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Download README.md from AudioLLMs/iemocap_emotion_recognition: direct link, hf CLI and curl.
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https://huggingface.co/datasets/AudioLLMs/iemocap_emotion_recognition/resolve/main/README.md
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1.07 kB
| dataset_info: | |
| features: | |
| - name: context | |
| dtype: audio | |
| - name: instruction | |
| dtype: string | |
| - name: answer | |
| dtype: string | |
| splits: | |
| - name: test | |
| num_bytes: 142157786.0 | |
| num_examples: 1004 | |
| download_size: 139557753 | |
| dataset_size: 142157786.0 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: test | |
| path: data/test-* | |
| ``` | |
| @article{busso2008iemocap, | |
| title={IEMOCAP: Interactive emotional dyadic motion capture database}, | |
| author={Busso, Carlos and Bulut, Murtaza and Lee, Chi-Chun and Kazemzadeh, Abe and Mower, Emily and Kim, Samuel and Chang, Jeannette N and Lee, Sungbok and Narayanan, Shrikanth S}, | |
| journal={Language resources and evaluation}, | |
| volume={42}, | |
| pages={335--359}, | |
| year={2008}, | |
| publisher={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} | |
| } | |
| ``` |