Moore Speech Proverbs: A Parallel Audio-Text Corpus for Mooré and French
The Moore Speech Proverbs dataset is a bilingual audio-text corpus of traditional proverbs in Mooré and French, designed for research and academic purposes in low-resource speech and language processing. It is intended primarily for academic or research purposes in text-to-speech (TTS) and automatic speech recognition (ASR) for Mooré language.
⚠️ Access is gated. To request access, please read the policy below.
🛑 TLDR: For safety and traceability reasons, anonymous or vague requests will not be approved.
All scripts used to create this dataset are part of the Moore Speech Corpora Toolkit. ⭐ if it’s helpful!
Languages
- Mooré (ISO 639-3:
mos
) - French (
fr
)
Dataset Structure
Each record contains:
moore_audio
: 16 kHz WAV audio of the proverb in Moorémoore_text
: Transcription in Mooréfrench_audio
: 16 kHz WAV audio of the French translationfrench_text
: Translation in Frenchduration_moore
: Duration in secondsduration_french
: Duration in secondschapter
: Volume name (e.g.vol1
,vol2
, ...)
Example format:
{
"moore_text": "Sẽn tar-a pãng n tar sugri.",
"french_text": "Clémence rime avec puissance.",
"duration_moore": 2.31,
"duration_french": 2.85,
"chapter": "01-001-007",
"moore_audio": { "path": "...", "array": [...], "sampling_rate": 16000 },
"french_audio": { "path": "...", "array": [...], "sampling_rate": 16000 }
}
Dataset Overview
- 🗂️ Splits:
vol1
tovol11
+ a combinedfull
split - 🔢 Total examples: 1159
- ⏱️ Total audio (Moore): ~2.34 hours
Use Cases
This dataset is intended for:
- Research on low-resource speech technologies
- Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) systems for Mooré
- Cross-lingual and translation modeling (Mooré ↔ French)
- Digital preservation of oral traditions
❌ Commercial use is not permitted.
Access Policy (Important)
The dataset is under gated mode to ensure ethical use and protect cultural data integrity.
To request access, please contact Wendyellé A. Alban NYANTUDRE ([email protected]).
Access will only be granted to individuals or institutions who:
- Clearly identify themselves
- Describe their intended academic or research use
- Agree to the non-commercial usage restriction
🔐 For safety and traceability reasons, anonymous or vague requests will not be approved.
Contributing or Collaborating
We welcome collaboration from anyone passionate about representing Mooré in language technologies! There are many ways to contribute:
- Suggest improvements or extensions to the dataset
- Share scripts, tools, or preprocessing tips in the GitHub repo (Moore Speech Corpora Toolkit ⭐)
- Improve documentation or metadata
- Help with validation, alignment, or text normalization
✅ Just make sure your contribution is meaningful, reproducible, and documented.
Together, let’s help Mooré shine in the world of AI! 💛
To contribute, feel free to open an issue or contact us directly.
License
The original audio/text content is sourced from mooreburkina.com and this processed dataset is licensed under CC BY-NC 4.0, allowing attribution-required, non-commercial use.
- Original audio/text: Copyright MooreBurkina.com – All rights reserved
- This processed dataset: Licensed under CC BY-NC 4.0 (Attribution required; strictly non-commercial use only)
For commercial or other usage scenarios not covered by this license, please contact us. By accessing this dataset, you agree to these terms.
Citation
@misc{nyantudre2025mooreproverbs,
title = {Moore Speech Proverbs: A Parallel Audio-Text Corpus for Mooré and French},
author = {Nyantudre, Wendyellé Abubakrh Alban and Bandaogo, Aristide},
year = {2025},
howpublished = {Hugging Face Datasets (gated)}
}
Contacts
Curator: Wendyellé A. Alban NYANTUDRE
Aristide BANDAOGO
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