Datasets:

---

digitalhub483

/

spc_data

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
user_id: string
file_url: string
file_size_bytes: int64
format: string
mode: string
width: int64
height: int64
channels: int64
pixel_mean: double
pixel_std: double
pixel_min: int64
pixel_max: int64
upload_datetime: string
uuid: string
dataset_split: string
exif: struct<>
image: string
datetime: null
to
{'user_id': Value('string'), 'image': Image(mode=None, decode=True), 'datetime': Value('string')}
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 "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2543, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2092, in _iter_arrow
                  pa_table = cast_table_to_features(pa_table, self.features)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              user_id: string
              file_url: string
              file_size_bytes: int64
              format: string
              mode: string
              width: int64
              height: int64
              channels: int64
              pixel_mean: double
              pixel_std: double
              pixel_min: int64
              pixel_max: int64
              upload_datetime: string
              uuid: string
              dataset_split: string
              exif: struct<>
              image: string
              datetime: null
              to
              {'user_id': Value('string'), 'image': Image(mode=None, decode=True), 'datetime': Value('string')}
              because column names don't match