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README.md
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@@ -26,26 +26,9 @@ model-index:
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value: 93.1492537313433
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task:
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type: Classification
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-
- dataset:
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-
config: en
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| 31 |
-
name: MTEB AmazonCounterfactualClassification (en)
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revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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split: validation
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type: mteb/amazon_counterfactual
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-
metrics:
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-
- type: accuracy
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-
value: 93.04477611940298
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-
- type: ap
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-
value: 68.51763006673485
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-
- type: f1
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-
value: 88.44832081571468
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-
- type: main_score
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-
value: 93.04477611940298
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-
task:
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| 45 |
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type: Classification
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| 46 |
- dataset:
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| 47 |
config: default
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| 48 |
-
name: MTEB AmazonPolarityClassification
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| 49 |
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
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split: test
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type: mteb/amazon_polarity
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@@ -76,23 +59,67 @@ model-index:
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task:
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type: Classification
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- dataset:
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-
config:
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-
name: MTEB
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-
revision:
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-
split:
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-
type: mteb/
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metrics:
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-
- type: accuracy
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-
value: 61.204
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| 87 |
-
- type: f1
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-
value: 60.262736729265384
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- type: main_score
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-
value:
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task:
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type:
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- dataset:
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config: default
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| 95 |
-
name: MTEB ArxivClusteringP2P
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| 96 |
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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split: test
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type: mteb/arxiv-clustering-p2p
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@@ -107,7 +134,7 @@ model-index:
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type: Clustering
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- dataset:
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config: default
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-
name: MTEB ArxivClusteringS2S
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revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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split: test
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type: mteb/arxiv-clustering-s2s
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type: Clustering
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- dataset:
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config: default
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name: MTEB AskUbuntuDupQuestions
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
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split: test
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type: mteb/askubuntudupquestions-reranking
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@@ -137,18 +164,22 @@ model-index:
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type: Reranking
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- dataset:
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config: default
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name: MTEB BIOSSES
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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split: test
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type: mteb/biosses-sts
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metrics:
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- type: main_score
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value: 86.47365710792691
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task:
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type: STS
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- dataset:
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config: default
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-
name: MTEB Banking77Classification
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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split: test
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type: mteb/banking77
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@@ -163,7 +194,7 @@ model-index:
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type: Classification
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- dataset:
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config: default
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-
name: MTEB BiorxivClusteringP2P
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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split: test
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type: mteb/biorxiv-clustering-p2p
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@@ -178,7 +209,7 @@ model-index:
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type: Clustering
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- dataset:
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config: default
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| 181 |
-
name: MTEB BiorxivClusteringS2S
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
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split: test
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type: mteb/biorxiv-clustering-s2s
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@@ -193,43 +224,382 @@ model-index:
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type: Clustering
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- dataset:
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config: default
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-
name: MTEB
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-
revision:
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split: test
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-
type: mteb/
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metrics:
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-
- type: accuracy
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| 202 |
-
value: 93.36
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| 203 |
-
- type: f1
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-
value: 89.73665936982262
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- type: main_score
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-
value:
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task:
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type:
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| 209 |
- dataset:
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config: default
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-
name: MTEB EmotionClassification
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| 212 |
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
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| 213 |
-
split:
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type: mteb/emotion
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metrics:
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- type: accuracy
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-
value:
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- type: f1
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-
value:
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- type: main_score
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| 221 |
-
value:
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| 222 |
task:
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type: Classification
|
| 224 |
- dataset:
|
| 225 |
config: default
|
| 226 |
-
name: MTEB
|
| 227 |
-
revision:
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split: test
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| 229 |
-
type: mteb/
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metrics:
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-
- type:
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-
value:
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- type: ap
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value: 95.45276911068486
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- type: f1
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@@ -239,33 +609,77 @@ model-index:
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task:
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| 240 |
type: Classification
|
| 241 |
- dataset:
|
| 242 |
-
config:
|
| 243 |
-
name: MTEB
|
| 244 |
-
revision:
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| 245 |
-
split:
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| 246 |
-
type: mteb/
|
| 247 |
metrics:
|
| 248 |
-
- type: accuracy
|
| 249 |
-
value: 98.42225262197901
|
| 250 |
-
- type: f1
|
| 251 |
-
value: 98.31652547061115
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- type: main_score
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-
value:
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task:
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-
type:
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- dataset:
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config: en
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name: MTEB MTOPDomainClassification (en)
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revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
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-
split:
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type: mteb/mtop_domain
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metrics:
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- type: accuracy
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-
value: 98.
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- type: f1
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| 266 |
-
value: 98.
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- type: main_score
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-
value: 98.
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task:
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type: Classification
|
| 271 |
- dataset:
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@@ -283,21 +697,6 @@ model-index:
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value: 94.00136798905609
|
| 284 |
task:
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type: Classification
|
| 286 |
-
- dataset:
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| 287 |
-
config: en
|
| 288 |
-
name: MTEB MTOPIntentClassification (en)
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| 289 |
-
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
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| 290 |
-
split: validation
|
| 291 |
-
type: mteb/mtop_intent
|
| 292 |
-
metrics:
|
| 293 |
-
- type: accuracy
|
| 294 |
-
value: 93.89261744966441
|
| 295 |
-
- type: f1
|
| 296 |
-
value: 78.76796618262529
|
| 297 |
-
- type: main_score
|
| 298 |
-
value: 93.89261744966441
|
| 299 |
-
task:
|
| 300 |
-
type: Classification
|
| 301 |
- dataset:
|
| 302 |
config: en
|
| 303 |
name: MTEB MassiveIntentClassification (en)
|
|
@@ -313,21 +712,6 @@ model-index:
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value: 82.92535305985204
|
| 314 |
task:
|
| 315 |
type: Classification
|
| 316 |
-
- dataset:
|
| 317 |
-
config: en
|
| 318 |
-
name: MTEB MassiveIntentClassification (en)
|
| 319 |
-
revision: 4672e20407010da34463acc759c162ca9734bca6
|
| 320 |
-
split: validation
|
| 321 |
-
type: mteb/amazon_massive_intent
|
| 322 |
-
metrics:
|
| 323 |
-
- type: accuracy
|
| 324 |
-
value: 83.55140186915888
|
| 325 |
-
- type: f1
|
| 326 |
-
value: 81.09072707555056
|
| 327 |
-
- type: main_score
|
| 328 |
-
value: 83.55140186915888
|
| 329 |
-
task:
|
| 330 |
-
type: Classification
|
| 331 |
- dataset:
|
| 332 |
config: en
|
| 333 |
name: MTEB MassiveScenarioClassification (en)
|
|
@@ -343,24 +727,9 @@ model-index:
|
|
| 343 |
value: 85.60188298587758
|
| 344 |
task:
|
| 345 |
type: Classification
|
| 346 |
-
- dataset:
|
| 347 |
-
config: en
|
| 348 |
-
name: MTEB MassiveScenarioClassification (en)
|
| 349 |
-
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
|
| 350 |
-
split: validation
|
| 351 |
-
type: mteb/amazon_massive_scenario
|
| 352 |
-
metrics:
|
| 353 |
-
- type: accuracy
|
| 354 |
-
value: 85.01721593703886
|
| 355 |
-
- type: f1
|
| 356 |
-
value: 84.05277245992066
|
| 357 |
-
- type: main_score
|
| 358 |
-
value: 85.01721593703886
|
| 359 |
-
task:
|
| 360 |
-
type: Classification
|
| 361 |
- dataset:
|
| 362 |
config: default
|
| 363 |
-
name: MTEB MedrxivClusteringP2P
|
| 364 |
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 365 |
split: test
|
| 366 |
type: mteb/medrxiv-clustering-p2p
|
|
@@ -375,7 +744,7 @@ model-index:
|
|
| 375 |
type: Clustering
|
| 376 |
- dataset:
|
| 377 |
config: default
|
| 378 |
-
name: MTEB MedrxivClusteringS2S
|
| 379 |
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 380 |
split: test
|
| 381 |
type: mteb/medrxiv-clustering-s2s
|
|
@@ -390,7 +759,7 @@ model-index:
|
|
| 390 |
type: Clustering
|
| 391 |
- dataset:
|
| 392 |
config: default
|
| 393 |
-
name: MTEB MindSmallReranking
|
| 394 |
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
|
| 395 |
split: test
|
| 396 |
type: mteb/mind_small
|
|
@@ -405,7 +774,184 @@ model-index:
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|
| 405 |
type: Reranking
|
| 406 |
- dataset:
|
| 407 |
config: default
|
| 408 |
-
name: MTEB
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|
| 409 |
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 410 |
split: test
|
| 411 |
type: mteb/reddit-clustering
|
|
@@ -420,7 +966,7 @@ model-index:
|
|
| 420 |
type: Clustering
|
| 421 |
- dataset:
|
| 422 |
config: default
|
| 423 |
-
name: MTEB RedditClusteringP2P
|
| 424 |
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
|
| 425 |
split: test
|
| 426 |
type: mteb/reddit-clustering-p2p
|
|
@@ -435,68 +981,151 @@ model-index:
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|
| 435 |
type: Clustering
|
| 436 |
- dataset:
|
| 437 |
config: default
|
| 438 |
-
name: MTEB
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|
| 439 |
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
|
| 440 |
split: test
|
| 441 |
type: mteb/sickr-sts
|
| 442 |
metrics:
|
| 443 |
- type: main_score
|
| 444 |
value: 83.86733787791422
|
|
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|
| 445 |
task:
|
| 446 |
type: STS
|
| 447 |
- dataset:
|
| 448 |
config: default
|
| 449 |
-
name: MTEB STS12
|
| 450 |
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 451 |
split: test
|
| 452 |
type: mteb/sts12-sts
|
| 453 |
metrics:
|
| 454 |
