upload evaluation result on mteb
Browse files
README.md
CHANGED
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@@ -5,7 +5,2313 @@ tags:
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| 5 |
- feature-extraction
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| 6 |
- sentence-similarity
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| 7 |
- transformers
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| 8 |
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| 9 |
---
|
| 10 |
|
| 11 |
# embedder-100p
|
|
|
|
| 5 |
- feature-extraction
|
| 6 |
- sentence-similarity
|
| 7 |
- transformers
|
| 8 |
+
- mteb
|
| 9 |
+
model-index:
|
| 10 |
+
- name: embedder-100p
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
type: Classification
|
| 14 |
+
dataset:
|
| 15 |
+
type: mteb/amazon_counterfactual
|
| 16 |
+
name: MTEB AmazonCounterfactualClassification (en)
|
| 17 |
+
config: en
|
| 18 |
+
split: test
|
| 19 |
+
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 20 |
+
metrics:
|
| 21 |
+
- type: accuracy
|
| 22 |
+
value: 67.05970149253731
|
| 23 |
+
- type: ap
|
| 24 |
+
value: 30.376473854922846
|
| 25 |
+
- type: f1
|
| 26 |
+
value: 61.30474831792133
|
| 27 |
+
- task:
|
| 28 |
+
type: Classification
|
| 29 |
+
dataset:
|
| 30 |
+
type: mteb/amazon_polarity
|
| 31 |
+
name: MTEB AmazonPolarityClassification
|
| 32 |
+
config: default
|
| 33 |
+
split: test
|
| 34 |
+
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
|
| 35 |
+
metrics:
|
| 36 |
+
- type: accuracy
|
| 37 |
+
value: 70.40859999999999
|
| 38 |
+
- type: ap
|
| 39 |
+
value: 64.61614079870762
|
| 40 |
+
- type: f1
|
| 41 |
+
value: 70.28138858999333
|
| 42 |
+
- task:
|
| 43 |
+
type: Classification
|
| 44 |
+
dataset:
|
| 45 |
+
type: mteb/amazon_reviews_multi
|
| 46 |
+
name: MTEB AmazonReviewsClassification (en)
|
| 47 |
+
config: en
|
| 48 |
+
split: test
|
| 49 |
+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 50 |
+
metrics:
|
| 51 |
+
- type: accuracy
|
| 52 |
+
value: 33.214
|
| 53 |
+
- type: f1
|
| 54 |
+
value: 33.123322451005755
|
| 55 |
+
- task:
|
| 56 |
+
type: Retrieval
|
| 57 |
+
dataset:
|
| 58 |
+
type: arguana
|
| 59 |
+
name: MTEB ArguAna
|
| 60 |
+
config: default
|
| 61 |
+
split: test
|
| 62 |
+
revision: None
|
| 63 |
+
metrics:
|
| 64 |
+
- type: map_at_1
|
| 65 |
+
value: 27.311999999999998
|
| 66 |
+
- type: map_at_10
|
| 67 |
+
value: 42.760999999999996
|
| 68 |
+
- type: map_at_100
|
| 69 |
+
value: 43.691
|
| 70 |
+
- type: map_at_1000
|
| 71 |
+
value: 43.698
|
| 72 |
+
- type: map_at_3
|
| 73 |
+
value: 37.091
|
| 74 |
+
- type: map_at_5
|
| 75 |
+
value: 40.398
|
| 76 |
+
- type: mrr_at_1
|
| 77 |
+
value: 28.377999999999997
|
| 78 |
+
- type: mrr_at_10
|
| 79 |
+
value: 43.138
|
| 80 |
+
- type: mrr_at_100
|
| 81 |
+
value: 44.088
|
| 82 |
+
- type: mrr_at_1000
|
| 83 |
+
value: 44.095
|
| 84 |
+
- type: mrr_at_3
|
| 85 |
+
value: 37.47
|
| 86 |
+
- type: mrr_at_5
|
| 87 |
+
value: 40.749
|
| 88 |
+
- type: ndcg_at_1
|
| 89 |
+
value: 27.311999999999998
|
| 90 |
+
- type: ndcg_at_10
|
| 91 |
+
value: 52.035
|
| 92 |
+
- type: ndcg_at_100
|
| 93 |
+
value: 55.891000000000005
|
| 94 |
+
- type: ndcg_at_1000
|
| 95 |
+
value: 56.043
|
| 96 |
+
- type: ndcg_at_3
|
| 97 |
+
value: 40.38
|
| 98 |
+
- type: ndcg_at_5
|
| 99 |
+
value: 46.364
|
| 100 |
+
- type: precision_at_1
|
| 101 |
+
value: 27.311999999999998
|
| 102 |
+
- type: precision_at_10
|
| 103 |
+
value: 8.193
|
| 104 |
+
- type: precision_at_100
|
| 105 |
+
value: 0.985
|
| 106 |
+
- type: precision_at_1000
|
| 107 |
+
value: 0.1
|
| 108 |
+
- type: precision_at_3
|
| 109 |
+
value: 16.643
|
| 110 |
+
- type: precision_at_5
|
| 111 |
+
value: 12.902
|
| 112 |
+
- type: recall_at_1
|
| 113 |
+
value: 27.311999999999998
|
| 114 |
+
- type: recall_at_10
|
| 115 |
+
value: 81.935
|
| 116 |
+
- type: recall_at_100
|
| 117 |
+
value: 98.506
|
| 118 |
+
- type: recall_at_1000
|
| 119 |
+
value: 99.644
|
| 120 |
+
- type: recall_at_3
|
| 121 |
+
value: 49.929
|
| 122 |
+
- type: recall_at_5
|
| 123 |
+
value: 64.509
|
| 124 |
+
- task:
|
| 125 |
+
type: Clustering
|
| 126 |
+
dataset:
|
| 127 |
+
type: mteb/arxiv-clustering-p2p
|
| 128 |
+
name: MTEB ArxivClusteringP2P
|
| 129 |
+
config: default
|
| 130 |
+
split: test
|
| 131 |
+
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 132 |
+
metrics:
|
| 133 |
+
- type: v_measure
|
| 134 |
+
value: 43.04296157693406
|
| 135 |
+
- task:
|
| 136 |
+
type: Clustering
|
| 137 |
+
dataset:
|
| 138 |
+
type: mteb/arxiv-clustering-s2s
|
| 139 |
+
name: MTEB ArxivClusteringS2S
|
| 140 |
+
config: default
|
| 141 |
+
split: test
|
| 142 |
+
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 143 |
+
metrics:
|
| 144 |
+
- type: v_measure
|
| 145 |
+
value: 32.376069442373264
|
| 146 |
+
- task:
|
| 147 |
+
type: Reranking
|
| 148 |
+
dataset:
|
| 149 |
+
type: mteb/askubuntudupquestions-reranking
|
| 150 |
+
name: MTEB AskUbuntuDupQuestions
|
| 151 |
+
config: default
|
| 152 |
+
split: test
|
| 153 |
+
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 154 |
+
metrics:
|
| 155 |
+
- type: map
|
| 156 |
+
value: 61.05081337796836
|
| 157 |
+
- type: mrr
|
| 158 |
+
value: 73.87218045112782
|
| 159 |
+
- task:
|
| 160 |
+
type: STS
|
| 161 |
+
dataset:
|
| 162 |
+
type: mteb/biosses-sts
|
| 163 |
+
name: MTEB BIOSSES
|
| 164 |
+
config: default
|
| 165 |
+
split: test
|
| 166 |
+
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 167 |
+
metrics:
|
| 168 |
+
- type: cos_sim_pearson
|
| 169 |
+
value: 80.06754584325645
|
| 170 |
+
- type: cos_sim_spearman
|
| 171 |
+
value: 75.31798123153732
|
| 172 |
+
- type: euclidean_pearson
|
| 173 |
+
value: 77.70453914618555
|
| 174 |
+
- type: euclidean_spearman
|
| 175 |
+
value: 74.07578425253767
|
| 176 |
+
- type: manhattan_pearson
|
| 177 |
+
value: 77.18020595680719
|
| 178 |
+
- type: manhattan_spearman
|
| 179 |
+
value: 74.10590542079663
|
| 180 |
+
- task:
|
| 181 |
+
type: Classification
|
| 182 |
+
dataset:
|
| 183 |
+
type: mteb/banking77
|
| 184 |
+
name: MTEB Banking77Classification
|
| 185 |
+
config: default
|
| 186 |
+
split: test
|
| 187 |
+
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
|
| 188 |
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metrics:
|
| 189 |
+
- type: accuracy
|
| 190 |
+
value: 82.73051948051948
|
| 191 |
+
- type: f1
|
| 192 |
+
value: 82.61992011434658
|
| 193 |
+
- task:
|
| 194 |
+
type: Clustering
|
| 195 |
+
dataset:
|
| 196 |
+
type: mteb/biorxiv-clustering-p2p
|
| 197 |
+
name: MTEB BiorxivClusteringP2P
|
| 198 |
+
config: default
|
| 199 |
+
split: test
|
| 200 |
+
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
|
| 201 |
+
metrics:
|
| 202 |
+
- type: v_measure
|
| 203 |
+
value: 37.35544823305565
|
| 204 |
+
- task:
|
| 205 |
+
type: Clustering
|
| 206 |
+
dataset:
|
| 207 |
+
type: mteb/biorxiv-clustering-s2s
|
| 208 |
+
name: MTEB BiorxivClusteringS2S
|
| 209 |
+
config: default
|
| 210 |
+
split: test
|
| 211 |
+
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
|
| 212 |
+
metrics:
|
| 213 |
+
- type: v_measure
|
| 214 |
+
value: 29.97526476348527
|
| 215 |
+
- task:
|
| 216 |
+
type: Retrieval
|
| 217 |
+
dataset:
|
| 218 |
+
type: BeIR/cqadupstack
|
| 219 |
+
name: MTEB CQADupstackAndroidRetrieval
|
| 220 |
+
config: default
|
| 221 |
+
split: test
|
| 222 |
+
revision: None
|
| 223 |
+
metrics:
|
| 224 |
+
- type: map_at_1
|
| 225 |
+
value: 28.016999999999996
|
| 226 |
+
- type: map_at_10
|
| 227 |
+
value: 39.519999999999996
|
| 228 |
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- type: map_at_100
|
| 229 |
+
value: 40.987
|
| 230 |
+
- type: map_at_1000
|
| 231 |
+
value: 41.124
|
| 232 |
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- type: map_at_3
|
| 233 |
+
value: 36.120000000000005
|
| 234 |
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- type: map_at_5
|
| 235 |
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value: 38.071
|
| 236 |
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- type: mrr_at_1
|
| 237 |
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value: 35.05
|
| 238 |
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- type: mrr_at_10
|
| 239 |
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value: 45.589
|
| 240 |
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- type: mrr_at_100
|
| 241 |
+
value: 46.322
|
| 242 |
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- type: mrr_at_1000
|
| 243 |
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value: 46.366
|
| 244 |
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- type: mrr_at_3
|
| 245 |
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value: 43.108999999999995
|
| 246 |
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- type: mrr_at_5
|
| 247 |
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value: 44.754
|
| 248 |
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- type: ndcg_at_1
|
| 249 |
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value: 35.05
|
| 250 |
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- type: ndcg_at_10
|
| 251 |
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value: 46.119
|
| 252 |
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- type: ndcg_at_100
|
| 253 |
+
value: 51.512
|
| 254 |
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- type: ndcg_at_1000
|
| 255 |
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value: 53.471000000000004
|
| 256 |
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- type: ndcg_at_3
|
| 257 |
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value: 41.3
|
| 258 |
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- type: ndcg_at_5
|
| 259 |
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value: 43.657000000000004
|
| 260 |
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- type: precision_at_1
|
| 261 |
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value: 35.05
|
| 262 |
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- type: precision_at_10
|
| 263 |
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value: 9.156
|
| 264 |
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- type: precision_at_100
|
| 265 |
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value: 1.516
|
| 266 |
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- type: precision_at_1000
|
| 267 |
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value: 0.201
|
| 268 |
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- type: precision_at_3
|
| 269 |
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value: 20.552999999999997
|
| 270 |
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- type: precision_at_5
|
| 271 |
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value: 14.793000000000001
|
| 272 |
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- type: recall_at_1
|
| 273 |
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value: 28.016999999999996
|
| 274 |
