Update README.md
Browse files
README.md
CHANGED
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@@ -1,11 +1,2306 @@
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---
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tags:
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- sentence-transformers
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- sentence-similarity
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- feature-extraction
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- generated_from_trainer
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- dataset_size:2560000
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- loss:MultipleNegativesRankingLoss
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|
| 9 |
widget:
|
| 10 |
- source_sentence: ما هي أفضل الفنادق في ايبوهبالقرب من Ipoh Parade Shopping Centre؟
|
| 11 |
sentences:
|
|
@@ -77,6 +2372,7 @@ widget:
|
|
| 77 |
Zustand autoklaviert werden.
|
| 78 |
pipeline_tag: sentence-similarity
|
| 79 |
library_name: sentence-transformers
|
|
|
|
| 80 |
---
|
| 81 |
|
| 82 |
# SentenceTransformer
|
|
@@ -87,13 +2383,13 @@ This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps
|
|
| 87 |
|
| 88 |
### Model Description
|
| 89 |
- **Model Type:** Sentence Transformer
|
| 90 |
-
|
| 91 |
- **Maximum Sequence Length:** 512 tokens
|
| 92 |
- **Output Dimensionality:** 768 dimensions
|
| 93 |
- **Similarity Function:** Cosine Similarity
|
| 94 |
-
|
| 95 |
<!-- - **Language:** Unknown -->
|
| 96 |
-
|
| 97 |
|
| 98 |
### Model Sources
|
| 99 |
|
|
@@ -125,7 +2421,7 @@ Then you can load this model and run inference.
|
|
| 125 |
from sentence_transformers import SentenceTransformer
|
| 126 |
|
| 127 |
# Download from the 🤗 Hub
|
| 128 |
-
model = SentenceTransformer("
|
| 129 |
# Run inference
|
| 130 |
sentences = [
|
| 131 |
'Muss der Deckel der TipBox beim Autoklavieren geöffnet werden?',
|
|
|
|
| 1 |
---
|
| 2 |
tags:
|
| 3 |
+
- mteb
|
| 4 |
- sentence-transformers
|
| 5 |
- sentence-similarity
|
| 6 |
- feature-extraction
|
| 7 |
- generated_from_trainer
|
| 8 |
- dataset_size:2560000
|
| 9 |
- loss:MultipleNegativesRankingLoss
|
| 10 |
+
model-index:
|
| 11 |
+
- name: .
|
| 12 |
+
results:
|
| 13 |
+
- task:
|
| 14 |
+
type: retrieval
|
| 15 |
+
dataset:
|
| 16 |
+
type: mteb/miracl-hard-negatives
|
| 17 |
+
name: MTEB MIRACLRetrievalHardNegatives (ar)
|
| 18 |
+
config: ar
|
| 19 |
+
split: dev
|
| 20 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 21 |
+
metrics:
|
| 22 |
+
- type: map_at_1
|
| 23 |
+
value: 17.861
|
| 24 |
+
- type: map_at_10
|
| 25 |
+
value: 28.733999999999998
|
| 26 |
+
- type: map_at_100
|
| 27 |
+
value: 30.482
|
| 28 |
+
- type: map_at_1000
|
| 29 |
+
value: 30.616
|
| 30 |
+
- type: map_at_20
|
| 31 |
+
value: 29.717
|
| 32 |
+
- type: map_at_3
|
| 33 |
+
value: 24.617
|
| 34 |
+
- type: map_at_5
|
| 35 |
+
value: 26.654
|
| 36 |
+
- type: mrr_at_1
|
| 37 |
+
value: 26.900000000000002
|
| 38 |
+
- type: mrr_at_10
|
| 39 |
+
value: 37.138
|
| 40 |
+
- type: mrr_at_100
|
| 41 |
+
value: 38.157999999999994
|
| 42 |
+
- type: mrr_at_1000
|
| 43 |
+
value: 38.204
|
| 44 |
+
- type: mrr_at_20
|
| 45 |
+
value: 37.808
|
| 46 |
+
- type: mrr_at_3
|
| 47 |
+
value: 33.717000000000006
|
| 48 |
+
- type: mrr_at_5
|
| 49 |
+
value: 35.632000000000005
|
| 50 |
+
- type: ndcg_at_1
|
| 51 |
+
value: 26.900000000000002
|
| 52 |
+
- type: ndcg_at_10
|
| 53 |
+
value: 36.125
|
| 54 |
+
- type: ndcg_at_100
|
| 55 |
+
value: 43.043
|
| 56 |
+
- type: ndcg_at_1000
|
| 57 |
+
value: 45.611000000000004
|
| 58 |
+
- type: ndcg_at_20
|
| 59 |
+
value: 39.055
|
| 60 |
+
- type: ndcg_at_3
|
| 61 |
+
value: 29.372
|
| 62 |
+
- type: ndcg_at_5
|
| 63 |
+
value: 32.015
|
| 64 |
+
- type: precision_at_1
|
| 65 |
+
value: 26.900000000000002
|
| 66 |
+
- type: precision_at_10
|
| 67 |
+
value: 8.59
|
| 68 |
+
- type: precision_at_100
|
| 69 |
+
value: 1.444
|
| 70 |
+
- type: precision_at_1000
|
| 71 |
+
value: 0.181
|
| 72 |
+
- type: precision_at_20
|
| 73 |
+
value: 5.295
|
| 74 |
+
- type: precision_at_3
|
| 75 |
+
value: 16.933
|
| 76 |
+
- type: precision_at_5
|
| 77 |
+
value: 12.839999999999998
|
| 78 |
+
- type: recall_at_1
|
| 79 |
+
value: 17.861
|
| 80 |
+
- type: recall_at_10
|
| 81 |
+
value: 49.175999999999995
|
| 82 |
+
- type: recall_at_100
|
| 83 |
+
value: 76.28399999999999
|
| 84 |
+
- type: recall_at_1000
|
| 85 |
+
value: 92.905
|
| 86 |
+
- type: recall_at_20
|
| 87 |
+
value: 58.755
|
| 88 |
+
- type: recall_at_3
|
| 89 |
+
value: 31.334
|
| 90 |
+
- type: recall_at_5
|
| 91 |
+
value: 38.217
|
| 92 |
+
- task:
|
| 93 |
+
type: retrieval
|
| 94 |
+
dataset:
|
| 95 |
+
type: mteb/mrtydi
|
| 96 |
+
name: MTEB MrTydiRetrieval (arabic)
|
| 97 |
+
config: arabic
|
| 98 |
+
split: test
|
| 99 |
+
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 100 |
+
metrics:
|
| 101 |
+
- type: map_at_1
|
| 102 |
+
value: 16.744
|
| 103 |
+
- type: map_at_10
|
| 104 |
+
value: 25.447999999999997
|
| 105 |
+
- type: map_at_100
|
| 106 |
+
value: 26.296999999999997
|
| 107 |
+
- type: map_at_1000
|
| 108 |
+
value: 26.369
|
| 109 |
+
- type: map_at_20
|
| 110 |
+
value: 25.951
|
| 111 |
+
- type: map_at_3
|
| 112 |
+
value: 22.826
|
| 113 |
+
- type: map_at_5
|
| 114 |
+
value: 24.309
|
| 115 |
+
- type: mrr_at_1
|
| 116 |
+
value: 17.669
|
| 117 |
+
- type: mrr_at_10
|
| 118 |
+
value: 26.711000000000002
|
| 119 |
+
- type: mrr_at_100
|
| 120 |
+
value: 27.534
|
| 121 |
+
- type: mrr_at_1000
|
| 122 |
+
value: 27.589000000000002
|
| 123 |
+
- type: mrr_at_20
|
| 124 |
+
value: 27.211999999999996
|
| 125 |
+
- type: mrr_at_3
|
| 126 |
+
value: 24.052
|
| 127 |
+
- type: mrr_at_5
|
| 128 |
+
value: 25.532
|
| 129 |
+
- type: ndcg_at_1
|
| 130 |
+
value: 17.669
|
| 131 |
+
- type: ndcg_at_10
|
| 132 |
+
value: 30.53
|
| 133 |
+
- type: ndcg_at_100
|
| 134 |
+
value: 34.823
|
| 135 |
+
- type: ndcg_at_1000
|
| 136 |
+
value: 36.624
|
| 137 |
+
- type: ndcg_at_20
|
| 138 |
+
value: 32.323
|
| 139 |
+
- type: ndcg_at_3
|
| 140 |
+
value: 25.119000000000003
|
| 141 |
+
- type: ndcg_at_5
|
| 142 |
+
value: 27.791
|
| 143 |
+
- type: precision_at_1
|
| 144 |
+
value: 17.669
|
| 145 |
+
- type: precision_at_10
|
| 146 |
+
value: 4.8660000000000005
|
| 147 |
+
- type: precision_at_100
|
| 148 |
+
value: 0.7230000000000001
|
| 149 |
+
- type: precision_at_1000
|
| 150 |
+
value: 0.09
|
| 151 |
+
- type: precision_at_20
|
| 152 |
+
value: 2.826
|
| 153 |
+
- type: precision_at_3
|
| 154 |
+
value: 10.823
|
| 155 |
+
- type: precision_at_5
|
| 156 |
+
value: 7.9
|
| 157 |
+
- type: recall_at_1
|
| 158 |
+
value: 16.744
|
| 159 |
+
- type: recall_at_10
|
| 160 |
+
value: 45.205
|
| 161 |
+
- type: recall_at_100
|
| 162 |
+
value: 65.094
|
| 163 |
+
- type: recall_at_1000
|
| 164 |
+
value: 78.739
|
| 165 |
+
- type: recall_at_20
|
| 166 |
+
value: 52.066
|
| 167 |
+
- type: recall_at_3
|
| 168 |
+
value: 30.574
|
| 169 |
+
- type: recall_at_5
|
| 170 |
+
value: 36.986999999999995
|
| 171 |
+
- task:
|
| 172 |
+
type: retrieval
|
| 173 |
+
dataset:
|
| 174 |
+
type: mteb/miracl-hard-negatives
|
| 175 |
+
name: MTEB MIRACLRetrievalHardNegatives (bn)
|
| 176 |
+
config: bn
|
| 177 |
+
split: dev
|
| 178 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 179 |
+
metrics:
|
| 180 |
+
- type: map_at_1
|
| 181 |
+
value: 15.962000000000002
|
| 182 |
+
- type: map_at_10
|
| 183 |
+
value: 24.746000000000002
|
| 184 |
+
- type: map_at_100
|
| 185 |
+
value: 26.306
|
| 186 |
+
- type: map_at_1000
|
| 187 |
+
value: 26.451
|
| 188 |
+
- type: map_at_20
|
| 189 |
+
value: 25.507
|
| 190 |
+
- type: map_at_3
|
| 191 |
+
value: 20.810000000000002
|
| 192 |
+
- type: map_at_5
|
| 193 |
+
value: 23.095
|
| 194 |
+
- type: mrr_at_1
|
| 195 |
+
value: 26.521
|
| 196 |
+
- type: mrr_at_10
|
| 197 |
+
value: 36.268
|
| 198 |
+
- type: mrr_at_100
|
| 199 |
+
value: 36.986999999999995
|
| 200 |
+
- type: mrr_at_1000
|
| 201 |
+
value: 37.047000000000004
|
| 202 |
+
- type: mrr_at_20
|
| 203 |
+
value: 36.611
|
| 204 |
+
- type: mrr_at_3
|
| 205 |
+
value: 32.644
|
| 206 |
+
- type: mrr_at_5
|
| 207 |
+
value: 35.223
|
| 208 |
+
- type: ndcg_at_1
|
| 209 |
+
value: 26.521
|
| 210 |
+
- type: ndcg_at_10
|
| 211 |
+
value: 32.038
|
| 212 |
+
- type: ndcg_at_100
|
| 213 |
+
value: 38.577
|
| 214 |
+
- type: ndcg_at_1000
|
| 215 |
+
value: 41.449999999999996
|
| 216 |
+
- type: ndcg_at_20
|
| 217 |
+
value: 34.086
|
| 218 |
+
- type: ndcg_at_3
|
| 219 |
+
value: 25.515
|
| 220 |
+
- type: ndcg_at_5
|
| 221 |
+
value: 28.860999999999997
|
| 222 |
+
- type: precision_at_1
|
| 223 |
+
value: 26.521
|
| 224 |
+
- type: precision_at_10
|
| 225 |
+
value: 8.224
|
| 226 |
+
- type: precision_at_100
|
| 227 |
+
value: 1.426
|
| 228 |
+
- type: precision_at_1000
|
| 229 |
+
value: 0.183
|
| 230 |
+
- type: precision_at_20
|
| 231 |
+
value: 4.854
|
| 232 |
+
- type: precision_at_3
|
| 233 |
+
value: 15.328
|
| 234 |
+
- type: precision_at_5
|
| 235 |
+
value: 12.701
|
| 236 |
+
- type: recall_at_1
|
| 237 |
+
value: 15.962000000000002
|
| 238 |
+
- type: recall_at_10
|
| 239 |
+
value: 41.573
|
| 240 |
+
- type: recall_at_100
|
| 241 |
+
value: 67.963
|
| 242 |
+
- type: recall_at_1000
|
| 243 |
+
value: 87.077
|
| 244 |
+
- type: recall_at_20
|
| 245 |
+
value: 48.036
|
| 246 |
+
- type: recall_at_3
|
| 247 |
+
value: 25.457
|
| 248 |
+
- type: recall_at_5
|
| 249 |
+
value: 33.143
|
| 250 |
+
- task:
|
| 251 |
+
type: retrieval
|
| 252 |
+
dataset:
|
| 253 |
+
type: mteb/mrtydi
|
| 254 |
+
name: MTEB MrTydiRetrieval (bengali)
|
| 255 |
+
config: bengali
|
| 256 |
+
split: test
|
| 257 |
+
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 258 |
+
metrics:
|
| 259 |
+
- type: map_at_1
|
| 260 |
+
value: 14.865
|
| 261 |
+
- type: map_at_10
|
| 262 |
+
value: 24.122
|
| 263 |
+
- type: map_at_100
|
| 264 |
+
value: 25.345000000000002
|
| 265 |
+
- type: map_at_1000
|
| 266 |
+
value: 25.413000000000004
|
| 267 |
+
- type: map_at_20
|
| 268 |
+
value: 24.887999999999998
|
| 269 |
+
- type: map_at_3
|
| 270 |
+
value: 19.97
|
| 271 |
+
- type: map_at_5
|
| 272 |
+
value: 22.898
|
| 273 |
+
- type: mrr_at_1
|
| 274 |
+
value: 17.116999999999997
|
| 275 |
+
- type: mrr_at_10
|
| 276 |
+
value: 26.115
|
| 277 |
+
- type: mrr_at_100
|
| 278 |
+
value: 27.194000000000003
|
| 279 |
+
- type: mrr_at_1000
|
| 280 |
+
value: 27.243000000000002
|
| 281 |
+
- type: mrr_at_20
|
| 282 |
+
value: 26.828999999999997
|
| 283 |
+
- type: mrr_at_3
|
| 284 |
+
value: 21.922
|
| 285 |
+
- type: mrr_at_5
|
| 286 |
+
value: 24.985
|
| 287 |
+
- type: ndcg_at_1
|
| 288 |
+
value: 17.116999999999997
|
| 289 |
+
- type: ndcg_at_10
|
| 290 |
+
value: 29.918
|
| 291 |
+
- type: ndcg_at_100
|
| 292 |
+
value: 35.658
|
| 293 |
+
- type: ndcg_at_1000
|
| 294 |
+
value: 37.349
|
| 295 |
+
- type: ndcg_at_20
|
| 296 |
+
value: 32.74
|
| 297 |
+
- type: ndcg_at_3
|
| 298 |
+
value: 21.807000000000002
|
| 299 |
+
- type: ndcg_at_5
|
| 300 |
+
value: 27.128999999999998
|
| 301 |
+
- type: precision_at_1
|
| 302 |
+
value: 17.116999999999997
|
| 303 |
+
- type: precision_at_10
|
| 304 |
+
value: 5.405
|
| 305 |
+
- type: precision_at_100
|
| 306 |
+
value: 0.8380000000000001
|
| 307 |
+
- type: precision_at_1000
|
| 308 |
+
value: 0.099
|
| 309 |
+
- type: precision_at_20
|
| 310 |
+
value: 3.288
|
| 311 |
+
- type: precision_at_3
|
| 312 |
+
value: 9.91
|
| 313 |
+
- type: precision_at_5
|
| 314 |
+
value: 8.828999999999999
|
| 315 |
+
- type: recall_at_1
|
| 316 |
+
value: 14.865
|
| 317 |
+
- type: recall_at_10
|
| 318 |
+
value: 45.946
|
| 319 |
+
- type: recall_at_100
|
| 320 |
+
value: 72.072
|
| 321 |
+
- type: recall_at_1000
|
| 322 |
+
value: 85.135
|
| 323 |
+
- type: recall_at_20
|
| 324 |
+
value: 57.206999999999994
|
| 325 |
+
- type: recall_at_3
|
| 326 |
+
value: 25.224999999999998
|
| 327 |
+
- type: recall_at_5
|
| 328 |
+
value: 37.838
|
| 329 |
+
- task:
|
| 330 |
+
type: retrieval
|
| 331 |
+
dataset:
|
| 332 |
+
type: mteb/miracl-hard-negatives
|
| 333 |
+
name: MTEB MIRACLRetrievalHardNegatives (de)
|
| 334 |
+
config: de
|
| 335 |
+
split: dev
|
| 336 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 337 |
+
metrics:
|
| 338 |
+
- type: map_at_1
|
| 339 |
+
value: 10.285
|
| 340 |
+
- type: map_at_10
|
| 341 |
+
value: 22.831000000000003
|
| 342 |
+
- type: map_at_100
|
| 343 |
+
value: 25.868000000000002
|
| 344 |
+
- type: map_at_1000
|
| 345 |
+
value: 26.029999999999998
|
| 346 |
+
- type: map_at_20
|
| 347 |
+
value: 24.3
|
| 348 |
+
- type: map_at_3
|
| 349 |
+
value: 16.539
|
| 350 |
+
- type: map_at_5
|
| 351 |
+
value: 19.593
|
| 352 |
+
- type: mrr_at_1
|
| 353 |
+
value: 23.607
|
| 354 |
+
- type: mrr_at_10
|
| 355 |
+
value: 36.899
|
| 356 |
+
- type: mrr_at_100
|
| 357 |
+
value: 37.958
|
| 358 |
+
- type: mrr_at_1000
|
| 359 |
+
value: 37.987
|
| 360 |
+
- type: mrr_at_20
|
| 361 |
+
value: 37.454
|
| 362 |
+
- type: mrr_at_3
|
| 363 |
+
value: 32.732
|
| 364 |
+
- type: mrr_at_5
|
| 365 |
+
value: 35.126000000000005
|
| 366 |
+
- type: ndcg_at_1
|
| 367 |
+
value: 23.607
|
| 368 |
+
- type: ndcg_at_10
|
| 369 |
+
value: 32.774
|
| 370 |
+
- type: ndcg_at_100
|
| 371 |
+
value: 43.553999999999995
|
| 372 |
+
- type: ndcg_at_1000
|
| 373 |
+
value: 45.604
|
| 374 |
+
- type: ndcg_at_20
|
| 375 |
+
value: 36.408
|
| 376 |
+
- type: ndcg_at_3
|
| 377 |
+
value: 23.846
|
| 378 |
+
- type: ndcg_at_5
|
| 379 |
+
value: 26.954
|
| 380 |
+
- type: precision_at_1
|
| 381 |
+
value: 23.607
|
| 382 |
+
- type: precision_at_10
|
| 383 |
+
value: 11.639
|
| 384 |
+
- type: precision_at_100
|
| 385 |
+
value: 2.2689999999999997
|
| 386 |
+
- type: precision_at_1000
|
| 387 |
+
value: 0.258
|
| 388 |
+
- type: precision_at_20
|
| 389 |
+
value: 7.327999999999999
|
| 390 |
+
- type: precision_at_3
|
| 391 |
+
value: 18.251
|
| 392 |
+
- type: precision_at_5
|
| 393 |
+
value: 15.344
|
| 394 |
+
- type: recall_at_1
|
| 395 |
+
value: 10.285
|
| 396 |
+
- type: recall_at_10
|
| 397 |
+
value: 46.227000000000004
|
| 398 |
+
