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Download librispeech_test_clean/README.md from JinchuanTian/audiobench: direct link, hf CLI and curl.
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hf download hf://datasets/JinchuanTian/audiobench/librispeech_test_clean/README.md
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curl -L -o README.md https://huggingface.co/datasets/JinchuanTian/audiobench/resolve/main/librispeech_test_clean/README.md
1.04 kB
| dataset_info: | |
| features: | |
| - name: context | |
| dtype: audio | |
| - name: instruction | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| splits: | |
| - name: test | |
| num_bytes: 622890932.875 | |
| num_examples: 2617 | |
| download_size: 613875200 | |
| dataset_size: 622890932.875 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/test-* | |
| ``` | |
| @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 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} | |
| } | |
| ``` |