AudioLLMs/librispeech_test_clean
@inproceedings{panayotov2015librispeech, title={Librispeech: an asr corpus based on public domain audio books}, author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev}, booktitle={2015 IEEE international conference on acoustics, speech and signal processing (ICASSP)}, pages={5206--5210}, year={2015}, organization={IEEE} } @article{wang2024audiobench, title={AudioBench: A Universal Benchmark for Audio Large Language Models}, author={Wang, Bin and… See the full description on the dataset page: https://huggingface.co/datasets/AudioLLMs/librispeech_test_clean.
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1---2dataset_info:3 features:4 - name: context5 dtype: audio6 - name: instruction7 dtype: string8 - name: answer9 dtype: string10 splits:11 - name: test12 num_bytes: 622890932.87513 num_examples: 261714 download_size: 61387520015 dataset_size: 622890932.87516configs:17- config_name: default18 data_files:19 - split: test20 path: data/test-*21---22 23```24@inproceedings{panayotov2015librispeech,25 title={Librispeech: an asr corpus based on public domain audio books},26 author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},27 booktitle={2015 IEEE international conference on acoustics, speech and signal processing (ICASSP)},28 pages={5206--5210},29 year={2015},30 organization={IEEE}31}32```33 34 35```36@article{wang2024audiobench,37 title={AudioBench: A Universal Benchmark for Audio Large Language Models},38 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},39 journal={NAACL},40 year={2025}41}42```