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---
language:
- en
dataset_info:
features:
- name: context
dtype: audio
- name: instruction
dtype: string
- name: answer
dtype: string
splits:
- name: test
num_bytes: 301416995.0
num_examples: 1142
download_size: 301257849
dataset_size: 301416995.0
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}
}
```
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