Dataset Viewer
The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: ParserError
Message: Error tokenizing data. C error: Expected 2 fields in line 3, saw 4
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
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 77, 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 2270, in __iter__
for key, example in ex_iterable:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1856, in __iter__
for key, pa_table in self._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1879, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 476, in _iter_arrow
for key, pa_table in iterator:
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 323, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/csv/csv.py", line 190, 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 2 fields in line 3, saw 4Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Orpheus TTS Dataset
This dataset is prepared for training Orpheus TTS models.
Dataset Information
- Total samples: 429
- Audio sampling rate: 44100 Hz
- Format: Single-speaker TTS dataset with 'text' and 'audio' columns
This dataset is specifically formatted for Orpheus TTS single-speaker models. It includes:
- Text content in the 'text' column
- Audio files properly structured for training
Dataset Structure
The dataset is provided in multiple formats:
metadata.json: Contains text and paths to audio filesmetadata.csv: CSV version with file_name and text columnstrain/: Directory containing all audio files
Usage with Orpheus TTS
Method 1: Using the helper script
# Run the load_dataset.py script in this directory
from load_dataset import dataset
# The dataset is already processed and ready to use
print(len(dataset))
Method 2: Loading manually in your training script
import json
from datasets import Dataset, Audio
# Load metadata
with open("metadata.json", "r", encoding="utf-8") as f:
metadata = json.load(f)
# Create dataset
dataset = Dataset.from_dict({
"text": metadata["text"],
"audio": metadata["audio"]
})
# Process audio files
dataset = dataset.cast_column("audio", Audio())
For more details, see the original Orpheus TTS training script.
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