- type: recall_at_100
|
| 399 |
+
value: 85.478
|
| 400 |
+
- type: recall_at_1000
|
| 401 |
+
value: 97.52
|
| 402 |
+
- type: recall_at_20
|
| 403 |
+
value: 56.738
|
| 404 |
+
- type: recall_at_3
|
| 405 |
+
value: 22.633
|
| 406 |
+
- type: recall_at_5
|
| 407 |
+
value: 31.898
|
| 408 |
+
- task:
|
| 409 |
+
type: retrieval
|
| 410 |
+
dataset:
|
| 411 |
+
type: mteb/miracl-hard-negatives
|
| 412 |
+
name: MTEB MIRACLRetrievalHardNegatives (en)
|
| 413 |
+
config: en
|
| 414 |
+
split: dev
|
| 415 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 416 |
+
metrics:
|
| 417 |
+
- type: map_at_1
|
| 418 |
+
value: 11.625
|
| 419 |
+
- type: map_at_10
|
| 420 |
+
value: 22.033
|
| 421 |
+
- type: map_at_100
|
| 422 |
+
value: 25.343
|
| 423 |
+
- type: map_at_1000
|
| 424 |
+
value: 25.555
|
| 425 |
+
- type: map_at_20
|
| 426 |
+
value: 23.77
|
| 427 |
+
- type: map_at_3
|
| 428 |
+
value: 17.163
|
| 429 |
+
- type: map_at_5
|
| 430 |
+
value: 19.431
|
| 431 |
+
- type: mrr_at_1
|
| 432 |
+
value: 24.781
|
| 433 |
+
- type: mrr_at_10
|
| 434 |
+
value: 35.998000000000005
|
| 435 |
+
- type: mrr_at_100
|
| 436 |
+
value: 37.345
|
| 437 |
+
- type: mrr_at_1000
|
| 438 |
+
value: 37.376
|
| 439 |
+
- type: mrr_at_20
|
| 440 |
+
value: 36.912
|
| 441 |
+
- type: mrr_at_3
|
| 442 |
+
value: 32.144
|
| 443 |
+
- type: mrr_at_5
|
| 444 |
+
value: 34.184
|
| 445 |
+
- type: ndcg_at_1
|
| 446 |
+
value: 24.781
|
| 447 |
+
- type: ndcg_at_10
|
| 448 |
+
value: 30.608999999999998
|
| 449 |
+
- type: ndcg_at_100
|
| 450 |
+
value: 42.407000000000004
|
| 451 |
+
- type: ndcg_at_1000
|
| 452 |
+
value: 45.1
|
| 453 |
+
- type: ndcg_at_20
|
| 454 |
+
value: 35.188
|
| 455 |
+
- type: ndcg_at_3
|
| 456 |
+
value: 24.271
|
| 457 |
+
- type: ndcg_at_5
|
| 458 |
+
value: 26.090000000000003
|
| 459 |
+
- type: precision_at_1
|
| 460 |
+
value: 24.781
|
| 461 |
+
- type: precision_at_10
|
| 462 |
+
value: 10.388
|
| 463 |
+
- type: precision_at_100
|
| 464 |
+
value: 2.35
|
| 465 |
+
- type: precision_at_1000
|
| 466 |
+
value: 0.28400000000000003
|
| 467 |
+
- type: precision_at_20
|
| 468 |
+
value: 7.140000000000001
|
| 469 |
+
- type: precision_at_3
|
| 470 |
+
value: 17.438000000000002
|
| 471 |
+
- type: precision_at_5
|
| 472 |
+
value: 14.043
|
| 473 |
+
- type: recall_at_1
|
| 474 |
+
value: 11.625
|
| 475 |
+
- type: recall_at_10
|
| 476 |
+
value: 40.717
|
| 477 |
+
- type: recall_at_100
|
| 478 |
+
value: 82.492
|
| 479 |
+
- type: recall_at_1000
|
| 480 |
+
value: 97.495
|
| 481 |
+
- type: recall_at_20
|
| 482 |
+
value: 54.208
|
| 483 |
+
- type: recall_at_3
|
| 484 |
+
value: 21.747
|
| 485 |
+
- type: recall_at_5
|
| 486 |
+
value: 28.74
|
| 487 |
+
- task:
|
| 488 |
+
type: retrieval
|
| 489 |
+
dataset:
|
| 490 |
+
type: mteb/mrtydi
|
| 491 |
+
name: MTEB MrTydiRetrieval (english)
|
| 492 |
+
config: english
|
| 493 |
+
split: test
|
| 494 |
+
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 495 |
+
metrics:
|
| 496 |
+
- type: map_at_1
|
| 497 |
+
value: 6.765000000000001
|
| 498 |
+
- type: map_at_10
|
| 499 |
+
value: 13.469999999999999
|
| 500 |
+
- type: map_at_100
|
| 501 |
+
value: 14.575
|
| 502 |
+
- type: map_at_1000
|
| 503 |
+
value: 14.668000000000001
|
| 504 |
+
- type: map_at_20
|
| 505 |
+
value: 14.055000000000001
|
| 506 |
+
- type: map_at_3
|
| 507 |
+
value: 10.853
|
| 508 |
+
- type: map_at_5
|
| 509 |
+
value: 12.251
|
| 510 |
+
- type: mrr_at_1
|
| 511 |
+
value: 8.602
|
| 512 |
+
- type: mrr_at_10
|
| 513 |
+
value: 15.595999999999998
|
| 514 |
+
- type: mrr_at_100
|
| 515 |
+
value: 16.624
|
| 516 |
+
- type: mrr_at_1000
|
| 517 |
+
value: 16.704
|
| 518 |
+
- type: mrr_at_20
|
| 519 |
+
value: 16.169
|
| 520 |
+
- type: mrr_at_3
|
| 521 |
+
value: 12.881
|
| 522 |
+
- type: mrr_at_5
|
| 523 |
+
value: 14.393
|
| 524 |
+
- type: ndcg_at_1
|
| 525 |
+
value: 8.602
|
| 526 |
+
- type: ndcg_at_10
|
| 527 |
+
value: 18.107
|
| 528 |
+
- type: ndcg_at_100
|
| 529 |
+
value: 23.851
|
| 530 |
+
- type: ndcg_at_1000
|
| 531 |
+
value: 26.379
|
| 532 |
+
- type: ndcg_at_20
|
| 533 |
+
value: 20.182
|
| 534 |
+
- type: ndcg_at_3
|
| 535 |
+
value: 12.681000000000001
|
| 536 |
+
- type: ndcg_at_5
|
| 537 |
+
value: 15.190000000000001
|
| 538 |
+
- type: precision_at_1
|
| 539 |
+
value: 8.602
|
| 540 |
+
- type: precision_at_10
|
| 541 |
+
value: 3.6830000000000003
|
| 542 |
+
- type: precision_at_100
|
| 543 |
+
value: 0.7040000000000001
|
| 544 |
+
- type: precision_at_1000
|
| 545 |
+
value: 0.095
|
| 546 |
+
- type: precision_at_20
|
| 547 |
+
value: 2.332
|
| 548 |
+
- type: precision_at_3
|
| 549 |
+
value: 6.407
|
| 550 |
+
- type: precision_at_5
|
| 551 |
+
value: 5.188000000000001
|
| 552 |
+
- type: recall_at_1
|
| 553 |
+
value: 6.765000000000001
|
| 554 |
+
- type: recall_at_10
|
| 555 |
+
value: 30.511
|
| 556 |
+
- type: recall_at_100
|
| 557 |
+
value: 57.303000000000004
|
| 558 |
+
- type: recall_at_1000
|
| 559 |
+
value: 76.568
|
| 560 |
+
- type: recall_at_20
|
| 561 |
+
value: 38.284
|
| 562 |
+
- type: recall_at_3
|
| 563 |
+
value: 16.084
|
| 564 |
+
- type: recall_at_5
|
| 565 |
+
value: 21.886
|
| 566 |
+
- task:
|
| 567 |
+
type: retrieval
|
| 568 |
+
dataset:
|
| 569 |
+
type: mteb/miracl-hard-negatives
|
| 570 |
+
name: MTEB MIRACLRetrievalHardNegatives (fa)
|
| 571 |
+
config: fa
|
| 572 |
+
split: dev
|
| 573 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 574 |
+
metrics:
|
| 575 |
+
- type: map_at_1
|
| 576 |
+
value: 15.268
|
| 577 |
+
- type: map_at_10
|
| 578 |
+
value: 27.929
|
| 579 |
+
- type: map_at_100
|
| 580 |
+
value: 30.323
|
| 581 |
+
- type: map_at_1000
|
| 582 |
+
value: 30.433
|
| 583 |
+
- type: map_at_20
|
| 584 |
+
value: 29.247
|
| 585 |
+
- type: map_at_3
|
| 586 |
+
value: 22.684
|
| 587 |
+
- type: map_at_5
|
| 588 |
+
value: 25.453
|
| 589 |
+
- type: mrr_at_1
|
| 590 |
+
value: 24.684
|
| 591 |
+
- type: mrr_at_10
|
| 592 |
+
value: 36.925999999999995
|
| 593 |
+
- type: mrr_at_100
|
| 594 |
+
value: 38.031
|
| 595 |
+
- type: mrr_at_1000
|
| 596 |
+
value: 38.063
|
| 597 |
+
- type: mrr_at_20
|
| 598 |
+
value: 37.62
|
| 599 |
+
- type: mrr_at_3
|
| 600 |
+
value: 33.07
|
| 601 |
+
- type: mrr_at_5
|
| 602 |
+
value: 35.467
|
| 603 |
+
- type: ndcg_at_1
|
| 604 |
+
value: 24.684
|
| 605 |
+
- type: ndcg_at_10
|
| 606 |
+
value: 36.153999999999996
|
| 607 |
+
- type: ndcg_at_100
|
| 608 |
+
value: 44.828
|
| 609 |
+
- type: ndcg_at_1000
|
| 610 |
+
value: 46.482
|
| 611 |
+
- type: ndcg_at_20
|
| 612 |
+
value: 39.678999999999995
|
| 613 |
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- type: ndcg_at_3
|
| 614 |
+
value: 28.223
|
| 615 |
+
- type: ndcg_at_5
|
| 616 |
+
value: 31.684
|
| 617 |
+
- type: precision_at_1
|
| 618 |
+
value: 24.684
|
| 619 |
+
- type: precision_at_10
|
| 620 |
+
value: 9.778
|
| 621 |
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- type: precision_at_100
|
| 622 |
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value: 1.7610000000000001
|
| 623 |
+
- type: precision_at_1000
|
| 624 |
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value: 0.199
|
| 625 |
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- type: precision_at_20
|
| 626 |
+
value: 6.178999999999999
|
| 627 |
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- type: precision_at_3
|
| 628 |
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value: 17.563000000000002
|
| 629 |
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- type: precision_at_5
|
| 630 |
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value: 14.272000000000002
|
| 631 |
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- type: recall_at_1
|
| 632 |
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value: 15.268
|
| 633 |
+
- type: recall_at_10
|
| 634 |
+
value: 50.39
|
| 635 |
+
- type: recall_at_100
|
| 636 |
+
value: 83.39800000000001
|
| 637 |
+
- type: recall_at_1000
|
| 638 |
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value: 93.589
|
| 639 |
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- type: recall_at_20
|
| 640 |
+
value: 61.543000000000006
|
| 641 |
+
- type: recall_at_3
|
| 642 |
+
value: 29.754
|
| 643 |
+
- type: recall_at_5
|
| 644 |
+
value: 38.504
|
| 645 |
+
- task:
|
| 646 |
+
type: retrieval
|
| 647 |
+
dataset:
|
| 648 |
+
type: mteb/miracl-hard-negatives
|
| 649 |
+
name: MTEB MIRACLRetrievalHardNegatives (fi)
|
| 650 |
+
config: fi
|
| 651 |
+
split: dev
|
| 652 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 653 |
+
metrics:
|
| 654 |
+
- type: map_at_1
|
| 655 |
+
value: 20.075000000000003
|
| 656 |
+
- type: map_at_10
|
| 657 |
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value: 33.783
|
| 658 |
+
- type: map_at_100
|
| 659 |
+
value: 35.548
|
| 660 |
+
- type: map_at_1000
|
| 661 |
+
value: 35.650999999999996
|
| 662 |
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- type: map_at_20
|
| 663 |
+
value: 34.824
|
| 664 |
+
- type: map_at_3
|
| 665 |
+
value: 29.069
|
| 666 |
+
- type: map_at_5
|
| 667 |
+
value: 31.887999999999998
|
| 668 |
+
- type: mrr_at_1
|
| 669 |
+
value: 32.9
|
| 670 |
+
- type: mrr_at_10
|
| 671 |
+
value: 44.633
|
| 672 |
+
- type: mrr_at_100
|
| 673 |
+
value: 45.491
|
| 674 |
+
- type: mrr_at_1000
|
| 675 |
+
value: 45.518
|
| 676 |
+
- type: mrr_at_20
|
| 677 |
+
value: 45.184999999999995
|
| 678 |
+
- type: mrr_at_3
|
| 679 |
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value: 41.533
|
| 680 |
+
- type: mrr_at_5
|
| 681 |
+
value: 43.338
|
| 682 |
+
- type: ndcg_at_1
|
| 683 |
+
value: 32.9
|
| 684 |
+
- type: ndcg_at_10
|
| 685 |
+
value: 42.068
|
| 686 |
+
- type: ndcg_at_100
|
| 687 |
+
value: 48.836
|
| 688 |
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- type: ndcg_at_1000
|
| 689 |
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value: 50.849999999999994
|
| 690 |
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- type: ndcg_at_20
|
| 691 |
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value: 45.013999999999996
|
| 692 |
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- type: ndcg_at_3
|
| 693 |
+
value: 34.382000000000005
|
| 694 |
+
- type: ndcg_at_5
|
| 695 |
+
value: 38.169
|
| 696 |
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- type: precision_at_1
|
| 697 |
+
value: 32.9
|
| 698 |
+
- type: precision_at_10
|
| 699 |
+
value: 10.02
|
| 700 |
+
- type: precision_at_100
|
| 701 |
+
value: 1.545
|
| 702 |
+
- type: precision_at_1000
|
| 703 |
+
value: 0.182
|
| 704 |
+
- type: precision_at_20
|
| 705 |
+
value: 5.955
|
| 706 |
+
- type: precision_at_3
|
| 707 |
+
value: 20.9
|
| 708 |
+
- type: precision_at_5
|
| 709 |
+
value: 15.98
|
| 710 |
+
- type: recall_at_1
|
| 711 |
+
value: 20.075000000000003
|
| 712 |
+
- type: recall_at_10
|
| 713 |
+
value: 55.042
|
| 714 |
+
- type: recall_at_100
|
| 715 |
+
value: 81.609
|
| 716 |
+
- type: recall_at_1000
|
| 717 |
+
value: 95.048
|
| 718 |
+
- type: recall_at_20
|
| 719 |
+
value: 64.791
|
| 720 |
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- type: recall_at_3
|
| 721 |
+
value: 36.617
|
| 722 |
+
- type: recall_at_5
|
| 723 |
+
value: 44.905
|
| 724 |
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- task:
|
| 725 |
+
type: retrieval
|
| 726 |
+
dataset:
|
| 727 |
+
type: mteb/mrtydi
|
| 728 |
+
name: MTEB MrTydiRetrieval (finnish)
|
| 729 |
+
config: finnish
|
| 730 |
+
split: test
|
| 731 |
+
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 732 |
+
metrics:
|
| 733 |
+
- type: map_at_1
|
| 734 |
+
value: 13.489999999999998
|
| 735 |
+
- type: map_at_10
|
| 736 |
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value: 20.253
|
| 737 |
+
- type: map_at_100
|
| 738 |
+
value: 21.201
|
| 739 |
+
- type: map_at_1000
|
| 740 |
+
value: 21.285999999999998
|
| 741 |
+
- type: map_at_20
|
| 742 |
+
value: 20.796
|
| 743 |
+
- type: map_at_3
|
| 744 |
+
value: 17.869
|
| 745 |
+
- type: map_at_5
|
| 746 |
+
value: 19.217000000000002
|
| 747 |
+
- type: mrr_at_1
|
| 748 |
+
value: 14.514
|
| 749 |
+
- type: mrr_at_10
|
| 750 |
+
value: 21.369
|
| 751 |
+
- type: mrr_at_100
|
| 752 |
+
value: 22.273
|
| 753 |
+
- type: mrr_at_1000
|
| 754 |
+
value: 22.346
|
| 755 |
+
- type: mrr_at_20
|
| 756 |
+
value: 21.892
|
| 757 |
+
- type: mrr_at_3
|
| 758 |
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value: 18.913
|
| 759 |
+
- type: mrr_at_5
|
| 760 |
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value: 20.336000000000002
|
| 761 |
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- type: ndcg_at_1
|
| 762 |
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value: 14.514
|
| 763 |
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- type: ndcg_at_10
|
| 764 |
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value: 24.426000000000002
|
| 765 |
+
- type: ndcg_at_100
|
| 766 |
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value: 29.253
|
| 767 |
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- type: ndcg_at_1000
|
| 768 |
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value: 31.752000000000002
|
| 769 |
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- type: ndcg_at_20
|
| 770 |
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value: 26.36
|
| 771 |
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- type: ndcg_at_3
|
| 772 |
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value: 19.523
|
| 773 |
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- type: ndcg_at_5
|
| 774 |
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value: 21.986
|
| 775 |
+
- type: precision_at_1
|
| 776 |
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value: 14.514
|
| 777 |
+
- type: precision_at_10
|
| 778 |
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value: 4.011
|
| 779 |
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- type: precision_at_100
|
| 780 |
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value: 0.6629999999999999
|
| 781 |
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- type: precision_at_1000
|
