Datasets:

---

yaya-sy

/

bm-speech-test

like 0

Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
duration: double
transcription: string
french: string
language: string
input_features: list<item: list<item: float>>
  child 0, item: list<item: float>
      child 0, item: float
input_length: int64
labels: list<item: int64>
  child 0, item: int64
text_length: int64
-- schema metadata --
huggingface: '{"info": {"features": {"duration": {"dtype": "float64", "_t' + 488
to
{'indices': Value(dtype='uint64', id=None)}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1854, in _prepare_split_single
                  for _, table in generator:
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 689, in wrapped
                  for item in generator(*args, **kwargs):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/arrow/arrow.py", line 76, 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 59, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              duration: double
              transcription: string
              french: string
              language: string
              input_features: list<item: list<item: float>>
                child 0, item: list<item: float>
                    child 0, item: float
              input_length: int64
              labels: list<item: int64>
                child 0, item: int64
              text_length: int64
              -- schema metadata --
              huggingface: '{"info": {"features": {"duration": {"dtype": "float64", "_t' + 488
              to
              {'indices': Value(dtype='uint64', id=None)}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1415, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 991, in stream_convert_to_parquet
                  builder._prepare_split(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1897, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset