Create README.md
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README.md
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|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- mteb
|
| 4 |
+
model-index:
|
| 5 |
+
- name: nomic_classification_nignore30
|
| 6 |
+
results:
|
| 7 |
+
- task:
|
| 8 |
+
type: Classification
|
| 9 |
+
dataset:
|
| 10 |
+
type: None
|
| 11 |
+
name: MTEB AmazonCounterfactualClassification (en)
|
| 12 |
+
config: en
|
| 13 |
+
split: test
|
| 14 |
+
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 15 |
+
metrics:
|
| 16 |
+
- type: accuracy
|
| 17 |
+
value: 74.02985074626865
|
| 18 |
+
- type: ap
|
| 19 |
+
value: 36.54755879675939
|
| 20 |
+
- type: f1
|
| 21 |
+
value: 67.84911428462374
|
| 22 |
+
- task:
|
| 23 |
+
type: Classification
|
| 24 |
+
dataset:
|
| 25 |
+
type: None
|
| 26 |
+
name: MTEB AmazonPolarityClassification
|
| 27 |
+
config: default
|
| 28 |
+
split: test
|
| 29 |
+
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
|
| 30 |
+
metrics:
|
| 31 |
+
- type: accuracy
|
| 32 |
+
value: 60.98745000000001
|
| 33 |
+
- type: ap
|
| 34 |
+
value: 56.79972495487593
|
| 35 |
+
- type: f1
|
| 36 |
+
value: 60.79607311981127
|
| 37 |
+
- task:
|
| 38 |
+
type: Classification
|
| 39 |
+
dataset:
|
| 40 |
+
type: None
|
| 41 |
+
name: MTEB AmazonReviewsClassification (en)
|
| 42 |
+
config: en
|
| 43 |
+
split: test
|
| 44 |
+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 45 |
+
metrics:
|
| 46 |
+
- type: accuracy
|
| 47 |
+
value: 31.606000000000005
|
| 48 |
+
- type: f1
|
| 49 |
+
value: 31.20575804283948
|
| 50 |
+
- task:
|
| 51 |
+
type: Retrieval
|
| 52 |
+
dataset:
|
| 53 |
+
type: None
|
| 54 |
+
name: MTEB ArguAna
|
| 55 |
+
config: default
|
| 56 |
+
split: test
|
| 57 |
+
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
|
| 58 |
+
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|
| 59 |
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|
| 60 |
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value: 21.266
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| 61 |
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|
| 62 |
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value: 35.579
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| 63 |
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| 64 |
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value: 36.867
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| 65 |
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| 66 |
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value: 36.887
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| 67 |
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| 68 |
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value: 31.105
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| 69 |
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|
| 70 |
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value: 33.512
|
| 71 |
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| 72 |
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value: 21.764
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| 73 |
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|
| 74 |
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value: 35.768
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| 75 |
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|
| 76 |
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value: 37.049
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| 77 |
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| 78 |
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value: 37.069
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| 80 |
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value: 31.354
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| 81 |
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| 82 |
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value: 33.694
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| 83 |
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|
| 84 |
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value: 21.266
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| 85 |
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| 86 |
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value: 43.697
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| 87 |
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|
| 88 |
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value: 49.444
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| 89 |
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| 90 |
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value: 49.918
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| 91 |
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value: 34.415
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| 93 |
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| 94 |
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value: 38.751999999999995
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|
| 96 |
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value: 21.266
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| 97 |
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|
| 98 |
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value: 6.97
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| 99 |
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|
| 100 |
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value: 0.954
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| 101 |
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|
| 102 |
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value: 0.099
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| 103 |
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| 104 |
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value: 14.674999999999999
|
| 105 |
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|
| 106 |
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value: 10.91
|
| 107 |
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|
| 108 |
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value: 21.266
|
| 109 |
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|
| 110 |
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value: 69.70100000000001
|
| 111 |
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|
| 112 |
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value: 95.448
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| 113 |
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|
| 114 |
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value: 99.075
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| 115 |
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|
| 116 |
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value: 44.025999999999996
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| 117 |
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- type: recall_at_5
|
| 118 |
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value: 54.552
|
| 119 |
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- task:
|
| 120 |
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type: Clustering
|
| 121 |
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dataset:
|
| 122 |
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type: None
|
| 123 |
+
name: MTEB ArxivClusteringP2P
|
| 124 |
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config: default
|
| 125 |
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split: test
|
| 126 |
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revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 127 |
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metrics:
|
| 128 |
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- type: v_measure
|
| 129 |
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value: 35.45486521675564
|
| 130 |
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- task:
|
| 131 |
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type: Clustering
|
| 132 |
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dataset:
|
| 133 |
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type: None
|
| 134 |
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name: MTEB ArxivClusteringS2S
|
| 135 |
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config: default
|
| 136 |
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split: test
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| 137 |
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revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
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| 138 |
