Update README.md
Browse files
README.md
CHANGED
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@@ -2,6 +2,1773 @@
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tags:
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| 3 |
- transformers
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| 4 |
- mteb
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| 5 |
language:
|
| 6 |
- en
|
| 7 |
license: cc-by-nc-4.0
|
|
|
|
| 2 |
tags:
|
| 3 |
- transformers
|
| 4 |
- mteb
|
| 5 |
+
model-index:
|
| 6 |
+
- name: Linq-Embed-Mistral
|
| 7 |
+
results:
|
| 8 |
+
- task:
|
| 9 |
+
type: Classification
|
| 10 |
+
dataset:
|
| 11 |
+
type: mteb/amazon_counterfactual
|
| 12 |
+
name: MTEB AmazonCounterfactualClassification (en)
|
| 13 |
+
config: en
|
| 14 |
+
split: test
|
| 15 |
+
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 16 |
+
metrics:
|
| 17 |
+
- type: accuracy
|
| 18 |
+
value: 84.43283582089552
|
| 19 |
+
- type: ap
|
| 20 |
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value: 50.39222584035829
|
| 21 |
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- type: f1
|
| 22 |
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value: 78.47906270064071
|
| 23 |
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|
| 24 |
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type: Classification
|
| 25 |
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dataset:
|
| 26 |
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type: mteb/amazon_polarity
|
| 27 |
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name: MTEB AmazonPolarityClassification
|
| 28 |
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config: default
|
| 29 |
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split: test
|
| 30 |
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revision: e2d317d38cd51312af73b3d32a06d1a08b442046
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| 31 |
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|
| 32 |
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- type: accuracy
|
| 33 |
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value: 95.70445
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| 34 |
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|
| 35 |
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value: 94.28273900595173
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| 36 |
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|
| 37 |
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value: 95.70048412173735
|
| 38 |
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- task:
|
| 39 |
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type: Classification
|
| 40 |
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dataset:
|
| 41 |
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type: mteb/amazon_reviews_multi
|
| 42 |
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name: MTEB AmazonReviewsClassification (en)
|
| 43 |
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config: en
|
| 44 |
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| 45 |
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revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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| 46 |
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|
| 47 |
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- type: accuracy
|
| 48 |
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value: 57.644000000000005
|
| 49 |
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|
| 50 |
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value: 56.993648296704876
|
| 51 |
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|
| 52 |
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type: Retrieval
|
| 53 |
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dataset:
|
| 54 |
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type: mteb/arguana
|
| 55 |
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name: MTEB ArguAna
|
| 56 |
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| 57 |
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| 58 |
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|
| 60 |
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| 61 |
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value: 45.804
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| 62 |
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|
| 63 |
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value: 61.742
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| 65 |
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value: 62.07899999999999
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| 67 |
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value: 62.08
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value: 57.717
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| 71 |
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value: 60.27
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| 73 |
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value: 47.226
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| 75 |
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value: 62.256
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| 77 |
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value: 62.601
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| 79 |
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value: 58.203
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| 83 |
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| 87 |
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value: 69.649
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| 89 |
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value: 70.902
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value: 70.91199999999999
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value: 61.497
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value: 66.097
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value: 45.804
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| 99 |
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value: 9.452
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| 101 |
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value: 0.996
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| 103 |
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value: 0.1
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| 105 |
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value: 24.135
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| 107 |
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value: 16.714000000000002
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| 109 |
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value: 45.804
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| 111 |
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value: 94.523
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| 113 |
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value: 99.57300000000001
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value: 99.644
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| 117 |
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value: 72.404
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|
| 119 |
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value: 83.57
|
| 120 |
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- task:
|
| 121 |
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type: Clustering
|
| 122 |
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dataset:
|
| 123 |
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type: mteb/arxiv-clustering-p2p
|
| 124 |
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name: MTEB ArxivClusteringP2P
|
| 125 |
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config: default
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| 126 |
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split: test
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| 127 |
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
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| 128 |
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metrics:
|
| 129 |
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- type: v_measure
|
| 130 |
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value: 51.47612678878609
|
| 131 |
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- task:
|
| 132 |
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type: Clustering
|
| 133 |
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dataset:
|
| 134 |
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type: mteb/arxiv-clustering-s2s
|
| 135 |
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name: MTEB ArxivClusteringS2S
|
| 136 |
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config: default
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| 137 |
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split: test
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| 138 |
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revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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metrics:
|
| 140 |
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- type: v_measure
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| 141 |
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value: 47.2977392340418
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| 142 |
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- task:
|
| 143 |
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type: Reranking
|
| 144 |
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dataset:
|
| 145 |
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type: mteb/askubuntudupquestions-reranking
|
| 146 |
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name: MTEB AskUbuntuDupQuestions
|
| 147 |
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config: default
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| 148 |
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split: test
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| 149 |
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
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| 150 |
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metrics:
|
| 151 |
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- type: map
|
| 152 |
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value: 66.82016765243456
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value: 79.55227982236292
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| 155 |
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- task:
|
| 156 |
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type: STS
|
| 157 |
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dataset:
|
| 158 |
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type: mteb/biosses-sts
|
| 159 |
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name: MTEB BIOSSES
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| 160 |
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config: default
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| 161 |
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| 162 |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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| 163 |
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metrics:
|
| 164 |
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- type: cos_sim_pearson
|
| 165 |
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value: 89.15068664186332
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| 166 |
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- type: cos_sim_spearman
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value: 86.4013663041054
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- type: euclidean_pearson
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value: 87.36391302921588
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- type: euclidean_spearman
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value: 86.4013663041054
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- type: manhattan_pearson
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value: 87.46116676558589
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value: 86.78149544753352
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|
| 177 |
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type: Classification
|
| 178 |
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dataset:
|
| 179 |
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type: mteb/banking77
|
| 180 |
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name: MTEB Banking77Classification
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| 181 |
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config: default
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| 183 |
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metrics:
|
| 185 |
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value: 87.88311688311688
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| 188 |
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value: 87.82368154811464
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| 189 |
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|
| 190 |
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type: Clustering
|
| 191 |
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dataset:
|
| 192 |
