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README.md

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----
-annotations_creators: []
-language:
-- ha
-language_creators:
-- expert-generated
-license:
-- cc-by-sa-4.0
-multilinguality:
-- monolingual
-pretty_name: BibleTTS Hausa
-size_categories:
-- 10K<n<100K
-source_datasets:
-- original
-tags:
-- bible
-task_categories:
-- automatic-speech-recognition
-- text-to-speech
-task_ids: []
----
-
-# Dataset Card for BibleTTS Hausa
-
-## Table of Contents
-- [Table of Contents](#table-of-contents)
-- [Dataset Description](#dataset-description)
-  - [Dataset Summary](#dataset-summary)
-  - [Languages](#languages)
-- [Dataset Structure](#dataset-structure)
-  - [Data Fields](#data-fields)
-  - [Data Splits](#data-splits)
-- [Additional Information](#additional-information)
-  - [Dataset Curators](#dataset-curators)
-  - [Licensing Information](#licensing-information)
-  - [Citation Information](#citation-information)
-
-## Dataset Description
-
-- **Homepage:** https://masakhane-io.github.io/bibleTTS/
-- **Repository:** http://www.openslr.org/129/
-- **Paper:** https://arxiv.org/abs/2207.03546
-
-### Dataset Summary
-
-BibleTTS is a large high-quality open Text-to-Speech dataset with up to 80 hours of single speaker, studio quality 48kHz recordings.
-This is a Hausa part of the dataset. Aligned hours: 86.6, aligned verses: 40,603.
-
-### Languages
-
-Hausa
-
-## Dataset Structure
-
-### Data Fields
-
-- `audio`: audio path
-- `sentence`: transcription of the audio
-- `locale`: always set to `ha`
-- `book`: 3-char book encoding
-- `verse`: verse id
-
-### Data Splits
-
-- `dev`: Book of Ezra (264 verses)
-- `test`: Book of Colossians (124 verses)
-- `train`: all other books (40215 verses)
-
-## Additional Information
-
-*See [this notebook](https://github.com/seads-org/hausa-speech-recognition/blob/6993c5c74379c93a2416acac6126b60ce6e52df8/notebooks/prepare_bible_dataset.ipynb) for the code on how the dataset was processed.
-
-### Dataset Curators
-
-The dataset uploaded by [vpetukhov](https://github.com/VPetukhov/) who is not connected to the dataset authors. Please, see the project page for more info.
-
-### Licensing Information
-
-The data is released under a commercial-friendly [CC-BY-SA](https://creativecommons.org/licenses/by-sa/4.0/) license.
-
-### Citation Information
-
-Meyer, Josh, et al. "BibleTTS: a large, high-fidelity, multilingual, and uniquely African speech corpus." arXiv preprint arXiv:2207.03546 (2022).

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