| --- |
| 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](https://huggingface.co/LiquidAI/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")`), not `Audio` feature, |
| > to avoid the `torchcodec` dependency. Decode with `soundfile` in your training code. |
|
|
| ## System Prompt |
|
|
| ``` |
| Perform TTS in Japanese. Use a natural Japanese female voice. |
| ``` |
|
|
| ## Usage in step2_train_liquid_audio.py |
| |
| ```python |
| 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 |
| ``` |
| |
