Datasets:

---

eduardtoni

/

MENSA-visual-iq

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
question_id: int32
question_path: string
question_img: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
difficulty: int32
subset: string
correct_answer_img: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
correct_answer: string
choices_letter: list<item: string>
  child 0, item: string
choices_images: list<item: string>
  child 0, item: string
multiple_answer_img: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
multiple_answer_path: string
explanations: list<item: string>
  child 0, item: string
-- schema metadata --
huggingface: '{"info": {"features": {"question_id": {"dtype": "int32", "_' + 687
to
{'question_id': Value(dtype='int32', id=None), 'question_path': Value(dtype='string', id=None), 'question_image': Image(mode=None, decode=True, id=None), 'difficulty': Value(dtype='int32', id=None), 'subset': Value(dtype='string', id=None), 'correct_answer_image': Image(mode=None, decode=True, id=None), 'correct_answer': Value(dtype='string', id=None), 'choices_letter': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'choices_images': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'multiple_amswer_img': Image(mode=None, decode=True, id=None), 'multiple_answer_path': Value(dtype='string', id=None), 'explanations': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 90, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 197, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 68, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2012, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 268, in __iter__
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 93, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/parquet/parquet.py", line 71, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              question_id: int32
              question_path: string
              question_img: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              difficulty: int32
              subset: string
              correct_answer_img: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              correct_answer: string
              choices_letter: list<item: string>
                child 0, item: string
              choices_images: list<item: string>
                child 0, item: string
              multiple_answer_img: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              multiple_answer_path: string
              explanations: list<item: string>
                child 0, item: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"question_id": {"dtype": "int32", "_' + 687
              to
              {'question_id': Value(dtype='int32', id=None), 'question_path': Value(dtype='string', id=None), 'question_image': Image(mode=None, decode=True, id=None), 'difficulty': Value(dtype='int32', id=None), 'subset': Value(dtype='string', id=None), 'correct_answer_image': Image(mode=None, decode=True, id=None), 'correct_answer': Value(dtype='string', id=None), 'choices_letter': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'choices_images': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None), 'multiple_amswer_img': Image(mode=None, decode=True, id=None), 'multiple_answer_path': Value(dtype='string', id=None), 'explanations': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
              because column names don't match