NexusRaven API Evaluation dataset

Please see blog post or NexusRaven Github repo for more information.

License

The evaluation data in this repository consists primarily of our own curated evaluation data that only uses open source commercializable models. However, we include general domain data from the ToolLLM and ToolAlpaca papers. Since the data in the ToolLLM and ToolAlpaca works use OpenAI's GPT models for the generated content, the data is not commercially licensable, even if our own data is. As a result, the evaluation data used here is strictly non-commercial under CC-BY-NC-4.0. Thank you for understanding!

References

We thank the following authors and entities for their evaluation data, which we leveraged to produce the results contained in this repository. Their citations can be found below

1. ToolAlpaca team
2. ToolLLM team

@misc{tang2023toolalpaca,
      title={ToolAlpaca: Generalized Tool Learning for Language Models with 3000 Simulated Cases}, 
      author={Qiaoyu Tang and Ziliang Deng and Hongyu Lin and Xianpei Han and Qiao Liang and Boxi Cao and Le Sun},
      year={2023},
      eprint={2306.05301},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@misc{qin2023toolllm,
      title={ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs}, 
      author={Yujia Qin and Shihao Liang and Yining Ye and Kunlun Zhu and Lan Yan and Yaxi Lu and Yankai Lin and Xin Cong and Xiangru Tang and Bill Qian and Sihan Zhao and Runchu Tian and Ruobing Xie and Jie Zhou and Mark Gerstein and Dahai Li and Zhiyuan Liu and Maosong Sun},
      year={2023},
      eprint={2307.16789},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}

Citation

@misc{nexusraven,
      title={NexusRaven: Surpassing the state-of-the-art in open-source function calling LLMs}, 
      author={Nexusflow.ai team},
      year={2023},
      url={http://nexusflow.ai/blog}
}

Contact

Please reach out to info@nexusflow.ai for any questions!