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type: mteb/biorxiv-clustering-p2p
|
| 193 |
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name: MTEB BiorxivClusteringP2P
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| 194 |
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config: default
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| 198 |
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value: 42.72860396750569
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| 200 |
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- task:
|
| 201 |
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type: Clustering
|
| 202 |
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dataset:
|
| 203 |
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type: mteb/biorxiv-clustering-s2s
|
| 204 |
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name: MTEB BiorxivClusteringS2S
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| 205 |
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config: default
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split: test
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metrics:
|
| 209 |
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| 210 |
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value: 39.58412067938718
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| 211 |
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|
| 212 |
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type: Retrieval
|
| 213 |
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dataset:
|
| 214 |
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type: mteb/cqadupstack
|
| 215 |
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name: MTEB CQADupstackRetrieval
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| 216 |
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split: test
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|
| 220 |
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value: 42.45525
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| 281 |
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| 282 |
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dataset:
|
| 283 |
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type: mteb/climate-fever
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| 284 |
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name: MTEB ClimateFEVER
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| 285 |
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config: default
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| 286 |
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split: test
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| 289 |
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value: 16.747
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| 291 |
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| 326 |
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value: 37.524
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| 327 |
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| 328 |
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| 329 |
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| 330 |
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value: 18.762
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value: 16.747
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| 340 |
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| 344 |
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value: 86.119
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| 347 |
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|
| 348 |
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value: 36.565
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| 349 |
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|
| 350 |
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type: Retrieval
|
| 351 |
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dataset:
|
| 352 |
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type: mteb/dbpedia
|
| 353 |
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name: MTEB DBPedia
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| 354 |
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value: 22.438
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| 418 |
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- task:
|
| 419 |
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type: Classification
|
| 420 |
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dataset:
|
| 421 |
+
type: mteb/emotion
|
| 422 |
+
name: MTEB EmotionClassification
|
| 423 |
+
config: default
|
| 424 |
+
split: test
|
| 425 |
+
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 426 |
+
metrics:
|
| 427 |
+
- type: accuracy
|
| 428 |
+
value: 51.82
|
| 429 |
+
- type: f1
|
| 430 |
+
value: 47.794956731921054
|
| 431 |
+
- task:
|
| 432 |
+
type: Retrieval
|
| 433 |
+
dataset:
|
| 434 |
+
type: mteb/fever
|
| 435 |
+
name: MTEB FEVER
|
| 436 |
+
config: default
|
| 437 |
+
split: test
|
| 438 |
+
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
|
| 439 |
+
metrics:
|
| 440 |
+
- type: map_at_1
|
| 441 |
+
value: 82.52199999999999
|
| 442 |
+
- type: map_at_10
|
| 443 |
+
value: 89.794
|
| 444 |
+
- type: map_at_100
|
| 445 |
+
value: 89.962
|
| 446 |
+
- type: map_at_1000
|
| 447 |
+
value: 89.972
|
| 448 |
+
- type: map_at_3
|
| 449 |
+
value: 88.95100000000001
|
| 450 |
+
- type: map_at_5
|
| 451 |
+
value: 89.524
|
| 452 |
+
- type: mrr_at_1
|
| 453 |
+
value: 88.809
|
| 454 |
+
- type: mrr_at_10
|
| 455 |
+
value: 93.554
|
| 456 |
+
- type: mrr_at_100
|
| 457 |
+
value: 93.577
|
| 458 |
+
- type: mrr_at_1000
|
| 459 |
+
value: 93.577
|
| 460 |
+
- type: mrr_at_3
|
| 461 |
+
value: 93.324
|
| 462 |
+
- type: mrr_at_5
|
| 463 |
+
value: 93.516
|
| 464 |
+
- type: ndcg_at_1
|
| 465 |
+
value: 88.809
|
| 466 |
+
- type: ndcg_at_10
|
| 467 |
+
value: 92.419
|
| 468 |
+
- type: ndcg_at_100
|
| 469 |
+
value: 92.95
|
| 470 |
+
- type: ndcg_at_1000
|
| 471 |
+
value: 93.10000000000001
|
| 472 |
+
- type: ndcg_at_3
|
| 473 |
+
value: 91.45299999999999
|
| 474 |
+
- type: ndcg_at_5
|
| 475 |
+
value: 92.05
|
| 476 |
+
- type: precision_at_1
|
| 477 |
+
value: 88.809
|
| 478 |
+
- type: precision_at_10
|
| 479 |
+
value: 10.911999999999999
|
| 480 |
+
- type: precision_at_100
|
| 481 |
+
value: 1.143
|
| 482 |
+
- type: precision_at_1000
|
| 483 |
+
value: 0.117
|
| 484 |
+
- type: precision_at_3
|
| 485 |
+
value: 34.623
|
| 486 |
+
- type: precision_at_5
|
| 487 |
+
value: 21.343999999999998
|
| 488 |
+
- type: recall_at_1
|
| 489 |
+
value: 82.52199999999999
|
| 490 |
+
- type: recall_at_10
|
| 491 |
+
value: 96.59400000000001
|
| 492 |
+
- type: recall_at_100
|
| 493 |
+
value: 98.55699999999999
|
| 494 |
+
- type: recall_at_1000
|
| 495 |
+
value: 99.413
|
| 496 |
+
- type: recall_at_3
|
| 497 |
+
value: 94.02199999999999
|
| 498 |
+
- type: recall_at_5
|
| 499 |
+
value: 95.582
|
| 500 |
+
- task:
|
| 501 |
+
type: Retrieval
|
| 502 |
+
dataset:
|
| 503 |
+
type: mteb/fiqa
|
| 504 |
+
name: MTEB FiQA2018
|
| 505 |
+
config: default
|
| 506 |
+
split: test
|
| 507 |
+
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
|
| 508 |
+
metrics:
|
| 509 |
+
- type: map_at_1
|
| 510 |
+
value: 32.842
|
| 511 |
+
- type: map_at_10
|
| 512 |
+
value: 53.147
|
| 513 |
+
- type: map_at_100
|
| 514 |
+
value: 55.265
|
| 515 |
+
- type: map_at_1000
|
| 516 |
+
value: 55.37
|
| 517 |
+
- type: map_at_3
|
| 518 |
+
value: 46.495
|
| 519 |
+
- type: map_at_5
|
| 520 |
+
value: 50.214999999999996
|
| 521 |
+
- type: mrr_at_1
|
| 522 |
+
value: 61.574
|
| 523 |
+
- type: mrr_at_10
|
| 524 |
+
value: 68.426
|
| 525 |
+
- type: mrr_at_100
|
| 526 |
+
value: 68.935
|
| 527 |
+
- type: mrr_at_1000
|
| 528 |
+
value: 68.95400000000001
|
| 529 |
+
- type: mrr_at_3
|
| 530 |
+
value: 66.307
|
| 531 |
+
- type: mrr_at_5
|
| 532 |
+
value: 67.611
|
| 533 |
+
- type: ndcg_at_1
|
| 534 |
+
value: 61.574
|
| 535 |
+
- type: ndcg_at_10
|
| 536 |
+
value: 61.205
|
| 537 |
+
- type: ndcg_at_100
|
| 538 |
+
value: 67.25999999999999
|
| 539 |
+
- type: ndcg_at_1000
|
| 540 |
+
value: 68.657
|
| 541 |
+
- type: ndcg_at_3
|
| 542 |
+
value: 56.717
|
| 543 |
+
- type: ndcg_at_5
|
| 544 |
+
value: 58.196999999999996
|
| 545 |
+
- type: precision_at_1
|
| 546 |
+
value: 61.574
|
| 547 |
+
- type: precision_at_10
|
| 548 |
+
value: 16.852
|
| 549 |
+
- type: precision_at_100
|
| 550 |
+
value: 2.33
|
| 551 |
+
- type: precision_at_1000
|
| 552 |
+
value: 0.256
|
| 553 |
+
- type: precision_at_3
|
| 554 |
+
value: 37.5
|
| 555 |
+
- type: precision_at_5
|
| 556 |
+
value: 27.468999999999998
|
| 557 |
+
- type: recall_at_1
|
| 558 |
+
value: 32.842
|
| 559 |
+
- type: recall_at_10
|
| 560 |
+
value: 68.157
|
| 561 |
+
- type: recall_at_100
|
| 562 |
+
value: 89.5
|
| 563 |
+
- type: recall_at_1000
|
| 564 |
+
value: 97.68599999999999
|
| 565 |
+
- type: recall_at_3
|
| 566 |
+
value: 50.783
|
| 567 |
+
- type: recall_at_5
|
| 568 |
+
value: 58.672000000000004
|
| 569 |
+
- task:
|
| 570 |
+
type: Retrieval
|
| 571 |
+
dataset:
|
| 572 |
+
type: mteb/hotpotqa
|
| 573 |
+
name: MTEB HotpotQA
|
| 574 |
+
config: default
|
| 575 |
+
split: test
|
| 576 |
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revision: ab518f4d6fcca38d87c25209f94beba119d02014
|
| 577 |
+
metrics:
|
| 578 |
+
- type: map_at_1
|
| 579 |
+
value: 39.068000000000005
|
| 580 |
+
- type: map_at_10
|
| 581 |
+
value: 69.253
|
| 582 |
+
- type: map_at_100
|
| 583 |
+
value: 70.036
|
| 584 |
+
- type: map_at_1000
|
| 585 |
+
value: 70.081
|
| 586 |
+
- type: map_at_3
|
| 587 |
+
value: 65.621
|
| 588 |
+
- type: map_at_5
|
| 589 |
+
value: 67.976
|
| 590 |
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- type: mrr_at_1
|
| 591 |
+
value: 78.13600000000001
|
| 592 |
+
- type: mrr_at_10
|
| 593 |
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value: 84.328
|
| 594 |
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- type: mrr_at_100
|
| 595 |
+
value: 84.515
|
| 596 |
+
- type: mrr_at_1000
|
| 597 |
+
value: 84.52300000000001
|
| 598 |
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- type: mrr_at_3
|
| 599 |
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value: 83.52199999999999
|
| 600 |
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- type: mrr_at_5
|
| 601 |
+
value: 84.019
|
| 602 |
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- type: ndcg_at_1
|
| 603 |
+
value: 78.13600000000001
|
| 604 |
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- type: ndcg_at_10
|
| 605 |
+
value: 76.236
|
| 606 |
+
- type: ndcg_at_100
|
| 607 |
+
value: 78.891
|
| 608 |
+
- type: ndcg_at_1000
|
| 609 |
+
value: 79.73400000000001
|
| 610 |
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- type: ndcg_at_3
|
| 611 |
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value: 71.258
|
| 612 |
+
- type: ndcg_at_5
|
| 613 |
+
value: 74.129
|
| 614 |
+
- type: precision_at_1
|
| 615 |
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value: 78.13600000000001
|
| 616 |
+
- type: precision_at_10
|
| 617 |
+
value: 16.347
|
| 618 |
+
- type: precision_at_100
|
| 619 |
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value: 1.839
|
| 620 |
+
- type: precision_at_1000
|
| 621 |
+
value: 0.19499999999999998
|
| 622 |
+
- type: precision_at_3
|
| 623 |
+
value: 47.189
|
| 624 |
+
- type: precision_at_5
|
| 625 |
+
value: 30.581999999999997
|
| 626 |
+
- type: recall_at_1
|
| 627 |
+
value: 39.068000000000005
|
| 628 |
+
- type: recall_at_10
|
| 629 |
+
value: 81.735
|
| 630 |
+
- type: recall_at_100
|
| 631 |
+
value: 91.945
|
| 632 |
+
- type: recall_at_1000
|
| 633 |
+
value: 97.44800000000001
|
| 634 |
+
- type: recall_at_3
|
| 635 |
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value: 70.783
|
| 636 |
+
- type: recall_at_5
|
| 637 |
+
value: 76.455
|
| 638 |
+
- task:
|
| 639 |
+
type: Classification
|
| 640 |
+
dataset:
|
| 641 |
+
type: mteb/imdb
|
| 642 |
+
name: MTEB ImdbClassification
|
| 643 |
+
config: default
|
| 644 |
+
split: test
|
| 645 |
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revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
|
| 646 |
+
metrics:
|
| 647 |
+
- type: accuracy
|
| 648 |
+
value: 94.7764
|
| 649 |
+
- type: ap
|
| 650 |
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value: 92.67841294818406
|
| 651 |
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- type: f1
|
| 652 |
+
value: 94.77375157383646
|
| 653 |
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- task:
|
| 654 |
+
type: Retrieval
|
| 655 |
+
dataset:
|
| 656 |
+
type: mteb/msmarco
|
| 657 |
+
name: MTEB MSMARCO
|
| 658 |
+
config: default
|
| 659 |
+
split: dev
|
| 660 |
+
revision: c5a29a104738b98a9e76336939199e264163d4a0
|
| 661 |
+
metrics:
|
| 662 |
+
- type: map_at_1
|
| 663 |
+
value: 24.624
|
| 664 |
+
- type: map_at_10
|
| 665 |
+
value: 37.861
|
| 666 |
+
- type: map_at_100
|
| 667 |
+
value: 39.011
|
| 668 |
+
- type: map_at_1000
|
| 669 |
+
value: 39.052
|
| 670 |
+
- type: map_at_3
|
| 671 |
+
value: 33.76
|
| 672 |
+
- type: map_at_5
|
| 673 |
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value: 36.153
|
| 674 |
+
- type: mrr_at_1
|
| 675 |
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value: 25.358000000000004
|
| 676 |
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- type: mrr_at_10
|
| 677 |
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value: 38.5
|
| 678 |
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- type: mrr_at_100
|
| 679 |
+
value: 39.572
|
| 680 |
+
- type: mrr_at_1000
|
