Datasets:
Tasks:
Question Answering
Modalities:
Audio
Formats:
soundfolder
Languages:
English
Size:
1K - 10K
ArXiv:
License:
| license: mit | |
| task_categories: | |
| - question-answering | |
| language: | |
| - en | |
| # 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**](https://github.com/dingdongwang/MMSU_Bench/tree/main) | |
| ## 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}, | |
| } | |
| ``` | |