Update README.md

README.md

@@ -176,7 +176,7 @@ Sangraha is the largest high-quality, cleaned Indic language pretraining data co
 
 **More information**:
 
-- For detailed information on the curation and cleaning process of Sangraha, please checkout our paper [on Arxiv](https://arxiv.org/);
+- For detailed information on the curation and cleaning process of Sangraha, please checkout our paper [on Arxiv](https://arxiv.org/abs/2403.06350);
 - Check out the scraping and cleaning pipelines used to curate Sangraha [on GitHub](https://github.com/AI4Bharat/IndicLLMSuite);
 
 ## Getting Started
@@ -226,12 +226,12 @@ Sangraha contains three broad components:
 To cite Sangraha, please use:
 
 ```
-@misc{cerebras2023slimpajama,
-  author = {Soboleva, Daria and Al-Khateeb, Faisal and Myers, Robert and Steeves, Jacob R and Hestness, Joel and Dey, Nolan},
-  title = {{SlimPajama: A 627B token cleaned and deduplicated version of RedPajama}},
-  month = June,
-  year = 2023,
-  howpublished = {\url{https://www.cerebras.net/blog/slimpajama-a-627b-token-cleaned-and-deduplicated-version-of-redpajama}},
-  url = {https://huggingface.co/datasets/cerebras/SlimPajama-627B},
+@misc{khan2024indicllmsuite,
+      title={IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages}, 
+      author={Mohammed Safi Ur Rahman Khan and Priyam Mehta and Ananth Sankar and Umashankar Kumaravelan and Sumanth Doddapaneni and Suriyaprasaad G and Varun Balan G and Sparsh Jain and Anoop Kunchukuttan and Pratyush Kumar and Raj Dabre and Mitesh M. Khapra},
+      year={2024},
+      eprint={2403.06350},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
 }
 ```