| --- |
| license: mit |
| task_categories: |
| - text-to-speech |
| language: |
| - en |
| tags: |
| - audio |
| - tts |
| - synthetic |
| - emotion |
| - kion |
| pretty_name: KionTTS Dataset |
| size_categories: |
| - 10K<n<100K |
| dataset_info: |
| features: |
| - name: id |
| dtype: string |
| - name: tier |
| dtype: string |
| - name: text |
| dtype: string |
| - name: audio |
| dtype: audio |
| - name: emotions |
| dtype: string |
| - name: styles |
| dtype: string |
| configs: |
| - config_name: default |
| data_files: |
| - split: tier1 |
| path: data/tier1/*.parquet |
| - split: tier2 |
| path: data/tier2/*.parquet |
| - split: tier3 |
| path: data/tier3/*.parquet |
| --- |
| |
| # KionTTS Dataset |
|
|
| Synthetic TTS training dataset for **Kion** (Kognetive Intelligence Orchestration Node), |
| generated with IndexTTS2 using emotion and style conditioning. |
|
|
| ## Dataset Structure |
|
|
| | Field | Type | Description | |
| |-------|------|-------------| |
| | `id` | string | Unique 8-char hex ID | |
| | `tier` | string | `tier1` (regenerated fixes), `tier2` (spot-check), `tier3` (clean) | |
| | `text` | string | Full text with inline emotion tags e.g. `[happy=0.7] Hello!` | |
| | `audio` | Audio | WAV audio, 24kHz mono | |
| | `emotions` | string | JSON dict of emotion labels and intensities | |
| | `styles` | string | JSON dict of style labels and intensities | |
|
|
| ## Tiers |
|
|
| - **Tier 1** (3,323 files) — Regenerated with corrected emo_alpha to fix reference speaker leakage |
| - **Tier 2** (933 files) — Medium-risk; recommend spot-checking before training use |
| - **Tier 3** (14,517 files) — Clean; safe for direct training use |
| |
| ## Loading the dataset |
| |
| ```python |
| from datasets import load_dataset |
|
|
| # Load clean tier only |
| ds = load_dataset("nate0001/KionTTS", split="tier3") |
| |
| # Load all tiers |
| ds = load_dataset("nate0001/KionTTS") |
| ``` |
| |
