Update README.md
Browse files
README.md
CHANGED
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@@ -1,7 +1,1874 @@
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---
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tags:
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| 3 |
- feature-extraction
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| 4 |
pipeline_tag: feature-extraction
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|
| 5 |
---
|
| 6 |
DRAGON+ is a BERT-base sized dense retriever initialized from [RetroMAE](https://huggingface.co/Shitao/RetroMAE) and further trained on the data augmented from MS MARCO corpus, following the approach described in [How to Train Your DRAGON:
|
| 7 |
Diverse Augmentation Towards Generalizable Dense Retrieval](https://arxiv.org/abs/2302.07452).
|
|
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
- feature-extraction
|
| 4 |
+
- mteb
|
| 5 |
pipeline_tag: feature-extraction
|
| 6 |
+
model-index:
|
| 7 |
+
- name: dragon-plus
|
| 8 |
+
results:
|
| 9 |
+
- task:
|
| 10 |
+
type: Retrieval
|
| 11 |
+
dataset:
|
| 12 |
+
type: arguana
|
| 13 |
+
name: MTEB ArguAna
|
| 14 |
+
config: default
|
| 15 |
+
split: test
|
| 16 |
+
revision: None
|
| 17 |
+
metrics:
|
| 18 |
+
- type: map_at_1
|
| 19 |
+
value: 22.973
|
| 20 |
+
- type: map_at_10
|
| 21 |
+
value: 38.242
|
| 22 |
+
- type: map_at_100
|
| 23 |
+
value: 39.326
|
| 24 |
+
- type: map_at_1000
|
| 25 |
+
value: 39.342
|
| 26 |
+
- type: map_at_3
|
| 27 |
+
value: 33.144
|
| 28 |
+
- type: map_at_5
|
| 29 |
+
value: 35.818
|
| 30 |
+
- type: mrr_at_1
|
| 31 |
+
value: 23.115
|
| 32 |
+
- type: mrr_at_10
|
| 33 |
+
value: 38.31
|
| 34 |
+
- type: mrr_at_100
|
| 35 |
+
value: 39.387
|
| 36 |
+
- type: mrr_at_1000
|
| 37 |
+
value: 39.403
|
| 38 |
+
- type: mrr_at_3
|
| 39 |
+
value: 33.167
|
| 40 |
+
- type: mrr_at_5
|
| 41 |
+
value: 35.856
|
| 42 |
+
- type: ndcg_at_1
|
| 43 |
+
value: 22.973
|
| 44 |
+
- type: ndcg_at_10
|
| 45 |
+
value: 47.251
|
| 46 |
+
- type: ndcg_at_100
|
| 47 |
+
value: 51.937
|
| 48 |
+
- type: ndcg_at_1000
|
| 49 |
+
value: 52.288000000000004
|
| 50 |
+
- type: ndcg_at_3
|
| 51 |
+
value: 36.569
|
| 52 |
+
- type: ndcg_at_5
|
| 53 |
+
value: 41.396
|
| 54 |
+
- type: precision_at_1
|
| 55 |
+
value: 22.973
|
| 56 |
+
- type: precision_at_10
|
| 57 |
+
value: 7.632
|
| 58 |
+
- type: precision_at_100
|
| 59 |
+
value: 0.9690000000000001
|
| 60 |
+
- type: precision_at_1000
|
| 61 |
+
value: 0.1
|
| 62 |
+
- type: precision_at_3
|
| 63 |
+
value: 15.504999999999999
|
| 64 |
+
- type: precision_at_5
|
| 65 |
+
value: 11.65
|
| 66 |
+
- type: recall_at_1
|
| 67 |
+
value: 22.973
|
| 68 |
+
- type: recall_at_10
|
| 69 |
+
value: 76.31599999999999
|
| 70 |
+
- type: recall_at_100
|
| 71 |
+
value: 96.942
|
| 72 |
+
- type: recall_at_1000
|
| 73 |
+
value: 99.57300000000001
|
| 74 |
+
- type: recall_at_3
|
| 75 |
+
value: 46.515
|
| 76 |
+
- type: recall_at_5
|
| 77 |
+
value: 58.25
|
| 78 |
+
- task:
|
| 79 |
+
type: Retrieval
|
| 80 |
+
dataset:
|
| 81 |
+
type: BeIR/cqadupstack
|
| 82 |
+
name: MTEB CQADupstackAndroidRetrieval
|
| 83 |
+
config: default
|
| 84 |
+
split: test
|
| 85 |
+
revision: None
|
| 86 |
+
metrics:
|
| 87 |
+
- type: map_at_1
|
| 88 |
+
value: 28.793000000000003
|
| 89 |
+
- type: map_at_10
|
| 90 |
+
value: 38.686
|
| 91 |
+
- type: map_at_100
|
| 92 |
+
value: 39.848
|
| 93 |
+
- type: map_at_1000
|
| 94 |
+
value: 39.989999999999995
|
| 95 |
+
- type: map_at_3
|
| 96 |
+
value: 35.437000000000005
|
| 97 |
+
- type: map_at_5
|
| 98 |
+
value: 37.067
|
| 99 |
+
- type: mrr_at_1
|
| 100 |
+
value: 35.05
|
| 101 |
+
- type: mrr_at_10
|
| 102 |
+
value: 43.903999999999996
|
| 103 |
+
- type: mrr_at_100
|
| 104 |
+
value: 44.612
|
| 105 |
+
- type: mrr_at_1000
|
| 106 |
+
value: 44.669
|
| 107 |
+
- type: mrr_at_3
|
| 108 |
+
value: 41.321000000000005
|
| 109 |
+
- type: mrr_at_5
|
| 110 |
+
value: 42.573
|
| 111 |
+
- type: ndcg_at_1
|
| 112 |
+
value: 35.05
|
| 113 |
+
- type: ndcg_at_10
|
| 114 |
+
value: 44.564
|
| 115 |
+
- type: ndcg_at_100
|
| 116 |
+
value: 49.252
|
| 117 |
+
- type: ndcg_at_1000
|
| 118 |
+
value: 51.791
|
| 119 |
+
- type: ndcg_at_3
|
| 120 |
+
value: 39.576
|
| 121 |
+
- type: ndcg_at_5
|
| 122 |
+
value: 41.426
|
| 123 |
+
- type: precision_at_1
|
| 124 |
+
value: 35.05
|
| 125 |
+
- type: precision_at_10
|
| 126 |
+
value: 8.455
|
| 127 |
+
- type: precision_at_100
|
| 128 |
+
value: 1.3299999999999998
|
| 129 |
+
- type: precision_at_1000
|
| 130 |
+
value: 0.187
|
| 131 |
+
- type: precision_at_3
|
| 132 |
+
value: 18.645999999999997
|
| 133 |
+
- type: precision_at_5
|
| 134 |
+
value: 13.247
|
| 135 |
+
- type: recall_at_1
|
| 136 |
+
value: 28.793000000000003
|
| 137 |
+
- type: recall_at_10
|
| 138 |
+
value: 56.351
|
| 139 |
+
- type: recall_at_100
|
| 140 |
+
value: 76.542
|
| 141 |
+
- type: recall_at_1000
|
| 142 |
+
value: 93.14099999999999
|
| 143 |
+
- type: recall_at_3
|
| 144 |
+
value: 41.581
|
| 145 |
+
- type: recall_at_5
|
| 146 |
+
value: 47.066
|
| 147 |
+
- task:
|
| 148 |
+
type: Retrieval
|
| 149 |
+
dataset:
|
| 150 |
+
type: BeIR/cqadupstack
|
| 151 |
+
name: MTEB CQADupstackEnglishRetrieval
|
| 152 |
+
config: default
|
| 153 |
+
split: test
|
| 154 |
+
revision: None
|
| 155 |
+
metrics:
|
| 156 |
+
- type: map_at_1
|
| 157 |
+
value: 29.828
|
| 158 |
+
- type: map_at_10
|
| 159 |
+
value: 39.312999999999995
|
| 160 |
+
- type: map_at_100
|
| 161 |
+
value: 40.487
|
| 162 |
+
- type: map_at_1000
|
| 163 |
+
value: 40.607
|
| 164 |
+
- type: map_at_3
|
| 165 |
+
value: 36.525
|
| 166 |
+
- type: map_at_5
|
| 167 |
+
value: 38.121
|
| 168 |
+
- type: mrr_at_1
|
| 169 |
+
value: 37.197
|
| 170 |
+
- type: mrr_at_10
|
| 171 |
+
value: 45.091
|
| 172 |
+
- type: mrr_at_100
|
| 173 |
+
value: 45.726
|
| 174 |
+
- type: mrr_at_1000
|
| 175 |
+
value: 45.769999999999996
|
| 176 |
+
- type: mrr_at_3
|
| 177 |
+
value: 42.856
|
| 178 |
+
- type: mrr_at_5
|
| 179 |
+
value: 44.056
|
| 180 |
+
- type: ndcg_at_1
|
| 181 |
+
value: 37.197
|
| 182 |
+
- type: ndcg_at_10
|
| 183 |
+
value: 44.737
|
| 184 |
+
- type: ndcg_at_100
|
| 185 |
+
value: 49.02
|
| 186 |
+
- type: ndcg_at_1000
|
| 187 |
+
value: 51.052
|
| 188 |
+
- type: ndcg_at_3
|
| 189 |
+
value: 40.685
|
| 190 |
+
- type: ndcg_at_5
|
| 191 |
+
value: 42.519
|
| 192 |
+
- type: precision_at_1
|
| 193 |
+
value: 37.197
|
| 194 |
+
- type: precision_at_10
|
| 195 |
+
value: 8.363
|
| 196 |
+
- type: precision_at_100
|
| 197 |
+
value: 1.329
|
| 198 |
+
- type: precision_at_1000
|
| 199 |
+
value: 0.179
|
| 200 |
+
- type: precision_at_3
|
| 201 |
+
value: 19.533
|
| 202 |
+
- type: precision_at_5
|
| 203 |
+
value: 13.732
|
| 204 |
+
- type: recall_at_1
|
| 205 |
+
value: 29.828
|
| 206 |
+
- type: recall_at_10
|
| 207 |
+
value: 54.339000000000006
|
| 208 |
+
- type: recall_at_100
|
| 209 |
+
value: 72.217
|
| 210 |
+
- type: recall_at_1000
|
| 211 |
+
value: 85.185
|
| 212 |
+
- type: recall_at_3
|
| 213 |
+
value: 42.331
|
| 214 |
+
- type: recall_at_5
|
| 215 |
+
value: 47.612
|
| 216 |
+
- task:
|
| 217 |
+
type: Retrieval
|
| 218 |
+
dataset:
|
| 219 |
+
type: BeIR/cqadupstack
|
| 220 |
+
name: MTEB CQADupstackGamingRetrieval