| 782 |
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value: 0.09
|
| 783 |
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- type: precision_at_20
|
| 784 |
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value: 2.444
|
| 785 |
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- type: precision_at_3
|
| 786 |
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value: 8.373
|
| 787 |
+
- type: precision_at_5
|
| 788 |
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value: 6.332
|
| 789 |
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- type: recall_at_1
|
| 790 |
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value: 13.489999999999998
|
| 791 |
+
- type: recall_at_10
|
| 792 |
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value: 36.43
|
| 793 |
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- type: recall_at_100
|
| 794 |
+
value: 59.024
|
| 795 |
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- type: recall_at_1000
|
| 796 |
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value: 78.668
|
| 797 |
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- type: recall_at_20
|
| 798 |
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value: 43.793
|
| 799 |
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- type: recall_at_3
|
| 800 |
+
value: 23.339
|
| 801 |
+
- type: recall_at_5
|
| 802 |
+
value: 29.213
|
| 803 |
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- task:
|
| 804 |
+
type: retrieval
|
| 805 |
+
dataset:
|
| 806 |
+
type: mteb/miracl-hard-negatives
|
| 807 |
+
name: MTEB MIRACLRetrievalHardNegatives (fr)
|
| 808 |
+
config: fr
|
| 809 |
+
split: dev
|
| 810 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 811 |
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metrics:
|
| 812 |
+
- type: map_at_1
|
| 813 |
+
value: 7.768
|
| 814 |
+
- type: map_at_10
|
| 815 |
+
value: 17.591
|
| 816 |
+
- type: map_at_100
|
| 817 |
+
value: 20.544999999999998
|
| 818 |
+
- type: map_at_1000
|
| 819 |
+
value: 20.673
|
| 820 |
+
- type: map_at_20
|
| 821 |
+
value: 19.131
|
| 822 |
+
- type: map_at_3
|
| 823 |
+
value: 12.567999999999998
|
| 824 |
+
- type: map_at_5
|
| 825 |
+
value: 14.846
|
| 826 |
+
- type: mrr_at_1
|
| 827 |
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value: 13.994000000000002
|
| 828 |
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- type: mrr_at_10
|
| 829 |
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value: 25.740000000000002
|
| 830 |
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- type: mrr_at_100
|
| 831 |
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value: 27.156999999999996
|
| 832 |
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- type: mrr_at_1000
|
| 833 |
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value: 27.189999999999998
|
| 834 |
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- type: mrr_at_20
|
| 835 |
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value: 26.61
|
| 836 |
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- type: mrr_at_3
|
| 837 |
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value: 20.554
|
| 838 |
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- type: mrr_at_5
|
| 839 |
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value: 23.163
|
| 840 |
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- type: ndcg_at_1
|
| 841 |
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value: 13.994000000000002
|
| 842 |
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- type: ndcg_at_10
|
| 843 |
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value: 25.929000000000002
|
| 844 |
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- type: ndcg_at_100
|
| 845 |
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value: 37.244
|
| 846 |
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- type: ndcg_at_1000
|
| 847 |
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value: 39.211
|
| 848 |
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- type: ndcg_at_20
|
| 849 |
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value: 30.314000000000004
|
| 850 |
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- type: ndcg_at_3
|
| 851 |
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value: 16.329
|
| 852 |
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- type: ndcg_at_5
|
| 853 |
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value: 19.826
|
| 854 |
+
- type: precision_at_1
|
| 855 |
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value: 13.994000000000002
|
| 856 |
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- type: precision_at_10
|
| 857 |
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value: 8.192
|
| 858 |
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- type: precision_at_100
|
| 859 |
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value: 1.799
|
| 860 |
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- type: precision_at_1000
|
| 861 |
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value: 0.207
|
| 862 |
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- type: precision_at_20
|
| 863 |
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value: 5.583
|
| 864 |
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- type: precision_at_3
|
| 865 |
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value: 11.079
|
| 866 |
+
- type: precision_at_5
|
| 867 |
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value: 10.204
|
| 868 |
+
- type: recall_at_1
|
| 869 |
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value: 7.768
|
| 870 |
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- type: recall_at_10
|
| 871 |
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value: 41.516999999999996
|
| 872 |
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- type: recall_at_100
|
| 873 |
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value: 85.148
|
| 874 |
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- type: recall_at_1000
|
| 875 |
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value: 97.342
|
| 876 |
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- type: recall_at_20
|
| 877 |
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value: 55.696
|
| 878 |
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- type: recall_at_3
|
| 879 |
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value: 17.559
|
| 880 |
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- type: recall_at_5
|
| 881 |
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value: 25.128
|
| 882 |
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- task:
|
| 883 |
+
type: retrieval
|
| 884 |
+
dataset:
|
| 885 |
+
type: mteb/miracl-hard-negatives
|
| 886 |
+
name: MTEB MIRACLRetrievalHardNegatives (hi)
|
| 887 |
+
config: hi
|
| 888 |
+
split: dev
|
| 889 |
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revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 890 |
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metrics:
|
| 891 |
+
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|
| 892 |
+
value: 12.864
|
| 893 |
+
- type: map_at_10
|
| 894 |
+
value: 23.992
|
| 895 |
+
- type: map_at_100
|
| 896 |
+
value: 26.007
|
| 897 |
+
- type: map_at_1000
|
| 898 |
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value: 26.157999999999998
|
| 899 |
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- type: map_at_20
|
| 900 |
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value: 25.130000000000003
|
| 901 |
+
- type: map_at_3
|
| 902 |
+
value: 19.867
|
| 903 |
+
- type: map_at_5
|
| 904 |
+
value: 21.657
|
| 905 |
+
- type: mrr_at_1
|
| 906 |
+
value: 25.714
|
| 907 |
+
- type: mrr_at_10
|
| 908 |
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value: 36.374
|
| 909 |
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- type: mrr_at_100
|
| 910 |
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value: 37.399
|
| 911 |
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- type: mrr_at_1000
|
| 912 |
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value: 37.458000000000006
|
| 913 |
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- type: mrr_at_20
|
| 914 |
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value: 37.055
|
| 915 |
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- type: mrr_at_3
|
| 916 |
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value: 33.762
|
| 917 |
+
- type: mrr_at_5
|
| 918 |
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value: 35.176
|
| 919 |
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- type: ndcg_at_1
|
| 920 |
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value: 25.714
|
| 921 |
+
- type: ndcg_at_10
|
| 922 |
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value: 31.902
|
| 923 |
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- type: ndcg_at_100
|
| 924 |
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value: 39.534000000000006
|
| 925 |
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- type: ndcg_at_1000
|
| 926 |
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value: 42.424
|
| 927 |
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- type: ndcg_at_20
|
| 928 |
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value: 35.189
|
| 929 |
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- type: ndcg_at_3
|
| 930 |
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value: 26.52
|
| 931 |
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- type: ndcg_at_5
|
| 932 |
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value: 27.833999999999996
|
| 933 |
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- type: precision_at_1
|
| 934 |
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value: 25.714
|
| 935 |
+
- type: precision_at_10
|
| 936 |
+
value: 9.171
|
| 937 |
+
- type: precision_at_100
|
| 938 |
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value: 1.569
|
| 939 |
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- type: precision_at_1000
|
| 940 |
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value: 0.197
|
| 941 |
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- type: precision_at_20
|
| 942 |
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value: 5.671
|
| 943 |
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- type: precision_at_3
|
| 944 |
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value: 18.095
|
| 945 |
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- type: precision_at_5
|
| 946 |
+
value: 13.370999999999999
|
| 947 |
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- type: recall_at_1
|
| 948 |
+
value: 12.864
|
| 949 |
+
- type: recall_at_10
|
| 950 |
+
value: 42.522999999999996
|
| 951 |
+
- type: recall_at_100
|
| 952 |
+
value: 72.653
|
| 953 |
+
- type: recall_at_1000
|
| 954 |
+
value: 91.49199999999999
|
| 955 |
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- type: recall_at_20
|
| 956 |
+
value: 53.452999999999996
|
| 957 |
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- type: recall_at_3
|
| 958 |
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value: 26.007
|
| 959 |
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- type: recall_at_5
|
| 960 |
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value: 31.608999999999998
|
| 961 |
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- task:
|
| 962 |
+
type: retrieval
|
| 963 |
+
dataset:
|
| 964 |
+
type: mteb/miracl-hard-negatives
|
| 965 |
+
name: MTEB MIRACLRetrievalHardNegatives (id)
|
| 966 |
+
config: id
|
| 967 |
+
split: dev
|
| 968 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 969 |
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metrics:
|
| 970 |
+
- type: map_at_1
|
| 971 |
+
value: 10.563
|
| 972 |
+
- type: map_at_10
|
| 973 |
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value: 20.183
|
| 974 |
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- type: map_at_100
|
| 975 |
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value: 22.461000000000002
|
| 976 |
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- type: map_at_1000
|
| 977 |
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value: 22.719
|
| 978 |
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|
| 979 |
+
value: 21.342
|
| 980 |
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- type: map_at_3
|
| 981 |
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value: 16.25
|
| 982 |
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- type: map_at_5
|
| 983 |
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value: 18.415
|
| 984 |
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- type: mrr_at_1
|
| 985 |
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value: 23.541999999999998
|
| 986 |
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- type: mrr_at_10
|
| 987 |
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value: 35.272999999999996
|
| 988 |
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- type: mrr_at_100
|
| 989 |
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value: 36.291000000000004
|
| 990 |
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- type: mrr_at_1000
|
| 991 |
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value: 36.336
|
| 992 |
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- type: mrr_at_20
|
| 993 |
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value: 35.894999999999996
|
| 994 |
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- type: mrr_at_3
|
| 995 |
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value: 31.874999999999996
|
| 996 |
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- type: mrr_at_5
|
| 997 |
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value: 33.833
|
| 998 |
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- type: ndcg_at_1
|
| 999 |
+
value: 23.541999999999998
|
| 1000 |
+
- type: ndcg_at_10
|
| 1001 |
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value: 28.144000000000002
