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@@ -22,6 +22,15 @@ 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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  ## 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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  Our algorithm achieves **91.73% accuracy** on the proposed Chandassu Score.
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+ ## Getting Started
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+
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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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+
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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).