|
--- |
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language: |
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- en |
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dataset_info: |
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- config_name: advbench |
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features: |
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- name: audio |
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dtype: audio |
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dtype: string |
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download_size: 74970333 |
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dataset_size: 36123845 |
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features: |
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dtype: audio |
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features: |
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download_size: 1401400700 |
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- config_name: commoneval |
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features: |
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dtype: audio |
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dtype: string |
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splits: |
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num_examples: 200 |
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download_size: 27573315 |
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dataset_size: 30944908 |
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- config_name: ifeval |
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features: |
|
- name: audio |
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dtype: audio |
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- name: key |
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dtype: int64 |
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- name: prompt |
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dtype: string |
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- name: instruction_id_list |
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sequence: string |
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- name: kwargs |
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list: |
|
- name: num_placeholders |
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dtype: int64 |
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- name: capital_relation |
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dtype: string |
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- name: capital_frequency |
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dtype: int64 |
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- name: keywords |
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sequence: string |
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- name: relation |
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dtype: string |
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- name: num_words |
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dtype: int64 |
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- name: let_relation |
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dtype: string |
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- name: letter |
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dtype: string |
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- name: let_frequency |
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dtype: int64 |
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- name: section_spliter |
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dtype: string |
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- name: num_sections |
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dtype: int64 |
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- name: end_phrase |
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dtype: string |
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- name: forbidden_words |
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sequence: string |
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- name: keyword |
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dtype: string |
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- name: frequency |
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dtype: int64 |
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- name: postscript_marker |
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dtype: string |
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- name: num_highlights |
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dtype: int64 |
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- name: num_paragraphs |
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dtype: int64 |
|
- name: num_sentences |
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dtype: int64 |
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- name: prompt_to_repeat |
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dtype: string |
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- name: first_word |
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dtype: string |
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- name: nth_paragraph |
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dtype: int64 |
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- name: num_bullets |
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dtype: int64 |
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splits: |
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num_bytes: 126604577 |
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num_examples: 345 |
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download_size: 117898801 |
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dataset_size: 126604577 |
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- config_name: mmsu |
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features: |
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- name: prompt |
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- name: reference |
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- name: cot_content |
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dtype: string |
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- name: category |
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- name: src |
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dtype: string |
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splits: |
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num_examples: 51 |
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- name: engineering |
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num_examples: 107 |
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- name: other |
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- name: biology |
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- name: business |
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- name: health |
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num_examples: 406 |
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- name: philosophy |
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- name: psychology |
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- name: history |
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- name: chemistry |
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num_examples: 167 |
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- name: physics |
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num_bytes: 299038331 |
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num_examples: 383 |
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download_size: 2140740285 |
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dataset_size: 2323997163 |
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- config_name: mtbench |
|
features: |
|
- name: audio1 |
|
dtype: audio |
|
- name: audio2 |
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dtype: audio |
|
- name: question_id |
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dtype: int64 |
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- name: category |
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dtype: string |
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sequence: string |
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sequence: string |
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splits: |
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- name: test |
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num_bytes: 27206170 |
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num_examples: 46 |
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download_size: 25429481 |
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dataset_size: 27206170 |
|
- config_name: openbookqa |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: prompt |
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dtype: string |
|
- name: reference |
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dtype: string |
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splits: |
|
- name: test |
|
num_bytes: 275196635 |
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num_examples: 455 |
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download_size: 251099084 |
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dataset_size: 275196635 |
|
- config_name: sd-qa |
|
features: |
|
- name: audio |
|
dtype: audio |
|
- name: prompt |
|
dtype: string |
|
- name: reference |
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dtype: string |
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splits: |
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- name: aus |
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num_bytes: 75611830 |
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num_examples: 553 |
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- name: gbr |
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num_bytes: 81039880 |
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num_examples: 553 |
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- name: zaf |
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num_examples: 553 |
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download_size: 803403747 |
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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} |
|
} |
|
``` |