|
| 1002 |
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- type: ndcg_at_100
|
| 1003 |
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value: 36.806
|
| 1004 |
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- type: ndcg_at_1000
|
| 1005 |
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value: 40.888000000000005
|
| 1006 |
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- type: ndcg_at_20
|
| 1007 |
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value: 31.263
|
| 1008 |
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- type: ndcg_at_3
|
| 1009 |
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value: 23.796999999999997
|
| 1010 |
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- type: ndcg_at_5
|
| 1011 |
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value: 25.304
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| 1012 |
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- type: precision_at_1
|
| 1013 |
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value: 23.541999999999998
|
| 1014 |
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- type: precision_at_10
|
| 1015 |
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value: 9.771
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| 1016 |
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- type: precision_at_100
|
| 1017 |
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value: 1.994
|
| 1018 |
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- type: precision_at_1000
|
| 1019 |
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value: 0.281
|
| 1020 |
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- type: precision_at_20
|
| 1021 |
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value: 6.343999999999999
|
| 1022 |
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- type: precision_at_3
|
| 1023 |
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value: 17.639
|
| 1024 |
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- type: precision_at_5
|
| 1025 |
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value: 14.271
|
| 1026 |
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- type: recall_at_1
|
| 1027 |
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value: 10.563
|
| 1028 |
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- type: recall_at_10
|
| 1029 |
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value: 35.47
|
| 1030 |
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- type: recall_at_100
|
| 1031 |
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value: 65.713
|
| 1032 |
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- type: recall_at_1000
|
| 1033 |
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value: 88.68599999999999
|
| 1034 |
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- type: recall_at_20
|
| 1035 |
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value: 44.285999999999994
|
| 1036 |
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- type: recall_at_3
|
| 1037 |
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value: 21.366
|
| 1038 |
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- type: recall_at_5
|
| 1039 |
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value: 27.598
|
| 1040 |
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- task:
|
| 1041 |
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type: retrieval
|
| 1042 |
+
dataset:
|
| 1043 |
+
type: mteb/mrtydi
|
| 1044 |
+
name: MTEB MrTydiRetrieval (indonesian)
|
| 1045 |
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config: indonesian
|
| 1046 |
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split: test
|
| 1047 |
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revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 1048 |
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metrics:
|
| 1049 |
+
- type: map_at_1
|
| 1050 |
+
value: 17.149
|
| 1051 |
+
- type: map_at_10
|
| 1052 |
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value: 27.351
|
| 1053 |
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- type: map_at_100
|
| 1054 |
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value: 28.42
|
| 1055 |
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- type: map_at_1000
|
| 1056 |
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value: 28.491
|
| 1057 |
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- type: map_at_20
|
| 1058 |
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value: 28.026
|
| 1059 |
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- type: map_at_3
|
| 1060 |
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value: 23.918
|
| 1061 |
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- type: map_at_5
|
| 1062 |
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value: 26.125999999999998
|
| 1063 |
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- type: mrr_at_1
|
| 1064 |
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value: 18.938
|
| 1065 |
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- type: mrr_at_10
|
| 1066 |
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value: 28.853
|
| 1067 |
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- type: mrr_at_100
|
| 1068 |
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value: 29.805999999999997
|
| 1069 |
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- type: mrr_at_1000
|
| 1070 |
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value: 29.863
|
| 1071 |
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- type: mrr_at_20
|
| 1072 |
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value: 29.457
|
| 1073 |
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- type: mrr_at_3
|
| 1074 |
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value: 25.714
|
| 1075 |
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- type: mrr_at_5
|
| 1076 |
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value: 27.674
|
| 1077 |
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- type: ndcg_at_1
|
| 1078 |
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value: 18.938
|
| 1079 |
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- type: ndcg_at_10
|
| 1080 |
+
value: 33.195
|
| 1081 |
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- type: ndcg_at_100
|
| 1082 |
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value: 38.17
|
| 1083 |
+
- type: ndcg_at_1000
|
| 1084 |
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value: 40.109
|
| 1085 |
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- type: ndcg_at_20
|
| 1086 |
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value: 35.514
|
| 1087 |
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- type: ndcg_at_3
|
| 1088 |
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value: 26.509
|
| 1089 |
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- type: ndcg_at_5
|
| 1090 |
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value: 30.325000000000003
|
| 1091 |
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- type: precision_at_1
|
| 1092 |
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value: 18.938
|
| 1093 |
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- type: precision_at_10
|
| 1094 |
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value: 5.694
|
| 1095 |
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- type: precision_at_100
|
| 1096 |
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value: 0.8370000000000001
|
| 1097 |
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- type: precision_at_1000
|
| 1098 |
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value: 0.10200000000000001
|
| 1099 |
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- type: precision_at_20
|
| 1100 |
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value: 3.366
|
| 1101 |
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- type: precision_at_3
|
| 1102 |
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value: 12.142999999999999
|
| 1103 |
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- type: precision_at_5
|
| 1104 |
+
value: 9.385
|
| 1105 |
+
- type: recall_at_1
|
| 1106 |
+
value: 17.149
|
| 1107 |
+
- type: recall_at_10
|
| 1108 |
+
value: 49.799
|
| 1109 |
+
- type: recall_at_100
|
| 1110 |
+
value: 72.256
|
| 1111 |
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- type: recall_at_1000
|
| 1112 |
+
value: 87.354
|
| 1113 |
+
- type: recall_at_20
|
| 1114 |
+
value: 58.585
|
| 1115 |
+
- type: recall_at_3
|
| 1116 |
+
value: 32.268
|
| 1117 |
+
- type: recall_at_5
|
| 1118 |
+
value: 41.275
|
| 1119 |
+
- task:
|
| 1120 |
+
type: retrieval
|
| 1121 |
+
dataset:
|
| 1122 |
+
type: mteb/miracl-hard-negatives
|
| 1123 |
+
name: MTEB MIRACLRetrievalHardNegatives (ja)
|
| 1124 |
+
config: ja
|
| 1125 |
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split: dev
|
| 1126 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 1127 |
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metrics:
|
| 1128 |
+
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|
| 1129 |
+
value: 10.001999999999999
|
| 1130 |
+
- type: map_at_10
|
| 1131 |
+
value: 19.887
|
| 1132 |
+
- type: map_at_100
|
| 1133 |
+
value: 22.192
|
| 1134 |
+
- type: map_at_1000
|
| 1135 |
+
value: 22.364
|
| 1136 |
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- type: map_at_20
|
| 1137 |
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value: 21.127000000000002
|
| 1138 |
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- type: map_at_3
|
| 1139 |
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value: 16.297
|
| 1140 |
+
- type: map_at_5
|
| 1141 |
+
value: 18.046
|
| 1142 |
+
- type: mrr_at_1
|
| 1143 |
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value: 17.442
|
| 1144 |
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- type: mrr_at_10
|
| 1145 |
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value: 29.804000000000002
|
| 1146 |
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- type: mrr_at_100
|
| 1147 |
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value: 31.025999999999996
|
| 1148 |
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- type: mrr_at_1000
|
| 1149 |
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value: 31.075999999999997
|
| 1150 |
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- type: mrr_at_20
|
| 1151 |
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value: 30.570000000000004
|
| 1152 |
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- type: mrr_at_3
|
| 1153 |
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value: 26.491999999999997
|
| 1154 |
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- type: mrr_at_5
|
| 1155 |
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value: 28.341
|
| 1156 |
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- type: ndcg_at_1
|
| 1157 |
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value: 17.442
|
| 1158 |
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- type: ndcg_at_10
|
| 1159 |
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value: 27.561999999999998
|
| 1160 |
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- type: ndcg_at_100
|
| 1161 |
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value: 36.714999999999996
|
| 1162 |
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- type: ndcg_at_1000
|
| 1163 |
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value: 39.564
|
| 1164 |
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- type: ndcg_at_20
|
| 1165 |
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value: 31.133
|
| 1166 |
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- type: ndcg_at_3
|
| 1167 |
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value: 21.464
|
| 1168 |
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- type: ndcg_at_5
|
| 1169 |
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value: 23.775
|
| 1170 |
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- type: precision_at_1
|
| 1171 |
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value: 17.442
|
| 1172 |
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- type: precision_at_10
|
| 1173 |
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value: 7.663
|
| 1174 |
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- type: precision_at_100
|
| 1175 |
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value: 1.566
|
| 1176 |
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- type: precision_at_1000
|
| 1177 |
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value: 0.197
|
| 1178 |
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- type: precision_at_20
|
| 1179 |
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value: 5.07
|
| 1180 |
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- type: precision_at_3
|
| 1181 |
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value: 14.302000000000001
|
| 1182 |
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- type: precision_at_5
|
| 1183 |
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value: 11.07
|
| 1184 |
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- type: recall_at_1
|
| 1185 |
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value: 10.001999999999999
|
| 1186 |
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- type: recall_at_10
|
| 1187 |
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value: 39.982
|
| 1188 |
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- type: recall_at_100
|
| 1189 |
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value: 76.165
|
| 1190 |
+
- type: recall_at_1000
|
| 1191 |
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value: 94.487
|
| 1192 |
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- type: recall_at_20
|
| 1193 |
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value: 51.559999999999995
|
| 1194 |
