Datasets:
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README.md
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splits:
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- name: tier1
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num_examples: 3323
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- name: tier2
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num_examples: 933
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- name: tier3
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num_examples: 14517
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configs:
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data_files:
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## Dataset Structure
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Each row contains a spoken utterance with its text transcript, emotion/style tags, and audio.
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| Field | Type | Description |
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## Tiers
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- **Tier 1** (3,323 files) — Regenerated with
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- **Tier 2** (933 files) — Medium-risk
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- **Tier 3** (14,517 files) — Clean
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dtype: string
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configs:
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- config_name: default
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data_files:
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## Dataset Structure
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| Field | Type | Description |
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|-------|------|-------------|
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| `id` | string | Unique 8-char hex ID |
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| `tier` | string | `tier1` (regenerated fixes), `tier2` (spot-check), `tier3` (clean) |
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| `text` | string | Full text with inline emotion tags e.g. `[happy=0.7] Hello!` |
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| `audio` | Audio | WAV audio, 24kHz mono |
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| `emotions` | string | JSON dict of emotion labels and intensities |
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| `styles` | string | JSON dict of style labels and intensities |
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## Tiers
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- **Tier 1** (3,323 files) — Regenerated with corrected emo_alpha to fix reference speaker leakage
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- **Tier 2** (933 files) — Medium-risk; recommend spot-checking before training use
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- **Tier 3** (14,517 files) — Clean; safe for direct training use
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## Loading the dataset
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```python
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from datasets import load_dataset
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# Load clean tier only
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ds = load_dataset("nate0001/KionTTS", split="tier3")
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# Load all tiers
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ds = load_dataset("nate0001/KionTTS")
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```
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