- type: main_score
|
| 455 |
value: 78.14269330480724
|
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| 456 |
task:
|
| 457 |
type: STS
|
| 458 |
- dataset:
|
| 459 |
config: default
|
| 460 |
-
name: MTEB STS13
|
| 461 |
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 462 |
split: test
|
| 463 |
type: mteb/sts13-sts
|
| 464 |
metrics:
|
| 465 |
- type: main_score
|
| 466 |
value: 86.58640009300751
|
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|
| 467 |
task:
|
| 468 |
type: STS
|
| 469 |
- dataset:
|
| 470 |
config: default
|
| 471 |
-
name: MTEB STS14
|
| 472 |
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 473 |
split: test
|
| 474 |
type: mteb/sts14-sts
|
| 475 |
metrics:
|
| 476 |
- type: main_score
|
| 477 |
value: 82.8292579957437
|
|
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|
| 478 |
task:
|
| 479 |
type: STS
|
| 480 |
- dataset:
|
| 481 |
config: default
|
| 482 |
-
name: MTEB STS15
|
| 483 |
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 484 |
split: test
|
| 485 |
type: mteb/sts15-sts
|
| 486 |
metrics:
|
| 487 |
- type: main_score
|
| 488 |
value: 87.77203714228862
|
| 489 |
-
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|
| 490 |
type: STS
|
| 491 |
- dataset:
|
| 492 |
config: default
|
| 493 |
-
name: MTEB STS16
|
| 494 |
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 495 |
split: test
|
| 496 |
type: mteb/sts16-sts
|
| 497 |
metrics:
|
| 498 |
- type: main_score
|
| 499 |
value: 87.0439304006969
|
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|
| 500 |
task:
|
| 501 |
type: STS
|
| 502 |
- dataset:
|
|
@@ -508,6 +1137,10 @@ model-index:
|
|
| 508 |
metrics:
|
| 509 |
- type: main_score
|
| 510 |
value: 91.24736138013424
|
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|
| 511 |
task:
|
| 512 |
type: STS
|
| 513 |
- dataset:
|
|
@@ -519,22 +1152,30 @@ model-index:
|
|
| 519 |
metrics:
|
| 520 |
- type: main_score
|
| 521 |
value: 70.07326214706
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|
| 522 |
task:
|
| 523 |
type: STS
|
| 524 |
- dataset:
|
| 525 |
config: default
|
| 526 |
-
name: MTEB STSBenchmark
|
| 527 |
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 528 |
split: test
|
| 529 |
type: mteb/stsbenchmark-sts
|
| 530 |
metrics:
|
| 531 |
- type: main_score
|
| 532 |
value: 88.42076443255168
|
|
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|
| 533 |
task:
|
| 534 |
type: STS
|
| 535 |
- dataset:
|
| 536 |
config: default
|
| 537 |
-
name: MTEB SciDocsRR
|
| 538 |
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
| 539 |
split: test
|
| 540 |
type: mteb/scidocs-reranking
|
|
@@ -549,7 +1190,66 @@ model-index:
|
|
| 549 |
type: Reranking
|
| 550 |
- dataset:
|
| 551 |
config: default
|
| 552 |
-
name: MTEB
|
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|
| 553 |
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 554 |
split: test
|
| 555 |
type: mteb/sprintduplicatequestions-pairclassification
|
|
@@ -622,80 +1322,7 @@ model-index:
|
|
| 622 |
type: PairClassification
|
| 623 |
- dataset:
|
| 624 |
config: default
|
| 625 |
-
name: MTEB
|
| 626 |
-
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 627 |
-
split: validation
|
| 628 |
-
type: mteb/sprintduplicatequestions-pairclassification
|
| 629 |
-
metrics:
|
| 630 |
-
- type: main_score
|
| 631 |
-
value: 98.02470052972619
|
| 632 |
-
- type: cos_sim_accuracy
|
| 633 |
-
value: 99.88811881188118
|
| 634 |
-
- type: cos_sim_accuracy_threshold
|
| 635 |
-
value: 75.25776028633118
|
| 636 |
-
- type: cos_sim_ap
|
| 637 |
-
value: 97.97198133050095
|
| 638 |
-
- type: cos_sim_f1
|
| 639 |
-
value: 94.37531110004977
|
| 640 |
-
- type: cos_sim_f1_threshold
|
| 641 |
-
value: 75.25776028633118
|
| 642 |
-
- type: cos_sim_precision
|
| 643 |
-
value: 93.95441030723488
|
| 644 |
-
- type: cos_sim_recall
|
| 645 |
-
value: 94.8
|
| 646 |
-
- type: dot_accuracy
|
| 647 |
-
value: 99.88811881188118
|
| 648 |
-
- type: dot_accuracy_threshold
|
| 649 |
-
value: 75.25776624679565
|
| 650 |
-
- type: dot_ap
|
| 651 |
-
value: 97.97198133050095
|
| 652 |
-
- type: dot_f1
|
| 653 |
-
value: 94.37531110004977
|
| 654 |
-
- type: dot_f1_threshold
|
| 655 |
-
value: 75.25776624679565
|
| 656 |
-
- type: dot_precision
|
| 657 |
-
value: 93.95441030723488
|
| 658 |
-
- type: dot_recall
|
| 659 |
-
value: 94.8
|
| 660 |
-
- type: euclidean_accuracy
|
| 661 |
-
value: 99.88811881188118
|
| 662 |
-
- type: euclidean_accuracy_threshold
|
| 663 |
-
value: 70.34507989883423
|
| 664 |
-
- type: euclidean_ap
|
| 665 |
-
value: 97.97198133050095
|
| 666 |
-
- type: euclidean_f1
|
| 667 |
-
value: 94.37531110004977
|
| 668 |
-
- type: euclidean_f1_threshold
|
| 669 |
-
value: 70.34507989883423
|
| 670 |
-
- type: euclidean_precision
|
| 671 |
-
value: 93.95441030723488
|
| 672 |
-
- type: euclidean_recall
|
| 673 |
-
value: 94.8
|
| 674 |
-
- type: manhattan_accuracy
|
| 675 |
-
value: 99.89207920792079
|
| 676 |
-
- type: manhattan_accuracy_threshold
|
| 677 |
-
value: 3481.599807739258
|
| 678 |
-
- type: manhattan_ap
|
| 679 |
-
value: 98.02470052972619
|
| 680 |
-
- type: manhattan_f1
|
| 681 |
-
value: 94.52536413862381
|
| 682 |
-
- type: manhattan_f1_threshold
|
| 683 |
-
value: 3481.599807739258
|
| 684 |
-
- type: manhattan_precision
|
| 685 |
-
value: 94.95459132189707
|
| 686 |
-
- type: manhattan_recall
|
| 687 |
-
value: 94.1
|
| 688 |
-
- type: max_accuracy
|
| 689 |
-
value: 99.89207920792079
|
| 690 |
-
- type: max_ap
|
| 691 |
-
value: 98.02470052972619
|
| 692 |
-
- type: max_f1
|
| 693 |
-
value: 94.52536413862381
|
| 694 |
-
task:
|
| 695 |
-
type: PairClassification
|
| 696 |
-
- dataset:
|
| 697 |
-
config: default
|
| 698 |
-
name: MTEB StackExchangeClustering (default)
|
| 699 |
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 700 |
split: test
|
| 701 |
type: mteb/stackexchange-clustering
|
|
@@ -710,7 +1337,7 @@ model-index:
|
|
| 710 |
type: Clustering
|
| 711 |
- dataset:
|
| 712 |
config: default
|
| 713 |
-
name: MTEB StackExchangeClusteringP2P
|
| 714 |
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 715 |
split: test
|
| 716 |
type: mteb/stackexchange-clustering-p2p
|
|
@@ -725,7 +1352,7 @@ model-index:
|
|
| 725 |
type: Clustering
|
| 726 |
- dataset:
|
| 727 |
config: default
|
| 728 |
-
name: MTEB StackOverflowDupQuestions
|
| 729 |
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 730 |
split: test
|
| 731 |
type: mteb/stackoverflowdupquestions-reranking
|
|
@@ -740,7 +1367,7 @@ model-index:
|
|
| 740 |
type: Reranking
|
| 741 |
- dataset:
|
| 742 |
config: default
|
| 743 |
-
name: MTEB SummEval
|
| 744 |
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 745 |
split: test
|
| 746 |
type: mteb/summeval
|
|
@@ -751,7 +1378,125 @@ model-index:
|
|
| 751 |
type: Summarization
|
| 752 |
- dataset:
|
| 753 |
config: default
|
| 754 |
-
name: MTEB
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|
| 755 |
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
|
| 756 |
split: test
|
| 757 |
type: mteb/toxic_conversations_50k
|
|
@@ -768,7 +1513,7 @@ model-index:
|
|
| 768 |
type: Classification
|
| 769 |
- dataset:
|
| 770 |
config: default
|
| 771 |
-
name: MTEB TweetSentimentExtractionClassification
|
| 772 |
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 773 |
split: test
|
| 774 |
type: mteb/tweet_sentiment_extraction
|
|
@@ -783,7 +1528,7 @@ model-index:
|
|
| 783 |
type: Classification
|
| 784 |
- dataset:
|
| 785 |
config: default
|
| 786 |
-
name: MTEB TwentyNewsgroupsClustering
|
| 787 |
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 788 |
split: test
|
| 789 |
type: mteb/twentynewsgroups-clustering
|
|
@@ -798,7 +1543,7 @@ model-index:
|
|
| 798 |
type: Clustering
|
| 799 |
- dataset:
|
| 800 |
config: default
|
| 801 |
-
name: MTEB TwitterSemEval2015
|
| 802 |
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 803 |
split: test
|
| 804 |
type: mteb/twittersemeval2015-pairclassification
|
|
@@ -871,7 +1616,7 @@ model-index:
|
|
| 871 |
type: PairClassification
|
| 872 |
- dataset:
|
| 873 |
config: default
|
| 874 |
-
name: MTEB TwitterURLCorpus
|
| 875 |
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 876 |
split: test
|
| 877 |
type: mteb/twitterurlcorpus-pairclassification
|
|
@@ -942,1545 +1687,6 @@ model-index:
|
|
| 942 |
value: 80.27105660516332
|
| 943 |
task:
|
| 944 |
type: PairClassification
|
| 945 |
-
- task:
|
| 946 |
-
type: Retrieval
|
| 947 |
-
dataset:
|
| 948 |
-
type: nfcorpus
|
| 949 |
-
name: MTEB NFCorpus
|
| 950 |
-
config: default
|
| 951 |
-
split: test
|
| 952 |
-
revision: None
|
| 953 |
-
metrics:
|
| 954 |
-
- type: ndcg_at_1
|
| 955 |
-
value: 52.47678018575851
|
| 956 |
-
- type: ndcg_at_3
|
| 957 |
-
value: 47.43993801247414
|
| 958 |
-
- type: ndcg_at_5
|
| 959 |
-
value: 45.08173173082719
|
| 960 |
-
- type: ndcg_at_10
|
| 961 |
-
value: 41.850870119787835
|
| 962 |
-
- type: ndcg_at_100
|
| 963 |
-
value: 37.79284946590978
|
| 964 |
-
- type: ndcg_at_1000
|
| 965 |
-
value: 46.58046062123418
|
| 966 |
-
- type: map_at_1
|
| 967 |
-
value: 6.892464464226138
|
| 968 |
-
- type: map_at_3
|
| 969 |
-
value: 12.113195798233127
|
| 970 |
-
- type: map_at_5
|
| 971 |
-
value: 13.968475602788812
|
| 972 |
-
- type: map_at_10
|
| 973 |
-
value: 16.47564069781326
|
| 974 |
-
- type: map_at_100
|
| 975 |
-
value: 20.671726065190025
|
| 976 |
-
- type: map_at_1000
|
| 977 |
-
value: 22.328875914012006
|
| 978 |
-
- type: precision_at_1
|
| 979 |
-
value: 53.86996904024768
|
| 980 |
-
- type: precision_at_3
|
| 981 |
-
value: 43.96284829721363
|
| 982 |
-
- type: precision_at_5
|
| 983 |
-
value: 38.69969040247682
|
| 984 |
-
- type: precision_at_10
|
| 985 |
-
value: 30.928792569659457
|
| 986 |
-
- type: precision_at_100
|
| 987 |
-
value: 9.507739938080498
|
| 988 |
-
- type: precision_at_1000
|
| 989 |
-
value: 2.25882352941176
|
| 990 |
-
- type: recall_at_1
|
| 991 |
-
value: 6.892464464226138
|
| 992 |
-
- type: recall_at_3
|
| 993 |
-
value: 13.708153358278407
|
| 994 |
-
- type: recall_at_5
|
| 995 |
-
value: 16.651919797359145
|
| 996 |
-
- type: recall_at_10
|
| 997 |
-
value: 21.01801714352559
|
| 998 |
-
- type: recall_at_100
|
| 999 |
-
value: 37.01672102843443
|
| 1000 |
-
- type: recall_at_1000
|
| 1001 |
-
value: 69.8307270724072
|
| 1002 |
-
- task:
|
| 1003 |
-
type: Retrieval
|
| 1004 |
-
dataset:
|
| 1005 |
-
type: msmarco
|
| 1006 |
-
name: MTEB MSMARCO
|
| 1007 |
-
config: default
|
| 1008 |
-
split: dev
|
| 1009 |
-
revision: None
|
| 1010 |
-
metrics:
|
| 1011 |
-
- type: ndcg_at_1
|
| 1012 |
-
value: 26.63323782234957
|
| 1013 |
-
- type: ndcg_at_3
|
| 1014 |
-
value: 38.497585804985754
|
| 1015 |
-
- type: ndcg_at_5
|
| 1016 |
-
value: 42.72761631631636
|
| 1017 |
-
- type: ndcg_at_10
|
| 1018 |
-
value: 46.78865753107054
|
| 1019 |
-
- type: ndcg_at_100
|
| 1020 |
-
value: 51.96170786623209
|
| 1021 |
-
- type: ndcg_at_1000
|
| 1022 |
-
value: 52.82713901970963
|
| 1023 |
-
- type: map_at_1
|
| 1024 |
-
value: 25.89063992359121
|
| 1025 |
-
- type: map_at_3
|
| 1026 |
-
value: 35.299466730340654
|
| 1027 |
-
- type: map_at_5
|
| 1028 |
-
value: 37.68771887933786
|
| 1029 |
-
- type: map_at_10
|
| 1030 |
-
value: 39.40908074468253
|
| 1031 |
-
- type: map_at_100
|
| 1032 |
-
value: 40.53444082323405
|
| 1033 |
-
- type: map_at_1000
|
| 1034 |
-
value: 40.57183037649452
|
| 1035 |
-
- type: precision_at_1
|
| 1036 |
-
value: 26.63323782234957
|
| 1037 |
-
- type: precision_at_3
|
| 1038 |
-
value: 16.265520534861793
|
| 1039 |
-
- type: precision_at_5
|
| 1040 |
-
value: 11.902578796562304
|
| 1041 |
-
- type: precision_at_10
|
| 1042 |
-
value: 7.262177650430416
|
| 1043 |
-
- type: precision_at_100
|
| 1044 |
-
value: 0.9819484240687512
|
| 1045 |
-
- type: precision_at_1000
|
| 1046 |
-
value: 0.10571633237823287
|
| 1047 |
-
- type: recall_at_1
|
| 1048 |
-
value: 25.89063992359121
|
| 1049 |
-
- type: recall_at_3
|
| 1050 |
-
value: 46.99737344794652
|
| 1051 |
-
- type: recall_at_5
|
| 1052 |
-
value: 57.160936007640906
|
| 1053 |
-
- type: recall_at_10
|
| 1054 |
-
value: 69.43409742120343
|
| 1055 |
-
- type: recall_at_100
|
| 1056 |
-
value: 92.86413562559697
|
| 1057 |
-
- type: recall_at_1000
|
| 1058 |
-
value: 99.3230659025788
|
| 1059 |
-
- task:
|
| 1060 |
-
type: Retrieval
|
| 1061 |
-
dataset:
|
| 1062 |
-
type: fiqa
|
| 1063 |
-
name: MTEB FiQA2018
|
| 1064 |
-
config: default
|
| 1065 |
-
split: test
|
| 1066 |
-
revision: None
|
| 1067 |
-
metrics:
|
| 1068 |
-
- type: ndcg_at_1
|
| 1069 |
-
value: 57.407407407407405
|
| 1070 |
-
- type: ndcg_at_3
|
| 1071 |
-
value: 53.79975378289304
|
| 1072 |
-
- type: ndcg_at_5
|
| 1073 |
-
value: 56.453379423655406
|
| 1074 |
-
- type: ndcg_at_10
|
| 1075 |
-
value: 59.67151242793314
|
| 1076 |
-
- type: ndcg_at_100
|
| 1077 |
-
value: 65.34055762539253
|
| 1078 |
-
- type: ndcg_at_1000
|
| 1079 |
-
value: 67.07707746043032
|
| 1080 |
-
- type: map_at_1
|
| 1081 |
-
value: 30.65887045053714
|
| 1082 |
-
- type: map_at_3
|
| 1083 |
-
value: 44.09107110881799
|
| 1084 |
-
- type: map_at_5
|
| 1085 |
-
value: 48.18573748068346
|
| 1086 |
-
- type: map_at_10
|
| 1087 |
-
value: 51.03680979612876
|
| 1088 |
-
- type: map_at_100
|
| 1089 |
-
value: 53.03165194566928
|
| 1090 |
-
- type: map_at_1000
|
| 1091 |
-
value: 53.16191096190861
|
| 1092 |
-
- type: precision_at_1
|
| 1093 |
-
value: 57.407407407407405
|
| 1094 |
-
- type: precision_at_3
|
| 1095 |
-
value: 35.493827160493886
|
| 1096 |
-
- type: precision_at_5
|
| 1097 |
-
value: 26.913580246913547
|
| 1098 |
-
- type: precision_at_10
|
| 1099 |
-
value: 16.435185185185155
|
| 1100 |
-
- type: precision_at_100
|
| 1101 |
-
value: 2.2685185185184986
|
| 1102 |
-
- type: precision_at_1000
|
| 1103 |
-
value: 0.25864197530863964
|
| 1104 |
-
- type: recall_at_1
|
| 1105 |
-
value: 30.65887045053714
|
| 1106 |
-
- type: recall_at_3
|
| 1107 |
-
value: 48.936723427464194
|
| 1108 |
-
- type: recall_at_5
|
| 1109 |
-
value: 58.55942925387371
|
| 1110 |
-
- type: recall_at_10
|
| 1111 |
-
value: 68.45128551147073
|
| 1112 |
-
- type: recall_at_100
|
| 1113 |
-
value: 88.24599311867836
|
| 1114 |
-
- type: recall_at_1000
|
| 1115 |
-
value: 98.18121693121691
|
| 1116 |
-
- task:
|
| 1117 |
-
type: Retrieval
|
| 1118 |
-
dataset:
|
| 1119 |
-
type: scidocs
|
| 1120 |
-
name: MTEB SCIDOCS
|
| 1121 |
-
config: default
|
| 1122 |
-
split: test
|
| 1123 |
-
revision: None
|
| 1124 |
-
metrics:
|
| 1125 |
-
- type: ndcg_at_1
|
| 1126 |
-
value: 28.7
|
| 1127 |
-
- type: ndcg_at_3
|
| 1128 |
-
value: 23.61736427940938
|
| 1129 |
-
- type: ndcg_at_5
|
| 1130 |
-
value: 20.845690325673885
|
| 1131 |
-
- type: ndcg_at_10
|
| 1132 |
-
value: 25.25865384510787
|
| 1133 |
-
- type: ndcg_at_100
|
| 1134 |
-
value: 36.18596641088721
|
| 1135 |
-
- type: ndcg_at_1000
|
| 1136 |
-
value: 41.7166868935345
|
| 1137 |
-
- type: map_at_1
|
| 1138 |
-
value: 5.828333333333361
|
| 1139 |
-
- type: map_at_3
|
| 1140 |
-
value: 10.689166666666676
|
| 1141 |
-
- type: map_at_5
|
| 1142 |
-
value: 13.069916666666668
|
| 1143 |
-
- type: map_at_10
|
| 1144 |
-
value: 15.4901164021164
|
| 1145 |
-
- type: map_at_100
|
| 1146 |
-
value: 18.61493245565425
|
| 1147 |
-
- type: map_at_1000
|
| 1148 |
-
value: 18.99943478016456
|
| 1149 |
-
- type: precision_at_1
|
| 1150 |
-
value: 28.7
|
| 1151 |
-
- type: precision_at_3
|
| 1152 |
-
value: 22.30000000000006
|
| 1153 |
-
- type: precision_at_5
|
| 1154 |
-
value: 18.55999999999997
|
| 1155 |
-
- type: precision_at_10
|
| 1156 |
-
value: 13.289999999999946
|
| 1157 |
-
- type: precision_at_100
|
| 1158 |
-
value: 2.905000000000005
|
| 1159 |
-
- type: precision_at_1000
|
| 1160 |
-
value: 0.4218999999999946
|
| 1161 |
-
- type: recall_at_1
|
| 1162 |
-
value: 5.828333333333361
|
| 1163 |
-
- type: recall_at_3
|
| 1164 |
-
value: 13.548333333333387
|
| 1165 |
-
- type: recall_at_5
|
| 1166 |
-
value: 18.778333333333308
|
| 1167 |
-
- type: recall_at_10
|
| 1168 |
-
value: 26.939999999999902
|
| 1169 |
-
- type: recall_at_100
|
| 1170 |
-
value: 58.91333333333344
|
| 1171 |
-
- type: recall_at_1000
|
| 1172 |
-
value: 85.57499999999972
|
| 1173 |
-
- task:
|
| 1174 |
-
type: Retrieval
|
| 1175 |
-
dataset:
|
| 1176 |
-
type: fever
|
| 1177 |
-
name: MTEB FEVER
|
| 1178 |
-
config: defaultcqa
|
| 1179 |
-
split: test
|
| 1180 |
-
revision: None
|
| 1181 |
-
metrics:
|
| 1182 |
-
- type: ndcg_at_1
|
| 1183 |
-
value: 88.98889888988899
|
| 1184 |
-
- type: ndcg_at_3
|
| 1185 |
-
value: 91.82404417747676
|
| 1186 |
-
- type: ndcg_at_5
|
| 1187 |
-
value: 92.41785792357787
|
| 1188 |
-
- type: ndcg_at_10
|
| 1189 |
-
value: 92.82809814626805
|
| 1190 |
-
- type: ndcg_at_100
|
| 1191 |
-
value: 93.31730867509245
|
| 1192 |
-
- type: ndcg_at_1000
|
| 1193 |
-
value: 93.45171203408582
|
| 1194 |
-
- type: map_at_1
|
| 1195 |
-
value: 82.64125817343636
|
| 1196 |
-
- type: map_at_3
|
| 1197 |
-
value: 89.39970782792554
|
| 1198 |
-
- type: map_at_5
