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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema: int64
files: list<item: struct<file: string, bytes: int64, sha256: string>>
  child 0, item: struct<file: string, bytes: int64, sha256: string>
      child 0, file: string
      child 1, bytes: int64
      child 2, sha256: string
archive_bytes: int64
assets: int64
bank_id: string
version: int64
archive_sha256: string
audio_format: string
archive: string
sample_rate: int64
to
{'bank_id': Value('string'), 'version': Value('int64'), 'archive': Value('string'), 'archive_bytes': Value('int64'), 'archive_sha256': Value('string'), 'assets': Value('int64'), 'audio_format': Value('string'), 'sample_rate': Value('int64')}
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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 343, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              schema: int64
              files: list<item: struct<file: string, bytes: int64, sha256: string>>
                child 0, item: struct<file: string, bytes: int64, sha256: string>
                    child 0, file: string
                    child 1, bytes: int64
                    child 2, sha256: string
              archive_bytes: int64
              assets: int64
              bank_id: string
              version: int64
              archive_sha256: string
              audio_format: string
              archive: string
              sample_rate: int64
              to
              {'bank_id': Value('string'), 'version': Value('int64'), 'archive': Value('string'), 'archive_bytes': Value('int64'), 'archive_sha256': Value('string'), 'assets': Value('int64'), 'audio_format': Value('string'), 'sample_rate': Value('int64')}
              because column names don't match

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Onus Essential Sample Bank

An original, brand-neutral production bank generated for the Onus 32-pad kit pipeline. It contains 1,887 FLAC PCM 24-bit assets covering synthesizers, acoustic and world instruments, drums, percussion, production effects, and short vocal syllables.

The archive is designed for one-time installation into a persistent runtime cache. Validate it with the SHA-256 value in VERSION.json, extract it, then use manifest.json and index.json to address individual assets.

No proprietary ROM, commercial preset, or Native Instruments, Korg, Roland, Akai, or MPC sample was copied. Product names are not used as asset sources.

Generated with Stable Audio 3 Medium. Powered by Stability AI.

License

The generated audio assets are released under CC BY 4.0. Stable Audio 3 Medium is licensed separately under the Stability AI Community License. See NOTICE.

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