README.md

metadata

license: apache-2.0
task_categories:
  - text-to-audio
  - text-to-speech
language:
  - ur
tags:
  - urdu
  - tts
  - g2p
pretty_name: zuhri

Zuhri — Urdu G2P Dataset

Zuhri is a comprehensive and manually verified Urdu Grapheme-to-Phoneme (G2P) dataset. It is designed to aid research and development in areas such as speech synthesis, pronunciation modeling, and computational linguistics, specifically for the Urdu language.

This dataset provides accurate phoneme transcriptions and IPA representations, making it ideal for use in building high-quality TTS (Text-to-Speech), ASR (Automatic Speech Recognition), and other phonetics-related systems.

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🔤 What is G2P?

Grapheme-to-Phoneme (G2P) conversion is the task of translating written text (graphemes) into spoken sounds (phonemes). G2P is crucial for generating natural-sounding speech from text and for correct pronunciation modeling in voice-driven technologies.

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📁 Dataset Contents

The dataset is stored in the data/ directory as a CSV file. Each row in the file contains the following five columns:

Word, Phoneme Sequence (space-separated), IPA Transcription, Verified (True/False), Frequency Rank

📋 Sample Data Preview

Word	Phonemes	IPA	Verified	Rank
عائشہ	ʕ aː ɪ ʃ ə	/ʕaːˈɪʃə/	True	1
عطیہ	ʕ ʈ iː j ə	/ʕʈiːˈjə/	True	1
طور	t̪ uː r	/t̪uːr/	True	1
اردو	ʊ r d uː	/ʊrˈduː/	True	1
اللہ	ɑ l l aː h	/ɐlˈlɑːh/	True	1

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🎯 Applications

This dataset is useful for:

• Urdu Text-to-Speech (TTS) systems
• Automatic Speech Recognition (ASR)
• Phonetic alignment and transcription
• Linguistic and phonological research
• Speech technology applications in Urdu

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🚀 Getting Started

1. Clone the Repository

git clone https://github.com/humair-m/zuhri.git
cd zuhri

2. Load the Dataset in Python

import pandas as pd

# Load the Urdu G2P dataset
df = pd.read_csv("data/urdu_g2p.csv")

# Display the first few rows
print(df.head())

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📚 Citation

If you use this dataset in your research, please cite it as follows:

📌 Plain Text

Humair Munir. URDU G2P: Zuhri Urdu Grapheme-to-Phoneme Dataset. Version 1.0, 2025. Licensed under Apache 2.0.

📌 BibTeX

@humair-pc{humair2025urdug2p,
  author       = {Humair Munir},
  title        = {{URDU G2P: Zuhri Urdu Grapheme-to-Phoneme Dataset}},
  year         = {2025},
  version      = {1.0},
  howpublished = {\url{https://github.com/humair-m/zuhri}},
  note         = {Apache License 2.0}
}

📧 For academic queries, contact: [email protected]

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📜 License

This dataset is released under the Apache License 2.0. You are free to use, modify, and distribute it under the terms of this license. See the LICENSE file for full details.

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🤝 Contributing

We welcome contributions from the community! You can:

• Suggest corrections or improvements in phoneme alignments
• Add more verified Urdu words
• Extend the dataset for regional dialects
• Submit pull requests for related G2P tools or training scripts

Please open an issue to discuss your suggestions before submitting a PR.

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📬 Contact

For questions, support, or collaborations, feel free to reach out:

📧 Email: [email protected]

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🧠 Acknowledgment

This dataset is part of an ongoing effort to support low-resource languages like Urdu in the field of speech and language technologies. Thank you to the open-source community for continuous support and feedback.

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