|
| 221 |
+
config: default
|
| 222 |
+
split: test
|
| 223 |
+
revision: None
|
| 224 |
+
metrics:
|
| 225 |
+
- type: map_at_1
|
| 226 |
+
value: 37.919000000000004
|
| 227 |
+
- type: map_at_10
|
| 228 |
+
value: 49.225
|
| 229 |
+
- type: map_at_100
|
| 230 |
+
value: 50.306
|
| 231 |
+
- type: map_at_1000
|
| 232 |
+
value: 50.364
|
| 233 |
+
- type: map_at_3
|
| 234 |
+
value: 46.459
|
| 235 |
+
- type: map_at_5
|
| 236 |
+
value: 48.173
|
| 237 |
+
- type: mrr_at_1
|
| 238 |
+
value: 43.072
|
| 239 |
+
- type: mrr_at_10
|
| 240 |
+
value: 52.437
|
| 241 |
+
- type: mrr_at_100
|
| 242 |
+
value: 53.2
|
| 243 |
+
- type: mrr_at_1000
|
| 244 |
+
value: 53.233
|
| 245 |
+
- type: mrr_at_3
|
| 246 |
+
value: 50.219
|
| 247 |
+
- type: mrr_at_5
|
| 248 |
+
value: 51.629999999999995
|
| 249 |
+
- type: ndcg_at_1
|
| 250 |
+
value: 43.072
|
| 251 |
+
- type: ndcg_at_10
|
| 252 |
+
value: 54.468
|
| 253 |
+
- type: ndcg_at_100
|
| 254 |
+
value: 58.912
|
| 255 |
+
- type: ndcg_at_1000
|
| 256 |
+
value: 60.179
|
| 257 |
+
- type: ndcg_at_3
|
| 258 |
+
value: 49.836999999999996
|
| 259 |
+
- type: ndcg_at_5
|
| 260 |
+
value: 52.371
|
| 261 |
+
- type: precision_at_1
|
| 262 |
+
value: 43.072
|
| 263 |
+
- type: precision_at_10
|
| 264 |
+
value: 8.52
|
| 265 |
+
- type: precision_at_100
|
| 266 |
+
value: 1.168
|
| 267 |
+
- type: precision_at_1000
|
| 268 |
+
value: 0.133
|
| 269 |
+
- type: precision_at_3
|
| 270 |
+
value: 21.923000000000002
|
| 271 |
+
- type: precision_at_5
|
| 272 |
+
value: 14.997
|
| 273 |
+
- type: recall_at_1
|
| 274 |
+
value: 37.919000000000004
|
| 275 |
+
- type: recall_at_10
|
| 276 |
+
value: 66.682
|
| 277 |
+
- type: recall_at_100
|
| 278 |
+
value: 85.81
|
| 279 |
+
- type: recall_at_1000
|
| 280 |
+
value: 94.812
|
| 281 |
+
- type: recall_at_3
|
| 282 |
+
value: 54.515
|
| 283 |
+
- type: recall_at_5
|
| 284 |
+
value: 60.684000000000005
|
| 285 |
+
- task:
|
| 286 |
+
type: Retrieval
|
| 287 |
+
dataset:
|
| 288 |
+
type: BeIR/cqadupstack
|
| 289 |
+
name: MTEB CQADupstackGisRetrieval
|
| 290 |
+
config: default
|
| 291 |
+
split: test
|
| 292 |
+
revision: None
|
| 293 |
+
metrics:
|
| 294 |
+
- type: map_at_1
|
| 295 |
+
value: 21.04
|
| 296 |
+
- type: map_at_10
|
| 297 |
+
value: 27.665
|
| 298 |
+
- type: map_at_100
|
| 299 |
+
value: 28.716
|
| 300 |
+
- type: map_at_1000
|
| 301 |
+
value: 28.794999999999998
|
| 302 |
+
- type: map_at_3
|
| 303 |
+
value: 25.338
|
| 304 |
+
- type: map_at_5
|
| 305 |
+
value: 26.815
|
| 306 |
+
- type: mrr_at_1
|
| 307 |
+
value: 22.712
|
| 308 |
+
- type: mrr_at_10
|
| 309 |
+
value: 29.447000000000003
|
| 310 |
+
- type: mrr_at_100
|
| 311 |
+
value: 30.457
|
| 312 |
+
- type: mrr_at_1000
|
| 313 |
+
value: 30.522
|
| 314 |
+
- type: mrr_at_3
|
| 315 |
+
value: 27.119
|
| 316 |
+
- type: mrr_at_5
|
| 317 |
+
value: 28.582
|
| 318 |
+
- type: ndcg_at_1
|
| 319 |
+
value: 22.712
|
| 320 |
+
- type: ndcg_at_10
|
| 321 |
+
value: 31.77
|
| 322 |
+
- type: ndcg_at_100
|
| 323 |
+
value: 37.104
|
| 324 |
+
- type: ndcg_at_1000
|
| 325 |
+
value: 39.371
|
| 326 |
+
- type: ndcg_at_3
|
| 327 |
+
value: 27.171
|
| 328 |
+
- type: ndcg_at_5
|
| 329 |
+
value: 29.698999999999998
|
| 330 |
+
- type: precision_at_1
|
| 331 |
+
value: 22.712
|
| 332 |
+
- type: precision_at_10
|
| 333 |
+
value: 4.859
|
| 334 |
+
- type: precision_at_100
|
| 335 |
+
value: 0.7929999999999999
|
| 336 |
+
- type: precision_at_1000
|
| 337 |
+
value: 0.10300000000000001
|
| 338 |
+
- type: precision_at_3
|
| 339 |
+
value: 11.299
|
| 340 |
+
- type: precision_at_5
|
| 341 |
+
value: 8.203000000000001
|
| 342 |
+
- type: recall_at_1
|
| 343 |
+
value: 21.04
|
| 344 |
+
- type: recall_at_10
|
| 345 |
+
value: 42.848000000000006
|
| 346 |
+
- type: recall_at_100
|
| 347 |
+
value: 67.694
|
| 348 |
+
- type: recall_at_1000
|
| 349 |
+
value: 85.179
|
| 350 |
+
- type: recall_at_3
|
| 351 |
+
value: 30.54
|
| 352 |
+
- type: recall_at_5
|
| 353 |
+
value: 36.555
|
| 354 |
+
- task:
|
| 355 |
+
type: Retrieval
|
| 356 |
+
dataset:
|
| 357 |
+
type: BeIR/cqadupstack
|
| 358 |
+
name: MTEB CQADupstackMathematicaRetrieval
|
| 359 |
+
config: default
|
| 360 |
+
split: test
|
| 361 |
+
revision: None
|
| 362 |
+
metrics:
|
| 363 |
+
- type: map_at_1
|
| 364 |
+
value: 13.403
|
| 365 |
+
- type: map_at_10
|
| 366 |
+
value: 19.663
|
| 367 |
+
- type: map_at_100
|
| 368 |
+
value: 20.799
|
| 369 |
+
- type: map_at_1000
|
| 370 |
+
value: 20.915
|
| 371 |
+
- type: map_at_3
|
| 372 |
+
value: 17.465
|
| 373 |
+
- type: map_at_5
|
| 374 |
+
value: 18.665000000000003
|
| 375 |
+
- type: mrr_at_1
|
| 376 |
+
value: 16.418
|
| 377 |
+
- type: mrr_at_10
|
| 378 |
+
value: 23.394000000000002
|
| 379 |
+
- type: mrr_at_100
|
| 380 |
+
value: 24.363
|
| 381 |
+
- type: mrr_at_1000
|
| 382 |
+
value: 24.44
|
| 383 |
+
- type: mrr_at_3
|
| 384 |
+
value: 20.916
|
| 385 |
+
- type: mrr_at_5
|
| 386 |
+
value: 22.241
|
| 387 |
+
- type: ndcg_at_1
|
| 388 |
+
value: 16.418
|
| 389 |
+
- type: ndcg_at_10
|
| 390 |
+
value: 24.013
|
| 391 |
+
- type: ndcg_at_100
|
| 392 |
+
value: 29.62
|
| 393 |
+
- type: ndcg_at_1000
|
| 394 |
+
value: 32.518
|
| 395 |
+
- type: ndcg_at_3
|
| 396 |
+
value: 19.747
|
| 397 |
+
- type: ndcg_at_5
|
| 398 |
+
value: 21.689
|
| 399 |
+
- type: precision_at_1
|
| 400 |
+
value: 16.418
|
| 401 |
+
- type: precision_at_10
|
| 402 |
+
value: 4.515000000000001
|
| 403 |
+
- type: precision_at_100
|
| 404 |
+
value: 0.8410000000000001
|
| 405 |
+
- type: precision_at_1000
|
| 406 |
+
value: 0.123
|
| 407 |
+
- type: precision_at_3
|
| 408 |
+
value: 9.411
|
| 409 |
+
- type: precision_at_5
|
| 410 |
+
value: 6.965000000000001
|
| 411 |
+
- type: recall_at_1
|
| 412 |
+
value: 13.403
|
| 413 |
+
- type: recall_at_10
|
| 414 |
+
value: 33.731
|
| 415 |
+
- type: recall_at_100
|
| 416 |
+
value: 58.743
|
| 417 |
+
- type: recall_at_1000
|
| 418 |
+
value: 79.343
|
| 419 |
+
- type: recall_at_3
|
| 420 |
+
value: 22.148
|
| 421 |
+
- type: recall_at_5
|
| 422 |
+
value: 26.998
|
| 423 |
+
- task:
|
| 424 |
+
type: Retrieval
|
| 425 |
+
dataset:
|
| 426 |
+
type: BeIR/cqadupstack
|
| 427 |
+
name: MTEB CQADupstackPhysicsRetrieval
|
| 428 |
+
config: default
|
| 429 |
+
split: test
|
| 430 |
+
revision: None
|
| 431 |
+
metrics:
|
| 432 |
+
- type: map_at_1
|
| 433 |
+
value: 25.782
|
| 434 |
+
- type: map_at_10
|
| 435 |
+
value: 34.891
|
| 436 |
+
- type: map_at_100
|
| 437 |
+
value: 36.186
|
| 438 |
+
- type: map_at_1000
|
| 439 |
+
value: 36.303999999999995
|
| 440 |
+
- type: map_at_3
|
| 441 |
+
value: 32.099
|
| 442 |
+
- type: map_at_5
|
| 443 |
+
value: 33.777
|
| 444 |
+
- type: mrr_at_1
|
| 445 |
+
value: 30.895
|
| 446 |
+
- type: mrr_at_10
|
| 447 |
+
value: 40.049
|
| 448 |
+
- type: mrr_at_100
|
| 449 |
+
value: 40.953
|
| 450 |
+
- type: mrr_at_1000
|
| 451 |
+
value: 41.0
|
| 452 |
+
- type: mrr_at_3
|
| 453 |
+
value: 37.424
|
| 454 |
+
- type: mrr_at_5
|
| 455 |
+
value: 39.07
|
| 456 |
+
- type: ndcg_at_1
|
| 457 |
+
value: 30.895
|
| 458 |
+
- type: ndcg_at_10
|
| 459 |
+
value: 40.436
|
| 460 |
+
- type: ndcg_at_100
|
| 461 |
+
value: 46.046
|
| 462 |
+
- type: ndcg_at_1000
|
| 463 |
+
value: 48.324
|
| 464 |
+
- type: ndcg_at_3
|
| 465 |
