AfriSpeech/open-bible-speech-african
Open Bible Resources — African Languages Spoken-audio Bible recordings aligned to verse-level text for 19 African languages — roughly 1,741 hours of audio across ~552,907 audio–text pairs (~357 GB). This dataset is the African-language subset of davidguzmanr/open-bible-resources, re-hosted here by AfriSpeech to make the African languages easy to find and use on their own. The audio and text are unchanged from the source; only the non-African configurations have been removed. All… See the full description on the dataset page: https://huggingface.co/datasets/AfriSpeech/open-bible-speech-african.
Open Bible Resources — African Languages
Spoken-audio Bible recordings aligned to verse-level text for 19 African languages — roughly 1,741 hours of audio across ~552,907 audio–text pairs (~357 GB).
This dataset is the African-language subset of `davidguzmanr/open-bible-resources`, re-hosted here by AfriSpeech to make the African languages easy to find and use on their own. The audio and text are unchanged from the source; only the non-African configurations have been removed. All credit for collecting and aligning the data goes to the original authors and to Open.Bible / Faith Comes By Hearing.
Languages
Hours are computed from the duration_seconds field (sum of all clips per language).
Dataset structure
Each language is a separate config with train and test splits. Every example contains:
Usage
from datasets import load_dataset
# Load one language (config name = language)
ds = load_dataset("AfriSpeech/open-bible-speech-african", "Yoruba")
print(ds)
print(ds["train"][0]["text"], ds["train"][0]["audio"])
# Stream instead of downloading everything
ds = load_dataset("AfriSpeech/open-bible-speech-african", "Swahili", streaming=True)
for ex in ds["train"]:
print(ex["text"]); breakConfig names are exactly the language names in the table above (e.g. "Twi (Akuapem)", "Dholuo").
Intended uses
- Automatic Speech Recognition (ASR) for under-resourced African languages
- Text-to-Speech (TTS) and speech synthesis
- Speech-to-text alignment, pronunciation modelling, and multilingual audio research
Licensing & attribution
Released under CC BY-SA 4.0, following the source dataset. The underlying recordings originate from the Open.Bible project. Please cite the original dataset and the Open.Bible source when using this data, and comply with the CC BY-SA 4.0 share-alike terms.
This is a redistribution for convenience. If you are the data owner and would like changes, please open a discussion on this repository.
