Datasets:

nate0001
/

KionTTS

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

from datasets import load_dataset

# Load clean tier only
ds = load_dataset("nate0001/KionTTS", split="tier3")

# Load all tiers
ds = load_dataset("nate0001/KionTTS")