Datasets:

---

aarontseng

/

zc-prepared-full

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
stage: string
next_row: int64
next_batch_idx: int64
total_kept: int64
total_hours: double
slice_rows: int64
batch_idx: int64
archive_bytes: int64
dataset: string
clips: int64
wav_subtype: string
row_end: int64
sample_rate: int64
hours: double
sha256: string
wav_bytes: int64
embedding: string
to
{'stage': Value('string'), 'dataset': Value('string'), 'batch_idx': Value('int64'), 'clips': Value('int64'), 'wav_bytes': Value('int64'), 'hours': Value('float64'), 'row_end': Value('int64'), 'sample_rate': Value('int64'), 'wav_subtype': Value('string'), 'embedding': Value('string'), 'slice_rows': Value('int64'), 'archive_bytes': Value('int64'), 'sha256': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 129, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 544, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 361, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              stage: string
              next_row: int64
              next_batch_idx: int64
              total_kept: int64
              total_hours: double
              slice_rows: int64
              batch_idx: int64
              archive_bytes: int64
              dataset: string
              clips: int64
              wav_subtype: string
              row_end: int64
              sample_rate: int64
              hours: double
              sha256: string
              wav_bytes: int64
              embedding: string
              to
              {'stage': Value('string'), 'dataset': Value('string'), 'batch_idx': Value('int64'), 'clips': Value('int64'), 'wav_bytes': Value('int64'), 'hours': Value('float64'), 'row_end': Value('int64'), 'sample_rate': Value('int64'), 'wav_subtype': Value('string'), 'embedding': Value('string'), 'slice_rows': Value('int64'), 'archive_bytes': Value('int64'), 'sha256': Value('string')}
              because column names don't match