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- type: recall_at_3
|
| 1195 |
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value: 23.274
|
| 1196 |
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- type: recall_at_5
|
| 1197 |
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value: 29.842000000000002
|
| 1198 |
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- task:
|
| 1199 |
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type: retrieval
|
| 1200 |
+
dataset:
|
| 1201 |
+
type: mteb/mrtydi
|
| 1202 |
+
name: MTEB MrTydiRetrieval (japanese)
|
| 1203 |
+
config: japanese
|
| 1204 |
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split: test
|
| 1205 |
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revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 1206 |
+
metrics:
|
| 1207 |
+
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|
| 1208 |
+
value: 6.412
|
| 1209 |
+
- type: map_at_10
|
| 1210 |
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value: 12.008000000000001
|
| 1211 |
+
- type: map_at_100
|
| 1212 |
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value: 13.138
|
| 1213 |
+
- type: map_at_1000
|
| 1214 |
+
value: 13.227
|
| 1215 |
+
- type: map_at_20
|
| 1216 |
+
value: 12.669
|
| 1217 |
+
- type: map_at_3
|
| 1218 |
+
value: 9.738
|
| 1219 |
+
- type: map_at_5
|
| 1220 |
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value: 10.852
|
| 1221 |
+
- type: mrr_at_1
|
| 1222 |
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value: 8.056000000000001
|
| 1223 |
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- type: mrr_at_10
|
| 1224 |
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value: 14.155999999999999
|
| 1225 |
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- type: mrr_at_100
|
| 1226 |
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value: 15.232000000000001
|
| 1227 |
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- type: mrr_at_1000
|
| 1228 |
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value: 15.308
|
| 1229 |
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- type: mrr_at_20
|
| 1230 |
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value: 14.780999999999999
|
| 1231 |
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- type: mrr_at_3
|
| 1232 |
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value: 11.806
|
| 1233 |
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- type: mrr_at_5
|
| 1234 |
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value: 12.992999999999999
|
| 1235 |
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- type: ndcg_at_1
|
| 1236 |
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value: 8.056000000000001
|
| 1237 |
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- type: ndcg_at_10
|
| 1238 |
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value: 16.048000000000002
|
| 1239 |
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- type: ndcg_at_100
|
| 1240 |
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value: 21.833
|
| 1241 |
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- type: ndcg_at_1000
|
| 1242 |
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value: 24.282
|
| 1243 |
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- type: ndcg_at_20
|
| 1244 |
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value: 18.398
|
| 1245 |
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- type: ndcg_at_3
|
| 1246 |
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value: 11.317
|
| 1247 |
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- type: ndcg_at_5
|
| 1248 |
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value: 13.319
|
| 1249 |
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- type: precision_at_1
|
| 1250 |
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value: 8.056000000000001
|
| 1251 |
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- type: precision_at_10
|
| 1252 |
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value: 3.292
|
| 1253 |
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- type: precision_at_100
|
| 1254 |
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value: 0.664
|
| 1255 |
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- type: precision_at_1000
|
| 1256 |
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value: 0.091
|
| 1257 |
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- type: precision_at_20
|
| 1258 |
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value: 2.181
|
| 1259 |
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- type: precision_at_3
|
| 1260 |
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value: 5.833
|
| 1261 |
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- type: precision_at_5
|
| 1262 |
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value: 4.583
|
| 1263 |
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- type: recall_at_1
|
| 1264 |
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value: 6.412
|
| 1265 |
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- type: recall_at_10
|
| 1266 |
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value: 26.480999999999998
|
| 1267 |
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- type: recall_at_100
|
| 1268 |
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value: 53.217999999999996
|
| 1269 |
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- type: recall_at_1000
|
| 1270 |
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value: 71.528
|
| 1271 |
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- type: recall_at_20
|
| 1272 |
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value: 35.44
|
| 1273 |
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- type: recall_at_3
|
| 1274 |
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value: 13.866
|
| 1275 |
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- type: recall_at_5
|
| 1276 |
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value: 18.519
|
| 1277 |
+
- task:
|
| 1278 |
+
type: retrieval
|
| 1279 |
+
dataset:
|
| 1280 |
+
type: mteb/miracl-hard-negatives
|
| 1281 |
+
name: MTEB MIRACLRetrievalHardNegatives (ko)
|
| 1282 |
+
config: ko
|
| 1283 |
+
split: dev
|
| 1284 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 1285 |
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metrics:
|
| 1286 |
+
- type: map_at_1
|
| 1287 |
+
value: 19.03
|
| 1288 |
+
- type: map_at_10
|
| 1289 |
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value: 30.987
|
| 1290 |
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- type: map_at_100
|
| 1291 |
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value: 33.248
|
| 1292 |
+
- type: map_at_1000
|
| 1293 |
+
value: 33.452
|
| 1294 |
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- type: map_at_20
|
| 1295 |
+
value: 32.298
|
| 1296 |
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- type: map_at_3
|
| 1297 |
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value: 26.240999999999996
|
| 1298 |
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- type: map_at_5
|
| 1299 |
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value: 28.899
|
| 1300 |
+
- type: mrr_at_1
|
| 1301 |
+
value: 28.638
|
| 1302 |
+
- type: mrr_at_10
|
| 1303 |
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value: 42.082
|
| 1304 |
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- type: mrr_at_100
|
| 1305 |
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value: 43.034
|
| 1306 |
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- type: mrr_at_1000
|
| 1307 |
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value: 43.059
|
| 1308 |
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- type: mrr_at_20
|
| 1309 |
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value: 42.736000000000004
|
| 1310 |
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- type: mrr_at_3
|
| 1311 |
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value: 38.340999999999994
|
| 1312 |
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- type: mrr_at_5
|
| 1313 |
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value: 40.548
|
| 1314 |
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- type: ndcg_at_1
|
| 1315 |
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value: 28.638
|
| 1316 |
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- type: ndcg_at_10
|
| 1317 |
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value: 39.284
|
| 1318 |
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- type: ndcg_at_100
|
| 1319 |
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value: 47.157
|
| 1320 |
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- type: ndcg_at_1000
|
| 1321 |
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value: 49.864000000000004
|
| 1322 |
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- type: ndcg_at_20
|
| 1323 |
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value: 42.719
|
| 1324 |
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- type: ndcg_at_3
|
| 1325 |
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value: 32.521
|
| 1326 |
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- type: ndcg_at_5
|
| 1327 |
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value: 35.57
|
| 1328 |
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- type: precision_at_1
|
| 1329 |
+
value: 28.638
|
| 1330 |
+
- type: precision_at_10
|
| 1331 |
+
value: 10.657
|
| 1332 |
+
- type: precision_at_100
|
| 1333 |
+
value: 1.8870000000000002
|
| 1334 |
+
- type: precision_at_1000
|
| 1335 |
+
value: 0.241
|
| 1336 |
+
- type: precision_at_20
|
| 1337 |
+
value: 6.643000000000001
|
| 1338 |
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- type: precision_at_3
|
| 1339 |
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value: 19.718
|
| 1340 |
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- type: precision_at_5
|
| 1341 |
+
value: 15.493000000000002
|
| 1342 |
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- type: recall_at_1
|
| 1343 |
+
value: 19.03
|
| 1344 |
+
- type: recall_at_10
|
| 1345 |
+
value: 51.961999999999996
|
| 1346 |
+
- type: recall_at_100
|
| 1347 |
+
value: 79.836
|
| 1348 |
+
- type: recall_at_1000
|
| 1349 |
+
value: 95.3
|
| 1350 |
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- type: recall_at_20
|
| 1351 |
+
value: 62.643
|
| 1352 |
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- type: recall_at_3
|
| 1353 |
+
value: 33.1
|
| 1354 |
+
- type: recall_at_5
|
| 1355 |
+
value: 41.791
|
| 1356 |
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- task:
|
| 1357 |
+
type: retrieval
|
| 1358 |
+
dataset:
|
| 1359 |
+
type: mteb/mrtydi
|
| 1360 |
+
name: MTEB MrTydiRetrieval (korean)
|
| 1361 |
+
config: korean
|
| 1362 |
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split: test
|
| 1363 |
+
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 1364 |
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metrics:
|
| 1365 |
+
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|
| 1366 |
+
value: 18.131
|
| 1367 |
+
- type: map_at_10
|
| 1368 |
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value: 23.858999999999998
|
| 1369 |
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- type: map_at_100
|
| 1370 |
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value: 24.507
|
| 1371 |
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- type: map_at_1000
|
| 1372 |
+
value: 24.582
|
| 1373 |
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- type: map_at_20
|
| 1374 |
+
value: 24.152
|
| 1375 |
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- type: map_at_3
|
| 1376 |
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value: 22.09
|
| 1377 |
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- type: map_at_5
|
| 1378 |
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value: 22.971
|
| 1379 |
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|
| 1380 |
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value: 20.19
|
| 1381 |
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- type: mrr_at_10
|
| 1382 |
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value: 26.249
|
| 1383 |
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- type: mrr_at_100
|
| 1384 |
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value: 26.871000000000002
|
| 1385 |
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- type: mrr_at_1000
|
| 1386 |
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value: 26.936
|
| 1387 |
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- type: mrr_at_20
|
| 1388 |
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value: 26.535999999999998
|
| 1389 |
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- type: mrr_at_3
|
| 1390 |
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value: 24.465999999999998
|
| 1391 |
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- type: mrr_at_5
|
| 1392 |
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value: 25.356
|
| 1393 |
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- type: ndcg_at_1
|
| 1394 |
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value: 20.19
|
| 1395 |
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|
| 1396 |
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value: 27.700000000000003
|
| 1397 |
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- type: ndcg_at_100
|
| 1398 |
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value: 31.436999999999998
|
| 1399 |
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- type: ndcg_at_1000
|
| 1400 |
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value: 33.690999999999995
|
| 1401 |
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- type: ndcg_at_20
|
| 1402 |
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value: 28.716
|
| 1403 |
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- type: ndcg_at_3
|
| 1404 |
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value: 23.985
