| --- |
| language: |
| - fr |
| license: apache-2.0 |
| task_categories: |
| - text-to-speech |
| tags: |
| - french |
| - tts |
| - conversational |
| - multi-speaker |
| - fintech |
| - ecommerce |
| - healthcare |
| size_categories: |
| - 100K<n<1M |
| --- |
| |
| # French Conversational TTS Dataset |
|
|
| ## Dataset Description |
|
|
| This dataset contains high-fidelity French text-to-speech audio clips generated using Mistral's **Voxtral Mini TTS** model (`voxtral-mini-tts-2603`). It covers three B2B industry verticals with balanced male/female speaker distribution. |
|
|
| ### Verticals |
|
|
| | Vertical | Description | |
| |---|---| |
| | `fintech_banking` | Banking operations, account inquiries, fraud alerts, investments, customer service | |
| | `ecommerce_logistics` | Order tracking, delivery notifications, returns, product info, promotions | |
| | `healthcare_medical` | Appointments, prescriptions, test results, procedures, health advice, insurance | |
|
|
| ### Speaker Distribution |
|
|
| - **6 Female voices** (French native - Marie variants: neutral, happy, excited, curious, sad, angry) |
| - **6 Male voices** (Multilingual Voxtral - Paul & Oliver variants) |
| - Strict 50/50 gender rotation across all clips |
|
|
| ### Format |
|
|
| - **Audio**: MP3 files organized as `data/audio/{GENDER}_{VERTICAL}/clip_{id}.mp3` |
| - **Metadata**: JSONL files in `metadata/` with fields: `file_path`, `text`, `speaker_id`, `gender`, `vertical` |
|
|
| ### Data Quality |
|
|
| - All text is pre-processed: numbers, acronyms, and symbols converted to spoken French form |
| - Clip length: 15-40 words per audio file |
| - No markdown, emojis, or special punctuation in text content |
|
|
