metadata

language:
  - mos
  - fr
license: cc-by-nc-4.0
size_categories:
  - 1K<n<10K
task_categories:
  - text-to-speech
  - automatic-speech-recognition
pretty_name: Moore Speech Devinettes
dataset_info:
  features:
    - name: audio
      dtype: audio
    - name: transcription
      dtype: string
    - name: duration
      dtype: float32
    - name: chapter
      dtype: string
    - name: voice
      dtype: string
    - name: speaker_id
      dtype: int64
  splits:
    - name: train
      num_bytes: 162572089
      num_examples: 611
  download_size: 160303845
  dataset_size: 162572089
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*

Moore Speech Devinettes: A Spoken Riddle Dataset in Mooré

The Moore Speech Devinettes dataset is a spoken collection of traditional Mooré riddles, created for academic and research use in low-resource speech and language technologies.

It is designed to support work in text-to-speech (TTS), automatic speech recognition (ASR), and oral tradition modeling for the Mooré language (ISO 639-3: mos).

⚠️ Access is gated. To request access, please read the policy below. 🚩 TLDR: For safety and traceability, 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!

Dataset Structure

Each record contains:

audio: 16 kHz WAV audio of the riddle in Mooré
transcription: Mooré transcription of the spoken riddle
duration: Duration of the audio in seconds
chapter: Identifier for the riddle set
voice: Type of voice (e.g. adult, child)
speaker_id: Unique speaker identifier

Example format:

{
  "transcription": "Ka yéla yélga baore?","  
  "duration": 3.14,
  "chapter": "devinettes_set1",
  "voice": "female",
  "speaker_id": "spk_001",
  "audio": { "path": "...", "array": [...], "sampling_rate": 16000 }
}

Dataset Overview

🗂️ Split: train
🔢 Total examples: 611
🕒 Total audio duration (Mooré): ~1.41 hours

Use Cases

This dataset is intended for:

Research on low-resource speech technologies
Text-to-Speech (TTS) and Automatic Speech Recognition (ASR) for Mooré
Modeling oral traditions and spoken cultural heritage

❌ 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 (nyantudre@gmail.com).

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.

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{nyantudre2025mooredevinettes,
  title        = {Moore Speech Devinettes: A Spoken Riddle Audio Corpus in Mooré},
  author       = {Nyantudre, Wendyellé Abubakrh Alban and Bandaogo, Aristide},
  year         = {2025},
  howpublished = {Hugging Face Datasets (gated)}
}

Contacts

Curator: Wendyellé A. Alban NYANTUDRE
- 📧 nyantudre@gmail.com
- 💼 LinkedIn
Aristide BANDAOGO
- 📧 aristide@goaicorporation.org