|
| 1405 |
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- type: ndcg_at_5
|
| 1406 |
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value: 25.539
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| 1407 |
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- type: precision_at_1
|
| 1408 |
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value: 20.19
|
| 1409 |
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- type: precision_at_10
|
| 1410 |
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value: 4.181
|
| 1411 |
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- type: precision_at_100
|
| 1412 |
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value: 0.637
|
| 1413 |
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- type: precision_at_1000
|
| 1414 |
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value: 0.08499999999999999
|
| 1415 |
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- type: precision_at_20
|
| 1416 |
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value: 2.316
|
| 1417 |
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- type: precision_at_3
|
| 1418 |
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value: 10.135
|
| 1419 |
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- type: precision_at_5
|
| 1420 |
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value: 6.888
|
| 1421 |
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- type: recall_at_1
|
| 1422 |
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value: 18.131
|
| 1423 |
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- type: recall_at_10
|
| 1424 |
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value: 37.49
|
| 1425 |
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- type: recall_at_100
|
| 1426 |
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value: 55.859
|
| 1427 |
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- type: recall_at_1000
|
| 1428 |
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value: 73.634
|
| 1429 |
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- type: recall_at_20
|
| 1430 |
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value: 41.291
|
| 1431 |
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- type: recall_at_3
|
| 1432 |
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value: 27.276
|
| 1433 |
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- type: recall_at_5
|
| 1434 |
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value: 30.918
|
| 1435 |
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- task:
|
| 1436 |
+
type: retrieval
|
| 1437 |
+
dataset:
|
| 1438 |
+
type: mteb/miracl-hard-negatives
|
| 1439 |
+
name: MTEB MIRACLRetrievalHardNegatives (ru)
|
| 1440 |
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config: ru
|
| 1441 |
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split: dev
|
| 1442 |
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revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 1443 |
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metrics:
|
| 1444 |
+
- type: map_at_1
|
| 1445 |
+
value: 12.045
|
| 1446 |
+
- type: map_at_10
|
| 1447 |
+
value: 21.751
|
| 1448 |
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- type: map_at_100
|
| 1449 |
+
value: 24.517
|
| 1450 |
+
- type: map_at_1000
|
| 1451 |
+
value: 24.726
|
| 1452 |
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- type: map_at_20
|
| 1453 |
+
value: 23.142
|
| 1454 |
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- type: map_at_3
|
| 1455 |
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value: 17.546
|
| 1456 |
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- type: map_at_5
|
| 1457 |
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value: 19.555
|
| 1458 |
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- type: mrr_at_1
|
| 1459 |
+
value: 22.900000000000002
|
| 1460 |
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- type: mrr_at_10
|
| 1461 |
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value: 33.946
|
| 1462 |
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- type: mrr_at_100
|
| 1463 |
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value: 35.199999999999996
|
| 1464 |
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- type: mrr_at_1000
|
| 1465 |
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value: 35.233
|
| 1466 |
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- type: mrr_at_20
|
| 1467 |
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value: 34.791
|
| 1468 |
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- type: mrr_at_3
|
| 1469 |
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value: 30.099999999999998
|
| 1470 |
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- type: mrr_at_5
|
| 1471 |
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value: 32.18
|
| 1472 |
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- type: ndcg_at_1
|
| 1473 |
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value: 22.900000000000002
|
| 1474 |
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- type: ndcg_at_10
|
| 1475 |
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value: 29.587000000000003
|
| 1476 |
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- type: ndcg_at_100
|
| 1477 |
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value: 39.934999999999995
|
| 1478 |
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- type: ndcg_at_1000
|
| 1479 |
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value: 42.857
|
| 1480 |
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- type: ndcg_at_20
|
| 1481 |
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value: 33.531
|
| 1482 |
+
- type: ndcg_at_3
|
| 1483 |
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value: 23.361
|
| 1484 |
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- type: ndcg_at_5
|
| 1485 |
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value: 25.485999999999997
|
| 1486 |
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- type: precision_at_1
|
| 1487 |
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value: 22.900000000000002
|
| 1488 |
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- type: precision_at_10
|
| 1489 |
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value: 9.370000000000001
|
| 1490 |
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- type: precision_at_100
|
| 1491 |
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value: 2.1
|
| 1492 |
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- type: precision_at_1000
|
| 1493 |
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value: 0.263
|
| 1494 |
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- type: precision_at_20
|
| 1495 |
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value: 6.4399999999999995
|
| 1496 |
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- type: precision_at_3
|
| 1497 |
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value: 15.867
|
| 1498 |
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- type: precision_at_5
|
| 1499 |
+
value: 12.86
|
| 1500 |
+
- type: recall_at_1
|
| 1501 |
+
value: 12.045
|
| 1502 |
+
- type: recall_at_10
|
| 1503 |
+
value: 39.612
|
| 1504 |
+
- type: recall_at_100
|
| 1505 |
+
value: 76.132
|
| 1506 |
+
- type: recall_at_1000
|
| 1507 |
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value: 92.643
|
| 1508 |
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- type: recall_at_20
|
| 1509 |
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value: 51.13799999999999
|
| 1510 |
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- type: recall_at_3
|
| 1511 |
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value: 22.408
|
| 1512 |
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- type: recall_at_5
|
| 1513 |
+
value: 28.794999999999998
|
| 1514 |
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- task:
|
| 1515 |
+
type: retrieval
|
| 1516 |
+
dataset:
|
| 1517 |
+
type: mteb/mrtydi
|
| 1518 |
+
name: MTEB MrTydiRetrieval (russian)
|
| 1519 |
+
config: russian
|
| 1520 |
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split: test
|
| 1521 |
+
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 1522 |
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metrics:
|
| 1523 |
+
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|
| 1524 |
+
value: 12.127
|
| 1525 |
+
- type: map_at_10
|
| 1526 |
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value: 18.472
|
| 1527 |
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|
| 1528 |
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value: 19.395
|
| 1529 |
+
- type: map_at_1000
|
| 1530 |
+
value: 19.477
|
| 1531 |
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- type: map_at_20
|
| 1532 |
+
value: 18.966
|
| 1533 |
+
- type: map_at_3
|
| 1534 |
+
value: 16.309
|
| 1535 |
+
- type: map_at_5
|
| 1536 |
+
value: 17.53
|
| 1537 |
+
- type: mrr_at_1
|
| 1538 |
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value: 13.568
|
| 1539 |
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- type: mrr_at_10
|
| 1540 |
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value: 20.04
|
| 1541 |
+
- type: mrr_at_100
|
| 1542 |
+
value: 20.928
|
| 1543 |
+
- type: mrr_at_1000
|
| 1544 |
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value: 20.995
|
| 1545 |
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- type: mrr_at_20
|
| 1546 |
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value: 20.538
|
| 1547 |
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- type: mrr_at_3
|
| 1548 |
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value: 17.855999999999998
|
| 1549 |
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- type: mrr_at_5
|
| 1550 |
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value: 19.027
|
| 1551 |
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- type: ndcg_at_1
|
| 1552 |
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value: 13.568
|
| 1553 |
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- type: ndcg_at_10
|
| 1554 |
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value: 22.509
|
| 1555 |
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|
| 1556 |
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value: 27.230999999999998
|
| 1557 |
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|
| 1558 |
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value: 29.444
|
| 1559 |
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- type: ndcg_at_20
|
| 1560 |
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value: 24.277
|
| 1561 |
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- type: ndcg_at_3
|
| 1562 |
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value: 18.108
|
| 1563 |
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- type: ndcg_at_5
|
| 1564 |
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value: 20.252
|
| 1565 |
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- type: precision_at_1
|
| 1566 |
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value: 13.568
|
| 1567 |
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- type: precision_at_10
|
| 1568 |
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value: 3.769
|
| 1569 |
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- type: precision_at_100
|
| 1570 |
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value: 0.635
|
| 1571 |
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- type: precision_at_1000
|
| 1572 |
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value: 0.08499999999999999
|
| 1573 |
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- type: precision_at_20
|
| 1574 |
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value: 2.271
|
| 1575 |
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- type: precision_at_3
|
| 1576 |
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value: 8.107000000000001
|
| 1577 |
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- type: precision_at_5
|
| 1578 |
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value: 5.99
|
| 1579 |
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- type: recall_at_1
|
| 1580 |
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value: 12.127
|
| 1581 |
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- type: recall_at_10
|
| 1582 |
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value: 33.617999999999995
|
| 1583 |
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- type: recall_at_100
|
| 1584 |
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value: 55.662
|
| 1585 |
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- type: recall_at_1000
|
| 1586 |
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value: 72.697
|
| 1587 |
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- type: recall_at_20
|
| 1588 |
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value: 40.369
|
| 1589 |
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- type: recall_at_3
|
| 1590 |
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value: 21.91
|
| 1591 |
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- type: recall_at_5
|
| 1592 |
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value: 26.985
|
| 1593 |
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- task:
|
| 1594 |
+
type: retrieval
|
| 1595 |
+
dataset:
|
| 1596 |
+
type: mteb/miracl-hard-negatives
|
| 1597 |
+
name: MTEB MIRACLRetrievalHardNegatives (es)
|
| 1598 |
+
config: es
|
| 1599 |
+
split: dev
|
| 1600 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 1601 |
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metrics:
|
| 1602 |
+
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|
| 1603 |
+
value: 8.068
|
| 1604 |
+
- type: map_at_10
|
| 1605 |
+
value: 19.563
|
| 1606 |
+
- type: map_at_100
|
| 1607 |
+
value: 24.198
|
| 1608 |
+
- type: map_at_1000
|
| 1609 |
+
value: 24.532