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metrics:
|
| 139 |
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- type: v_measure
|
| 140 |
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value: 24.270159650279354
|
| 141 |
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- task:
|
| 142 |
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type: Reranking
|
| 143 |
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dataset:
|
| 144 |
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type: None
|
| 145 |
+
name: MTEB AskUbuntuDupQuestions
|
| 146 |
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config: default
|
| 147 |
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split: test
|
| 148 |
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revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
|
| 149 |
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metrics:
|
| 150 |
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- type: map
|
| 151 |
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value: 53.62399843388994
|
| 152 |
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- type: mrr
|
| 153 |
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value: 68.1675680429143
|
| 154 |
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- task:
|
| 155 |
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type: STS
|
| 156 |
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dataset:
|
| 157 |
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type: None
|
| 158 |
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name: MTEB BIOSSES
|
| 159 |
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config: default
|
| 160 |
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split: test
|
| 161 |
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revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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| 162 |
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metrics:
|
| 163 |
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- type: cos_sim_pearson
|
| 164 |
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value: 83.62266587849676
|
| 165 |
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- type: cos_sim_spearman
|
| 166 |
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value: 80.48918339823612
|
| 167 |
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- type: euclidean_pearson
|
| 168 |
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value: 82.46661732971302
|
| 169 |
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- type: euclidean_spearman
|
| 170 |
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value: 80.48918339823612
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| 171 |
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- type: manhattan_pearson
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| 172 |
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value: 81.55398066885756
|
| 173 |
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- type: manhattan_spearman
|
| 174 |
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value: 80.27411825686711
|
| 175 |
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- task:
|
| 176 |
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type: Classification
|
| 177 |
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dataset:
|
| 178 |
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type: None
|
| 179 |
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name: MTEB Banking77Classification
|
| 180 |
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config: default
|
| 181 |
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split: test
|
| 182 |
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revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
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| 183 |
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metrics:
|
| 184 |
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- type: accuracy
|
| 185 |
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value: 73.07142857142857
|
| 186 |
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- type: f1
|
| 187 |
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value: 72.39723822054579
|
| 188 |
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- task:
|
| 189 |
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type: Clustering
|
| 190 |
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dataset:
|
| 191 |
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type: None
|
| 192 |
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name: MTEB BiorxivClusteringP2P
|
| 193 |
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config: default
|
| 194 |
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split: test
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| 195 |
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revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
|
| 196 |
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metrics:
|
| 197 |
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- type: v_measure
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| 198 |
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value: 32.426645848653045
|
| 199 |
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- task:
|
| 200 |
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type: Clustering
|
| 201 |
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dataset:
|
| 202 |
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type: None
|
| 203 |
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name: MTEB BiorxivClusteringS2S
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| 204 |
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config: default
|
| 205 |
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split: test
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| 206 |
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revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
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| 207 |
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metrics:
|
| 208 |
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- type: v_measure
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| 209 |
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value: 23.54829160604571
|
| 210 |
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- task:
|
| 211 |
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type: Retrieval
|
| 212 |
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dataset:
|
| 213 |
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type: None
|
| 214 |
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name: MTEB CQADupstackAndroidRetrieval
|
| 215 |
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config: default
|
| 216 |
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split: test
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| 217 |
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revision: f46a197baaae43b4f621051089b82a364682dfeb
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| 218 |
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metrics:
|
| 219 |
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|
| 220 |
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value: 24.001
|
| 221 |
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|
| 222 |
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value: 31.195
|
| 223 |
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| 224 |
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value: 32.342999999999996
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| 225 |
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| 226 |
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value: 32.489000000000004
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| 227 |
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| 228 |
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value: 28.814
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| 229 |
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| 230 |
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value: 30.014000000000003
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| 231 |
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| 232 |
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value: 30.186
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| 233 |
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| 234 |
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value: 37.034
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| 235 |
