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Fujitsu-FRE/
MAPS_Verified

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Dataset Card for Multilingual Benchmark for Global Agent Performance and Security

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. This dataset contains 550 instances for GAIA, 660 instances for ASB, 737 instances for Maths, and 1100 instances for SWE. Each task was translated into 10 target languages resulting… See the full description on the dataset page: https://huggingface.co/datasets/Fujitsu-FRE/MAPS_Verified.