|
| 1199 |
-
value: 89.96799501378695
|
| 1200 |
-
- type: map_at_10
|
| 1201 |
-
value: 90.27479706587437
|
| 1202 |
-
- type: map_at_100
|
| 1203 |
-
value: 90.45185655778057
|
| 1204 |
-
- type: map_at_1000
|
| 1205 |
-
value: 90.46130471574544
|
| 1206 |
-
- type: precision_at_1
|
| 1207 |
-
value: 88.98889888988899
|
| 1208 |
-
- type: precision_at_3
|
| 1209 |
-
value: 34.923492349234245
|
| 1210 |
-
- type: precision_at_5
|
| 1211 |
-
value: 21.524152415244043
|
| 1212 |
-
- type: precision_at_10
|
| 1213 |
-
value: 11.033603360337315
|
| 1214 |
-
- type: precision_at_100
|
| 1215 |
-
value: 1.1521152115211895
|
| 1216 |
-
- type: precision_at_1000
|
| 1217 |
-
value: 0.11765676567657675
|
| 1218 |
-
- type: recall_at_1
|
| 1219 |
-
value: 82.64125817343636
|
| 1220 |
-
- type: recall_at_3
|
| 1221 |
-
value: 94.35195900542428
|
| 1222 |
-
- type: recall_at_5
|
| 1223 |
-
value: 95.9071323799047
|
| 1224 |
-
- type: recall_at_10
|
| 1225 |
-
value: 97.04234113887586
|
| 1226 |
-
- type: recall_at_100
|
| 1227 |
-
value: 98.77282371094255
|
| 1228 |
-
- type: recall_at_1000
|
| 1229 |
-
value: 99.5555567461508
|
| 1230 |
-
- task:
|
| 1231 |
-
type: Retrieval
|
| 1232 |
-
dataset:
|
| 1233 |
-
type: arguana
|
| 1234 |
-
name: MTEB ArguAna
|
| 1235 |
-
config: default
|
| 1236 |
-
split: test
|
| 1237 |
-
revision: None
|
| 1238 |
-
metrics:
|
| 1239 |
-
- type: ndcg_at_1
|
| 1240 |
-
value: 66.50071123755335
|
| 1241 |
-
- type: ndcg_at_3
|
| 1242 |
-
value: 80.10869593172173
|
| 1243 |
-
- type: ndcg_at_5
|
| 1244 |
-
value: 81.89670542467924
|
| 1245 |
-
- type: ndcg_at_10
|
| 1246 |
-
value: 83.07967801208441
|
| 1247 |
-
- type: ndcg_at_100
|
| 1248 |
-
value: 83.5991349601075
|
| 1249 |
-
- type: ndcg_at_1000
|
| 1250 |
-
value: 83.5991349601075
|
| 1251 |
-
- type: map_at_1
|
| 1252 |
-
value: 66.50071123755335
|
| 1253 |
-
- type: map_at_3
|
| 1254 |
-
value: 76.83736367946898
|
| 1255 |
-
- type: map_at_5
|
| 1256 |
-
value: 77.8473210052158
|
| 1257 |
-
- type: map_at_10
|
| 1258 |
-
value: 78.35472690735851
|
| 1259 |
-
- type: map_at_100
|
| 1260 |
-
value: 78.47388207611678
|
| 1261 |
-
- type: map_at_1000
|
| 1262 |
-
value: 78.47388207611678
|
| 1263 |
-
- type: precision_at_1
|
| 1264 |
-
value: 66.50071123755335
|
| 1265 |
-
- type: precision_at_3
|
| 1266 |
-
value: 29.848269321953076
|
| 1267 |
-
- type: precision_at_5
|
| 1268 |
-
value: 18.762446657183045
|
| 1269 |
-
- type: precision_at_10
|
| 1270 |
-
value: 9.736842105262909
|
| 1271 |
-
- type: precision_at_100
|
| 1272 |
-
value: 0.9964438122332677
|
| 1273 |
-
- type: precision_at_1000
|
| 1274 |
-
value: 0.09964438122332549
|
| 1275 |
-
- type: recall_at_1
|
| 1276 |
-
value: 66.50071123755335
|
| 1277 |
-
- type: recall_at_3
|
| 1278 |
-
value: 89.5448079658606
|
| 1279 |
-
- type: recall_at_5
|
| 1280 |
-
value: 93.8122332859175
|
| 1281 |
-
- type: recall_at_10
|
| 1282 |
-
value: 97.36842105263158
|
| 1283 |
-
- type: recall_at_100
|
| 1284 |
-
value: 99.6443812233286
|
| 1285 |
-
- type: recall_at_1000
|
| 1286 |
-
value: 99.6443812233286
|
| 1287 |
-
- task:
|
| 1288 |
-
type: Retrieval
|
| 1289 |
-
dataset:
|
| 1290 |
-
type: scifact
|
| 1291 |
-
name: MTEB SciFact
|
| 1292 |
-
config: default
|
| 1293 |
-
split: test
|
| 1294 |
-
revision: None
|
| 1295 |
-
metrics:
|
| 1296 |
-
- type: ndcg_at_1
|
| 1297 |
-
value: 66.0
|
| 1298 |
-
- type: ndcg_at_3
|
| 1299 |
-
value: 74.98853481223065
|
| 1300 |
-
- type: ndcg_at_5
|
| 1301 |
-
value: 77.29382051205019
|
| 1302 |
-
- type: ndcg_at_10
|
| 1303 |
-
value: 79.09159079425369
|
| 1304 |
-
- type: ndcg_at_100
|
| 1305 |
-
value: 80.29692802526776
|
| 1306 |
-
- type: ndcg_at_1000
|
| 1307 |
-
value: 80.55210036585547
|
| 1308 |
-
- type: map_at_1
|
| 1309 |
-
value: 62.994444444444454
|
| 1310 |
-
- type: map_at_3
|
| 1311 |
-
value: 71.7425925925926
|
| 1312 |
-
- type: map_at_5
|
| 1313 |
-
value: 73.6200925925926
|
| 1314 |
-
- type: map_at_10
|
| 1315 |
-
value: 74.50223544973547
|
| 1316 |
-
- type: map_at_100
|
| 1317 |
-
value: 74.82438594015447
|
| 1318 |
-
- type: map_at_1000
|
| 1319 |
-
value: 74.83420474892468
|
| 1320 |
-
- type: precision_at_1
|
| 1321 |
-
value: 66.0
|
| 1322 |
-
- type: precision_at_3
|
| 1323 |
-
value: 29.44444444444439
|
| 1324 |
-
- type: precision_at_5
|
| 1325 |
-
value: 19.40000000000008
|
| 1326 |
-
- type: precision_at_10
|
| 1327 |
-
value: 10.366666666666715
|
| 1328 |
-
- type: precision_at_100
|
| 1329 |
-
value: 1.0999999999999928
|
| 1330 |
-
- type: precision_at_1000
|
| 1331 |
-
value: 0.11200000000000007
|
| 1332 |
-
- type: recall_at_1
|
| 1333 |
-
value: 62.994444444444454
|
| 1334 |
-
- type: recall_at_3
|
| 1335 |
-
value: 80.89999999999998
|
| 1336 |
-
- type: recall_at_5
|
| 1337 |
-
value: 86.72777777777779
|
| 1338 |
-
- type: recall_at_10
|
| 1339 |
-
value: 91.88888888888887
|
| 1340 |
-
- type: recall_at_100
|
| 1341 |
-
value: 97.0
|
| 1342 |
-
- type: recall_at_1000
|
| 1343 |
-
value: 99.0
|
| 1344 |
-
- task:
|
| 1345 |
-
type: Retrieval
|
| 1346 |
-
dataset:
|
| 1347 |
-
type: trec-covid
|
| 1348 |
-
name: MTEB TRECCOVID
|
| 1349 |
-
config: default
|
| 1350 |
-
split: test
|
| 1351 |
-
revision: None
|
| 1352 |
-
metrics:
|
| 1353 |
-
- type: ndcg_at_1
|
| 1354 |
-
value: 83.0
|
| 1355 |
-
- type: ndcg_at_3
|
| 1356 |
-
value: 79.86598407528447
|
| 1357 |
-
- type: ndcg_at_5
|
| 1358 |
-
value: 79.27684428714952
|
| 1359 |
-
- type: ndcg_at_10
|
| 1360 |
-
value: 79.07987651251462
|
| 1361 |
-
- type: ndcg_at_100
|
| 1362 |
-
value: 64.55029164391163
|
| 1363 |
-
- type: ndcg_at_1000
|
| 1364 |
-
value: 59.42333857860492
|
| 1365 |
-
- type: map_at_1
|
| 1366 |
-
value: 0.226053732680979
|
| 1367 |
-
- type: map_at_3
|
| 1368 |
-
value: 0.644034626013194
|
| 1369 |
-
- type: map_at_5
|
| 1370 |
-
value: 1.045196967937728
|
| 1371 |
-
- type: map_at_10
|
| 1372 |
-
value: 2.0197496659905085
|
| 1373 |
-
- type: map_at_100
|
| 1374 |
-
value: 13.316018005224159
|
| 1375 |
-
- type: map_at_1000
|
| 1376 |
-
value: 33.784766957424104
|
| 1377 |
-
- type: precision_at_1
|
| 1378 |
-
value: 88.0
|
| 1379 |
-
- type: precision_at_3
|
| 1380 |
-
value: 86.66666666666667
|
| 1381 |
-
- type: precision_at_5
|
| 1382 |
-
value: 85.20000000000002
|
| 1383 |
-
- type: precision_at_10
|
| 1384 |
-
value: 84.19999999999997
|
| 1385 |
-
- type: precision_at_100
|
| 1386 |
-
value: 67.88000000000001
|
| 1387 |
-
- type: precision_at_1000
|
| 1388 |
-
value: 26.573999999999998
|
| 1389 |
-
- type: recall_at_1
|
| 1390 |
-
value: 0.226053732680979
|
| 1391 |
-
- type: recall_at_3
|
| 1392 |
-
value: 0.6754273711472734
|
| 1393 |
-
- type: recall_at_5
|
| 1394 |
-
value: 1.1168649828059245
|
| 1395 |
-
- type: recall_at_10
|
| 1396 |
-
value: 2.2215081031265207
|
| 1397 |
-
- type: recall_at_100
|
| 1398 |
-
value: 16.694165236664727
|
| 1399 |
-
- type: recall_at_1000
|
| 1400 |
-
value: 56.7022214857503
|
| 1401 |
-
- task:
|
| 1402 |
-
type: Retrieval
|
| 1403 |
-
dataset:
|
| 1404 |
-
type: climate-fever
|
| 1405 |
-
name: MTEB ClimateFEVER
|
| 1406 |
-
config: default
|
| 1407 |
-
split: test
|
| 1408 |
-
revision: None
|
| 1409 |
-
metrics:
|
| 1410 |
-
- type: ndcg_at_1
|
| 1411 |
-
value: 44.36482084690554
|
| 1412 |
-
- type: ndcg_at_3
|
| 1413 |
-
value: 38.13005747178844
|
| 1414 |
-
- type: ndcg_at_5
|
| 1415 |
-
value: 40.83474510717123
|
| 1416 |
-
- type: ndcg_at_10
|
| 1417 |
-
value: 45.4272998284769
|
| 1418 |
-
- type: ndcg_at_100
|
| 1419 |
-
value: 52.880220707479516
|
| 1420 |
-
- type: ndcg_at_1000
|
| 1421 |
-
value: 55.364753427333
|
| 1422 |
-
- type: map_at_1
|
| 1423 |
-
value: 19.200868621064064
|
| 1424 |
-
- type: map_at_3
|
| 1425 |
-
value: 28.33785740137525
|
| 1426 |
-
- type: map_at_5
|
| 1427 |
-
value: 31.67162504524064
|
| 1428 |
-
- type: map_at_10
|
| 1429 |
-
value: 34.417673164090075
|
| 1430 |
-
- type: map_at_100
|
| 1431 |
-
value: 36.744753097028976
|
| 1432 |
-
- type: map_at_1000
|
| 1433 |
-
value: 36.91262189016135
|
| 1434 |
-
- type: precision_at_1
|
| 1435 |
-
value: 44.36482084690554
|
| 1436 |
-
- type: precision_at_3
|
| 1437 |
-
value: 29.14223669923975
|
| 1438 |
-
- type: precision_at_5
|
| 1439 |
-
value: 22.410423452768388
|
| 1440 |
-
- type: precision_at_10
|
| 1441 |
-
value: 14.293159609120309
|
| 1442 |
-
- type: precision_at_100
|
| 1443 |
-
value: 2.248859934853431
|
| 1444 |
-
- type: precision_at_1000
|
| 1445 |
-
value: 0.2722475570032542
|
| 1446 |
-
- type: recall_at_1
|
| 1447 |
-
value: 19.200868621064064
|
| 1448 |
-
- type: recall_at_3
|
| 1449 |
-
value: 34.132464712269176
|
| 1450 |
-
- type: recall_at_5
|
| 1451 |
-
value: 42.35613463626491
|
| 1452 |
-
- type: recall_at_10
|
| 1453 |
-
value: 52.50814332247546
|
| 1454 |
-
- type: recall_at_100
|
| 1455 |
-
value: 77.16178067318128
|
| 1456 |
-
- type: recall_at_1000
|
| 1457 |
-
value: 90.59174809989138
|
| 1458 |
-
- task:
|
| 1459 |
-
type: Retrieval
|
| 1460 |
-
dataset:
|
| 1461 |
-
type: hotpotqa
|
| 1462 |
-
name: MTEB HotpotQA
|
| 1463 |
-
config: default
|
| 1464 |
-
split: test
|
| 1465 |
-
revision: None
|
| 1466 |
-
metrics:
|
| 1467 |
-
- type: ndcg_at_1
|
| 1468 |
-
value: 89.9392302498312
|
| 1469 |
-
- type: ndcg_at_3
|
| 1470 |
-
value: 81.2061569376288
|
| 1471 |
-
- type: ndcg_at_5
|
| 1472 |
-
value: 83.53311592078133
|
| 1473 |
-
- type: ndcg_at_10
|
| 1474 |
-
value: 85.13780800141961
|
| 1475 |
-
- type: ndcg_at_100
|
| 1476 |
-
value: 87.02630661625386
|
| 1477 |
-
- type: ndcg_at_1000
|
| 1478 |
-
value: 87.47294723601075
|
| 1479 |
-
- type: map_at_1
|
| 1480 |
-
value: 44.9696151249156
|
| 1481 |
-
- type: map_at_3
|
| 1482 |
-
value: 76.46972766148966
|
| 1483 |
-
- type: map_at_5
|
| 1484 |
-
value: 78.47749268512187
|
| 1485 |
-
- type: map_at_10
|
| 1486 |
-
value: 79.49792611170005
|
| 1487 |
-
- type: map_at_100
|
| 1488 |
-
value: 80.09409086274644
|
| 1489 |
-
- type: map_at_1000
|
| 1490 |
-
value: 80.11950878917663
|
| 1491 |
-
- type: precision_at_1
|
| 1492 |
-
value: 89.9392302498312
|
| 1493 |
-
- type: precision_at_3
|
| 1494 |
-
value: 53.261309925724234
|
| 1495 |
-
- type: precision_at_5
|
| 1496 |
-
value: 33.79338284942924
|
| 1497 |
-
- type: precision_at_10
|
| 1498 |
-
value: 17.69750168805041
|
| 1499 |
-
- type: precision_at_100
|
| 1500 |
-
value: 1.9141120864280805
|
| 1501 |
-
- type: precision_at_1000
|
| 1502 |
-
value: 0.19721809588118133
|
| 1503 |
-
- type: recall_at_1
|
| 1504 |
-
value: 44.9696151249156
|
| 1505 |
-
- type: recall_at_3
|
| 1506 |
-
value: 79.8919648885888
|
| 1507 |
-
- type: recall_at_5
|
| 1508 |
-
value: 84.48345712356516
|
| 1509 |
-
- type: recall_at_10
|
| 1510 |
-
value: 88.48750844024308
|
| 1511 |
-
- type: recall_at_100
|
| 1512 |
-
value: 95.70560432140446
|
| 1513 |
-
- type: recall_at_1000
|
| 1514 |
-
value: 98.60904794058068
|
| 1515 |
-
- task:
|
| 1516 |
-
type: Retrieval
|
| 1517 |
-
dataset:
|
| 1518 |
-
type: nq
|
| 1519 |
-
name: MTEB NQ
|
| 1520 |
-
config: default
|
| 1521 |
-
split: test
|
| 1522 |
-
revision: None
|
| 1523 |
-
metrics:
|
| 1524 |
-
- type: ndcg_at_1
|
| 1525 |
-
value: 57.0683661645423
|
| 1526 |
-
- type: ndcg_at_3
|
| 1527 |
-
value: 67.89935813080585
|
| 1528 |
-
- type: ndcg_at_5
|
| 1529 |
-
value: 71.47769719452941
|
| 1530 |
-
- type: ndcg_at_10
|
| 1531 |
-
value: 73.88350836507092
|
| 1532 |
-
- type: ndcg_at_100
|
| 1533 |
-
value: 75.76561068060907
|
| 1534 |
-
- type: ndcg_at_1000
|
| 1535 |
-
value: 75.92437662684215
|
| 1536 |
-
- type: map_at_1
|
| 1537 |
-
value: 51.00424874468904
|
| 1538 |
-
- type: map_at_3
|
| 1539 |
-
value: 63.87359984550011
|
| 1540 |
-
- type: map_at_5
|
| 1541 |
-
value: 66.23696407879494
|
| 1542 |
-
- type: map_at_10
|
| 1543 |
-
value: 67.42415446608673
|
| 1544 |
-
- type: map_at_100
|
| 1545 |
-
value: 67.92692839842621
|
| 1546 |
-
- type: map_at_1000
|
| 1547 |
-
value: 67.93437922640133
|
| 1548 |
-
- type: precision_at_1
|
| 1549 |
-
value: 57.0683661645423
|
| 1550 |
-
- type: precision_at_3
|
| 1551 |
-
value: 29.692931633836416
|
| 1552 |
-
- type: precision_at_5
|
| 1553 |
-
value: 20.046349942062854
|
| 1554 |
-
- type: precision_at_10
|
| 1555 |
-
value: 10.950173812283
|
| 1556 |
-
- type: precision_at_100
|
| 1557 |
-
value: 1.1995944380069687
|
| 1558 |
-
- type: precision_at_1000
|
| 1559 |
-
value: 0.12146581691772171
|
| 1560 |
-
- type: recall_at_1
|
| 1561 |
-
value: 51.00424874468904
|
| 1562 |
-
- type: recall_at_3
|
| 1563 |
-
value: 75.93665507918116
|
| 1564 |
-
- type: recall_at_5
|
| 1565 |
-
value: 83.95133256083433
|
| 1566 |
-
- type: recall_at_10
|
| 1567 |
-
value: 90.78794901506375
|
| 1568 |
-
- type: recall_at_100
|
| 1569 |
-
value: 98.61915797605253
|
| 1570 |
-
- type: recall_at_1000
|
| 1571 |
-
value: 99.7827346465817
|
| 1572 |
-
- task:
|
| 1573 |
-
type: Retrieval
|
| 1574 |
-
dataset:
|
| 1575 |
-
type: quora
|
| 1576 |
-
name: MTEB QuoraRetrieval
|
| 1577 |
-
config: default
|
| 1578 |
-
split: test
|
| 1579 |
-
revision: None
|
| 1580 |
-
metrics:
|
| 1581 |
-
- type: ndcg_at_1
|
| 1582 |
-
value: 84.61999999999999
|
| 1583 |
-
- type: ndcg_at_3
|
| 1584 |
-
value: 88.57366734033212
|
| 1585 |
-
- type: ndcg_at_5
|
| 1586 |
-
value: 89.89804048972175
|
| 1587 |
-
- type: ndcg_at_10
|
| 1588 |
-
value: 90.95410848372035
|
| 1589 |
-
- type: ndcg_at_100
|
| 1590 |
-
value: 91.83227134455773
|
| 1591 |
-
- type: ndcg_at_1000
|
| 1592 |
-
value: 91.88368412611601
|
| 1593 |
-
- type: map_at_1
|
| 1594 |
-
value: 73.4670089207039
|
| 1595 |
-
- type: map_at_3
|
| 1596 |
-
value: 84.87862925508942
|
| 1597 |
-
- type: map_at_5
|
| 1598 |
-
value: 86.68002324701408
|
| 1599 |
-
- type: map_at_10
|
| 1600 |
-
value: 87.7165466015312
|
| 1601 |
-
- type: map_at_100
|
| 1602 |
-
value: 88.28718809614146
|
| 1603 |
-
- type: map_at_1000
|
| 1604 |
-
value: 88.29877148480672
|
| 1605 |
-
- type: precision_at_1
|
| 1606 |
-
value: 84.61999999999999
|
| 1607 |
-
- type: precision_at_3
|
| 1608 |
-
value: 38.82333333333838
|
| 1609 |
-
- type: precision_at_5
|
| 1610 |
-
value: 25.423999999998642
|
| 1611 |
-
- type: precision_at_10
|
| 1612 |
-
value: 13.787999999998583
|
| 1613 |
-
- type: precision_at_100
|
| 1614 |
-
value: 1.5442999999999767
|
| 1615 |
-
- type: precision_at_1000
|
| 1616 |
-
value: 0.15672999999997972
|
| 1617 |
-
- type: recall_at_1
|
| 1618 |
-
value: 73.4670089207039
|
| 1619 |
-
- type: recall_at_3
|
| 1620 |
-
value: 89.98389854832143
|
| 1621 |
-
- type: recall_at_5
|
| 1622 |
-
value: 93.88541046010576
|
| 1623 |
-
- type: recall_at_10
|
| 1624 |
-
value: 96.99779417520634
|
| 1625 |
-
- type: recall_at_100
|
| 1626 |
-
value: 99.80318763957743
|
| 1627 |
-
- type: recall_at_1000
|
| 1628 |
-
value: 99.99638888888889
|
| 1629 |
-
- task:
|
| 1630 |
-
type: Retrieval
|
| 1631 |
-
dataset:
|
| 1632 |
-
type: webis-touche2020
|
| 1633 |
-
name: MTEB Touche2020
|
| 1634 |
-
config: default
|
| 1635 |
-
split: test
|
| 1636 |
-
revision: None
|
| 1637 |
-
metrics:
|
| 1638 |
-
- type: ndcg_at_1
|
| 1639 |
-
value: 33.6734693877551
|
| 1640 |
-
- type: ndcg_at_3
|
| 1641 |
-
value: 34.36843900446739
|
| 1642 |
-
- type: ndcg_at_5
|
| 1643 |
-
value: 32.21323786731918
|
| 1644 |
-
- type: ndcg_at_10
|
| 1645 |
-
value: 30.47934263207554
|
| 1646 |
-
- type: ndcg_at_100
|
| 1647 |
-
value: 41.49598869753928
|
| 1648 |
-
- type: ndcg_at_1000
|
| 1649 |
-
value: 52.32963949183662
|
| 1650 |
-
- type: map_at_1
|
| 1651 |
-
value: 3.0159801678718168
|
| 1652 |
-
- type: map_at_3
|
| 1653 |
-
value: 7.13837927642557
|
| 1654 |
-
- type: map_at_5
|
| 1655 |
-
value: 9.274004610363466
|
| 1656 |
-
- type: map_at_10
|
| 1657 |
-
value: 12.957368366814324
|
| 1658 |
-
- type: map_at_100
|
| 1659 |
-
value: 19.3070585127604
|
| 1660 |
-
- type: map_at_1000
|
| 1661 |
-
value: 20.809777161133532
|
| 1662 |
-
- type: precision_at_1
|
| 1663 |
-
value: 34.69387755102041
|
| 1664 |
-
- type: precision_at_3
|
| 1665 |
-
value: 36.054421768707485
|
| 1666 |
-
- type: precision_at_5
|
| 1667 |
-
value: 32.24489795918368
|
| 1668 |
-
- type: precision_at_10
|
| 1669 |
-
value: 27.142857142857146
|
| 1670 |
-
- type: precision_at_100
|
| 1671 |
-
value: 8.326530612244898
|
| 1672 |
-
- type: precision_at_1000
|
| 1673 |
-
value: 1.5755102040816336
|
| 1674 |
-
- type: recall_at_1
|
| 1675 |
-
value: 3.0159801678718168
|
| 1676 |
-
- type: recall_at_3
|
| 1677 |
-
value: 8.321771388428257
|
| 1678 |
-
- type: recall_at_5
|
| 1679 |
-
value: 11.737532394366069
|
| 1680 |
-
- type: recall_at_10
|
| 1681 |
-
value: 19.49315139822179
|
| 1682 |
-
- type: recall_at_100
|
| 1683 |
-
value: 50.937064145519685
|
| 1684 |
-
- type: recall_at_1000
|
| 1685 |
-
value: 83.4358283484675
|
| 1686 |
-
- task:
|
| 1687 |
-
type: Retrieval
|
| 1688 |
-
dataset:
|
| 1689 |
-
type: dbpedia-entity
|
| 1690 |
-
name: MTEB DBPedia
|
| 1691 |
-
config: default
|
| 1692 |
-
split: test
|
| 1693 |
-
revision: None
|
| 1694 |
-
metrics:
|
| 1695 |
-