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| 236 |
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value: 37.881
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| 238 |
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value: 37.946000000000005
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| 239 |
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| 240 |
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value: 35.241
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| 241 |
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| 242 |
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value: 36.120999999999995
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value: 30.186
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| 246 |
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value: 35.972
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| 247 |
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| 248 |
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value: 41.25
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| 249 |
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| 250 |
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value: 44.171
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| 251 |
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| 252 |
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value: 32.674
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| 253 |
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| 254 |
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value: 33.833
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| 256 |
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value: 30.186
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| 258 |
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value: 6.723999999999999
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| 260 |
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value: 1.157
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| 261 |
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| 262 |
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value: 0.172
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| 263 |
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| 264 |
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value: 15.451
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| 265 |
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| 266 |
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value: 10.815
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| 267 |
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| 268 |
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value: 24.001
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| 269 |
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| 270 |
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value: 44.057
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| 271 |
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| 272 |
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value: 67.72500000000001
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| 273 |
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| 274 |
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value: 87.464
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| 275 |
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| 276 |
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value: 33.817
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| 277 |
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- type: recall_at_5
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| 278 |
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value: 37.684
|
| 279 |
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- task:
|
| 280 |
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type: Retrieval
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| 281 |
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dataset:
|
| 282 |
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type: None
|
| 283 |
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name: MTEB CQADupstackEnglishRetrieval
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| 284 |
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config: default
|
| 285 |
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split: test
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| 286 |
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revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
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| 287 |
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metrics:
|
| 288 |
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| 289 |
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value: 16.766000000000002
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| 290 |
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| 291 |
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value: 23.07
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| 292 |
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| 293 |
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value: 24.062
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| 294 |
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| 295 |
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value: 24.178
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| 296 |
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| 297 |
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value: 21.364
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| 298 |
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| 299 |
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value: 22.3
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| 300 |
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| 301 |
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value: 21.146
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| 302 |
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| 303 |
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value: 27.24
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| 304 |
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| 305 |
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value: 28.092
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| 306 |
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| 307 |
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value: 28.163
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| 308 |
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| 309 |
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value: 25.605
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| 311 |
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value: 26.567
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| 313 |
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value: 21.146
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| 314 |
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| 315 |
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value: 27.031
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| 316 |
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| 317 |
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value: 31.430999999999997
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| 318 |
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| 319 |
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value: 34.086
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| 320 |
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| 321 |
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value: 24.136
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| 322 |
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| 323 |
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value: 25.462
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| 324 |
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| 325 |
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value: 21.146
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| 326 |
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| 327 |
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value: 5.006
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| 328 |
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| 329 |
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value: 0.901
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| 330 |
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| 331 |
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value: 0.13699999999999998