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- type: recall_at_10
|
| 275 |
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value: 58.4
|
| 276 |
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- type: recall_at_100
|
| 277 |
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value: 81.67699999999999
|
| 278 |
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- type: recall_at_1000
|
| 279 |
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value: 94.119
|
| 280 |
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- type: recall_at_3
|
| 281 |
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value: 44.293
|
| 282 |
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- type: recall_at_5
|
| 283 |
+
value: 51.056000000000004
|
| 284 |
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- task:
|
| 285 |
+
type: Retrieval
|
| 286 |
+
dataset:
|
| 287 |
+
type: BeIR/cqadupstack
|
| 288 |
+
name: MTEB CQADupstackEnglishRetrieval
|
| 289 |
+
config: default
|
| 290 |
+
split: test
|
| 291 |
+
revision: None
|
| 292 |
+
metrics:
|
| 293 |
+
- type: map_at_1
|
| 294 |
+
value: 23.46
|
| 295 |
+
- type: map_at_10
|
| 296 |
+
value: 33.194
|
| 297 |
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- type: map_at_100
|
| 298 |
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value: 34.367999999999995
|
| 299 |
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- type: map_at_1000
|
| 300 |
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value: 34.514
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| 301 |
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- type: map_at_3
|
| 302 |
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value: 30.134
|
| 303 |
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- type: map_at_5
|
| 304 |
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value: 31.796999999999997
|
| 305 |
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- type: mrr_at_1
|
| 306 |
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value: 29.744999999999997
|
| 307 |
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- type: mrr_at_10
|
| 308 |
+
value: 38.213
|
| 309 |
+
- type: mrr_at_100
|
| 310 |
+
value: 38.942
|
| 311 |
+
- type: mrr_at_1000
|
| 312 |
+
value: 38.992
|
| 313 |
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- type: mrr_at_3
|
| 314 |
+
value: 35.435
|
| 315 |
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- type: mrr_at_5
|
| 316 |
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value: 37.053000000000004
|
| 317 |
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- type: ndcg_at_1
|
| 318 |
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value: 29.744999999999997
|
| 319 |
+
- type: ndcg_at_10
|
| 320 |
+
value: 38.868
|
| 321 |
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- type: ndcg_at_100
|
| 322 |
+
value: 43.562
|
| 323 |
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- type: ndcg_at_1000
|
| 324 |
+
value: 46.035
|
| 325 |
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- type: ndcg_at_3
|
| 326 |
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value: 33.93
|
| 327 |
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- type: ndcg_at_5
|
| 328 |
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value: 36.175000000000004
|
| 329 |
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- type: precision_at_1
|
| 330 |
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value: 29.744999999999997
|
| 331 |
+
- type: precision_at_10
|
| 332 |
+
value: 7.605
|
| 333 |
+
- type: precision_at_100
|
| 334 |
+
value: 1.291
|
| 335 |
+
- type: precision_at_1000
|
| 336 |
+
value: 0.185
|
| 337 |
+
- type: precision_at_3
|
| 338 |
+
value: 16.582
|
| 339 |
+
- type: precision_at_5
|
| 340 |
+
value: 12.051
|
| 341 |
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- type: recall_at_1
|
| 342 |
+
value: 23.46
|
| 343 |
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- type: recall_at_10
|
| 344 |
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value: 50.080000000000005
|
| 345 |
+
- type: recall_at_100
|
| 346 |
+
value: 70.161
|
| 347 |
+
- type: recall_at_1000
|
| 348 |
+
value: 86.009
|
| 349 |
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- type: recall_at_3
|
| 350 |
+
value: 36.229
|
| 351 |
+
- type: recall_at_5
|
| 352 |
+
value: 42.055
|
| 353 |
+
- task:
|
| 354 |
+
type: Retrieval
|
| 355 |
+
dataset:
|
| 356 |
+
type: BeIR/cqadupstack
|
| 357 |
+
name: MTEB CQADupstackGamingRetrieval
|
| 358 |
+
config: default
|
| 359 |
+
split: test
|
| 360 |
+
revision: None
|
| 361 |
+
metrics:
|
| 362 |
+
- type: map_at_1
|
| 363 |
+
value: 35.515
|
| 364 |
+
- type: map_at_10
|
| 365 |
+
value: 47.028999999999996
|
| 366 |
+
- type: map_at_100
|
| 367 |
+
value: 48.104
|
| 368 |
+
- type: map_at_1000
|
| 369 |
+
value: 48.171
|
| 370 |
+
- type: map_at_3
|
| 371 |
+
value: 44.224000000000004
|
| 372 |
+
- type: map_at_5
|
| 373 |
+
value: 45.795
|
| 374 |
+
- type: mrr_at_1
|
| 375 |
+
value: 40.627
|
| 376 |
+
- type: mrr_at_10
|
| 377 |
+
value: 50.251000000000005
|
| 378 |
+
- type: mrr_at_100
|
| 379 |
+
value: 51.001
|
| 380 |
+
- type: mrr_at_1000
|
| 381 |
+
value: 51.035
|
| 382 |
+
- type: mrr_at_3
|
| 383 |
+
value: 48.046
|
| 384 |
+
- type: mrr_at_5
|
| 385 |
+
value: 49.262
|
| 386 |
+
- type: ndcg_at_1
|
| 387 |
+
value: 40.627
|
| 388 |
+
- type: ndcg_at_10
|
| 389 |
+
value: 52.5
|
| 390 |
+
- type: ndcg_at_100
|
| 391 |
+
value: 56.967999999999996
|
| 392 |
+
- type: ndcg_at_1000
|
| 393 |
+
value: 58.414
|
| 394 |
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- type: ndcg_at_3
|
| 395 |
+
value: 47.725
|
| 396 |
+
- type: ndcg_at_5
|
| 397 |
+
value: 49.932
|
| 398 |
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- type: precision_at_1
|
| 399 |
+
value: 40.627
|
| 400 |
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- type: precision_at_10
|
| 401 |
+
value: 8.464
|
| 402 |
+
- type: precision_at_100
|
| 403 |
+
value: 1.17
|
| 404 |
+
- type: precision_at_1000
|
| 405 |
+
value: 0.135
|
| 406 |
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- type: precision_at_3
|
| 407 |
+
value: 21.526
|
| 408 |
+
- type: precision_at_5
|
| 409 |
+
value: 14.545
|
| 410 |
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- type: recall_at_1
|
| 411 |
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value: 35.515
|
| 412 |
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- type: recall_at_10
|
| 413 |
+
value: 65.436
|
| 414 |
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- type: recall_at_100
|
| 415 |
+
value: 85.06
|
| 416 |
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- type: recall_at_1000
|
| 417 |
+
value: 95.50999999999999
|
| 418 |
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- type: recall_at_3
|
| 419 |
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value: 52.339
|
| 420 |
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- type: recall_at_5
|
| 421 |
+
value: 57.894999999999996
|
| 422 |
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- task:
|
| 423 |
+
type: Retrieval
|
| 424 |
+
dataset:
|
| 425 |
+
type: BeIR/cqadupstack
|
| 426 |
+
name: MTEB CQADupstackGisRetrieval
|
| 427 |
+
config: default
|
| 428 |
+
split: test
|
| 429 |
+
revision: None
|
| 430 |
+
metrics:
|
| 431 |
+
- type: map_at_1
|
| 432 |
+
value: 19.75
|
| 433 |
+
- type: map_at_10
|
| 434 |
+
value: 27.639999999999997
|
| 435 |
+
- type: map_at_100
|
| 436 |
+
value: 28.612
|
| 437 |
+
- type: map_at_1000
|
| 438 |
+
value: 28.716
|
| 439 |
+
- type: map_at_3
|
| 440 |
+
value: 25.186999999999998
|
| 441 |
+
- type: map_at_5
|
| 442 |
+
value: 26.558999999999997
|
| 443 |
+
- type: mrr_at_1
|
| 444 |
+
value: 21.582
|
| 445 |
+
- type: mrr_at_10
|
| 446 |
+
value: 29.637999999999998
|
| 447 |
+
- type: mrr_at_100
|
| 448 |
+
value: 30.514000000000003
|
| 449 |
+
- type: mrr_at_1000
|
| 450 |
+
value: 30.592999999999996
|
| 451 |
+
- type: mrr_at_3
|
| 452 |
+
value: 27.326
|
| 453 |
+
- type: mrr_at_5
|
| 454 |
+
value: 28.58
|
| 455 |
+
- type: ndcg_at_1
|
| 456 |
+
value: 21.582
|
| 457 |
+
- type: ndcg_at_10
|
| 458 |
+
value: 32.301
|
| 459 |
+
- type: ndcg_at_100
|
| 460 |
+
value: 37.217
|
| 461 |
+
- type: ndcg_at_1000
|
| 462 |
+
value: 39.951
|
| 463 |
+
- type: ndcg_at_3
|
| 464 |
+
value: 27.483999999999998
|
| 465 |
+
- type: ndcg_at_5
|
| 466 |
+
value: 29.754
|
| 467 |
+
- type: precision_at_1
|
| 468 |
+
value: 21.582
|
| 469 |
+
- type: precision_at_10
|
| 470 |
+
value: 5.175
|
| 471 |
+
- type: precision_at_100
|
| 472 |
+
value: 0.803
|
| 473 |
+
- type: precision_at_1000
|
| 474 |
+
value: 0.108
|
| 475 |
+
- type: precision_at_3
|
| 476 |
+
value: 11.940000000000001
|
| 477 |
+
- type: precision_at_5
|
| 478 |
+
value: 8.52
|
| 479 |
+
- type: recall_at_1
|
| 480 |
+
value: 19.75
|
| 481 |
+
- type: recall_at_10
|
| 482 |
+
value: 44.783
|
| 483 |
+
- type: recall_at_100
|
| 484 |
+
value: 67.673
|
| 485 |
+
- type: recall_at_1000
|
| 486 |
+
value: 88.676
|
| 487 |
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- type: recall_at_3
|
| 488 |
+
value: 31.740000000000002
|
| 489 |
+
- type: recall_at_5
|
| 490 |
+
value: 37.128
|
| 491 |
+
- task:
|
| 492 |
+
type: Retrieval
|
| 493 |
+
dataset:
|
| 494 |
+
type: BeIR/cqadupstack
|
| 495 |
+
name: MTEB CQADupstackMathematicaRetrieval
|
| 496 |
+
config: default
|
| 497 |
+
split: test
|
| 498 |
+
revision: None
|
| 499 |
+
metrics:
|
| 500 |
+
- type: map_at_1
|
| 501 |
+
value: 11.791
|
| 502 |
+
- type: map_at_10
|
| 503 |
+
value: 18.782
|
| 504 |
+
- type: map_at_100
|
| 505 |
+
value: 19.939
|
| 506 |
+
- type: map_at_1000
|
| 507 |
+
value: 20.083000000000002
|
| 508 |
+
- type: map_at_3
|
| 509 |
+
value: 16.564
|
| 510 |
+
- type: map_at_5
|
| 511 |
+
value: 17.592
|
| 512 |
+
- type: mrr_at_1
|
| 513 |
+
value: 15.174000000000001
|
| 514 |
+
- type: mrr_at_10
|
| 515 |
+
value: 22.448999999999998
|
| 516 |
+
- type: mrr_at_100
|
| 517 |
+
value: 23.430999999999997
|
| 518 |
+
- type: mrr_at_1000
|
| 519 |
+
value: 23.521
|
| 520 |
+
- type: mrr_at_3
|
| 521 |
+
value: 20.025000000000002
|
| 522 |
+
- type: mrr_at_5
|
| 523 |
+
value: 21.238
|
| 524 |
+
- type: ndcg_at_1
|
| 525 |
+
value: 15.174000000000001
|
| 526 |
+
- type: ndcg_at_10
|
| 527 |
+
value: 23.411
|
| 528 |
+
- type: ndcg_at_100
|
| 529 |
+
value: 29.365999999999996
|
| 530 |
+
- type: ndcg_at_1000
|
| 531 |
+
value: 32.893
|
| 532 |
+
- type: ndcg_at_3
|
| 533 |
+
value: 18.999
|
| 534 |
+
- type: ndcg_at_5
|
| 535 |
+
value: 20.721
|
| 536 |
+
- type: precision_at_1
|
| 537 |
+
value: 15.174000000000001
|
| 538 |
+
- type: precision_at_10
|
| 539 |
+
value: 4.714
|
| 540 |
+
- type: precision_at_100
|
| 541 |
+
value: 0.903
|
| 542 |
+
- type: precision_at_1000
|
| 543 |
+
value: 0.134
|
| 544 |
+
- type: precision_at_3
|
| 545 |
+
value: 9.494
|
| 546 |
+
- type: precision_at_5
|
| 547 |
+
value: 6.94
|
| 548 |
+
- type: recall_at_1
|
| 549 |
+
value: 11.791
|
| 550 |
+
- type: recall_at_10
