Datasets:

---

fracapuano

/

brainformer-dummy

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
participant: string
fif_file: string
id: string
eeg: list<item: list<item: float>>
  child 0, item: list<item: float>
      child 0, item: float
meg: list<item: list<item: float>>
  child 0, item: list<item: float>
      child 0, item: float
event_id: int64
event_number: int64
eeg_bounds: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
meg_bounds: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
-- schema metadata --
huggingface: '{"info": {"features": {"participant": {"dtype": "string", "' + 693
to
{'participant': Value(dtype='string', id=None), 'fif_file': Value(dtype='string', id=None), 'id': Value(dtype='string', id=None), 'eeg': Sequence(feature=Sequence(feature=Value(dtype='float32', id=None), length=-1, id=None), length=-1, id=None), 'meg': Sequence(feature=Sequence(feature=Value(dtype='float32', id=None), length=-1, id=None), length=-1, id=None), 'eeg_events': Value(dtype='int64', id=None), 'meg_events': Value(dtype='int64', id=None), 'chunk_index': Value(dtype='int64', id=None), 'eeg_bounds': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'meg_bounds': Sequence(feature=Value(dtype='float64', 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 99, in get_rows_or_raise
                  return get_rows(
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 77, 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 2270, in __iter__
                  for key, example in ex_iterable:
                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 1879, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
                  for key, pa_table in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 76, 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/arrow/arrow.py", line 59, 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 2293, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              participant: string
              fif_file: string
              id: string
              eeg: list<item: list<item: float>>
                child 0, item: list<item: float>
                    child 0, item: float
              meg: list<item: list<item: float>>
                child 0, item: list<item: float>
                    child 0, item: float
              event_id: int64
              event_number: int64
              eeg_bounds: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              meg_bounds: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              -- schema metadata --
              huggingface: '{"info": {"features": {"participant": {"dtype": "string", "' + 693
              to
              {'participant': Value(dtype='string', id=None), 'fif_file': Value(dtype='string', id=None), 'id': Value(dtype='string', id=None), 'eeg': Sequence(feature=Sequence(feature=Value(dtype='float32', id=None), length=-1, id=None), length=-1, id=None), 'meg': Sequence(feature=Sequence(feature=Value(dtype='float32', id=None), length=-1, id=None), length=-1, id=None), 'eeg_events': Value(dtype='int64', id=None), 'meg_events': Value(dtype='int64', id=None), 'chunk_index': Value(dtype='int64', id=None), 'eeg_bounds': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None), 'meg_bounds': Sequence(feature=Value(dtype='float64', id=None), length=-1, id=None)}
              because column names don't match