humair025/Urdu-ONYX-WAV-Annoted

Urdu ONYX WAV Annotated Dataset

This dataset is an enhanced version of humair025/Urdu-ONYX-WAV-real with added phoneme annotations using the urdu-g2p library.

Features

Column	Description
id	Sample ID
transcript	Original Urdu transcript
voice	Voice type (onyx)
text	Text content
timestamp	Recording timestamp
audio	Audio file (WAV format)
phonemes	Space-separated IPA phonemes with stress markers
phonemes_no_stress	Space-separated IPA phonemes without stress
phonemes_list	List of individual phonemes
phoneme_count	Number of phonemes in the text

Usage

from datasets import load_dataset

# Load dataset
dataset = load_dataset("humair025/Urdu-ONYX-WAV-Annoted")

# Access a sample
sample = dataset['train'][0]
print(f"Text: {sample['text']}")
print(f"Phonemes: {sample['phonemes']}")
print(f"Count: {sample['phoneme_count']}")

# Listen to audio
from IPython.display import Audio
Audio(sample['audio']['array'], rate=sample['audio']['sampling_rate'])

Processing Details

• Phoneme conversion performed using urdu-g2p
• Processing date: 2026-01-20
• Batch size: 2000 rows per batch
• Memory-efficient processing: 3 arrow files at a time
• Format: Arrow (preserves audio for playback in dataset viewer)

Source

Original dataset: humair025/Urdu-ONYX-WAV-real

Citation

If you use this dataset, please cite the original source and the urdu-g2p library.

@misc{urdu-onyx-wav-annotated,
  title={Urdu ONYX WAV Annotated Dataset},
  author={Humair},
  year={2025},
  publisher={HuggingFace},
  url={https://huggingface.co/datasets/humair025/Urdu-ONYX-WAV-Annoted}
}

License

MIT License