|
| 551 |
+
value: 33.986
|
| 552 |
+
- type: recall_at_100
|
| 553 |
+
value: 60.833999999999996
|
| 554 |
+
- type: recall_at_1000
|
| 555 |
+
value: 86.291
|
| 556 |
+
- type: recall_at_3
|
| 557 |
+
value: 21.983
|
| 558 |
+
- type: recall_at_5
|
| 559 |
+
value: 26.313
|
| 560 |
+
- task:
|
| 561 |
+
type: Retrieval
|
| 562 |
+
dataset:
|
| 563 |
+
type: BeIR/cqadupstack
|
| 564 |
+
name: MTEB CQADupstackPhysicsRetrieval
|
| 565 |
+
config: default
|
| 566 |
+
split: test
|
| 567 |
+
revision: None
|
| 568 |
+
metrics:
|
| 569 |
+
- type: map_at_1
|
| 570 |
+
value: 25.041999999999998
|
| 571 |
+
- type: map_at_10
|
| 572 |
+
value: 35.61
|
| 573 |
+
- type: map_at_100
|
| 574 |
+
value: 37.002
|
| 575 |
+
- type: map_at_1000
|
| 576 |
+
value: 37.120999999999995
|
| 577 |
+
- type: map_at_3
|
| 578 |
+
value: 31.982
|
| 579 |
+
- type: map_at_5
|
| 580 |
+
value: 34.007
|
| 581 |
+
- type: mrr_at_1
|
| 582 |
+
value: 30.895
|
| 583 |
+
- type: mrr_at_10
|
| 584 |
+
value: 41.095
|
| 585 |
+
- type: mrr_at_100
|
| 586 |
+
value: 41.983
|
| 587 |
+
- type: mrr_at_1000
|
| 588 |
+
value: 42.031
|
| 589 |
+
- type: mrr_at_3
|
| 590 |
+
value: 38.114
|
| 591 |
+
- type: mrr_at_5
|
| 592 |
+
value: 39.798
|
| 593 |
+
- type: ndcg_at_1
|
| 594 |
+
value: 30.895
|
| 595 |
+
- type: ndcg_at_10
|
| 596 |
+
value: 42.138999999999996
|
| 597 |
+
- type: ndcg_at_100
|
| 598 |
+
value: 47.741
|
| 599 |
+
- type: ndcg_at_1000
|
| 600 |
+
value: 49.931
|
| 601 |
+
- type: ndcg_at_3
|
| 602 |
+
value: 36.179
|
| 603 |
+
- type: ndcg_at_5
|
| 604 |
+
value: 38.998
|
| 605 |
+
- type: precision_at_1
|
| 606 |
+
value: 30.895
|
| 607 |
+
- type: precision_at_10
|
| 608 |
+
value: 8.065
|
| 609 |
+
- type: precision_at_100
|
| 610 |
+
value: 1.274
|
| 611 |
+
- type: precision_at_1000
|
| 612 |
+
value: 0.165
|
| 613 |
+
- type: precision_at_3
|
| 614 |
+
value: 17.645
|
| 615 |
+
- type: precision_at_5
|
| 616 |
+
value: 12.955
|
| 617 |
+
- type: recall_at_1
|
| 618 |
+
value: 25.041999999999998
|
| 619 |
+
- type: recall_at_10
|
| 620 |
+
value: 56.169999999999995
|
| 621 |
+
- type: recall_at_100
|
| 622 |
+
value: 79.3
|
| 623 |
+
- type: recall_at_1000
|
| 624 |
+
value: 93.618
|
| 625 |
+
- type: recall_at_3
|
| 626 |
+
value: 39.359
|
| 627 |
+
- type: recall_at_5
|
| 628 |
+
value: 46.650000000000006
|
| 629 |
+
- task:
|
| 630 |
+
type: Retrieval
|
| 631 |
+
dataset:
|
| 632 |
+
type: BeIR/cqadupstack
|
| 633 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
| 634 |
+
config: default
|
| 635 |
+
split: test
|
| 636 |
+
revision: None
|
| 637 |
+
metrics:
|
| 638 |
+
- type: map_at_1
|
| 639 |
+
value: 23.854
|
| 640 |
+
- type: map_at_10
|
| 641 |
+
value: 32.088
|
| 642 |
+
- type: map_at_100
|
| 643 |
+
value: 33.511
|
| 644 |
+
- type: map_at_1000
|
| 645 |
+
value: 33.629999999999995
|
| 646 |
+
- type: map_at_3
|
| 647 |
+
value: 29.079
|
| 648 |
+
- type: map_at_5
|
| 649 |
+
value: 30.663
|
| 650 |
+
- type: mrr_at_1
|
| 651 |
+
value: 29.110000000000003
|
| 652 |
+
- type: mrr_at_10
|
| 653 |
+
value: 36.902
|
| 654 |
+
- type: mrr_at_100
|
| 655 |
+
value: 37.927
|
| 656 |
+
- type: mrr_at_1000
|
| 657 |
+
value: 37.99
|
| 658 |
+
- type: mrr_at_3
|
| 659 |
+
value: 34.285
|
| 660 |
+
- type: mrr_at_5
|
| 661 |
+
value: 35.757
|
| 662 |
+
- type: ndcg_at_1
|
| 663 |
+
value: 29.110000000000003
|
| 664 |
+
- type: ndcg_at_10
|
| 665 |
+
value: 37.429
|
| 666 |
+
- type: ndcg_at_100
|
| 667 |
+
value: 43.59
|
| 668 |
+
- type: ndcg_at_1000
|
| 669 |
+
value: 46.207
|
| 670 |
+
- type: ndcg_at_3
|
| 671 |
+
value: 32.394
|
| 672 |
+
- type: ndcg_at_5
|
| 673 |
+
value: 34.562
|
| 674 |
+
- type: precision_at_1
|
| 675 |
+
value: 29.110000000000003
|
| 676 |
+
- type: precision_at_10
|
| 677 |
+
value: 6.895
|
| 678 |
+
- type: precision_at_100
|
| 679 |
+
value: 1.176
|
| 680 |
+
- type: precision_at_1000
|
| 681 |
+
value: 0.158
|
| 682 |
+
- type: precision_at_3
|
| 683 |
+
value: 15.107000000000001
|
| 684 |
+
- type: precision_at_5
|
| 685 |
+
value: 10.982
|
| 686 |
+
- type: recall_at_1
|
| 687 |
+
value: 23.854
|
| 688 |
+
- type: recall_at_10
|
| 689 |
+
value: 48.589
|
| 690 |
+
- type: recall_at_100
|
| 691 |
+
value: 74.78
|
| 692 |
+
- type: recall_at_1000
|
| 693 |
+
value: 92.836
|
| 694 |
+
- type: recall_at_3
|
| 695 |
+
value: 34.489
|
| 696 |
+
- type: recall_at_5
|
| 697 |
+
value: 40.182
|
| 698 |
+
- task:
|
| 699 |
+
type: Retrieval
|
| 700 |
+
dataset:
|
| 701 |
+
type: BeIR/cqadupstack
|
| 702 |
+
name: MTEB CQADupstackStatsRetrieval
|
| 703 |
+
config: default
|
| 704 |
+
split: test
|
| 705 |
+
revision: None
|
| 706 |
+
metrics:
|
| 707 |
+
- type: map_at_1
|
| 708 |
+
value: 19.293
|
| 709 |
+
- type: map_at_10
|
| 710 |
+
value: 25.316
|
| 711 |
+
- type: map_at_100
|
| 712 |
+
value: 26.211000000000002
|
| 713 |
+
- type: map_at_1000
|
| 714 |
+
value: 26.316
|
| 715 |
+
- type: map_at_3
|
| 716 |
+
value: 23.200000000000003
|
| 717 |
+
- type: map_at_5
|
| 718 |
+
value: 24.538
|
| 719 |
+
- type: mrr_at_1
|
| 720 |
+
value: 21.471999999999998
|
| 721 |
+
- type: mrr_at_10
|
| 722 |
+
value: 27.583000000000002
|
| 723 |
+
- type: mrr_at_100
|
| 724 |
+
value: 28.371000000000002
|
| 725 |
+
- type: mrr_at_1000
|
| 726 |
+
value: 28.455000000000002
|
| 727 |
+
- type: mrr_at_3
|
| 728 |
+
value: 25.613000000000003
|
| 729 |
+
- type: mrr_at_5
|
| 730 |
+
value: 26.863
|
| 731 |
+
- type: ndcg_at_1
|
| 732 |
+
value: 21.471999999999998
|
| 733 |
+
- type: ndcg_at_10
|
| 734 |
+
value: 28.925
|
| 735 |
+
- type: ndcg_at_100
|
| 736 |
+
value: 33.489000000000004
|
| 737 |
+
- type: ndcg_at_1000
|
| 738 |
+
value: 36.313
|
| 739 |
+
- type: ndcg_at_3
|
| 740 |
+
value: 25.003999999999998
|
| 741 |
+
- type: ndcg_at_5
|
| 742 |
+
value: 27.232
|
| 743 |
+
- type: precision_at_1
|
| 744 |
+
value: 21.471999999999998
|
| 745 |
+
- type: precision_at_10
|
| 746 |
+
value: 4.693
|
| 747 |
+
- type: precision_at_100
|
| 748 |
+
value: 0.762
|
| 749 |
+
- type: precision_at_1000
|
| 750 |
+
value: 0.108
|
| 751 |
+
- type: precision_at_3
|
| 752 |
+
value: 10.838000000000001
|
| 753 |
+
- type: precision_at_5
|
| 754 |
+
value: 7.945
|
| 755 |
+
- type: recall_at_1
|
| 756 |
+
value: 19.293
|
| 757 |
+
- type: recall_at_10
|
| 758 |
+
value: 37.63
|
| 759 |
+
- type: recall_at_100
|
| 760 |
+
value: 58.818000000000005
|
| 761 |
+
- type: recall_at_1000
|
| 762 |
+
value: 80.026
|
| 763 |
+
- type: recall_at_3
|
| 764 |
+
value: 27.389000000000003
|
| 765 |
+
- type: recall_at_5
|
| 766 |
+
value: 32.71
|
| 767 |
+
- task:
|
| 768 |
+
type: Retrieval
|
| 769 |
+
dataset:
|
| 770 |
+
type: BeIR/cqadupstack
|
| 771 |
+
name: MTEB CQADupstackTexRetrieval
|
| 772 |
+
config: default
|
| 773 |
+
split: test
|
| 774 |
+
revision: None
|
| 775 |
+
metrics:
|
| 776 |
+
- type: map_at_1
|
| 777 |
+
value: 12.087
|
| 778 |
+
- type: map_at_10
|
| 779 |
+
value: 17.777
|
| 780 |
+
- type: map_at_100
|
| 781 |
+
value: 18.837
|
| 782 |
+
- type: map_at_1000
|
| 783 |
+
value: 18.973000000000003
|
| 784 |
+
- type: map_at_3
|
| 785 |
+
value: 15.956999999999999
|
| 786 |
+
- type: map_at_5
|
| 787 |
+
value: 16.902
|
| 788 |
+
- type: mrr_at_1
|
| 789 |
+
value: 14.763000000000002
|
| 790 |
+
- type: mrr_at_10
|
| 791 |
+
value: 20.8
|
| 792 |
+
- type: mrr_at_100
|
| 793 |
+
value: 21.757
|
| 794 |
+
- type: mrr_at_1000
|
| 795 |
+
value: 21.85
|
| 796 |
+
- type: mrr_at_3
|
| 797 |
+
value: 18.989
|
| 798 |
+
- type: mrr_at_5
|
| 799 |
+
value: 19.905
|
| 800 |
+
- type: ndcg_at_1
|
| 801 |
+
value: 14.763000000000002
|
| 802 |
+
- type: ndcg_at_10
|
| 803 |
+
value: 21.512999999999998
|
| 804 |
+
- type: ndcg_at_100
|
| 805 |
+
value: 26.822000000000003
|
| 806 |
+
- type: ndcg_at_1000
|
| 807 |
+
value: 30.270999999999997
|
| 808 |
+
- type: ndcg_at_3
|
| 809 |
+
value: 18.16
|
| 810 |
+
- type: ndcg_at_5
|
| 811 |
+
value: 19.573999999999998
|
| 812 |
+
- type: precision_at_1
|
| 813 |
+
value: 14.763000000000002
|
| 814 |
+
- type: precision_at_10
|
| 815 |
+
value: 4.043
|
| 816 |
+
- type: precision_at_100
|
| 817 |
+
value: 0.7979999999999999
|
| 818 |
+
- type: precision_at_1000
|
| 819 |
+
value: 0.128
|
| 820 |
+
- type: precision_at_3
|
| 821 |
+
value: 8.741
|
| 822 |
+
- type: precision_at_5
|
| 823 |
+
value: 6.325
|
| 824 |
+
- type: recall_at_1
|
| 825 |
+
value: 12.087
|
| 826 |
+
- type: recall_at_10
|
| 827 |
+
value: 29.805
|
| 828 |
+
- type: recall_at_100
|
| 829 |
+
value: 53.787
|
| 830 |
+
- type: recall_at_1000
|
| 831 |
+
value: 78.884
|
| 832 |
+
- type: recall_at_3
|
| 833 |
+
value: 20.497
|
| 834 |
+
- type: recall_at_5
|
| 835 |
+
value: 24.148
|
| 836 |
+
- task:
|
| 837 |
+
type: Retrieval
|
| 838 |
+
dataset:
|
| 839 |
+
type: BeIR/cqadupstack
|
| 840 |
+
name: MTEB CQADupstackUnixRetrieval
|
| 841 |
+
config: default
|
| 842 |
+
split: test
|
| 843 |
+
revision: None
|
| 844 |
+
metrics:
|
| 845 |
+
- type: map_at_1
|
| 846 |
+
value: 22.099
|
| 847 |
+
- type: map_at_10
|
| 848 |
+
value: 29.487999999999996
|
| 849 |
+
- type: map_at_100
|
| 850 |
+
value: 30.553
|
| 851 |
+
- type: map_at_1000
|
| 852 |
+
value: 30.669999999999998
|
| 853 |
+
- type: map_at_3
|
| 854 |
+
value: 27.250000000000004
|
| 855 |
+
- type: map_at_5
|
| 856 |
+
value: 28.416000000000004
|
| 857 |
+
- type: mrr_at_1
|
| 858 |
+
value: 26.026
|
| 859 |
+
- type: mrr_at_10
|
| 860 |
+
value: 33.238
|
| 861 |
+
- type: mrr_at_100
|
| 862 |
+
value: 34.114
|
| 863 |
+
- type: mrr_at_1000
|
| 864 |
+
value: 34.188
|
| 865 |
+
- type: mrr_at_3
|
| 866 |
+
value: 31.157
|
| 867 |
+
- type: mrr_at_5
|
| 868 |
+
value: 32.262
|
| 869 |
+
- type: ndcg_at_1
|
| 870 |
+
value: 26.026
|
| 871 |
+
- type: ndcg_at_10
|
| 872 |
+
value: 34.036
|
| 873 |
+
- type: ndcg_at_100
|
| 874 |
+
value: 39.443
|
| 875 |
+
- type: ndcg_at_1000
|
| 876 |
+
value: 42.181999999999995
|
| 877 |
+
- type: ndcg_at_3
|
| 878 |
+
value: 29.942
|
| 879 |
+
- type: ndcg_at_5
|
| 880 |
+
value: 31.682
|
| 881 |
+
- type: precision_at_1
|
| 882 |
+
value: 26.026
|
| 883 |
+
- type: precision_at_10
|
| 884 |
+
value: 5.7090000000000005
|
| 885 |
+
- type: precision_at_100
|
| 886 |
+
value: 0.9560000000000001
|
| 887 |
+
- type: precision_at_1000
|
| 888 |
+
value: 0.131
|
| 889 |
+
- type: precision_at_3
|
| 890 |
+
value: 13.495
|
| 891 |
+
- type: precision_at_5
|
| 892 |
+
value: 9.366
|
| 893 |
+
- type: recall_at_1
|
| 894 |
+
value: 22.099
|
| 895 |
+
- type: recall_at_10
|
| 896 |
+
value: 44.098
|
| 897 |
+
- type: recall_at_100
|
| 898 |
+
value: 68.726
|
| 899 |
+
- type: recall_at_1000
|
| 900 |
+
value: 87.992
|
| 901 |
+
- type: recall_at_3
|
| 902 |
+
value: 32.902
|
| 903 |
+
- type: recall_at_5
|
| 904 |
+
value: 37.389
|
| 905 |
+
- task:
|
| 906 |
+
type: Retrieval
|
| 907 |
+
dataset:
|
| 908 |
+
type: BeIR/cqadupstack
|
| 909 |
+
name: MTEB CQADupstackWebmastersRetrieval
|
| 910 |
+
config: default
|
| 911 |
+
split: test
|
| 912 |
+
revision: None
|
| 913 |
+
metrics:
|
| 914 |
+
- type: map_at_1
|