+
value: 35.66
|
| 466 |
+
- type: ndcg_at_5
|
| 467 |
+
value: 38.167
|
| 468 |
+
- type: precision_at_1
|
| 469 |
+
value: 30.895
|
| 470 |
+
- type: precision_at_10
|
| 471 |
+
value: 7.151000000000001
|
| 472 |
+
- type: precision_at_100
|
| 473 |
+
value: 1.171
|
| 474 |
+
- type: precision_at_1000
|
| 475 |
+
value: 0.155
|
| 476 |
+
- type: precision_at_3
|
| 477 |
+
value: 16.619
|
| 478 |
+
- type: precision_at_5
|
| 479 |
+
value: 11.935
|
| 480 |
+
- type: recall_at_1
|
| 481 |
+
value: 25.782
|
| 482 |
+
- type: recall_at_10
|
| 483 |
+
value: 52.013
|
| 484 |
+
- type: recall_at_100
|
| 485 |
+
value: 75.736
|
| 486 |
+
- type: recall_at_1000
|
| 487 |
+
value: 90.823
|
| 488 |
+
- type: recall_at_3
|
| 489 |
+
value: 38.763
|
| 490 |
+
- type: recall_at_5
|
| 491 |
+
value: 45.023
|
| 492 |
+
- task:
|
| 493 |
+
type: Retrieval
|
| 494 |
+
dataset:
|
| 495 |
+
type: BeIR/cqadupstack
|
| 496 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
| 497 |
+
config: default
|
| 498 |
+
split: test
|
| 499 |
+
revision: None
|
| 500 |
+
metrics:
|
| 501 |
+
- type: map_at_1
|
| 502 |
+
value: 22.491
|
| 503 |
+
- type: map_at_10
|
| 504 |
+
value: 30.434
|
| 505 |
+
- type: map_at_100
|
| 506 |
+
value: 31.611
|
| 507 |
+
- type: map_at_1000
|
| 508 |
+
value: 31.732
|
| 509 |
+
- type: map_at_3
|
| 510 |
+
value: 27.776
|
| 511 |
+
- type: map_at_5
|
| 512 |
+
value: 29.271
|
| 513 |
+
- type: mrr_at_1
|
| 514 |
+
value: 27.74
|
| 515 |
+
- type: mrr_at_10
|
| 516 |
+
value: 34.964
|
| 517 |
+
- type: mrr_at_100
|
| 518 |
+
value: 35.943000000000005
|
| 519 |
+
- type: mrr_at_1000
|
| 520 |
+
value: 36.012
|
| 521 |
+
- type: mrr_at_3
|
| 522 |
+
value: 32.667
|
| 523 |
+
- type: mrr_at_5
|
| 524 |
+
value: 33.975
|
| 525 |
+
- type: ndcg_at_1
|
| 526 |
+
value: 27.74
|
| 527 |
+
- type: ndcg_at_10
|
| 528 |
+
value: 35.32
|
| 529 |
+
- type: ndcg_at_100
|
| 530 |
+
value: 40.812
|
| 531 |
+
- type: ndcg_at_1000
|
| 532 |
+
value: 43.49
|
| 533 |
+
- type: ndcg_at_3
|
| 534 |
+
value: 30.843999999999998
|
| 535 |
+
- type: ndcg_at_5
|
| 536 |
+
value: 32.838
|
| 537 |
+
- type: precision_at_1
|
| 538 |
+
value: 27.74
|
| 539 |
+
- type: precision_at_10
|
| 540 |
+
value: 6.358
|
| 541 |
+
- type: precision_at_100
|
| 542 |
+
value: 1.078
|
| 543 |
+
- type: precision_at_1000
|
| 544 |
+
value: 0.147
|
| 545 |
+
- type: precision_at_3
|
| 546 |
+
value: 14.421999999999999
|
| 547 |
+
- type: precision_at_5
|
| 548 |
+
value: 10.32
|
| 549 |
+
- type: recall_at_1
|
| 550 |
+
value: 22.491
|
| 551 |
+
- type: recall_at_10
|
| 552 |
+
value: 45.659
|
| 553 |
+
- type: recall_at_100
|
| 554 |
+
value: 69.303
|
| 555 |
+
- type: recall_at_1000
|
| 556 |
+
value: 87.849
|
| 557 |
+
- type: recall_at_3
|
| 558 |
+
value: 33.155
|
| 559 |
+
- type: recall_at_5
|
| 560 |
+
value: 38.369
|
| 561 |
+
- task:
|
| 562 |
+
type: Retrieval
|
| 563 |
+
dataset:
|
| 564 |
+
type: BeIR/cqadupstack
|
| 565 |
+
name: MTEB CQADupstackRetrieval
|
| 566 |
+
config: default
|
| 567 |
+
split: test
|
| 568 |
+
revision: None
|
| 569 |
+
metrics:
|
| 570 |
+
- type: map_at_1
|
| 571 |
+
value: 22.955500000000008
|
| 572 |
+
- type: map_at_10
|
| 573 |
+
value: 30.754000000000005
|
| 574 |
+
- type: map_at_100
|
| 575 |
+
value: 31.85208333333333
|
| 576 |
+
- type: map_at_1000
|
| 577 |
+
value: 31.968416666666666
|
| 578 |
+
- type: map_at_3
|
| 579 |
+
value: 28.35166666666667
|
| 580 |
+
- type: map_at_5
|
| 581 |
+
value: 29.717333333333336
|
| 582 |
+
- type: mrr_at_1
|
| 583 |
+
value: 27.0815
|
| 584 |
+
- type: mrr_at_10
|
| 585 |
+
value: 34.50116666666666
|
| 586 |
+
- type: mrr_at_100
|
| 587 |
+
value: 35.361583333333336
|
| 588 |
+
- type: mrr_at_1000
|
| 589 |
+
value: 35.42583333333334
|
| 590 |
+
- type: mrr_at_3
|
| 591 |
+
value: 32.30499999999999
|
| 592 |
+
- type: mrr_at_5
|
| 593 |
+
value: 33.56175
|
| 594 |
+
- type: ndcg_at_1
|
| 595 |
+
value: 27.0815
|
| 596 |
+
- type: ndcg_at_10
|
| 597 |
+
value: 35.40033333333333
|
| 598 |
+
- type: ndcg_at_100
|
| 599 |
+
value: 40.3485
|
| 600 |
+
- type: ndcg_at_1000
|
| 601 |
+
value: 42.86816666666667
|
| 602 |
+
- type: ndcg_at_3
|
| 603 |
+
value: 31.24325
|
| 604 |
+
- type: ndcg_at_5
|
| 605 |
+
value: 33.21525
|
| 606 |
+
- type: precision_at_1
|
| 607 |
+
value: 27.0815
|
| 608 |
+
- type: precision_at_10
|
| 609 |
+
value: 6.118666666666667
|
| 610 |
+
- type: precision_at_100
|
| 611 |
+
value: 1.0085833333333334
|
| 612 |
+
- type: precision_at_1000
|
| 613 |
+
value: 0.14150000000000001
|
| 614 |
+
- type: precision_at_3
|
| 615 |
+
value: 14.19175
|
| 616 |
+
- type: precision_at_5
|
| 617 |
+
value: 10.064583333333331
|
| 618 |
+
- type: recall_at_1
|
| 619 |
+
value: 22.955500000000008
|
| 620 |
+
- type: recall_at_10
|
| 621 |
+
value: 45.51058333333333
|
| 622 |
+
- type: recall_at_100
|
| 623 |
+
value: 67.49925
|
| 624 |
+
- type: recall_at_1000
|
| 625 |
+
value: 85.24766666666666
|
| 626 |
+
- type: recall_at_3
|
| 627 |
+
value: 33.885
|
| 628 |
+
- type: recall_at_5
|
| 629 |
+
value: 38.99608333333334
|
| 630 |
+
- task:
|
| 631 |
+
type: Retrieval
|
| 632 |
+
dataset:
|
| 633 |
+
type: BeIR/cqadupstack
|
| 634 |
+
name: MTEB CQADupstackStatsRetrieval
|
| 635 |
+
config: default
|
| 636 |
+
split: test
|
| 637 |
+
revision: None
|
| 638 |
+
metrics:
|
| 639 |
+
- type: map_at_1
|
| 640 |
+
value: 21.371000000000002
|
| 641 |
+
- type: map_at_10
|
| 642 |
+
value: 27.532
|
| 643 |
+
- type: map_at_100
|
| 644 |
+
value: 28.443
|
| 645 |
+
- type: map_at_1000
|
| 646 |
+
value: 28.525
|
| 647 |
+
- type: map_at_3
|
| 648 |
+
value: 25.689
|
| 649 |
+
- type: map_at_5
|
| 650 |
+
value: 26.677
|
| 651 |
+
- type: mrr_at_1
|
| 652 |
+
value: 24.08
|
| 653 |
+
- type: mrr_at_10
|
| 654 |
+
value: 30.128
|
| 655 |
+
- type: mrr_at_100
|
| 656 |
+
value: 30.953999999999997
|
| 657 |
+
- type: mrr_at_1000
|
| 658 |
+
value: 31.022
|
| 659 |
+
- type: mrr_at_3
|
| 660 |
+
value: 28.298000000000002
|
| 661 |
+
- type: mrr_at_5
|
| 662 |
+
value: 29.317
|
| 663 |
+
- type: ndcg_at_1
|
| 664 |
+
value: 24.08
|
| 665 |
+
- type: ndcg_at_10
|
| 666 |
+
value: 31.212
|
| 667 |
+
- type: ndcg_at_100
|
| 668 |
+
value: 35.72
|
| 669 |
+
- type: ndcg_at_1000
|
| 670 |
+
value: 38.061
|
| 671 |
+
- type: ndcg_at_3
|
| 672 |
+
value: 27.705000000000002
|
| 673 |
+
- type: ndcg_at_5
|
| 674 |
+
value: 29.26
|
| 675 |
+
- type: precision_at_1
|
| 676 |
+
value: 24.08
|
| 677 |
+
- type: precision_at_10
|
| 678 |
+
value: 4.8469999999999995
|
| 679 |
+
- type: precision_at_100
|
| 680 |
+
value: 0.753
|
| 681 |
+
- type: precision_at_1000
|
| 682 |
+
value: 0.104
|
| 683 |
+
- type: precision_at_3
|
| 684 |
+
value: 11.759
|
| 685 |
+
- type: precision_at_5
|
| 686 |
+
value: 8.097999999999999
|
| 687 |
+
- type: recall_at_1
|
| 688 |
+
value: 21.371000000000002
|
| 689 |
+
- type: recall_at_10
|
| 690 |
+
value: 40.089000000000006
|
| 691 |
+
- type: recall_at_100
|
| 692 |
+
value: 60.879000000000005
|
| 693 |
+
- type: recall_at_1000
|
| 694 |
+
value: 78.325
|
| 695 |
+
- type: recall_at_3
|
| 696 |
+
value: 30.175
|
| 697 |
+
- type: recall_at_5
|
| 698 |
+
value: 34.168
|
| 699 |
+
- task:
|
| 700 |
+
type: Retrieval
|
| 701 |
+
dataset:
