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README.md
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license: apache-2.0
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---
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license: apache-2.0
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task_categories:
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- text-to-audio
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- text-to-speech
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language:
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- ur
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tags:
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- urdu
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- tts
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- g2p
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pretty_name: zuhri
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---
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# Zuhri — Urdu G2P Dataset
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**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.
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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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---
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## 🔤 What is G2P?
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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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---
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## 📁 Dataset Contents
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The dataset is stored in the `data/` directory as a CSV file. Each row in the file contains the following five columns:
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```
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Word, Phoneme Sequence (space-separated), IPA Transcription, Verified (True/False), Frequency Rank
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```
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### 📋 Sample Data Preview
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| Word | Phonemes | IPA | Verified | Rank |
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|-------------|------------------------|--------------------|----------|------|
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| عائشہ | ʕ aː ɪ ʃ ə | /ʕaːˈɪʃə/ | True | 1 |
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| عطیہ | ʕ ʈ iː j ə | /ʕʈiːˈjə/ | True | 1 |
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| طور | t̪ uː r | /t̪uːr/ | True | 1 |
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| اردو | ʊ r d uː | /ʊrˈduː/ | True | 1 |
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| اللہ | ɑ l l aː h | /ɐlˈlɑːh/ | True | 1 |
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---
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## 🎯 Applications
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This dataset is useful for:
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- Urdu Text-to-Speech (TTS) systems
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- Automatic Speech Recognition (ASR)
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- Phonetic alignment and transcription
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- Linguistic and phonological research
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- Speech technology applications in Urdu
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---
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## 🚀 Getting Started
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### 1. Clone the Repository
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```bash
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git clone https://github.com/humair-m/zuhri.git
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cd zuhri
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```
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### 2. Load the Dataset in Python
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```python
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import pandas as pd
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# Load the Urdu G2P dataset
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df = pd.read_csv("data/urdu_g2p.csv")
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# Display the first few rows
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print(df.head())
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```
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---
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## 📚 Citation
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If you use this dataset in your research, please cite it as follows:
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### 📌 Plain Text
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```
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Humair Munir. URDU G2P: Zuhri Urdu Grapheme-to-Phoneme Dataset. Version 1.0, 2025. Licensed under Apache 2.0.
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```
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### 📌 BibTeX
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```bibtex
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@humair-pc{humair2025urdug2p,
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author = {Humair Munir},
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title = {{URDU G2P: Zuhri Urdu Grapheme-to-Phoneme Dataset}},
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year = {2025},
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version = {1.0},
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howpublished = {\url{https://github.com/humair-m/zuhri}},
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note = {Apache License 2.0}
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}
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```
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> 📧 For academic queries, contact: **[email protected]**
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---
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## 📜 License
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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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---
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## 🤝 Contributing
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We welcome contributions from the community! You can:
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- Suggest corrections or improvements in phoneme alignments
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- Add more verified Urdu words
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- Extend the dataset for regional dialects
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- Submit pull requests for related G2P tools or training scripts
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Please open an issue to discuss your suggestions before submitting a PR.
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---
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## 📬 Contact
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For questions, support, or collaborations, feel free to reach out:
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📧 **Email**: [email protected]
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---
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## 🧠 Acknowledgment
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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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---
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