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README.md
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---
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license:
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---
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---
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license: mit
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task_categories:
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- text-to-speech
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language:
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- en
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tags:
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- audio
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- tts
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- synthetic
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- emotion
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- kion
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pretty_name: KionTTS Dataset
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size_categories:
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- 10K<n<100K
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dataset_info:
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features:
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- name: id
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dtype: string
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- name: tier
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dtype: string
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- name: text
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dtype: string
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- name: audio
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dtype: audio
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- name: emotions
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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:
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- split: tier1
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path: data/tier1/*.parquet
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- split: tier2
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path: data/tier2/*.parquet
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- split: tier3
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path: data/tier3/*.parquet
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---
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# KionTTS Dataset
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Synthetic TTS training dataset for **Kion** (Kognetive Intelligence Orchestration Node),
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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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| 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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