| 915 |
+
value: 19.195
|
| 916 |
+
- type: map_at_10
|
| 917 |
+
value: 27.298000000000002
|
| 918 |
+
- type: map_at_100
|
| 919 |
+
value: 28.875
|
| 920 |
+
- type: map_at_1000
|
| 921 |
+
value: 29.151
|
| 922 |
+
- type: map_at_3
|
| 923 |
+
value: 24.595
|
| 924 |
+
- type: map_at_5
|
| 925 |
+
value: 25.926
|
| 926 |
+
- type: mrr_at_1
|
| 927 |
+
value: 23.913
|
| 928 |
+
- type: mrr_at_10
|
| 929 |
+
value: 31.696999999999996
|
| 930 |
+
- type: mrr_at_100
|
| 931 |
+
value: 32.728
|
| 932 |
+
- type: mrr_at_1000
|
| 933 |
+
value: 32.808
|
| 934 |
+
- type: mrr_at_3
|
| 935 |
+
value: 29.249000000000002
|
| 936 |
+
- type: mrr_at_5
|
| 937 |
+
value: 30.623
|
| 938 |
+
- type: ndcg_at_1
|
| 939 |
+
value: 23.913
|
| 940 |
+
- type: ndcg_at_10
|
| 941 |
+
value: 32.745999999999995
|
| 942 |
+
- type: ndcg_at_100
|
| 943 |
+
value: 38.663
|
| 944 |
+
- type: ndcg_at_1000
|
| 945 |
+
value: 41.984
|
| 946 |
+
- type: ndcg_at_3
|
| 947 |
+
value: 28.272000000000002
|
| 948 |
+
- type: ndcg_at_5
|
| 949 |
+
value: 30.184
|
| 950 |
+
- type: precision_at_1
|
| 951 |
+
value: 23.913
|
| 952 |
+
- type: precision_at_10
|
| 953 |
+
value: 6.601
|
| 954 |
+
- type: precision_at_100
|
| 955 |
+
value: 1.462
|
| 956 |
+
- type: precision_at_1000
|
| 957 |
+
value: 0.241
|
| 958 |
+
- type: precision_at_3
|
| 959 |
+
value: 13.439
|
| 960 |
+
- type: precision_at_5
|
| 961 |
+
value: 10.079
|
| 962 |
+
- type: recall_at_1
|
| 963 |
+
value: 19.195
|
| 964 |
+
- type: recall_at_10
|
| 965 |
+
value: 42.933
|
| 966 |
+
- type: recall_at_100
|
| 967 |
+
value: 69.762
|
| 968 |
+
- type: recall_at_1000
|
| 969 |
+
value: 91.57
|
| 970 |
+
- type: recall_at_3
|
| 971 |
+
value: 30.302
|
| 972 |
+
- type: recall_at_5
|
| 973 |
+
value: 35.17
|
| 974 |
+
- task:
|
| 975 |
+
type: Retrieval
|
| 976 |
+
dataset:
|
| 977 |
+
type: BeIR/cqadupstack
|
| 978 |
+
name: MTEB CQADupstackWordpressRetrieval
|
| 979 |
+
config: default
|
| 980 |
+
split: test
|
| 981 |
+
revision: None
|
| 982 |
+
metrics:
|
| 983 |
+
- type: map_at_1
|
| 984 |
+
value: 13.816999999999998
|
| 985 |
+
- type: map_at_10
|
| 986 |
+
value: 19.314
|
| 987 |
+
- type: map_at_100
|
| 988 |
+
value: 20.328
|
| 989 |
+
- type: map_at_1000
|
| 990 |
+
value: 20.439
|
| 991 |
+
- type: map_at_3
|
| 992 |
+
value: 16.658
|
| 993 |
+
- type: map_at_5
|
| 994 |
+
value: 18.169
|
| 995 |
+
- type: mrr_at_1
|
| 996 |
+
value: 15.342
|
| 997 |
+
- type: mrr_at_10
|
| 998 |
+
value: 21.098
|
| 999 |
+
- type: mrr_at_100
|
| 1000 |
+
value: 22.031
|
| 1001 |
+
- type: mrr_at_1000
|
| 1002 |
+
value: 22.126
|
| 1003 |
+
- type: mrr_at_3
|
| 1004 |
+
value: 18.453
|
| 1005 |
+
- type: mrr_at_5
|
| 1006 |
+
value: 19.923
|
| 1007 |
+
- type: ndcg_at_1
|
| 1008 |
+
value: 15.342
|
| 1009 |
+
- type: ndcg_at_10
|
| 1010 |
+
value: 23.558
|
| 1011 |
+
- type: ndcg_at_100
|
| 1012 |
+
value: 28.889
|
| 1013 |
+
- type: ndcg_at_1000
|
| 1014 |
+
value: 31.89
|
| 1015 |
+
- type: ndcg_at_3
|
| 1016 |
+
value: 18.186
|
| 1017 |
+
- type: ndcg_at_5
|
| 1018 |
+
value: 20.751
|
| 1019 |
+
- type: precision_at_1
|
| 1020 |
+
value: 15.342
|
| 1021 |
+
- type: precision_at_10
|
| 1022 |
+
value: 4.011
|
| 1023 |
+
- type: precision_at_100
|
| 1024 |
+
value: 0.749
|
| 1025 |
+
- type: precision_at_1000
|
| 1026 |
+
value: 0.109
|
| 1027 |
+
- type: precision_at_3
|
| 1028 |
+
value: 7.763000000000001
|
| 1029 |
+
- type: precision_at_5
|
| 1030 |
+
value: 6.026
|
| 1031 |
+
- type: recall_at_1
|
| 1032 |
+
value: 13.816999999999998
|
| 1033 |
+
- type: recall_at_10
|
| 1034 |
+
value: 35.459
|
| 1035 |
+
- type: recall_at_100
|
| 1036 |
+
value: 60.612
|
| 1037 |
+
- type: recall_at_1000
|
| 1038 |
+
value: 83.174
|
| 1039 |
+
- type: recall_at_3
|
| 1040 |
+
value: 20.601
|
| 1041 |
+
- type: recall_at_5
|
| 1042 |
+
value: 26.83
|
| 1043 |
+
- task:
|
| 1044 |
+
type: Retrieval
|
| 1045 |
+
dataset:
|
| 1046 |
+
type: climate-fever
|
| 1047 |
+
name: MTEB ClimateFEVER
|
| 1048 |
+
config: default
|
| 1049 |
+
split: test
|
| 1050 |
+
revision: None
|
| 1051 |
+
metrics:
|
| 1052 |
+
- type: map_at_1
|
| 1053 |
+
value: 8.770999999999999
|
| 1054 |
+
- type: map_at_10
|
| 1055 |
+
value: 14.948
|
| 1056 |
+
- type: map_at_100
|
| 1057 |
+
value: 16.668
|
| 1058 |
+
- type: map_at_1000
|
| 1059 |
+
value: 16.865
|
| 1060 |
+
- type: map_at_3
|
| 1061 |
+
value: 12.264
|
| 1062 |
+
- type: map_at_5
|
| 1063 |
+
value: 13.623
|
| 1064 |
+
- type: mrr_at_1
|
| 1065 |
+
value: 18.502
|
| 1066 |
+
- type: mrr_at_10
|
| 1067 |
+
value: 28.782000000000004
|
| 1068 |
+
- type: mrr_at_100
|
| 1069 |
+
value: 29.875
|
| 1070 |
+
- type: mrr_at_1000
|
| 1071 |
+
value: 29.929
|
| 1072 |
+
- type: mrr_at_3
|
| 1073 |
+
value: 25.147000000000002
|
| 1074 |
+
- type: mrr_at_5
|
| 1075 |
+
value: 27.322000000000003
|
| 1076 |
+
- type: ndcg_at_1
|
| 1077 |
+
value: 18.502
|
| 1078 |
+
- type: ndcg_at_10
|
| 1079 |
+
value: 21.815
|
| 1080 |
+
- type: ndcg_at_100
|
| 1081 |
+
value: 29.174
|
| 1082 |
+
- type: ndcg_at_1000
|
| 1083 |
+
value: 32.946999999999996
|
| 1084 |
+
- type: ndcg_at_3
|
| 1085 |
+
value: 16.833000000000002
|
| 1086 |
+
- type: ndcg_at_5
|
| 1087 |
+
value: 18.792
|
| 1088 |
+
- type: precision_at_1
|
| 1089 |
+
value: 18.502
|
| 1090 |
+
- type: precision_at_10
|
| 1091 |
+
value: 7.016
|
| 1092 |
+
- type: precision_at_100
|
| 1093 |
+
value: 1.486
|
| 1094 |
+
- type: precision_at_1000
|
| 1095 |
+
value: 0.219
|
| 1096 |
+
- type: precision_at_3
|
| 1097 |
+
value: 12.421
|
| 1098 |
+
- type: precision_at_5
|
| 1099 |
+
value: 10.15
|
| 1100 |
+
- type: recall_at_1
|
| 1101 |
+
value: 8.770999999999999
|
| 1102 |
+
- type: recall_at_10
|
| 1103 |
+
value: 27.542
|
| 1104 |
+
- type: recall_at_100
|
| 1105 |
+
value: 53.481
|
| 1106 |
+
- type: recall_at_1000
|
| 1107 |
+
value: 74.67399999999999
|
| 1108 |
+
- type: recall_at_3
|
| 1109 |
+
value: 15.986
|
| 1110 |
+
- type: recall_at_5
|
| 1111 |
+
value: 20.669
|
| 1112 |
+
- task:
|
| 1113 |
+
type: Retrieval
|
| 1114 |
+
dataset:
|
| 1115 |
+
type: dbpedia-entity
|
| 1116 |
+
name: MTEB DBPedia
|
| 1117 |
+
config: default
|
| 1118 |
+
split: test
|
| 1119 |
+
revision: None
|
| 1120 |
+
metrics:
|
| 1121 |
+
- type: map_at_1
|
| 1122 |
+
value: 6.0249999999999995
|
| 1123 |
+
- type: map_at_10
|
| 1124 |
+
value: 11.924
|
| 1125 |
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- type: map_at_100
|
| 1126 |
+
value: 15.801000000000002
|
| 1127 |
+
- type: map_at_1000
|
| 1128 |
+
value: 16.878999999999998
|
| 1129 |
+
- type: map_at_3
|
| 1130 |
+
value: 9.031
|
| 1131 |
+
- type: map_at_5
|
| 1132 |
+
value: 10.181
|
| 1133 |
+
- type: mrr_at_1
|
| 1134 |
+
value: 48.0
|
| 1135 |
+
- type: mrr_at_10
|
| 1136 |
+
value: 56.928
|
| 1137 |
+
- type: mrr_at_100
|
| 1138 |
+
value: 57.619
|
| 1139 |
+
- type: mrr_at_1000
|
| 1140 |
+
value: 57.646
|
| 1141 |
+
- type: mrr_at_3
|
| 1142 |
+
value: 55.25
|
| 1143 |
+
- type: mrr_at_5
|
| 1144 |
+
value: 55.974999999999994
|
| 1145 |
+
- type: ndcg_at_1
|
| 1146 |
+
value: 36.875
|
| 1147 |
+
- type: ndcg_at_10
|
| 1148 |
+
value: 26.508
|
| 1149 |
+
- type: ndcg_at_100
|
| 1150 |
+
value: 29.692
|
| 1151 |
+
- type: ndcg_at_1000
|
| 1152 |
+
value: 36.658
|
| 1153 |
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- type: ndcg_at_3
|
| 1154 |
+
value: 30.764000000000003
|
| 1155 |
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- type: ndcg_at_5
|
| 1156 |
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value: 28.049000000000003
|
| 1157 |
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- type: precision_at_1
|
| 1158 |
+
value: 48.0
|
| 1159 |
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- type: precision_at_10
|
| 1160 |
+
value: 21.175
|
| 1161 |
+
- type: precision_at_100
|
| 1162 |
+
value: 6.535
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| 1163 |
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- type: precision_at_1000
|
| 1164 |
+
value: 1.6230000000000002
|
| 1165 |
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- type: precision_at_3
|
| 1166 |
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value: 34.75
|
| 1167 |
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- type: precision_at_5
|
| 1168 |
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value: 27.700000000000003
|
| 1169 |
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- type: recall_at_1
|
| 1170 |
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value: 6.0249999999999995
|
| 1171 |
+
- type: recall_at_10
|
| 1172 |
+
value: 16.454
|
| 1173 |
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- type: recall_at_100
|
| 1174 |
+
value: 35.026
|
| 1175 |
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- type: recall_at_1000
|
| 1176 |
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value: 58.031
|
| 1177 |
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- type: recall_at_3
|
| 1178 |
+
value: 10.058
|
| 1179 |
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- type: recall_at_5
|
| 1180 |
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value: 12.145999999999999
|
| 1181 |
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- task:
|
| 1182 |
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type: Classification
|
| 1183 |
+
dataset:
|
| 1184 |
+
type: mteb/emotion
|
| 1185 |
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name: MTEB EmotionClassification
|
| 1186 |
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config: default
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| 1187 |
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split: test
|
| 1188 |
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revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 1189 |
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metrics:
|
| 1190 |
+
- type: accuracy
|
| 1191 |
+
value: 43.470000000000006
|
| 1192 |
+
- type: f1
|
| 1193 |
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value: 39.27142511079909
|
| 1194 |
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- task:
|
| 1195 |
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type: Retrieval
|
| 1196 |
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dataset:
|
| 1197 |
+
type: fiqa
|
| 1198 |
+
name: MTEB FiQA2018
|
| 1199 |
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config: default
|
| 1200 |
+
split: test
|
| 1201 |
+
revision: None
|
| 1202 |
+
metrics:
|
| 1203 |
+
- type: map_at_1
|
| 1204 |
+
value: 14.071
|
| 1205 |
+
- type: map_at_10
|
| 1206 |
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value: 23.455000000000002
|
| 1207 |
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- type: map_at_100
|
| 1208 |
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value: 25.358999999999998
|
| 1209 |
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- type: map_at_1000
|
| 1210 |
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value: 25.55
|
| 1211 |
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- type: map_at_3