| 681 |
+
value: 39.607
|
| 682 |
+
- type: mrr_at_3
|
| 683 |
+
value: 34.491
|
| 684 |
+
- type: mrr_at_5
|
| 685 |
+
value: 36.83
|
| 686 |
+
- type: ndcg_at_1
|
| 687 |
+
value: 25.358000000000004
|
| 688 |
+
- type: ndcg_at_10
|
| 689 |
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value: 45.214999999999996
|
| 690 |
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- type: ndcg_at_100
|
| 691 |
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value: 50.56
|
| 692 |
+
- type: ndcg_at_1000
|
| 693 |
+
value: 51.507999999999996
|
| 694 |
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- type: ndcg_at_3
|
| 695 |
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value: 36.925999999999995
|
| 696 |
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- type: ndcg_at_5
|
| 697 |
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value: 41.182
|
| 698 |
+
- type: precision_at_1
|
| 699 |
+
value: 25.358000000000004
|
| 700 |
+
- type: precision_at_10
|
| 701 |
+
value: 7.090000000000001
|
| 702 |
+
- type: precision_at_100
|
| 703 |
+
value: 0.9740000000000001
|
| 704 |
+
- type: precision_at_1000
|
| 705 |
+
value: 0.106
|
| 706 |
+
- type: precision_at_3
|
| 707 |
+
value: 15.697
|
| 708 |
+
- type: precision_at_5
|
| 709 |
+
value: 11.599
|
| 710 |
+
- type: recall_at_1
|
| 711 |
+
value: 24.624
|
| 712 |
+
- type: recall_at_10
|
| 713 |
+
value: 67.78699999999999
|
| 714 |
+
- type: recall_at_100
|
| 715 |
+
value: 92.11200000000001
|
| 716 |
+
- type: recall_at_1000
|
| 717 |
+
value: 99.208
|
| 718 |
+
- type: recall_at_3
|
| 719 |
+
value: 45.362
|
| 720 |
+
- type: recall_at_5
|
| 721 |
+
value: 55.58
|
| 722 |
+
- task:
|
| 723 |
+
type: Classification
|
| 724 |
+
dataset:
|
| 725 |
+
type: mteb/mtop_domain
|
| 726 |
+
name: MTEB MTOPDomainClassification (en)
|
| 727 |
+
config: en
|
| 728 |
+
split: test
|
| 729 |
+
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 730 |
+
metrics:
|
| 731 |
+
- type: accuracy
|
| 732 |
+
value: 96.83310533515733
|
| 733 |
+
- type: f1
|
| 734 |
+
value: 96.57069781347995
|
| 735 |
+
- task:
|
| 736 |
+
type: Classification
|
| 737 |
+
dataset:
|
| 738 |
+
type: mteb/mtop_intent
|
| 739 |
+
name: MTEB MTOPIntentClassification (en)
|
| 740 |
+
config: en
|
| 741 |
+
split: test
|
| 742 |
+
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 743 |
+
metrics:
|
| 744 |
+
- type: accuracy
|
| 745 |
+
value: 89.5690834473324
|
| 746 |
+
- type: f1
|
| 747 |
+
value: 73.7275204564728
|
| 748 |
+
- task:
|
| 749 |
+
type: Classification
|
| 750 |
+
dataset:
|
| 751 |
+
type: mteb/amazon_massive_intent
|
| 752 |
+
name: MTEB MassiveIntentClassification (en)
|
| 753 |
+
config: en
|
| 754 |
+
split: test
|
| 755 |
+
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
|
| 756 |
+
metrics:
|
| 757 |
+
- type: accuracy
|
| 758 |
+
value: 82.67316745124411
|
| 759 |
+
- type: f1
|
| 760 |
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value: 79.70626515721662
|
| 761 |
+
- task:
|
| 762 |
+
type: Classification
|
| 763 |
+
dataset:
|
| 764 |
+
type: mteb/amazon_massive_scenario
|
| 765 |
+
name: MTEB MassiveScenarioClassification (en)
|
| 766 |
+
config: en
|
| 767 |
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split: test
|
| 768 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 769 |
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metrics:
|
| 770 |
+
- type: accuracy
|
| 771 |
+
value: 85.01344989912575
|
| 772 |
+
- type: f1
|
| 773 |
+
value: 84.45181022816965
|
| 774 |
+
- task:
|
| 775 |
+
type: Clustering
|
| 776 |
+
dataset:
|
| 777 |
+
type: mteb/medrxiv-clustering-p2p
|
| 778 |
+
name: MTEB MedrxivClusteringP2P
|
| 779 |
+
config: default
|
| 780 |
+
split: test
|
| 781 |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 782 |
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metrics:
|
| 783 |
+
- type: v_measure
|
| 784 |
+
value: 37.843426126777295
|
| 785 |
+
- task:
|
| 786 |
+
type: Clustering
|
| 787 |
+
dataset:
|
| 788 |
+
type: mteb/medrxiv-clustering-s2s
|
| 789 |
+
name: MTEB MedrxivClusteringS2S
|
| 790 |
+
config: default
|
| 791 |
+
split: test
|
| 792 |
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 793 |
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metrics:
|
| 794 |
+
- type: v_measure
|
| 795 |
+
value: 36.651728547241476
|
| 796 |
+
- task:
|
| 797 |
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type: Reranking
|
| 798 |
+
dataset:
|
| 799 |
+
type: mteb/mind_small
|
| 800 |
+
name: MTEB MindSmallReranking
|
| 801 |
+
config: default
|
| 802 |
+
split: test
|
| 803 |
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revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
|
| 804 |
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metrics:
|
| 805 |
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- type: map
|
| 806 |
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value: 32.05750522793288
|
| 807 |
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- type: mrr
|
| 808 |
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value: 33.28067556869468
|
| 809 |
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- task:
|
| 810 |
+
type: Retrieval
|
| 811 |
+
dataset:
|
| 812 |
+
type: mteb/nfcorpus
|
| 813 |
+
name: MTEB NFCorpus
|
| 814 |
+
config: default
|
| 815 |
+
split: test
|
| 816 |
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revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
|
| 817 |
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metrics:
|
| 818 |
+
- type: map_at_1
|
| 819 |
+
value: 6.744
|
| 820 |
+
- type: map_at_10
|
| 821 |
+
value: 16.235
|
| 822 |
+
- type: map_at_100
|
| 823 |
+
value: 20.767
|
| 824 |
+
- type: map_at_1000
|
| 825 |
+
value: 22.469
|
| 826 |
+
- type: map_at_3
|
| 827 |
+
value: 11.708
|
| 828 |
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- type: map_at_5
|
| 829 |
+
value: 13.924
|
| 830 |
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- type: mrr_at_1
|
| 831 |
+
value: 55.728
|
| 832 |
+
- type: mrr_at_10
|
| 833 |
+
value: 63.869
|
| 834 |
+
- type: mrr_at_100
|
| 835 |
+
value: 64.322
|
| 836 |
+
- type: mrr_at_1000
|
| 837 |
+
value: 64.342
|
| 838 |
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- type: mrr_at_3
|
| 839 |
+
value: 62.022999999999996
|
| 840 |
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- type: mrr_at_5
|
| 841 |
+
value: 63.105999999999995
|
| 842 |
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- type: ndcg_at_1
|
| 843 |
+
value: 53.096
|
| 844 |
+
- type: ndcg_at_10
|
| 845 |
+
value: 41.618
|
| 846 |
+
- type: ndcg_at_100
|
| 847 |
+
value: 38.562999999999995
|
| 848 |
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- type: ndcg_at_1000
|
| 849 |
+
value: 47.006
|
| 850 |
+
- type: ndcg_at_3
|
| 851 |
+
value: 47.657
|
| 852 |
+
- type: ndcg_at_5
|
| 853 |
+
value: 45.562999999999995
|
| 854 |
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- type: precision_at_1
|
| 855 |
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value: 55.108000000000004
|
| 856 |
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- type: precision_at_10
|
| 857 |
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value: 30.464000000000002
|
| 858 |
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- type: precision_at_100
|
| 859 |
+
value: 9.737
|
| 860 |
+
- type: precision_at_1000
|
| 861 |
+
value: 2.2720000000000002
|
| 862 |
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- type: precision_at_3
|
| 863 |
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value: 44.376
|
| 864 |
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- type: precision_at_5
|
| 865 |
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value: 39.505
|
| 866 |
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- type: recall_at_1
|
| 867 |
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value: 6.744
|
| 868 |
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- type: recall_at_10
|
| 869 |
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value: 21.11
|
| 870 |
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- type: recall_at_100
|
| 871 |
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value: 39.69
|
| 872 |
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- type: recall_at_1000
|
| 873 |
+
value: 70.44
|
| 874 |
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- type: recall_at_3
|
| 875 |
+
value: 13.120000000000001
|
| 876 |
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- type: recall_at_5
|
| 877 |
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value: 16.669
|
| 878 |
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- task:
|
| 879 |
+
type: Retrieval
|
| 880 |
+
dataset:
|
| 881 |
+
type: mteb/nq
|
| 882 |
+
name: MTEB NQ
|
| 883 |
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config: default
|
| 884 |
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split: test
|
| 885 |
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revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
|
| 886 |
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metrics:
|
| 887 |
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- type: map_at_1
|
| 888 |
+
value: 46.263
|
| 889 |
+
- type: map_at_10
|
| 890 |
+
value: 63.525
|
| 891 |
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- type: map_at_100
|
| 892 |
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value: 64.142
|
| 893 |
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- type: map_at_1000
|
| 894 |
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value: 64.14800000000001
|
| 895 |
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- type: map_at_3
|
| 896 |
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value: 59.653
|
| 897 |
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- type: map_at_5
|
| 898 |
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value: 62.244
|
| 899 |
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- type: mrr_at_1
|
| 900 |
+
value: 51.796
|
| 901 |
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- type: mrr_at_10
|
| 902 |
+
value: 65.764
|
| 903 |
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- type: mrr_at_100
|
| 904 |
+
value: 66.155
|
| 905 |
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- type: mrr_at_1000
|
| 906 |
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value: 66.158
|
| 907 |
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- type: mrr_at_3
|
| 908 |
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value: 63.05500000000001
|
| 909 |
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- type: mrr_at_5
|
| 910 |
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value: 64.924
|
| 911 |
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- type: ndcg_at_1
|
| 912 |
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value: 51.766999999999996
|
| 913 |
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- type: ndcg_at_10
|
| 914 |
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value: 70.626
|
| 915 |
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- type: ndcg_at_100
|
| 916 |
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value: 72.905
|
| 917 |
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- type: ndcg_at_1000
|
| 918 |
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value: 73.021
|
| 919 |
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- type: ndcg_at_3
|
| 920 |
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value: 63.937999999999995
|
| 921 |
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- type: ndcg_at_5
|
| 922 |
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value: 68.00699999999999
|
| 923 |
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- type: precision_at_1
|
| 924 |
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value: 51.766999999999996
|
| 925 |
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- type: precision_at_10
|
| 926 |
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value: 10.768
|
| 927 |
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- type: precision_at_100
|
| 928 |
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value: 1.203
|
| 929 |
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- type: precision_at_1000
|
| 930 |
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value: 0.121
|
| 931 |
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- type: precision_at_3
|
| 932 |
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value: 28.409000000000002
|
| 933 |
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- type: precision_at_5
|
| 934 |
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value: 19.502
|
| 935 |
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- type: recall_at_1
|
| 936 |
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value: 46.263
|
| 937 |
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- type: recall_at_10
|
| 938 |
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value: 89.554
|
| 939 |
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- type: recall_at_100
|
| 940 |
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value: 98.914
|
| 941 |
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- type: recall_at_1000
|
| 942 |
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value: 99.754
|
| 943 |
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- type: recall_at_3
|
| 944 |
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value: 72.89999999999999
|
| 945 |
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- type: recall_at_5
|
| 946 |
