Datasets:

---

gawohok7

/

rtf-benchmark-fixtures

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
audio_duration_sec: double
batch_size: int64
cer: null
cost_per_audio_hour: null
dataset_id: string
dataset_revision: string
decoder: string
dtype: string
environment: string
fixture_repo_id: string
fixture_revision: string
gpu: string
gpu_price_per_hour: null
gpu_utilization_pct: null
image_digest: string
inspection_profile: string
manifest_sha256: string
model_id: string
model_revision: string
peak_vram_bytes: int64
precision: string
processing_duration_sec: double
provider: string
repeat: int64
rtf: double
rtf_scope: string
rtfx: double
run_id: string
schema_version: int64
service_id: string
status: string
audio_sha256: string
audio_path: string
text: string
to
{'audio_duration_sec': Value('float64'), 'audio_path': Value('string'), 'audio_sha256': Value('string'), 'dataset_id': Value('string'), 'dataset_revision': Value('string'), 'text': Value('string')}
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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              audio_duration_sec: double
              batch_size: int64
              cer: null
              cost_per_audio_hour: null
              dataset_id: string
              dataset_revision: string
              decoder: string
              dtype: string
              environment: string
              fixture_repo_id: string
              fixture_revision: string
              gpu: string
              gpu_price_per_hour: null
              gpu_utilization_pct: null
              image_digest: string
              inspection_profile: string
              manifest_sha256: string
              model_id: string
              model_revision: string
              peak_vram_bytes: int64
              precision: string
              processing_duration_sec: double
              provider: string
              repeat: int64
              rtf: double
              rtf_scope: string
              rtfx: double
              run_id: string
              schema_version: int64
              service_id: string
              status: string
              audio_sha256: string
              audio_path: string
              text: string
              to
              {'audio_duration_sec': Value('float64'), 'audio_path': Value('string'), 'audio_sha256': Value('string'), 'dataset_id': Value('string'), 'dataset_revision': Value('string'), 'text': Value('string')}
              because column names don't match