|
| 702 |
+
type: BeIR/cqadupstack
|
| 703 |
+
name: MTEB CQADupstackTexRetrieval
|
| 704 |
+
config: default
|
| 705 |
+
split: test
|
| 706 |
+
revision: None
|
| 707 |
+
metrics:
|
| 708 |
+
- type: map_at_1
|
| 709 |
+
value: 15.043999999999999
|
| 710 |
+
- type: map_at_10
|
| 711 |
+
value: 20.794
|
| 712 |
+
- type: map_at_100
|
| 713 |
+
value: 21.636
|
| 714 |
+
- type: map_at_1000
|
| 715 |
+
value: 21.753
|
| 716 |
+
- type: map_at_3
|
| 717 |
+
value: 19.006
|
| 718 |
+
- type: map_at_5
|
| 719 |
+
value: 19.994999999999997
|
| 720 |
+
- type: mrr_at_1
|
| 721 |
+
value: 18.066
|
| 722 |
+
- type: mrr_at_10
|
| 723 |
+
value: 24.157999999999998
|
| 724 |
+
- type: mrr_at_100
|
| 725 |
+
value: 24.936
|
| 726 |
+
- type: mrr_at_1000
|
| 727 |
+
value: 25.018
|
| 728 |
+
- type: mrr_at_3
|
| 729 |
+
value: 22.345000000000002
|
| 730 |
+
- type: mrr_at_5
|
| 731 |
+
value: 23.396
|
| 732 |
+
- type: ndcg_at_1
|
| 733 |
+
value: 18.066
|
| 734 |
+
- type: ndcg_at_10
|
| 735 |
+
value: 24.584
|
| 736 |
+
- type: ndcg_at_100
|
| 737 |
+
value: 28.869
|
| 738 |
+
- type: ndcg_at_1000
|
| 739 |
+
value: 31.94
|
| 740 |
+
- type: ndcg_at_3
|
| 741 |
+
value: 21.295
|
| 742 |
+
- type: ndcg_at_5
|
| 743 |
+
value: 22.820999999999998
|
| 744 |
+
- type: precision_at_1
|
| 745 |
+
value: 18.066
|
| 746 |
+
- type: precision_at_10
|
| 747 |
+
value: 4.381
|
| 748 |
+
- type: precision_at_100
|
| 749 |
+
value: 0.754
|
| 750 |
+
- type: precision_at_1000
|
| 751 |
+
value: 0.117
|
| 752 |
+
- type: precision_at_3
|
| 753 |
+
value: 9.956
|
| 754 |
+
- type: precision_at_5
|
| 755 |
+
value: 7.123
|
| 756 |
+
- type: recall_at_1
|
| 757 |
+
value: 15.043999999999999
|
| 758 |
+
- type: recall_at_10
|
| 759 |
+
value: 32.665
|
| 760 |
+
- type: recall_at_100
|
| 761 |
+
value: 52.342
|
| 762 |
+
- type: recall_at_1000
|
| 763 |
+
value: 74.896
|
| 764 |
+
- type: recall_at_3
|
| 765 |
+
value: 23.402
|
| 766 |
+
- type: recall_at_5
|
| 767 |
+
value: 27.397
|
| 768 |
+
- task:
|
| 769 |
+
type: Retrieval
|
| 770 |
+
dataset:
|
| 771 |
+
type: BeIR/cqadupstack
|
| 772 |
+
name: MTEB CQADupstackUnixRetrieval
|
| 773 |
+
config: default
|
| 774 |
+
split: test
|
| 775 |
+
revision: None
|
| 776 |
+
metrics:
|
| 777 |
+
- type: map_at_1
|
| 778 |
+
value: 22.712
|
| 779 |
+
- type: map_at_10
|
| 780 |
+
value: 28.963
|
| 781 |
+
- type: map_at_100
|
| 782 |
+
value: 29.934
|
| 783 |
+
- type: map_at_1000
|
| 784 |
+
value: 30.049
|
| 785 |
+
- type: map_at_3
|
| 786 |
+
value: 27.086
|
| 787 |
+
- type: map_at_5
|
| 788 |
+
value: 28.163
|
| 789 |
+
- type: mrr_at_1
|
| 790 |
+
value: 26.586
|
| 791 |
+
- type: mrr_at_10
|
| 792 |
+
value: 32.792
|
| 793 |
+
- type: mrr_at_100
|
| 794 |
+
value: 33.692
|
| 795 |
+
- type: mrr_at_1000
|
| 796 |
+
value: 33.767
|
| 797 |
+
- type: mrr_at_3
|
| 798 |
+
value: 30.939
|
| 799 |
+
- type: mrr_at_5
|
| 800 |
+
value: 32.012
|
| 801 |
+
- type: ndcg_at_1
|
| 802 |
+
value: 26.586
|
| 803 |
+
- type: ndcg_at_10
|
| 804 |
+
value: 32.92
|
| 805 |
+
- type: ndcg_at_100
|
| 806 |
+
value: 37.891000000000005
|
| 807 |
+
- type: ndcg_at_1000
|
| 808 |
+
value: 40.647
|
| 809 |
+
- type: ndcg_at_3
|
| 810 |
+
value: 29.465000000000003
|
| 811 |
+
- type: ndcg_at_5
|
| 812 |
+
value: 31.106
|
| 813 |
+
- type: precision_at_1
|
| 814 |
+
value: 26.586
|
| 815 |
+
- type: precision_at_10
|
| 816 |
+
value: 5.177
|
| 817 |
+
- type: precision_at_100
|
| 818 |
+
value: 0.8540000000000001
|
| 819 |
+
- type: precision_at_1000
|
| 820 |
+
value: 0.121
|
| 821 |
+
- type: precision_at_3
|
| 822 |
+
value: 12.903999999999998
|
| 823 |
+
- type: precision_at_5
|
| 824 |
+
value: 8.881
|
| 825 |
+
- type: recall_at_1
|
| 826 |
+
value: 22.712
|
| 827 |
+
- type: recall_at_10
|
| 828 |
+
value: 41.382000000000005
|
| 829 |
+
- type: recall_at_100
|
| 830 |
+
value: 63.866
|
| 831 |
+
- type: recall_at_1000
|
| 832 |
+
value: 83.29299999999999
|
| 833 |
+
- type: recall_at_3
|
| 834 |
+
value: 31.739
|
| 835 |
+
- type: recall_at_5
|
| 836 |
+
value: 35.988
|
| 837 |
+
- task:
|
| 838 |
+
type: Retrieval
|
| 839 |
+
dataset:
|
| 840 |
+
type: BeIR/cqadupstack
|
| 841 |
+
name: MTEB CQADupstackWebmastersRetrieval
|
| 842 |
+
config: default
|
| 843 |
+
split: test
|
| 844 |
+
revision: None
|
| 845 |
+
metrics:
|
| 846 |
+
- type: map_at_1
|
| 847 |
+
value: 19.64
|
| 848 |
+
- type: map_at_10
|
| 849 |
+
value: 28.432000000000002
|
| 850 |
+
- type: map_at_100
|
| 851 |
+
value: 29.848999999999997
|
| 852 |
+
- type: map_at_1000
|
| 853 |
+
value: 30.072
|
| 854 |
+
- type: map_at_3
|
| 855 |
+
value: 25.862000000000002
|
| 856 |
+
- type: map_at_5
|
| 857 |
+
value: 27.339000000000002
|
| 858 |
+
- type: mrr_at_1
|
| 859 |
+
value: 24.308
|
| 860 |
+
- type: mrr_at_10
|
| 861 |
+
value: 32.475
|
| 862 |
+
- type: mrr_at_100
|
| 863 |
+
value: 33.404
|
| 864 |
+
- type: mrr_at_1000
|
| 865 |
+
value: 33.477000000000004
|
| 866 |
+
- type: mrr_at_3
|
| 867 |
+
value: 30.203999999999997
|
| 868 |
+
- type: mrr_at_5
|
| 869 |
+
value: 31.558000000000003
|
| 870 |
+
- type: ndcg_at_1
|
| 871 |
+
value: 24.308
|
| 872 |
+
- type: ndcg_at_10
|
| 873 |
+
value: 33.79
|
| 874 |
+
- type: ndcg_at_100
|
| 875 |
+
value: 39.113
|
| 876 |
+
- type: ndcg_at_1000
|
| 877 |
+
value: 42.388
|
| 878 |
+
- type: ndcg_at_3
|
| 879 |
+
value: 29.738999999999997
|
| 880 |
+
- type: ndcg_at_5
|
| 881 |
+
value: 31.734
|
| 882 |
+
- type: precision_at_1
|
| 883 |
+
value: 24.308
|
| 884 |
+
- type: precision_at_10
|
| 885 |
+
value: 6.621
|
| 886 |
+
- type: precision_at_100
|
| 887 |
+
value: 1.322
|
| 888 |
+
- type: precision_at_1000
|
| 889 |
+
value: 0.22499999999999998
|
| 890 |
+
- type: precision_at_3
|
| 891 |
+
value: 14.032
|
| 892 |
+
- type: precision_at_5
|
| 893 |
+
value: 10.435
|
| 894 |
+
- type: recall_at_1
|
| 895 |
+
value: 19.64
|
| 896 |
+
- type: recall_at_10
|
| 897 |
+
value: 44.147999999999996
|
| 898 |
+
- type: recall_at_100
|
| 899 |
+
value: 68.31099999999999
|
| 900 |
+
- type: recall_at_1000
|
| 901 |
+
value: 90.022
|
| 902 |
+
- type: recall_at_3
|
| 903 |
+
value: 32.275999999999996
|
| 904 |
+
- type: recall_at_5
|
| 905 |
+
value: 37.717
|
| 906 |
+
- task:
|
| 907 |
+
type: Retrieval
|
| 908 |
+
dataset:
|
| 909 |
+
type: BeIR/cqadupstack
|
| 910 |
+
name: MTEB CQADupstackWordpressRetrieval
|
| 911 |
+
config: default
|
| 912 |
+
split: test
|
| 913 |
+
revision: None
|
| 914 |
+
metrics:
|
| 915 |
+
- type: map_at_1
|
| 916 |
+
value: 17.443
|
| 917 |
+
- type: map_at_10
|
| 918 |
+
value: 23.45
|
| 919 |
+
- type: map_at_100
|
| 920 |
+
value: 24.41
|
| 921 |
+
- type: map_at_1000
|
| 922 |
+
value: 24.515
|
| 923 |
+
- type: map_at_3
|
| 924 |
+
value: 21.478
|
| 925 |
+
- type: map_at_5
|
| 926 |
+
value: 22.545
|
| 927 |
+
- type: mrr_at_1
|
| 928 |
+
value: 18.854000000000003
|
| 929 |
+
- type: mrr_at_10
|
| 930 |
+
value: 25.174999999999997
|
| 931 |
+
- type: mrr_at_100
|
| 932 |
+
value: 26.099
|
| 933 |
+
- type: mrr_at_1000
|
| 934 |
+
value: 26.179999999999996
|
| 935 |
+
- type: mrr_at_3
|
| 936 |
+
value: 23.352
|
| 937 |
+
- type: mrr_at_5
|
| 938 |
+
value: 24.331
|
| 939 |
+
- type: ndcg_at_1
|
| 940 |
+
value: 18.854000000000003
|
| 941 |
+
