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title: IndicVerse
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# π IndicVerse
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IndicVerse is dedicated to advancing natural language processing (NLP) capabilities for Indic languages. Our mission is to bridge the gap in NLP research for low-resource Indic languages by providing high-quality datasets, pre-trained models, and tools tailored for diverse linguistic needs.
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## π What We Do
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- **Datasets**: Creation and publication of datasets for various NLP tasks, including translation, classification, and generation, with a focus on Indic languages.
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- **Models**: Development of state-of-the-art NLP models fine-tuned for Indic languages, leveraging techniques like PEFT and LoRA.
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- **Research**: Conducting and sharing research to solve key challenges in Indic NLP, including transliteration, low-resource learning, and domain-specific applications.
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## π Featured Projects
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- **Hellaswag-Telugu**: A Telugu version of the Hellaswag dataset for advanced evaluation.
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- **Indic Language Translation and Transliteration**: Custom tools and APIs for translation and mixed transliteration (Telugu-English).
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## π οΈ How to Contribute
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We welcome contributions! Whether youβre interested in annotating data, building models, or sharing insights, feel free to get in touch.
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## π Links
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- [Hugging Face Hub](https://huggingface.co/IndicVerse)
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## π Citation
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If you use our datasets or models in your research, please cite us as follows:
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```
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@misc{IndicVerse2024,
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author = {Nikhil Chowdary Paleti and Divi Eswar Chowdary},
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title = {Indic Verse: Datasets and Models for Advancing Indic Languages in NLP},
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year = {2024},
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publisher = {Hugging Face},
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url = {https://huggingface.co/IndicVerse}
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}
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```
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