|
| 1212 |
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value: 20.164
|
| 1213 |
+
- type: map_at_5
|
| 1214 |
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value: 21.654999999999998
|
| 1215 |
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- type: mrr_at_1
|
| 1216 |
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value: 28.395
|
| 1217 |
+
- type: mrr_at_10
|
| 1218 |
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value: 37.21
|
| 1219 |
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- type: mrr_at_100
|
| 1220 |
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value: 38.086999999999996
|
| 1221 |
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- type: mrr_at_1000
|
| 1222 |
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value: 38.145
|
| 1223 |
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- type: mrr_at_3
|
| 1224 |
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value: 34.336
|
| 1225 |
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- type: mrr_at_5
|
| 1226 |
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value: 35.795
|
| 1227 |
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- type: ndcg_at_1
|
| 1228 |
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value: 28.395
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| 1229 |
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- type: ndcg_at_10
|
| 1230 |
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value: 30.595
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| 1231 |
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- type: ndcg_at_100
|
| 1232 |
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value: 37.885000000000005
|
| 1233 |
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- type: ndcg_at_1000
|
| 1234 |
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value: 41.55
|
| 1235 |
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- type: ndcg_at_3
|
| 1236 |
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value: 26.858999999999998
|
| 1237 |
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- type: ndcg_at_5
|
| 1238 |
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value: 27.528999999999996
|
| 1239 |
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- type: precision_at_1
|
| 1240 |
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value: 28.395
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| 1241 |
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- type: precision_at_10
|
| 1242 |
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value: 8.92
|
| 1243 |
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- type: precision_at_100
|
| 1244 |
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value: 1.6389999999999998
|
| 1245 |
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- type: precision_at_1000
|
| 1246 |
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value: 0.22999999999999998
|
| 1247 |
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- type: precision_at_3
|
| 1248 |
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value: 18.004
|
| 1249 |
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- type: precision_at_5
|
| 1250 |
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value: 13.302
|
| 1251 |
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- type: recall_at_1
|
| 1252 |
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value: 14.071
|
| 1253 |
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- type: recall_at_10
|
| 1254 |
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value: 37.635000000000005
|
| 1255 |
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- type: recall_at_100
|
| 1256 |
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value: 65.18599999999999
|
| 1257 |
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- type: recall_at_1000
|
| 1258 |
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value: 87.58399999999999
|
| 1259 |
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- type: recall_at_3
|
| 1260 |
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value: 24.490000000000002
|
| 1261 |
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- type: recall_at_5
|
| 1262 |
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value: 28.621999999999996
|
| 1263 |
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- task:
|
| 1264 |
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type: Classification
|
| 1265 |
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dataset:
|
| 1266 |
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type: mteb/imdb
|
| 1267 |
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name: MTEB ImdbClassification
|
| 1268 |
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config: default
|
| 1269 |
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split: test
|
| 1270 |
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revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
|
| 1271 |
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metrics:
|
| 1272 |
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- type: accuracy
|
| 1273 |
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value: 67.2992
|
| 1274 |
+
- type: ap
|
| 1275 |
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value: 61.82215741645874
|
| 1276 |
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- type: f1
|
| 1277 |
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value: 67.04790333380426
|
| 1278 |
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- task:
|
| 1279 |
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type: Classification
|
| 1280 |
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dataset:
|
| 1281 |
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type: mteb/mtop_domain
|
| 1282 |
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name: MTEB MTOPDomainClassification (en)
|
| 1283 |
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config: en
|
| 1284 |
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split: test
|
| 1285 |
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revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 1286 |
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metrics:
|
| 1287 |
+
- type: accuracy
|
| 1288 |
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value: 91.81714546283631
|
| 1289 |
+
- type: f1
|
| 1290 |
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value: 91.67516531750526
|
| 1291 |
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- task:
|
| 1292 |
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type: Classification
|
| 1293 |
+
dataset:
|
| 1294 |
+
type: mteb/mtop_intent
|
| 1295 |
+
name: MTEB MTOPIntentClassification (en)
|
| 1296 |
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config: en
|
| 1297 |
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split: test
|
| 1298 |
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revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 1299 |
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metrics:
|
| 1300 |
+
- type: accuracy
|
| 1301 |
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value: 74.69904240766073
|
| 1302 |
+
- type: f1
|
| 1303 |
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value: 57.9559746458099
|
| 1304 |
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- task:
|
| 1305 |
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type: Classification
|
| 1306 |
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dataset:
|
| 1307 |
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type: mteb/amazon_massive_intent
|
| 1308 |
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name: MTEB MassiveIntentClassification (en)
|
| 1309 |
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config: en
|
| 1310 |
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split: test
|
| 1311 |
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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
|
| 1312 |
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metrics:
|
| 1313 |
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- type: accuracy
|
| 1314 |
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value: 71.76866173503699
|
| 1315 |
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- type: f1
|
| 1316 |
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value: 69.95643410077002
|
| 1317 |
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- task:
|
| 1318 |
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type: Classification
|
| 1319 |
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dataset:
|
| 1320 |
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type: mteb/amazon_massive_scenario
|
| 1321 |
+
name: MTEB MassiveScenarioClassification (en)
|
| 1322 |
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config: en
|
| 1323 |
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split: test
|
| 1324 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 1325 |
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metrics:
|
| 1326 |
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- type: accuracy
|
| 1327 |
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value: 77.85137861466038
|
| 1328 |
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- type: f1
|
| 1329 |
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value: 77.66496420028315
|
| 1330 |
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- task:
|
| 1331 |
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type: Clustering
|
| 1332 |
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dataset:
|
| 1333 |
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type: mteb/medrxiv-clustering-p2p
|
| 1334 |
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name: MTEB MedrxivClusteringP2P
|
| 1335 |
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config: default
|
| 1336 |
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split: test
|
| 1337 |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 1338 |
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metrics:
|
| 1339 |
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- type: v_measure
|
| 1340 |
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value: 36.5297446116069
|
| 1341 |
+
- task:
|
| 1342 |
+
type: Clustering
|
| 1343 |
+
dataset:
|
| 1344 |
+
type: mteb/medrxiv-clustering-s2s
|
| 1345 |
+
name: MTEB MedrxivClusteringS2S
|
| 1346 |
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config: default
|
| 1347 |
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split: test
|
| 1348 |
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 1349 |
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metrics:
|
| 1350 |
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- type: v_measure
|
| 1351 |
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value: 32.93068854285488
|
| 1352 |
