{
"_doc": "MultiDimension-Localization dataset (NetManAIOps). 21 microservices, 19 metrics per service (399 time series), 58 anomaly cases. The high-dimensional service-graph validator: expected motifs depend on which root-cause category each of the 58 cases belongs to. Window ranges and per-case motif assignments TBD until upstream extraction.",
"schema_version": 1,
"license": "per-archive-verify",
"upstream_url": "https://github.com/NetManAIOps",
"fault_cases": {
"_template_per_case": {
"fixture": "multidim_localization",
"fault_window_ranges": [],
"expected_motif_class": "TBD",
"narrative": "Template entry; populate one block per anomaly case (1..58) when the upstream archive is extracted. Each case carries its own root-cause category which determines the expected MotifClass.",
"_status": "schema-only until fixture is vendored"
}
}
}