AudioLLMs/tedlium3_long_form_test

1---2dataset_info:3  features:4  - name: context5    dtype: audio6  - name: instruction7    dtype: string8  - name: answer9    dtype: string10  splits:11  - name: test12    num_bytes: 301640735.013    num_examples: 1114  download_size: 30145716815  dataset_size: 301640735.016configs:17- config_name: default18  data_files:19  - split: test20    path: data/test-*21---22 23 24```25@inproceedings{hernandez2018ted,26  title={TED-LIUM 3: Twice as much data and corpus repartition for experiments on speaker adaptation},27  author={Hernandez, Fran{\c{c}}ois and Nguyen, Vincent and Ghannay, Sahar and Tomashenko, Natalia and Esteve, Yannick},28  booktitle={Speech and Computer: 20th International Conference, SPECOM 2018, Leipzig, Germany, September 18--22, 2018, Proceedings 20},29  pages={198--208},30  year={2018},31  organization={Springer}32}33```34 35 36```37@article{wang2024audiobench,38  title={AudioBench: A Universal Benchmark for Audio Large Language Models},39  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},40  journal={NAACL},41  year={2025}42}43```44