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- task:
|
| 1353 |
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type: Retrieval
|
| 1354 |
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dataset:
|
| 1355 |
+
type: nfcorpus
|
| 1356 |
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name: MTEB NFCorpus
|
| 1357 |
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config: default
|
| 1358 |
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split: test
|
| 1359 |
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revision: None
|
| 1360 |
+
metrics:
|
| 1361 |
+
- type: map_at_1
|
| 1362 |
+
value: 3.005
|
| 1363 |
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- type: map_at_10
|
| 1364 |
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value: 8.125
|
| 1365 |
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- type: map_at_100
|
| 1366 |
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value: 11.439
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| 1367 |
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- type: map_at_1000
|
| 1368 |
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value: 12.908
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| 1369 |
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- type: map_at_3
|
| 1370 |
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value: 5.299
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| 1371 |
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- type: map_at_5
|
| 1372 |
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value: 6.654
|
| 1373 |
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- type: mrr_at_1
|
| 1374 |
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value: 34.365
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| 1375 |
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- type: mrr_at_10
|
| 1376 |
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value: 43.854
|
| 1377 |
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- type: mrr_at_100
|
| 1378 |
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value: 44.643
|
| 1379 |
+
- type: mrr_at_1000
|
| 1380 |
+
value: 44.701
|
| 1381 |
+
- type: mrr_at_3
|
| 1382 |
+
value: 41.589
|
| 1383 |
+
- type: mrr_at_5
|
| 1384 |
+
value: 43.075
|
| 1385 |
+
- type: ndcg_at_1
|
| 1386 |
+
value: 31.889
|
| 1387 |
+
- type: ndcg_at_10
|
| 1388 |
+
value: 26.432
|
| 1389 |
+
- type: ndcg_at_100
|
| 1390 |
+
value: 26.191
|
| 1391 |
+
- type: ndcg_at_1000
|
| 1392 |
+
value: 35.413
|
| 1393 |
+
- type: ndcg_at_3
|
| 1394 |
+
value: 29.625
|
| 1395 |
+
- type: ndcg_at_5
|
| 1396 |
+
value: 28.588
|
| 1397 |
+
- type: precision_at_1
|
| 1398 |
+
value: 33.745999999999995
|
| 1399 |
+
- type: precision_at_10
|
| 1400 |
+
value: 21.146
|
| 1401 |
+
- type: precision_at_100
|
| 1402 |
+
value: 7.736999999999999
|
| 1403 |
+
- type: precision_at_1000
|
| 1404 |
+
value: 2.08
|
| 1405 |
+
- type: precision_at_3
|
| 1406 |
+
value: 29.102
|
| 1407 |
+
- type: precision_at_5
|
| 1408 |
+
value: 26.316
|
| 1409 |
+
- type: recall_at_1
|
| 1410 |
+
value: 3.005
|
| 1411 |
+
- type: recall_at_10
|
| 1412 |
+
value: 12.29
|
| 1413 |
+
- type: recall_at_100
|
| 1414 |
+
value: 30.06
|
| 1415 |
+
- type: recall_at_1000
|
| 1416 |
+
value: 63.148
|
| 1417 |
+
- type: recall_at_3
|
| 1418 |
+
value: 6.587
|
| 1419 |
+
- type: recall_at_5
|
| 1420 |
+
value: 9.095
|
| 1421 |
+
- task:
|
| 1422 |
+
type: Retrieval
|
| 1423 |
+
dataset:
|
| 1424 |
+
type: nq
|
| 1425 |
+
name: MTEB NQ
|
| 1426 |
+
config: default
|
| 1427 |
+
split: test
|
| 1428 |
+
revision: None
|
| 1429 |
+
metrics:
|
| 1430 |
+
- type: map_at_1
|
| 1431 |
+
value: 19.839000000000002
|
| 1432 |
+
- type: map_at_10
|
| 1433 |
+
value: 31.424999999999997
|
| 1434 |
+
- type: map_at_100
|
| 1435 |
+
value: 32.641999999999996
|
| 1436 |
+
- type: map_at_1000
|
| 1437 |
+
value: 32.704
|
| 1438 |
+
- type: map_at_3
|
| 1439 |
+
value: 27.742
|
| 1440 |
+
- type: map_at_5
|
| 1441 |
+
value: 29.854999999999997
|
| 1442 |
+
- type: mrr_at_1
|
| 1443 |
+
value: 22.451
|
| 1444 |
+
- type: mrr_at_10
|
| 1445 |
+
value: 33.632
|
| 1446 |
+
- type: mrr_at_100
|
| 1447 |
+
value: 34.653
|
| 1448 |
+
- type: mrr_at_1000
|
| 1449 |
+
value: 34.699000000000005
|
| 1450 |
+
- type: mrr_at_3
|
| 1451 |
+
value: 30.427
|
| 1452 |
+
- type: mrr_at_5
|
| 1453 |
+
value: 32.263
|
| 1454 |
+
- type: ndcg_at_1
|
| 1455 |
+
value: 22.422
|
| 1456 |
+
- type: ndcg_at_10
|
| 1457 |
+
value: 37.929
|
| 1458 |
+
- type: ndcg_at_100
|
| 1459 |
+
value: 43.667
|
| 1460 |
+
- type: ndcg_at_1000
|
| 1461 |
+
value: 45.231
|
| 1462 |
+
- type: ndcg_at_3
|
| 1463 |
+
value: 30.814999999999998
|
| 1464 |
+
- type: ndcg_at_5
|
| 1465 |
+
value: 34.379
|
| 1466 |
+
- type: precision_at_1
|
| 1467 |
+
value: 22.422
|
| 1468 |
+
- type: precision_at_10
|
| 1469 |
+
value: 6.59
|
| 1470 |
+
- type: precision_at_100
|
| 1471 |
+
value: 0.9860000000000001
|
| 1472 |
+
- type: precision_at_1000
|
| 1473 |
+
value: 0.11399999999999999
|
| 1474 |
+
- type: precision_at_3
|
| 1475 |
+
value: 14.301
|
| 1476 |
+
- type: precision_at_5
|
| 1477 |
+
value: 10.626
|
| 1478 |
+
- type: recall_at_1
|
| 1479 |
+
value: 19.839000000000002
|
| 1480 |
+
- type: recall_at_10
|
| 1481 |
+
value: 55.769999999999996
|
| 1482 |
+
- type: recall_at_100
|
| 1483 |
+
value: 81.733
|
| 1484 |
+
- type: recall_at_1000
|
| 1485 |
+
value: 93.559
|
| 1486 |
+
- type: recall_at_3
|
| 1487 |
+
value: 37.078
|
| 1488 |
+
- type: recall_at_5
|
| 1489 |
+
value: 45.318999999999996
|
| 1490 |
+
- task:
|
| 1491 |
+
type: Retrieval
|
| 1492 |
+
dataset:
|
| 1493 |
+
type: quora
|
| 1494 |
+
name: MTEB QuoraRetrieval
|
| 1495 |
+
config: default
|
| 1496 |
+
split: test
|
| 1497 |
+
revision: None
|
| 1498 |
+
metrics:
|
| 1499 |
+
- type: map_at_1
|
| 1500 |
+
value: 67.534
|
| 1501 |
+
- type: map_at_10
|
| 1502 |
+
value: 81.447
|
| 1503 |
+
- type: map_at_100
|
| 1504 |
+
value: 82.15299999999999
|
| 1505 |
+
- type: map_at_1000
|
| 1506 |
+
value: 82.172
|
| 1507 |
+
- type: map_at_3
|
| 1508 |
+
value: 78.408
|
| 1509 |
+
- type: map_at_5
|
| 1510 |
+
value: 80.264
|
| 1511 |
+
- type: mrr_at_1
|
| 1512 |
+
value: 77.75999999999999
|
| 1513 |
+
- type: mrr_at_10
|
| 1514 |
+
value: 84.602
|
| 1515 |
+
- type: mrr_at_100
|
| 1516 |
+
value: 84.762
|
| 1517 |
+
- type: mrr_at_1000
|
| 1518 |
+
value: 84.764
|
| 1519 |
+
- type: mrr_at_3
|
| 1520 |
+
value: 83.488
|
| 1521 |
+
- type: mrr_at_5
|
| 1522 |
+
value: 84.21600000000001
|
| 1523 |
+
- type: ndcg_at_1
|
| 1524 |
+
value: 77.79
|
| 1525 |
+
- type: ndcg_at_10
|
| 1526 |
+
value: 85.55199999999999
|
| 1527 |
+
- type: ndcg_at_100
|
| 1528 |
+
value: 87.104
|
| 1529 |
+
- type: ndcg_at_1000
|
| 1530 |
+
value: 87.259
|
| 1531 |
+
- type: ndcg_at_3
|
| 1532 |
+
value: 82.396
|
| 1533 |
+
- type: ndcg_at_5
|
| 1534 |
+
value: 84.065
|
| 1535 |
+
- type: precision_at_1
|
| 1536 |
+
value: 77.79
|
| 1537 |
+
- type: precision_at_10
|
| 1538 |
+
value: 13.103000000000002
|
| 1539 |
+
- type: precision_at_100
|
| 1540 |
+
value: 1.5190000000000001
|
| 1541 |
+
- type: precision_at_1000
|
| 1542 |
+
value: 0.156
|
| 1543 |
+
- type: precision_at_3
|
| 1544 |
+
value: 36.153
|
| 1545 |
+
- type: precision_at_5
|
| 1546 |
+
value: 23.854
|
| 1547 |
+
- type: recall_at_1
|
| 1548 |
+
value: 67.534
|
| 1549 |
+
- type: recall_at_10
|
| 1550 |
+
value: 93.57
|
| 1551 |
+
- type: recall_at_100
|
| 1552 |
+
value: 99.10799999999999
|
| 1553 |
+
- type: recall_at_1000
|
| 1554 |
+
value: 99.911
|
| 1555 |
+
- type: recall_at_3
|
| 1556 |
+
value: 84.565
|
| 1557 |
+
- type: recall_at_5
|
| 1558 |
+
value: 89.242
|
| 1559 |
+
- task:
|
| 1560 |
+
type: Clustering
|
| 1561 |
+
dataset:
|
| 1562 |
+
type: mteb/reddit-clustering
|
| 1563 |
+
name: MTEB RedditClustering
|
| 1564 |
+
config: default
|
| 1565 |
+
split: test
|
| 1566 |
+
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 1567 |
+
metrics:
|
| 1568 |
+
- type: v_measure
|
| 1569 |
+
value: 50.692859418431055
|
| 1570 |
+
- task:
|
| 1571 |
+
type: Clustering
|
| 1572 |
+
dataset:
|
| 1573 |
+
type: mteb/reddit-clustering-p2p
|
| 1574 |
+
name: MTEB RedditClusteringP2P
|
| 1575 |
+
config: default
|
| 1576 |
+
split: test
|
| 1577 |
+
revision: 282350215ef01743dc01b456c7f5241fa8937f16
|
| 1578 |
+
metrics:
|
| 1579 |
+
- type: v_measure
|
| 1580 |
+
value: 54.60918566392905
|
| 1581 |
+
- task:
|
| 1582 |
+
type: Retrieval
|
| 1583 |
+
dataset:
|
| 1584 |
+
type: scidocs
|
| 1585 |
+
name: MTEB SCIDOCS
|
| 1586 |
+
config: default
|
| 1587 |
+
split: test
|
| 1588 |
+
revision: None
|
| 1589 |
+
metrics:
|
| 1590 |
+
- type: map_at_1
|
| 1591 |
+
value: 3.723
|
| 1592 |
+
- type: map_at_10
|
| 1593 |
+
value: 9.524000000000001
|
| 1594 |
+
- type: map_at_100
|
| 1595 |
+
value: 11.407
|
| 1596 |
+
- type: map_at_1000
|
| 1597 |
+
value: 11.721
|
| 1598 |
+
- type: map_at_3
|
| 1599 |
+
value: 6.678000000000001
|
| 1600 |
+
- type: map_at_5
|
| 1601 |
+
value: 7.881
|
| 1602 |
+
- type: mrr_at_1
|
| 1603 |
+
value: 18.2
|
| 1604 |
+
- type: mrr_at_10
|
| 1605 |
+
value: 28.349999999999998
|
| 1606 |
+
- type: mrr_at_100
|
| 1607 |
+
value: 29.528
|
| 1608 |
+
- type: mrr_at_1000
|
| 1609 |
+
value: 29.601
|
| 1610 |
+
- type: mrr_at_3
|
| 1611 |
+
value: 25.15
|
| 1612 |
+
- type: mrr_at_5
|
| 1613 |
+
value: 26.765
|
| 1614 |
+
- type: ndcg_at_1
|
| 1615 |
+
value: 18.2
|
| 1616 |
+
- type: ndcg_at_10
|
| 1617 |
+
value: 16.603
|
| 1618 |
+
- type: ndcg_at_100
|
| 1619 |
+
value: 24.331
|
| 1620 |
+
- type: ndcg_at_1000
|
| 1621 |
+
value: 30.086000000000002
|
| 1622 |
+
- type: ndcg_at_3
|
| 1623 |
+
value: 15.151
|
| 1624 |
+
- type: ndcg_at_5
|
| 1625 |
+
value: 13.199
|
| 1626 |
+
- type: precision_at_1
|
| 1627 |
+
value: 18.2
|
| 1628 |
+
- type: precision_at_10
|
| 1629 |
+
value: 8.86
|
| 1630 |
+
- type: precision_at_100
|
| 1631 |
+
value: 2.012
|
| 1632 |
+
- type: precision_at_1000
|
| 1633 |
+
value: 0.33999999999999997
|
| 1634 |
+
- type: precision_at_3
|
| 1635 |
+
value: 14.2
|
| 1636 |
+
- type: precision_at_5
|
| 1637 |
+
value: 11.559999999999999
|
| 1638 |
+
- type: recall_at_1
|
| 1639 |
+
value: 3.723
|
| 1640 |
+
- type: recall_at_10
|
| 1641 |
+
value: 17.965
|
| 1642 |
+
- type: recall_at_100
|
| 1643 |
+
value: 40.803
|
| 1644 |
+
- type: recall_at_1000
|
| 1645 |
+
value: 69.053
|
| 1646 |
+
- type: recall_at_3
|
| 1647 |
+
value: 8.633000000000001
|
| 1648 |
+
- type: recall_at_5
|
| 1649 |
+
value: 11.722000000000001
|
| 1650 |
+
- task:
|
| 1651 |
+
type: STS
|
| 1652 |
+
dataset:
|
| 1653 |
+
type: mteb/sickr-sts
|
| 1654 |
+
name: MTEB SICK-R
|
| 1655 |
+
config: default
|
| 1656 |
+
split: test
|
| 1657 |
+
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
|
| 1658 |
+
metrics:
|
| 1659 |
+
- type: cos_sim_pearson
|
| 1660 |
+
value: 85.92797781212799
|
| 1661 |
+
- type: cos_sim_spearman
|
| 1662 |
+
value: 80.91206843308156
|
| 1663 |
+
- type: euclidean_pearson
|
| 1664 |
+
value: 83.13392453336924
