![](https://cdn-avatars.huggingface.co/v1/production/uploads/1635161073467-61669cac1fa2bc2e548738c6.jpeg)
z-uo/glowtts-male-it
Text-to-Speech
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Updated
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11
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1
Error code: FeaturesError Exception: ParserError Message: Error tokenizing data. C error: Expected 5 fields in line 4, saw 7 Traceback: Traceback (most recent call last): File "/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py", line 269, in get result = next(queryset) File "/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py", line 1608, in __next__ raw_doc = next(self._cursor) File "/src/services/worker/.venv/lib/python3.9/site-packages/pymongo/cursor.py", line 1267, in next raise StopIteration StopIteration During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 533, in get_response_with_details CachedResponseDocument.objects(kind=kind, dataset=dataset, config=config, split=split) File "/src/services/worker/.venv/lib/python3.9/site-packages/mongoengine/queryset/base.py", line 272, in get raise queryset._document.DoesNotExist(msg) libcommon.simple_cache.DoesNotExist: CachedResponseDocument matching query does not exist. The above exception was the direct cause of the following exception: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 322, 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 640, in get_rows_index return RowsIndex( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 521, in __init__ self.parquet_index = self._init_parquet_index( File "/src/libs/libcommon/src/libcommon/parquet_utils.py", line 538, in _init_parquet_index response = get_previous_step_or_raise( File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 582, in get_previous_step_or_raise response = get_response_with_details(kind=kind, dataset=dataset, config=config, split=split) File "/src/libs/libcommon/src/libcommon/simple_cache.py", line 546, in get_response_with_details raise CachedArtifactNotFoundError(kind=kind, dataset=dataset, config=config, split=split) from e libcommon.simple_cache.CachedArtifactNotFoundError: Cache entry does not exist: kind='config-parquet-metadata' dataset='z-uo/male-LJSpeech-italian' config='default' split=None During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 240, in compute_first_rows_from_streaming_response iterable_dataset = iterable_dataset._resolve_features() File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2216, in _resolve_features features = _infer_features_from_batch(self.with_format(None)._head()) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1239, in _head return _examples_to_batch(list(self.take(n))) File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1389, in __iter__ for key, example in ex_iterable: File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1044, in __iter__ yield from islice(self.ex_iterable, self.n) 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/csv/csv.py", line 195, in _generate_tables for batch_idx, df in enumerate(csv_file_reader): File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1843, in __next__ return self.get_chunk() File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1985, in get_chunk return self.read(nrows=size) File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1923, in read ) = self._engine.read( # type: ignore[attr-defined] File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/c_parser_wrapper.py", line 234, in read chunks = self._reader.read_low_memory(nrows) File "parsers.pyx", line 850, in pandas._libs.parsers.TextReader.read_low_memory File "parsers.pyx", line 905, in pandas._libs.parsers.TextReader._read_rows File "parsers.pyx", line 874, in pandas._libs.parsers.TextReader._tokenize_rows File "parsers.pyx", line 891, in pandas._libs.parsers.TextReader._check_tokenize_status File "parsers.pyx", line 2061, in pandas._libs.parsers.raise_parser_error pandas.errors.ParserError: Error tokenizing data. C error: Expected 5 fields in line 4, saw 7
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This dataset is an Italian version of LJSpeech, that merge all male audio of the same speaker finded into M-AILABS Speech Dataset.
This dataset contains 31h 45m of one speacker recorded at 16000Hz. This is a valid choiche to train an italian TTS deep model with male voice.