five

AssetOpsBench

收藏
魔搭社区2025-11-27 更新2025-11-03 收录
下载链接:
https://modelscope.cn/datasets/ibm-research/AssetOpsBench
下载链接
链接失效反馈
官方服务:
资源简介:
# AssetOpsBench This dataset includes: - `Scenarios`: Human-authored evaluation prompts for industrial asset agents. Used in the AssetOpsBench benchmark: https://github.com/ibm-research/AssetOpsBench ## Cite this Dataset If you use our dataset in your paper, please cite our dataset by ``` @misc{patel2025assetopsbenchbenchmarkingaiagents, title={AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance}, author={Dhaval Patel and Shuxin Lin and James Rayfield and Nianjun Zhou and Roman Vaculin and Natalia Martinez and Fearghal O'donncha and Jayant Kalagnanam}, year={2025}, eprint={2506.03828}, archivePrefix={arXiv}, primaryClass={cs.AI}, url={https://arxiv.org/abs/2506.03828}, } ```

# AssetOpsBench 本数据集包含以下内容: - 场景集(Scenarios):由人工撰写的工业资产智能体(AI Agent)评估提示词。 本数据集用于AssetOpsBench基准测试:https://github.com/ibm-research/AssetOpsBench ## 数据集引用 若您在论文中使用本数据集,请按以下格式引用: @misc{patel2025assetopsbenchbenchmarkingaiagents, title={AssetOpsBench: Benchmarking AI Agents for Task Automation in Industrial Asset Operations and Maintenance}, author={Dhaval Patel and Shuxin Lin and James Rayfield and Nianjun Zhou and Roman Vaculin and Natalia Martinez and Fearghal O'donncha and Jayant Kalagnanam}, year={2025}, eprint={2506.03828}, archivePrefix={arXiv}, primaryClass={cs.AI}, url={https://arxiv.org/abs/2506.03828}, }
提供机构:
maas
创建时间:
2025-10-03
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作