Datasets:
metadata
language:
- ja
task_categories:
- text-to-speech
tags:
- liquid-audio
- tts
- japanese
- irodori-tts
license: openrail++
Japanese TTS Dataset for Liquid Audio Fine-tuning
Generated by Irodori-TTS-600M-v3-VoiceDesign and formatted for LFM2.5-Audio-1.5B fine-tuning.
Dataset Structure
| Split | Samples |
|---|---|
| train | 9322 |
| validation | 491 |
Columns
| Column | Type | Description |
|---|---|---|
id |
string | Sample identifier |
source_type |
string | toxic_to_clean or identity |
system_prompt |
string | Voice style instruction |
input_text |
string | Input text (user turn) |
target_text |
string | Target text (assistant turn) |
input_audio |
binary | Input WAV bytes (Irodori-synthesized) |
target_audio |
binary | Target WAV bytes ← used in fine-tuning |
topic |
string | Topic label (identity samples only) |
Note: audio columns are raw WAV bytes (
Value("binary")), notAudiofeature, to avoid thetorchcodecdependency. Decode withsoundfilein your training code.
System Prompt
Perform TTS in Japanese. Use a natural Japanese female voice.
Usage in step2_train_liquid_audio.py
import io, soundfile as sf
def wav_bytes_to_array(b: bytes):
arr, sr = sf.read(io.BytesIO(b), dtype="float32", always_2d=False)
return arr, sr