| --- |
| dataset_info: |
| features: |
| - name: context |
| dtype: audio |
| - name: instruction |
| dtype: string |
| - name: answer |
| dtype: string |
| splits: |
| - name: test |
| num_bytes: 301640735.0 |
| num_examples: 11 |
| download_size: 301457168 |
| dataset_size: 301640735.0 |
| configs: |
| - config_name: default |
| data_files: |
| - split: test |
| path: data/test-* |
| --- |
| |
|
|
| ``` |
| @inproceedings{hernandez2018ted, |
| title={TED-LIUM 3: Twice as much data and corpus repartition for experiments on speaker adaptation}, |
| author={Hernandez, Fran{\c{c}}ois and Nguyen, Vincent and Ghannay, Sahar and Tomashenko, Natalia and Esteve, Yannick}, |
| booktitle={Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18--22, 2018, Proceedings 20}, |
| pages={198--208}, |
| year={2018}, |
| organization={Springer} |
| } |
| ``` |
|
|
|
|
| ``` |
| @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} |
| } |
| ``` |
|
|
