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README.md

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 # Pralekha
 
 PRALEKHA is a large-scale benchmark for evaluating document-level alignment techniques. It includes 2M+ documents, covering 11 Indic languages and English, with a balanced mix of aligned and unaligned pairs.
-[![Arxiv](https://img.shields.io/badge/arXiv-2411.19096-B31B1B)](https://arxiv.org/abs/2411.19096)  
-[![HuggingFace](https://img.shields.io/badge/huggingface-Pralekha-yellow)](https://huggingface.co/datasets/ai4bharat/Pralekha)  
-[![GitHub](https://img.shields.io/badge/github-Pralekha-blue)](https://github.com/AI4Bharat/Pralekha)
+[![arXiv](https://img.shields.io/badge/arXiv-2411.19096-B31B1B)](https://arxiv.org/abs/2411.19096) [![HuggingFace](https://img.shields.io/badge/huggingface-Pralekha-yellow)](https://huggingface.co/datasets/ai4bharat/Pralekha) [![GitHub](https://img.shields.io/badge/github-Pralekha-blue)](https://github.com/AI4Bharat/Pralekha)
 
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 ## Dataset Description
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 - **`doc_id`:** Unique identifier for individual documents.
 - **`lang`:** Language of the document (ISO-3 code).
 - **`text`:** The textual content of the document.
+
+---
+
+## License
+
+This dataset is released under the **CC BY 4.0** license. For more information, see [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/).
+
+---
+
+## Contact
+
+For any questions or feedback, please contact:
+
+- Raj Dabre ([raj.dabre@cse.iitm.ac.in](mailto:raj.dabre@cse.iitm.ac.in))  
+- Sanjay Suryanarayanan ([sanj.ai@outlook.com](mailto:sanj.ai@outlook.com))  
+- Haiyue Song ([haiyue.song@nict.go.jp](mailto:haiyue.song@nict.go.jp))  
+- Mohammed Safi Ur Rahman Khan ([safikhan2000@gmail.com](mailto:safikhan2000@gmail.com))  
+
+Please get in touch with us for any copyright concerns.
+
+---