All datasets / BAAI
BAAI/Infinity-Instruct
The declared licence (cc-by-sa-4.0) is classified as share-alike.
- Declared licence
- cc-by-sa-4.0, from the tagEvidence: README.md at bddc39a
- Licence files
- No licence file at the top level of the repositoryEvidence: file list at bddc39a
- Declared sources
- None listed in the card metadata
- Access gated on Hugging Face
- Yes
Tasks
Citation text from the card
@misc{li2025infinityinstructscalinginstruction,
title={Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models},
author={Jijie Li and Li Du and Hanyu Zhao and Bo-wen Zhang and Liangdong Wang and Boyan Gao and Guang Liu and Yonghua Lin},
year={2025},
eprint={2506.11116},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2506.11116},
}
@misc{du2025infinityinstructsubject,
title={Scaling Towards the Information Boundary of Instruction Sets: The Infinity Instruct Subject Technical Report},
author={Li Du, Hanyu Zhao, Yiming Ju, Tengfei Pan},
year={2025},
eprint={2507.06968},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2507.06968},
}
@article{zhao2024iidoptimizinginstructionlearning,
title={Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency},
author={Hanyu Zhao and Li Du and Yiming Ju and Chengwei Wu and Tengfei Pan},
year={2024},
eprint={2409.07045},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2409.07045},
}
@misc{zhang2024inifinitymath,
title={InfinityMATH: A Scalable Instruction Tuning Dataset in Programmatic Mathematical Reasoning},
author={Bo-Wen Zhang and Yan Yan and Lin Li and Guang Liu},
year={2024},
eprint={2408.07089},
archivePrefix={arXiv},
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dataset_licence({ "id": "BAAI/Infinity-Instruct" })
signal: "permissive"
stated_licence: "cc-by-sa-4.0"
sources: 0