Dataset · Hugging Face

ibm-research/AssetOpsBench

Name: AssetOpsBench
Creator: ibm-research
License: apache-2.0
Keywords: task_categories:question-answering, task_categories:time-series-forecasting, language:en, license:apache-2.0, size_categories:n<1K, format:json, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2506.03828, region:us, Industry, PHM

AssetOpsBench AssetOpsBench is a specialized benchmark designed for evaluating Large Language Models (LLMs) and Multi-Agent systems in industrial operations. It focuses on the intersection of sensor data interpretation, maintenance logic, and Prognostics and Health Management (PHM). The benchmark enables researchers to test how effectively AI agents can manage complex industrial assets, such as compressors and hydraulic pumps, by applying rule-based logic and diagnostic… See the full description on the dataset page: https://huggingface.co/datasets/ibm-research/AssetOpsBench.

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Author / organization	ibm-research
License (as declared)	apache-2.0
Downloads	830 (as reported by Hugging Face)
Likes	48
Created	26 June 2025
Last updated at source	28 May 2026

IndustryPHMPredictive-MaintenanceAsset-Managementtool-learningtask-automationLLMMulti-Agent

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