metadata
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
num_examples: 1000
download_size: 398538423
dataset_size: 437616862
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}
}