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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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- zero-shot-classification |
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- token-classification |
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language: |
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- te |
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- en |
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tags: |
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- telugu |
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- language |
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- nlp |
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pretty_name: Telugu Chandassu |
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size_categories: |
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- 1K<n<10K |
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--- |
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First ever dataset for "Chandassu", metrical poetry in Telugu Language (తెలుగు చంధస్సు). </br> |
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arXiv Preprint: [Read Here](https://arxiv.org/abs/2510.01233) |
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Our algorithm achieves **91.73% accuracy** on the proposed Chandassu Score. |
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## Getting Started |
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```py |
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from datasets import load_dataset |
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data= load_dataset( "BodduSriPavan111/chandassu", split= "train" ) |
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df= data.to_pandas() |
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print( df.shape ) |
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``` |
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## Description |
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Chandassu dataset comprises **4,651** carefully curated Telugu padyams spanning three primary prosodic classes (Vruttamu, Jaathi, Vupajaathi) and eight distinct types (Vutpalamaala, Champakamaala, Saardulamu, Mattebhamu, Kandamu, Teytageethi, Aataveladi, Seesamu). |
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Each entry in the dataset contains the following structured attributes: |
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- **type:** Type of Padyam </br> |
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- **padyam:** Padyam text </br> |
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- **class:** Class of padyam </br> |
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- **satakam:** Satakam that the padyam belongs to </br> |
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- **lg_data:** LaghuvuGuruvu data </br> |
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- **chandassu_score:** Proposed metric to evaluate padyam with given type</br> |
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- **n_aksharaalu_score:** Ratio of number of aksharam tokens present in given input text to the number of expected aksharam tokens in particular padyam. </br> |
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- **n_paadalu_score:** Ratio of number of paadams found in the given input text to the expected number of paadams in the padyam. </br> |
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- **gana_kramam_score:** Ratio of total number of ganams matched sequentially to the total expected number of ganams for the padyam. </br> |
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- **yati_score:** : Ratio of number of paadams of yati match to the total number of paadams expected to satisfy yati in the padyam. </br> |
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- **prasa_score** Ratio of frequency of modal prasa aksharam token to the expected number of paadams for the padyam. </br> |
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## Eager to Contribute? |
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Any data, features, refactoring or **your innovative thought**, please check <a href= "https://github.com/BodduSriPavan-111/chandassu/blob/main/CONTRIBUTING.md">here</a>. |
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## Acknowledgements |
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Special thanks to Sesha Sai Vadapalli and Kalepu Nagabhushana Rao, maintainers of [andhrabharati.com](https://andhrabharati.com/). </br> |
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Appana Mohan Naga Phani Kumar for proofreading our article. </br> |
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Sincere gratitude to our parents and family members for their continuous support throughout this work. </br> |
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This work was undertaken with the grace of Sri Ramalinga Chowdeswari Devi. |
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## Citation |
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>@misc{pavan2025computationalsociallinguisticstelugu, </br> |
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> title={Computational Social Linguistics for Telugu Cultural Preservation: Novel Algorithms for Chandassu Metrical Pattern Recognition}, </br> |
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> author={Boddu Sri Pavan and Boddu Swathi Sree}, </br> |
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> year={2025}, </br> |
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> eprint={2510.01233}, </br> |
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> archivePrefix={arXiv}, </br> |
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> primaryClass={cs.CL}, </br> |
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> url={https://arxiv.org/abs/2510.01233}, </br> |
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>} |
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## Thank You ! |
