Datasets:

EricPeter

/

test_dataset

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
audio: struct<bytes: binary, path: string>
  child 0, bytes: binary
  child 1, path: string
Unnamed: 0: int64
client_id: string
path: string
sentence: string
up_votes: int64
down_votes: int64
age: string
gender: string
accent: double
locale: string
segment: string
-- schema metadata --
huggingface: '{"info": {"features": {"audio": {"_type": "Audio"}, "Unname' + 542
to
{'audio': Audio(sampling_rate=None, mono=True, decode=True, id=None), 'client_id': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'sentence': Value(dtype='string', id=None), 'up_votes': Value(dtype='int64', id=None), 'down_votes': Value(dtype='int64', id=None), 'age': Value(dtype='string', id=None), 'gender': Value(dtype='string', id=None), 'accent': Value(dtype='float64', id=None), 'locale': Value(dtype='string', id=None), 'segment': Value(dtype='float64', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 328, in compute
                  compute_first_rows_from_parquet_response(
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 88, in compute_first_rows_from_parquet_response
                  rows_index = indexer.get_rows_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 631, in get_rows_index
                  return RowsIndex(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 512, in __init__
                  self.parquet_index = self._init_parquet_index(
                File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 529, in _init_parquet_index
                  response = get_previous_step_or_raise(
                File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 566, in get_previous_step_or_raise
                  raise CachedArtifactError(
              libcommon.simple_cache.CachedArtifactError: The previous step failed.
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 126, in get_rows_or_raise
                  return get_rows(
                File "/src/services/worker/src/worker/utils.py", line 64, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 103, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1388, in __iter__
                  for key, example in ex_iterable:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 282, in __iter__
                  for key, pa_table in self.generate_tables_fn(**self.kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 70, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 58, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2194, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              audio: struct<bytes: binary, path: string>
                child 0, bytes: binary
                child 1, path: string
              Unnamed: 0: int64
              client_id: string
              path: string
              sentence: string
              up_votes: int64
              down_votes: int64
              age: string
              gender: string
              accent: double
              locale: string
              segment: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"audio": {"_type": "Audio"}, "Unname' + 542
              to
              {'audio': Audio(sampling_rate=None, mono=True, decode=True, id=None), 'client_id': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'sentence': Value(dtype='string', id=None), 'up_votes': Value(dtype='int64', id=None), 'down_votes': Value(dtype='int64', id=None), 'age': Value(dtype='string', id=None), 'gender': Value(dtype='string', id=None), 'accent': Value(dtype='float64', id=None), 'locale': Value(dtype='string', id=None), 'segment': Value(dtype='float64', id=None)}
              because column names don't match