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| 332 |
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| 333 |
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value: 11.762
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| 334 |
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| 335 |
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value: 8.229000000000001
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| 336 |
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| 337 |
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value: 16.766000000000002
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| 338 |
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| 339 |
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value: 34.55
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| 340 |
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| 341 |
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value: 53.542
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| 342 |
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| 343 |
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value: 71.66900000000001
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| 344 |
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| 345 |
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value: 26.205000000000002
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| 346 |
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- type: recall_at_5
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| 347 |
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value: 29.854000000000003
|
| 348 |
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- task:
|
| 349 |
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type: Retrieval
|
| 350 |
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dataset:
|
| 351 |
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type: None
|
| 352 |
+
name: MTEB CQADupstackGamingRetrieval
|
| 353 |
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config: default
|
| 354 |
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split: test
|
| 355 |
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revision: 4885aa143210c98657558c04aaf3dc47cfb54340
|
| 356 |
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metrics:
|
| 357 |
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| 358 |
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value: 26.579000000000004
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| 359 |
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| 360 |
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value: 35.482
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| 362 |
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value: 36.564
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| 363 |
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value: 36.656
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| 365 |
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| 366 |
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value: 32.940999999999995
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| 367 |
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| 368 |
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value: 34.331
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| 369 |
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| 370 |
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value: 30.784
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| 371 |
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| 372 |
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value: 38.721
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| 374 |
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value: 39.592
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value: 39.653
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| 378 |
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value: 36.468
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| 380 |
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value: 37.688
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| 381 |
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| 382 |
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value: 30.784
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| 383 |
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| 384 |
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value: 40.351
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| 385 |
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| 386 |
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value: 45.499
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value: 47.641
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value: 35.605
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value: 37.798
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| 394 |
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value: 30.784
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| 395 |
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| 396 |
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value: 6.564
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| 397 |
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| 398 |
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value: 1.004
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| 399 |
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|
| 400 |
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value: 0.126
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| 401 |
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| 402 |
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value: 15.862000000000002
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| 404 |
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value: 11.008999999999999
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| 405 |
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|
| 406 |
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value: 26.579000000000004
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| 407 |
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|
| 408 |
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value: 51.978
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| 409 |
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| 410 |
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value: 75.331
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| 411 |
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- type: recall_at_1000
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| 412 |
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value: 90.774
|
| 413 |
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- type: recall_at_3
|
| 414 |
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value: 39.149
|
| 415 |
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- type: recall_at_5
|
| 416 |
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value: 44.516
|
| 417 |
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- task:
|
| 418 |
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type: Retrieval
|
| 419 |
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dataset:
|
| 420 |
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type: None
|
| 421 |
+
name: MTEB CQADupstackGisRetrieval
|
| 422 |
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config: default
|
| 423 |
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split: test
|
| 424 |
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revision: 5003b3064772da1887988e05400cf3806fe491f2
|
| 425 |
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metrics:
|
| 426 |
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|
| 427 |
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value: 13.013
|
| 428 |
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- type: map_at_10
|
| 429 |
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value: 17.393
|
| 430 |
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- type: map_at_100
|
| 431 |
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value: 18.256
|
| 432 |
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- type: map_at_1000
|
| 433 |
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value: 18.364
|
| 434 |
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- type: map_at_3
|
| 435 |
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value: 15.812000000000001
|
| 436 |
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|
| 437 |
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value: 16.601