- type: ndcg_at_10
|
| 942 |
+
value: 26.99
|
| 943 |
+
- type: ndcg_at_100
|
| 944 |
+
value: 31.823
|
| 945 |
+
- type: ndcg_at_1000
|
| 946 |
+
value: 34.657
|
| 947 |
+
- type: ndcg_at_3
|
| 948 |
+
value: 23.195
|
| 949 |
+
- type: ndcg_at_5
|
| 950 |
+
value: 24.953
|
| 951 |
+
- type: precision_at_1
|
| 952 |
+
value: 18.854000000000003
|
| 953 |
+
- type: precision_at_10
|
| 954 |
+
value: 4.1770000000000005
|
| 955 |
+
- type: precision_at_100
|
| 956 |
+
value: 0.7100000000000001
|
| 957 |
+
- type: precision_at_1000
|
| 958 |
+
value: 0.104
|
| 959 |
+
- type: precision_at_3
|
| 960 |
+
value: 9.797
|
| 961 |
+
- type: precision_at_5
|
| 962 |
+
value: 6.839
|
| 963 |
+
- type: recall_at_1
|
| 964 |
+
value: 17.443
|
| 965 |
+
- type: recall_at_10
|
| 966 |
+
value: 36.22
|
| 967 |
+
- type: recall_at_100
|
| 968 |
+
value: 58.548
|
| 969 |
+
- type: recall_at_1000
|
| 970 |
+
value: 80.104
|
| 971 |
+
- type: recall_at_3
|
| 972 |
+
value: 25.995
|
| 973 |
+
- type: recall_at_5
|
| 974 |
+
value: 30.375999999999998
|
| 975 |
+
- task:
|
| 976 |
+
type: Retrieval
|
| 977 |
+
dataset:
|
| 978 |
+
type: climate-fever
|
| 979 |
+
name: MTEB ClimateFEVER
|
| 980 |
+
config: default
|
| 981 |
+
split: test
|
| 982 |
+
revision: None
|
| 983 |
+
metrics:
|
| 984 |
+
- type: map_at_1
|
| 985 |
+
value: 10.283000000000001
|
| 986 |
+
- type: map_at_10
|
| 987 |
+
value: 16.121
|
| 988 |
+
- type: map_at_100
|
| 989 |
+
value: 17.818
|
| 990 |
+
- type: map_at_1000
|
| 991 |
+
value: 18.015
|
| 992 |
+
- type: map_at_3
|
| 993 |
+
value: 13.655000000000001
|
| 994 |
+
- type: map_at_5
|
| 995 |
+
value: 14.854999999999999
|
| 996 |
+
- type: mrr_at_1
|
| 997 |
+
value: 22.15
|
| 998 |
+
- type: mrr_at_10
|
| 999 |
+
value: 31.139
|
| 1000 |
+
- type: mrr_at_100
|
| 1001 |
+
value: 32.336999999999996
|
| 1002 |
+
- type: mrr_at_1000
|
| 1003 |
+
value: 32.39
|
| 1004 |
+
- type: mrr_at_3
|
| 1005 |
+
value: 27.861000000000004
|
| 1006 |
+
- type: mrr_at_5
|
| 1007 |
+
value: 29.754
|
| 1008 |
+
- type: ndcg_at_1
|
| 1009 |
+
value: 22.15
|
| 1010 |
+
- type: ndcg_at_10
|
| 1011 |
+
value: 22.852
|
| 1012 |
+
- type: ndcg_at_100
|
| 1013 |
+
value: 30.233999999999998
|
| 1014 |
+
- type: ndcg_at_1000
|
| 1015 |
+
value: 34.02
|
| 1016 |
+
- type: ndcg_at_3
|
| 1017 |
+
value: 18.394
|
| 1018 |
+
- type: ndcg_at_5
|
| 1019 |
+
value: 19.973
|
| 1020 |
+
- type: precision_at_1
|
| 1021 |
+
value: 22.15
|
| 1022 |
+
- type: precision_at_10
|
| 1023 |
+
value: 6.912
|
| 1024 |
+
- type: precision_at_100
|
| 1025 |
+
value: 1.4829999999999999
|
| 1026 |
+
- type: precision_at_1000
|
| 1027 |
+
value: 0.218
|
| 1028 |
+
- type: precision_at_3
|
| 1029 |
+
value: 12.899
|
| 1030 |
+
- type: precision_at_5
|
| 1031 |
+
value: 10.111
|
| 1032 |
+
- type: recall_at_1
|
| 1033 |
+
value: 10.283000000000001
|
| 1034 |
+
- type: recall_at_10
|
| 1035 |
+
value: 27.587
|
| 1036 |
+
- type: recall_at_100
|
| 1037 |
+
value: 53.273
|
| 1038 |
+
- type: recall_at_1000
|
| 1039 |
+
value: 74.74499999999999
|
| 1040 |
+
- type: recall_at_3
|
| 1041 |
+
value: 16.897000000000002
|
| 1042 |
+
- type: recall_at_5
|
| 1043 |
+
value: 21.084
|
| 1044 |
+
- task:
|
| 1045 |
+
type: Retrieval
|
| 1046 |
+
dataset:
|
| 1047 |
+
type: dbpedia-entity
|
| 1048 |
+
name: MTEB DBPedia
|
| 1049 |
+
config: default
|
| 1050 |
+
split: test
|
| 1051 |
+
revision: None
|
| 1052 |
+
metrics:
|
| 1053 |
+
- type: map_at_1
|
| 1054 |
+
value: 9.038
|
| 1055 |
+
- type: map_at_10
|
| 1056 |
+
value: 20.153
|
| 1057 |
+
- type: map_at_100
|
| 1058 |
+
value: 28.610999999999997
|
| 1059 |
+
- type: map_at_1000
|
| 1060 |
+
value: 30.285
|
| 1061 |
+
- type: map_at_3
|
| 1062 |
+
value: 14.249
|
| 1063 |
+
- type: map_at_5
|
| 1064 |
+
value: 16.715
|
| 1065 |
+
- type: mrr_at_1
|
| 1066 |
+
value: 66.75
|
| 1067 |
+
- type: mrr_at_10
|
| 1068 |
+
value: 74.477
|
| 1069 |
+
- type: mrr_at_100
|
| 1070 |
+
value: 74.678
|
| 1071 |
+
- type: mrr_at_1000
|
| 1072 |
+
value: 74.695
|
| 1073 |
+
- type: mrr_at_3
|
| 1074 |
+
value: 72.625
|
| 1075 |
+
- type: mrr_at_5
|
| 1076 |
+
value: 73.8
|
| 1077 |
+
- type: ndcg_at_1
|
| 1078 |
+
value: 55.125
|
| 1079 |
+
- type: ndcg_at_10
|
| 1080 |
+
value: 41.837999999999994
|
| 1081 |
+
- type: ndcg_at_100
|
| 1082 |
+
value: 46.182
|
| 1083 |
+
- type: ndcg_at_1000
|
| 1084 |
+
value: 53.144000000000005
|
| 1085 |
+
- type: ndcg_at_3
|
| 1086 |
+
value: 46.084
|
| 1087 |
+
- type: ndcg_at_5
|
| 1088 |
+
value: 43.751
|
| 1089 |
+
- type: precision_at_1
|
| 1090 |
+
value: 66.75
|
| 1091 |
+
- type: precision_at_10
|
| 1092 |
+
value: 33.775
|
| 1093 |
+
- type: precision_at_100
|
| 1094 |
+
value: 10.803
|
| 1095 |
+
- type: precision_at_1000
|
| 1096 |
+
value: 2.191
|
| 1097 |
+
- type: precision_at_3
|
| 1098 |
+
value: 49.5
|
| 1099 |
+
- type: precision_at_5
|
| 1100 |
+
value: 42.4
|
| 1101 |
+
- type: recall_at_1
|
| 1102 |
+
value: 9.038
|
| 1103 |
+
- type: recall_at_10
|
| 1104 |
+
value: 25.988
|
| 1105 |
+
- type: recall_at_100
|
| 1106 |
+
value: 52.158
|
| 1107 |
+
- type: recall_at_1000
|
| 1108 |
+
value: 74.617
|
| 1109 |
+
- type: recall_at_3
|
| 1110 |
+
value: 15.675
|
| 1111 |
+
- type: recall_at_5
|
| 1112 |
+
value: 19.570999999999998
|
| 1113 |
+
- task:
|
| 1114 |
+
type: Retrieval
|
| 1115 |
+
dataset:
|
| 1116 |
+
type: fever
|
| 1117 |
+
name: MTEB FEVER
|
| 1118 |
+
config: default
|
| 1119 |
+
split: test
|
| 1120 |
+
revision: None
|
| 1121 |
+
metrics:
|
| 1122 |
+
- type: map_at_1
|
| 1123 |
+
value: 62.551
|
| 1124 |
+
- type: map_at_10
|
| 1125 |
+
value: 73.124
|
| 1126 |
+
- type: map_at_100
|
| 1127 |
+
value: 73.432
|
| 1128 |
+
- type: map_at_1000
|
| 1129 |
+
value: 73.447
|
| 1130 |
+
- type: map_at_3
|
| 1131 |
+
value: 71.297
|
| 1132 |
+
- type: map_at_5
|
| 1133 |
+
value: 72.489
|
| 1134 |
+
- type: mrr_at_1
|
| 1135 |
+
value: 67.23700000000001
|
| 1136 |
+
- type: mrr_at_10
|
| 1137 |
+
value: 77.438
|
| 1138 |
+
- type: mrr_at_100
|
| 1139 |
+
value: 77.645
|
| 1140 |
+
- type: mrr_at_1000
|
| 1141 |
+
value: 77.64999999999999
|
| 1142 |
+
- type: mrr_at_3
|
| 1143 |
+
value: 75.788
|
| 1144 |
+
- type: mrr_at_5
|
| 1145 |
+
value: 76.886
|
| 1146 |
+
- type: ndcg_at_1
|
| 1147 |
+
value: 67.23700000000001
|
| 1148 |
+
- type: ndcg_at_10
|
| 1149 |
+
value: 78.306
|
| 1150 |
+
- type: ndcg_at_100
|
| 1151 |
+
value: 79.526
|
| 1152 |
+
- type: ndcg_at_1000
|
| 1153 |
+
value: 79.825
|
| 1154 |
+
- type: ndcg_at_3
|
| 1155 |
+
value: 74.961
|
| 1156 |
+
- type: ndcg_at_5
|
| 1157 |
+
value: 76.91900000000001
|
| 1158 |
+
- type: precision_at_1
|
| 1159 |
+
value: 67.23700000000001
|
| 1160 |
+
- type: precision_at_10
|
| 1161 |
+
value: 9.875
|
| 1162 |
+
- type: precision_at_100
|
| 1163 |
+
value: 1.065
|
| 1164 |
+
- type: precision_at_1000
|
| 1165 |
+
value: 0.11
|
| 1166 |
+
- type: precision_at_3
|
| 1167 |
+
value: 29.353
|
| 1168 |
+
- type: precision_at_5
|
| 1169 |
+
value: 18.749
|
| 1170 |
+
- type: recall_at_1
|
| 1171 |
+
value: 62.551
|
| 1172 |
+
- type: recall_at_10
|
| 1173 |
+
value: 90.011
|
| 1174 |
+
- type: recall_at_100
|
| 1175 |
+
value: 95.06
|
| 1176 |
+
- type: recall_at_1000
|
| 1177 |
+
value: 97.033
|
| 1178 |
+
- type: recall_at_3
