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README.md
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@@ -36,4 +36,39 @@ The Internet is rife with potentially toxic or biased data. We have attempted to
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The open-source release of the SkyPile-150B dataset represents our commitment to enhancing access to high-quality web data, which has traditionally been a closely guarded resource among model developers. We believe that this release will foster greater accessibility and the proliferation of high-performance large language models, thereby contributing significantly to the advancement of the field.
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## License Agreement
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The community usage of SkyPile dataset requires Skywork Community License. The SkyPile dataset supports commercial use. If you plan to use the Skywork model or its derivatives for commercial purposes, you must abide by terms and conditions within Skywork Community License as well as Apache2.0.
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The open-source release of the SkyPile-150B dataset represents our commitment to enhancing access to high-quality web data, which has traditionally been a closely guarded resource among model developers. We believe that this release will foster greater accessibility and the proliferation of high-performance large language models, thereby contributing significantly to the advancement of the field.
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## License Agreement
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The community usage of SkyPile dataset requires Skywork Community License. The SkyPile dataset supports commercial use. If you plan to use the Skywork model or its derivatives for commercial purposes, you must abide by terms and conditions within Skywork Community License as well as Apache2.0.
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## Contact Us and Citation
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If you find our work helpful, please feel free to cite our paper~
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```
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@misc{wei2023skywork,
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title={Skywork: A More Open Bilingual Foundation Model},
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author={Tianwen Wei and Liang Zhao and Lichang Zhang and Bo Zhu and Lijie Wang and Haihua Yang and Biye Li and Cheng Cheng and Weiwei Lü and Rui Hu and Chenxia Li and Liu Yang and Xilin Luo and Xuejie Wu and Lunan Liu and Wenjun Cheng and Peng Cheng and Jianhao Zhang and Xiaoyu Zhang and Lei Lin and Xiaokun Wang and Yutuan Ma and Chuanhai Dong and Yanqi Sun and Yifu Chen and Yongyi Peng and Xiaojuan Liang and Shuicheng Yan and Han Fang and Yahui Zhou},
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year={2023},
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eprint={2310.19341},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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```
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@article{skyworkmath,
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title={SkyMath: Technical Report},
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author={Liu Yang, Haihua Yang, Wenjun Cheng, Lei Lin, Chenxia Li, Yifu Chen, Lunan Liu, Jianfei Pan, Tianwen Wei, Biye Li, Liang Zhao, Lijie Wang, Bo Zhu, Guoliang Li, Xuejie Wu, Xilin Luo, Rui Hu},
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journal={arXiv preprint arXiv: 2310.16713},
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url={https://arxiv.org/abs/2310.16713},
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year={2023}
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}
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```
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```
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@article{Skywork_Multi-Modal_Group_Empirical_Study_Towards_2023,
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author = {Skywork Multi-Modal Group},
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month = sep,
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title = {{Empirical Study Towards Building An Effective Multi-Modal Large Language Model}},
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year = {2023}
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}
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```
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