#dataset

Agent Memory Kit System: Capture every correction and interaction to build your own SLM from day one

v0.8 preview · 2,288 multi-step agent trajectories · 513 hand-authored gold + 1,775 provenance-flagged augmented. A per-step benchmark that scores whether a verifier catches drift inside an agent's trajectory — not whether a prompt is harmful.

Synthetic Splunk-native dataset and detection prototype for AI-agent monitoring-control-plane tampering

Source-backed archive of agent prompt-injection incidents, research records, trust-boundary patterns, schemas, and sanitized defensive summaries.

Local CLI to turn failed AI agent traces (wrong tool, bad args, over-refusals) from LangSmith/Langfuse into clean SFT/DPO fine-tuning data

By the Atlanta College of Liberal Arts and Sciences (ACLAS) — AI policy audit of all 187 US Carnegie R1 universities. CSV + JSON, CC-BY-4.0.

By the Atlanta College of Liberal Arts and Sciences (ACLAS) — AI policy and program audit of 31 Central Asian universities. CSV + JSON, CC-BY-4.0.

By the Atlanta College of Liberal Arts and Sciences (ACLAS) — global audit of 186 universities' public AI policies (QS 2026 top-150 + 37 Global South flagships). CSV + JSON, CC-BY-4.0.

Which open-source projects have a written rule about AI-written pull requests: 703 of GitHub's top 800 repos screened. Free dataset, CC BY 4.0.