This is the first Multilingual Agentic AI Benchmark for evaluating agentic AI systems across different languages and diverse tasks. Benchmark enables systematic analysis of how agents perform under multilingual conditions. To balance performance and safety evaluation, our benchmark comprises 805 tasks: 405 from performance-oriented datasets (GAIA, SWE-bench, MATH) and 400 from the Agent Security… See the full description on the dataset page:
https://huggingface.co/datasets/Fujitsu-FRE/MAPS.