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value: 82.1
|
| 947 |
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- task:
|
| 948 |
+
type: Retrieval
|
| 949 |
+
dataset:
|
| 950 |
+
type: mteb/quora
|
| 951 |
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name: MTEB QuoraRetrieval
|
| 952 |
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config: default
|
| 953 |
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split: test
|
| 954 |
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revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
|
| 955 |
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metrics:
|
| 956 |
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- type: map_at_1
|
| 957 |
+
value: 72.748
|
| 958 |
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- type: map_at_10
|
| 959 |
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value: 86.87700000000001
|
| 960 |
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- type: map_at_100
|
| 961 |
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value: 87.46199999999999
|
| 962 |
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- type: map_at_1000
|
| 963 |
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value: 87.47399999999999
|
| 964 |
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- type: map_at_3
|
| 965 |
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value: 83.95700000000001
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| 966 |
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- type: map_at_5
|
| 967 |
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value: 85.82300000000001
|
| 968 |
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- type: mrr_at_1
|
| 969 |
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value: 83.62
|
| 970 |
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- type: mrr_at_10
|
| 971 |
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value: 89.415
|
| 972 |
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- type: mrr_at_100
|
| 973 |
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value: 89.484
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| 974 |
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- type: mrr_at_1000
|
| 975 |
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value: 89.484
|
| 976 |
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- type: mrr_at_3
|
| 977 |
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value: 88.633
|
| 978 |
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- type: mrr_at_5
|
| 979 |
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value: 89.176
|
| 980 |
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- type: ndcg_at_1
|
| 981 |
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value: 83.62
|
| 982 |
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- type: ndcg_at_10
|
| 983 |
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value: 90.27
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| 984 |
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- type: ndcg_at_100
|
| 985 |
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value: 91.23599999999999
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| 986 |
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- type: ndcg_at_1000
|
| 987 |
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value: 91.293
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| 988 |
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- type: ndcg_at_3
|
| 989 |
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value: 87.69500000000001
|
| 990 |
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- type: ndcg_at_5
|
| 991 |
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value: 89.171
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| 992 |
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- type: precision_at_1
|
| 993 |
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value: 83.62
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| 994 |
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- type: precision_at_10
|
| 995 |
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value: 13.683
|
| 996 |
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- type: precision_at_100
|
| 997 |
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value: 1.542
|
| 998 |
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- type: precision_at_1000
|
| 999 |
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value: 0.157
|
| 1000 |
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- type: precision_at_3
|
| 1001 |
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value: 38.363
|
| 1002 |
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- type: precision_at_5
|
| 1003 |
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value: 25.196
|
| 1004 |
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- type: recall_at_1
|
| 1005 |
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value: 72.748
|
| 1006 |
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- type: recall_at_10
|
| 1007 |
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value: 96.61699999999999
|
| 1008 |
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- type: recall_at_100
|
| 1009 |
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value: 99.789
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| 1010 |
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- type: recall_at_1000
|
| 1011 |
+
value: 99.997
|
| 1012 |
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- type: recall_at_3
|
| 1013 |
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value: 89.21
|
| 1014 |
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- type: recall_at_5
|
| 1015 |
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value: 93.418
|
| 1016 |
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- task:
|
| 1017 |
+
type: Clustering
|
| 1018 |
+
dataset:
|
| 1019 |
+
type: mteb/reddit-clustering
|
| 1020 |
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name: MTEB RedditClustering
|
| 1021 |
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config: default
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| 1022 |
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split: test
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| 1023 |
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revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 1024 |
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metrics:
|
| 1025 |
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- type: v_measure
|
| 1026 |
+
value: 61.51909029379199
|
| 1027 |
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- task:
|
| 1028 |
+
type: Clustering
|
| 1029 |
+
dataset:
|
| 1030 |
+
type: mteb/reddit-clustering-p2p
|
| 1031 |
+
name: MTEB RedditClusteringP2P
|
| 1032 |
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config: default
|
| 1033 |
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split: test
|
| 1034 |
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revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
|
| 1035 |
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metrics:
|
| 1036 |
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- type: v_measure
|
| 1037 |
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value: 68.24483162045645
|
| 1038 |
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- task:
|
| 1039 |
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type: Retrieval
|
| 1040 |
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dataset:
|
| 1041 |
+
type: mteb/scidocs
|
| 1042 |
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name: MTEB SCIDOCS
|
| 1043 |
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config: default
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| 1044 |
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split: test
|
| 1045 |
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revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
|
| 1046 |
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metrics:
|
| 1047 |
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- type: map_at_1
|
| 1048 |
+
value: 4.793
|
| 1049 |
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- type: map_at_10
|
| 1050 |
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value: 13.092
|
| 1051 |
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- type: map_at_100
|
| 1052 |
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value: 15.434000000000001
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| 1053 |
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- type: map_at_1000
|
| 1054 |
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value: 15.748999999999999
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| 1055 |
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- type: map_at_3
|
| 1056 |
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value: 9.139
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| 1057 |
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- type: map_at_5
|
| 1058 |
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value: 11.033
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| 1059 |
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- type: mrr_at_1
|
| 1060 |
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value: 23.599999999999998
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| 1061 |
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- type: mrr_at_10
|
| 1062 |
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value: 35.892
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| 1063 |
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- type: mrr_at_100
|
| 1064 |
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value: 36.962
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| 1065 |
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- type: mrr_at_1000
|
| 1066 |
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value: 37.009
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| 1067 |
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- type: mrr_at_3
|
| 1068 |
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value: 32.550000000000004
|
| 1069 |
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- type: mrr_at_5
|
| 1070 |
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value: 34.415
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| 1071 |
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- type: ndcg_at_1
|
| 1072 |
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value: 23.599999999999998
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| 1073 |
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- type: ndcg_at_10
|
| 1074 |
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value: 21.932
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| 1075 |
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- type: ndcg_at_100
|
| 1076 |
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value: 30.433
|
| 1077 |
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- type: ndcg_at_1000
|
| 1078 |
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value: 35.668
|
| 1079 |
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- type: ndcg_at_3
|
| 1080 |
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value: 20.483999999999998
|
| 1081 |
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- type: ndcg_at_5
|
| 1082 |
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value: 17.964
|
| 1083 |
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- type: precision_at_1
|
| 1084 |
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value: 23.599999999999998
|
| 1085 |
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- type: precision_at_10
|
| 1086 |
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value: 11.63
|
| 1087 |
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- type: precision_at_100
|
| 1088 |
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value: 2.383
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| 1089 |
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- type: precision_at_1000
|
| 1090 |
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value: 0.363
|
| 1091 |
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- type: precision_at_3
|
| 1092 |
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value: 19.567
|
| 1093 |
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- type: precision_at_5
|
| 1094 |
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value: 16.06
|
| 1095 |
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- type: recall_at_1
|
| 1096 |
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value: 4.793
|
| 1097 |
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- type: recall_at_10
|
| 1098 |
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value: 23.558
|
| 1099 |
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- type: recall_at_100
|
| 1100 |
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value: 48.376999999999995
|
| 1101 |
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- type: recall_at_1000
|
| 1102 |
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value: 73.75699999999999
|
| 1103 |
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- type: recall_at_3
|
| 1104 |
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value: 11.903
|
| 1105 |
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- type: recall_at_5
|
| 1106 |
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value: 16.278000000000002
