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