|
| 438 |
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|
| 439 |
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value: 14.237
|
| 440 |
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|
| 441 |
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value: 18.706999999999997
|
| 442 |
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| 443 |
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value: 19.553
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|
| 445 |
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value: 19.651
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| 446 |
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| 447 |
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value: 17.081
|
| 448 |
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|
| 449 |
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value: 17.895
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| 451 |
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value: 14.237
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| 452 |
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| 453 |
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value: 20.315
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value: 24.914
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value: 28.244999999999997
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value: 16.994
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value: 18.396
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| 462 |
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| 463 |
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value: 14.237
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| 464 |
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- type: precision_at_10
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| 465 |
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value: 3.198
|
| 466 |
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- type: precision_at_100
|
| 467 |
+
value: 0.583
|
| 468 |
+
- type: precision_at_1000
|
| 469 |
+
value: 0.092
|
| 470 |
+
- type: precision_at_3
|
| 471 |
+
value: 7.0809999999999995
|
| 472 |
+
- type: precision_at_5
|
| 473 |
+
value: 4.994
|
| 474 |
+
- type: recall_at_1
|
| 475 |
+
value: 13.013
|
| 476 |
+
- type: recall_at_10
|
| 477 |
+
value: 28.297
|
| 478 |
+
- type: recall_at_100
|
| 479 |
+
value: 50.113
|
| 480 |
+
- type: recall_at_1000
|
| 481 |
+
value: 76.19500000000001
|
| 482 |
+
- type: recall_at_3
|
| 483 |
+
value: 19.062
|
| 484 |
+
- type: recall_at_5
|
| 485 |
+
value: 22.527
|
| 486 |
+
- task:
|
| 487 |
+
type: Retrieval
|
| 488 |
+
dataset:
|
| 489 |
+
type: None
|
| 490 |
+
name: MTEB CQADupstackMathematicaRetrieval
|
| 491 |
+
config: default
|
| 492 |
+
split: test
|
| 493 |
+
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
|
| 494 |
+
metrics:
|
| 495 |
+
- type: map_at_1
|
| 496 |
+
value: 6.783
|
| 497 |
+
- type: map_at_10
|
| 498 |
+
value: 10.439
|
| 499 |
+
- type: map_at_100
|
| 500 |
+
value: 11.26
|
| 501 |
+
- type: map_at_1000
|
| 502 |
+
value: 11.394
|
| 503 |
+
- type: map_at_3
|
| 504 |
+
value: 9.314
|
| 505 |
+
- type: map_at_5
|
| 506 |
+
value: 9.832
|
| 507 |
+
- type: mrr_at_1
|
| 508 |
+
value: 8.831
|
| 509 |
+
- type: mrr_at_10
|
| 510 |
+
value: 12.902
|
| 511 |
+
- type: mrr_at_100
|
| 512 |
+
value: 13.799
|
| 513 |
+
- type: mrr_at_1000
|
| 514 |
+
value: 13.901
|
| 515 |
+
- type: mrr_at_3
|
| 516 |
+
value: 11.692
|
| 517 |
+
- type: mrr_at_5
|
| 518 |
+
value: 12.200999999999999
|
| 519 |
+
- type: ndcg_at_1
|
| 520 |
+
value: 8.831
|
| 521 |
+
- type: ndcg_at_10
|
| 522 |
+
value: 12.973
|
| 523 |
+
- type: ndcg_at_100
|
| 524 |
+
value: 17.465
|
| 525 |
+
- type: ndcg_at_1000
|
| 526 |
+
value: 21.203
|
| 527 |
+
- type: ndcg_at_3
|
| 528 |
+
value: 10.778
|
| 529 |
+
- type: ndcg_at_5
|
| 530 |
+
value: 11.601
|
| 531 |
+
- type: precision_at_1
|
| 532 |
+
value: 8.831
|
| 533 |
+
- type: precision_at_10
|
| 534 |
+
value: 2.475
|
| 535 |
+
- type: precision_at_100
|
| 536 |
+
value: 0.553
|
| 537 |
+
- type: precision_at_1000
|
| 538 |
+
value: 0.101
|
| 539 |
+
- type: precision_at_3
|
| 540 |
+
value: 5.265000000000001
|
| 541 |
+
- type: precision_at_5
|
| 542 |
+
value: 3.781
|
| 543 |
+
- type: recall_at_1
|
| 544 |
+
value: 6.783
|
| 545 |
+
- type: recall_at_10
|
| 546 |
+
value: 18.386
|
| 547 |
+
- type: recall_at_100
|
| 548 |
+
value: 38.885999999999996
|
| 549 |
+
- type: recall_at_1000
|
| 550 |
+
value: 66.621
|
| 551 |
+
- type: recall_at_3
|
| 552 |
+
value: 12.235
|
| 553 |
+
- type: recall_at_5
|
| 554 |
+
value: 14.374999999999998
|
| 555 |
+
- task:
|
| 556 |
+
type: Retrieval
|
| 557 |
+
dataset:
|
| 558 |
+
type: None
|
| 559 |
+
name: MTEB CQADupstackPhysicsRetrieval
|
| 560 |
+
config: default
|
| 561 |
+
split: test
|
| 562 |
+
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
|
| 563 |
+
metrics:
|
| 564 |
+
- type: map_at_1
|
| 565 |
+
value: 17.946
|
| 566 |
+
- type: map_at_10
|
| 567 |
+
value: 24.188000000000002
|
| 568 |
+
- type: map_at_100
|
| 569 |
+
value: 25.402
|
| 570 |
+
- type: map_at_1000
|
| 571 |
+
value: 25.544
|
| 572 |
+
- type: map_at_3
|
| 573 |
+
value: 22.157
|
| 574 |
+
- type: map_at_5
|
| 575 |
+
value: 23.315
|
| 576 |
+
- type: mrr_at_1
|
| 577 |
+
value: 22.233
|
| 578 |
+
- type: mrr_at_10
|
| 579 |
+
value: 28.703
|
| 580 |
+
- type: mrr_at_100
|
| 581 |
+
value: 29.669
|
| 582 |
+
- type: mrr_at_1000
|
| 583 |
+
value: 29.748
|
| 584 |
+
- type: mrr_at_3
|
| 585 |
+
value: 26.676
|
| 586 |
+
- type: mrr_at_5
|
| 587 |
+
value: 27.894000000000002
|
| 588 |
+
- type: ndcg_at_1
|
| 589 |
+
value: 22.233
|
| 590 |
+
- type: ndcg_at_10
|
| 591 |
+
value: 28.483999999999998
|
| 592 |
+
- type: ndcg_at_100
|
| 593 |
+
value: 34.239999999999995
|
| 594 |
+
- type: ndcg_at_1000
|
| 595 |
+
value: 37.351
|
| 596 |
+
- type: ndcg_at_3
|
| 597 |
+
value: 25.018
|
| 598 |
+
- type: ndcg_at_5
|
| 599 |
+
value: 26.679000000000002
|
| 600 |
+
- type: precision_at_1
|
| 601 |
+
value: 22.233
|
| 602 |
+
- type: precision_at_10
|
| 603 |
+
value: 5.236
|
| 604 |
+
- type: precision_at_100
|
| 605 |
+
value: 0.962
|
| 606 |
+
- type: precision_at_1000
|
| 607 |
+
value: 0.14200000000000002
|
| 608 |
+
- type: precision_at_3
|
| 609 |
+
value: 11.806
|
| 610 |
+
- type: precision_at_5
|
| 611 |
+
value: 8.566
|
| 612 |
+
- type: recall_at_1
|
| 613 |
+
value: 17.946
|
| 614 |
+
- type: recall_at_10
|
| 615 |
+
value: 37.049
|
| 616 |
+
- type: recall_at_100
|
| 617 |
+
value: 62.473
|
| 618 |
+
- type: recall_at_1000
|
| 619 |
+
value: 83.829
|
| 620 |
+
- type: recall_at_3
|
| 621 |
+
value: 27.022000000000002
|
| 622 |
+
- type: recall_at_5
|
| 623 |
+
value: 31.435000000000002
|
| 624 |
+
- task:
|
| 625 |
+
type: Retrieval
|
| 626 |
+
dataset:
|
| 627 |
+
type: None
|
| 628 |
+
name: MTEB CQADupstackProgrammersRetrieval
|
| 629 |
+
config: default
|
| 630 |
+
split: test
|
| 631 |
+
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
|
| 632 |
+
metrics:
|
| 633 |
+
- type: map_at_1
|
| 634 |
+
value: 13.966000000000001
|
| 635 |
+
- type: map_at_10
|
| 636 |
+
value: 19.797
|
| 637 |
+
- type: map_at_100
|
| 638 |
+
value: 20.764
|
| 639 |
+
- type: map_at_1000
|
| 640 |
+
value: 20.913
|
| 641 |
+
- type: map_at_3
|
| 642 |
+
value: 17.688000000000002
|
| 643 |
+
- type: map_at_5
|
| 644 |
+
value: 18.796
|
| 645 |
+
- type: mrr_at_1
|
| 646 |
+
value: 17.122999999999998
|
| 647 |
+
- type: mrr_at_10
|
| 648 |
+
value: 23.277
|
| 649 |
+
- type: mrr_at_100
|
| 650 |
+
value: 24.095
|
| 651 |
+
- type: mrr_at_1000
|
| 652 |
+
value: 24.197
|
| 653 |
+
- type: mrr_at_3
|
| 654 |
+
value: 21.176000000000002
|
| 655 |
+
- type: mrr_at_5
|
| 656 |
+
value: 22.323
|
| 657 |
+
- type: ndcg_at_1
|
| 658 |
+
value: 17.122999999999998
|
| 659 |
+
- type: ndcg_at_10
|
| 660 |
+
value: 23.860999999999997
|
| 661 |
+
- type: ndcg_at_100
|
| 662 |
+
value: 28.669
|
| 663 |
+
- type: ndcg_at_1000
|
| 664 |
+
value: 32.375
|
| 665 |
+
- type: ndcg_at_3
|
| 666 |
+
value: 19.983999999999998
|
| 667 |
+
- type: ndcg_at_5
|
| 668 |
+
value: 21.647
|
| 669 |
+
- type: precision_at_1
|
| 670 |
+
value: 17.122999999999998
|
| 671 |
+
- type: precision_at_10
|
| 672 |
+
value: 4.623
|
| 673 |
+
- type: precision_at_100
|
| 674 |
+
value: 0.839
|
| 675 |
+
- type: precision_at_1000
|
| 676 |
+
value: 0.133
|
| 677 |
+
- type: precision_at_3
|
| 678 |
+
value: 9.551
|
| 679 |
+
- type: precision_at_5
|
| 680 |
+
value: 7.1
|
| 681 |
+
- type: recall_at_1
|
| 682 |
+
value: 13.966000000000001
|
| 683 |
+
- type: recall_at_10
|
| 684 |
+
value: 32.629999999999995
|
| 685 |
+