|
| 1179 |
+
value: 81.081
|
| 1180 |
+
- type: recall_at_5
|
| 1181 |
+
value: 85.87599999999999
|
| 1182 |
+
- task:
|
| 1183 |
+
type: Retrieval
|
| 1184 |
+
dataset:
|
| 1185 |
+
type: fiqa
|
| 1186 |
+
name: MTEB FiQA2018
|
| 1187 |
+
config: default
|
| 1188 |
+
split: test
|
| 1189 |
+
revision: None
|
| 1190 |
+
metrics:
|
| 1191 |
+
- type: map_at_1
|
| 1192 |
+
value: 17.636
|
| 1193 |
+
- type: map_at_10
|
| 1194 |
+
value: 28.627000000000002
|
| 1195 |
+
- type: map_at_100
|
| 1196 |
+
value: 30.262
|
| 1197 |
+
- type: map_at_1000
|
| 1198 |
+
value: 30.442000000000004
|
| 1199 |
+
- type: map_at_3
|
| 1200 |
+
value: 25.091
|
| 1201 |
+
- type: map_at_5
|
| 1202 |
+
value: 27.12
|
| 1203 |
+
- type: mrr_at_1
|
| 1204 |
+
value: 34.259
|
| 1205 |
+
- type: mrr_at_10
|
| 1206 |
+
value: 42.733
|
| 1207 |
+
- type: mrr_at_100
|
| 1208 |
+
value: 43.613
|
| 1209 |
+
- type: mrr_at_1000
|
| 1210 |
+
value: 43.663000000000004
|
| 1211 |
+
- type: mrr_at_3
|
| 1212 |
+
value: 40.406
|
| 1213 |
+
- type: mrr_at_5
|
| 1214 |
+
value: 41.687000000000005
|
| 1215 |
+
- type: ndcg_at_1
|
| 1216 |
+
value: 34.259
|
| 1217 |
+
- type: ndcg_at_10
|
| 1218 |
+
value: 35.613
|
| 1219 |
+
- type: ndcg_at_100
|
| 1220 |
+
value: 42.027
|
| 1221 |
+
- type: ndcg_at_1000
|
| 1222 |
+
value: 45.336999999999996
|
| 1223 |
+
- type: ndcg_at_3
|
| 1224 |
+
value: 32.435
|
| 1225 |
+
- type: ndcg_at_5
|
| 1226 |
+
value: 33.482
|
| 1227 |
+
- type: precision_at_1
|
| 1228 |
+
value: 34.259
|
| 1229 |
+
- type: precision_at_10
|
| 1230 |
+
value: 9.66
|
| 1231 |
+
- type: precision_at_100
|
| 1232 |
+
value: 1.6219999999999999
|
| 1233 |
+
- type: precision_at_1000
|
| 1234 |
+
value: 0.22300000000000003
|
| 1235 |
+
- type: precision_at_3
|
| 1236 |
+
value: 21.399
|
| 1237 |
+
- type: precision_at_5
|
| 1238 |
+
value: 15.741
|
| 1239 |
+
- type: recall_at_1
|
| 1240 |
+
value: 17.636
|
| 1241 |
+
- type: recall_at_10
|
| 1242 |
+
value: 41.955999999999996
|
| 1243 |
+
- type: recall_at_100
|
| 1244 |
+
value: 66.17
|
| 1245 |
+
- type: recall_at_1000
|
| 1246 |
+
value: 85.79599999999999
|
| 1247 |
+
- type: recall_at_3
|
| 1248 |
+
value: 29.853
|
| 1249 |
+
- type: recall_at_5
|
| 1250 |
+
value: 35.18
|
| 1251 |
+
- task:
|
| 1252 |
+
type: Retrieval
|
| 1253 |
+
dataset:
|
| 1254 |
+
type: hotpotqa
|
| 1255 |
+
name: MTEB HotpotQA
|
| 1256 |
+
config: default
|
| 1257 |
+
split: test
|
| 1258 |
+
revision: None
|
| 1259 |
+
metrics:
|
| 1260 |
+
- type: map_at_1
|
| 1261 |
+
value: 39.487
|
| 1262 |
+
- type: map_at_10
|
| 1263 |
+
value: 56.765
|
| 1264 |
+
- type: map_at_100
|
| 1265 |
+
value: 57.616
|
| 1266 |
+
- type: map_at_1000
|
| 1267 |
+
value: 57.679
|
| 1268 |
+
- type: map_at_3
|
| 1269 |
+
value: 53.616
|
| 1270 |
+
- type: map_at_5
|
| 1271 |
+
value: 55.623999999999995
|
| 1272 |
+
- type: mrr_at_1
|
| 1273 |
+
value: 78.974
|
| 1274 |
+
- type: mrr_at_10
|
| 1275 |
+
value: 84.622
|
| 1276 |
+
- type: mrr_at_100
|
| 1277 |
+
value: 84.776
|
| 1278 |
+
- type: mrr_at_1000
|
| 1279 |
+
value: 84.783
|
| 1280 |
+
- type: mrr_at_3
|
| 1281 |
+
value: 83.747
|
| 1282 |
+
- type: mrr_at_5
|
| 1283 |
+
value: 84.27900000000001
|
| 1284 |
+
- type: ndcg_at_1
|
| 1285 |
+
value: 78.974
|
| 1286 |
+
- type: ndcg_at_10
|
| 1287 |
+
value: 66.164
|
| 1288 |
+
- type: ndcg_at_100
|
| 1289 |
+
value: 69.03099999999999
|
| 1290 |
+
- type: ndcg_at_1000
|
| 1291 |
+
value: 70.261
|
| 1292 |
+
- type: ndcg_at_3
|
| 1293 |
+
value: 61.712
|
| 1294 |
+
- type: ndcg_at_5
|
| 1295 |
+
value: 64.22
|
| 1296 |
+
- type: precision_at_1
|
| 1297 |
+
value: 78.974
|
| 1298 |
+
- type: precision_at_10
|
| 1299 |
+
value: 13.520999999999999
|
| 1300 |
+
- type: precision_at_100
|
| 1301 |
+
value: 1.575
|
| 1302 |
+
- type: precision_at_1000
|
| 1303 |
+
value: 0.174
|
| 1304 |
+
- type: precision_at_3
|
| 1305 |
+
value: 38.501000000000005
|
| 1306 |
+
- type: precision_at_5
|
| 1307 |
+
value: 25.083
|
| 1308 |
+
- type: recall_at_1
|
| 1309 |
+
value: 39.487
|
| 1310 |
+
- type: recall_at_10
|
| 1311 |
+
value: 67.60300000000001
|
| 1312 |
+
- type: recall_at_100
|
| 1313 |
+
value: 78.744
|
| 1314 |
+
- type: recall_at_1000
|
| 1315 |
+
value: 86.914
|
| 1316 |
+
- type: recall_at_3
|
| 1317 |
+
value: 57.752
|
| 1318 |
+
- type: recall_at_5
|
| 1319 |
+
value: 62.708
|
| 1320 |
+
- task:
|
| 1321 |
+
type: Retrieval
|
| 1322 |
+
dataset:
|
| 1323 |
+
type: msmarco
|
| 1324 |
+
name: MTEB MSMARCO
|
| 1325 |
+
config: default
|
| 1326 |
+
split: dev
|
| 1327 |
+
revision: None
|
| 1328 |
+
metrics:
|
| 1329 |
+
- type: map_at_1
|
| 1330 |
+
value: 24.224999999999998
|
| 1331 |
+
- type: map_at_10
|
| 1332 |
+
value: 37.791000000000004
|
| 1333 |
+
- type: map_at_100
|
| 1334 |
+
value: 38.899
|
| 1335 |
+
- type: map_at_1000
|
| 1336 |
+
value: 38.937
|
| 1337 |
+
- type: map_at_3
|
| 1338 |
+
value: 33.584
|
| 1339 |
+
- type: map_at_5
|
| 1340 |
+
value: 36.142
|
| 1341 |
+
- type: mrr_at_1
|
| 1342 |
+
value: 24.871
|
| 1343 |
+
- type: mrr_at_10
|
| 1344 |
+
value: 38.361000000000004
|
| 1345 |
+
- type: mrr_at_100
|
| 1346 |
+
value: 39.394
|
| 1347 |
+
- type: mrr_at_1000
|
| 1348 |
+
value: 39.427
|
| 1349 |
+
- type: mrr_at_3
|
| 1350 |
+
value: 34.224
|
| 1351 |
+
- type: mrr_at_5
|
| 1352 |
+
value: 36.767
|
| 1353 |
+
- type: ndcg_at_1
|
| 1354 |
+
value: 24.871
|
| 1355 |
+
- type: ndcg_at_10
|
| 1356 |
+
value: 45.231
|
| 1357 |
+
- type: ndcg_at_100
|
| 1358 |
+
value: 50.42100000000001
|
| 1359 |
+
- type: ndcg_at_1000
|
| 1360 |
+
value: 51.329
|
| 1361 |
+
- type: ndcg_at_3
|
| 1362 |
+
value: 36.77
|
| 1363 |
+
- type: ndcg_at_5
|
| 1364 |
+
value: 41.33
|
| 1365 |
+
- type: precision_at_1
|
| 1366 |
+
value: 24.871
|
| 1367 |
+
- type: precision_at_10
|
| 1368 |
+
value: 7.124999999999999
|
| 1369 |
+
- type: precision_at_100
|
| 1370 |
+
value: 0.971
|
| 1371 |
+
- type: precision_at_1000
|
| 1372 |
+
value: 0.105
|
| 1373 |
+
- type: precision_at_3
|
| 1374 |
+
value: 15.659
|
| 1375 |
+
- type: precision_at_5
|
| 1376 |
+
value: 11.708
|
| 1377 |
+
- type: recall_at_1
|
| 1378 |
+
value: 24.224999999999998
|
| 1379 |
+
- type: recall_at_10
|
| 1380 |
+
value: 68.081
|
| 1381 |
+
- type: recall_at_100
|
| 1382 |
+
value: 91.818
|
| 1383 |
+
- type: recall_at_1000
|
| 1384 |
+
value: 98.65
|
| 1385 |
+
- type: recall_at_3
|
| 1386 |
+
value: 45.355000000000004
|
| 1387 |
+
- type: recall_at_5
|
| 1388 |
+
value: 56.26
|
| 1389 |
+
- task:
|
| 1390 |
+
type: Retrieval
|
| 1391 |
+
dataset:
|
| 1392 |
+
type: nfcorpus
|
| 1393 |
+
name: MTEB NFCorpus
|
| 1394 |
+
config: default
|
| 1395 |
+
split: test
|
| 1396 |
+
revision: None
|
| 1397 |
+
metrics:
|
| 1398 |
+
- type: map_at_1
|
| 1399 |
+
value: 5.904
|
| 1400 |
+
- type: map_at_10
|
| 1401 |
+
value: 12.784
|
| 1402 |
+
- type: map_at_100
|
| 1403 |
+
value: 15.628
|
| 1404 |
+
- type: map_at_1000
|
| 1405 |
+
value: 17.006
|
| 1406 |
+
- type: map_at_3
|
| 1407 |
+
value: 9.695
|
| 1408 |
+
- type: map_at_5
|
| 1409 |
+
value: 10.961
|
| 1410 |
+
- type: mrr_at_1
|
| 1411 |
+
value: 46.44
|
| 1412 |
+
- type: mrr_at_10
|
| 1413 |
+
value: 54.106
|
| 1414 |
+
- type: mrr_at_100
|
| 1415 |
+
value: 54.81700000000001
|
| 1416 |
