ATH-MaaS/Marco-Bench-MIF

Marco-Bench-MIF: A Benchmark for Multilingual Instruction-Following Evaluation Introduction Marco-Bench-MIF is the first deeply localized multilingual benchmark designed to evaluate instruction-following capabilities across 30 languages. Unlike existing benchmarks that rely primarily on machine translation, Marco-Bench-MIF implements fine-grained cultural adaptations to provide more accurate assessment. Our research demonstrates that machine-translated data… See the full description on the dataset page: https://huggingface.co/datasets/ATH-MaaS/Marco-Bench-MIF.

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