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---
language:
- en
dataset_info:
- config_name: advbench
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    dtype: audio
  - name: prompt
    dtype: string
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    dtype: audio
  - name: prompt
    dtype: string
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  download_size: 33542907
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- config_name: alpacaeval_full
  features:
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    dtype: audio
  - name: prompt
    dtype: string
  splits:
  - name: test
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    num_examples: 636
  download_size: 130048839
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- config_name: alpacaeval_speaker
  features:
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    dtype: audio
  - name: prompt
    dtype: string
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  - name: en_GB_Wavenet_A_1.0_0.0_0.0
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    num_examples: 636
  - name: en_US_Wavenet_A_1.0_0.0_0.0
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    num_examples: 636
  - name: en_US_Wavenet_C_1.0_0.0_0.0
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  - name: en_US_Wavenet_A_1.5_0.0_0.0
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    num_examples: 636
  - name: en_US_Wavenet_A_2.0_0.0_0.0
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  - name: en_US_Wavenet_A_0.5_0.0_0.0
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  download_size: 1401400700
  dataset_size: 1505649093
- config_name: commoneval
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  - name: prompt
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  splits:
  - name: test
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    num_examples: 200
  download_size: 27573315
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- config_name: ifeval
  features:
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    dtype: audio
  - name: key
    dtype: int64
  - name: prompt
    dtype: string
  - name: instruction_id_list
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  - name: kwargs
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    - name: capital_relation
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    - name: capital_frequency
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    - name: keywords
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    - name: relation
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    - name: num_words
      dtype: int64
    - name: let_relation
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    - name: section_spliter
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    - name: end_phrase
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    - name: forbidden_words
      sequence: string
    - name: keyword
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    - name: frequency
      dtype: int64
    - name: postscript_marker
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    - name: num_highlights
      dtype: int64
    - name: num_paragraphs
      dtype: int64
    - name: num_sentences
      dtype: int64
    - name: prompt_to_repeat
      dtype: string
    - name: first_word
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    - name: nth_paragraph
      dtype: int64
    - name: num_bullets
      dtype: int64
  splits:
  - name: test
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    num_examples: 345
  download_size: 117898801
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- config_name: mmsu
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    dtype: audio
  - name: prompt
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  - name: reference
    dtype: string
  - name: question_id
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  - name: cot_content
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  - name: category
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  - name: src
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  - name: engineering
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  - name: other
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    num_examples: 546
  - name: biology
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  - name: business
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  - name: economics
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    num_examples: 280
  - name: health
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    num_examples: 406
  - name: philosophy
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    num_examples: 305
  - name: psychology
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    num_examples: 317
  - name: history
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    num_examples: 104
  - name: chemistry
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    num_examples: 167
  - name: physics
    num_bytes: 299038331