+
- type: mrr_at_1000
|
| 1417 |
+
value: 54.858
|
| 1418 |
+
- type: mrr_at_3
|
| 1419 |
+
value: 52.837999999999994
|
| 1420 |
+
- type: mrr_at_5
|
| 1421 |
+
value: 53.627
|
| 1422 |
+
- type: ndcg_at_1
|
| 1423 |
+
value: 44.737
|
| 1424 |
+
- type: ndcg_at_10
|
| 1425 |
+
value: 33.967999999999996
|
| 1426 |
+
- type: ndcg_at_100
|
| 1427 |
+
value: 30.451
|
| 1428 |
+
- type: ndcg_at_1000
|
| 1429 |
+
value: 39.151
|
| 1430 |
+
- type: ndcg_at_3
|
| 1431 |
+
value: 39.871
|
| 1432 |
+
- type: ndcg_at_5
|
| 1433 |
+
value: 37.138
|
| 1434 |
+
- type: precision_at_1
|
| 1435 |
+
value: 46.44
|
| 1436 |
+
- type: precision_at_10
|
| 1437 |
+
value: 24.582
|
| 1438 |
+
- type: precision_at_100
|
| 1439 |
+
value: 7.715
|
| 1440 |
+
- type: precision_at_1000
|
| 1441 |
+
value: 2.0500000000000003
|
| 1442 |
+
- type: precision_at_3
|
| 1443 |
+
value: 37.461
|
| 1444 |
+
- type: precision_at_5
|
| 1445 |
+
value: 31.517
|
| 1446 |
+
- type: recall_at_1
|
| 1447 |
+
value: 5.904
|
| 1448 |
+
- type: recall_at_10
|
| 1449 |
+
value: 16.522000000000002
|
| 1450 |
+
- type: recall_at_100
|
| 1451 |
+
value: 29.413
|
| 1452 |
+
- type: recall_at_1000
|
| 1453 |
+
value: 61.611000000000004
|
| 1454 |
+
- type: recall_at_3
|
| 1455 |
+
value: 10.649000000000001
|
| 1456 |
+
- type: recall_at_5
|
| 1457 |
+
value: 12.642999999999999
|
| 1458 |
+
- task:
|
| 1459 |
+
type: Retrieval
|
| 1460 |
+
dataset:
|
| 1461 |
+
type: nq
|
| 1462 |
+
name: MTEB NQ
|
| 1463 |
+
config: default
|
| 1464 |
+
split: test
|
| 1465 |
+
revision: None
|
| 1466 |
+
metrics:
|
| 1467 |
+
- type: map_at_1
|
| 1468 |
+
value: 31.561
|
| 1469 |
+
- type: map_at_10
|
| 1470 |
+
value: 46.406
|
| 1471 |
+
- type: map_at_100
|
| 1472 |
+
value: 47.499
|
| 1473 |
+
- type: map_at_1000
|
| 1474 |
+
value: 47.526
|
| 1475 |
+
- type: map_at_3
|
| 1476 |
+
value: 42.26
|
| 1477 |
+
- type: map_at_5
|
| 1478 |
+
value: 44.724000000000004
|
| 1479 |
+
- type: mrr_at_1
|
| 1480 |
+
value: 35.168
|
| 1481 |
+
- type: mrr_at_10
|
| 1482 |
+
value: 48.914
|
| 1483 |
+
- type: mrr_at_100
|
| 1484 |
+
value: 49.727
|
| 1485 |
+
- type: mrr_at_1000
|
| 1486 |
+
value: 49.744
|
| 1487 |
+
- type: mrr_at_3
|
| 1488 |
+
value: 45.418
|
| 1489 |
+
- type: mrr_at_5
|
| 1490 |
+
value: 47.53
|
| 1491 |
+
- type: ndcg_at_1
|
| 1492 |
+
value: 35.138999999999996
|
| 1493 |
+
- type: ndcg_at_10
|
| 1494 |
+
value: 53.943
|
| 1495 |
+
- type: ndcg_at_100
|
| 1496 |
+
value: 58.50300000000001
|
| 1497 |
+
- type: ndcg_at_1000
|
| 1498 |
+
value: 59.144
|
| 1499 |
+
- type: ndcg_at_3
|
| 1500 |
+
value: 46.135999999999996
|
| 1501 |
+
- type: ndcg_at_5
|
| 1502 |
+
value: 50.227999999999994
|
| 1503 |
+
- type: precision_at_1
|
| 1504 |
+
value: 35.138999999999996
|
| 1505 |
+
- type: precision_at_10
|
| 1506 |
+
value: 8.812000000000001
|
| 1507 |
+
- type: precision_at_100
|
| 1508 |
+
value: 1.138
|
| 1509 |
+
- type: precision_at_1000
|
| 1510 |
+
value: 0.12
|
| 1511 |
+
- type: precision_at_3
|
| 1512 |
+
value: 20.867
|
| 1513 |
+
- type: precision_at_5
|
| 1514 |
+
value: 14.878
|
| 1515 |
+
- type: recall_at_1
|
| 1516 |
+
value: 31.561
|
| 1517 |
+
- type: recall_at_10
|
| 1518 |
+
value: 74.343
|
| 1519 |
+
- type: recall_at_100
|
| 1520 |
+
value: 93.975
|
| 1521 |
+
- type: recall_at_1000
|
| 1522 |
+
value: 98.75699999999999
|
| 1523 |
+
- type: recall_at_3
|
| 1524 |
+
value: 54.169
|
| 1525 |
+
- type: recall_at_5
|
| 1526 |
+
value: 63.56
|
| 1527 |
+
- task:
|
| 1528 |
+
type: Retrieval
|
| 1529 |
+
dataset:
|
| 1530 |
+
type: quora
|
| 1531 |
+
name: MTEB QuoraRetrieval
|
| 1532 |
+
config: default
|
| 1533 |
+
split: test
|
| 1534 |
+
revision: None
|
| 1535 |
+
metrics:
|
| 1536 |
+
- type: map_at_1
|
| 1537 |
+
value: 69.753
|
| 1538 |
+
- type: map_at_10
|
| 1539 |
+
value: 83.56400000000001
|
| 1540 |
+
- type: map_at_100
|
| 1541 |
+
value: 84.19200000000001
|
| 1542 |
+
- type: map_at_1000
|
| 1543 |
+
value: 84.211
|
| 1544 |
+
- type: map_at_3
|
| 1545 |
+
value: 80.568
|
| 1546 |
+
- type: map_at_5
|
| 1547 |
+
value: 82.44500000000001
|
| 1548 |
+
- type: mrr_at_1
|
| 1549 |
+
value: 79.99000000000001
|
| 1550 |
+
- type: mrr_at_10
|
| 1551 |
+
value: 86.542
|
| 1552 |
+
- type: mrr_at_100
|
| 1553 |
+
value: 86.655
|
| 1554 |
+
- type: mrr_at_1000
|
| 1555 |
+
value: 86.656
|
| 1556 |
+
- type: mrr_at_3
|
| 1557 |
+
value: 85.505
|
| 1558 |
+
- type: mrr_at_5
|
| 1559 |
+
value: 86.21
|
| 1560 |
+
- type: ndcg_at_1
|
| 1561 |
+
value: 79.99000000000001
|
| 1562 |
+
- type: ndcg_at_10
|
| 1563 |
+
value: 87.449
|
| 1564 |
+
- type: ndcg_at_100
|
| 1565 |
+
value: 88.739
|
| 1566 |
+
- type: ndcg_at_1000
|
| 1567 |
+
value: 88.87
|
| 1568 |
+
- type: ndcg_at_3
|
| 1569 |
+
value: 84.418
|
| 1570 |
+
- type: ndcg_at_5
|
| 1571 |
+
value: 86.09599999999999
|
| 1572 |
+
- type: precision_at_1
|
| 1573 |
+
value: 79.99000000000001
|
| 1574 |
+
- type: precision_at_10
|
| 1575 |
+
value: 13.236999999999998
|
| 1576 |
+
- type: precision_at_100
|
| 1577 |
+
value: 1.516
|
| 1578 |
+
- type: precision_at_1000
|
| 1579 |
+
value: 0.156
|
| 1580 |
+
- type: precision_at_3
|
| 1581 |
+
value: 36.736999999999995
|
| 1582 |
+
- type: precision_at_5
|
| 1583 |
+
value: 24.227999999999998
|
| 1584 |
+
- type: recall_at_1
|
| 1585 |
+
value: 69.753
|
| 1586 |
+
- type: recall_at_10
|
| 1587 |
+
value: 94.967
|
| 1588 |
+
- type: recall_at_100
|
| 1589 |
+
value: 99.378
|
| 1590 |
+
- type: recall_at_1000
|
| 1591 |
+
value: 99.953
|
| 1592 |
+
- type: recall_at_3
|
| 1593 |
+
value: 86.408
|
| 1594 |
+
- type: recall_at_5
|
| 1595 |
+
value: 91.03
|
| 1596 |
+
- task:
|
| 1597 |
+
type: Retrieval
|
| 1598 |
+
dataset:
|
| 1599 |
+
type: scidocs
|
| 1600 |
+
name: MTEB SCIDOCS
|
| 1601 |
+
config: default
|
| 1602 |
+
split: test
|
| 1603 |
+
revision: None
|
| 1604 |
+
metrics:
|
| 1605 |
+
- type: map_at_1
|
| 1606 |
+
value: 3.8080000000000003
|
| 1607 |
+
- type: map_at_10
|
| 1608 |
+
value: 9.222
|
| 1609 |
+
- type: map_at_100
|
| 1610 |
+
value: 10.779
|
| 1611 |
+
- type: map_at_1000
|
| 1612 |
+
value: 11.027000000000001
|
| 1613 |
+
- type: map_at_3
|
| 1614 |
+
value: 6.729
|
| 1615 |
+
- type: map_at_5
|
| 1616 |
+
value: 7.872999999999999
|
| 1617 |
+
- type: mrr_at_1
|
| 1618 |
+
value: 18.7
|
| 1619 |
+
- type: mrr_at_10
|
| 1620 |
+
value: 28.084999999999997
|
| 1621 |
+
- type: mrr_at_100
|
| 1622 |
+
value: 29.134999999999998
|
| 1623 |
+
- type: mrr_at_1000
|
| 1624 |
+
value: 29.214000000000002
|
| 1625 |
+
- type: mrr_at_3
|
| 1626 |
+
value: 24.917
|
| 1627 |
+
- type: mrr_at_5
|
| 1628 |
+
value: 26.651999999999997
|
| 1629 |
+
- type: ndcg_at_1
|
| 1630 |
+
value: 18.7
|
| 1631 |
+
- type: ndcg_at_10
|
| 1632 |
+
value: 15.969
|
| 1633 |
+
- type: ndcg_at_100
|
| 1634 |
+
value: 22.535
|
| 1635 |
+
- type: ndcg_at_1000
|
| 1636 |
+
value: 27.337
|
| 1637 |
+
- type: ndcg_at_3
|
| 1638 |
+
value: 15.112
|
| 1639 |
+
- type: ndcg_at_5
|
| 1640 |
+
value: 13.089
|
| 1641 |
+
- type: precision_at_1
|
| 1642 |
+
value: 18.7
|
| 1643 |
+
- type: precision_at_10
|
| 1644 |
+
value: 8.32
|
| 1645 |
+
- type: precision_at_100
|
| 1646 |
+
value: 1.786
|
| 1647 |
+
- type: precision_at_1000
|
| 1648 |
+
value: 0.293
|
| 1649 |
