lincyaw/openrca2-lite-v2

OpenRCA-2.0-Lite v2 — fault-kind rebalanced

500-case curated RCA evaluation set, rebalanced 2026-05-03 from the same 1 464-case pool as openrca2-lite-v1 but with diversity caps tuned for fault-kind richness rather than raw graph size.

What changed vs v1

v1 had ~34 % pod-killer cases (PodFailure / PodKill / ContainerKill, single-leg or as a leg of a hybrid). Under the v2 evaluation contract — which scores network_* faults on direction.src/dst and jvm_*/http_* on optional method — pod-killer cases are essentially trivial: the killed service goes silent, all calls to it 5xx, no direction / method is required for full credit. v2 caps that family aggressively and reallocates the budget to subtype-rich families.

	v1	v2	Δ
pod-killer total share	34.4 %	22.0 %	−12.4 pp
single-leg Pod*	92	50	−42
hybrid_kill	80	60	−20
HTTP* (8 subtypes)	54	77	+23
Network* (6 subtypes)	66	72	+6
JVM*	26	35	+9
hybrid_clean (real multi-root difficulty)	140	163	+23
trivial cases (longest_path == 2)	141 (28 %)	116 (23 %)	−25
mean longest_path	3.46	3.64	+0.18

Composition

500 cases · hybrid : leaf = 223 : 277 (44.6% : 55.4%) · pod-killer share = 110/500 = 22.0%

Chaos family

family	count	%
hybrid_clean	163	32.6 %
HTTP*	77	15.4 %
Network*	72	14.4 %
hybrid_kill	60	12.0 %
Pod*	50	10.0 %
*Stress	43	8.6 %
JVM*	35	7.0 %

Single-leg subtype distribution (excluding hybrid)

subtype	count
JVMMemoryStress	41
NetworkDelay	33
JVMException	25
PodFailure	25
ContainerKill	20
NetworkPartition	18
HTTPResponseReplaceCode	16
HTTPRequestAbort	13
HTTPResponseReplaceBody	10
HTTPRequestReplaceMethod	9
NetworkCorrupt	9
NetworkLoss	9
HTTPResponseAbort	8
HTTPResponseDelay	7
HTTPRequestReplacePath	7
JVMReturn	7
PodKill	5
HTTPRequestDelay	5
NetworkBandwidth	3
JVMLatency	2
JVMCPUStress	2
HTTPResponsePatchBody	2
JVMMySQLLatency	1

System × source pool

system	count	source pool
ts	340	mixed
hs	96	mixed
otel-demo	64	mixed

source: old = 0 (FSE/openrca2 set) · source: new = 500 (aegisctl detector_success last 48 h)

longest_path distribution (service-level DAG)

longest_path	count
2	116
3	176
4	95
5	52
6	32
7	6
8	22
9	1

min=2 · p25=3 · p50=3 · p75=4 · max=9 · mean=3.64

Files

dataset/
├── README.md           (this file)
├── MANIFEST.json       (HF-format curation summary + 500 case entries)
├── manifest.jsonl      (500 lines, one JSON object per case)
└── cases/
    └── <case_name>/    (telemetry parquets + injection.json + causal_graph.json)

Each case dir contains:

• abnormal_metrics.parquet / normal_metrics.parquet
• abnormal_traces.parquet / normal_traces.parquet
• abnormal_logs.parquet / normal_logs.parquet
• abnormal_metrics_histogram.parquet · abnormal_metrics_sum.parquet
• injection.json (chaos-mesh ground truth)
• causal_graph.json (regenerated 2026-05-02 with rcabench-platform reason batch)
• conclusion.parquet · env.json

manifest.jsonl schema

field	example	notes
name	ts5-ts-route-plan-service-loss-wkm5kz	matches cases/<name>/
source	old / new	which pool the case came from
system	ts / hs / otel-demo	benchmark name
longest_path	5	service-level DAG longest directed path (node count)
n_svc	7	distinct services in graph
n_edge	9	unique service-level edges
n_alarm_svc	4	services that appear in alarm_nodes
root_services	["mysql"]	injection target(s)
chaos_family	Network* / hybrid_clean / …	aggregated bucket
primary_kind	NetworkDelay / hybrid	raw chaos_type or hybrid for multi-leg
subtypes	["NetworkDelay", "CPUStress"]	every chaos_type in engine_config (NEW in v2)
hybrid	bool	multi-leg injection?
has_kill_leg	bool	NEW — at least one PodFailure/PodKill/ContainerKill leg?
src_path	/home/ddq/.../<case>	absolute path of underlying datapack on the curator's machine

Intended use

Built to evaluate LLM/agent RCA pipelines under a type-aware scoring contract (rcabench-platform evaluation/v2):

• network_* → must produce direction.src + direction.dst
• jvm_* / http_* → optional class.method for bonus
• hybrid → score per ground-truth fault, not as a set intersection
• every claim must carry a re-runnable DuckDB SQL on the case parquets

Citation

Curated by lincyaw from the OpenRCA-2.0 / RCABench corpus. If you use this dataset in research, please cite the originating RCABench / OpenRCA-2 papers and reference this specific dataset version (openrca2-lite-v2).