|
| 1107 |
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- task:
|
| 1108 |
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type: STS
|
| 1109 |
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dataset:
|
| 1110 |
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type: mteb/sickr-sts
|
| 1111 |
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name: MTEB SICK-R
|
| 1112 |
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config: default
|
| 1113 |
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split: test
|
| 1114 |
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revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
|
| 1115 |
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metrics:
|
| 1116 |
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- type: cos_sim_pearson
|
| 1117 |
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value: 87.31937967632581
|
| 1118 |
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- type: cos_sim_spearman
|
| 1119 |
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value: 84.30523596401186
|
| 1120 |
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- type: euclidean_pearson
|
| 1121 |
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value: 84.19537987069458
|
| 1122 |
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- type: euclidean_spearman
|
| 1123 |
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value: 84.30522052876
|
| 1124 |
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- type: manhattan_pearson
|
| 1125 |
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value: 84.16420807244911
|
| 1126 |
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- type: manhattan_spearman
|
| 1127 |
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value: 84.28515410219309
|
| 1128 |
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- task:
|
| 1129 |
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type: STS
|
| 1130 |
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dataset:
|
| 1131 |
+
type: mteb/sts12-sts
|
| 1132 |
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name: MTEB STS12
|
| 1133 |
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config: default
|
| 1134 |
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split: test
|
| 1135 |
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revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 1136 |
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metrics:
|
| 1137 |
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- type: cos_sim_pearson
|
| 1138 |
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value: 86.17180810119646
|
| 1139 |
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- type: cos_sim_spearman
|
| 1140 |
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value: 78.44413657529002
|
| 1141 |
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- type: euclidean_pearson
|
| 1142 |
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value: 81.69054139101816
|
| 1143 |
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- type: euclidean_spearman
|
| 1144 |
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value: 78.44412412142488
|
| 1145 |
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- type: manhattan_pearson
|
| 1146 |
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value: 82.04975789626462
|
| 1147 |
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- type: manhattan_spearman
|
| 1148 |
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value: 78.78390856857253
|
| 1149 |
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- task:
|
| 1150 |
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type: STS
|
| 1151 |
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dataset:
|
| 1152 |
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type: mteb/sts13-sts
|
| 1153 |
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name: MTEB STS13
|
| 1154 |
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config: default
|
| 1155 |
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split: test
|
| 1156 |
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revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 1157 |
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metrics:
|
| 1158 |
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- type: cos_sim_pearson
|
| 1159 |
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value: 88.35737871089687
|
| 1160 |
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- type: cos_sim_spearman
|
| 1161 |
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value: 88.26850223126127
|
| 1162 |
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- type: euclidean_pearson
|
| 1163 |
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value: 87.44100858335746
|
| 1164 |
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- type: euclidean_spearman
|
| 1165 |
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value: 88.26850223126127
|
| 1166 |
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- type: manhattan_pearson
|
| 1167 |
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value: 87.61572015772133
|
| 1168 |
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- type: manhattan_spearman
|
| 1169 |
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value: 88.56229552813319
|
| 1170 |
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- task:
|
| 1171 |
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type: STS
|
| 1172 |
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dataset:
|
| 1173 |
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type: mteb/sts14-sts
|
| 1174 |
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name: MTEB STS14
|
| 1175 |
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config: default
|
| 1176 |
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split: test
|
| 1177 |
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revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 1178 |
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metrics:
|
| 1179 |
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- type: cos_sim_pearson
|
| 1180 |
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value: 86.8395966764906
|
| 1181 |
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- type: cos_sim_spearman
|
| 1182 |
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value: 84.49441798385489
|
| 1183 |
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- type: euclidean_pearson
|
| 1184 |
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value: 85.3259176121388
|
| 1185 |
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- type: euclidean_spearman
|
| 1186 |
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value: 84.49442124804686
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| 1187 |
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- type: manhattan_pearson
|
| 1188 |
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value: 85.35153862806513
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| 1189 |
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- type: manhattan_spearman
|
| 1190 |
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value: 84.60094577432503
|
| 1191 |
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- task:
|
| 1192 |
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type: STS
|
| 1193 |
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dataset:
|
| 1194 |
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type: mteb/sts15-sts
|
| 1195 |
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name: MTEB STS15
|
| 1196 |
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config: default
|
| 1197 |
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split: test
|
| 1198 |
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revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
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| 1199 |
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metrics:
|
| 1200 |
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- type: cos_sim_pearson
|
| 1201 |
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value: 90.14048269057345
|
| 1202 |
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- type: cos_sim_spearman
|
| 1203 |
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value: 90.27866978947013
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| 1204 |
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- type: euclidean_pearson
|
| 1205 |
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value: 89.35308361940393
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| 1206 |
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- type: euclidean_spearman
|
| 1207 |
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value: 90.27866978947013
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| 1208 |
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- type: manhattan_pearson
|
| 1209 |
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value: 89.37601244066997
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| 1210 |
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- type: manhattan_spearman
|
| 1211 |
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value: 90.42707449698062
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| 1212 |
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- task:
|
| 1213 |
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type: STS
|
| 1214 |
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dataset:
|
| 1215 |
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type: mteb/sts16-sts
|
| 1216 |
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name: MTEB STS16
|
| 1217 |
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config: default
|
| 1218 |
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split: test
|
| 1219 |
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revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 1220 |
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metrics:
|
| 1221 |
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- type: cos_sim_pearson
|
| 1222 |
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value: 86.8522678865688
|
| 1223 |
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- type: cos_sim_spearman
|
| 1224 |
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value: 87.37396401580446
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| 1225 |
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- type: euclidean_pearson
|
| 1226 |
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value: 86.37219665505377
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| 1227 |
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- type: euclidean_spearman
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| 1228 |
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value: 87.37396385867791
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| 1229 |
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- type: manhattan_pearson
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| 1230 |
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value: 86.44628823799896
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| 1231 |
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- type: manhattan_spearman
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| 1232 |
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value: 87.49116026788859
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| 1233 |
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- task:
|
| 1234 |
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type: STS
|
| 1235 |
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dataset:
|
| 1236 |
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type: mteb/sts17-crosslingual-sts
|
| 1237 |
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name: MTEB STS17 (en-en)
|
| 1238 |
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config: en-en
|
| 1239 |
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split: test
|
| 1240 |
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revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
| 1241 |
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metrics:
|
| 1242 |
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- type: cos_sim_pearson
|
| 1243 |
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value: 92.94248481968916
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| 1244 |
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- type: cos_sim_spearman
|
| 1245 |
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value: 92.68185242943188
|
| 1246 |
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- type: euclidean_pearson
|
| 1247 |
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value: 92.33802342092979
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| 1248 |
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- type: euclidean_spearman
|
| 1249 |
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value: 92.68185242943188
|
| 1250 |
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- type: manhattan_pearson
|
| 1251 |
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value: 92.2011323340474
|
| 1252 |
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- type: manhattan_spearman
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| 1253 |
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value: 92.43364757640346
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| 1254 |
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- task:
