The dataset viewer is not available for this subset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 298, in get_dataset_config_info
for split_generator in builder._split_generators(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 175, in _split_generators
pa_metadata_table = self._read_metadata(downloaded_metadata_file, metadata_ext=metadata_ext)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/packaged_modules/folder_based_builder/folder_based_builder.py", line 241, in _read_metadata
return pa.Table.from_pandas(pd.read_csv(metadata_file))
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/streaming.py", line 75, in wrapper
return function(*args, download_config=download_config, **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/utils/file_utils.py", line 1212, in xpandas_read_csv
return pd.read_csv(xopen(filepath_or_buffer, "rb", download_config=download_config), **kwargs)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 1026, in read_csv
return _read(filepath_or_buffer, kwds)
File "/src/services/worker/.venv/lib/python3.9/site-packages/pandas/io/parsers/readers.py", line 626, in _read
return parser.read(nrows)
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 838, 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 1 fields in line 3, saw 2
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/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 352, in get_dataset_split_names
info = get_dataset_config_info(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 303, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Google Text-to-Speech Basque sentences
This dataset contains 100.000 Basque language audio files created automatically with Google Text-to-Speech API and sentences obtained by Mozilla's Common Voice project with Public Domain license.
Dataset Details
Dataset Description
The Basque language (as it is a minorized language) has a lack of Open Data in order to train TTS models. This models need a massive quantity of recordings that nowadays nobody in the basque open-source community possibly can afford it. So, this dataset has come to fill the gap to at least start creating basic low quality artificial intelligence (AI) models.
The Basque Common Voice dataset has 1017596 validated sentences in total. But, in this very first try with an objective of creating a synthetic Basque Open Source TTS, we just picked up a subset of first 100.000 sentences of the original dataset.
File structure
common_voice_basque_dataset.zip
metadata.csv
wav/
├─ 1-10000
├─ audio_1.wav
├─ audio_2.wav
├─ ...
├─ 10001-20000
├─ audio_10001.wav
├─ audio_10002.wav
├─ ...
├─ ...
common_voice_basque_dataset.zipcontains 1017596 validated basque sentences used in the Mozilla's Common Voice project.metadata.csvfile contains audio file names with each corresponding sentence.wavfolder contains all audio files.
Metadata
The metadata file contains the first 100.000 sentences of the Basque Common Voice dataset aligned with it's corresponding audio file name, following the Piper model training recommendations:
audio_file_name|sentences
For example the first line looks like:
audio_1|Erloju digitala du.
Starting and ending spaces of the sentences from the Basque Common Voice dataset where striped before creating the audio. So, sentences from metadata.json may differ from original Common Voice sentences.
The number from the filename it's exactly the line number of the
Common Voice datasetfile line number.
Audio format
The audio file format choosen was a LINEAR16, uncompressed 16-bit signed little-endian samples (Linear PCM) with a WAV header.
This choice was made because the Piper project needs wav files in order to train TTS models.
Other Google supported audio formats: https://cloud.google.com/text-to-speech/docs/reference/rest/v1/AudioConfig#AudioEncoding
Google TTS Voice
The voice used to create these audio files is the Basque Standard B female (eu-ES-Standard-B) synthetic voice. There is another voice (eu-ES-Standart-A) but the quality is lower and sounds very metallic/robotic.
More information in Google's TTS supported voices: https://cloud.google.com/text-to-speech/docs/voices
Scripts
All the scripts used to create this dataset are in this repository. Have fun! ☺️
Licenses
The entire Common Voice sentence dataset has a Public Domain license, so this Basque audio dataset does as well.
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