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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```