|
| 1610 |
+
- type: map_at_20
|
| 1611 |
+
value: 21.929000000000002
|
| 1612 |
+
- type: map_at_3
|
| 1613 |
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value: 13.652000000000001
|
| 1614 |
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- type: map_at_5
|
| 1615 |
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value: 16.226
|
| 1616 |
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|
| 1617 |
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value: 30.092999999999996
|
| 1618 |
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- type: mrr_at_10
|
| 1619 |
+
value: 43.312
|
| 1620 |
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- type: mrr_at_100
|
| 1621 |
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value: 44.230999999999995
|
| 1622 |
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- type: mrr_at_1000
|
| 1623 |
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value: 44.252
|
| 1624 |
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- type: mrr_at_20
|
| 1625 |
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value: 43.891000000000005
|
| 1626 |
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|
| 1627 |
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value: 39.428999999999995
|
| 1628 |
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- type: mrr_at_5
|
| 1629 |
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value: 41.682
|
| 1630 |
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|
| 1631 |
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value: 30.092999999999996
|
| 1632 |
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|
| 1633 |
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value: 30.218
|
| 1634 |
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|
| 1635 |
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value: 43.716
|
| 1636 |
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|
| 1637 |
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value: 47.355000000000004
|
| 1638 |
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- type: ndcg_at_20
|
| 1639 |
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value: 35.268
|
| 1640 |
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|
| 1641 |
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value: 27.232
|
| 1642 |
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- type: ndcg_at_5
|
| 1643 |
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value: 26.874
|
| 1644 |
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- type: precision_at_1
|
| 1645 |
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value: 30.092999999999996
|
| 1646 |
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- type: precision_at_10
|
| 1647 |
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value: 15.293000000000001
|
| 1648 |
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- type: precision_at_100
|
| 1649 |
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value: 3.531
|
| 1650 |
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- type: precision_at_1000
|
| 1651 |
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value: 0.437
|
| 1652 |
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|
| 1653 |
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value: 10.693999999999999
|
| 1654 |
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- type: precision_at_3
|
| 1655 |
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value: 23.868000000000002
|
| 1656 |
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- type: precision_at_5
|
| 1657 |
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value: 19.938
|
| 1658 |
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- type: recall_at_1
|
| 1659 |
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value: 8.068
|
| 1660 |
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- type: recall_at_10
|
| 1661 |
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value: 35.778999999999996
|
| 1662 |
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- type: recall_at_100
|
| 1663 |
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value: 76.36699999999999
|
| 1664 |
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- type: recall_at_1000
|
| 1665 |
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value: 94.38499999999999
|
| 1666 |
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- type: recall_at_20
|
| 1667 |
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value: 48.014
|
| 1668 |
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- type: recall_at_3
|
| 1669 |
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value: 17.825
|
| 1670 |
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- type: recall_at_5
|
| 1671 |
+
value: 24.163999999999998
|
| 1672 |
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- task:
|
| 1673 |
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type: retrieval
|
| 1674 |
+
dataset:
|
| 1675 |
+
type: mteb/miracl-hard-negatives
|
| 1676 |
+
name: MTEB MIRACLRetrievalHardNegatives (sw)
|
| 1677 |
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config: sw
|
| 1678 |
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split: dev
|
| 1679 |
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revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 1680 |
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metrics:
|
| 1681 |
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|
| 1682 |
+
value: 12.568999999999999
|
| 1683 |
+
- type: map_at_10
|
| 1684 |
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value: 18.478
|
| 1685 |
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- type: map_at_100
|
| 1686 |
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value: 19.584
|
| 1687 |
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- type: map_at_1000
|
| 1688 |
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value: 19.714000000000002
|
| 1689 |
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- type: map_at_20
|
| 1690 |
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value: 19.073999999999998
|
| 1691 |
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- type: map_at_3
|
| 1692 |
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value: 16.275000000000002
|
| 1693 |
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- type: map_at_5
|
| 1694 |
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value: 17.53
|
| 1695 |
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- type: mrr_at_1
|
| 1696 |
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value: 20.124
|
| 1697 |
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- type: mrr_at_10
|
| 1698 |
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value: 25.951
|
| 1699 |
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- type: mrr_at_100
|
| 1700 |
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value: 26.812
|
| 1701 |
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- type: mrr_at_1000
|
| 1702 |
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value: 26.876
|
| 1703 |
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- type: mrr_at_20
|
| 1704 |
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value: 26.41
|
| 1705 |
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- type: mrr_at_3
|
| 1706 |
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value: 23.893
|
| 1707 |
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- type: mrr_at_5
|
| 1708 |
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value: 25.055
|
| 1709 |
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- type: ndcg_at_1
|
| 1710 |
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value: 20.124
|
| 1711 |
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- type: ndcg_at_10
|
| 1712 |
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value: 23.064999999999998
|
| 1713 |
+
- type: ndcg_at_100
|
| 1714 |
+
value: 28.193
|
| 1715 |
+
- type: ndcg_at_1000
|
| 1716 |
+
value: 31.313000000000002
|
| 1717 |
+
- type: ndcg_at_20
|
| 1718 |
+
value: 24.921
|
| 1719 |
+
- type: ndcg_at_3
|
| 1720 |
+
value: 19.436
|
| 1721 |
+
- type: ndcg_at_5
|
| 1722 |
+
value: 20.990000000000002
|
| 1723 |
+
- type: precision_at_1
|
| 1724 |
+
value: 20.124
|
| 1725 |
+
- type: precision_at_10
|
| 1726 |
+
value: 5.021
|
| 1727 |
+
- type: precision_at_100
|
| 1728 |
+
value: 0.927
|
| 1729 |
+
- type: precision_at_1000
|
| 1730 |
+
value: 0.13699999999999998
|
| 1731 |
+
- type: precision_at_20
|
| 1732 |
+
value: 3.1329999999999996
|
| 1733 |
+
- type: precision_at_3
|
| 1734 |
+
value: 10.719
|
| 1735 |
+
- type: precision_at_5
|
| 1736 |
+
value: 8.091
|
| 1737 |
+
- type: recall_at_1
|
| 1738 |
+
value: 12.568999999999999
|
| 1739 |
+
- type: recall_at_10
|
| 1740 |
+
value: 29.727999999999998
|
| 1741 |
+
- type: recall_at_100
|
| 1742 |
+
value: 50.70099999999999
|
| 1743 |
+
- type: recall_at_1000
|
| 1744 |
+
value: 71.856
|
| 1745 |
+
- type: recall_at_20
|
| 1746 |
+
value: 35.831
|
| 1747 |
+
- type: recall_at_3
|
| 1748 |
+
value: 19.758
|
| 1749 |
+
- type: recall_at_5
|
| 1750 |
+
value: 24.035999999999998
|
| 1751 |
+
- task:
|
| 1752 |
+
type: retrieval
|
| 1753 |
+
dataset:
|
| 1754 |
+
type: mteb/mrtydi
|
| 1755 |
+
name: MTEB MrTydiRetrieval (swahili)
|
| 1756 |
+
config: swahili
|
| 1757 |
+
split: test
|
| 1758 |
+
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 1759 |
+
metrics:
|
| 1760 |
+
- type: map_at_1
|
| 1761 |
+
value: 15.597
|
| 1762 |
+
- type: map_at_10
|
| 1763 |
+
value: 23.596
|
| 1764 |
+
- type: map_at_100
|
| 1765 |
+
value: 24.32
|
| 1766 |
+
- type: map_at_1000
|
| 1767 |
+
value: 24.377
|
| 1768 |
+
- type: map_at_20
|
| 1769 |
+
value: 23.913999999999998
|
| 1770 |
+
- type: map_at_3
|
| 1771 |
+
value: 21.484
|
| 1772 |
+
- type: map_at_5
|
| 1773 |
+
value: 22.647000000000002
|
| 1774 |
+
- type: mrr_at_1
|
| 1775 |
+
value: 16.866
|
| 1776 |
+
- type: mrr_at_10
|
| 1777 |
+
value: 24.633
|
| 1778 |
+
- type: mrr_at_100
|
| 1779 |
+
value: 25.291000000000004
|
| 1780 |
+
- type: mrr_at_1000
|
| 1781 |
+
value: 25.346999999999998
|
| 1782 |
+
- type: mrr_at_20
|
| 1783 |
+
value: 24.907
|
| 1784 |
+
- type: mrr_at_3
|
| 1785 |
+
value: 22.587
|
| 1786 |
+
- type: mrr_at_5
|
| 1787 |
+
value: 23.677
|
| 1788 |
+
- type: ndcg_at_1
|
| 1789 |
+
value: 16.866
|
| 1790 |
+
- type: ndcg_at_10
|
| 1791 |
+
value: 27.749000000000002
|
| 1792 |
+
- type: ndcg_at_100
|
| 1793 |
+
value: 31.769
|
| 1794 |
+
- type: ndcg_at_1000
|
| 1795 |
+
value: 33.61
|
| 1796 |
+
- type: ndcg_at_20
|
| 1797 |
+
value: 28.849000000000004
|
| 1798 |
+
- type: ndcg_at_3
|
| 1799 |
+
value: 23.462
|
| 1800 |
+
- type: ndcg_at_5
|
| 1801 |
+
value: 25.491000000000003
|
| 1802 |
+
- type: precision_at_1
|
| 1803 |
+
value: 16.866
|
| 1804 |
+
- type: precision_at_10
|
| 1805 |
+
value: 4.343
|
| 1806 |
+
- type: precision_at_100
|
| 1807 |
+
value: 0.649
|
| 1808 |
+
- type: precision_at_1000
|
| 1809 |
+
value: 0.08099999999999999
|
| 1810 |
+
- type: precision_at_20
|
| 1811 |
+
value: 2.41
|
| 1812 |
+
- type: precision_at_3
|
| 1813 |
+
value: 10.149
|
| 1814 |
+
- type: precision_at_5
|
| 1815 |
+
value: 7.134
|
| 1816 |
+
- type: recall_at_1
|
| 1817 |
+
value: 15.597
|
| 1818 |
+
- type: recall_at_10
|
| 1819 |
+
value: 39.652
|
| 1820 |
+
- type: recall_at_100
|
| 1821 |
+
value: 59.477999999999994
|
| 1822 |
+
- type: recall_at_1000
|
| 1823 |
+
value: 74.35300000000001
|
| 1824 |
+
- type: recall_at_20
|
| 1825 |
+
value: 43.905
|
| 1826 |
+
- type: recall_at_3
|
| 1827 |
+
value: 28.109
|
| 1828 |
+
- type: recall_at_5
|
| 1829 |
+
value: 32.934999999999995
|
| 1830 |
+
- task:
|
| 1831 |
+
type: retrieval
|
| 1832 |
+
dataset:
|
| 1833 |
+
type: mteb/miracl-hard-negatives
|
| 1834 |
+
name: MTEB MIRACLRetrievalHardNegatives (te)
|
| 1835 |
+
config: te
|
| 1836 |
+
split: dev
|
| 1837 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 1838 |
+
metrics:
|
| 1839 |
+
- type: map_at_1
|
| 1840 |
+
value: 21.236
|
| 1841 |
+
- type: map_at_10
|
| 1842 |
+
value: 29.841
|
| 1843 |
+
- type: map_at_100
|
| 1844 |
+
value: 30.729
|
| 1845 |
+
- type: map_at_1000
|
| 1846 |
+
value: 30.817
|
| 1847 |
+
- type: map_at_20
|
| 1848 |
+
value: 30.331999999999997
|
| 1849 |
+
- type: map_at_3
|
| 1850 |
+
value: 27.154
|
| 1851 |
+
- type: map_at_5
|
| 1852 |
+
value: 28.719
|
| 1853 |
+
- type: mrr_at_1
|
| 1854 |
+
value: 21.618000000000002
|
| 1855 |
+
- type: mrr_at_10
|
| 1856 |
+
value: 30.192999999999998
|
| 1857 |
+
- type: mrr_at_100
|
| 1858 |
+
value: 31.067
|
| 1859 |
+
- type: mrr_at_1000
|
| 1860 |
+
value: 31.148999999999997
|
| 1861 |
+
- type: mrr_at_20
|
| 1862 |
+
value: 30.668
|
| 1863 |
+
- type: mrr_at_3
|
| 1864 |
+
value: 27.576
|
| 1865 |
+
- type: mrr_at_5
|
| 1866 |
+
value: 29.110000000000003
|
| 1867 |
+
- type: ndcg_at_1
|
| 1868 |
+
value: 21.618000000000002
|
| 1869 |
+
- type: ndcg_at_10
|
| 1870 |
+
value: 34.633
|
| 1871 |
+
- type: ndcg_at_100
|
| 1872 |
+
value: 39.425
|
| 1873 |
+
- type: ndcg_at_1000
|
| 1874 |
+
value: 41.762
|
| 1875 |
+
- type: ndcg_at_20
|
| 1876 |
+
value: 36.428
|
| 1877 |
+
- type: ndcg_at_3
|
| 1878 |
+
value: 29.189
|
| 1879 |
+
- type: ndcg_at_5
|
| 1880 |
+
value: 31.995
|
| 1881 |
+
- type: precision_at_1
|
| 1882 |
+
value: 21.618000000000002
|
| 1883 |
+
- type: precision_at_10
|
| 1884 |
+
value: 5.1209999999999996
|
| 1885 |
+
- type: precision_at_100
|
| 1886 |
+
value: 0.751
|
| 1887 |
+
- type: precision_at_1000
|
| 1888 |
+
value: 0.094
|
| 1889 |
+
- type: precision_at_20
|
| 1890 |
+
value: 2.923
|
| 1891 |
+
- type: precision_at_3
|
| 1892 |
+
value: 11.876000000000001
|
| 1893 |
+
- type: precision_at_5
|
| 1894 |
+
value: 8.551
|
| 1895 |
+
- type: recall_at_1
|
| 1896 |
+
value: 21.236
|
| 1897 |
+
- type: recall_at_10
|
| 1898 |
+
value: 49.436
|
| 1899 |
+
- type: recall_at_100
|
| 1900 |
+
value: 72.94699999999999
|
| 1901 |
+
- type: recall_at_1000
|
| 1902 |
+