|
| 1665 |
+
- type: euclidean_spearman
|
| 1666 |
+
value: 80.80408822887594
|
| 1667 |
+
- type: manhattan_pearson
|
| 1668 |
+
value: 83.02335189403584
|
| 1669 |
+
- type: manhattan_spearman
|
| 1670 |
+
value: 80.79923937077382
|
| 1671 |
+
- task:
|
| 1672 |
+
type: STS
|
| 1673 |
+
dataset:
|
| 1674 |
+
type: mteb/sts12-sts
|
| 1675 |
+
name: MTEB STS12
|
| 1676 |
+
config: default
|
| 1677 |
+
split: test
|
| 1678 |
+
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 1679 |
+
metrics:
|
| 1680 |
+
- type: cos_sim_pearson
|
| 1681 |
+
value: 85.4017983656709
|
| 1682 |
+
- type: cos_sim_spearman
|
| 1683 |
+
value: 76.97735367672956
|
| 1684 |
+
- type: euclidean_pearson
|
| 1685 |
+
value: 81.7824234578701
|
| 1686 |
+
- type: euclidean_spearman
|
| 1687 |
+
value: 75.28260048723786
|
| 1688 |
+
- type: manhattan_pearson
|
| 1689 |
+
value: 81.38214845806081
|
| 1690 |
+
- type: manhattan_spearman
|
| 1691 |
+
value: 74.96457943242224
|
| 1692 |
+
- task:
|
| 1693 |
+
type: STS
|
| 1694 |
+
dataset:
|
| 1695 |
+
type: mteb/sts13-sts
|
| 1696 |
+
name: MTEB STS13
|
| 1697 |
+
config: default
|
| 1698 |
+
split: test
|
| 1699 |
+
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 1700 |
+
metrics:
|
| 1701 |
+
- type: cos_sim_pearson
|
| 1702 |
+
value: 81.38943576368895
|
| 1703 |
+
- type: cos_sim_spearman
|
| 1704 |
+
value: 82.62953855483207
|
| 1705 |
+
- type: euclidean_pearson
|
| 1706 |
+
value: 82.44174445208601
|
| 1707 |
+
- type: euclidean_spearman
|
| 1708 |
+
value: 82.82393564259752
|
| 1709 |
+
- type: manhattan_pearson
|
| 1710 |
+
value: 82.0592576486719
|
| 1711 |
+
- type: manhattan_spearman
|
| 1712 |
+
value: 82.44019945976245
|
| 1713 |
+
- task:
|
| 1714 |
+
type: STS
|
| 1715 |
+
dataset:
|
| 1716 |
+
type: mteb/sts14-sts
|
| 1717 |
+
name: MTEB STS14
|
| 1718 |
+
config: default
|
| 1719 |
+
split: test
|
| 1720 |
+
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 1721 |
+
metrics:
|
| 1722 |
+
- type: cos_sim_pearson
|
| 1723 |
+
value: 81.56920926205309
|
| 1724 |
+
- type: cos_sim_spearman
|
| 1725 |
+
value: 77.83933445496699
|
| 1726 |
+
- type: euclidean_pearson
|
| 1727 |
+
value: 81.34174612772163
|
| 1728 |
+
- type: euclidean_spearman
|
| 1729 |
+
value: 78.05064601571459
|
| 1730 |
+
- type: manhattan_pearson
|
| 1731 |
+
value: 81.17542466190758
|
| 1732 |
+
- type: manhattan_spearman
|
| 1733 |
+
value: 77.89655461392648
|
| 1734 |
+
- task:
|
| 1735 |
+
type: STS
|
| 1736 |
+
dataset:
|
| 1737 |
+
type: mteb/sts15-sts
|
| 1738 |
+
name: MTEB STS15
|
| 1739 |
+
config: default
|
| 1740 |
+
split: test
|
| 1741 |
+
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 1742 |
+
metrics:
|
| 1743 |
+
- type: cos_sim_pearson
|
| 1744 |
+
value: 84.70673349392224
|
| 1745 |
+
- type: cos_sim_spearman
|
| 1746 |
+
value: 85.91810021018937
|
| 1747 |
+
- type: euclidean_pearson
|
| 1748 |
+
value: 85.49668352710347
|
| 1749 |
+
- type: euclidean_spearman
|
| 1750 |
+
value: 86.07561846419777
|
| 1751 |
+
- type: manhattan_pearson
|
| 1752 |
+
value: 85.46112249008104
|
| 1753 |
+
- type: manhattan_spearman
|
| 1754 |
+
value: 86.06360341157644
|
| 1755 |
+
- task:
|
| 1756 |
+
type: STS
|
| 1757 |
+
dataset:
|
| 1758 |
+
type: mteb/sts16-sts
|
| 1759 |
+
name: MTEB STS16
|
| 1760 |
+
config: default
|
| 1761 |
+
split: test
|
| 1762 |
+
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 1763 |
+
metrics:
|
| 1764 |
+
- type: cos_sim_pearson
|
| 1765 |
+
value: 78.57362568259491
|
| 1766 |
+
- type: cos_sim_spearman
|
| 1767 |
+
value: 80.68461073524229
|
| 1768 |
+
- type: euclidean_pearson
|
| 1769 |
+
value: 81.86974763548425
|
| 1770 |
+
- type: euclidean_spearman
|
| 1771 |
+
value: 81.95566663477153
|
| 1772 |
+
- type: manhattan_pearson
|
| 1773 |
+
value: 81.58501328641869
|
| 1774 |
+
- type: manhattan_spearman
|
| 1775 |
+
value: 81.65934245751299
|
| 1776 |
+
- task:
|
| 1777 |
+
type: STS
|
| 1778 |
+
dataset:
|
| 1779 |
+
type: mteb/sts17-crosslingual-sts
|
| 1780 |
+
name: MTEB STS17 (en-en)
|
| 1781 |
+
config: en-en
|
| 1782 |
+
split: test
|
| 1783 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
| 1784 |
+
metrics:
|
| 1785 |
+
- type: cos_sim_pearson
|
| 1786 |
+
value: 89.05177322670748
|
| 1787 |
+
- type: cos_sim_spearman
|
| 1788 |
+
value: 88.99264497015508
|
| 1789 |
+
- type: euclidean_pearson
|
| 1790 |
+
value: 88.6014395983479
|
| 1791 |
+
- type: euclidean_spearman
|
| 1792 |
+
value: 88.417049574577
|
| 1793 |
+
- type: manhattan_pearson
|
| 1794 |
+
value: 88.71275753473458
|
| 1795 |
+
- type: manhattan_spearman
|
| 1796 |
+
value: 88.62174073802386
|
| 1797 |
+
- task:
|
| 1798 |
+
type: STS
|
| 1799 |
+
dataset:
|
| 1800 |
+
type: mteb/sts22-crosslingual-sts
|
| 1801 |
+
name: MTEB STS22 (en)
|
| 1802 |
+
config: en
|
| 1803 |
+
split: test
|
| 1804 |
+
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
|
| 1805 |
+
metrics:
|
| 1806 |
+
- type: cos_sim_pearson
|
| 1807 |
+
value: 65.92377340266665
|
| 1808 |
+
- type: cos_sim_spearman
|
| 1809 |
+
value: 68.25861908141049
|
| 1810 |
+
- type: euclidean_pearson
|
| 1811 |
+
value: 67.74046333852377
|
| 1812 |
+
- type: euclidean_spearman
|
| 1813 |
+
value: 67.74440638624723
|
| 1814 |
+
- type: manhattan_pearson
|
| 1815 |
+
value: 67.72314507899021
|
| 1816 |
+
- type: manhattan_spearman
|
| 1817 |
+
value: 67.58993746063668
|
| 1818 |
+
- task:
|
| 1819 |
+
type: STS
|
| 1820 |
+
dataset:
|
| 1821 |
+
type: mteb/stsbenchmark-sts
|
| 1822 |
+
name: MTEB STSBenchmark
|
| 1823 |
+
config: default
|
| 1824 |
+
split: test
|
| 1825 |
+
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 1826 |
+
metrics:
|
| 1827 |
+
- type: cos_sim_pearson
|
| 1828 |
+
value: 84.01280176574436
|
| 1829 |
+
- type: cos_sim_spearman
|
| 1830 |
+
value: 84.2021805427655
|
| 1831 |
+
- type: euclidean_pearson
|
| 1832 |
+
value: 85.25937079924432
|
| 1833 |
+
- type: euclidean_spearman
|
| 1834 |
+
value: 84.7692260813728
|
| 1835 |
+
- type: manhattan_pearson
|
| 1836 |
+
value: 85.20370061224156
|
| 1837 |
+
- type: manhattan_spearman
|
| 1838 |
+
value: 84.68261435873887
|
| 1839 |
+
- task:
|
| 1840 |
+
type: Reranking
|
| 1841 |
+
dataset:
|
| 1842 |
+
type: mteb/scidocs-reranking
|
| 1843 |
+
name: MTEB SciDocsRR
|
| 1844 |
+
config: default
|
| 1845 |
+
split: test
|
| 1846 |
+
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
| 1847 |
+
metrics:
|
| 1848 |
+
- type: map
|
| 1849 |
+
value: 79.8274674627466
|
| 1850 |
+
- type: mrr
|
| 1851 |
+
value: 93.2766625168586
|
| 1852 |
+
- task:
|
| 1853 |
+
type: Retrieval
|
| 1854 |
+
dataset:
|
| 1855 |
+
type: scifact
|
| 1856 |
+
name: MTEB SciFact
|
| 1857 |
+
config: default
|
| 1858 |
+
split: test
|
| 1859 |
+
revision: None
|
| 1860 |
+
metrics:
|
| 1861 |
+
- type: map_at_1
|
| 1862 |
+
value: 44.917
|
| 1863 |
+
- type: map_at_10
|
| 1864 |
+
value: 54.809
|
| 1865 |
+
- type: map_at_100
|
| 1866 |
+
value: 55.544000000000004
|
| 1867 |
+
- type: map_at_1000
|
| 1868 |
+
value: 55.584999999999994
|
| 1869 |
+
- type: map_at_3
|
| 1870 |
+
value: 51.274
|
| 1871 |
+
- type: map_at_5
|
| 1872 |
+
value: 53.42
|
| 1873 |
+
- type: mrr_at_1
|
| 1874 |
+
value: 47.0
|
| 1875 |
+
- type: mrr_at_10
|
| 1876 |
+
value: 56.00000000000001
|
| 1877 |
+
- type: mrr_at_100
|
| 1878 |
+
value: 56.611
|
| 1879 |
+
- type: mrr_at_1000
|
| 1880 |
+
value: 56.647000000000006
|
| 1881 |
+
- type: mrr_at_3
|
| 1882 |
+
value: 53.166999999999994
|
| 1883 |
+
- type: mrr_at_5
|
| 1884 |
+
value: 54.883
|
| 1885 |
+
- type: ndcg_at_1
|
| 1886 |
+
value: 47.0
|
| 1887 |
+
- type: ndcg_at_10
|
| 1888 |
+
value: 59.948
|
| 1889 |
+
- type: ndcg_at_100
|
| 1890 |
+
value: 63.214999999999996
|
| 1891 |
+
- type: ndcg_at_1000
|
| 1892 |
+
value: 64.331
|
| 1893 |
+
- type: ndcg_at_3
|
| 1894 |
+
value: 53.690000000000005
|
| 1895 |
+
- type: ndcg_at_5
|
| 1896 |
+
value: 56.99999999999999
|
| 1897 |
+
- type: precision_at_1
|
| 1898 |
+
value: 47.0
|
| 1899 |
+
- type: precision_at_10
|
| 1900 |
+
value: 8.433
|
| 1901 |
+
- type: precision_at_100
|
| 1902 |
+
value: 1.0170000000000001
|
| 1903 |
+
- type: precision_at_1000
|
| 1904 |
+
value: 0.11100000000000002
|
| 1905 |
+
- type: precision_at_3
|
| 1906 |
+
value: 21.0
|
| 1907 |
+
- type: precision_at_5
|
| 1908 |
+
value: 14.667
|
| 1909 |
+
- type: recall_at_1
|
| 1910 |
+
value: 44.917
|
| 1911 |
+
- type: recall_at_10
|
| 1912 |
+
value: 74.483
|
| 1913 |
+
- type: recall_at_100
|
| 1914 |
+
value: 89.1
|
| 1915 |
+
- type: recall_at_1000
|
| 1916 |
+
value: 98.0
|
| 1917 |
+
- type: recall_at_3
|
| 1918 |
+
value: 58.15
|
| 1919 |
+
- type: recall_at_5
|
| 1920 |
+
value: 66.033
|
| 1921 |
+
- task:
|
| 1922 |
+
type: PairClassification
|
| 1923 |
+
dataset:
|
| 1924 |
+
type: mteb/sprintduplicatequestions-pairclassification
|
| 1925 |
+
name: MTEB SprintDuplicateQuestions
|
| 1926 |
+
config: default
|
| 1927 |
+
split: test
|
| 1928 |
+
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 1929 |
+
metrics:
|
| 1930 |
+
- type: cos_sim_accuracy
|
| 1931 |
+
value: 99.66534653465347
|
| 1932 |
+
- type: cos_sim_ap
|
| 1933 |
+
value: 90.67883265196161
|
| 1934 |
+
- type: cos_sim_f1
|
| 1935 |
+
value: 82.81327389796928
|
| 1936 |
+
- type: cos_sim_precision
|
| 1937 |
+
value: 82.04121687929342
|
| 1938 |
+
- type: cos_sim_recall
|
| 1939 |
+
value: 83.6
|
| 1940 |
+
- type: dot_accuracy
|
| 1941 |
+
value: 99.6009900990099
|
| 1942 |
+
- type: dot_ap
|
| 1943 |
+
value: 85.37859661864812
|
| 1944 |
+
- type: dot_f1
|
| 1945 |
+
value: 79.68285431119922
|
| 1946 |
+
- type: dot_precision
|
| 1947 |
+
value: 78.97838899803537
|
| 1948 |
+
- type: dot_recall
|
| 1949 |
+
value: 80.4
|
| 1950 |
+
- type: euclidean_accuracy
|
| 1951 |
+
value: 99.66435643564357
|
| 1952 |
+
- type: euclidean_ap
|
| 1953 |
+
value: 90.28983244955693
|
| 1954 |
+
- type: euclidean_f1
|
| 1955 |
+
value: 82.47925817471938
|
| 1956 |
+
- type: euclidean_precision
|
| 1957 |
+
value: 80.55290753098188
|
| 1958 |
+
- type: euclidean_recall
|
| 1959 |
+
value: 84.5
|
| 1960 |
+
- type: manhattan_accuracy
|
| 1961 |
+
value: 99.65247524752475
|
| 1962 |
+
- type: manhattan_ap
|
| 1963 |
+
value: 89.75455639322132
|
| 1964 |
+
- type: manhattan_f1
|
| 1965 |
+
value: 81.63682864450128
|
| 1966 |
+
- type: manhattan_precision
|
| 1967 |
+
value: 83.56020942408377
|
| 1968 |
+
- type: manhattan_recall
|
| 1969 |
+
value: 79.80000000000001
|
| 1970 |
+
- type: max_accuracy
|
| 1971 |
+
value: 99.66534653465347
|
| 1972 |
+
- type: max_ap
|
| 1973 |
+
value: 90.67883265196161
|
| 1974 |
+
- type: max_f1
|
| 1975 |
+
value: 82.81327389796928
|
| 1976 |
+
- task:
|
| 1977 |
+
type: Clustering
|
| 1978 |
+
dataset:
|
| 1979 |
+
type: mteb/stackexchange-clustering
|
| 1980 |
+
name: MTEB StackExchangeClustering
|
| 1981 |
+
config: default
|
| 1982 |
+
split: test
|
| 1983 |
+
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 1984 |
+
metrics:
|
| 1985 |
+
- type: v_measure
|
| 1986 |
+
value: 53.295453205851
|
