Datasets:

---

mao1207

/

vqa2

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
info: struct<description: string, url: string, version: string, year: int64, contributor: string, date_created: timestamp[s]>
task_type: string
data_type: string
license: struct<url: string, name: string>
data_subtype: string
questions: list<item: struct<image_id: int64, question: string, question_id: int64>>
vs
info: struct<description: string, url: string, version: string, year: int64, contributor: string, date_created: timestamp[s]>
license: struct<url: string, name: string>
data_subtype: string
annotations: list<item: struct<question_type: string, multiple_choice_answer: string, answers: list<item: struct<answer: string, answer_confidence: string, answer_id: int64>>, image_id: int64, answer_type: string, question_id: int64>>
data_type: string
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 231, 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 3335, 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 2096, 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 2296, 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: 
              info: struct<description: string, url: string, version: string, year: int64, contributor: string, date_created: timestamp[s]>
              task_type: string
              data_type: string
              license: struct<url: string, name: string>
              data_subtype: string
              questions: list<item: struct<image_id: int64, question: string, question_id: int64>>
              vs
              info: struct<description: string, url: string, version: string, year: int64, contributor: string, date_created: timestamp[s]>
              license: struct<url: string, name: string>
              data_subtype: string
              annotations: list<item: struct<question_type: string, multiple_choice_answer: string, answers: list<item: struct<answer: string, answer_confidence: string, answer_id: int64>>, image_id: int64, answer_type: string, question_id: int64>>
              data_type: string