|
| 1255 |
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type: STS
|
| 1256 |
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dataset:
|
| 1257 |
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type: mteb/sts22-crosslingual-sts
|
| 1258 |
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name: MTEB STS22 (en)
|
| 1259 |
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config: en
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| 1260 |
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split: test
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| 1261 |
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revision: eea2b4fe26a775864c896887d910b76a8098ad3f
|
| 1262 |
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metrics:
|
| 1263 |
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- type: cos_sim_pearson
|
| 1264 |
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value: 70.2918782293091
|
| 1265 |
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- type: cos_sim_spearman
|
| 1266 |
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value: 68.61986257003369
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| 1267 |
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- type: euclidean_pearson
|
| 1268 |
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value: 70.51920905899138
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| 1269 |
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- type: euclidean_spearman
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| 1270 |
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value: 68.61986257003369
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| 1271 |
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- type: manhattan_pearson
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| 1272 |
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value: 70.64673843811433
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| 1273 |
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- type: manhattan_spearman
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value: 68.86711466517345
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| 1275 |
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- task:
|
| 1276 |
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type: STS
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| 1277 |
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dataset:
|
| 1278 |
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type: mteb/stsbenchmark-sts
|
| 1279 |
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name: MTEB STSBenchmark
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| 1280 |
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config: default
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| 1281 |
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split: test
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| 1282 |
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revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 1283 |
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metrics:
|
| 1284 |
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- type: cos_sim_pearson
|
| 1285 |
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value: 88.62956838105524
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| 1286 |
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- type: cos_sim_spearman
|
| 1287 |
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value: 88.80650007123052
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| 1288 |
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- type: euclidean_pearson
|
| 1289 |
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value: 88.37976252122822
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| 1290 |
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- type: euclidean_spearman
|
| 1291 |
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value: 88.80650007123052
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| 1292 |
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- type: manhattan_pearson
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| 1293 |
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value: 88.49866938476616
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| 1294 |
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- type: manhattan_spearman
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| 1295 |
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value: 89.02489665452616
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| 1296 |
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- task:
|
| 1297 |
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type: Reranking
|
| 1298 |
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dataset:
|
| 1299 |
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type: mteb/scidocs-reranking
|
| 1300 |
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name: MTEB SciDocsRR
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| 1301 |
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config: default
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| 1302 |
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split: test
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| 1303 |
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revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
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| 1304 |
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metrics:
|
| 1305 |
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- type: map
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| 1306 |
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value: 86.40175229911527
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| 1307 |
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- type: mrr
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| 1308 |
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value: 96.61958230585682
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| 1309 |
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- task:
|
| 1310 |
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type: Retrieval
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| 1311 |
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dataset:
|
| 1312 |
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type: mteb/scifact
|
| 1313 |
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name: MTEB SciFact
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| 1314 |
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config: default
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| 1315 |
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split: test
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| 1316 |
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revision: 0228b52cf27578f30900b9e5271d331663a030d7
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| 1317 |
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metrics:
|
| 1318 |
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- type: map_at_1
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| 1319 |
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value: 63.05
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| 1320 |
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- type: map_at_10
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| 1321 |
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value: 73.844
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| 1322 |
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- type: map_at_100
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| 1323 |
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value: 74.313
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| 1324 |
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- type: map_at_1000
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| 1325 |
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value: 74.321
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| 1326 |
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- type: map_at_3
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| 1327 |
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value: 71.17999999999999
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| 1328 |
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- type: map_at_5
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| 1329 |
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value: 72.842
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| 1330 |
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- type: mrr_at_1
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| 1331 |
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value: 65.667
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| 1332 |
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- type: mrr_at_10
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| 1333 |
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value: 74.772
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| 1334 |
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- type: mrr_at_100
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| 1335 |
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value: 75.087
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| 1336 |
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- type: mrr_at_1000
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| 1337 |
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value: 75.095
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| 1338 |
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- type: mrr_at_3
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| 1339 |
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value: 72.944
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| 1340 |
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- type: mrr_at_5
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| 1341 |
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value: 74.078
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| 1342 |
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- type: ndcg_at_1
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| 1343 |
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value: 65.667
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| 1344 |
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| 1345 |
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value: 78.31700000000001
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| 1346 |
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- type: ndcg_at_100
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| 1347 |
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value: 79.969
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| 1348 |
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- type: ndcg_at_1000
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| 1349 |
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value: 80.25
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| 1350 |
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- type: ndcg_at_3
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| 1351 |
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value: 74.099
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| 1352 |
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- type: ndcg_at_5
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| 1353 |
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value: 76.338
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| 1354 |
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- type: precision_at_1
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| 1355 |
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value: 65.667
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| 1356 |
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- type: precision_at_10
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| 1357 |
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value: 10.233
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| 1358 |
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- type: precision_at_100
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| 1359 |
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value: 1.107
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| 1360 |
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- type: precision_at_1000
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| 1361 |
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value: 0.11299999999999999
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| 1362 |
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- type: precision_at_3
|
| 1363 |
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value: 28.889
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| 1364 |
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- type: precision_at_5
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| 1365 |
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value: 19.0
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| 1366 |
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- type: recall_at_1
|
| 1367 |
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value: 63.05
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| 1368 |
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- type: recall_at_10
|
| 1369 |
