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@@ -27,13 +27,6 @@ dataset_info:
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  dtype: string
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  - name: styles
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  dtype: string
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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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  - config_name: default
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  data_files:
@@ -52,27 +45,29 @@ generated with IndexTTS2 using emotion and style conditioning.
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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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-
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  | Field | Type | Description |
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  |-------|------|-------------|
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- | uid=1000(nate) gid=1000(nate) groups=1000(nate),950(docker),954(libvirt),984(uucp),990(kvm),998(wheel),1001(sdkusers),1002(Kion),1003(caelestia),1004(Ki0n),1005(dialout) | string | Unique 8-char hex ID |
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- | | string | Quality tier: (regenerated), (spot-check), (clean) |
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- | | string | Full text with inline emotion tags e.g. |
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- | | Audio | WAV audio, 24kHz mono |
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- | | string | JSON dict of emotion labels and intensities |
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- | | string | JSON dict of style labels and intensities |
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  ## Tiers
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- - **Tier 1** (3,323 files) — Regenerated with fixed to eliminate reference speaker leakage
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- - **Tier 2** (933 files) — Medium-risk files, recommended for spot-checking before use
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- - **Tier 3** (14,517 files) — Clean files, safe for direct training use
 
 
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- ## Emotion / Style Tags
 
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- Emotions: , , , , , , ,
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- , , , , , ,
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- Styles: , , , , , ,
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- , , ,
 
 
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  dtype: string
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  - name: styles
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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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+
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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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+ ```