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--- |
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license: mit |
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task_categories: |
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- text-classification |
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language: |
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- en |
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- ur |
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tags: |
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- urdu |
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- english |
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- urdu poetry |
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pretty_name: Urdu |
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size_categories: |
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- 1K<n<10K |
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--- |
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# English Transliteration (Roman Urdu) of Urdu Poetry Dataset |
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Welcome to the **English Transliteration (Roman Urdu) of Urdu Poetry Dataset**! This dataset provides a collection of Urdu poetry transliterated into Roman script, making the rich literary heritage of Urdu accessible to a broader audience. Each entry in the dataset includes two columns: |
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- **Title:** The transliterated title of the poem in Roman Urdu. |
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- **Poem:** The full text of the poem in Roman Urdu. |
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This dataset is ideal for researchers and developers working on transliteration models, text generation, cross-lingual studies, and cultural analysis. |
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## Dataset Overview |
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The **English Transliteration (Roman Urdu) of Urdu Poetry Dataset** offers a diverse array of Urdu poems that have been converted into Roman script (commonly known as Roman Urdu). By providing both the title and the complete poem in a familiar script, the dataset serves as a valuable resource for: |
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- **Transliteration research:** Evaluating and training models to convert text between scripts. |
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- **Text generation:** Building language models capable of generating poetic text. |
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- **Comparative literary studies:** Analyzing poetic forms, themes, and cultural expressions in Urdu literature. |
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Each record in the dataset contains: |
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- **Poem Title:** The title of the poem, transliterated into Roman Urdu. |
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- **Poem Text:** The complete text of the poem in Roman Urdu. |
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## Data Format |
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The dataset is available in standard tabular formats such as CSV or JSON. Each entry includes the following columns: |
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- **title** (`string`): The transliterated title of the poem. |
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- **poem** (`string`): The full text of the poem, transliterated into Roman Urdu. |
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*Example (CSV format):* |
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```csv |
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title,poem |
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"Dil Ki Kitaab","Yeh ishq nahin aasan, bas itna samajh lijiye..." |
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"Phoolon Ka Silsila","Khushbuon ki mehfil mein, ek phool dastaan kehta hai..." |
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How to Load the Dataset |
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You can easily load the dataset using the Hugging Face Datasets library. Below is an example in Python: |
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python |
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from datasets import load_dataset |
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# Replace 'your-username/roman-urdu-poetry' with the actual repository name on Hugging Face Hub |
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dataset = load_dataset("your-username/roman-urdu-poetry") |
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# Accessing the train split (if applicable, otherwise adjust accordingly) |
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print(dataset['train'][0]) |
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Note: Make sure you have installed the datasets library: |
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bash |
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pip install datasets |
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Intended Use Cases |
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Transliteration Research: Develop and evaluate models for transliterating text between scripts. |
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Text Generation: Train language models to generate poetry in Roman Urdu. |
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Cross-Lingual Analysis: Examine stylistic and cultural variations in poetic expression. |
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Literary Studies: Explore themes, structures, and narrative techniques in Urdu poetry through a transliterated lens. |
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License |
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This dataset is distributed under the MIT License. See the LICENSE file for more details. |
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Contributing |
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Contributions are welcome! If you have additional data, improvements, or suggestions, please open an issue or submit a pull request on the GitHub repository. |
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Citation |
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If you use this dataset in your research, please consider citing it as follows: |
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bibtex |
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@dataset-ReySajju742/English-Urdu-Dataset, |
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author = Sajjad Rasool, |
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title = English Transliteration (Roman Urdu) of Urdu Poetry Dataset, |
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year = 2025, |
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publisher = ReySajju742, |
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url = https://huggingface.co/datasets/ReySajju742/English-Urdu-Dataset, |
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} |
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Contact |
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For any questions, suggestions, or issues, please contact [email protected] |