- type: recall_at_100
|
| 686 |
+
value: 53.842
|
| 687 |
+
- type: recall_at_1000
|
| 688 |
+
value: 80.583
|
| 689 |
+
- type: recall_at_3
|
| 690 |
+
value: 21.804000000000002
|
| 691 |
+
- type: recall_at_5
|
| 692 |
+
value: 26.101999999999997
|
| 693 |
+
- task:
|
| 694 |
+
type: Retrieval
|
| 695 |
+
dataset:
|
| 696 |
+
type: mteb/cqadupstack
|
| 697 |
+
name: MTEB CQADupstackRetrieval
|
| 698 |
+
config: default
|
| 699 |
+
split: test
|
| 700 |
+
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
|
| 701 |
+
metrics:
|
| 702 |
+
- type: map_at_1
|
| 703 |
+
value: 14.974750000000004
|
| 704 |
+
- type: map_at_10
|
| 705 |
+
value: 20.34575
|
| 706 |
+
- type: map_at_100
|
| 707 |
+
value: 21.290416666666665
|
| 708 |
+
- type: map_at_1000
|
| 709 |
+
value: 21.41825
|
| 710 |
+
- type: map_at_3
|
| 711 |
+
value: 18.576500000000003
|
| 712 |
+
- type: map_at_5
|
| 713 |
+
value: 19.546166666666668
|
| 714 |
+
- type: mrr_at_1
|
| 715 |
+
value: 18.049249999999997
|
| 716 |
+
- type: mrr_at_10
|
| 717 |
+
value: 23.45216666666667
|
| 718 |
+
- type: mrr_at_100
|
| 719 |
+
value: 24.29241666666667
|
| 720 |
+
- type: mrr_at_1000
|
| 721 |
+
value: 24.37841666666667
|
| 722 |
+
- type: mrr_at_3
|
| 723 |
+
value: 21.728749999999998
|
| 724 |
+
- type: mrr_at_5
|
| 725 |
+
value: 22.680916666666665
|
| 726 |
+
- type: ndcg_at_1
|
| 727 |
+
value: 18.049249999999997
|
| 728 |
+
- type: ndcg_at_10
|
| 729 |
+
value: 23.90125
|
| 730 |
+
- type: ndcg_at_100
|
| 731 |
+
value: 28.57325
|
| 732 |
+
- type: ndcg_at_1000
|
| 733 |
+
value: 31.747583333333335
|
| 734 |
+
- type: ndcg_at_3
|
| 735 |
+
value: 20.71783333333333
|
| 736 |
+
- type: ndcg_at_5
|
| 737 |
+
value: 22.17008333333333
|
| 738 |
+
- type: precision_at_1
|
| 739 |
+
value: 18.049249999999997
|
| 740 |
+
- type: precision_at_10
|
| 741 |
+
value: 4.257666666666667
|
| 742 |
+
- type: precision_at_100
|
| 743 |
+
value: 0.7843333333333332
|
| 744 |
+
- type: precision_at_1000
|
| 745 |
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value: 0.12375000000000003
|
| 746 |
+
- type: precision_at_3
|
| 747 |
+
value: 9.573750000000002
|
| 748 |
+
- type: precision_at_5
|
| 749 |
+
value: 6.871666666666666
|
| 750 |
+
- type: recall_at_1
|
| 751 |
+
value: 14.974750000000004
|
| 752 |
+
- type: recall_at_10
|
| 753 |
+
value: 31.535416666666666
|
| 754 |
+
- type: recall_at_100
|
| 755 |
+
value: 52.869583333333324
|
| 756 |
+
- type: recall_at_1000
|
| 757 |
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value: 75.93208333333334
|
| 758 |
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- type: recall_at_3
|
| 759 |
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value: 22.561833333333333
|
| 760 |
+
- type: recall_at_5
|
| 761 |
+
value: 26.351583333333334
|
| 762 |
+
- task:
|
| 763 |
+
type: Retrieval
|
| 764 |
+
dataset:
|
| 765 |
+
type: None
|
| 766 |
+
name: MTEB CQADupstackStatsRetrieval
|
| 767 |
+
config: default
|
| 768 |
+
split: test
|
| 769 |
+
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
|
| 770 |
+
metrics:
|
| 771 |
+
- type: map_at_1
|
| 772 |
+
value: 11.584
|
| 773 |
+
- type: map_at_10
|
| 774 |
+
value: 15.47
|
| 775 |
+
- type: map_at_100
|
| 776 |
+
value: 16.276
|
| 777 |
+
- type: map_at_1000
|
| 778 |
+
value: 16.361
|
| 779 |
+
- type: map_at_3
|
| 780 |
+
value: 14.022000000000002
|
| 781 |
+
- type: map_at_5
|
| 782 |
+
value: 14.884
|
| 783 |
+
- type: mrr_at_1
|
| 784 |
+
value: 13.65
|
| 785 |
+
- type: mrr_at_10
|
| 786 |
+
value: 17.566000000000003
|
| 787 |
+
- type: mrr_at_100
|
| 788 |
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value: 18.335
|
| 789 |
+
- type: mrr_at_1000
|
| 790 |
+
value: 18.411
|
| 791 |
+
- type: mrr_at_3
|
| 792 |
+
value: 16.053
|
| 793 |
+
- type: mrr_at_5
|
| 794 |
+
value: 16.843
|
| 795 |
+
- type: ndcg_at_1
|
| 796 |
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value: 13.65
|
| 797 |
+
- type: ndcg_at_10
|
| 798 |
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value: 18.208
|
| 799 |
+
- type: ndcg_at_100
|
| 800 |
+
value: 22.352
|
| 801 |
+
- type: ndcg_at_1000
|
| 802 |
+
value: 24.969
|
| 803 |
+
- type: ndcg_at_3
|
| 804 |
+
value: 15.459
|
| 805 |
+
- type: ndcg_at_5
|
| 806 |
+
value: 16.817
|
| 807 |
+
- type: precision_at_1
|
| 808 |
+
value: 13.65
|
| 809 |
+
- type: precision_at_10
|
| 810 |
+
value: 3.083
|
| 811 |
+
- type: precision_at_100
|
| 812 |
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value: 0.561
|
| 813 |
+
- type: precision_at_1000
|
| 814 |
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value: 0.086
|
| 815 |
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- type: precision_at_3
|
| 816 |
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value: 6.902
|
| 817 |
+
- type: precision_at_5
|
| 818 |
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value: 4.968999999999999
|
| 819 |
+
- type: recall_at_1
|
| 820 |
+
value: 11.584
|
| 821 |
+
- type: recall_at_10
|
| 822 |
+
value: 24.629
|
| 823 |
+
- type: recall_at_100
|
| 824 |
+
value: 43.963
|
| 825 |
+
- type: recall_at_1000
|
| 826 |
+
value: 63.944
|
| 827 |
+
- type: recall_at_3
|
| 828 |
+
value: 17.155
|
| 829 |
+
- type: recall_at_5
|
| 830 |
+
value: 20.598
|
| 831 |
+
- task:
|
| 832 |
+
type: Retrieval
|
| 833 |
+
dataset:
|
| 834 |
+
type: None
|
| 835 |
+
name: MTEB CQADupstackTexRetrieval
|
| 836 |
+
config: default
|
| 837 |
+
split: test
|
| 838 |
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revision: 46989137a86843e03a6195de44b09deda022eec7
|
| 839 |
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metrics:
|
| 840 |
+
- type: map_at_1
|
| 841 |
+
value: 7.792000000000001
|
| 842 |
+
- type: map_at_10
|
| 843 |
+
value: 11.246
|
| 844 |
+
- type: map_at_100
|
| 845 |
+
value: 11.955
|
| 846 |
+
- type: map_at_1000
|
| 847 |
+
value: 12.076
|
| 848 |
+
- type: map_at_3
|
| 849 |
+
value: 10.176
|
| 850 |
+
- type: map_at_5
|
| 851 |
+
value: 10.802
|
| 852 |
+
- type: mrr_at_1
|
| 853 |
+
value: 9.67
|
| 854 |
+
- type: mrr_at_10
|
| 855 |
+
value: 13.591000000000001
|
| 856 |
+
- type: mrr_at_100
|
| 857 |
+
value: 14.285999999999998
|
| 858 |
+
- type: mrr_at_1000
|
| 859 |
+
value: 14.385
|
| 860 |
+
- type: mrr_at_3
|
| 861 |
+
value: 12.394
|
| 862 |
+
- type: mrr_at_5
|
| 863 |
+
value: 13.104
|
| 864 |
+
- type: ndcg_at_1
|
| 865 |
+
value: 9.67
|
| 866 |
+
- type: ndcg_at_10
|
| 867 |
+
value: 13.645
|
| 868 |
+
- type: ndcg_at_100
|
| 869 |
+
value: 17.562
|
| 870 |
+
- type: ndcg_at_1000
|
| 871 |
+
value: 21.101
|
| 872 |
+
- type: ndcg_at_3
|
| 873 |
+
value: 11.635
|
| 874 |
+
- type: ndcg_at_5
|
| 875 |
+
value: 12.638
|
| 876 |
+
- type: precision_at_1
|
| 877 |
+
value: 9.67
|
| 878 |
+
- type: precision_at_10
|
| 879 |
+
value: 2.54
|
| 880 |
+
- type: precision_at_100
|
| 881 |
+
value: 0.538
|
| 882 |
+
- type: precision_at_1000
|
| 883 |
+
value: 0.101
|
| 884 |
+
- type: precision_at_3
|
| 885 |
+
value: 5.632000000000001
|
| 886 |
+
- type: precision_at_5
|
| 887 |
+
value: 4.136
|
| 888 |
+
- type: recall_at_1
|
| 889 |
+
value: 7.792000000000001
|
| 890 |
+
- type: recall_at_10
|
| 891 |
+
value: 18.63
|
| 892 |
+
- type: recall_at_100
|
| 893 |
+
value: 37.047999999999995
|
| 894 |
+
- type: recall_at_1000
|
| 895 |
+
value: 63.391
|
| 896 |
+
- type: recall_at_3
|
| 897 |
+
value: 12.956999999999999
|
| 898 |
+
- type: recall_at_5
|
| 899 |
+
value: 15.581
|
| 900 |
+
- task:
|
| 901 |
+
type: Retrieval
|
| 902 |
+
dataset:
|
| 903 |
+
type: None
|
| 904 |
+
name: MTEB CQADupstackUnixRetrieval
|
| 905 |
+
config: default
|
| 906 |
+
split: test
|
| 907 |
+
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
|
| 908 |
+
metrics:
|
| 909 |
+
- type: map_at_1
|
| 910 |
+
value: 13.358999999999998
|
| 911 |
+
- type: map_at_10
|
| 912 |
+
value: 18.154999999999998
|
| 913 |
+
- type: map_at_100
|
| 914 |
+
value: 19.008
|
| 915 |
+
- type: map_at_1000
|
| 916 |
+
value: 19.125
|
| 917 |
+
- type: map_at_3
|
| 918 |
+
value: 16.645
|
| 919 |
+
- type: map_at_5
|
| 920 |
+
value: 17.544999999999998
|
| 921 |
+
- type: mrr_at_1
|
| 922 |
+
value: 15.672
|
| 923 |
+
- type: mrr_at_10
|
| 924 |
+
value: 20.973
|
| 925 |
+
- type: mrr_at_100
|
| 926 |
+
value: 21.782
|
| 927 |
+
- type: mrr_at_1000
|
| 928 |
+
value: 21.88
|
| 929 |
+
- type: mrr_at_3
|
| 930 |
+
value: 19.356
|
| 931 |
+
- type: mrr_at_5
|
| 932 |
+
value: 20.28
|
| 933 |
+
- type: ndcg_at_1
|
| 934 |
+
value: 15.672
|
| 935 |
+
- type: ndcg_at_10
|
| 936 |
+
value: 21.391
|
| 937 |
+
- type: ndcg_at_100
|
| 938 |
+
value: 25.71
|
| 939 |
+
- type: ndcg_at_1000
|
| 940 |
+
value: 29.016
|
| 941 |
+
- type: ndcg_at_3
|
| 942 |
+
value: 18.489
|
| 943 |
+
- type: ndcg_at_5
|