+
- type: precision_at_3
|
| 1650 |
+
value: 14.099999999999998
|
| 1651 |
+
- type: precision_at_5
|
| 1652 |
+
value: 11.42
|
| 1653 |
+
- type: recall_at_1
|
| 1654 |
+
value: 3.8080000000000003
|
| 1655 |
+
- type: recall_at_10
|
| 1656 |
+
value: 16.872
|
| 1657 |
+
- type: recall_at_100
|
| 1658 |
+
value: 36.235
|
| 1659 |
+
- type: recall_at_1000
|
| 1660 |
+
value: 59.587
|
| 1661 |
+
- type: recall_at_3
|
| 1662 |
+
value: 8.583
|
| 1663 |
+
- type: recall_at_5
|
| 1664 |
+
value: 11.562999999999999
|
| 1665 |
+
- task:
|
| 1666 |
+
type: Retrieval
|
| 1667 |
+
dataset:
|
| 1668 |
+
type: scifact
|
| 1669 |
+
name: MTEB SciFact
|
| 1670 |
+
config: default
|
| 1671 |
+
split: test
|
| 1672 |
+
revision: None
|
| 1673 |
+
metrics:
|
| 1674 |
+
- type: map_at_1
|
| 1675 |
+
value: 53.994
|
| 1676 |
+
- type: map_at_10
|
| 1677 |
+
value: 63.56
|
| 1678 |
+
- type: map_at_100
|
| 1679 |
+
value: 64.247
|
| 1680 |
+
- type: map_at_1000
|
| 1681 |
+
value: 64.275
|
| 1682 |
+
- type: map_at_3
|
| 1683 |
+
value: 61.23499999999999
|
| 1684 |
+
- type: map_at_5
|
| 1685 |
+
value: 62.638000000000005
|
| 1686 |
+
- type: mrr_at_1
|
| 1687 |
+
value: 57.333
|
| 1688 |
+
- type: mrr_at_10
|
| 1689 |
+
value: 65.23299999999999
|
| 1690 |
+
- type: mrr_at_100
|
| 1691 |
+
value: 65.762
|
| 1692 |
+
- type: mrr_at_1000
|
| 1693 |
+
value: 65.78699999999999
|
| 1694 |
+
- type: mrr_at_3
|
| 1695 |
+
value: 63.556000000000004
|
| 1696 |
+
- type: mrr_at_5
|
| 1697 |
+
value: 64.572
|
| 1698 |
+
- type: ndcg_at_1
|
| 1699 |
+
value: 57.333
|
| 1700 |
+
- type: ndcg_at_10
|
| 1701 |
+
value: 67.88300000000001
|
| 1702 |
+
- type: ndcg_at_100
|
| 1703 |
+
value: 70.99
|
| 1704 |
+
- type: ndcg_at_1000
|
| 1705 |
+
value: 71.66
|
| 1706 |
+
- type: ndcg_at_3
|
| 1707 |
+
value: 64.16
|
| 1708 |
+
- type: ndcg_at_5
|
| 1709 |
+
value: 66.042
|
| 1710 |
+
- type: precision_at_1
|
| 1711 |
+
value: 57.333
|
| 1712 |
+
- type: precision_at_10
|
| 1713 |
+
value: 8.967
|
| 1714 |
+
- type: precision_at_100
|
| 1715 |
+
value: 1.06
|
| 1716 |
+
- type: precision_at_1000
|
| 1717 |
+
value: 0.11199999999999999
|
| 1718 |
+
- type: precision_at_3
|
| 1719 |
+
value: 25.222
|
| 1720 |
+
- type: precision_at_5
|
| 1721 |
+
value: 16.467000000000002
|
| 1722 |
+
- type: recall_at_1
|
| 1723 |
+
value: 53.994
|
| 1724 |
+
- type: recall_at_10
|
| 1725 |
+
value: 79.289
|
| 1726 |
+
- type: recall_at_100
|
| 1727 |
+
value: 93.533
|
| 1728 |
+
- type: recall_at_1000
|
| 1729 |
+
value: 98.667
|
| 1730 |
+
- type: recall_at_3
|
| 1731 |
+
value: 69.267
|
| 1732 |
+
- type: recall_at_5
|
| 1733 |
+
value: 74.128
|
| 1734 |
+
- task:
|
| 1735 |
+
type: Retrieval
|
| 1736 |
+
dataset:
|
| 1737 |
+
type: trec-covid
|
| 1738 |
+
name: MTEB TRECCOVID
|
| 1739 |
+
config: default
|
| 1740 |
+
split: test
|
| 1741 |
+
revision: None
|
| 1742 |
+
metrics:
|
| 1743 |
+
- type: map_at_1
|
| 1744 |
+
value: 0.212
|
| 1745 |
+
- type: map_at_10
|
| 1746 |
+
value: 1.925
|
| 1747 |
+
- type: map_at_100
|
| 1748 |
+
value: 9.235
|
| 1749 |
+
- type: map_at_1000
|
| 1750 |
+
value: 22.111
|
| 1751 |
+
- type: map_at_3
|
| 1752 |
+
value: 0.626
|
| 1753 |
+
- type: map_at_5
|
| 1754 |
+
value: 1.031
|
| 1755 |
+
- type: mrr_at_1
|
| 1756 |
+
value: 82.0
|
| 1757 |
+
- type: mrr_at_10
|
| 1758 |
+
value: 90.5
|
| 1759 |
+
- type: mrr_at_100
|
| 1760 |
+
value: 90.5
|
| 1761 |
+
- type: mrr_at_1000
|
| 1762 |
+
value: 90.5
|
| 1763 |
+
- type: mrr_at_3
|
| 1764 |
+
value: 90.0
|
| 1765 |
+
- type: mrr_at_5
|
| 1766 |
+
value: 90.5
|
| 1767 |
+
- type: ndcg_at_1
|
| 1768 |
+
value: 75.0
|
| 1769 |
+
- type: ndcg_at_10
|
| 1770 |
+
value: 75.851
|
| 1771 |
+
- type: ndcg_at_100
|
| 1772 |
+
value: 53.190000000000005
|
| 1773 |
+
- type: ndcg_at_1000
|
| 1774 |
+
value: 45.507999999999996
|
| 1775 |
+
- type: ndcg_at_3
|
| 1776 |
+
value: 80.19500000000001
|
| 1777 |
+
- type: ndcg_at_5
|
| 1778 |
+
value: 78.448
|
| 1779 |
+
- type: precision_at_1
|
| 1780 |
+
value: 82.0
|
| 1781 |
+
- type: precision_at_10
|
| 1782 |
+
value: 82.6
|
| 1783 |
+
- type: precision_at_100
|
| 1784 |
+
value: 54.48
|
| 1785 |
+
- type: precision_at_1000
|
| 1786 |
+
value: 20.785999999999998
|
| 1787 |
+
- type: precision_at_3
|
| 1788 |
+
value: 86.667
|
| 1789 |
+
- type: precision_at_5
|
| 1790 |
+
value: 85.2
|
| 1791 |
+
- type: recall_at_1
|
| 1792 |
+
value: 0.212
|
| 1793 |
+
- type: recall_at_10
|
| 1794 |
+
value: 2.13
|
| 1795 |
+
- type: recall_at_100
|
| 1796 |
+
value: 12.152000000000001
|
| 1797 |
+
- type: recall_at_1000
|
| 1798 |
+
value: 42.403
|
| 1799 |
+
- type: recall_at_3
|
| 1800 |
+
value: 0.6689999999999999
|
| 1801 |
+
- type: recall_at_5
|
| 1802 |
+
value: 1.121
|
| 1803 |
+
- task:
|
| 1804 |
+
type: Retrieval
|
| 1805 |
+
dataset:
|
| 1806 |
+
type: webis-touche2020
|
| 1807 |
+
name: MTEB Touche2020
|
| 1808 |
+
config: default
|
| 1809 |
+
split: test
|
| 1810 |
+
revision: None
|
| 1811 |
+
metrics:
|
| 1812 |
+
- type: map_at_1
|
| 1813 |
+
value: 2.701
|
| 1814 |
+
- type: map_at_10
|
| 1815 |
+
value: 10.488999999999999
|
| 1816 |
+
- type: map_at_100
|
| 1817 |
+
value: 17.258000000000003
|
| 1818 |
+
- type: map_at_1000
|
| 1819 |
+
value: 18.797
|
| 1820 |
+
- type: map_at_3
|
| 1821 |
+
value: 5.563
|
| 1822 |
+
- type: map_at_5
|
| 1823 |
+
value: 7.268
|
| 1824 |
+
- type: mrr_at_1
|
| 1825 |
+
value: 30.612000000000002
|
| 1826 |
+
- type: mrr_at_10
|
| 1827 |
+
value: 48.197
|
| 1828 |
+
- type: mrr_at_100
|
| 1829 |
+
value: 48.762
|
| 1830 |
+
- type: mrr_at_1000
|
| 1831 |
+
value: 48.762
|
| 1832 |
+
- type: mrr_at_3
|
| 1833 |
+
value: 44.218
|
| 1834 |
+
- type: mrr_at_5
|
| 1835 |
+
value: 46.666999999999994
|
| 1836 |
+
- type: ndcg_at_1
|
| 1837 |
+
value: 28.571
|
| 1838 |
+
- type: ndcg_at_10
|
| 1839 |
+
value: 26.512
|
| 1840 |
+
- type: ndcg_at_100
|
| 1841 |
+
value: 38.356
|
| 1842 |
+
- type: ndcg_at_1000
|
| 1843 |
+
value: 49.57
|
| 1844 |
+
- type: ndcg_at_3
|
| 1845 |
+
value: 27.704
|
| 1846 |
+
- type: ndcg_at_5
|
| 1847 |
+
value: 27.342
|
| 1848 |
+
- type: precision_at_1
|
| 1849 |
+
value: 30.612000000000002
|
| 1850 |
+
- type: precision_at_10
|
| 1851 |
+
value: 24.285999999999998
|
| 1852 |
+
- type: precision_at_100
|
| 1853 |
+
value: 8.0
|
| 1854 |
+
- type: precision_at_1000
|
| 1855 |
+
value: 1.541
|
| 1856 |
+
- type: precision_at_3
|
| 1857 |
+
value: 29.252
|
| 1858 |
+
- type: precision_at_5
|
| 1859 |
+
value: 27.346999999999998
|
| 1860 |
+
- type: recall_at_1
|
| 1861 |
+
value: 2.701
|
| 1862 |
+
- type: recall_at_10
|
| 1863 |
+
value: 17.197000000000003
|
| 1864 |
+
- type: recall_at_100
|
| 1865 |
+
value: 49.061
|
| 1866 |
+
- type: recall_at_1000
|
| 1867 |
+
value: 82.82300000000001
|
| 1868 |
+
- type: recall_at_3
|
| 1869 |
+
value: 6.687
|
| 1870 |
+
- type: recall_at_5
|
| 1871 |
+
value: 9.868
|
| 1872 |
---
|
| 1873 |
DRAGON+ is a BERT-base sized dense retriever initialized from [RetroMAE](https://huggingface.co/Shitao/RetroMAE) and further trained on the data augmented from MS MARCO corpus, following the approach described in [How to Train Your DRAGON:
|
| 1874 |
Diverse Augmentation Towards Generalizable Dense Retrieval](https://arxiv.org/abs/2302.07452).
|