Datasets:

---

sdelangen

/

speechbrain-samples

like 0

Error code:   DatasetGenerationError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<wav: string, duration: string, length: string, spk_id: string, ali: string, phn: string, ground_truth_phn_ends: string, char: string, wrd: string, emo: string>
to
{'wav': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'duration': Value(dtype='string', id=None), 'length': Value(dtype='string', id=None), 'spk_id': Value(dtype='string', id=None), 'ali': Value(dtype='string', id=None), 'phn': Value(dtype='string', id=None), 'ground_truth_phn_ends': Value(dtype='string', id=None), 'char': Value(dtype='string', id=None), 'wrd': Value(dtype='string', id=None), 'words': Value(dtype='string', id=None), 'trans': Value(dtype='string', id=None), 'label': Value(dtype='string', id=None), 'emo': Value(dtype='string', id=None), 'fold': Value(dtype='int64', id=None), 'class_string': Value(dtype='string', id=None), 'segment': Value(dtype='bool', id=None), 'emotion': [{'emo': Value(dtype='string', id=None), 'start': Value(dtype='int64', id=None), 'end': Value(dtype='float64', id=None)}], 'frame_label': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in cast_table_to_schema
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2261, in <listcomp>
                  arrays = [cast_array_to_feature(table[name], feature) for name, feature in features.items()]
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 1802, in <listcomp>
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2122, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<wav: string, duration: string, length: string, spk_id: string, ali: string, phn: string, ground_truth_phn_ends: string, char: string, wrd: string, emo: string>
              to
              {'wav': Value(dtype='string', id=None), 'path': Value(dtype='string', id=None), 'duration': Value(dtype='string', id=None), 'length': Value(dtype='string', id=None), 'spk_id': Value(dtype='string', id=None), 'ali': Value(dtype='string', id=None), 'phn': Value(dtype='string', id=None), 'ground_truth_phn_ends': Value(dtype='string', id=None), 'char': Value(dtype='string', id=None), 'wrd': Value(dtype='string', id=None), 'words': Value(dtype='string', id=None), 'trans': Value(dtype='string', id=None), 'label': Value(dtype='string', id=None), 'emo': Value(dtype='string', id=None), 'fold': Value(dtype='int64', id=None), 'class_string': Value(dtype='string', id=None), 'segment': Value(dtype='bool', id=None), 'emotion': [{'emo': Value(dtype='string', id=None), 'start': Value(dtype='int64', id=None), 'end': Value(dtype='float64', id=None)}], 'frame_label': Sequence(feature=Value(dtype='string', id=None), length=-1, id=None)}
              
              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 1529, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1154, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1882, 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 2038, 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