TIGER-Lab/SKGInstruct

Dataset

πŸ—οΈ StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

28

15 commits

2 linked in READMEs

updated Apr 9, 2024

See the code

README

πŸ—οΈ StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

SKGInstruct is an instruction tuning dataset constructed from 19 structured knowledge grounding datasets, mixed with πŸ€— SlimOrca

Project Page: https://tiger-ai-lab.github.io/StructLM/

Paper: https://arxiv.org/pdf/2402.16671.pdf

Code: https://github.com/TIGER-AI-Lab/StructLM

Models:

7B | StructLM-7B

13B | StructLM-13B

34B | StructLM-34B

License

Citation

Please cite our paper if you use our data, model or code. Please also kindly cite the original dataset papers.

@misc{zhuang2024structlm,
      title={StructLM: Towards Building Generalist Models for Structured Knowledge Grounding}, 
      author={Alex Zhuang and Ge Zhang and Tianyu Zheng and Xinrun Du and Junjie Wang and Weiming Ren and Stephen W. Huang and Jie Fu and Xiang Yue and Wenhu Chen},
      year={2024},
      eprint={2402.16671},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
code

Contributors

azhx

15 commits

TIGER-Lab/SKGInstruct

Dataset

πŸ—οΈ StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

28

15 commits

2 linked in READMEs

updated Apr 9, 2024

See the code

README

πŸ—οΈ StructLM: Towards Building Generalist Models for Structured Knowledge Grounding

SKGInstruct is an instruction tuning dataset constructed from 19 structured knowledge grounding datasets, mixed with πŸ€— SlimOrca

Project Page: https://tiger-ai-lab.github.io/StructLM/

Paper: https://arxiv.org/pdf/2402.16671.pdf

Code: https://github.com/TIGER-AI-Lab/StructLM

Models:

7B | StructLM-7B

13B | StructLM-13B

34B | StructLM-34B

License

Citation

Please cite our paper if you use our data, model or code. Please also kindly cite the original dataset papers.

@misc{zhuang2024structlm,
      title={StructLM: Towards Building Generalist Models for Structured Knowledge Grounding}, 
      author={Alex Zhuang and Ge Zhang and Tianyu Zheng and Xinrun Du and Junjie Wang and Weiming Ren and Stephen W. Huang and Jie Fu and Xiang Yue and Wenhu Chen},
      year={2024},
      eprint={2402.16671},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}
code

Contributors

azhx

15 commits