OpenRCA 2.0 Lite v1 A 635 case curated subset of OpenRCA 2.0 for root cause analysis (RCA) on microservice systems. Stratified across (system × fault type × root cause service × propagation path skeleton) with end to end causal chain verification. At a glance Cases: 635 Systems: hotel reserv, online boutique, train ticket, sock shop, social network Fault types: CPUStress, NetworkPartition, NetworkLatency, NetworkLoss, MemoryStress, IOStress, PodFailure, PodKill, ContainerKill, MysqlCorrupt, RedisCorrupt, … Per case telemetry: OpenTelemetry derived parquet for traces, logs, metrics (counter/sum/histogram), split into pre injection ( normal ) and post injection ( abnormal ) windows Per case ground truth: injection.json (root cause services + fault parameters), causal graph.json (alarm propagation skeleton), result.json (verified causal chain), conclusion.parquet , env.json , label.txt Layout MANIFEST.json schema: Origin tags old (403 cases): carried over from the original openrca2 lite set new (232 cases): added in v1 curation, ground truth stored in AegisLab batch schema (list of dicts) Download The dataset is ~3 MB total. Use with ThinkDepthAI (LangGraph RCA agent) Evaluation repor…
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