| 944 |
+
value: 19.916
|
| 945 |
+
- type: precision_at_1
|
| 946 |
+
value: 15.672
|
| 947 |
+
- type: precision_at_10
|
| 948 |
+
value: 3.573
|
| 949 |
+
- type: precision_at_100
|
| 950 |
+
value: 0.636
|
| 951 |
+
- type: precision_at_1000
|
| 952 |
+
value: 0.10300000000000001
|
| 953 |
+
- type: precision_at_3
|
| 954 |
+
value: 8.488999999999999
|
| 955 |
+
- type: precision_at_5
|
| 956 |
+
value: 5.989
|
| 957 |
+
- type: recall_at_1
|
| 958 |
+
value: 13.358999999999998
|
| 959 |
+
- type: recall_at_10
|
| 960 |
+
value: 28.695999999999998
|
| 961 |
+
- type: recall_at_100
|
| 962 |
+
value: 48.165
|
| 963 |
+
- type: recall_at_1000
|
| 964 |
+
value: 72.64500000000001
|
| 965 |
+
- type: recall_at_3
|
| 966 |
+
value: 20.573
|
| 967 |
+
- type: recall_at_5
|
| 968 |
+
value: 24.284
|
| 969 |
+
- task:
|
| 970 |
+
type: Retrieval
|
| 971 |
+
dataset:
|
| 972 |
+
type: None
|
| 973 |
+
name: MTEB CQADupstackWebmastersRetrieval
|
| 974 |
+
config: default
|
| 975 |
+
split: test
|
| 976 |
+
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
|
| 977 |
+
metrics:
|
| 978 |
+
- type: map_at_1
|
| 979 |
+
value: 15.881
|
| 980 |
+
- type: map_at_10
|
| 981 |
+
value: 21.754
|
| 982 |
+
- type: map_at_100
|
| 983 |
+
value: 22.88
|
| 984 |
+
- type: map_at_1000
|
| 985 |
+
value: 23.087
|
| 986 |
+
- type: map_at_3
|
| 987 |
+
value: 19.827
|
| 988 |
+
- type: map_at_5
|
| 989 |
+
value: 20.964
|
| 990 |
+
- type: mrr_at_1
|
| 991 |
+
value: 19.564999999999998
|
| 992 |
+
- type: mrr_at_10
|
| 993 |
+
value: 25.246000000000002
|
| 994 |
+
- type: mrr_at_100
|
| 995 |
+
value: 26.163999999999998
|
| 996 |
+
- type: mrr_at_1000
|
| 997 |
+
value: 26.240999999999996
|
| 998 |
+
- type: mrr_at_3
|
| 999 |
+
value: 23.352999999999998
|
| 1000 |
+
- type: mrr_at_5
|
| 1001 |
+
value: 24.587999999999997
|
| 1002 |
+
- type: ndcg_at_1
|
| 1003 |
+
value: 19.564999999999998
|
| 1004 |
+
- type: ndcg_at_10
|
| 1005 |
+
value: 25.740000000000002
|
| 1006 |
+
- type: ndcg_at_100
|
| 1007 |
+
value: 30.977
|
| 1008 |
+
- type: ndcg_at_1000
|
| 1009 |
+
value: 34.486
|
| 1010 |
+
- type: ndcg_at_3
|
| 1011 |
+
value: 22.625
|
| 1012 |
+
- type: ndcg_at_5
|
| 1013 |
+
value: 24.294
|
| 1014 |
+
- type: precision_at_1
|
| 1015 |
+
value: 19.564999999999998
|
| 1016 |
+
- type: precision_at_10
|
| 1017 |
+
value: 5.0200000000000005
|
| 1018 |
+
- type: precision_at_100
|
| 1019 |
+
value: 1.146
|
| 1020 |
+
- type: precision_at_1000
|
| 1021 |
+
value: 0.201
|
| 1022 |
+
- type: precision_at_3
|
| 1023 |
+
value: 10.738
|
| 1024 |
+
- type: precision_at_5
|
| 1025 |
+
value: 8.103
|
| 1026 |
+
- type: recall_at_1
|
| 1027 |
+
value: 15.881
|
| 1028 |
+
- type: recall_at_10
|
| 1029 |
+
value: 32.918
|
| 1030 |
+
- type: recall_at_100
|
| 1031 |
+
value: 58.184000000000005
|
| 1032 |
+
- type: recall_at_1000
|
| 1033 |
+
value: 81.76299999999999
|
| 1034 |
+
- type: recall_at_3
|
| 1035 |
+
value: 23.992
|
| 1036 |
+
- type: recall_at_5
|
| 1037 |
+
value: 28.265
|
| 1038 |
+
- task:
|
| 1039 |
+
type: Retrieval
|
| 1040 |
+
dataset:
|
| 1041 |
+
type: None
|
| 1042 |
+
name: MTEB CQADupstackWordpressRetrieval
|
| 1043 |
+
config: default
|
| 1044 |
+
split: test
|
| 1045 |
+
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
|
| 1046 |
+
metrics:
|
| 1047 |
+
- type: map_at_1
|
| 1048 |
+
value: 12.027000000000001
|
| 1049 |
+
- type: map_at_10
|
| 1050 |
+
value: 15.959999999999999
|
| 1051 |
+
- type: map_at_100
|
| 1052 |
+
value: 16.715
|
| 1053 |
+
- type: map_at_1000
|
| 1054 |
+
value: 16.832
|
| 1055 |
+
- type: map_at_3
|
| 1056 |
+
value: 14.158000000000001
|
| 1057 |
+
- type: map_at_5
|
| 1058 |
+
value: 15.17
|
| 1059 |
+
- type: mrr_at_1
|
| 1060 |
+
value: 13.494
|
| 1061 |
+
- type: mrr_at_10
|
| 1062 |
+
value: 17.466
|
| 1063 |
+
- type: mrr_at_100
|
| 1064 |
+
value: 18.261
|
| 1065 |
+
- type: mrr_at_1000
|
| 1066 |
+
value: 18.365000000000002
|
| 1067 |
+
- type: mrr_at_3
|
| 1068 |
+
value: 15.65
|
| 1069 |
+
- type: mrr_at_5
|
| 1070 |
+
value: 16.667
|
| 1071 |
+
- type: ndcg_at_1
|
| 1072 |
+
value: 13.494
|
| 1073 |
+
- type: ndcg_at_10
|
| 1074 |
+
value: 18.844
|
| 1075 |
+
- type: ndcg_at_100
|
| 1076 |
+
value: 22.81
|
| 1077 |
+
- type: ndcg_at_1000
|
| 1078 |
+
value: 26.327
|
| 1079 |
+
- type: ndcg_at_3
|
| 1080 |
+
value: 15.217
|
| 1081 |
+
- type: ndcg_at_5
|
| 1082 |
+
value: 16.96
|
| 1083 |
+
- type: precision_at_1
|
| 1084 |
+
value: 13.494
|
| 1085 |
+
- type: precision_at_10
|
| 1086 |
+
value: 3.05
|
| 1087 |
+
- type: precision_at_100
|
| 1088 |
+
value: 0.532
|
| 1089 |
+
- type: precision_at_1000
|
| 1090 |
+
value: 0.091
|
| 1091 |
+
- type: precision_at_3
|
| 1092 |
+
value: 6.346
|
| 1093 |
+
- type: precision_at_5
|
| 1094 |
+
value: 4.769
|
| 1095 |
+
- type: recall_at_1
|
| 1096 |
+
value: 12.027000000000001
|
| 1097 |
+
- type: recall_at_10
|
| 1098 |
+
value: 26.605
|
| 1099 |
+
- type: recall_at_100
|
| 1100 |
+
value: 45.163
|
| 1101 |
+
- type: recall_at_1000
|
| 1102 |
+
value: 72.307
|
| 1103 |
+
- type: recall_at_3
|
| 1104 |
+
value: 16.771
|
| 1105 |
+
- type: recall_at_5
|
| 1106 |
+
value: 20.998
|
| 1107 |
+
- task:
|
| 1108 |
+
type: Retrieval
|
| 1109 |
+
dataset:
|
| 1110 |
+
type: None
|
| 1111 |
+
name: MTEB ClimateFEVER
|
| 1112 |
+
config: default
|
| 1113 |
+
split: test
|
| 1114 |
+
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
|
| 1115 |
+
metrics:
|
| 1116 |
+
- type: map_at_1
|
| 1117 |
+
value: 6.479
|
| 1118 |
+
- type: map_at_10
|
| 1119 |
+
value: 11.559
|
| 1120 |
+
- type: map_at_100
|
| 1121 |
+
value: 12.936
|
| 1122 |
+
- type: map_at_1000
|
| 1123 |
+
value: 13.120000000000001
|
| 1124 |
+
- type: map_at_3
|
| 1125 |
+
value: 9.377
|
| 1126 |
+
- type: map_at_5
|
| 1127 |
+
value: 10.494
|
| 1128 |
+
- type: mrr_at_1
|
| 1129 |
+
value: 14.396999999999998
|
| 1130 |
+
- type: mrr_at_10
|
| 1131 |
+
value: 23.039
|
| 1132 |
+
- type: mrr_at_100
|
| 1133 |
+
value: 24.141000000000002
|
| 1134 |
+
- type: mrr_at_1000
|
| 1135 |
+
value: 24.215999999999998
|
| 1136 |
+
- type: mrr_at_3
|
| 1137 |
+
value: 19.814999999999998
|
| 1138 |
+
- type: mrr_at_5
|
| 1139 |
+
value: 21.656
|
| 1140 |
+
- type: ndcg_at_1
|
| 1141 |
+
value: 14.396999999999998
|
| 1142 |
+
- type: ndcg_at_10
|
| 1143 |
+
value: 17.258000000000003
|
| 1144 |
+
- type: ndcg_at_100
|
| 1145 |
+
value: 23.615
|
| 1146 |
+
- type: ndcg_at_1000
|
| 1147 |
+
value: 27.605
|
| 1148 |
+
- type: ndcg_at_3
|
| 1149 |
+
value: 13.114999999999998
|
| 1150 |
+
- type: ndcg_at_5
|
| 1151 |
+
value: 14.698
|
| 1152 |
+
- type: precision_at_1
|
| 1153 |
+
value: 14.396999999999998
|
| 1154 |
+
- type: precision_at_10
|
| 1155 |
+
value: 5.713
|
| 1156 |
+
- type: precision_at_100
|
| 1157 |
+
value: 1.25
|
| 1158 |
+
- type: precision_at_1000
|
| 1159 |
+
value: 0.198
|
| 1160 |
+
- type: precision_at_3
|
| 1161 |
+
value: 9.924
|
| 1162 |
+
- type: precision_at_5
|
| 1163 |
+
value: 8.104
|
| 1164 |
+
- type: recall_at_1
|
| 1165 |
+
value: 6.479
|
| 1166 |
+
- type: recall_at_10
|
| 1167 |
+
value: 22.088
|
| 1168 |
+
- type: recall_at_100
|
| 1169 |
+
value: 44.681
|
| 1170 |
+
- type: recall_at_1000
|
| 1171 |
+
value: 67.869
|
| 1172 |
+
- type: recall_at_3
|
| 1173 |
+
value: 12.203
|
| 1174 |
+
- type: recall_at_5
|
| 1175 |
+
value: 16.275000000000002
|
| 1176 |
+
- task:
|
| 1177 |
+
type: Retrieval
|
| 1178 |
+
dataset:
|
| 1179 |
+
type: None
|
| 1180 |
+
name: MTEB DBPedia
|
| 1181 |
+
config: default
|
| 1182 |
+
split: test
|
| 1183 |
+
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
|
| 1184 |
+
metrics:
|
| 1185 |
+
- type: map_at_1
|
| 1186 |
+
value: 4.618
|
| 1187 |
+
- type: map_at_10
|
| 1188 |
+
value: 10.217
|
| 1189 |
+
- type: map_at_100
|
| 1190 |
+
value: 14.038999999999998
|
| 1191 |
+
- type: map_at_1000
|
| 1192 |
+
value: 15.03
|
| 1193 |
+
- type: map_at_3
|
| 1194 |
+
value: 7.523000000000001
|
| 1195 |
+
- type: map_at_5
|
| 1196 |
+
value: 8.688
|
| 1197 |
+
- type: mrr_at_1
|
| 1198 |
+
value: 41.75
|
| 1199 |
+
- type: mrr_at_10
|
| 1200 |
+
value: 51.991
|
| 1201 |
+
- type: mrr_at_100
|
| 1202 |
+
value: 52.711
|
| 1203 |
+
- type: mrr_at_1000
|
| 1204 |
+
value: 52.746
|
| 1205 |
+
- type: mrr_at_3
|
| 1206 |
+
value: 49.5
|
| 1207 |
+
- type: mrr_at_5
|
| 1208 |
+
value: 50.961999999999996
|
| 1209 |
+
- type: ndcg_at_1
|
| 1210 |
+
value: 30.875000000000004
|
| 1211 |
+
- type: ndcg_at_10
|
| 1212 |
+
value: 24.709999999999997
|
| 1213 |
+
- type: ndcg_at_100
|
| 1214 |
+
value: 27.584999999999997
|
| 1215 |
+
- type: ndcg_at_1000
|
| 1216 |
+
value: 34.508
|
| 1217 |
+
- type: ndcg_at_3
|
| 1218 |
+
value: 27.88
|
| 1219 |
+
- type: ndcg_at_5
|
| 1220 |
+
value: 26.168999999999997
