AIAgent
Datasets
All datasets matching “AIAgent”moviesai-agent-security-incidents
AI Agent Security Incident Database v0.1
A structured, machine-readable database of 1392 confirmed AI agent security incidents, collected and classified automatically.
What is this?
Every time an AI agent causes unintended harm — escaping a sandbox, exploiting an API, taking unauthorized actions, exfiltrating data — this database captures it.
This is not a list of theoretical risks. Every entry describes something that actually happened, with a verifiable source… See the full description on the dataset page: https://huggingface.co/datasets/gemmozero/ai-agent-security-incidents.ai-agent-failure-logs
Autonomous AI Agent Failure Logs
→ What actually breaks when you run LLM agents unattended for 43 days — what this data showed, in prose.
Training-ready version: cleaned/ — deduplicated, labeled, split train/test. Built by scripts/build-dataset-121.js.
Sister tools: honto-contract (contract checker) / local-llm-readiness (environment check).
Free harness kit: a 24-point unattended-operation checklist and 3 templates taken from this same harness (AGENTS.md, fail-closed send gate… See the full description on the dataset page: https://huggingface.co/datasets/GXCafe/ai-agent-failure-logs.work-arenaai-agent-security-policy-decisions
AI Agent Security Policy Decisions
ai-agent-security-policy-decisions is a 2,400-record synthetic dataset for classifying proposed AI-agent tool actions as allow, deny, require_human_approval, or allow_with_restrictions. Each scenario includes identity and permission context, sensitivity, risk factors, required controls, a concise rationale, and a safer alternative.
The dataset addresses the decision point between an agent proposing an action and a tool or policy gateway… See the full description on the dataset page: https://huggingface.co/datasets/rksharma1947/ai-agent-security-policy-decisions.AI_Agent_Task_Dataset
🤖 Massive AI Agent Task Dataset (10.5GB)
📌 Overview
Welcome to the AI Agent Task Dataset, a massive 10.5GB procedural dataset designed for training, fine-tuning, and evaluating autonomous AI agents and LLMs.
This dataset focuses on:
Multi-step reasoning
Tool usage (APIs, frameworks, systems)
Real-world execution workflows
Perfect for building agentic AI systems, copilots, and automation models.
📑 Table of Contents
Dataset Details
Dataset… See the full description on the dataset page: https://huggingface.co/datasets/oncody/AI_Agent_Task_Dataset.