_id: int64
require_login: bool
storage_state: string
start_url: string
geolocation: null
intent_template: string
instantiation_dict: struct<n: int64, year: int64>
intent: string
require_reset: bool
eval: struct<eval_types: list<item: string>, reference_answers: struct<exact_match: string>, reference_url: string, program_html: list<item: null>, string_note: string, reference_answer_raw_annotation: string>
intent_template_id: int64
vs
sites: list<item: string>
task_id: int64
require_login: bool
storage_state: string
start_url: string
geolocation: null
intent_template: string
instantiation_dict: struct<n: int64, period: string>
intent: string
require_reset: bool
eval: struct<eval_types: list<item: string>, reference_answers: struct<exact_match: string>, reference_url: string, program_html: list<item: null>, string_note: string, reference_answer_raw_annotation: string>
intent_template_id: int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 246, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3496, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 531, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              sites: list<item: string>
              task_id: int64
              require_login: bool
              storage_state: string
              start_url: string
              geolocation: null
              intent_template: string
              instantiation_dict: struct<n: int64, year: int64>
              intent: string
              require_reset: bool
              eval: struct<eval_types: list<item: string>, reference_answers: struct<exact_match: string>, reference_url: string, program_html: list<item: null>, string_note: string, reference_answer_raw_annotation: string>
              intent_template_id: int64
              vs
              sites: list<item: string>
              task_id: int64
              require_login: bool
              storage_state: string
              start_url: string
              geolocation: null
              intent_template: string
              instantiation_dict: struct<n: int64, period: string>
              intent: string
              require_reset: bool
              eval: struct<eval_types: list<item: string>, reference_answers: struct<exact_match: string>, reference_url: string, program_html: list<item: null>, string_note: string, reference_answer_raw_annotation: string>
              intent_template_id: int64

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