README.md

---
dataset_info:
  config_name: MMAU-mini
  features:
  - name: context
    dtype:
      audio:
        sampling_rate: 16000
  - name: instruction
    dtype: string
  - name: choices
    sequence: string
  - name: answer
    dtype: string
  - name: other_attributes
    struct:
    - name: id
      dtype: string
    - name: dataset
      dtype: string
    - name: task
      dtype: string
    - name: split
      dtype: string
    - name: category
      dtype: string
    - name: sub-category
      dtype: string
    - name: difficulty
      dtype: string
  splits:
  - name: test
    num_bytes: 437616862.0
    num_examples: 1000
  download_size: 398538423
  dataset_size: 437616862.0
configs:
- config_name: MMAU-mini
  data_files:
  - split: test
    path: MMAU-mini/train-*
---

```
@misc{sakshi2024mmaumassivemultitaskaudio,
      title={MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark}, 
      author={S Sakshi and Utkarsh Tyagi and Sonal Kumar and Ashish Seth and Ramaneswaran Selvakumar and Oriol Nieto and Ramani Duraiswami and Sreyan Ghosh and Dinesh Manocha},
      year={2024},
      eprint={2410.19168},
      archivePrefix={arXiv},
      primaryClass={eess.AS},
      url={https://arxiv.org/abs/2410.19168}, 
}
```

```
@article{wang2024audiobench,
  title={AudioBench: A Universal Benchmark for Audio Large Language Models},
  author={Wang, Bin and Zou, Xunlong and Lin, Geyu and Sun, Shuo and Liu, Zhuohan and Zhang, Wenyu and Liu, Zhengyuan and Aw, AiTi and Chen, Nancy F},
  journal={NAACL},
  year={2025}
}
```