{
 "id": "AI45Research/AgentDoG1.0-Training-Data",
 "owner": "AI45Research",
 "name": "AgentDoG1.0-Training-Data",
 "downloads": 409,
 "likes": 0,
 "last_modified": "2026-05-15T08:06:57.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "text-generation",
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 ],
 "citation": "@article{liu2026agentdog,\n  title={AgentDoG: A Diagnostic Guardrail Framework for AI Agent Safety and Security},\n  author={Liu, Dongrui and Ren, Qihan and Qian, Chen and Shao, Shuai and Xie, Yuejin and Li, Yu and Yang, Zhonghao and Luo, Haoyu and Wang, Peng and Liu, Qingyu and others},\n  journal={arXiv preprint arXiv:2601.18491},\n  year={2026}\n}\n\n@article{li2026atbench,\n  title={ATBench: A Diverse and Realistic Trajectory Benchmark for Long-Horizon Agent Safety},\n  author={Li, Yu and Luo, Haoyu and Xie, Yuejin and Fu, Yuqian and Yang, Zhonghao and Shao, Shuai and Ren, Qihan and Qu, Wanying and Fu, Yanwei and Yang, Yujiu and others},\n  journal={arXiv preprint arXiv:2604.02022},\n  year={2026}\n}",
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 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "f4da9da000e1bde5dce851e522bcb1e3c50684ed",
 "stated_evidence": "https://huggingface.co/datasets/AI45Research/AgentDoG1.0-Training-Data/blob/f4da9da000e1bde5dce851e522bcb1e3c50684ed/README.md",
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}