| 1987 |
+
- task:
|
| 1988 |
+
type: Clustering
|
| 1989 |
+
dataset:
|
| 1990 |
+
type: mteb/stackexchange-clustering-p2p
|
| 1991 |
+
name: MTEB StackExchangeClusteringP2P
|
| 1992 |
+
config: default
|
| 1993 |
+
split: test
|
| 1994 |
+
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 1995 |
+
metrics:
|
| 1996 |
+
- type: v_measure
|
| 1997 |
+
value: 32.64179363201445
|
| 1998 |
+
- task:
|
| 1999 |
+
type: Reranking
|
| 2000 |
+
dataset:
|
| 2001 |
+
type: mteb/stackoverflowdupquestions-reranking
|
| 2002 |
+
name: MTEB StackOverflowDupQuestions
|
| 2003 |
+
config: default
|
| 2004 |
+
split: test
|
| 2005 |
+
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 2006 |
+
metrics:
|
| 2007 |
+
- type: map
|
| 2008 |
+
value: 47.103383708653894
|
| 2009 |
+
- type: mrr
|
| 2010 |
+
value: 47.64253618113912
|
| 2011 |
+
- task:
|
| 2012 |
+
type: Summarization
|
| 2013 |
+
dataset:
|
| 2014 |
+
type: mteb/summeval
|
| 2015 |
+
name: MTEB SummEval
|
| 2016 |
+
config: default
|
| 2017 |
+
split: test
|
| 2018 |
+
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 2019 |
+
metrics:
|
| 2020 |
+
- type: cos_sim_pearson
|
| 2021 |
+
value: 30.794109958863856
|
| 2022 |
+
- type: cos_sim_spearman
|
| 2023 |
+
value: 32.38893238877061
|
| 2024 |
+
- type: dot_pearson
|
| 2025 |
+
value: 25.573206015466006
|
| 2026 |
+
- type: dot_spearman
|
| 2027 |
+
value: 26.69770548172811
|
| 2028 |
+
- task:
|
| 2029 |
+
type: Retrieval
|
| 2030 |
+
dataset:
|
| 2031 |
+
type: trec-covid
|
| 2032 |
+
name: MTEB TRECCOVID
|
| 2033 |
+
config: default
|
| 2034 |
+
split: test
|
| 2035 |
+
revision: None
|
| 2036 |
+
metrics:
|
| 2037 |
+
- type: map_at_1
|
| 2038 |
+
value: 0.159
|
| 2039 |
+
- type: map_at_10
|
| 2040 |
+
value: 0.9979999999999999
|
| 2041 |
+
- type: map_at_100
|
| 2042 |
+
value: 5.806
|
| 2043 |
+
- type: map_at_1000
|
| 2044 |
+
value: 16.575
|
| 2045 |
+
- type: map_at_3
|
| 2046 |
+
value: 0.391
|
| 2047 |
+
- type: map_at_5
|
| 2048 |
+
value: 0.596
|
| 2049 |
+
- type: mrr_at_1
|
| 2050 |
+
value: 56.00000000000001
|
| 2051 |
+
- type: mrr_at_10
|
| 2052 |
+
value: 68.7
|
| 2053 |
+
- type: mrr_at_100
|
| 2054 |
+
value: 68.892
|
| 2055 |
+
- type: mrr_at_1000
|
| 2056 |
+
value: 68.892
|
| 2057 |
+
- type: mrr_at_3
|
| 2058 |
+
value: 65.667
|
| 2059 |
+
- type: mrr_at_5
|
| 2060 |
+
value: 68.367
|
| 2061 |
+
- type: ndcg_at_1
|
| 2062 |
+
value: 51.0
|
| 2063 |
+
- type: ndcg_at_10
|
| 2064 |
+
value: 45.1
|
| 2065 |
+
- type: ndcg_at_100
|
| 2066 |
+
value: 36.834
|
| 2067 |
+
- type: ndcg_at_1000
|
| 2068 |
+
value: 39.329
|
| 2069 |
+
- type: ndcg_at_3
|
| 2070 |
+
value: 49.458
|
| 2071 |
+
- type: ndcg_at_5
|
| 2072 |
+
value: 48.177
|
| 2073 |
+
- type: precision_at_1
|
| 2074 |
+
value: 56.00000000000001
|
| 2075 |
+
- type: precision_at_10
|
| 2076 |
+
value: 47.8
|
| 2077 |
+
- type: precision_at_100
|
| 2078 |
+
value: 38.6
|
| 2079 |
+
- type: precision_at_1000
|
| 2080 |
+
value: 18.285999999999998
|
| 2081 |
+
- type: precision_at_3
|
| 2082 |
+
value: 54.0
|
| 2083 |
+
- type: precision_at_5
|
| 2084 |
+
value: 52.400000000000006
|
| 2085 |
+
- type: recall_at_1
|
| 2086 |
+
value: 0.159
|
| 2087 |
+
- type: recall_at_10
|
| 2088 |
+
value: 1.2510000000000001
|
| 2089 |
+
- type: recall_at_100
|
| 2090 |
+
value: 9.237
|
| 2091 |
+
- type: recall_at_1000
|
| 2092 |
+
value: 38.984
|
| 2093 |
+
- type: recall_at_3
|
| 2094 |
+
value: 0.44
|
| 2095 |
+
- type: recall_at_5
|
| 2096 |
+
value: 0.7080000000000001
|
| 2097 |
+
- task:
|
| 2098 |
+
type: Retrieval
|
| 2099 |
+
dataset:
|
| 2100 |
+
type: webis-touche2020
|
| 2101 |
+
name: MTEB Touche2020
|
| 2102 |
+
config: default
|
| 2103 |
+
split: test
|
| 2104 |
+
revision: None
|
| 2105 |
+
metrics:
|
| 2106 |
+
- type: map_at_1
|
| 2107 |
+
value: 1.6660000000000001
|
| 2108 |
+
- type: map_at_10
|
| 2109 |
+
value: 7.444000000000001
|
| 2110 |
+
- type: map_at_100
|
| 2111 |
+
value: 12.078
|
| 2112 |
+
- type: map_at_1000
|
| 2113 |
+
value: 13.716999999999999
|
| 2114 |
+
- type: map_at_3
|
| 2115 |
+
value: 4.06
|
| 2116 |
+
- type: map_at_5
|
| 2117 |
+
value: 5.172000000000001
|
| 2118 |
+
- type: mrr_at_1
|
| 2119 |
+
value: 20.408
|
| 2120 |
+
- type: mrr_at_10
|
| 2121 |
+
value: 33.547
|
| 2122 |
+
- type: mrr_at_100
|
| 2123 |
+
value: 35.281
|
| 2124 |
+
- type: mrr_at_1000
|
| 2125 |
+
value: 35.289
|
| 2126 |
+
- type: mrr_at_3
|
| 2127 |
+
value: 29.252
|
| 2128 |
+
- type: mrr_at_5
|
| 2129 |
+
value: 31.19
|
| 2130 |
+
- type: ndcg_at_1
|
| 2131 |
+
value: 18.367
|
| 2132 |
+
- type: ndcg_at_10
|
| 2133 |
+
value: 18.848000000000003
|
| 2134 |
+
- type: ndcg_at_100
|
| 2135 |
+
value: 29.938
|
| 2136 |
+
- type: ndcg_at_1000
|
| 2137 |
+
value: 42.792
|
| 2138 |
+
- type: ndcg_at_3
|
| 2139 |
+
value: 20.005
|
| 2140 |
+
- type: ndcg_at_5
|
| 2141 |
+
value: 18.617
|
| 2142 |
+
- type: precision_at_1
|
| 2143 |
+
value: 20.408
|
| 2144 |
+
- type: precision_at_10
|
| 2145 |
+
value: 17.143
|
| 2146 |
+
- type: precision_at_100
|
| 2147 |
+
value: 6.571000000000001
|
| 2148 |
+
- type: precision_at_1000
|
| 2149 |
+
value: 1.492
|
| 2150 |
+
- type: precision_at_3
|
| 2151 |
+
value: 21.088
|
| 2152 |
+
- type: precision_at_5
|
| 2153 |
+
value: 18.776
|
| 2154 |
+
- type: recall_at_1
|
| 2155 |
+
value: 1.6660000000000001
|
| 2156 |
+
- type: recall_at_10
|
| 2157 |
+
value: 12.736
|
| 2158 |
+
- type: recall_at_100
|
| 2159 |
+
value: 41.485
|
| 2160 |
+
- type: recall_at_1000
|
| 2161 |
+
value: 80.301
|
| 2162 |
+
- type: recall_at_3
|
| 2163 |
+
value: 5.137
|
| 2164 |
+
- type: recall_at_5
|
| 2165 |
+
value: 7.317
|
| 2166 |
+
- task:
|
| 2167 |
+
type: Classification
|
| 2168 |
+
dataset:
|
| 2169 |
+
type: mteb/toxic_conversations_50k
|
| 2170 |
+
name: MTEB ToxicConversationsClassification
|
| 2171 |
+
config: default
|
| 2172 |
+
split: test
|
| 2173 |
+
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
|
| 2174 |
+
metrics:
|
| 2175 |
+
- type: accuracy
|
| 2176 |
+
value: 67.4808
|
| 2177 |
+
- type: ap
|
| 2178 |
+
value: 12.474767995994732
|
| 2179 |
+
- type: f1
|
| 2180 |
+
value: 51.7199877262739
|
| 2181 |
+
- task:
|
| 2182 |
+
type: Classification
|
| 2183 |
+
dataset:
|
| 2184 |
+
type: mteb/tweet_sentiment_extraction
|
| 2185 |
+
name: MTEB TweetSentimentExtractionClassification
|
| 2186 |
+
config: default
|
| 2187 |
+
split: test
|
| 2188 |
+
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 2189 |
+
metrics:
|
| 2190 |
+
- type: accuracy
|
| 2191 |
+
value: 55.62252405206565
|
| 2192 |
+
- type: f1
|
| 2193 |
+
value: 55.87133173318741
|
| 2194 |
+
- task:
|
| 2195 |
+
type: Clustering
|
| 2196 |
+
dataset:
|
| 2197 |
+
type: mteb/twentynewsgroups-clustering
|
| 2198 |
+
name: MTEB TwentyNewsgroupsClustering
|
| 2199 |
+
config: default
|
| 2200 |
+
split: test
|
| 2201 |
+
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 2202 |
+
metrics:
|
| 2203 |
+
- type: v_measure
|
| 2204 |
+
value: 45.75265994155206
|
| 2205 |
+
- task:
|
| 2206 |
+
type: PairClassification
|
| 2207 |
+
dataset:
|
| 2208 |
+
type: mteb/twittersemeval2015-pairclassification
|
| 2209 |
+
name: MTEB TwitterSemEval2015
|
| 2210 |
+
config: default
|
| 2211 |
+
split: test
|
| 2212 |
+
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 2213 |
+
metrics:
|
| 2214 |
+
- type: cos_sim_accuracy
|
| 2215 |
+
value: 84.16284198605233
|
| 2216 |
+
- type: cos_sim_ap
|
| 2217 |
+
value: 67.7713341907894
|
| 2218 |
+
- type: cos_sim_f1
|
| 2219 |
+
value: 63.007767732076914
|
| 2220 |
+
- type: cos_sim_precision
|
| 2221 |
+
value: 60.89096726556732
|
| 2222 |
+
- type: cos_sim_recall
|
| 2223 |
+
value: 65.27704485488127
|
| 2224 |
+
- type: dot_accuracy
|
| 2225 |
+
value: 80.60439887941826
|
| 2226 |
+
- type: dot_ap
|
| 2227 |
+
value: 55.17279708911177
|
| 2228 |
+
- type: dot_f1
|
| 2229 |
+
value: 55.023250784038055
|
| 2230 |
+
- type: dot_precision
|
| 2231 |
+
value: 46.619021440351844
|
| 2232 |
+
- type: dot_recall
|
| 2233 |
+
value: 67.12401055408971
|
| 2234 |
+
- type: euclidean_accuracy
|
| 2235 |
+
value: 84.75889610776659
|
| 2236 |
+
- type: euclidean_ap
|
| 2237 |
+
value: 69.339283557053
|
| 2238 |
+
- type: euclidean_f1
|
| 2239 |
+
value: 64.72887151929653
|
| 2240 |
+
- type: euclidean_precision
|
| 2241 |
+
value: 60.254661209640744
|
| 2242 |
+
- type: euclidean_recall
|
| 2243 |
+
value: 69.92084432717678
|
| 2244 |
+
- type: manhattan_accuracy
|
| 2245 |
+
value: 84.84234368480658
|
| 2246 |
+
- type: manhattan_ap
|
| 2247 |
+
value: 69.50781739580388
|
| 2248 |
+
- type: manhattan_f1
|
| 2249 |
+
value: 64.78766430738119
|
| 2250 |
+
- type: manhattan_precision
|
| 2251 |
+
value: 62.17855409995148
|
| 2252 |
+
- type: manhattan_recall
|
| 2253 |
+
value: 67.62532981530343
|
| 2254 |
+
- type: max_accuracy
|
| 2255 |
+
value: 84.84234368480658
|
| 2256 |
+
- type: max_ap
|
| 2257 |
+
value: 69.50781739580388
|
| 2258 |
+
- type: max_f1
|
| 2259 |
+
value: 64.78766430738119
|
| 2260 |
+
- task:
|
| 2261 |
+
type: PairClassification
|
| 2262 |
+
dataset:
|
| 2263 |
+
type: mteb/twitterurlcorpus-pairclassification
|
| 2264 |
+
name: MTEB TwitterURLCorpus
|
| 2265 |
+
config: default
|
| 2266 |
+
split: test
|
| 2267 |
+
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 2268 |
+
metrics:
|
| 2269 |
+
- type: cos_sim_accuracy
|
| 2270 |
+
value: 88.46198626149726
|
| 2271 |
+
- type: cos_sim_ap
|
| 2272 |
+
value: 84.64910523561979
|
| 2273 |
+
- type: cos_sim_f1
|
| 2274 |
+
value: 77.18601251827143
|
| 2275 |
+
- type: cos_sim_precision
|
| 2276 |
+
value: 75.19900679179142
|
| 2277 |
+
- type: cos_sim_recall
|
| 2278 |
+
value: 79.28087465352634
|
| 2279 |
+
- type: dot_accuracy
|
| 2280 |
+
value: 86.79512554818179
|
| 2281 |
+
- type: dot_ap
|
| 2282 |
+
value: 80.43209362097343
|
| 2283 |
+
- type: dot_f1
|
| 2284 |
+
value: 74.18943791589976
|
| 2285 |
+
- type: dot_precision
|
| 2286 |
+
value: 68.65828092243187
|
| 2287 |
+
- type: dot_recall
|
| 2288 |
+
value: 80.68986757006468
|
| 2289 |
+
- type: euclidean_accuracy
|
| 2290 |
+
value: 88.2368921488726
|
| 2291 |
+
- type: euclidean_ap
|
| 2292 |
+
value: 84.27906162916011
|
| 2293 |
+
- type: euclidean_f1
|
| 2294 |
+
value: 76.62216238453198
|
| 2295 |
+
- type: euclidean_precision
|
| 2296 |
+
value: 74.49640026179914
|
| 2297 |
+
- type: euclidean_recall
|
| 2298 |
+
value: 78.87280566676932
|
| 2299 |
+
- type: manhattan_accuracy
|
| 2300 |
+
value: 88.29122521054062
|
| 2301 |
+
- type: manhattan_ap
|
| 2302 |
+
value: 84.2549146077175
|
| 2303 |
+
- type: manhattan_f1
|
| 2304 |
+
value: 76.60077590984667
|
| 2305 |
+
- type: manhattan_precision
|
| 2306 |
+
value: 73.63784897350287
|
| 2307 |
+
- type: manhattan_recall
|
| 2308 |
+
value: 79.81213427779488
|
| 2309 |
+
- type: max_accuracy
|
| 2310 |
+
value: 88.46198626149726
|
| 2311 |
+
- type: max_ap
|
| 2312 |
+
value: 84.64910523561979
|
| 2313 |
+
- type: max_f1
|
| 2314 |
+
value: 77.18601251827143
|
| 2315 |
---
|
| 2316 |
|
| 2317 |
# embedder-100p
|