- type: ndcg_at_1
|
| 1696 |
-
value: 64.375
|
| 1697 |
-
- type: ndcg_at_3
|
| 1698 |
-
value: 55.677549598242614
|
| 1699 |
-
- type: ndcg_at_5
|
| 1700 |
-
value: 53.44347199908503
|
| 1701 |
-
- type: ndcg_at_10
|
| 1702 |
-
value: 51.634197691802754
|
| 1703 |
-
- type: ndcg_at_100
|
| 1704 |
-
value: 56.202861267183415
|
| 1705 |
-
- type: ndcg_at_1000
|
| 1706 |
-
value: 63.146019108272576
|
| 1707 |
-
- type: map_at_1
|
| 1708 |
-
value: 9.789380503780919
|
| 1709 |
-
- type: map_at_3
|
| 1710 |
-
value: 16.146582195277016
|
| 1711 |
-
- type: map_at_5
|
| 1712 |
-
value: 19.469695222167193
|
| 1713 |
-
- type: map_at_10
|
| 1714 |
-
value: 24.163327344766145
|
| 1715 |
-
- type: map_at_100
|
| 1716 |
-
value: 35.47047690245571
|
| 1717 |
-
- type: map_at_1000
|
| 1718 |
-
value: 37.5147432331838
|
| 1719 |
-
- type: precision_at_1
|
| 1720 |
-
value: 76.25
|
| 1721 |
-
- type: precision_at_3
|
| 1722 |
-
value: 59.08333333333333
|
| 1723 |
-
- type: precision_at_5
|
| 1724 |
-
value: 52.24999999999997
|
| 1725 |
-
- type: precision_at_10
|
| 1726 |
-
value: 42.54999999999994
|
| 1727 |
-
- type: precision_at_100
|
| 1728 |
-
value: 13.460000000000008
|
| 1729 |
-
- type: precision_at_1000
|
| 1730 |
-
value: 2.4804999999999966
|
| 1731 |
-
- type: recall_at_1
|
| 1732 |
-
value: 9.789380503780919
|
| 1733 |
-
- type: recall_at_3
|
| 1734 |
-
value: 17.48487134027656
|
| 1735 |
-
- type: recall_at_5
|
| 1736 |
-
value: 22.312024269698806
|
| 1737 |
-
- type: recall_at_10
|
| 1738 |
-
value: 30.305380335237324
|
| 1739 |
-
- type: recall_at_100
|
| 1740 |
-
value: 62.172868946596424
|
| 1741 |
-
- type: recall_at_1000
|
| 1742 |
-
value: 85.32410301328747
|
| 1743 |
-
- task:
|
| 1744 |
-
type: Retrieval
|
| 1745 |
-
dataset:
|
| 1746 |
-
type: BeIR/cqadupstack
|
| 1747 |
-
name: MTEB CQADupstackPhysicsRetrieval
|
| 1748 |
-
config: default
|
| 1749 |
-
split: test
|
| 1750 |
-
revision: None
|
| 1751 |
-
metrics:
|
| 1752 |
-
- type: ndcg_at_1
|
| 1753 |
-
value: 42.15591915303176
|
| 1754 |
-
- type: ndcg_at_3
|
| 1755 |
-
value: 48.15261407846446
|
| 1756 |
-
- type: ndcg_at_5
|
| 1757 |
-
value: 50.58031819816491
|
| 1758 |
-
- type: ndcg_at_10
|
| 1759 |
-
value: 53.159393156983015
|
| 1760 |
-
- type: ndcg_at_100
|
| 1761 |
-
value: 58.64024684800366
|
| 1762 |
-
- type: ndcg_at_1000
|
| 1763 |
-
value: 60.017254762428166
|
| 1764 |
-
- type: map_at_1
|
| 1765 |
-
value: 34.78577058702179
|
| 1766 |
-
- type: map_at_3
|
| 1767 |
-
value: 43.52147299813321
|
| 1768 |
-
- type: map_at_5
|
| 1769 |
-
value: 45.47857625732981
|
| 1770 |
-
- type: map_at_10
|
| 1771 |
-
value: 46.94467579029768
|
| 1772 |
-
- type: map_at_100
|
| 1773 |
-
value: 48.364473257035456
|
| 1774 |
-
- type: map_at_1000
|
| 1775 |
-
value: 48.460199893487435
|
| 1776 |
-
- type: precision_at_1
|
| 1777 |
-
value: 42.15591915303176
|
| 1778 |
-
- type: precision_at_3
|
| 1779 |
-
value: 22.842476740455762
|
| 1780 |
-
- type: precision_at_5
|
| 1781 |
-
value: 16.073147256977784
|
| 1782 |
-
- type: precision_at_10
|
| 1783 |
-
value: 9.566891241578338
|
| 1784 |
-
- type: precision_at_100
|
| 1785 |
-
value: 1.441770933589971
|
| 1786 |
-
- type: precision_at_1000
|
| 1787 |
-
value: 0.17045235803656864
|
| 1788 |
-
- type: recall_at_1
|
| 1789 |
-
value: 34.78577058702179
|
| 1790 |
-
- type: recall_at_3
|
| 1791 |
-
value: 51.705004026948195
|
| 1792 |
-
- type: recall_at_5
|
| 1793 |
-
value: 57.99470738835514
|
| 1794 |
-
- type: recall_at_10
|
| 1795 |
-
value: 65.73761786225693
|
| 1796 |
-
- type: recall_at_100
|
| 1797 |
-
value: 88.03733579833336
|
| 1798 |
-
- type: recall_at_1000
|
| 1799 |
-
value: 96.505175424102
|
| 1800 |
-
- task:
|
| 1801 |
-
type: Retrieval
|
| 1802 |
-
dataset:
|
| 1803 |
-
type: BeIR/cqadupstack
|
| 1804 |
-
name: MTEB CQADupstackStatsRetrieval
|
| 1805 |
-
config: default
|
| 1806 |
-
split: test
|
| 1807 |
-
revision: None
|
| 1808 |
-
metrics:
|
| 1809 |
-
- type: ndcg_at_1
|
| 1810 |
-
value: 30.061349693251532
|
| 1811 |
-
- type: ndcg_at_3
|
| 1812 |
-
value: 36.63708916157646
|
| 1813 |
-
- type: ndcg_at_5
|
| 1814 |
-
value: 38.61671491681753
|
| 1815 |
-
- type: ndcg_at_10
|
| 1816 |
-
value: 41.350655796840066
|
| 1817 |
-
- type: ndcg_at_100
|
| 1818 |
-
value: 46.45326227358081
|
| 1819 |
-
- type: ndcg_at_1000
|
| 1820 |
-
value: 48.582285457159266
|
| 1821 |
-
- type: map_at_1
|
| 1822 |
-
value: 26.9244205862304
|
| 1823 |
-
- type: map_at_3
|
| 1824 |
-
value: 33.585406725744164
|
| 1825 |
-
- type: map_at_5
|
| 1826 |
-
value: 34.91193310921073
|
| 1827 |
-
- type: map_at_10
|
| 1828 |
-
value: 36.15920645617732
|
| 1829 |
-
- type: map_at_100
|
| 1830 |
-
value: 37.25917602757753
|
| 1831 |
-
- type: map_at_1000
|
| 1832 |
-
value: 37.35543998586382
|
| 1833 |
-
- type: precision_at_1
|
| 1834 |
-
value: 30.061349693251532
|
| 1835 |
-
- type: precision_at_3
|
| 1836 |
-
value: 16.002044989775
|
| 1837 |
-
- type: precision_at_5
|
| 1838 |
-
value: 11.012269938650379
|
| 1839 |
-
- type: precision_at_10
|
| 1840 |
-
value: 6.625766871165693
|
| 1841 |
-
- type: precision_at_100
|
| 1842 |
-
value: 1.0015337423312758
|
| 1843 |
-
- type: precision_at_1000
|
| 1844 |
-
value: 0.12638036809815958
|
| 1845 |
-
- type: recall_at_1
|
| 1846 |
-
value: 26.9244205862304
|
| 1847 |
-
- type: recall_at_3
|
| 1848 |
-
value: 40.92407975460122
|
| 1849 |
-
- type: recall_at_5
|
| 1850 |
-
value: 45.74576284315548
|
| 1851 |
-
- type: recall_at_10
|
| 1852 |
-
value: 54.04032657867014
|
| 1853 |
-
- type: recall_at_100
|
| 1854 |
-
value: 76.89573533447586
|
| 1855 |
-
- type: recall_at_1000
|
| 1856 |
-
value: 92.10000029943193
|
| 1857 |
-
- task:
|
| 1858 |
-
type: Retrieval
|
| 1859 |
-
dataset:
|
| 1860 |
-
type: BeIR/cqadupstack
|
| 1861 |
-
name: MTEB CQADupstackWebmastersRetrieval
|
| 1862 |
-
config: default
|
| 1863 |
-
split: test
|
| 1864 |
-
revision: None
|
| 1865 |
-
metrics:
|
| 1866 |
-
- type: ndcg_at_1
|
| 1867 |
-
value: 36.16600790513834
|
| 1868 |
-
- type: ndcg_at_3
|
| 1869 |
-
value: 41.39539336351464
|
| 1870 |
-
- type: ndcg_at_5
|
| 1871 |
-
value: 44.286188181817465
|
| 1872 |
-
- type: ndcg_at_10
|
| 1873 |
-
value: 46.8079293900759
|
| 1874 |
-
- type: ndcg_at_100
|
| 1875 |
-
value: 52.77618002686582
|
| 1876 |
-
- type: ndcg_at_1000
|
| 1877 |
-
value: 54.74554787022661
|
| 1878 |
-
- type: map_at_1
|
| 1879 |
-
value: 29.947644735902585
|
| 1880 |
-
- type: map_at_3
|
| 1881 |
-
value: 36.84394907359118
|
| 1882 |
-
- type: map_at_5
|
| 1883 |
-
value: 38.9461665221235
|
| 1884 |
-
- type: map_at_10
|
| 1885 |
-
value: 40.38325122041743
|
| 1886 |
-
- type: map_at_100
|
| 1887 |
-
value: 42.15067269020822
|
| 1888 |
-
- type: map_at_1000
|
| 1889 |
-
value: 42.396412886053454
|
| 1890 |
-
- type: precision_at_1
|
| 1891 |
-
value: 36.16600790513834
|
| 1892 |
-
- type: precision_at_3
|
| 1893 |
-
value: 19.23583662714091
|
| 1894 |
-
- type: precision_at_5
|
| 1895 |
-
value: 14.268774703557394
|
| 1896 |
-
- type: precision_at_10
|
| 1897 |
-
value: 9.071146245059353
|
| 1898 |
-
- type: precision_at_100
|
| 1899 |
-
value: 1.7905138339920774
|
| 1900 |
-
- type: precision_at_1000
|
| 1901 |
-
value: 0.2537549407114581
|
| 1902 |
-
- type: recall_at_1
|
| 1903 |
-
value: 29.947644735902585
|
| 1904 |
-
- type: recall_at_3
|
| 1905 |
-
value: 43.95135576014935
|
| 1906 |
-
- type: recall_at_5
|
| 1907 |
-
value: 51.33413524177249
|
| 1908 |
-
- type: recall_at_10
|
| 1909 |
-
value: 58.597439631665615
|
| 1910 |
-
- type: recall_at_100
|
| 1911 |
-
value: 85.04925879936505
|
| 1912 |
-
- type: recall_at_1000
|
| 1913 |
-
value: 96.93189262162947
|
| 1914 |
-
- task:
|
| 1915 |
-
type: Retrieval
|
| 1916 |
-
dataset:
|
| 1917 |
-
type: BeIR/cqadupstack
|
| 1918 |
-
name: MTEB CQADupstackWordpressRetrieval
|
| 1919 |
-
config: default
|
| 1920 |
-
split: test
|
| 1921 |
-
revision: None
|
| 1922 |
-
metrics:
|
| 1923 |
-
- type: ndcg_at_1
|
| 1924 |
-
value: 26.247689463955638
|
| 1925 |
-
- type: ndcg_at_3
|
| 1926 |
-
value: 33.25421096011386
|
| 1927 |
-
- type: ndcg_at_5
|
| 1928 |
-
value: 35.274958043979055
|
| 1929 |
-
- type: ndcg_at_10
|
| 1930 |
-
value: 37.895337114228504
|
| 1931 |
-
- type: ndcg_at_100
|
| 1932 |
-
value: 43.16359215810417
|
| 1933 |
-
- type: ndcg_at_1000
|
| 1934 |
-
value: 45.46544464874392
|
| 1935 |
-
- type: map_at_1
|
| 1936 |
-
value: 23.730646155069266
|
| 1937 |
-
- type: map_at_3
|
| 1938 |
-
value: 30.328510192859376
|
| 1939 |
-
- type: map_at_5
|
| 1940 |
-
value: 31.646131881091033
|
| 1941 |
-
- type: map_at_10
|
| 1942 |
-
value: 32.834529811633146
|
| 1943 |
-
- type: map_at_100
|
| 1944 |
-
value: 33.887475191512124
|
| 1945 |
-
- type: map_at_1000
|
| 1946 |
-
value: 33.98635376333761
|
| 1947 |
-
- type: precision_at_1
|
| 1948 |
-
value: 26.247689463955638
|
| 1949 |
-
- type: precision_at_3
|
| 1950 |
-
value: 14.417744916820693
|
| 1951 |
-
- type: precision_at_5
|
| 1952 |
-
value: 10.018484288354932
|
| 1953 |
-
- type: precision_at_10
|
| 1954 |
-
value: 6.00739371534199
|
| 1955 |
-
- type: precision_at_100
|
| 1956 |
-
value: 0.9426987060998051
|
| 1957 |
-
- type: precision_at_1000
|
| 1958 |
-
value: 0.12476894639556387
|
| 1959 |
-
- type: recall_at_1
|
| 1960 |
-
value: 23.730646155069266
|
| 1961 |
-
- type: recall_at_3
|
| 1962 |
-
value: 38.561206845149364
|
| 1963 |
-
- type: recall_at_5
|
| 1964 |
-
value: 43.38560610577783
|
| 1965 |
-
- type: recall_at_10
|
| 1966 |
-
value: 51.21370222407728
|
| 1967 |
-
- type: recall_at_100
|
| 1968 |
-
value: 75.61661144095109
|
| 1969 |
-
- type: recall_at_1000
|
| 1970 |
-
value: 92.54472715089256
|
| 1971 |
-
- task:
|
| 1972 |
-
type: Retrieval
|
| 1973 |
-
dataset:
|
| 1974 |
-
type: BeIR/cqadupstack
|
| 1975 |
-
name: MTEB CQADupstackProgrammersRetrieval
|
| 1976 |
-
config: default
|
| 1977 |
-
split: test
|
| 1978 |
-
revision: None
|
| 1979 |
-
metrics:
|
| 1980 |
-
- type: ndcg_at_1
|
| 1981 |
-
value: 38.81278538812785
|
| 1982 |
-
- type: ndcg_at_3
|
| 1983 |
-
value: 43.78338523503654
|
| 1984 |
-
- type: ndcg_at_5
|
| 1985 |
-
value: 47.097296563014325
|
| 1986 |
-
- type: ndcg_at_10
|
| 1987 |
-
value: 50.282579667519435
|
| 1988 |
-
- type: ndcg_at_100
|
| 1989 |
-
value: 55.729033960190286
|
| 1990 |
-
- type: ndcg_at_1000
|
| 1991 |
-
value: 57.33724814332862
|
| 1992 |
-
- type: map_at_1
|
| 1993 |
-
value: 31.69764033847938
|
| 1994 |
-
- type: map_at_3
|
| 1995 |
-
value: 39.42951244122387
|
| 1996 |
-
- type: map_at_5
|
| 1997 |
-
value: 41.943723140417774
|
| 1998 |
-
- type: map_at_10
|
| 1999 |
-
value: 43.61013816936983
|
| 2000 |
-
- type: map_at_100
|
| 2001 |
-
value: 45.02590557151775
|
| 2002 |
-
- type: map_at_1000
|
| 2003 |
-
value: 45.125950171245066
|
| 2004 |
-
- type: precision_at_1
|
| 2005 |
-
value: 38.81278538812785
|
| 2006 |
-
- type: precision_at_3
|
| 2007 |
-
value: 20.96651445966523
|
| 2008 |
-
- type: precision_at_5
|
| 2009 |
-
value: 15.388127853881361
|
| 2010 |
-
- type: precision_at_10
|
| 2011 |
-
value: 9.474885844748805
|
| 2012 |
-
- type: precision_at_100
|
| 2013 |
-
value: 1.400684931506831
|
| 2014 |
-
- type: precision_at_1000
|
| 2015 |
-
value: 0.17191780821917388
|
| 2016 |
-
- type: recall_at_1
|
| 2017 |
-
value: 31.69764033847938
|
| 2018 |
-
- type: recall_at_3
|
| 2019 |
-
value: 46.60687843152849
|
| 2020 |
-
- type: recall_at_5
|
| 2021 |
-
value: 55.17297638322793
|
| 2022 |
-
- type: recall_at_10
|
| 2023 |
-
value: 64.45674471217188
|
| 2024 |
-
- type: recall_at_100
|
| 2025 |
-
value: 87.1937426751484
|
| 2026 |
-
- type: recall_at_1000
|
| 2027 |
-
value: 97.32787875629423
|
| 2028 |
-
- task:
|
| 2029 |
-
type: Retrieval
|
| 2030 |
-
dataset:
|
| 2031 |
-
type: BeIR/cqadupstack
|
| 2032 |
-
name: MTEB CQADupstackEnglishRetrieval
|
| 2033 |
-
config: default
|
| 2034 |
-
split: test
|
| 2035 |
-
revision: None
|
| 2036 |
-
metrics:
|
| 2037 |
-
- type: ndcg_at_1
|
| 2038 |
-
value: 45.22292993630573
|
| 2039 |
-
- type: ndcg_at_3
|
| 2040 |
-
value: 50.48933696278536
|
| 2041 |
-
- type: ndcg_at_5
|
| 2042 |
-
value: 52.51230339563936
|
| 2043 |
-
- type: ndcg_at_10
|
| 2044 |
-
value: 54.63834990956019
|
| 2045 |
-
- type: ndcg_at_100
|
| 2046 |
-
value: 58.4908966688059
|
| 2047 |
-
- type: ndcg_at_1000
|
| 2048 |
-
value: 60.25262455573039
|
| 2049 |
-
- type: map_at_1
|
| 2050 |
-
value: 36.14176917496391
|
| 2051 |
-
- type: map_at_3
|
| 2052 |
-
value: 45.293425362542706
|
| 2053 |
-
- type: map_at_5
|
| 2054 |
-
value: 47.228727919799
|
| 2055 |
-
- type: map_at_10
|
| 2056 |
-
value: 48.603664692804365
|
| 2057 |
-
- type: map_at_100
|
| 2058 |
-
value: 49.87291685915334
|
| 2059 |
-
- type: map_at_1000
|
| 2060 |
-
value: 49.99758620164822
|
| 2061 |
-
- type: precision_at_1
|
| 2062 |
-
value: 45.22292993630573
|
| 2063 |
-
- type: precision_at_3
|
| 2064 |
-
value: 24.607218683651517
|
| 2065 |
-
- type: precision_at_5
|
| 2066 |
-
value: 17.273885350318157
|
| 2067 |
-
- type: precision_at_10
|
| 2068 |
-
value: 10.401273885350104
|
| 2069 |
-
- type: precision_at_100
|
| 2070 |
-
value: 1.5840764331210677
|
| 2071 |
-
- type: precision_at_1000
|
| 2072 |
-
value: 0.20216560509553294
|
| 2073 |
-
- type: recall_at_1
|
| 2074 |
-
value: 36.14176917496391
|
| 2075 |
-
- type: recall_at_3
|
| 2076 |
-
value: 52.458133860965276
|
| 2077 |
-
- type: recall_at_5
|
| 2078 |
-
value: 58.30933220798927
|
| 2079 |
-
- type: recall_at_10
|
| 2080 |
-
value: 64.76267431694271
|
| 2081 |
-
- type: recall_at_100
|
| 2082 |
-
value: 81.11863633256955
|
| 2083 |
-
- type: recall_at_1000
|
| 2084 |
-
value: 91.95898877878803
|
| 2085 |
-
- task:
|
| 2086 |
-
type: Retrieval
|
| 2087 |
-
dataset:
|
| 2088 |
-
type: BeIR/cqadupstack
|
| 2089 |
-
name: MTEB CQADupstackMathematicaRetrieval
|
| 2090 |
-
config: default
|
| 2091 |
-
split: test
|
| 2092 |
-
revision: None
|
| 2093 |
-
metrics:
|
| 2094 |
-
- type: ndcg_at_1
|
| 2095 |
-
value: 25.37313432835821
|
| 2096 |
-
- type: ndcg_at_3
|
| 2097 |
-
value: 31.513955857649872
|
| 2098 |
-
- type: ndcg_at_5
|
| 2099 |
-
value: 33.894814999901286
|
| 2100 |
-
- type: ndcg_at_10
|
| 2101 |
-
value: 36.567795091777775
|
| 2102 |
-
- type: ndcg_at_100
|
| 2103 |
-
value: 42.692861355185926
|
| 2104 |
-
- type: ndcg_at_1000
|
| 2105 |
-
value: 45.1650634517594
|
| 2106 |
-
- type: map_at_1
|
| 2107 |
-
value: 20.137260127931768
|
| 2108 |
-
- type: map_at_3
|
| 2109 |
-
value: 27.513893824528164
|
| 2110 |
-
- type: map_at_5
|
| 2111 |
-
value: 29.228223959567245
|
| 2112 |
-
- type: map_at_10
|
| 2113 |
-
value: 30.486342453382235
|
| 2114 |
-
- type: map_at_100
|
| 2115 |
-
value: 31.93773531700923
|
| 2116 |
-
- type: map_at_1000
|
| 2117 |
-
value: 32.045221355885026
|
| 2118 |
-
- type: precision_at_1
|
| 2119 |
-
value: 25.37313432835821
|
| 2120 |
-
- type: precision_at_3
|
| 2121 |
-
value: 15.713101160862273
|
| 2122 |
-
- type: precision_at_5
|
| 2123 |
-
value: 11.218905472636896
|
| 2124 |
-
- type: precision_at_10
|
| 2125 |
-
value: 6.828358208955276
|
| 2126 |
-
- type: precision_at_100
|
| 2127 |
-
value: 1.1318407960198864
|
| 2128 |
-
- type: precision_at_1000
|
| 2129 |
-
value: 0.14776119402984852
|
| 2130 |
-
- type: recall_at_1
|
| 2131 |
-
value: 20.137260127931768
|
| 2132 |
-
- type: recall_at_3
|
| 2133 |
-
value: 35.516761430940534
|
| 2134 |
-
- type: recall_at_5
|
| 2135 |
-
value: 41.81044183842692
|
| 2136 |
-
- type: recall_at_10
|
| 2137 |
-
value: 49.84812658320122
|
| 2138 |
-
- type: recall_at_100
|
| 2139 |
-
value: 75.52224965471233
|
| 2140 |
-
- type: recall_at_1000
|
| 2141 |
-
value: 93.00114617278797
|
| 2142 |
-
- task:
|
| 2143 |
-
type: Retrieval
|
| 2144 |
-
dataset:
|
| 2145 |
-
type: BeIR/cqadupstack
|
| 2146 |
-
name: MTEB CQADupstackGamingRetrieval
|
| 2147 |
-
config: default
|
| 2148 |
-
split: test
|
| 2149 |
-
revision: None
|
| 2150 |
-
metrics:
|
| 2151 |
-
- type: ndcg_at_1
|
| 2152 |
-
value: 52.10031347962383
|
| 2153 |
-
- type: ndcg_at_3
|
| 2154 |
-
value: 59.09283306711919
|
| 2155 |
-
- type: ndcg_at_5
|
| 2156 |
-
value: 61.70364710499664
|
| 2157 |
-
- type: ndcg_at_10
|
| 2158 |
-
value: 64.43508234673456
|
| 2159 |
-
- type: ndcg_at_100
|
| 2160 |
-
value: 68.08258162359128
|
| 2161 |
-
- type: ndcg_at_1000
|
| 2162 |
-
value: 68.78220525177915
|
| 2163 |
-
- type: map_at_1
|
| 2164 |
-
value: 45.67593534991653
|
| 2165 |
-
- type: map_at_3
|
| 2166 |
-
value: 55.17968153498597
|
| 2167 |
-
- type: map_at_5
|
| 2168 |
-
value: 57.073161405223026
|
| 2169 |
-
- type: map_at_10
|
| 2170 |
-
value: 58.55427425972989
|
| 2171 |
-
- type: map_at_100
|
| 2172 |
-
value: 59.58877825514076
|
| 2173 |
-
- type: map_at_1000
|
| 2174 |
-
value: 59.62753156251917
|
| 2175 |
-
- type: precision_at_1
|
| 2176 |
-
value: 52.10031347962383
|
| 2177 |
-
- type: precision_at_3
|
| 2178 |
-
value: 25.95611285266423
|
| 2179 |
-
- type: precision_at_5
|
| 2180 |
-
value: 17.667711598745708
|
| 2181 |
-
- type: precision_at_10
