Datasets:

---

cstr

/

crispasr-kaggle-progress

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
backend: string
display_name: string
notes: string
status: string
transcript: string
wer: double
wall_s: double
inference_s: double
elapsed_s: double
realtime_factor: double
model_size_mb: double
download_s: double
_category: string
_run: string
note: string
results: list<item: struct<backend: string, kind: string, status: string, wer: double, rtf: double, inf_s: do (... 57 chars omitted)
  child 0, item: struct<backend: string, kind: string, status: string, wer: double, rtf: double, inf_s: double, model (... 45 chars omitted)
      child 0, backend: string
      child 1, kind: string
      child 2, status: string
      child 3, wer: double
      child 4, rtf: double
      child 5, inf_s: double
      child 6, model_mb: int64
      child 7, wall_s: double
      child 8, wav_bytes: int64
counts: struct<asr: int64, tts: int64, tts_fail: list<item: string>>
  child 0, asr: int64
  child 1, tts: int64
  child 2, tts_fail: list<item: string>
      child 0, item: string
source: string
run: string
to
{'run': Value('string'), 'source': Value('string'), 'note': Value('string'), 'counts': {'asr': Value('int64'), 'tts': Value('int64'), 'tts_fail': List(Value('string'))}, 'results': List({'backend': Value('string'), 'kind': Value('string'), 'status': Value('string'), 'wer': Value('float64'), 'rtf': Value('float64'), 'inf_s': Value('float64'), 'model_mb': Value('int64'), 'wall_s': Value('float64'), 'wav_bytes': Value('int64')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 478, 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
              backend: string
              display_name: string
              notes: string
              status: string
              transcript: string
              wer: double
              wall_s: double
              inference_s: double
              elapsed_s: double
              realtime_factor: double
              model_size_mb: double
              download_s: double
              _category: string
              _run: string
              note: string
              results: list<item: struct<backend: string, kind: string, status: string, wer: double, rtf: double, inf_s: do (... 57 chars omitted)
                child 0, item: struct<backend: string, kind: string, status: string, wer: double, rtf: double, inf_s: double, model (... 45 chars omitted)
                    child 0, backend: string
                    child 1, kind: string
                    child 2, status: string
                    child 3, wer: double
                    child 4, rtf: double
                    child 5, inf_s: double
                    child 6, model_mb: int64
                    child 7, wall_s: double
                    child 8, wav_bytes: int64
              counts: struct<asr: int64, tts: int64, tts_fail: list<item: string>>
                child 0, asr: int64
                child 1, tts: int64
                child 2, tts_fail: list<item: string>
                    child 0, item: string
              source: string
              run: string
              to
              {'run': Value('string'), 'source': Value('string'), 'note': Value('string'), 'counts': {'asr': Value('int64'), 'tts': Value('int64'), 'tts_fail': List(Value('string'))}, 'results': List({'backend': Value('string'), 'kind': Value('string'), 'status': Value('string'), 'wer': Value('float64'), 'rtf': Value('float64'), 'inf_s': Value('float64'), 'model_mb': Value('int64'), 'wall_s': Value('float64'), 'wav_bytes': Value('int64')})}
              because column names don't match