---
license: mit
task_categories:
- text-classification
language:
- hi
- ur
tags:
- urdu
- hindi
- urdu translitration
pretty_name: Urdu-Hindi Data
size_categories:
- 1K<n<10K
---
# Hindi Transliteration of Urdu Poetry Dataset

Welcome to the **Hindi Transliteration of Urdu Poetry Dataset**! This dataset features Hindi transliterations of traditional Urdu poetry. Each entry in the dataset includes two columns:
- **Title:** The transliterated title of the poem in Hindi.
- **Poem:** The transliterated text of the Urdu poem rendered in Hindi script.

This dataset is perfect for researchers and developers working on cross-script language processing, transliteration models, and comparative literary studies.

---

## Dataset Overview

This dataset offers a rich collection of Urdu poetry, transliterated into Hindi. By providing both the title and the complete poem in Hindi script, it aims to bridge the gap between Urdu literature and Hindi readers. The dataset is structured in a tabular format, making it easy to work with using popular data processing tools.

Each record contains:
- **Poem Title:** The title of the poem, transliterated into Hindi.
- **Poem Text:** The full poem text, transliterated into Hindi.

---

## Data Format

The dataset is available in standard tabular formats such as CSV or JSON. Each entry includes the following columns:

- **title** (`string`): The transliterated title of the poem.
- **poem** (`string`): The transliterated full text of the poem.

*Example (CSV format):*
```csv
title,poem
"दिल की किताब","यह इश्क़ नहीं आसान, बस इतना समझ लीजिये..."
"फूलों का सिलसिला","खुशबुओं की महफ़िल में, एक फूल कहानी कहता है..."
How to Load the Dataset
You can easily load the dataset using the Hugging Face Datasets library. Below is an example in Python:

python
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from datasets import load_dataset

# Replace 'your-username/hindi-transliteration-urdu-poetry' with the actual repository name on Hugging Face Hub
dataset = load_dataset("your-username/hindi-transliteration-urdu-poetry")

# Accessing the train split (if applicable, otherwise adjust accordingly)
print(dataset['train'][0])
Note: Ensure that you have the datasets library installed:

bash
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pip install datasets
Intended Use Cases
Transliteration Research: Develop and evaluate models for transliterating text between scripts.
Cross-Lingual Studies: Analyze similarities and differences in poetic expression across languages.
Text Generation: Train language models for generating poetry in Hindi using transliterated content.
Cultural and Literary Studies: Explore themes, styles, and cultural narratives in Urdu poetry made accessible to Hindi readers.
License
This dataset is distributed under the MIT License. See the LICENSE file for more details.

Contributing
Contributions to the dataset are welcome! If you have improvements, additional data, or suggestions, please open an issue or submit a pull request on the GitHub repository.

Citation
If you find this dataset useful in your work, please consider citing it. For example:

bibtex
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@dataset{yourusername2025hinditranslit,
  author       = {Your Name},
  title        = {Hindi Transliteration of Urdu Poetry Dataset},
  year         = {2025},
  publisher    = {Hugging Face},
  url          = {https://huggingface.co/datasets/your-username/hindi-transliteration-urdu-poetry},
}
Contact
For any questions, suggestions, or issues, please contact your.email@example.com