|
| 2182 |
-
value: 10.169278996864973
|
| 2183 |
-
- type: precision_at_100
|
| 2184 |
-
value: 1.2852664576802733
|
| 2185 |
-
- type: precision_at_1000
|
| 2186 |
-
value: 0.13786833855798794
|
| 2187 |
-
- type: recall_at_1
|
| 2188 |
-
value: 45.67593534991653
|
| 2189 |
-
- type: recall_at_3
|
| 2190 |
-
value: 63.87786043907147
|
| 2191 |
-
- type: recall_at_5
|
| 2192 |
-
value: 70.25761057674107
|
| 2193 |
-
- type: recall_at_10
|
| 2194 |
-
value: 77.97283230161469
|
| 2195 |
-
- type: recall_at_100
|
| 2196 |
-
value: 93.12900411473255
|
| 2197 |
-
- type: recall_at_1000
|
| 2198 |
-
value: 97.98040752351098
|
| 2199 |
-
- task:
|
| 2200 |
-
type: Retrieval
|
| 2201 |
-
dataset:
|
| 2202 |
-
type: BeIR/cqadupstack
|
| 2203 |
-
name: MTEB CQADupstackGisRetrieval
|
| 2204 |
-
config: default
|
| 2205 |
-
split: test
|
| 2206 |
-
revision: None
|
| 2207 |
-
metrics:
|
| 2208 |
-
- type: ndcg_at_1
|
| 2209 |
-
value: 29.830508474576273
|
| 2210 |
-
- type: ndcg_at_3
|
| 2211 |
-
value: 36.43753958419226
|
| 2212 |
-
- type: ndcg_at_5
|
| 2213 |
-
value: 39.55362935996899
|
| 2214 |
-
- type: ndcg_at_10
|
| 2215 |
-
value: 43.11482816486947
|
| 2216 |
-
- type: ndcg_at_100
|
| 2217 |
-
value: 48.55701741086406
|
| 2218 |
-
- type: ndcg_at_1000
|
| 2219 |
-
value: 50.12437449225312
|
| 2220 |
-
- type: map_at_1
|
| 2221 |
-
value: 27.58676351896691
|
| 2222 |
-
- type: map_at_3
|
| 2223 |
-
value: 33.9831853645413
|
| 2224 |
-
- type: map_at_5
|
| 2225 |
-
value: 35.81743341404356
|
| 2226 |
-
- type: map_at_10
|
| 2227 |
-
value: 37.38087764923922
|
| 2228 |
-
- type: map_at_100
|
| 2229 |
-
value: 38.54334689204219
|
| 2230 |
-
- type: map_at_1000
|
| 2231 |
-
value: 38.60999368829795
|
| 2232 |
-
- type: precision_at_1
|
| 2233 |
-
value: 29.830508474576273
|
| 2234 |
-
- type: precision_at_3
|
| 2235 |
-
value: 15.21657250470804
|
| 2236 |
-
- type: precision_at_5
|
| 2237 |
-
value: 10.960451977401222
|
| 2238 |
-
- type: precision_at_10
|
| 2239 |
-
value: 6.779661016949213
|
| 2240 |
-
- type: precision_at_100
|
| 2241 |
-
value: 0.9977401129943356
|
| 2242 |
-
- type: precision_at_1000
|
| 2243 |
-
value: 0.11661016949152515
|
| 2244 |
-
- type: recall_at_1
|
| 2245 |
-
value: 27.58676351896691
|
| 2246 |
-
- type: recall_at_3
|
| 2247 |
-
value: 41.050040355125105
|
| 2248 |
-
- type: recall_at_5
|
| 2249 |
-
value: 48.356201237557165
|
| 2250 |
-
- type: recall_at_10
|
| 2251 |
-
value: 58.86871132633844
|
| 2252 |
-
- type: recall_at_100
|
| 2253 |
-
value: 83.44115081403217
|
| 2254 |
-
- type: recall_at_1000
|
| 2255 |
-
value: 95.14032985219426
|
| 2256 |
-
- task:
|
| 2257 |
-
type: Retrieval
|
| 2258 |
-
dataset:
|
| 2259 |
-
type: BeIR/cqadupstack
|
| 2260 |
-
name: MTEB CQADupstackUnixRetrieval
|
| 2261 |
-
config: default
|
| 2262 |
-
split: test
|
| 2263 |
-
revision: None
|
| 2264 |
-
metrics:
|
| 2265 |
-
- type: ndcg_at_1
|
| 2266 |
-
value: 37.77985074626866
|
| 2267 |
-
- type: ndcg_at_3
|
| 2268 |
-
value: 42.68906535122145
|
| 2269 |
-
- type: ndcg_at_5
|
| 2270 |
-
value: 45.42572671347988
|
| 2271 |
-
- type: ndcg_at_10
|
| 2272 |
-
value: 48.503281334563006
|
| 2273 |
-
- type: ndcg_at_100
|
| 2274 |
-
value: 53.90759554634032
|
| 2275 |
-
- type: ndcg_at_1000
|
| 2276 |
-
value: 55.6750143459022
|
| 2277 |
-
- type: map_at_1
|
| 2278 |
-
value: 32.05179459843639
|
| 2279 |
-
- type: map_at_3
|
| 2280 |
-
value: 39.174397111663886
|
| 2281 |
-
- type: map_at_5
|
| 2282 |
-
value: 41.09602758395897
|
| 2283 |
-
- type: map_at_10
|
| 2284 |
-
value: 42.57548284992813
|
| 2285 |
-
- type: map_at_100
|
| 2286 |
-
value: 43.88590856115191
|
| 2287 |
-
- type: map_at_1000
|
| 2288 |
-
value: 43.97573928697477
|
| 2289 |
-
- type: precision_at_1
|
| 2290 |
-
value: 37.77985074626866
|
| 2291 |
-
- type: precision_at_3
|
| 2292 |
-
value: 19.40298507462699
|
| 2293 |
-
- type: precision_at_5
|
| 2294 |
-
value: 13.768656716417915
|
| 2295 |
-
- type: precision_at_10
|
| 2296 |
-
value: 8.330223880596947
|
| 2297 |
-
- type: precision_at_100
|
| 2298 |
-
value: 1.2266791044775944
|
| 2299 |
-
- type: precision_at_1000
|
| 2300 |
-
value: 0.14860074626865238
|
| 2301 |
-
- type: recall_at_1
|
| 2302 |
-
value: 32.05179459843639
|
| 2303 |
-
- type: recall_at_3
|
| 2304 |
-
value: 46.19290082326463
|
| 2305 |
-
- type: recall_at_5
|
| 2306 |
-
value: 53.065248391740916
|
| 2307 |
-
- type: recall_at_10
|
| 2308 |
-
value: 61.95742612487016
|
| 2309 |
-
- type: recall_at_100
|
| 2310 |
-
value: 84.95720140659506
|
| 2311 |
-
- type: recall_at_1000
|
| 2312 |
-
value: 96.7945875641771
|
| 2313 |
-
- task:
|
| 2314 |
-
type: Retrieval
|
| 2315 |
-
dataset:
|
| 2316 |
-
type: BeIR/cqadupstack
|
| 2317 |
-
name: MTEB CQADupstackTexRetrieval
|
| 2318 |
-
config: default
|
| 2319 |
-
split: test
|
| 2320 |
-
revision: None
|
| 2321 |
-
metrics:
|
| 2322 |
-
- type: ndcg_at_1
|
| 2323 |
-
value: 24.36338609772884
|
| 2324 |
-
- type: ndcg_at_3
|
| 2325 |
-
value: 29.344263505458546
|
| 2326 |
-
- type: ndcg_at_5
|
| 2327 |
-
value: 31.648927411353355
|
| 2328 |
-
- type: ndcg_at_10
|
| 2329 |
-
value: 34.37718834167528
|
| 2330 |
-
- type: ndcg_at_100
|
| 2331 |
-
value: 39.988489670143565
|
| 2332 |
-
- type: ndcg_at_1000
|
| 2333 |
-
value: 42.59253219178224
|
| 2334 |
-
- type: map_at_1
|
| 2335 |
-
value: 20.102111701568827
|
| 2336 |
-
- type: map_at_3
|
| 2337 |
-
value: 26.034827870203504
|
| 2338 |
-
- type: map_at_5
|
| 2339 |
-
value: 27.635335063884625
|
| 2340 |
-
- type: map_at_10
|
| 2341 |
-
value: 28.955304300478456
|
| 2342 |
-
- type: map_at_100
|
| 2343 |
-
value: 30.17348927054766
|
| 2344 |
-
- type: map_at_1000
|
| 2345 |
-
value: 30.29821812881463
|
| 2346 |
-
- type: precision_at_1
|
| 2347 |
-
value: 24.36338609772884
|
| 2348 |
-
- type: precision_at_3
|
| 2349 |
-
value: 13.971094287680497
|
| 2350 |
-
- type: precision_at_5
|
| 2351 |
-
value: 10.178940123881386
|
| 2352 |
-
- type: precision_at_10
|
| 2353 |
-
value: 6.362697866482958
|
| 2354 |
-
- type: precision_at_100
|
| 2355 |
-
value: 1.0784583620096873
|
| 2356 |
-
- type: precision_at_1000
|
| 2357 |
-
value: 0.14810736407432443
|
| 2358 |
-
- type: recall_at_1
|
| 2359 |
-
value: 20.102111701568827
|
| 2360 |
-
- type: recall_at_3
|
| 2361 |
-
value: 32.51720798237882
|
| 2362 |
-
- type: recall_at_5
|
| 2363 |
-
value: 38.47052010632308
|
| 2364 |
-
- type: recall_at_10
|
| 2365 |
-
value: 46.560251311326375
|
| 2366 |
-
- type: recall_at_100
|
| 2367 |
-
value: 71.37281646052087
|
| 2368 |
-
- type: recall_at_1000
|
| 2369 |
-
value: 89.54176274473149
|
| 2370 |
-
- task:
|
| 2371 |
-
type: Retrieval
|
| 2372 |
-
dataset:
|
| 2373 |
-
type: BeIR/cqadupstack
|
| 2374 |
-
name: MTEB CQADupstackAndroidRetrieval
|
| 2375 |
-
config: default
|
| 2376 |
-
split: test
|
| 2377 |
-
revision: None
|
| 2378 |
-
metrics:
|
| 2379 |
-
- type: ndcg_at_1
|
| 2380 |
-
value: 44.34907010014306
|
| 2381 |
-
- type: ndcg_at_3
|
| 2382 |
-
value: 50.3866971503038
|
| 2383 |
-
- type: ndcg_at_5
|
| 2384 |
-
value: 53.15366139760711
|
| 2385 |
-
- type: ndcg_at_10
|
| 2386 |
-
value: 56.56459368482132
|
| 2387 |
-
- type: ndcg_at_100
|
| 2388 |
-
value: 61.49499162448754
|
| 2389 |
-
- type: ndcg_at_1000
|
| 2390 |
-
value: 62.750952246569824
|
| 2391 |
-
- type: map_at_1
|
| 2392 |
-
value: 35.87684730898816
|
| 2393 |
-
- type: map_at_3
|
| 2394 |
-
value: 44.81019864282626
|
| 2395 |
-
- type: map_at_5
|
| 2396 |
-
value: 47.24254516428158
|
| 2397 |
-
- type: map_at_10
|
| 2398 |
-
value: 49.28704567095768
|
| 2399 |
-
- type: map_at_100
|
| 2400 |
-
value: 50.85906250580416
|
| 2401 |
-
- type: map_at_1000
|
| 2402 |
-
value: 50.96818352379094
|
| 2403 |
-
- type: precision_at_1
|
| 2404 |
-
value: 44.34907010014306
|
| 2405 |
-
- type: precision_at_3
|
| 2406 |
-
value: 24.463519313304776
|
| 2407 |
-
- type: precision_at_5
|
| 2408 |
-
value: 17.68240343347653
|
| 2409 |
-
- type: precision_at_10
|
| 2410 |
-
value: 11.173104434906978
|
| 2411 |
-
- type: precision_at_100
|
| 2412 |
-
value: 1.7095851216022702
|
| 2413 |
-
- type: precision_at_1000
|
| 2414 |
-
value: 0.21087267525035264
|
| 2415 |
-
- type: recall_at_1
|
| 2416 |
-
value: 35.87684730898816
|
| 2417 |
-
- type: recall_at_3
|
| 2418 |
-
value: 52.8360317975774
|
| 2419 |
-
- type: recall_at_5
|
| 2420 |
-
value: 60.826717819116716
|
| 2421 |
-
- type: recall_at_10
|
| 2422 |
-
value: 70.64783984145798
|
| 2423 |
-
- type: recall_at_100
|
| 2424 |
-
value: 90.90247835876467
|
| 2425 |
-
- type: recall_at_1000
|
| 2426 |
-
value: 98.27352916110131
|
| 2427 |
-
- task:
|
| 2428 |
-
type: Retrieval
|
| 2429 |
-
dataset:
|
| 2430 |
-
type: BeIR/cqadupstack
|
| 2431 |
-
name: MTEB CQADupstackRetrieval
|
| 2432 |
-
config: default
|
| 2433 |
-
split: test
|
| 2434 |
-
revision: None
|
| 2435 |
-
metrics:
|
| 2436 |
-
- type: ndcg_at_1
|
| 2437 |
-
value: 36.038578730542476
|
| 2438 |
-
- type: ndcg_at_3
|
| 2439 |
-
value: 41.931365356453036
|
| 2440 |
-
- type: ndcg_at_5
|
| 2441 |
-
value: 44.479015523894994
|
| 2442 |
-
- type: ndcg_at_10
|
| 2443 |
-
value: 47.308084499970704
|
| 2444 |
-
- type: ndcg_at_100
|
| 2445 |
-
value: 52.498062430513606
|
| 2446 |
-
- type: ndcg_at_1000
|
| 2447 |
-
value: 54.2908789514719
|
| 2448 |
-
- type: map_at_1
|
| 2449 |
-
value: 30.38821701528966
|
| 2450 |
-
- type: map_at_3
|
| 2451 |
-
value: 37.974871761903636
|
| 2452 |
-
- type: map_at_5
|
| 2453 |
-
value: 39.85399878507757
|
| 2454 |
-
- type: map_at_10
|
| 2455 |
-
value: 41.31456611036795
|
| 2456 |
-
- type: map_at_100
|
| 2457 |
-
value: 42.62907836655835
|
| 2458 |
-
- type: map_at_1000
|
| 2459 |
-
value: 42.737235870659845
|
| 2460 |
-
- type: precision_at_1
|
| 2461 |
-
value: 36.038578730542476
|
| 2462 |
-
- type: precision_at_3
|
| 2463 |
-
value: 19.39960180094633
|
| 2464 |
-
- type: precision_at_5
|
| 2465 |
-
value: 13.79264655952497
|
| 2466 |
-
- type: precision_at_10
|
| 2467 |
-
value: 8.399223517333388
|
| 2468 |
-
- type: precision_at_100
|
| 2469 |
-
value: 1.2992373779520896
|
| 2470 |
-
- type: precision_at_1000
|
| 2471 |
-
value: 0.16327170951909567
|
| 2472 |
-
- type: recall_at_1
|
| 2473 |
-
value: 30.38821701528966
|
| 2474 |
-
- type: recall_at_3
|
| 2475 |
-
value: 45.51645512564165
|
| 2476 |
-
- type: recall_at_5
|
| 2477 |
-
value: 52.06077167834868
|
| 2478 |
-
- type: recall_at_10
|
| 2479 |
-
value: 60.38864106788279
|
| 2480 |
-
- type: recall_at_100
|
| 2481 |
-
value: 82.76968509918343
|
| 2482 |
-
- type: recall_at_1000
|
| 2483 |
-
value: 94.84170217080344
|
| 2484 |
---
|
| 2485 |
|
| 2486 |
|
|
@@ -2503,6 +1709,7 @@ For more details please refer to our Github: [FlagEmbedding](https://github.com/
|
|
| 2503 |
- [ ] Evaluation Pipeline
|
| 2504 |
- [ ] Technical Report
|
| 2505 |
|
|
|
|
| 2506 |
|
| 2507 |
|
| 2508 |
## Usage
|
|
|
|
| 26 |
value: 93.1492537313433
|
| 27 |
task:
|
| 28 |
type: Classification
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
- dataset:
|
| 30 |
config: default
|
| 31 |
+
name: MTEB AmazonPolarityClassification
|
| 32 |
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
|
| 33 |
split: test
|
| 34 |
type: mteb/amazon_polarity
|
|
|
|
| 59 |
task:
|
| 60 |
type: Classification
|
| 61 |
- dataset:
|
| 62 |
+
config: default
|
| 63 |
+
name: MTEB ArguAna
|
| 64 |
+
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
|
| 65 |
+
split: test
|
| 66 |
+
type: mteb/arguana
|
| 67 |
metrics:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 68 |
- type: main_score
|
| 69 |
+
value: 83.07967801208441
|
| 70 |
+
- type: ndcg_at_1
|
| 71 |
+
value: 66.50071123755335
|
| 72 |
+
- type: ndcg_at_3
|
| 73 |
+
value: 80.10869593172173
|
| 74 |
+
- type: ndcg_at_5
|
| 75 |
+
value: 81.89670542467924
|
| 76 |
+
- type: ndcg_at_10
|
| 77 |
+
value: 83.07967801208441
|
| 78 |
+
- type: ndcg_at_100
|
| 79 |
+
value: 83.5991349601075
|
| 80 |
+
- type: ndcg_at_1000
|
| 81 |
+
value: 83.5991349601075
|
| 82 |
+
- type: map_at_1
|
| 83 |
+
value: 66.50071123755335
|
| 84 |
+
- type: map_at_3
|
| 85 |
+
value: 76.83736367946898
|
| 86 |
+
- type: map_at_5
|
| 87 |
+
value: 77.8473210052158
|
| 88 |
+
- type: map_at_10
|
| 89 |
+
value: 78.35472690735851
|
| 90 |
+
- type: map_at_100
|
| 91 |
+
value: 78.47388207611678
|
| 92 |
+
- type: map_at_1000
|
| 93 |
+
value: 78.47388207611678
|
| 94 |
+
- type: precision_at_1
|
| 95 |
+
value: 66.50071123755335
|
| 96 |
+
- type: precision_at_3
|
| 97 |
+
value: 29.848269321953076
|
| 98 |
+
- type: precision_at_5
|
| 99 |
+
value: 18.762446657183045
|
| 100 |
+
- type: precision_at_10
|
| 101 |
+
value: 9.736842105262909
|
| 102 |
+
- type: precision_at_100
|
| 103 |
+
value: 0.9964438122332677
|
| 104 |
+
- type: precision_at_1000
|
| 105 |
+
value: 0.09964438122332549
|
| 106 |
+
- type: recall_at_1
|
| 107 |
+
value: 66.50071123755335
|
| 108 |
+
- type: recall_at_3
|
| 109 |
+
value: 89.5448079658606
|
| 110 |
+
- type: recall_at_5
|
| 111 |
+
value: 93.8122332859175
|
| 112 |
+
- type: recall_at_10
|
| 113 |
+
value: 97.36842105263158
|
| 114 |
+
- type: recall_at_100
|
| 115 |
+
value: 99.6443812233286
|
| 116 |
+
- type: recall_at_1000
|
| 117 |
+
value: 99.6443812233286
|
| 118 |
task:
|
| 119 |
+
type: Retrieval
|
| 120 |
- dataset:
|
| 121 |
config: default
|
| 122 |
+
name: MTEB ArxivClusteringP2P
|
| 123 |
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 124 |
split: test
|
| 125 |
type: mteb/arxiv-clustering-p2p
|
|
|
|
| 134 |
type: Clustering
|
| 135 |
- dataset:
|
| 136 |
config: default
|
| 137 |
+
name: MTEB ArxivClusteringS2S
|
| 138 |
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 139 |
split: test
|
| 140 |
type: mteb/arxiv-clustering-s2s
|
|
|
|
| 149 |
type: Clustering
|
| 150 |
- dataset:
|
| 151 |
config: default
|
| 152 |
+
name: MTEB AskUbuntuDupQuestions
|
| 153 |
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 154 |
split: test
|
| 155 |
type: mteb/askubuntudupquestions-reranking
|
|
|
|
| 164 |
type: Reranking
|
| 165 |
- dataset:
|
| 166 |
config: default
|
| 167 |
+
name: MTEB BIOSSES
|
| 168 |
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 169 |
split: test
|
| 170 |
type: mteb/biosses-sts
|
| 171 |
metrics:
|
| 172 |
- type: main_score
|
| 173 |
value: 86.47365710792691
|
| 174 |
+
- type: cosine_spearman
|
| 175 |
+
value: 86.47365710792691
|
| 176 |
+
- type: spearman
|
| 177 |
+
value: 86.47365710792691
|
| 178 |
task:
|
| 179 |
type: STS
|
| 180 |
- dataset:
|
| 181 |
config: default
|
| 182 |
+
name: MTEB Banking77Classification
|
| 183 |
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
|
| 184 |
split: test
|
| 185 |
type: mteb/banking77
|
|
|
|
| 194 |
type: Classification
|
| 195 |
- dataset:
|
| 196 |
config: default
|
| 197 |
+
name: MTEB BiorxivClusteringP2P
|
| 198 |
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
|
| 199 |
split: test
|
| 200 |
type: mteb/biorxiv-clustering-p2p
|
|
|
|
| 209 |
type: Clustering
|
| 210 |
- dataset:
|
| 211 |
config: default
|
| 212 |
+
name: MTEB BiorxivClusteringS2S
|
| 213 |
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
|
| 214 |
split: test
|
| 215 |
type: mteb/biorxiv-clustering-s2s
|
|
|
|
| 224 |
type: Clustering
|
| 225 |
- dataset:
|
| 226 |
config: default
|
| 227 |
+
name: MTEB CQADupstackRetrieval
|
| 228 |
+
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
|
| 229 |
split: test
|
| 230 |
+
type: mteb/cqadupstack
|
| 231 |
metrics:
|
|
|
|
|
|
|
|
|
|
|
|
|
| 232 |
- type: main_score
|
| 233 |
+
value: 47.308084499970704
|
| 234 |
+
- type: ndcg_at_1
|
| 235 |
+
value: 36.038578730542476
|
| 236 |
+
- type: ndcg_at_3
|
| 237 |
+
value: 41.931365356453036
|
| 238 |
+
- type: ndcg_at_5
|
| 239 |
+
value: 44.479015523894994
|
| 240 |
+
- type: ndcg_at_10
|
| 241 |
+
value: 47.308084499970704
|
| 242 |
+
- type: ndcg_at_100
|
| 243 |
+
value: 52.498062430513606
|
| 244 |
+
- type: ndcg_at_1000
|
| 245 |
+
value: 54.2908789514719
|
| 246 |
+
- type: map_at_1
|
| 247 |
+
value: 30.38821701528966
|
| 248 |
+
- type: map_at_3
|
| 249 |
+
value: 37.974871761903636
|
| 250 |
+
- type: map_at_5
|
| 251 |
+
value: 39.85399878507757
|
| 252 |
+
- type: map_at_10
|
| 253 |
+
value: 41.31456611036795
|
| 254 |
+
- type: map_at_100
|
| 255 |
+
value: 42.62907836655835
|
| 256 |
+
- type: map_at_1000
|
| 257 |
+
value: 42.737235870659845
|
| 258 |
+
- type: precision_at_1
|
| 259 |
+
value: 36.038578730542476
|
| 260 |
+
- type: precision_at_3
|
| 261 |
+
value: 19.39960180094633
|
| 262 |
+
- type: precision_at_5
|
| 263 |
+
value: 13.79264655952497
|
| 264 |
+
- type: precision_at_10
|
| 265 |
+
value: 8.399223517333388
|
| 266 |
+
- type: precision_at_100
|
| 267 |
+
value: 1.2992373779520896
|
| 268 |
+
- type: precision_at_1000
|
| 269 |
+
value: 0.16327170951909567
|
| 270 |
+
- type: recall_at_1
|
| 271 |
+
value: 30.38821701528966
|
| 272 |
+
- type: recall_at_3
|
| 273 |
+
value: 45.51645512564165
|
| 274 |
+
- type: recall_at_5
|
| 275 |
+
value: 52.06077167834868
