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Dataset · Hugging Face

Fancylalala/AEGIS

AEGIS: Automated Error Generation and Identification for Multi-Agent Systems Paper | Project Page | Code AEGIS Framework Overview AEGIS (Automated Error Generation and Identification for Multi-Agent Systems) is a large-scale dataset and benchmark for detecting errors in Multi-Agent Systems (MAS). It addresses the critical lack of large-scale, diverse datasets with precise, ground-truth error labels for MAS, which has hampered research in understanding MAS… See the full description on the dataset page: https://huggingface.co/datasets/Fancylalala/AEGIS.

Author / organizationFancylalala
License (as declared)mit
Downloads248 (as reported by Hugging Face)
Likes6
Created16 September 2025
Last updated at source17 August 2026
multi-agent-systemserror-detectionbenchmark
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