anyantudre/moore-speech-proverbes

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!

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Languages

• Mooré (ISO 639-3: mos)
• French (fr)

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Dataset Structure

Each record contains:

• moore_audio: 16 kHz WAV audio of the proverb in Mooré
• moore_text: Transcription in Mooré
• french_audio: 16 kHz WAV audio of the French translation
• french_text: Translation in French
• duration_moore: Duration in seconds
• duration_french: Duration in seconds
• chapter: 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 to vol11 + a combined full split
• 🔢 Total examples: 1159
• ⏱️ Total audio (Moore): ~2.34 hours

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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.

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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.

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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.

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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.

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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)}
}

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Contacts

• Curator: Wendyellé A. Alban NYANTUDRE

  • 📧 [email protected]
  • 💼 LinkedIn

• Aristide BANDAOGO

  • 📧 [email protected]