|
| 276 |
+
- type: recall_at_10
|
| 277 |
+
value: 60.38864106788279
|
| 278 |
+
- type: recall_at_100
|
| 279 |
+
value: 82.76968509918343
|
| 280 |
+
- type: recall_at_1000
|
| 281 |
+
value: 94.84170217080344
|
| 282 |
task:
|
| 283 |
+
type: Retrieval
|
| 284 |
+
- dataset:
|
| 285 |
+
config: default
|
| 286 |
+
name: MTEB ClimateFEVER
|
| 287 |
+
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|
| 289 |
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type: mteb/climate-fever
|
| 290 |
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|
| 291 |
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|
| 292 |
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value: 45.4272998284769
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value: 44.36482084690554
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value: 38.13005747178844
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value: 52.880220707479516
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value: 19.200868621064064
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value: 28.33785740137525
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value: 19.200868621064064
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| 339 |
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value: 90.59174809989138
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| 341 |
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task:
|
| 342 |
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type: Retrieval
|
| 343 |
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- dataset:
|
| 344 |
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config: default
|
| 345 |
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name: MTEB DBPedia
|
| 346 |
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revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
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| 347 |
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split: test
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| 348 |
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type: mteb/dbpedia
|
| 349 |
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|
| 350 |
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|
| 351 |
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value: 51.634197691802754
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| 352 |
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value: 64.375
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value: 63.146019108272576
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| 365 |
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value: 9.789380503780919
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| 366 |
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value: 16.146582195277016
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| 368 |
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value: 19.469695222167193
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| 372 |
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value: 35.47047690245571
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| 374 |
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| 376 |
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value: 76.25
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| 378 |
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| 379 |
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value: 59.08333333333333
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| 380 |
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| 381 |
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value: 52.24999999999997
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| 382 |
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| 383 |
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value: 42.54999999999994
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| 385 |
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value: 13.460000000000008
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| 386 |
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value: 2.4804999999999966
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value: 9.789380503780919
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value: 62.172868946596424
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| 398 |
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- type: recall_at_1000
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| 399 |
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value: 85.32410301328747
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| 400 |
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task:
|
| 401 |
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type: Retrieval
|
| 402 |
- dataset:
|
| 403 |
config: default
|
| 404 |
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name: MTEB EmotionClassification
|
| 405 |
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
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| 406 |
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split: test
|
| 407 |
type: mteb/emotion
|
| 408 |
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|
| 409 |
- type: accuracy
|
| 410 |
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value: 93.36
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| 411 |
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| 412 |
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value: 89.73665936982262
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| 413 |
- type: main_score
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| 414 |
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value: 93.36
|
| 415 |
task:
|
| 416 |
type: Classification
|
| 417 |
- dataset:
|
| 418 |
config: default
|
| 419 |
+
name: MTEB FEVER
|
| 420 |
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revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
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| 421 |
split: test
|
| 422 |
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type: mteb/fever
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| 423 |
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| 424 |
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| 425 |
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value: 92.82809814626805
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| 426 |
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| 428 |
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value: 91.82404417747676
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value: 99.5555567461508
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task:
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| 475 |
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type: Retrieval
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| 476 |
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- dataset:
|
| 477 |
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config: default
|
| 478 |
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name: MTEB FiQA2018
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| 479 |
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revision: 27a168819829fe9bcd655c2df245fb19452e8e06
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split: test
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type: mteb/fiqa
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| 484 |
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value: 59.67151242793314
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value: 98.18121693121691
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| 533 |
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task:
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| 534 |
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type: Retrieval
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| 535 |
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- dataset:
|
| 536 |
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config: default
|
| 537 |
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name: MTEB HotpotQA
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| 538 |
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revision: ab518f4d6fcca38d87c25209f94beba119d02014
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split: test
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| 540 |
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type: mteb/hotpotqa
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| 541 |
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| 543 |
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value: 85.13780800141961
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| 591 |
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value: 98.60904794058068
|
| 592 |
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task:
|
| 593 |
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type: Retrieval
|
| 594 |
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- dataset:
|
| 595 |
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config: default
|
| 596 |
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name: MTEB ImdbClassification
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| 597 |
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revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
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| 598 |
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split: test
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| 599 |
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type: mteb/imdb
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| 600 |
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metrics:
|
| 601 |
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- type: accuracy
|
| 602 |
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value: 96.9144
|
| 603 |
- type: ap
|
| 604 |
value: 95.45276911068486
|
| 605 |
- type: f1
|
|
|
|
| 609 |
task:
|
| 610 |
type: Classification
|
| 611 |
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|
| 612 |
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config: default
|
| 613 |
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name: MTEB MSMARCO
|
| 614 |
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revision: c5a29a104738b98a9e76336939199e264163d4a0
|
| 615 |
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split: dev
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| 616 |
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type: mteb/msmarco
|
| 617 |
metrics:
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|
|
|
|
|
|
|
|
|
|
|
|
| 618 |
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| 619 |
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| 665 |
+
value: 92.86413562559697
|
| 666 |
+
- type: recall_at_1000
|
| 667 |
+
value: 99.3230659025788
|
| 668 |
task:
|
| 669 |
+
type: Retrieval
|
| 670 |
- dataset:
|
| 671 |
config: en
|
| 672 |
name: MTEB MTOPDomainClassification (en)
|
| 673 |
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 674 |
+
split: test
|
| 675 |
type: mteb/mtop_domain
|
| 676 |
metrics:
|
| 677 |
- type: accuracy
|
| 678 |
+
value: 98.42225262197901
|
| 679 |
- type: f1
|
| 680 |
+
value: 98.31652547061115
|
| 681 |
- type: main_score
|
| 682 |
+
value: 98.42225262197901
|
| 683 |
task:
|
| 684 |
type: Classification
|
| 685 |
- dataset:
|
|
|
|
| 697 |
value: 94.00136798905609
|
| 698 |
task:
|
| 699 |
type: Classification
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 700 |
- dataset:
|
| 701 |
config: en
|
| 702 |
name: MTEB MassiveIntentClassification (en)
|
|
|
|
| 712 |
value: 82.92535305985204
|
| 713 |
task:
|
| 714 |
type: Classification
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 715 |
- dataset:
|
| 716 |
config: en
|
| 717 |
name: MTEB MassiveScenarioClassification (en)
|
|
|
|
| 727 |
value: 85.60188298587758
|
| 728 |
task:
|
| 729 |
type: Classification
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 730 |
- dataset:
|
| 731 |
config: default
|
| 732 |
+
name: MTEB MedrxivClusteringP2P
|
| 733 |
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 734 |
split: test
|
| 735 |
type: mteb/medrxiv-clustering-p2p
|
|
|
|
| 744 |
type: Clustering
|
| 745 |
- dataset:
|
| 746 |
config: default
|
| 747 |
+
name: MTEB MedrxivClusteringS2S
|
| 748 |
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 749 |
split: test
|
| 750 |
type: mteb/medrxiv-clustering-s2s
|
|
|
|
| 759 |
type: Clustering
|
| 760 |
- dataset:
|
| 761 |
config: default
|
| 762 |
+
name: MTEB MindSmallReranking
|
| 763 |
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
|
| 764 |
split: test
|
| 765 |
type: mteb/mind_small
|
|
|
|
| 774 |
type: Reranking
|
| 775 |
- dataset:
|
| 776 |
config: default
|
| 777 |
+
name: MTEB NFCorpus
|
| 778 |
+
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
|
| 779 |
+
split: test
|
| 780 |
+
type: mteb/nfcorpus
|
| 781 |
+
metrics:
|
| 782 |
+
- type: main_score
|
| 783 |
+
value: 41.850870119787835
|
| 784 |
+
- type: ndcg_at_1
|
| 785 |
+
value: 52.47678018575851
|
| 786 |
+
- type: ndcg_at_3
|
| 787 |
+
value: 47.43993801247414
|
| 788 |
+
- type: ndcg_at_5
|
| 789 |
+
value: 45.08173173082719
|
| 790 |
+
- type: ndcg_at_10
|
| 791 |
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value: 41.850870119787835
|
| 792 |
+
- type: ndcg_at_100
|
| 793 |
+
value: 37.79284946590978
|
| 794 |
+
- type: ndcg_at_1000
|
| 795 |
+
value: 46.58046062123418
|
| 796 |
+
- type: map_at_1
|
| 797 |
+
value: 6.892464464226138
|
| 798 |
+
- type: map_at_3
|
| 799 |
+
value: 12.113195798233127
|
| 800 |
+
- type: map_at_5
|
| 801 |
+
value: 13.968475602788812
|
| 802 |
+
- type: map_at_10
|
| 803 |
+
value: 16.47564069781326
|
| 804 |
+
- type: map_at_100
|
| 805 |
+
value: 20.671726065190025
|
| 806 |
+
- type: map_at_1000
|
| 807 |
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value: 22.328875914012006
|
| 808 |
+
- type: precision_at_1
|
| 809 |
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value: 53.86996904024768
|
| 810 |
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- type: precision_at_3
|
| 811 |
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value: 43.96284829721363
|
| 812 |
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- type: precision_at_5
|
| 813 |
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value: 38.69969040247682
|
| 814 |
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- type: precision_at_10
|
| 815 |
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value: 30.928792569659457
|
| 816 |
+
- type: precision_at_100
|
| 817 |
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value: 9.507739938080498
|
| 818 |
+
- type: precision_at_1000
|
| 819 |
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value: 2.25882352941176
|
| 820 |
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- type: recall_at_1
|
| 821 |
+
value: 6.892464464226138
|
| 822 |
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- type: recall_at_3
|
| 823 |
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value: 13.708153358278407
|
| 824 |
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- type: recall_at_5
|
| 825 |
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value: 16.651919797359145
|
| 826 |
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- type: recall_at_10
|
| 827 |
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value: 21.01801714352559
|
| 828 |
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- type: recall_at_100
|
| 829 |
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value: 37.01672102843443
|
| 830 |
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- type: recall_at_1000
|
| 831 |
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value: 69.8307270724072
|
| 832 |
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task:
|
| 833 |
+
type: Retrieval
|
| 834 |
+
- dataset:
|
| 835 |
+
config: default
|
| 836 |
+
name: MTEB NQ
|
| 837 |
+
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
|
| 838 |
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split: test
|
| 839 |
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type: mteb/nq
|
| 840 |
+
metrics:
|
| 841 |
+
- type: main_score
|
| 842 |
+
value: 73.88350836507092
|
| 843 |
+
- type: ndcg_at_1
|
| 844 |
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value: 57.0683661645423
|
| 845 |
+
- type: ndcg_at_3
|
| 846 |
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value: 67.89935813080585
|
| 847 |
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- type: ndcg_at_5
|
| 848 |
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value: 71.47769719452941
|
| 849 |
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- type: ndcg_at_10
|
| 850 |
