Refresh Croissant (core from auto + manual RAI)

croissant.json

@@ -304,4 +304,4 @@
   "rai:dataLimitations": "Each case captures a single fault window in an isolated lab cluster, so the dataset cannot exercise (a) concurrent independent faults, (b) noisy-neighbour effects from co-tenant workloads, (c) long-running gradual degradations beyond the recording window, or (d) fault propagation through queues / async pipelines that the underlying testbeds do not model. Causal graphs are only as accurate as the manifest's propagation rules - faults whose real-world effect exceeds the manifest's declared contract will have ground-truth graphs that under-represent the actual blast radius. The 500-case sample is intentionally small for fast benchmark turnaround; statistical claims based on this corpus alone should be treated as evaluation evidence, not population estimates.",
   "rai:dataSocialImpact": "The dataset is intended to advance reproducible RCA research for microservice systems. Risks are low: there is no human or operational data. Possible indirect risk: an RCA algorithm tuned only on this benchmark may transfer poorly to production fault distributions, potentially giving operators false confidence. Users are encouraged to report any observed gaps between benchmark performance and production performance via the dataset's HF discussion page.",
   "rai:dataReleaseMaintenancePlan": "Versioned releases on Hugging Face under anon-ops/ops-lite. The pipeline that produced this release (chaos injection in AegisLab + manifest-driven reasoner in rcabench-platform v3) is open-source, so any reissue can be reproduced from the same fault manifest commit. We plan to refresh the corpus when the fault manifest gains new chaos families. No deprecation timeline is set; older versions remain accessible via repo history."
-}
+}