Datasets:
File size: 9,338 Bytes
0eb5a7c a651fca 0eb5a7c ea2de4d 0eb5a7c aaa46d4 0eb5a7c aaa46d4 5f8930a aaa46d4 5f8930a aaa46d4 76437e6 aaa46d4 76437e6 aaa46d4 03c3b07 5b52fe5 aaa46d4 5b52fe5 aaa46d4 5b52fe5 aaa46d4 5b52fe5 aaa46d4 5b52fe5 aaa46d4 5b52fe5 aaa46d4 5b52fe5 aaa46d4 5b52fe5 aaa46d4 5b52fe5 ce1f420 aaa46d4 03c3b07 ce1f420 aaa46d4 03c3b07 ce1f420 aaa46d4 03c3b07 5b52fe5 aaa46d4 ea2de4d aaa46d4 ea2de4d aaa46d4 d312abe aaa46d4 d312abe aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 b9c082a aaa46d4 fd876c1 aaa46d4 fd876c1 aaa46d4 3404500 aaa46d4 3404500 aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 a3907cf aaa46d4 0eb5a7c 5f8930a 76437e6 03c3b07 5b52fe5 ce1f420 ea2de4d d312abe b9c082a fd876c1 3404500 a3907cf aaa46d4 0eb5a7c 8de3725 aaa46d4 8de3725 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 |
---
language:
- en
dataset_info:
- config_name: advbench
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
splits:
- name: test
num_bytes: 80626668
num_examples: 520
download_size: 74970333
dataset_size: 80626668
- config_name: alpacaeval
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
splits:
- name: test
num_bytes: 36123845
num_examples: 199
download_size: 33542907
dataset_size: 36123845
- config_name: alpacaeval_full
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
splits:
- name: test
num_bytes: 140044143
num_examples: 636
download_size: 130048839
dataset_size: 140044143
- config_name: alpacaeval_speaker
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
splits:
- name: en_AU_Wavenet_A_1.0_0.0_0.0
num_bytes: 141127023
num_examples: 636
- name: en_AU_Wavenet_B_1.0_0.0_0.0
num_bytes: 120085743
num_examples: 636
- name: en_IN_Wavenet_A_1.0_0.0_0.0
num_bytes: 135913071
num_examples: 636
- name: en_IN_Wavenet_B_1.0_0.0_0.0
num_bytes: 122491119
num_examples: 636
- name: en_GB_Wavenet_A_1.0_0.0_0.0
num_bytes: 136140015
num_examples: 636
- name: en_GB_Wavenet_B_1.0_0.0_0.0
num_bytes: 130439919
num_examples: 636
- name: en_US_Wavenet_A_1.0_0.0_0.0
num_bytes: 140044143
num_examples: 636
- name: en_US_Wavenet_C_1.0_0.0_0.0
num_bytes: 136477551
num_examples: 636
- name: en_US_Wavenet_A_1.5_0.0_0.0
num_bytes: 94753263
num_examples: 636
- name: en_US_Wavenet_A_2.0_0.0_0.0
num_bytes: 72080751
num_examples: 636
- name: en_US_Wavenet_A_0.5_0.0_0.0
num_bytes: 276096495
num_examples: 636
download_size: 1401400700
dataset_size: 1505649093
- config_name: commoneval
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
splits:
- name: test
num_bytes: 30944908
num_examples: 200
download_size: 27573315
dataset_size: 30944908
- config_name: ifeval
features:
- name: audio
dtype: audio
- name: key
dtype: int64
- name: prompt
dtype: string
- name: instruction_id_list
sequence: string
- name: kwargs
list:
- name: num_placeholders
dtype: int64
- name: capital_relation
dtype: string
- 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
dtype: string
- name: let_frequency
dtype: int64
- name: section_spliter
dtype: string
- name: num_sections
dtype: int64
- name: end_phrase
dtype: string
- name: forbidden_words
sequence: string
- name: keyword
dtype: string
- name: frequency
dtype: int64
- name: postscript_marker
dtype: string
- name: num_highlights
dtype: int64
- name: num_paragraphs
dtype: int64
- name: num_sentences
dtype: int64
- name: prompt_to_repeat
dtype: string
- name: first_word
dtype: string
- name: nth_paragraph
dtype: int64
- name: num_bullets
dtype: int64
splits:
- name: test
num_bytes: 126604577
num_examples: 345
download_size: 117898801
dataset_size: 126604577
- 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
splits:
- name: law
num_bytes: 41103118
num_examples: 51
- name: engineering
num_bytes: 79990255
num_examples: 107
- name: other
num_bytes: 377556247
num_examples: 546
- name: biology
num_bytes: 134336747
num_examples: 172
- name: business
num_bytes: 186833430
num_examples: 236
- name: economics
num_bytes: 229510852
num_examples: 280
- name: health
num_bytes: 296546112
num_examples: 406
- name: philosophy
num_bytes: 221002339
num_examples: 305
- name: psychology
num_bytes: 248876187
num_examples: 317
- name: history
num_bytes: 77305713
num_examples: 104
- name: chemistry
num_bytes: 131897832
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
dtype: string
- name: turns
sequence: string
- name: reference
sequence: string
splits:
- name: test
num_bytes: 27206170
num_examples: 46
download_size: 25429481
dataset_size: 27206170
- config_name: openbookqa
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
- name: reference
dtype: string
splits:
- name: test
num_bytes: 275196635
num_examples: 455
download_size: 251099084
dataset_size: 275196635
- config_name: sd-qa
features:
- name: audio
dtype: audio
- name: prompt
dtype: string
- name: reference
dtype: string
splits:
- name: aus
num_bytes: 75611830
num_examples: 553
- name: gbr
num_bytes: 81039880
num_examples: 553
- name: ind_n
num_bytes: 79954016
num_examples: 553
- name: ind_s
num_bytes: 85840976
num_examples: 553
- name: irl
num_bytes: 76020258
num_examples: 553
- name: kenya
num_bytes: 58849868
num_examples: 553
- name: nga
num_bytes: 98685976
num_examples: 553
- name: nzl
num_bytes: 81047194
num_examples: 553
- name: phl
num_bytes: 83175762
num_examples: 553
- name: usa
num_bytes: 83810750
num_examples: 553
- name: zaf
num_bytes: 75569934
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}
}
``` |