value: 91.405
|
| 1903 |
+
- type: recall_at_20
|
| 1904 |
+
value: 56.562
|
| 1905 |
+
- type: recall_at_3
|
| 1906 |
+
value: 34.682
|
| 1907 |
+
- type: recall_at_5
|
| 1908 |
+
value: 41.445
|
| 1909 |
+
- task:
|
| 1910 |
+
type: retrieval
|
| 1911 |
+
dataset:
|
| 1912 |
+
type: mteb/mrtydi
|
| 1913 |
+
name: MTEB MrTydiRetrieval (telugu)
|
| 1914 |
+
config: telugu
|
| 1915 |
+
split: test
|
| 1916 |
+
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 1917 |
+
metrics:
|
| 1918 |
+
- type: map_at_1
|
| 1919 |
+
value: 16.872999999999998
|
| 1920 |
+
- type: map_at_10
|
| 1921 |
+
value: 26.543
|
| 1922 |
+
- type: map_at_100
|
| 1923 |
+
value: 27.3
|
| 1924 |
+
- type: map_at_1000
|
| 1925 |
+
value: 27.389999999999997
|
| 1926 |
+
- type: map_at_20
|
| 1927 |
+
value: 26.883000000000003
|
| 1928 |
+
- type: map_at_3
|
| 1929 |
+
value: 23.735999999999997
|
| 1930 |
+
- type: map_at_5
|
| 1931 |
+
value: 25.113999999999997
|
| 1932 |
+
- type: mrr_at_1
|
| 1933 |
+
value: 17.492
|
| 1934 |
+
- type: mrr_at_10
|
| 1935 |
+
value: 27.233
|
| 1936 |
+
- type: mrr_at_100
|
| 1937 |
+
value: 27.950999999999997
|
| 1938 |
+
- type: mrr_at_1000
|
| 1939 |
+
value: 28.037
|
| 1940 |
+
- type: mrr_at_20
|
| 1941 |
+
value: 27.556000000000004
|
| 1942 |
+
- type: mrr_at_3
|
| 1943 |
+
value: 24.458
|
| 1944 |
+
- type: mrr_at_5
|
| 1945 |
+
value: 25.874999999999996
|
| 1946 |
+
- type: ndcg_at_1
|
| 1947 |
+
value: 17.492
|
| 1948 |
+
- type: ndcg_at_10
|
| 1949 |
+
value: 32.013999999999996
|
| 1950 |
+
- type: ndcg_at_100
|
| 1951 |
+
value: 36.299
|
| 1952 |
+
- type: ndcg_at_1000
|
| 1953 |
+
value: 38.868
|
| 1954 |
+
- type: ndcg_at_20
|
| 1955 |
+
value: 33.238
|
| 1956 |
+
- type: ndcg_at_3
|
| 1957 |
+
value: 26.133
|
| 1958 |
+
- type: ndcg_at_5
|
| 1959 |
+
value: 28.632999999999996
|
| 1960 |
+
- type: precision_at_1
|
| 1961 |
+
value: 17.492
|
| 1962 |
+
- type: precision_at_10
|
| 1963 |
+
value: 5.108
|
| 1964 |
+
- type: precision_at_100
|
| 1965 |
+
value: 0.735
|
| 1966 |
+
- type: precision_at_1000
|
| 1967 |
+
value: 0.095
|
| 1968 |
+
- type: precision_at_20
|
| 1969 |
+
value: 2.81
|
| 1970 |
+
- type: precision_at_3
|
| 1971 |
+
value: 11.3
|
| 1972 |
+
- type: precision_at_5
|
| 1973 |
+
value: 8.019
|
| 1974 |
+
- type: recall_at_1
|
| 1975 |
+
value: 16.872999999999998
|
| 1976 |
+
- type: recall_at_10
|
| 1977 |
+
value: 48.684
|
| 1978 |
+
- type: recall_at_100
|
| 1979 |
+
value: 70.04599999999999
|
| 1980 |
+
- type: recall_at_1000
|
| 1981 |
+
value: 90.635
|
| 1982 |
+
- type: recall_at_20
|
| 1983 |
+
value: 53.483000000000004
|
| 1984 |
+
- type: recall_at_3
|
| 1985 |
+
value: 32.353
|
| 1986 |
+
- type: recall_at_5
|
| 1987 |
+
value: 38.39
|
| 1988 |
+
- task:
|
| 1989 |
+
type: retrieval
|
| 1990 |
+
dataset:
|
| 1991 |
+
type: mteb/miracl-hard-negatives
|
| 1992 |
+
name: MTEB MIRACLRetrievalHardNegatives (th)
|
| 1993 |
+
config: th
|
| 1994 |
+
split: dev
|
| 1995 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 1996 |
+
metrics:
|
| 1997 |
+
- type: map_at_1
|
| 1998 |
+
value: 19.205
|
| 1999 |
+
- type: map_at_10
|
| 2000 |
+
value: 32.704
|
| 2001 |
+
- type: map_at_100
|
| 2002 |
+
value: 34.519
|
| 2003 |
+
- type: map_at_1000
|
| 2004 |
+
value: 34.634
|
| 2005 |
+
- type: map_at_20
|
| 2006 |
+
value: 33.762
|
| 2007 |
+
- type: map_at_3
|
| 2008 |
+
value: 27.992
|
| 2009 |
+
- type: map_at_5
|
| 2010 |
+
value: 30.354999999999997
|
| 2011 |
+
- type: mrr_at_1
|
| 2012 |
+
value: 27.558
|
| 2013 |
+
- type: mrr_at_10
|
| 2014 |
+
value: 40.933
|
| 2015 |
+
- type: mrr_at_100
|
| 2016 |
+
value: 41.916
|
| 2017 |
+
- type: mrr_at_1000
|
| 2018 |
+
value: 41.946
|
| 2019 |
+
- type: mrr_at_20
|
| 2020 |
+
value: 41.54
|
| 2021 |
+
- type: mrr_at_3
|
| 2022 |
+
value: 37.312
|
| 2023 |
+
- type: mrr_at_5
|
| 2024 |
+
value: 39.393
|
| 2025 |
+
- type: ndcg_at_1
|
| 2026 |
+
value: 27.558
|
| 2027 |
+
- type: ndcg_at_10
|
| 2028 |
+
value: 41.038999999999994
|
| 2029 |
+
- type: ndcg_at_100
|
| 2030 |
+
value: 48.076
|
| 2031 |
+
- type: ndcg_at_1000
|
| 2032 |
+
value: 49.946
|
| 2033 |
+
- type: ndcg_at_20
|
| 2034 |
+
value: 44.03
|
| 2035 |
+
- type: ndcg_at_3
|
| 2036 |
+
value: 33.013999999999996
|
| 2037 |
+
- type: ndcg_at_5
|
| 2038 |
+
value: 36.519
|
| 2039 |
+
- type: precision_at_1
|
| 2040 |
+
value: 27.558
|
| 2041 |
+
- type: precision_at_10
|
| 2042 |
+
value: 9.523
|
| 2043 |
+
- type: precision_at_100
|
| 2044 |
+
value: 1.52
|
| 2045 |
+
- type: precision_at_1000
|
| 2046 |
+
value: 0.178
|
| 2047 |
+
- type: precision_at_20
|
| 2048 |
+
value: 5.778
|
| 2049 |
+
- type: precision_at_3
|
| 2050 |
+
value: 18.963
|
| 2051 |
+
- type: precision_at_5
|
| 2052 |
+
value: 14.379
|
| 2053 |
+
- type: recall_at_1
|
| 2054 |
+
value: 19.205
|
| 2055 |
+
- type: recall_at_10
|
| 2056 |
+
value: 56.94200000000001
|
| 2057 |
+
- type: recall_at_100
|
| 2058 |
+
value: 84.937
|
| 2059 |
+
- type: recall_at_1000
|
| 2060 |
+
value: 96.86399999999999
|
| 2061 |
+
- type: recall_at_20
|
| 2062 |
+
value: 66.719
|
| 2063 |
+
- type: recall_at_3
|
| 2064 |
+
value: 36.536
|
| 2065 |
+
- type: recall_at_5
|
| 2066 |
+
value: 44.854
|
| 2067 |
+
- task:
|
| 2068 |
+
type: retrieval
|
| 2069 |
+
dataset:
|
| 2070 |
+
type: mteb/mrtydi
|
| 2071 |
+
name: MTEB MrTydiRetrieval (thai)
|
| 2072 |
+
config: thai
|
| 2073 |
+
split: test
|
| 2074 |
+
revision: fc24a3ce8f09746410daee3d5cd823ff7a0675b7
|
| 2075 |
+
metrics:
|
| 2076 |
+
- type: map_at_1
|
| 2077 |
+
value: 17.913
|
| 2078 |
+
- type: map_at_10
|
| 2079 |
+
value: 29.006999999999998
|
| 2080 |
+
- type: map_at_100
|
| 2081 |
+
value: 30.184
|
| 2082 |
+
- type: map_at_1000
|
| 2083 |
+
value: 30.249
|
| 2084 |
+
- type: map_at_20
|
| 2085 |
+
value: 29.799999999999997
|
| 2086 |
+
- type: map_at_3
|
| 2087 |
+
value: 25.14
|
| 2088 |
+
- type: map_at_5
|
| 2089 |
+
value: 27.172
|
| 2090 |
+
- type: mrr_at_1
|
| 2091 |
+
value: 19.664
|
| 2092 |
+
- type: mrr_at_10
|
| 2093 |
+
value: 30.891000000000002
|
| 2094 |
+
- type: mrr_at_100
|
| 2095 |
+
value: 31.896
|
| 2096 |
+
- type: mrr_at_1000
|
| 2097 |
+
value: 31.951
|
| 2098 |
+
- type: mrr_at_20
|
| 2099 |
+
value: 31.566
|
| 2100 |
+
- type: mrr_at_3
|
| 2101 |
+
value: 27.128999999999998
|
| 2102 |
+
- type: mrr_at_5
|
| 2103 |
+
value: 29.255
|
| 2104 |
+
- type: ndcg_at_1
|
| 2105 |
+
value: 19.664
|
| 2106 |
+
- type: ndcg_at_10
|
| 2107 |
+
value: 35.674
|
| 2108 |
+
- type: ndcg_at_100
|
| 2109 |
+
value: 40.969
|
| 2110 |
+
- type: ndcg_at_1000
|
| 2111 |
+
value: 42.698
|
| 2112 |
+
- type: ndcg_at_20
|
| 2113 |
+
value: 38.345
|
| 2114 |
+
- type: ndcg_at_3
|
| 2115 |
+
value: 27.826
|
| 2116 |
+
- type: ndcg_at_5
|
| 2117 |
+
value: 31.493
|
| 2118 |
+
- type: precision_at_1
|
| 2119 |
+
value: 19.664
|
| 2120 |
+
- type: precision_at_10
|
| 2121 |
+
value: 6.143
|
| 2122 |
+
- type: precision_at_100
|
| 2123 |
+
value: 0.8909999999999999
|
| 2124 |
+
- type: precision_at_1000
|
| 2125 |
+
value: 0.105
|
| 2126 |
+
- type: precision_at_20
|
| 2127 |
+
value: 3.66
|
| 2128 |
+
- type: precision_at_3
|
| 2129 |
+
value: 12.353
|
| 2130 |
+
- type: precision_at_5
|
| 2131 |
+
value: 9.411999999999999
|
| 2132 |
+
- type: recall_at_1
|
| 2133 |
+
value: 17.913
|
| 2134 |
+
- type: recall_at_10
|
| 2135 |
+
value: 54.705999999999996
|
| 2136 |
+
- type: recall_at_100
|
| 2137 |
+
value: 78.557
|
| 2138 |
+
- type: recall_at_1000
|
| 2139 |
+
value: 91.835
|
| 2140 |
+
- type: recall_at_20
|
| 2141 |
+
value: 64.846
|
| 2142 |
+
- type: recall_at_3
|
| 2143 |
+
value: 33.669
|
| 2144 |
+
- type: recall_at_5
|
| 2145 |
+
value: 42.297000000000004
|
| 2146 |
+
- task:
|
| 2147 |
+
type: retrieval
|
| 2148 |
+
dataset:
|
| 2149 |
+
type: mteb/miracl-hard-negatives
|
| 2150 |
+
name: MTEB MIRACLRetrievalHardNegatives (yo)
|
| 2151 |
+
config: yo
|
| 2152 |
+
split: dev
|
| 2153 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 2154 |
+
metrics:
|
| 2155 |
+
- type: map_at_1
|
| 2156 |
+
value: 7.002999999999999
|
| 2157 |
+
- type: map_at_10
|
| 2158 |
+
value: 9.567
|
| 2159 |
+
- type: map_at_100
|
| 2160 |
+
value: 10.126
|
| 2161 |
+
- type: map_at_1000
|
| 2162 |
+
value: 10.209
|
| 2163 |
+
- type: map_at_20
|
| 2164 |
+
value: 9.944
|
| 2165 |
+
- type: map_at_3
|
| 2166 |
+
value: 8.929
|
| 2167 |
+
- type: map_at_5
|
| 2168 |
+
value: 8.929
|
| 2169 |
+
- type: mrr_at_1
|
| 2170 |
+
value: 7.563000000000001
|
| 2171 |
+
- type: mrr_at_10
|
| 2172 |
+
value: 10.503
|
| 2173 |
+
- type: mrr_at_100
|
| 2174 |
+
value: 11.151
|
| 2175 |
+
- type: mrr_at_1000
|
| 2176 |
+
value: 11.232000000000001
|
| 2177 |
+
- type: mrr_at_20
|
| 2178 |
+
value: 10.965
|
| 2179 |
+
- type: mrr_at_3
|
| 2180 |
+
value: 9.804
|
| 2181 |
+
- type: mrr_at_5
|
| 2182 |
+
value: 9.804
|
| 2183 |
+
- type: ndcg_at_1
|
| 2184 |
+
value: 7.563000000000001
|
| 2185 |
+
- type: ndcg_at_10
|
| 2186 |
+
value: 11.304
|
| 2187 |
+
- type: ndcg_at_100
|
| 2188 |
+
value: 14.526
|
| 2189 |
+
- type: ndcg_at_1000
|
| 2190 |
+
value: 17.253
|
| 2191 |
+
- type: ndcg_at_20
|
| 2192 |
+
value: 12.766
|
| 2193 |
+
- type: ndcg_at_3
|
| 2194 |
+
value: 9.797
|
| 2195 |
+
- type: ndcg_at_5
|
| 2196 |
+
value: 9.754999999999999
|
| 2197 |
+
- type: precision_at_1
|
| 2198 |
+
value: 7.563000000000001
|
| 2199 |
+
- type: precision_at_10
|
| 2200 |
+
value: 1.765
|
| 2201 |
+
- type: precision_at_100
|
| 2202 |
+
value: 0.378
|
| 2203 |
+
- type: precision_at_1000
|
| 2204 |
+
value: 0.064
|
| 2205 |
+
- type: precision_at_20
|
| 2206 |
+
value: 1.261
|
| 2207 |
+
- type: precision_at_3
|
| 2208 |
+
value: 4.202
|
| 2209 |
+
- type: precision_at_5
|
| 2210 |
+
value: 2.521
|
| 2211 |
+
- type: recall_at_1
|
| 2212 |
+
value: 7.002999999999999
|
| 2213 |
+
- type: recall_at_10
|
| 2214 |
+
value: 16.036
|
| 2215 |
+
- type: recall_at_100
|
| 2216 |
+
value: 31.302999999999997
|
| 2217 |
+
- type: recall_at_1000
|
| 2218 |
+
value: 53.010999999999996
|
| 2219 |
+
- type: recall_at_20
|
| 2220 |
+
value: 21.429000000000002
|
| 2221 |
+
- type: recall_at_3
|
| 2222 |
+
value: 11.415000000000001
|
| 2223 |
+
- type: recall_at_5
|
| 2224 |
+
value: 11.415000000000001
|
| 2225 |
+
- task:
|
| 2226 |
+
type: retrieval
|
| 2227 |
+
dataset:
|
| 2228 |
+
type: mteb/miracl-hard-negatives
|
| 2229 |
+
name: MTEB MIRACLRetrievalHardNegatives (zh)
|
| 2230 |
+
config: zh
|
| 2231 |
+
split: dev
|
| 2232 |
+
revision: 95c8db7d4a6e9c1d8a60601afd63d553ae20a2eb
|
| 2233 |
+
metrics:
|
| 2234 |
+
- type: map_at_1
|
| 2235 |
+
value: 8.341999999999999
|
| 2236 |
+
- type: map_at_10
|
| 2237 |
+
value: 18.393
|
| 2238 |
+
- type: map_at_100
|
| 2239 |
+
value: 21.796
|
| 2240 |
+
- type: map_at_1000
|
| 2241 |
+
value: 21.932
|
| 2242 |
+
- type: map_at_20
|
| 2243 |
+
value: 20.238999999999997
|
| 2244 |
+
- type: map_at_3
|
| 2245 |
+
value: 13.386999999999999
|
| 2246 |
+
- type: map_at_5
|
| 2247 |
+
value: 15.568000000000001
|
| 2248 |
+
- type: mrr_at_1
|
| 2249 |
+
value: 15.522
|
| 2250 |
+
- type: mrr_at_10
|
| 2251 |
+
value: 28.386
|
| 2252 |
+
- type: mrr_at_100
|
| 2253 |
+
value: 29.906
|
| 2254 |
+
- type: mrr_at_1000
|
| 2255 |
+
value: 29.925
|
| 2256 |
+
- type: mrr_at_20
|
| 2257 |
+
value: 29.413
|
| 2258 |
+
- type: mrr_at_3
|
| 2259 |
+
value: 23.707
|
| 2260 |
+
- type: mrr_at_5
|
| 2261 |
+
value: 26.073
|
| 2262 |
+
- type: ndcg_at_1
|
| 2263 |
+
value: 15.522
|
| 2264 |
+
- type: ndcg_at_10
|
| 2265 |
+
value: 26.904
|
| 2266 |
+
- type: ndcg_at_100
|
| 2267 |
+
value: 39.336
|
| 2268 |
+
- type: ndcg_at_1000
|
| 2269 |
+
value: 41.244
|
| 2270 |
+
- type: ndcg_at_20
|
| 2271 |
+
value: 32.04
|
| 2272 |
+
- type: ndcg_at_3
|
| 2273 |
+
value: 18.34
|
| 2274 |
+
- type: ndcg_at_5
|
| 2275 |
+
value: 21.29
|
| 2276 |
+
- type: precision_at_1
|
| 2277 |
+
value: 15.522
|
| 2278 |
+
- type: precision_at_10
|
| 2279 |
+
value: 9.084
|
| 2280 |
+
- type: precision_at_100
|
| 2281 |
+
value: 2.1149999999999998
|
| 2282 |
+
- type: precision_at_1000
|
| 2283 |
+
value: 0.244
|
| 2284 |
+
- type: precision_at_20
|
| 2285 |
+
value: 6.5009999999999994
|
| 2286 |
+
- type: precision_at_3
|
| 2287 |
+
value: 13.232
|
| 2288 |
+
- type: precision_at_5
|
| 2289 |
+
value: 11.552
|
| 2290 |
+
- type: recall_at_1
|
| 2291 |
+
value: 8.341999999999999
|
| 2292 |
+
- type: recall_at_10
|
| 2293 |
+
value: 40.553
|
| 2294 |
+
- type: recall_at_100
|
| 2295 |
+
value: 86.33
|
| 2296 |
+
- type: recall_at_1000
|
| 2297 |
+
value: 97.24199999999999
|
| 2298 |
+
- type: recall_at_20
|
| 2299 |
+
value: 56.589999999999996
|
| 2300 |
+
- type: recall_at_3
|
| 2301 |
+
value: 18.82
|
| 2302 |
+
- type: recall_at_5
|
| 2303 |
+
value: 26.304
|
| 2304 |
widget:
|
| 2305 |
- source_sentence: ما هي أفضل الفنادق في ايبوهبالقرب من Ipoh Parade Shopping Centre؟
|
| 2306 |
sentences:
|
|
|
|
| 2372 |
Zustand autoklaviert werden.
|
| 2373 |
pipeline_tag: sentence-similarity
|
| 2374 |
library_name: sentence-transformers
|
| 2375 |
+
license: mit
|
| 2376 |
---
|
| 2377 |
|
| 2378 |
# SentenceTransformer
|
|
|
|
| 2383 |
|
| 2384 |
### Model Description
|
| 2385 |
- **Model Type:** Sentence Transformer
|
| 2386 |
+
- **Base model:** [XLM-RoBERTa-base](https://huggingface.co/FacebookAI/xlm-roberta-base)
|
| 2387 |
- **Maximum Sequence Length:** 512 tokens
|
| 2388 |
- **Output Dimensionality:** 768 dimensions
|
| 2389 |
- **Similarity Function:** Cosine Similarity
|
| 2390 |
+
- **Training Dataset:** [MS MARCO Hard Negatives](https://sbert.net/examples/training/ms_marco/README.html) (mined by a MiniLM cross-encoder)
|
| 2391 |
<!-- - **Language:** Unknown -->
|
| 2392 |
+
- **License:** MIT
|
| 2393 |
|
| 2394 |
### Model Sources
|
| 2395 |
|
|
|
|
| 2421 |
from sentence_transformers import SentenceTransformer
|
| 2422 |
|
| 2423 |
# Download from the 🤗 Hub
|
| 2424 |
+
model = SentenceTransformer("anonymous202501/xlm-roberta-base-msmarco-webfaq")
|
| 2425 |
# Run inference
|
| 2426 |
sentences = [
|
| 2427 |
'Muss der Deckel der TipBox beim Autoklavieren geöffnet werden?',
|