RikkaBotan/nyan-jenny-format

Nyan Jenny Format

A Japanese text-to-speech (TTS) dataset in Jenny TTS format, derived from the multilingual_toxicity_dataset (Japanese split). Toxic words identified by DeepSeek V3 Pro are replaced with 「にゃん」(nyan) before audio synthesis, producing naturally-sounding speech that masks harmful content.

Dataset Summary

This dataset was created through the following pipeline:

1. 1.Source data — The Japanese split of textdetox/multilingual_toxicity_dataset (5 k samples: 2.5 k toxic, 2.5 k non-toxic).
2. 2.Toxic-word annotation — DeepSeek V3 Pro was used to identify toxic words and phrases within each toxic sample.
3. 3.Substitution — Every annotated toxic word is replaced with「にゃん」, producing text that retains the original sentence structure while masking offensive content.
4. 4.Speech synthesis — All texts (substituted toxic samples and original clean samples) are synthesized into audio with irodori TTS v3 600 M (voicedesign).
5. 5.Formatting — The resulting audio and transcriptions are organized in the Jenny TTS column schema for compatibility with Jenny-based TTS training pipelines.

Dataset Details

Data Fields

Usage

from datasets import load_dataset

ds = load_dataset("RikkaBotan/nyan-jenny-format")

# Inspect a few samples
for sample in ds["train"].select(range(5)):
    print(sample["file_name"], "|", sample["transcription"])
    # sample["audio"] contains {"array": ..., "sampling_rate": ...}

Intended use

• —Fine-tuning or training Japanese TTS models using the Jenny format.
• —Research on speech synthesis with masked/detoxified text.
• —Evaluation of TTS robustness with unusual token sequences (「にゃん」substitutions).

Source Dataset

textdetox/multilingual_toxicity_dataset

TTS Model

Audio was generated with Aratako/Irodori-TTS-600M-v3-VoiceDesign, a Japanese neural TTS system.

Limitations and Biases

• —Residual context — While individual toxic words are replaced, the surrounding sentence context may still reflect the original tone or topic of toxic content.
• —Synthesis artifacts — 「にゃん」substitutions may cause prosodic inconsistencies in synthesized speech, as the TTS model was not specifically trained on this token distribution.
• —Single speaker — All audio is generated from a single TTS voice; speaker diversity is absent.
• —Japanese only — Despite the multilingual source dataset, this release covers only the Japanese (ja) split.

License

This dataset inherits license constraints from the source data (openrail++) and the irodori TTS model. Please review the terms of both before redistribution or commercial use.