MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark

Overview of MMSU:

MMSU, a comprehensive benchmark designed specifically for understanding and reasoning in spoken language. MMSU comprises 5,000 meticulously curated audio-question-answer triplets across 47 distinct tasks. To ground our benchmark in linguistic theory, we systematically incorporate a wide range of linguistic phenomena, including phonetics, prosody, syntax, syntactics, semantics, and paralinguistics.

Evaluation:

Refer to Github Code

Citation

@article{wang2025mmsu,
      title={MMSU: A Massive Multi-task Spoken Language Understanding and Reasoning Benchmark}, 
      author={Dingdong Wang and Jincenzi Wu and Junan Li and Dongchao Yang and Xueyuan Chen and Tianhua Zhang and Helen Meng},
      journal={arXiv preprint arXiv:2506.04779},
      year={2025},
}