Datasets:

---

Panhapich

/

DDD-speech-shard

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
shard_id: string
clips: int64
vq_files: int64
hours: double
proto_bytes: int64
bytes_per_audio_second: double
codec_checkpoint: string
codec_config: string
source_files: list<item: string>
  child 0, item: string
target_lufs: double
trim: string
created: double
rejected: int64
processed_files: list<item: string>
  child 0, item: string
duplicates: int64
shards: list<item: struct<shard_id: string, clips: int64, hours: double, proto_bytes: int64>>
  child 0, item: struct<shard_id: string, clips: int64, hours: double, proto_bytes: int64>
      child 0, shard_id: string
      child 1, clips: int64
      child 2, hours: double
      child 3, proto_bytes: int64
to
{'processed_files': List(Value('string')), 'clips': Value('int64'), 'hours': Value('float64'), 'shards': List({'shard_id': Value('string'), 'clips': Value('int64'), 'hours': Value('float64'), 'proto_bytes': Value('int64')}), 'rejected': Value('int64'), 'duplicates': 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
              shard_id: string
              clips: int64
              vq_files: int64
              hours: double
              proto_bytes: int64
              bytes_per_audio_second: double
              codec_checkpoint: string
              codec_config: string
              source_files: list<item: string>
                child 0, item: string
              target_lufs: double
              trim: string
              created: double
              rejected: int64
              processed_files: list<item: string>
                child 0, item: string
              duplicates: int64
              shards: list<item: struct<shard_id: string, clips: int64, hours: double, proto_bytes: int64>>
                child 0, item: struct<shard_id: string, clips: int64, hours: double, proto_bytes: int64>
                    child 0, shard_id: string
                    child 1, clips: int64
                    child 2, hours: double
                    child 3, proto_bytes: int64
              to
              {'processed_files': List(Value('string')), 'clips': Value('int64'), 'hours': Value('float64'), 'shards': List({'shard_id': Value('string'), 'clips': Value('int64'), 'hours': Value('float64'), 'proto_bytes': Value('int64')}), 'rejected': Value('int64'), 'duplicates': Value('int64')}
              because column names don't match