| --- |
| dataset_info: |
| features: |
| - name: context |
| dtype: audio |
| - name: instruction |
| dtype: string |
| - name: answer |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 6826637646.625 |
| num_examples: 32603 |
| download_size: 6807010280 |
| dataset_size: 6826637646.625 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| --- |
| |
|
|
|
|
| ``` |
| @article{galvez2021people, |
| title={The people's speech: A large-scale diverse english speech recognition dataset for commercial usage}, |
| author={Galvez, Daniel and Diamos, Greg and Ciro, Juan and Cer{\'o}n, Juan Felipe and Achorn, Keith and Gopi, Anjali and Kanter, David and Lam, Maximilian and Mazumder, Mark and Reddi, Vijay Janapa}, |
| journal={arXiv preprint arXiv:2111.09344}, |
| year={2021} |
| } |
| ``` |
|
|
|
|
|
|
|
|
| ``` |
| @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} |
| } |
| ``` |