    num_examples: 383
  download_size: 2140740285
  dataset_size: 2323997163
- config_name: mtbench
  features:
  - name: audio1
    dtype: audio
  - name: audio2
    dtype: audio
  - name: question_id
    dtype: int64
  - name: category
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  - name: turns
    sequence: string
  - name: reference
    sequence: string
  splits:
  - name: test
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    num_examples: 46
  download_size: 25429481
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- config_name: openbookqa
  features:
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    dtype: audio
  - name: prompt
    dtype: string
  - name: reference
    dtype: string
  splits:
  - name: test
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  download_size: 251099084
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- config_name: sd-qa
  features:
  - name: audio
    dtype: audio
  - name: prompt
    dtype: string
  - name: reference
    dtype: string
  splits:
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  - name: gbr
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  - name: ind_n
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  - name: ind_s
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  - name: irl
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  - name: kenya
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  - name: nga
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  - name: nzl
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  - name: phl
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  - name: usa
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  - name: zaf
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    num_examples: 553
  download_size: 803403747
  dataset_size: 879606444
configs:
- config_name: advbench
  data_files:
  - split: test
    path: advbench/test-*
- config_name: alpacaeval
  data_files:
  - split: test
    path: alpacaeval/test-*
- config_name: alpacaeval_full
  data_files:
  - split: test
    path: alpacaeval_full/test-*
- config_name: alpacaeval_speaker
  data_files:
  - split: en_AU_Wavenet_A_1.0_0.0_0.0
    path: alpacaeval_speaker/en_AU_Wavenet_A_1.0_0.0_0.0-*
  - split: en_AU_Wavenet_B_1.0_0.0_0.0
    path: alpacaeval_speaker/en_AU_Wavenet_B_1.0_0.0_0.0-*
  - split: en_IN_Wavenet_A_1.0_0.0_0.0
    path: alpacaeval_speaker/en_IN_Wavenet_A_1.0_0.0_0.0-*
  - split: en_IN_Wavenet_B_1.0_0.0_0.0
    path: alpacaeval_speaker/en_IN_Wavenet_B_1.0_0.0_0.0-*
  - split: en_GB_Wavenet_A_1.0_0.0_0.0
    path: alpacaeval_speaker/en_GB_Wavenet_A_1.0_0.0_0.0-*
  - split: en_GB_Wavenet_B_1.0_0.0_0.0
    path: alpacaeval_speaker/en_GB_Wavenet_B_1.0_0.0_0.0-*
  - split: en_US_Wavenet_A_1.0_0.0_0.0
    path: alpacaeval_speaker/en_US_Wavenet_A_1.0_0.0_0.0-*
  - split: en_US_Wavenet_C_1.0_0.0_0.0
    path: alpacaeval_speaker/en_US_Wavenet_C_1.0_0.0_0.0-*
  - split: en_US_Wavenet_A_1.5_0.0_0.0
    path: alpacaeval_speaker/en_US_Wavenet_A_1.5_0.0_0.0-*
  - split: en_US_Wavenet_A_2.0_0.0_0.0
    path: alpacaeval_speaker/en_US_Wavenet_A_2.0_0.0_0.0-*
  - split: en_US_Wavenet_A_0.5_0.0_0.0
    path: alpacaeval_speaker/en_US_Wavenet_A_0.5_0.0_0.0-*
- config_name: commoneval
  data_files:
  - split: test
    path: commoneval/test-*
- config_name: ifeval
  data_files:
  - split: test
    path: ifeval/test-*
- config_name: mmsu
  data_files:
  - split: law
    path: mmsu/law-*
  - split: engineering
    path: mmsu/engineering-*
  - split: other
    path: mmsu/other-*
  - split: biology
    path: mmsu/biology-*
  - split: business
    path: mmsu/business-*
  - split: economics
    path: mmsu/economics-*
  - split: health
    path: mmsu/health-*
  - split: philosophy
    path: mmsu/philosophy-*
  - split: psychology
    path: mmsu/psychology-*
  - split: history
    path: mmsu/history-*
  - split: chemistry
    path: mmsu/chemistry-*
  - split: physics
    path: mmsu/physics-*
- config_name: mtbench
  data_files:
  - split: test
    path: mtbench/test-*
- config_name: openbookqa
  data_files:
  - split: test
    path: openbookqa/test-*
- config_name: sd-qa
  data_files:
  - split: aus
    path: sd-qa/aus-*
  - split: gbr
    path: sd-qa/gbr-*
  - split: ind_n
    path: sd-qa/ind_n-*
  - split: ind_s
    path: sd-qa/ind_s-*
  - split: irl
    path: sd-qa/irl-*
  - split: kenya
    path: sd-qa/kenya-*
  - split: nga
    path: sd-qa/nga-*
  - split: nzl
    path: sd-qa/nzl-*
  - split: phl
    path: sd-qa/phl-*
  - split: usa
    path: sd-qa/usa-*
  - split: zaf
    path: sd-qa/zaf-*
license: apache-2.0
---

## License

The dataset is available under the [Apache 2.0 license](https://www.apache.org/licenses/LICENSE-2.0).


## Citation
If you use the VoiceBench dataset in your research, please cite the following paper:
```
@article{chen2024voicebench,
  title={VoiceBench: Benchmarking LLM-Based Voice Assistants},
  author={Chen, Yiming and Yue, Xianghu and Zhang, Chen and Gao, Xiaoxue and Tan, Robby T. and Li, Haizhou},
  journal={arXiv preprint arXiv:2410.17196},
  year={2024}
}
```