AgentDojo-PROV: A W3C PROV-O Corpus of LLM Agent Executions

A public corpus of W3C PROV-O conformant provenance graphs of large language model (LLM) agent executions, generated by instrumenting the AgentDojo prompt-injection benchmark (agentdojo 0.1.35; suite set v1.2.2: workspace, banking, travel, slack) with a purely observing capture layer.Each agent run is recorded as a lossless transcript (raw tool outputs, arguments, any model reasoning, errors, per-call timing, the (utility, security) task outcome, and injection ground truth), from which a W3C PROV-O conformant provenance graph is derived as a pure function — so any change of labelling or representation is an offline recompute, never a model re-run. Every released graph passes both structural validation and a PROV-JSON ⇄ PROV-O RDF round-trip isomorphism check.