Datasets:
File size: 9,304 Bytes
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---
language:
- en
dataset_info:
- config_name: advbench
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
splits:
- name: test
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num_examples: 520
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- config_name: alpacaeval
features:
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dtype: audio
- name: prompt
dtype: string
splits:
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num_examples: 199
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- config_name: alpacaeval_full
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
splits:
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num_examples: 636
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- config_name: alpacaeval_speaker
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
splits:
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- name: en_AU_Wavenet_B_1.0_0.0_0.0
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- name: en_IN_Wavenet_A_1.0_0.0_0.0
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- name: en_IN_Wavenet_B_1.0_0.0_0.0
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- name: en_GB_Wavenet_A_1.0_0.0_0.0
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- name: en_GB_Wavenet_B_1.0_0.0_0.0
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- name: en_US_Wavenet_A_1.0_0.0_0.0
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- 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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- 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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num_examples: 636
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- config_name: commoneval
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
splits:
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num_examples: 200
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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
sequence: string
- name: kwargs
list:
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dtype: int64
- name: capital_relation
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- name: capital_frequency
dtype: int64
- name: keywords
sequence: string
- name: relation
dtype: string
- name: num_words
dtype: int64
- name: let_relation
dtype: string
- name: letter
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- name: section_spliter
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- name: num_sections
dtype: int64
- name: end_phrase
dtype: string
- name: forbidden_words
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- name: keyword
dtype: string
- name: frequency
dtype: int64
- name: postscript_marker
dtype: string
- name: num_highlights
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- 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:
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num_examples: 345
download_size: 117898801
dataset_size: 126604577.0
- config_name: mmsu
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
- name: reference
dtype: string
- name: question_id
dtype: int64
- name: cot_content
dtype: string
- name: category
dtype: string
- name: src
dtype: string
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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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num_examples: 172
- name: business
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num_examples: 236
- name: economics
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num_examples: 280
- name: health
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num_examples: 406
- name: philosophy
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- 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
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num_examples: 383
download_size: 2140740285
dataset_size: 2323997163.0
- config_name: mtbench
features:
- name: audio1
dtype: audio
- name: audio2
dtype: audio
- name: question_id
dtype: int64
- name: category
dtype: string
- name: turns
sequence: string
- name: reference
sequence: string
splits:
- name: test
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num_examples: 46
download_size: 25429481
dataset_size: 27206170.0
- config_name: openbookqa
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
- name: reference
dtype: string
splits:
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num_examples: 455
download_size: 251099084
dataset_size: 275196635.0
- config_name: sd-qa
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
- name: reference
dtype: string
splits:
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num_examples: 553
- name: gbr
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num_examples: 553
- name: ind_n
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- name: ind_s
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num_examples: 553
- name: irl
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num_examples: 553
- name: kenya
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num_examples: 553
- name: nga
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num_examples: 553
- name: nzl
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num_examples: 553
- name: phl
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num_examples: 553
- name: usa
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num_examples: 553
- name: zaf
num_bytes: 75569934.0
num_examples: 553
download_size: 803403747
dataset_size: 879606444.0
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-*
---
## 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}
}
``` |