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value: 90.822
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| 1370 |
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- type: recall_at_100
|
| 1371 |
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value: 97.667
|
| 1372 |
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- type: recall_at_1000
|
| 1373 |
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value: 100.0
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| 1374 |
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- type: recall_at_3
|
| 1375 |
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value: 79.489
|
| 1376 |
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- type: recall_at_5
|
| 1377 |
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value: 85.161
|
| 1378 |
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- task:
|
| 1379 |
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type: PairClassification
|
| 1380 |
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dataset:
|
| 1381 |
+
type: mteb/sprintduplicatequestions-pairclassification
|
| 1382 |
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name: MTEB SprintDuplicateQuestions
|
| 1383 |
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config: default
|
| 1384 |
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split: test
|
| 1385 |
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revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
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| 1386 |
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metrics:
|
| 1387 |
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- type: cos_sim_accuracy
|
| 1388 |
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value: 99.83564356435643
|
| 1389 |
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- type: cos_sim_ap
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| 1390 |
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value: 96.10619363017767
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| 1391 |
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- type: cos_sim_f1
|
| 1392 |
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value: 91.61225514816677
|
| 1393 |
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- type: cos_sim_precision
|
| 1394 |
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value: 92.02825428859738
|
| 1395 |
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- type: cos_sim_recall
|
| 1396 |
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value: 91.2
|
| 1397 |
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- type: dot_accuracy
|
| 1398 |
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value: 99.83564356435643
|
| 1399 |
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- type: dot_ap
|
| 1400 |
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value: 96.10619363017767
|
| 1401 |
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- type: dot_f1
|
| 1402 |
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value: 91.61225514816677
|
| 1403 |
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- type: dot_precision
|
| 1404 |
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value: 92.02825428859738
|
| 1405 |
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- type: dot_recall
|
| 1406 |
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value: 91.2
|
| 1407 |
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- type: euclidean_accuracy
|
| 1408 |
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value: 99.83564356435643
|
| 1409 |
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- type: euclidean_ap
|
| 1410 |
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value: 96.10619363017769
|
| 1411 |
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- type: euclidean_f1
|
| 1412 |
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value: 91.61225514816677
|
| 1413 |
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- type: euclidean_precision
|
| 1414 |
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value: 92.02825428859738
|
| 1415 |
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- type: euclidean_recall
|
| 1416 |
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value: 91.2
|
| 1417 |
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- type: manhattan_accuracy
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| 1418 |
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value: 99.84158415841584
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| 1419 |
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- type: manhattan_ap
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| 1420 |
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value: 96.27527798658713
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| 1421 |
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- type: manhattan_f1
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| 1422 |
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value: 92.0
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| 1423 |
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- type: manhattan_precision
|
| 1424 |
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value: 92.0
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| 1425 |
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- type: manhattan_recall
|
| 1426 |
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value: 92.0
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| 1427 |
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- type: max_accuracy
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| 1428 |
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value: 99.84158415841584
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| 1429 |
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- type: max_ap
|
| 1430 |
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value: 96.27527798658713
|
| 1431 |
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- type: max_f1
|
| 1432 |
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value: 92.0
|
| 1433 |
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- task:
|
| 1434 |
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type: Clustering
|
| 1435 |
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dataset:
|
| 1436 |
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type: mteb/stackexchange-clustering
|
| 1437 |
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name: MTEB StackExchangeClustering
|
| 1438 |
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config: default
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| 1439 |
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split: test
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| 1440 |
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revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 1441 |
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metrics:
|
| 1442 |
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- type: v_measure
|
| 1443 |
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value: 76.93753872885304
|
| 1444 |
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- task:
|
| 1445 |
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type: Clustering
|
| 1446 |
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dataset:
|
| 1447 |
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type: mteb/stackexchange-clustering-p2p
|
| 1448 |
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name: MTEB StackExchangeClusteringP2P
|
| 1449 |
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config: default
|
| 1450 |
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split: test
|
| 1451 |
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revision: 815ca46b2622cec33ccafc3735d572c266efdb44
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| 1452 |
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metrics:
|
| 1453 |
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- type: v_measure
|
| 1454 |
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value: 46.044085080870126
|
| 1455 |
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- task:
|
| 1456 |
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type: Reranking
|
| 1457 |
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dataset:
|
| 1458 |
+
type: mteb/stackoverflowdupquestions-reranking
|
| 1459 |
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name: MTEB StackOverflowDupQuestions
|
| 1460 |
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config: default
|
| 1461 |
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split: test
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| 1462 |
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revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
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| 1463 |
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metrics:
|
| 1464 |
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- type: map
|
| 1465 |
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value: 55.885129730227256
|
| 1466 |
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- type: mrr
|
| 1467 |
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value: 56.95062494694848
|
| 1468 |
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- task:
|
| 1469 |
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type: Summarization
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| 1470 |
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dataset:
|
| 1471 |
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type: mteb/summeval
|
| 1472 |
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name: MTEB SummEval
|
| 1473 |
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config: default
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| 1474 |
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split: test
|
| 1475 |
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revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
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| 1476 |
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metrics:
|
| 1477 |
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- type: cos_sim_pearson
|
| 1478 |
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value: 31.202047940935508
|
| 1479 |
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- type: cos_sim_spearman
|
| 1480 |
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value: 30.984832035722228
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| 1481 |
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- type: dot_pearson
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| 1482 |
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value: 31.20204247226978
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| 1483 |
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- type: dot_spearman
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| 1484 |
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value: 30.984832035722228
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| 1485 |
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- task:
|
| 1486 |
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type: Retrieval
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| 1487 |
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dataset:
|
| 1488 |
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type: mteb/trec-covid
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| 1489 |
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name: MTEB TRECCOVID
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| 1490 |
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config: default
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| 1491 |
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split: test
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| 1492 |
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revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
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| 1493 |
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metrics:
|
| 1494 |
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| 1495 |
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value: 0.245
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| 1496 |
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| 1497 |
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value: 2.249
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| 1498 |
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| 1499 |
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value: 14.85
|
| 1500 |
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- type: map_at_1000
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| 1501 |
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value: 36.596000000000004
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| 1502 |
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| 1503 |
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value: 0.717
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| 1504 |
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| 1505 |
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value: 1.18
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| 1506 |
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| 1507 |
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value: 94.0
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| 1509 |
