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|
| | from pathlib import Path |
| | from typing import ( |
| | Any, |
| | Dict, |
| | Iterable, |
| | List, |
| | Tuple, |
| | ) |
| |
|
| | from datasets import ( |
| | Audio, |
| | BuilderConfig, |
| | DatasetInfo, |
| | Features, |
| | GeneratorBasedBuilder, |
| | Split, |
| | SplitGenerator, |
| | Value, |
| | ) |
| | from datasets.download.download_manager import ( |
| | ArchiveIterable, |
| | DownloadManager, |
| | ) |
| |
|
| |
|
| | class FLEURSHSVITSConfig(BuilderConfig): |
| | def __init__( |
| | self, |
| | name, |
| | **kwargs, |
| | ): |
| | super( |
| | FLEURSHSVITSConfig, |
| | self, |
| | ).__init__( |
| | name=name, |
| | **kwargs, |
| | ) |
| |
|
| |
|
| | class FLEURSHSVITSDataset(GeneratorBasedBuilder): |
| | DEFAULT_CONFIG_NAME = "en_us" |
| |
|
| | BUILDER_CONFIGS = [ |
| | FLEURSHSVITSConfig(name=name) |
| | for name in ( |
| | "de_de", |
| | "en_us", |
| | "es_419", |
| | "fr_fr", |
| | "it_it", |
| | "nl_nl", |
| | "pl_pl", |
| | "sv_se", |
| | ) |
| | ] |
| |
|
| | def get_audio_archive_path( |
| | self, |
| | ) -> Path: |
| | return Path("data") / self.config.name / "splits" / "test.tar.gz" |
| |
|
| | def _info(self) -> DatasetInfo: |
| | return DatasetInfo( |
| | description="FLEURS Human-Synthetic VITS test dataset", |
| | features=Features( |
| | { |
| | "audio": Audio(sampling_rate=16000), |
| | "label": Value("string"), |
| | } |
| | ), |
| | supervised_keys=None, |
| | homepage="https://huggingface.co/datasets/realnetworks-kontxt/fleurs-hs-vits", |
| | license="CC BY 4.0", |
| | citation="\n".join( |
| | ( |
| | "@inproceedings{dropuljic-ssdww2v2ivls", |
| | "author={Dropuljić, Branimir and Šuflaj, Miljenko and Jertec, Andrej and Obadić, Leo}", |
| | "booktitle={2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)}", |
| | "title={Synthetic speech detection with Wav2Vec 2.0 in various language settings}", |
| | "year={2024}", |
| | "volume={}", |
| | "number={}", |
| | "pages={1-5}", |
| | "keywords={Synthetic speech detection;text-to-speech;wav2vec 2.0;spoofing attack;multilingualism}", |
| | "doi={}", |
| | "}", |
| | ) |
| | ), |
| | ) |
| |
|
| | def _split_generators( |
| | self, |
| | download_manager: DownloadManager, |
| | ) -> List[SplitGenerator]: |
| | archive_iterable = self.get_audio_archive_path() |
| | archive_iterable = download_manager.download(archive_iterable) |
| | archive_iterable = download_manager.iter_archive(archive_iterable) |
| |
|
| | return [ |
| | SplitGenerator( |
| | name=Split.TEST, |
| | gen_kwargs={ |
| | "archive_iterable": archive_iterable, |
| | }, |
| | ), |
| | ] |
| |
|
| | def _generate_examples( |
| | self, |
| | archive_iterable: ArchiveIterable, |
| | ) -> Iterable[Tuple[int, Dict[str, Any]]]: |
| | current_index = 0 |
| | for audio_path, audio_file in archive_iterable: |
| | yield current_index, { |
| | "audio": { |
| | "path": audio_path, |
| | "bytes": audio_file.read(), |
| | }, |
| | "label": "synthetic", |
| | } |
| |
|
| | current_index += 1 |
| |
|