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@@ -88,7 +88,7 @@ Llama3.1 8B CPT SEA-LIONv3 base model was continued pre-trained on 200B tokens o
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  | Thai | SEA-LION Pile v1 | 10.7 | 5.35 | 10 |
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  | | WangChanBERTa | 8.5 | 4.25 |
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  | | Others | 0.8 | 0.4 |
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- | Filipino - Malay - Tamil | SEA-LION Pile v1, AI4Bharat, Sangraha | 4.28 | 2.14 | 3 |
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  | | Others | 1.72 | 0.86 |
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  | Khmer - Lao - Burmese | SEA-LION Pile v1 | 5.2 | 2.6 | 3 |
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  | | Others | 0.8 | 0.4 |
@@ -103,7 +103,7 @@ Note:
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  We encourage researchers, developers, and language enthusiasts to actively contribute to the enhancement and expansion of SEA-LION. Contributions can involve identifying and reporting bugs, sharing pre-training, instruction, and preference data, improving documentation usability, proposing and implementing new model evaluation tasks and metrics, or training versions of the model in additional Southeast Asian languages. Join us in shaping the future of SEA-LION by sharing your expertise and insights to make these models more accessible, accurate, and versatile. Please check out our GitHub for further information on the call for contributions.
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  ## The Team
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- Chan Adwin, Choa Esther, Cheng Nicholas, Huang Yuli, Lau Wayne, Lee Chwan Ren, Leong Wai Yi, Leong Wei Qi, Limkonchotiwat Peerat, Liu Bing Jie Darius, Montalan Jann Railey, Ng Boon Cheong Raymond, Ngui Jian Gang, Nguyen Thanh Ngan, Ong Brandon, Ong Tat-Wee David, Ong Zhi Hao, Rengarajan Hamsawardhini, Siow Bryan, Susanto Yosephine, Tai Ngee Chia, Tan Choon Meng, Teo Eng Sipp Leslie, Teo Wei Yi, Tjhi William, Teng Walter, Yeo Yeow Tong, Yong Xianbin
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  ## Acknowledgements
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  [AI Singapore](​​https://aisingapore.org/) is a national programme supported by the National Research Foundation, Singapore and hosted by the National University of Singapore. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the National Research Foundation or the National University of Singapore.
 
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  | Thai | SEA-LION Pile v1 | 10.7 | 5.35 | 10 |
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  | | WangChanBERTa | 8.5 | 4.25 |
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  | | Others | 0.8 | 0.4 |
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+ | Filipino - Malay - Tamil | SEA-LION Pile v1, AI4Bharat Sangraha | 4.28 | 2.14 | 3 |
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  | | Others | 1.72 | 0.86 |
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  | Khmer - Lao - Burmese | SEA-LION Pile v1 | 5.2 | 2.6 | 3 |
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  | | Others | 0.8 | 0.4 |
 
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  We encourage researchers, developers, and language enthusiasts to actively contribute to the enhancement and expansion of SEA-LION. Contributions can involve identifying and reporting bugs, sharing pre-training, instruction, and preference data, improving documentation usability, proposing and implementing new model evaluation tasks and metrics, or training versions of the model in additional Southeast Asian languages. Join us in shaping the future of SEA-LION by sharing your expertise and insights to make these models more accessible, accurate, and versatile. Please check out our GitHub for further information on the call for contributions.
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  ## The Team
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+ Chan Adwin, Choa Esther, Cheng Nicholas, Huang Yuli, Hulagadri Adithya Venkatadri, Lau Wayne, Lee Chwan Ren, Leong Wai Yi, Leong Wei Qi, Limkonchotiwat Peerat, Liu Bing Jie Darius, Montalan Jann Railey, Ng Boon Cheong Raymond, Ngui Jian Gang, Nguyen Thanh Ngan, Ong Brandon, Ong Tat-Wee David, Ong Zhi Hao, Rengarajan Hamsawardhini, Siow Bryan, Susanto Yosephine, Tai Ngee Chia, Tan Choon Meng, Teo Eng Sipp Leslie, Teo Wei Yi, Tjhi William, Teng Walter, Yeo Yeow Tong, Yong Xianbin
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  ## Acknowledgements
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  [AI Singapore](​​https://aisingapore.org/) is a national programme supported by the National Research Foundation, Singapore and hosted by the National University of Singapore. Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not reflect the views of the National Research Foundation or the National University of Singapore.