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README.md
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num_bytes: 60734820.0
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num_examples: 124
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download_size: 21576079488
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dataset_size: 21800128626.875
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# Dataset Card for "bible_tts_hausa"
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annotations_creators: []
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language:
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- ha
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language_creators:
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- expert-generated
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license:
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- cc-by-sa-4.0
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multilinguality:
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- monolingual
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pretty_name: BibleTTS Hausa
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size_categories:
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- 10K<n<100K
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source_datasets:
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- original
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tags:
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- bible
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task_categories:
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- automatic-speech-recognition
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- text-to-speech
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task_ids: []
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# Dataset Card for BibleTTS Hausa
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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## Dataset Description
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- **Homepage:** https://masakhane-io.github.io/bibleTTS/
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- **Repository:** http://www.openslr.org/129/
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- **Paper:** https://arxiv.org/abs/2207.03546
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### Dataset Summary
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BibleTTS is a large high-quality open Text-to-Speech dataset with up to 80 hours of single speaker, studio quality 48kHz recordings.
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This is a Hausa part of the dataset. Aligned hours: 86.6, aligned verses: 40,603.
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### Languages
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Hausa
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## Dataset Structure
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### Data Fields
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- `audio`: audio path
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- `sentence`: transcription of the audio
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- `locale`: always set to `ha`
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- `book`: 3-char book encoding
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- `verse`: verse id
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### Data Splits
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- `dev`: Book of Ezra (264 verses)
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- `test`: Book of Colossians (124 verses)
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- `train`: all other books (40215 verses)
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## Additional Information
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### Dataset Curators
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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.
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### Licensing Information
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The data is released under a commercial-friendly [CC-BY-SA](https://creativecommons.org/licenses/by-sa/4.0/) license.
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### Citation Information
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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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