anke01/uyghur-common-voice-tts

Uyghur Common Voice TTS Dataset

A cleaned and processed Text-to-Speech (TTS) dataset for the Uyghur language, derived from Mozilla Common Voice.

Dataset Summary

Property	Value
Language	Uyghur (ug)
Total Samples	43,054
Train Samples	40,901
Validation Samples	2,153
Audio Format	WAV
Source	Mozilla Common Voice
License	CC0-1.0

Dataset Structure

/
├── train.jsonl          # Training data (40,901 samples)
├── val.jsonl            # Validation data (2,153 samples)
├── wavs/               # Audio files (43,054 WAV files)
│   └── common_voice_ug_*.wav
├── ref_audio/
│   └── reference.wav   # Reference audio for voice cloning
└── README.md

Data Format

Each line in train.jsonl / val.jsonl is a JSON object with:

Field	Description
audio	Path to the WAV audio file
text	Transcription text in Uyghur script
ref_audio	Path to reference audio file
g2p_text	Phonetic transcription (IPA format)

Example

{"audio": "wavs/common_voice_ug_39468550.wav", "text": "مېنىڭدە خېلى مال", "ref_audio": "ref_audio/reference.wav", "g2p_text": "meniŋdɛ χeli mal"}

Usage

from datasets import load_dataset

dataset = load_dataset("anke01/uyghur-common-voice-tts")
print(f"Train: {len(dataset['train'])} samples")
print(f"Validation: {len(dataset['validation'])} samples")

Citation

@misc{uyghur-common-voice-tts,
  author = {anke01},
  title = {Uyghur Common Voice TTS Dataset},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/anke01/uyghur-common-voice-tts}
}