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value: 73.88350836507092
|
| 851 |
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- type: ndcg_at_100
|
| 852 |
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value: 75.76561068060907
|
| 853 |
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- type: ndcg_at_1000
|
| 854 |
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value: 75.92437662684215
|
| 855 |
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- type: map_at_1
|
| 856 |
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value: 51.00424874468904
|
| 857 |
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- type: map_at_3
|
| 858 |
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value: 63.87359984550011
|
| 859 |
+
- type: map_at_5
|
| 860 |
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value: 66.23696407879494
|
| 861 |
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- type: map_at_10
|
| 862 |
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value: 67.42415446608673
|
| 863 |
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- type: map_at_100
|
| 864 |
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value: 67.92692839842621
|
| 865 |
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- type: map_at_1000
|
| 866 |
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value: 67.93437922640133
|
| 867 |
+
- type: precision_at_1
|
| 868 |
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value: 57.0683661645423
|
| 869 |
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- type: precision_at_3
|
| 870 |
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value: 29.692931633836416
|
| 871 |
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- type: precision_at_5
|
| 872 |
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value: 20.046349942062854
|
| 873 |
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- type: precision_at_10
|
| 874 |
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value: 10.950173812283
|
| 875 |
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- type: precision_at_100
|
| 876 |
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value: 1.1995944380069687
|
| 877 |
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- type: precision_at_1000
|
| 878 |
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value: 0.12146581691772171
|
| 879 |
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- type: recall_at_1
|
| 880 |
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value: 51.00424874468904
|
| 881 |
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- type: recall_at_3
|
| 882 |
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value: 75.93665507918116
|
| 883 |
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- type: recall_at_5
|
| 884 |
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value: 83.95133256083433
|
| 885 |
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- type: recall_at_10
|
| 886 |
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value: 90.78794901506375
|
| 887 |
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- type: recall_at_100
|
| 888 |
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value: 98.61915797605253
|
| 889 |
+
- type: recall_at_1000
|
| 890 |
+
value: 99.7827346465817
|
| 891 |
+
task:
|
| 892 |
+
type: Retrieval
|
| 893 |
+
- dataset:
|
| 894 |
+
config: default
|
| 895 |
+
name: MTEB QuoraRetrieval
|
| 896 |
+
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
|
| 897 |
+
split: test
|
| 898 |
+
type: mteb/quora
|
| 899 |
+
metrics:
|
| 900 |
+
- type: main_score
|
| 901 |
+
value: 90.95410848372035
|
| 902 |
+
- type: ndcg_at_1
|
| 903 |
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value: 84.61999999999999
|
| 904 |
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- type: ndcg_at_3
|
| 905 |
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value: 88.57366734033212
|
| 906 |
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- type: ndcg_at_5
|
| 907 |
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value: 89.89804048972175
|
| 908 |
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- type: ndcg_at_10
|
| 909 |
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value: 90.95410848372035
|
| 910 |
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- type: ndcg_at_100
|
| 911 |
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value: 91.83227134455773
|
| 912 |
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- type: ndcg_at_1000
|
| 913 |
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value: 91.88368412611601
|
| 914 |
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- type: map_at_1
|
| 915 |
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value: 73.4670089207039
|
| 916 |
+
- type: map_at_3
|
| 917 |
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value: 84.87862925508942
|
| 918 |
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- type: map_at_5
|
| 919 |
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value: 86.68002324701408
|
| 920 |
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- type: map_at_10
|
| 921 |
+
value: 87.7165466015312
|
| 922 |
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- type: map_at_100
|
| 923 |
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value: 88.28718809614146
|
| 924 |
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- type: map_at_1000
|
| 925 |
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value: 88.29877148480672
|
| 926 |
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- type: precision_at_1
|
| 927 |
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value: 84.61999999999999
|
| 928 |
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- type: precision_at_3
|
| 929 |
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value: 38.82333333333838
|
| 930 |
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- type: precision_at_5
|
| 931 |
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value: 25.423999999998642
|
| 932 |
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- type: precision_at_10
|
| 933 |
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value: 13.787999999998583
|
| 934 |
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- type: precision_at_100
|
| 935 |
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value: 1.5442999999999767
|
| 936 |
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- type: precision_at_1000
|
| 937 |
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value: 0.15672999999997972
|
| 938 |
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- type: recall_at_1
|
| 939 |
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value: 73.4670089207039
|
| 940 |
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- type: recall_at_3
|
| 941 |
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value: 89.98389854832143
|
| 942 |
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- type: recall_at_5
|
| 943 |
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value: 93.88541046010576
|
| 944 |
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- type: recall_at_10
|
| 945 |
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value: 96.99779417520634
|
| 946 |
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- type: recall_at_100
|
| 947 |
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value: 99.80318763957743
|
| 948 |
+
- type: recall_at_1000
|
| 949 |
+
value: 99.99638888888889
|
| 950 |
+
task:
|
| 951 |
+
type: Retrieval
|
| 952 |
+
- dataset:
|
| 953 |
+
config: default
|
| 954 |
+
name: MTEB RedditClustering
|
| 955 |
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 956 |
split: test
|
| 957 |
type: mteb/reddit-clustering
|
|
|
|
| 966 |
type: Clustering
|
| 967 |
- dataset:
|
| 968 |
config: default
|
| 969 |
+
name: MTEB RedditClusteringP2P
|
| 970 |
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
|
| 971 |
split: test
|
| 972 |
type: mteb/reddit-clustering-p2p
|
|
|
|
| 981 |
type: Clustering
|
| 982 |
- dataset:
|
| 983 |
config: default
|
| 984 |
+
name: MTEB SCIDOCS
|
| 985 |
+
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
|
| 986 |
+
split: test
|
| 987 |
+
type: mteb/scidocs
|
| 988 |
+
metrics:
|
| 989 |
+
- type: main_score
|
| 990 |
+
value: 25.25865384510787
|
| 991 |
+
- type: ndcg_at_1
|
| 992 |
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value: 28.7
|
| 993 |
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- type: ndcg_at_3
|
| 994 |
+
value: 23.61736427940938
|
| 995 |
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- type: ndcg_at_5
|
| 996 |
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value: 20.845690325673885
|
| 997 |
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- type: ndcg_at_10
|
| 998 |
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value: 25.25865384510787
|
| 999 |
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- type: ndcg_at_100
|
| 1000 |
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value: 36.18596641088721
|
| 1001 |
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- type: ndcg_at_1000
|
| 1002 |
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value: 41.7166868935345
|
| 1003 |
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- type: map_at_1
|
| 1004 |
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value: 5.828333333333361
|
| 1005 |
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- type: map_at_3
|
| 1006 |
+
value: 10.689166666666676
|
| 1007 |
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- type: map_at_5
|
| 1008 |
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value: 13.069916666666668
|
| 1009 |
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- type: map_at_10
|
| 1010 |
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value: 15.4901164021164
|
| 1011 |
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- type: map_at_100
|
| 1012 |
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value: 18.61493245565425
|
| 1013 |
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- type: map_at_1000
|
| 1014 |
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value: 18.99943478016456
|
| 1015 |
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- type: precision_at_1
|
| 1016 |
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value: 28.7
|
| 1017 |
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- type: precision_at_3
|
| 1018 |
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value: 22.30000000000006
|
| 1019 |
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- type: precision_at_5
|
| 1020 |
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value: 18.55999999999997
|
| 1021 |
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- type: precision_at_10
|
| 1022 |
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value: 13.289999999999946
|
| 1023 |
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- type: precision_at_100
|
| 1024 |
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value: 2.905000000000005
|
| 1025 |
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- type: precision_at_1000
|
| 1026 |
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value: 0.4218999999999946
|
| 1027 |
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- type: recall_at_1
|
| 1028 |
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value: 5.828333333333361
|
| 1029 |
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- type: recall_at_3
|
| 1030 |
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value: 13.548333333333387
|
| 1031 |
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- type: recall_at_5
|
| 1032 |
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value: 18.778333333333308
|
| 1033 |
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- type: recall_at_10
|
| 1034 |
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value: 26.939999999999902
|
| 1035 |
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- type: recall_at_100
|
| 1036 |
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value: 58.91333333333344
|
| 1037 |
+
- type: recall_at_1000
|
| 1038 |
+
value: 85.57499999999972
|
| 1039 |
+
task:
|
| 1040 |
+
type: Retrieval
|
| 1041 |
+
- dataset:
|
| 1042 |
+
config: default
|
| 1043 |
+
name: MTEB SICK-R
|
| 1044 |
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
|
| 1045 |
split: test
|
| 1046 |
type: mteb/sickr-sts
|
| 1047 |
metrics:
|
| 1048 |
- type: main_score
|
| 1049 |
value: 83.86733787791422
|
| 1050 |
+
- type: cosine_spearman
|
| 1051 |
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value: 83.86733787791422
|
| 1052 |
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- type: spearman
|
| 1053 |
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value: 83.86733787791422
|
| 1054 |
task:
|
| 1055 |
type: STS
|
| 1056 |
- dataset:
|
| 1057 |
config: default
|
| 1058 |
+
name: MTEB STS12
|
| 1059 |
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 1060 |
split: test
|
| 1061 |
type: mteb/sts12-sts
|
| 1062 |
metrics:
|
| 1063 |
- type: main_score
|
| 1064 |
value: 78.14269330480724
|
| 1065 |
+
- type: cosine_spearman
|
| 1066 |
+
value: 78.14269330480724
|
| 1067 |
+
- type: spearman
|
| 1068 |
+
value: 78.14269330480724
|
| 1069 |
task:
|
| 1070 |
type: STS
|
| 1071 |
- dataset:
|
| 1072 |
config: default
|
| 1073 |
+
name: MTEB STS13
|
| 1074 |
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 1075 |
split: test
|
| 1076 |
type: mteb/sts13-sts
|
| 1077 |
metrics:
|
| 1078 |
- type: main_score
|
| 1079 |
value: 86.58640009300751
|
| 1080 |
+
- type: cosine_spearman
|
| 1081 |
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value: 86.58640009300751
|
| 1082 |
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- type: spearman
|
| 1083 |
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value: 86.58640009300751
|
| 1084 |
task:
|
| 1085 |
type: STS
|
| 1086 |
- dataset:
|
| 1087 |
config: default
|
| 1088 |
+
name: MTEB STS14
|
| 1089 |
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 1090 |
split: test
|
| 1091 |
type: mteb/sts14-sts
|
| 1092 |
metrics:
|
| 1093 |
- type: main_score
|
| 1094 |
value: 82.8292579957437
|
| 1095 |
+
- type: cosine_spearman
|
| 1096 |
+
value: 82.8292579957437
|
| 1097 |
+
- type: spearman
|
| 1098 |
+
value: 82.8292579957437
|
| 1099 |
task:
|
| 1100 |
type: STS
|
| 1101 |
- dataset:
|
| 1102 |
config: default
|
| 1103 |
+
name: MTEB STS15
|
| 1104 |
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 1105 |
split: test
|
| 1106 |
type: mteb/sts15-sts
|
| 1107 |
metrics:
|
| 1108 |
- type: main_score
|
| 1109 |
value: 87.77203714228862
|
| 1110 |
+
- type: cosine_spearman
|
| 1111 |
+
value: 87.77203714228862
|
| 1112 |
+
- type: spearman
|
| 1113 |
+
value: 87.77203714228862
|
| 1114 |
+
task:
|
| 1115 |
type: STS
|
| 1116 |
- dataset:
|
| 1117 |
config: default
|
| 1118 |
+
name: MTEB STS16
|
| 1119 |
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 1120 |
split: test
|
| 1121 |
type: mteb/sts16-sts
|
| 1122 |
metrics:
|
| 1123 |
- type: main_score
|
| 1124 |
value: 87.0439304006969
|
| 1125 |
+
- type: cosine_spearman
|
| 1126 |
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value: 87.0439304006969
|
| 1127 |
+
- type: spearman
|
| 1128 |
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value: 87.0439304006969
|
| 1129 |
task:
|
| 1130 |
type: STS
|
| 1131 |
- dataset:
|
|
|
|
| 1137 |
metrics:
|
| 1138 |
- type: main_score
|
| 1139 |
value: 91.24736138013424
|
| 1140 |
+
- type: cosine_spearman
|
| 1141 |
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value: 91.24736138013424
|
| 1142 |
+
- type: spearman
|
| 1143 |
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value: 91.24736138013424
|
| 1144 |
task:
|
| 1145 |
type: STS
|
| 1146 |
- dataset:
|
|
|
|
| 1152 |
metrics:
|
| 1153 |
- type: main_score
|
| 1154 |
value: 70.07326214706
|
| 1155 |
+
- type: cosine_spearman
|
| 1156 |
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value: 70.07326214706
|
| 1157 |
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- type: spearman
|
| 1158 |
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value: 70.07326214706
|
| 1159 |
task:
|
| 1160 |
type: STS
|
| 1161 |
- dataset:
|
| 1162 |
config: default
|
| 1163 |
+
name: MTEB STSBenchmark
|
| 1164 |
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 1165 |
split: test
|
| 1166 |
type: mteb/stsbenchmark-sts
|
| 1167 |
metrics:
|
| 1168 |
- type: main_score
|
| 1169 |
value: 88.42076443255168
|
| 1170 |
+
- type: cosine_spearman
|
| 1171 |
+
value: 88.42076443255168
|
| 1172 |
+
- type: spearman
|
| 1173 |
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value: 88.42076443255168
|
| 1174 |
task:
|
| 1175 |
type: STS
|
| 1176 |
- dataset:
|
| 1177 |
config: default
|
| 1178 |
+
name: MTEB SciDocsRR
|
| 1179 |
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
