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from pathlib import Path |
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import json |
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import datasets |
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logger = datasets.logging.get_logger(__name__) |
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_DESCRIPTION = """Verse-level segmented audio of |
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[Swahili: Biblica® Open Kiswahili Contemporary Version (Neno)](https://open.bible/bibles/swahili-biblica-audio-bible/). |
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Aligned, cleaned, and segmented using [MMS](https://arxiv.org/abs/2305.13516). |
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""" |
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_HOMEPAGE_URL = "https://github.com/bookbot-hive/OpenBible-TTS" |
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_CITATION = "" |
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_DATA_URL = "https://huggingface.co/datasets/bookbot/OpenBible_Swahili/resolve/main/data" |
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_LICENSE = "https://creativecommons.org/licenses/by-sa/4.0/" |
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BOOKS = [ |
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"GEN", |
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"EXO", |
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"LEV", |
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"NUM", |
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"DEU", |
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"JOS", |
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"JDG", |
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"RUT", |
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"1SA", |
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"2SA", |
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"1KI", |
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"2KI", |
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"1CH", |
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"2CH", |
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"EZR", |
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"NEH", |
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"EST", |
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"JOB", |
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"PSA", |
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"PRO", |
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"ECC", |
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"SNG", |
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"ISA", |
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"JER", |
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"LAM", |
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"EZK", |
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"DAN", |
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"HOS", |
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"JOL", |
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"AMO", |
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"OBA", |
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"JON", |
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"MIC", |
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"NAM", |
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"HAB", |
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"ZEP", |
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"HAG", |
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"ZEC", |
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"MAL", |
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"MAT", |
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"MRK", |
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"LUK", |
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"JHN", |
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"ACT", |
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"ROM", |
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"1CO", |
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"2CO", |
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"GAL", |
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"EPH", |
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"PHP", |
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"COL", |
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"1TH", |
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"2TH", |
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"1TI", |
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"2TI", |
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"TIT", |
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"PHM", |
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"HEB", |
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"JAS", |
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"1PE", |
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"2PE", |
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"1JN", |
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"2JN", |
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"3JN", |
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"JUD", |
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"REV", |
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] |
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class OpenBibleSwahiliConfig(datasets.BuilderConfig): |
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"""BuilderConfig for OpenBibleSwahili""" |
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def __init__(self, name, version): |
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super(OpenBibleSwahiliConfig, self).__init__( |
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name=name, |
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version=version, |
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description=_DESCRIPTION, |
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) |
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class OpenBible_Swahili(datasets.GeneratorBasedBuilder): |
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DEFAULT_CONFIG_NAME = "default" |
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BUILDER_CONFIGS = [ |
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OpenBibleSwahiliConfig( |
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name=book, |
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version=datasets.Version("1.1.0"), |
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) |
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for book in BOOKS + [f"{_book}_clean" for _book in BOOKS] + ["default", "clean"] |
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] |
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def _info(self): |
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features = datasets.Features( |
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{ |
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"id": datasets.Value("string"), |
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"verse_id": datasets.Value("string"), |
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"audio": datasets.Audio(sampling_rate=44_100), |
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"verse_text": datasets.Value("string"), |
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"transcript": datasets.Value("string"), |
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} |
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) |
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return datasets.DatasetInfo( |
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description=_DESCRIPTION, |
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features=features, |
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supervised_keys=None, |
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homepage=_HOMEPAGE_URL, |
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citation=_CITATION, |
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license=_LICENSE, |
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) |
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def _split_generators(self, dl_manager): |
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if self.config.name == "default": |
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archive_paths = [dl_manager.download_and_extract(f"{_DATA_URL}/{book}.tar.gz") for book in BOOKS] |
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elif self.config.name == "clean": |
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archive_paths = [dl_manager.download_and_extract(f"{_DATA_URL}/{book}_clean.tar.gz") for book in BOOKS] |
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else: |
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archive_paths = [dl_manager.download_and_extract(f"{_DATA_URL}/{self.config.name}.tar.gz")] |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={ |
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"archive_paths": archive_paths, |
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}, |
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) |
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] |
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def _generate_examples(self, archive_paths): |
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id_ = 0 |
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for archive_path in archive_paths: |
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path = Path(archive_path) |
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json_path = list(path.rglob("*.json"))[0] |
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with open(json_path) as f: |
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data = json.load(f) |
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for datum in data: |
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book = datum["verseNumber"].split()[0] |
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chapter, verse_number = datum["verseNumber"].split()[1].split(":") |
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book_chapter = f"{book}_{chapter.zfill(3)}" |
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book_chapter_verse = f"{book_chapter}_{verse_number.zfill(3)}" |
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audio_path = (path / book / book_chapter / book_chapter_verse).with_suffix(".wav") |
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if not audio_path.exists(): |
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continue |
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transcript_path = audio_path.with_suffix(".txt") |
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with open(transcript_path) as f: |
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transcript = f.read().strip() |
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yield id_, { |
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"id": book_chapter_verse, |
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"verse_id": datum["verseNumber"], |
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"audio": str(audio_path), |
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"verse_text": datum["verseText"], |
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"transcript": transcript, |
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} |
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id_ += 1 |
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