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value: 96.167
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| 1510 |
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| 1511 |
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value: 96.167
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value: 96.167
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| 1515 |
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value: 95.667
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| 1517 |
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value: 96.167
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| 1518 |
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| 1519 |
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value: 91.0
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| 1521 |
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| 1523 |
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value: 69.637
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| 1524 |
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|
| 1525 |
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value: 62.257
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| 1526 |
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- type: ndcg_at_3
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| 1527 |
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value: 90.235
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| 1528 |
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- type: ndcg_at_5
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| 1529 |
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value: 89.51400000000001
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| 1530 |
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- type: precision_at_1
|
| 1531 |
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value: 94.0
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| 1532 |
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| 1533 |
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value: 90.60000000000001
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| 1534 |
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- type: precision_at_100
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| 1535 |
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value: 71.38
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| 1536 |
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| 1537 |
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value: 27.400000000000002
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| 1538 |
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| 1539 |
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value: 94.0
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| 1540 |
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- type: precision_at_5
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| 1541 |
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value: 93.2
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| 1542 |
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- type: recall_at_1
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| 1543 |
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value: 0.245
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| 1544 |
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|
| 1545 |
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value: 2.366
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| 1547 |
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value: 17.491
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| 1548 |
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- type: recall_at_1000
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| 1549 |
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value: 58.772999999999996
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| 1550 |
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- type: recall_at_3
|
| 1551 |
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value: 0.7270000000000001
|
| 1552 |
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- type: recall_at_5
|
| 1553 |
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value: 1.221
|
| 1554 |
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- task:
|
| 1555 |
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type: Retrieval
|
| 1556 |
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dataset:
|
| 1557 |
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type: mteb/touche2020
|
| 1558 |
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name: MTEB Touche2020
|
| 1559 |
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config: default
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| 1560 |
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split: test
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| 1561 |
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| 1562 |
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metrics:
|
| 1563 |
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|
| 1564 |
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value: 3.435
|
| 1565 |
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- type: map_at_10
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| 1566 |
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value: 12.147
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| 1568 |
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value: 18.724
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| 1569 |
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| 1570 |
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| 1572 |
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| 1574 |
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value: 9.198
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| 1575 |
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- type: mrr_at_1
|
| 1576 |
+
value: 48.980000000000004
|
| 1577 |
+
- type: mrr_at_10
|
| 1578 |
+
value: 62.970000000000006
|
| 1579 |
+
- type: mrr_at_100
|
| 1580 |
+
value: 63.288999999999994
|
| 1581 |
+
- type: mrr_at_1000
|
| 1582 |
+
value: 63.288999999999994
|
| 1583 |
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- type: mrr_at_3
|
| 1584 |
+
value: 59.184000000000005
|
| 1585 |
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- type: mrr_at_5
|
| 1586 |
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value: 61.224000000000004
|
| 1587 |
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- type: ndcg_at_1
|
| 1588 |
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value: 46.939
|
| 1589 |
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- type: ndcg_at_10
|
| 1590 |
+
value: 30.61
|
| 1591 |
+
- type: ndcg_at_100
|
| 1592 |
+
value: 41.683
|
| 1593 |
+
- type: ndcg_at_1000
|
| 1594 |
+
value: 53.144000000000005
|
| 1595 |
+
- type: ndcg_at_3
|
| 1596 |
+
value: 36.284
|
| 1597 |
+
- type: ndcg_at_5
|
| 1598 |
+
value: 34.345
|
| 1599 |
+
- type: precision_at_1
|
| 1600 |
+
value: 48.980000000000004
|
| 1601 |
+
- type: precision_at_10
|
| 1602 |
+
value: 26.122
|
| 1603 |
+
- type: precision_at_100
|
| 1604 |
+
value: 8.204
|
| 1605 |
+
- type: precision_at_1000
|
| 1606 |
+
value: 1.6019999999999999
|
| 1607 |
+
- type: precision_at_3
|
| 1608 |
+
value: 35.374
|
| 1609 |
+
- type: precision_at_5
|
| 1610 |
+
value: 32.653
|
| 1611 |
+
- type: recall_at_1
|
| 1612 |
+
value: 3.435
|
| 1613 |
+
- type: recall_at_10
|
| 1614 |
+
value: 18.953
|
| 1615 |
+
- type: recall_at_100
|
| 1616 |
+
value: 50.775000000000006
|
| 1617 |
+
- type: recall_at_1000
|
| 1618 |
+
value: 85.858
|
| 1619 |
+
- type: recall_at_3
|
| 1620 |
+
value: 7.813000000000001
|
| 1621 |
+
- type: recall_at_5
|
| 1622 |
+
value: 11.952
|
| 1623 |
+
- task:
|
| 1624 |
+
type: Classification
|
| 1625 |
+
dataset:
|
| 1626 |
+
type: mteb/toxic_conversations_50k
|
| 1627 |
+
name: MTEB ToxicConversationsClassification
|
| 1628 |
+
config: default
|
| 1629 |
+
split: test
|
| 1630 |
+
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
|
| 1631 |
+
metrics:
|
| 1632 |
+
- type: accuracy
|
| 1633 |
+
value: 71.2938
|
| 1634 |
+
- type: ap
|
| 1635 |
+
value: 15.090139095602268
|
| 1636 |
+
- type: f1
|
| 1637 |
+
value: 55.23862650598296
|
| 1638 |
+
- task:
|
| 1639 |
+
type: Classification
|
| 1640 |
+
dataset:
|
| 1641 |
+
type: mteb/tweet_sentiment_extraction
|
| 1642 |
+
name: MTEB TweetSentimentExtractionClassification
|
| 1643 |
+
config: default
|
| 1644 |
+
split: test
|
| 1645 |
+
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 1646 |
+
metrics:
|
| 1647 |
+
- type: accuracy
|
| 1648 |
+
value: 64.7623089983022
|
| 1649 |
+
- type: f1
|
| 1650 |
+
value: 65.07617131099336
|
| 1651 |
+
- task:
|
| 1652 |
+
type: Clustering
|
| 1653 |
+
dataset:
|
| 1654 |
+
type: mteb/twentynewsgroups-clustering
|
| 1655 |
+
name: MTEB TwentyNewsgroupsClustering
|
| 1656 |
+
config: default
|
| 1657 |
+
split: test
|
| 1658 |
+
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 1659 |
+
metrics:
|
| 1660 |
+
- type: v_measure
|
| 1661 |
+
value: 57.2988222684939
|
| 1662 |
+
- task:
|
| 1663 |
+
type: PairClassification
|
| 1664 |
+
dataset:
|
| 1665 |
+
type: mteb/twittersemeval2015-pairclassification
|
| 1666 |
+
name: MTEB TwitterSemEval2015
|
| 1667 |
+
config: default
|
| 1668 |
+
split: test
|
| 1669 |
+
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 1670 |
+
metrics:
|
| 1671 |
+
- type: cos_sim_accuracy
|
| 1672 |
+
value: 88.6034451928235
|
| 1673 |
+
- type: cos_sim_ap
|
| 1674 |
+
value: 81.51815279166863
|
| 1675 |
+
- type: cos_sim_f1
|
| 1676 |
+
value: 74.43794671864849
|
| 1677 |
+
- type: cos_sim_precision
|
| 1678 |
+
value: 73.34186939820742
|
| 1679 |
+
- type: cos_sim_recall
|
| 1680 |
+
value: 75.56728232189973
|
| 1681 |
+
- type: dot_accuracy
|
| 1682 |
+
value: 88.6034451928235
|
| 1683 |
+
- type: dot_ap
|
| 1684 |
+
value: 81.51816956866841
|
| 1685 |
+
- type: dot_f1
|
| 1686 |
+
value: 74.43794671864849
|
| 1687 |
+
- type: dot_precision
|
| 1688 |
+
value: 73.34186939820742
|
| 1689 |
+
- type: dot_recall
|
| 1690 |
+
value: 75.56728232189973
|
| 1691 |
+
- type: euclidean_accuracy
|
| 1692 |
+
value: 88.6034451928235
|
| 1693 |
+
- type: euclidean_ap
|
| 1694 |
+
value: 81.51817015121485
|
| 1695 |
+
- type: euclidean_f1
|
| 1696 |
+
value: 74.43794671864849
|
| 1697 |
+
- type: euclidean_precision
|
| 1698 |
+
value: 73.34186939820742
|
| 1699 |
+
- type: euclidean_recall
|
| 1700 |
+
value: 75.56728232189973
|
| 1701 |
+
- type: manhattan_accuracy
|
| 1702 |
+
value: 88.5736424867378
|
| 1703 |
+
- type: manhattan_ap
|
| 1704 |
+
value: 81.37610101292196
|
| 1705 |
+
- type: manhattan_f1
|
| 1706 |
+
value: 74.2504182215931
|
| 1707 |
+
- type: manhattan_precision
|
| 1708 |
+
value: 72.46922883697563
|
| 1709 |
+
- type: manhattan_recall
|
| 1710 |
+
value: 76.12137203166228
|
| 1711 |
+
- type: max_accuracy
|
| 1712 |
+
value: 88.6034451928235
|
| 1713 |
+
- type: max_ap
|
| 1714 |
+
value: 81.51817015121485
|
| 1715 |
+
- type: max_f1
|
| 1716 |
+
value: 74.43794671864849
|
| 1717 |
+
- task:
|
| 1718 |
+
type: PairClassification
|
| 1719 |
+
dataset:
|
| 1720 |
+
type: mteb/twitterurlcorpus-pairclassification
|
| 1721 |
+
name: MTEB TwitterURLCorpus
|
| 1722 |
+
config: default
|
| 1723 |
+
split: test
|
| 1724 |
+
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 1725 |
+
metrics:
|
| 1726 |
+
- type: cos_sim_accuracy
|
| 1727 |
+
value: 89.53118329646446
|
| 1728 |
+
- type: cos_sim_ap
|
| 1729 |
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value: 87.41972033060013
|
| 1730 |
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- type: cos_sim_f1
|
| 1731 |
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value: 79.4392523364486
|
| 1732 |
+
- type: cos_sim_precision
|
| 1733 |
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value: 75.53457372951958
|
| 1734 |
+
- type: cos_sim_recall
|
| 1735 |
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value: 83.7696335078534
|
| 1736 |
+
- type: dot_accuracy
|
| 1737 |
+
value: 89.53118329646446
|
| 1738 |
+
- type: dot_ap
|
| 1739 |
+
value: 87.41971646088945
|
| 1740 |
+
- type: dot_f1
|
| 1741 |
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value: 79.4392523364486
|
| 1742 |
+
- type: dot_precision
|
| 1743 |
+
value: 75.53457372951958
|
| 1744 |
+
- type: dot_recall
|
| 1745 |
+
value: 83.7696335078534
|
| 1746 |
+
- type: euclidean_accuracy
|
| 1747 |
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value: 89.53118329646446
|
| 1748 |
+
- type: euclidean_ap
|
| 1749 |
+
value: 87.41972415605997
|
| 1750 |
+
- type: euclidean_f1
|
| 1751 |
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value: 79.4392523364486
|
| 1752 |
+
- type: euclidean_precision
|
| 1753 |
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value: 75.53457372951958
|
| 1754 |
+
- type: euclidean_recall
|
| 1755 |
+
value: 83.7696335078534
|
| 1756 |
+
- type: manhattan_accuracy
|
| 1757 |
+
value: 89.5855163581325
|
| 1758 |
+
- type: manhattan_ap
|
| 1759 |
+
value: 87.51158697451964
|
| 1760 |
+
- type: manhattan_f1
|
| 1761 |
+
value: 79.54455087655883
|
| 1762 |
+
- type: manhattan_precision
|
| 1763 |
+
value: 74.96763643796416
|
| 1764 |
+
- type: manhattan_recall
|
| 1765 |
+
value: 84.71666153372344
|
| 1766 |
+
- type: max_accuracy
|
| 1767 |
+
value: 89.5855163581325
|
| 1768 |
+
- type: max_ap
|
| 1769 |
+
value: 87.51158697451964
|
| 1770 |
+
- type: max_f1
|
| 1771 |
+
value: 79.54455087655883
|
| 1772 |
language:
|
| 1773 |
- en
|
| 1774 |
license: cc-by-nc-4.0
|