| 1180 |
split: test
|
| 1181 |
type: mteb/scidocs-reranking
|
|
|
|
| 1190 |
type: Reranking
|
| 1191 |
- dataset:
|
| 1192 |
config: default
|
| 1193 |
+
name: MTEB SciFact
|
| 1194 |
+
revision: 0228b52cf27578f30900b9e5271d331663a030d7
|
| 1195 |
+
split: test
|
| 1196 |
+
type: mteb/scifact
|
| 1197 |
+
metrics:
|
| 1198 |
+
- type: main_score
|
| 1199 |
+
value: 79.09159079425369
|
| 1200 |
+
- type: ndcg_at_1
|
| 1201 |
+
value: 66.0
|
| 1202 |
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- type: ndcg_at_3
|
| 1203 |
+
value: 74.98853481223065
|
| 1204 |
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- type: ndcg_at_5
|
| 1205 |
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value: 77.29382051205019
|
| 1206 |
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- type: ndcg_at_10
|
| 1207 |
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value: 79.09159079425369
|
| 1208 |
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- type: ndcg_at_100
|
| 1209 |
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value: 80.29692802526776
|
| 1210 |
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- type: ndcg_at_1000
|
| 1211 |
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value: 80.55210036585547
|
| 1212 |
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- type: map_at_1
|
| 1213 |
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value: 62.994444444444454
|
| 1214 |
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- type: map_at_3
|
| 1215 |
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value: 71.7425925925926
|
| 1216 |
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- type: map_at_5
|
| 1217 |
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value: 73.6200925925926
|
| 1218 |
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- type: map_at_10
|
| 1219 |
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value: 74.50223544973547
|
| 1220 |
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- type: map_at_100
|
| 1221 |
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value: 74.82438594015447
|
| 1222 |
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- type: map_at_1000
|
| 1223 |
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value: 74.83420474892468
|
| 1224 |
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- type: precision_at_1
|
| 1225 |
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value: 66.0
|
| 1226 |
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- type: precision_at_3
|
| 1227 |
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value: 29.44444444444439
|
| 1228 |
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- type: precision_at_5
|
| 1229 |
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value: 19.40000000000008
|
| 1230 |
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- type: precision_at_10
|
| 1231 |
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value: 10.366666666666715
|
| 1232 |
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- type: precision_at_100
|
| 1233 |
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value: 1.0999999999999928
|
| 1234 |
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- type: precision_at_1000
|
| 1235 |
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value: 0.11200000000000007
|
| 1236 |
+
- type: recall_at_1
|
| 1237 |
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value: 62.994444444444454
|
| 1238 |
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- type: recall_at_3
|
| 1239 |
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value: 80.89999999999998
|
| 1240 |
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- type: recall_at_5
|
| 1241 |
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value: 86.72777777777779
|
| 1242 |
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- type: recall_at_10
|
| 1243 |
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value: 91.88888888888887
|
| 1244 |
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- type: recall_at_100
|
| 1245 |
+
value: 97.0
|
| 1246 |
+
- type: recall_at_1000
|
| 1247 |
+
value: 99.0
|
| 1248 |
+
task:
|
| 1249 |
+
type: Retrieval
|
| 1250 |
+
- dataset:
|
| 1251 |
+
config: default
|
| 1252 |
+
name: MTEB SprintDuplicateQuestions
|
| 1253 |
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 1254 |
split: test
|
| 1255 |
type: mteb/sprintduplicatequestions-pairclassification
|
|
|
|
| 1322 |
type: PairClassification
|
| 1323 |
- dataset:
|
| 1324 |
config: default
|
| 1325 |
+
name: MTEB StackExchangeClustering
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
| 1326 |
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 1327 |
split: test
|
| 1328 |
type: mteb/stackexchange-clustering
|
|
|
|
| 1337 |
type: Clustering
|
| 1338 |
- dataset:
|
| 1339 |
config: default
|
| 1340 |
+
name: MTEB StackExchangeClusteringP2P
|
| 1341 |
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 1342 |
split: test
|
| 1343 |
type: mteb/stackexchange-clustering-p2p
|
|
|
|
| 1352 |
type: Clustering
|
| 1353 |
- dataset:
|
| 1354 |
config: default
|
| 1355 |
+
name: MTEB StackOverflowDupQuestions
|
| 1356 |
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 1357 |
split: test
|
| 1358 |
type: mteb/stackoverflowdupquestions-reranking
|
|
|
|
| 1367 |
type: Reranking
|
| 1368 |
- dataset:
|
| 1369 |
config: default
|
| 1370 |
+
name: MTEB SummEval
|
| 1371 |
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 1372 |
split: test
|
| 1373 |
type: mteb/summeval
|
|
|
|
| 1378 |
type: Summarization
|
| 1379 |
- dataset:
|
| 1380 |
config: default
|
| 1381 |
+
name: MTEB TRECCOVID
|
| 1382 |
+
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
|
| 1383 |
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split: test
|
| 1384 |
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type: mteb/trec-covid
|
| 1385 |
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metrics:
|
| 1386 |
+
- type: main_score
|
| 1387 |
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value: 79.07987651251462
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| 1388 |
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- type: ndcg_at_1
|
| 1389 |
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value: 83.0
|
| 1390 |
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- type: ndcg_at_3
|
| 1391 |
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value: 79.86598407528447
|
| 1392 |
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- type: ndcg_at_5
|
| 1393 |
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value: 79.27684428714952
|
| 1394 |
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- type: ndcg_at_10
|
| 1395 |
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value: 79.07987651251462
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| 1396 |
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- type: ndcg_at_100
|
| 1397 |
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value: 64.55029164391163
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| 1398 |
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- type: ndcg_at_1000
|
| 1399 |
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value: 59.42333857860492
|
| 1400 |
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- type: map_at_1
|
| 1401 |
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value: 0.226053732680979
|
| 1402 |
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- type: map_at_3
|
| 1403 |
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value: 0.644034626013194
|
| 1404 |
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- type: map_at_5
|
| 1405 |
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value: 1.045196967937728
|
| 1406 |
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- type: map_at_10
|
| 1407 |
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value: 2.0197496659905085
|
| 1408 |
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- type: map_at_100
|
| 1409 |
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value: 13.316018005224159
|
| 1410 |
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- type: map_at_1000
|
| 1411 |
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value: 33.784766957424104
|
| 1412 |
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- type: precision_at_1
|
| 1413 |
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value: 88.0
|
| 1414 |
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- type: precision_at_3
|
| 1415 |
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value: 86.66666666666667
|
| 1416 |
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- type: precision_at_5
|
| 1417 |
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value: 85.20000000000002
|
| 1418 |
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- type: precision_at_10
|
| 1419 |
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value: 84.19999999999997
|
| 1420 |
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- type: precision_at_100
|
| 1421 |
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value: 67.88000000000001
|
| 1422 |
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- type: precision_at_1000
|
| 1423 |
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value: 26.573999999999998
|
| 1424 |
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- type: recall_at_1
|
| 1425 |
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value: 0.226053732680979
|
| 1426 |
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- type: recall_at_3
|
| 1427 |
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value: 0.6754273711472734
|
| 1428 |
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- type: recall_at_5
|
| 1429 |
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value: 1.1168649828059245
|
| 1430 |
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- type: recall_at_10
|
| 1431 |
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value: 2.2215081031265207
|
| 1432 |
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- type: recall_at_100
|
| 1433 |
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value: 16.694165236664727
|
| 1434 |
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- type: recall_at_1000
|
| 1435 |
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value: 56.7022214857503
|
| 1436 |
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task:
|
| 1437 |
+
type: Retrieval
|
| 1438 |
+
- dataset:
|
| 1439 |
+
config: default
|
| 1440 |
+
name: MTEB Touche2020
|
| 1441 |
+
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
|
| 1442 |
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split: test
|
| 1443 |
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type: mteb/touche2020
|
| 1444 |
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metrics:
|
| 1445 |
+
- type: main_score
|
| 1446 |
+
value: 30.47934263207554
|
| 1447 |
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- type: ndcg_at_1
|
| 1448 |
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value: 33.6734693877551
|
| 1449 |
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- type: ndcg_at_3
|
| 1450 |
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value: 34.36843900446739
|
| 1451 |
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- type: ndcg_at_5
|
| 1452 |
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value: 32.21323786731918
|
| 1453 |
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- type: ndcg_at_10
|
| 1454 |
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value: 30.47934263207554
|
| 1455 |
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- type: ndcg_at_100
|
| 1456 |
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value: 41.49598869753928
|
| 1457 |
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- type: ndcg_at_1000
|
| 1458 |
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value: 52.32963949183662
|
| 1459 |
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- type: map_at_1
|
| 1460 |
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value: 3.0159801678718168
|
| 1461 |
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- type: map_at_3
|
| 1462 |
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value: 7.13837927642557
|
| 1463 |
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- type: map_at_5
|
| 1464 |
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value: 9.274004610363466
|
| 1465 |
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- type: map_at_10
|
| 1466 |
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value: 12.957368366814324
|
| 1467 |
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- type: map_at_100
|
| 1468 |
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value: 19.3070585127604
|
| 1469 |
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- type: map_at_1000
|
| 1470 |
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value: 20.809777161133532
|
| 1471 |
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- type: precision_at_1
|
| 1472 |
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value: 34.69387755102041
|
| 1473 |
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- type: precision_at_3
|
| 1474 |
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value: 36.054421768707485
|
| 1475 |
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- type: precision_at_5
|
| 1476 |
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value: 32.24489795918368
|
| 1477 |
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- type: precision_at_10
|
| 1478 |
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value: 27.142857142857146
|
| 1479 |
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- type: precision_at_100
|
| 1480 |
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value: 8.326530612244898
|
| 1481 |
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- type: precision_at_1000
|
| 1482 |
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value: 1.5755102040816336
|
| 1483 |
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- type: recall_at_1
|
| 1484 |
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value: 3.0159801678718168
|
| 1485 |
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- type: recall_at_3
|
| 1486 |
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value: 8.321771388428257
|
| 1487 |
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- type: recall_at_5
|
| 1488 |
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value: 11.737532394366069
|
| 1489 |
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- type: recall_at_10
|
| 1490 |
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value: 19.49315139822179
|
| 1491 |
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- type: recall_at_100
|
| 1492 |
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value: 50.937064145519685
|
| 1493 |
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- type: recall_at_1000
|
| 1494 |
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value: 83.4358283484675
|
| 1495 |
+
task:
|
| 1496 |
+
type: Retrieval
|
| 1497 |
+
- dataset:
|
| 1498 |
+
config: default
|
| 1499 |
+
name: MTEB ToxicConversationsClassification
|
| 1500 |
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
|
| 1501 |
split: test
|
| 1502 |
type: mteb/toxic_conversations_50k
|
|
|
|
| 1513 |
type: Classification
|
| 1514 |
- dataset:
|
| 1515 |
config: default
|
| 1516 |
+
name: MTEB TweetSentimentExtractionClassification
|
| 1517 |
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 1518 |
split: test
|
| 1519 |
type: mteb/tweet_sentiment_extraction
|
|
|
|
| 1528 |
type: Classification
|
| 1529 |
- dataset:
|
| 1530 |
config: default
|
| 1531 |
+
name: MTEB TwentyNewsgroupsClustering
|
| 1532 |
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 1533 |
split: test
|
| 1534 |
type: mteb/twentynewsgroups-clustering
|
|
|
|
| 1543 |
type: Clustering
|
| 1544 |
- dataset:
|
| 1545 |
config: default
|
| 1546 |
+
name: MTEB TwitterSemEval2015
|
| 1547 |
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 1548 |
split: test
|
| 1549 |
type: mteb/twittersemeval2015-pairclassification
|
|
|
|
| 1616 |
type: PairClassification
|
| 1617 |
- dataset:
|
| 1618 |
config: default
|
| 1619 |
+
name: MTEB TwitterURLCorpus
|
| 1620 |
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 1621 |
split: test
|
| 1622 |
type: mteb/twitterurlcorpus-pairclassification
|
|
|
|
| 1687 |
value: 80.27105660516332
|
| 1688 |
task:
|
| 1689 |
type: PairClassification
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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| 1690 |
---
|
| 1691 |
|
| 1692 |
|
|
|
|
| 1709 |
- [ ] Evaluation Pipeline
|
| 1710 |
- [ ] Technical Report
|
| 1711 |
|
| 1712 |
+
We will release the technical report and training data for **BGE-EN-ICL** in the future.
|
| 1713 |
|
| 1714 |
|
| 1715 |
## Usage
|