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sc:Dataset
AgentDisruptBench
An evaluation methodology for evaluating AI agent resilience under runtime tool-call disruptions, designed for the NeurIPS Evaluations & Datasets Track. Contains 100 base tasks and variants across 4 domains (Retail, Travel, Finance, DevOps) with 20 disruption types and 9 disruption profiles.
http://mlcommons.org/croissant/1.0
https://github.com/Kavirubc/AgentDisruptBench
https://opensource.org/licenses/MIT
0.1.0
2026-04-03T00:00:00
{ "@type": "sc:Organization", "name": "AgentDisruptBench Contributors" }
[ "AI agents", "benchmarks", "resilience", "tool-calling", "disruptions", "evaluation", "LLM", "fault-injection", "reliability" ]
false
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