|
| 1221 |
+
- type: precision_at_1
|
| 1222 |
+
value: 41.75
|
| 1223 |
+
- type: precision_at_10
|
| 1224 |
+
value: 21.45
|
| 1225 |
+
- type: precision_at_100
|
| 1226 |
+
value: 6.795
|
| 1227 |
+
- type: precision_at_1000
|
| 1228 |
+
value: 1.43
|
| 1229 |
+
- type: precision_at_3
|
| 1230 |
+
value: 33.083
|
| 1231 |
+
- type: precision_at_5
|
| 1232 |
+
value: 27.750000000000004
|
| 1233 |
+
- type: recall_at_1
|
| 1234 |
+
value: 4.618
|
| 1235 |
+
- type: recall_at_10
|
| 1236 |
+
value: 14.898
|
| 1237 |
+
- type: recall_at_100
|
| 1238 |
+
value: 33.027
|
| 1239 |
+
- type: recall_at_1000
|
| 1240 |
+
value: 57.036
|
| 1241 |
+
- type: recall_at_3
|
| 1242 |
+
value: 8.995000000000001
|
| 1243 |
+
- type: recall_at_5
|
| 1244 |
+
value: 11.23
|
| 1245 |
+
- task:
|
| 1246 |
+
type: Classification
|
| 1247 |
+
dataset:
|
| 1248 |
+
type: None
|
| 1249 |
+
name: MTEB EmotionClassification
|
| 1250 |
+
config: default
|
| 1251 |
+
split: test
|
| 1252 |
+
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
|
| 1253 |
+
metrics:
|
| 1254 |
+
- type: accuracy
|
| 1255 |
+
value: 43.19499999999999
|
| 1256 |
+
- type: f1
|
| 1257 |
+
value: 40.60048839070268
|
| 1258 |
+
- task:
|
| 1259 |
+
type: Retrieval
|
| 1260 |
+
dataset:
|
| 1261 |
+
type: None
|
| 1262 |
+
name: MTEB FEVER
|
| 1263 |
+
config: default
|
| 1264 |
+
split: test
|
| 1265 |
+
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
|
| 1266 |
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metrics:
|
| 1267 |
+
- type: map_at_1
|
| 1268 |
+
value: 17.11
|
| 1269 |
+
- type: map_at_10
|
| 1270 |
+
value: 25.478
|
| 1271 |
+
- type: map_at_100
|
| 1272 |
+
value: 26.436
|
| 1273 |
+
- type: map_at_1000
|
| 1274 |
+
value: 26.51
|
| 1275 |
+
- type: map_at_3
|
| 1276 |
+
value: 22.996
|
| 1277 |
+
- type: map_at_5
|
| 1278 |
+
value: 24.329
|
| 1279 |
+
- type: mrr_at_1
|
| 1280 |
+
value: 18.317
|
| 1281 |
+
- type: mrr_at_10
|
| 1282 |
+
value: 27.090999999999998
|
| 1283 |
+
- type: mrr_at_100
|
| 1284 |
+
value: 28.037
|
| 1285 |
+
- type: mrr_at_1000
|
| 1286 |
+
value: 28.102
|
| 1287 |
+
- type: mrr_at_3
|
| 1288 |
+
value: 24.532
|
| 1289 |
+
- type: mrr_at_5
|
| 1290 |
+
value: 25.918999999999997
|
| 1291 |
+
- type: ndcg_at_1
|
| 1292 |
+
value: 18.317
|
| 1293 |
+
- type: ndcg_at_10
|
| 1294 |
+
value: 30.448999999999998
|
| 1295 |
+
- type: ndcg_at_100
|
| 1296 |
+
value: 35.302
|
| 1297 |
+
- type: ndcg_at_1000
|
| 1298 |
+
value: 37.325
|
| 1299 |
+
- type: ndcg_at_3
|
| 1300 |
+
value: 25.326999999999998
|
| 1301 |
+
- type: ndcg_at_5
|
| 1302 |
+
value: 27.716
|
| 1303 |
+
- type: precision_at_1
|
| 1304 |
+
value: 18.317
|
| 1305 |
+
- type: precision_at_10
|
| 1306 |
+
value: 4.8469999999999995
|
| 1307 |
+
- type: precision_at_100
|
| 1308 |
+
value: 0.747
|
| 1309 |
+
- type: precision_at_1000
|
| 1310 |
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value: 0.094
|
| 1311 |
+
- type: precision_at_3
|
| 1312 |
+
value: 10.975999999999999
|
| 1313 |
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- type: precision_at_5
|
| 1314 |
+
value: 7.846
|
| 1315 |
+
- type: recall_at_1
|
| 1316 |
+
value: 17.11
|
| 1317 |
+
- type: recall_at_10
|
| 1318 |
+
value: 44.466
|
| 1319 |
+
- type: recall_at_100
|
| 1320 |
+
value: 67.06299999999999
|
| 1321 |
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- type: recall_at_1000
|
| 1322 |
+
value: 82.64200000000001
|
| 1323 |
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- type: recall_at_3
|
| 1324 |
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value: 30.509999999999998
|
| 1325 |
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- type: recall_at_5
|
| 1326 |
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value: 36.27
|
| 1327 |
+
- task:
|
| 1328 |
+
type: Retrieval
|
| 1329 |
+
dataset:
|
| 1330 |
+
type: None
|
| 1331 |
+
name: MTEB FiQA2018
|
| 1332 |
+
config: default
|
| 1333 |
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split: test
|
| 1334 |
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revision: 27a168819829fe9bcd655c2df245fb19452e8e06
|
| 1335 |
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metrics:
|
| 1336 |
+
- type: map_at_1
|
| 1337 |
+
value: 7.446999999999999
|
| 1338 |
+
- type: map_at_10
|
| 1339 |
+
value: 12.188
|
| 1340 |
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- type: map_at_100
|
| 1341 |
+
value: 13.241
|
| 1342 |
+
- type: map_at_1000
|
| 1343 |
+
value: 13.450000000000001
|
| 1344 |
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- type: map_at_3
|
| 1345 |
+
value: 10.184999999999999
|
| 1346 |
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- type: map_at_5
|
| 1347 |
+
value: 11.266
|
| 1348 |
+
- type: mrr_at_1
|
| 1349 |
+
value: 15.123000000000001
|
| 1350 |
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- type: mrr_at_10
|
| 1351 |
+
value: 21.397
|
| 1352 |
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- type: mrr_at_100
|
| 1353 |
+
value: 22.303
|
| 1354 |
+
- type: mrr_at_1000
|
| 1355 |
+
value: 22.398
|
| 1356 |
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- type: mrr_at_3
|
| 1357 |
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value: 19.187
|
| 1358 |
+
- type: mrr_at_5
|
| 1359 |
+
value: 20.383000000000003
|
| 1360 |
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- type: ndcg_at_1
|
| 1361 |
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value: 15.123000000000001
|
| 1362 |
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- type: ndcg_at_10
|
| 1363 |
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value: 16.957
|
| 1364 |
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- type: ndcg_at_100
|
| 1365 |
+
value: 22.147
|
| 1366 |
+
- type: ndcg_at_1000
|
| 1367 |
+
value: 26.759
|
| 1368 |
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- type: ndcg_at_3
|
| 1369 |
+
value: 14.091000000000001
|
| 1370 |
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- type: ndcg_at_5
|
| 1371 |
+
value: 15.135000000000002
|
| 1372 |
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- type: precision_at_1
|
| 1373 |
+
value: 15.123000000000001
|
| 1374 |
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- type: precision_at_10
|
| 1375 |
+
value: 4.938
|
| 1376 |
+
- type: precision_at_100
|
| 1377 |
+
value: 1.019
|
| 1378 |
+
- type: precision_at_1000
|
| 1379 |
+
value: 0.18
|
| 1380 |
+
- type: precision_at_3
|
| 1381 |
+
value: 9.568
|
| 1382 |
+
- type: precision_at_5
|
| 1383 |
+
value: 7.438000000000001
|
| 1384 |
+
- type: recall_at_1
|
| 1385 |
+
value: 7.446999999999999
|
| 1386 |
+
- type: recall_at_10
|
| 1387 |
+
value: 22.094
|
| 1388 |
+
- type: recall_at_100
|
| 1389 |
+
value: 42.397
|
| 1390 |
+
- type: recall_at_1000
|
| 1391 |
+
value: 71.15700000000001
|
| 1392 |
+
- type: recall_at_3
|
| 1393 |
+
value: 12.879
|
| 1394 |
+
- type: recall_at_5
|
| 1395 |
+
value: 16.49
|
| 1396 |
+
- task:
|
| 1397 |
+
type: Retrieval
|
| 1398 |
+
dataset:
|
| 1399 |
+
type: None
|
| 1400 |
+
name: MTEB HotpotQA
|
| 1401 |
+
config: default
|
| 1402 |
+
split: test
|
| 1403 |
+
revision: ab518f4d6fcca38d87c25209f94beba119d02014
|
| 1404 |
+
metrics:
|
| 1405 |
+
- type: map_at_1
|
| 1406 |
+
value: 18.285
|
| 1407 |
+
- type: map_at_10
|
| 1408 |
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value: 25.703
|
| 1409 |
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- type: map_at_100
|
| 1410 |
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value: 26.634
|
| 1411 |
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- type: map_at_1000
|
| 1412 |
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value: 26.741999999999997
|
| 1413 |
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- type: map_at_3
|
| 1414 |
+
value: 23.642
|
| 1415 |
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- type: map_at_5
|
| 1416 |
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value: 24.826
|
| 1417 |
+
- type: mrr_at_1
|
| 1418 |
+
value: 36.57
|
| 1419 |
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- type: mrr_at_10
|
| 1420 |
+
value: 43.772
|
| 1421 |
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- type: mrr_at_100
|
| 1422 |
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value: 44.51
|
| 1423 |
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- type: mrr_at_1000
|
| 1424 |
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value: 44.561
|
| 1425 |
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- type: mrr_at_3
|
| 1426 |
+
value: 41.787
|
| 1427 |
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- type: mrr_at_5
|
| 1428 |
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value: 42.964
|
| 1429 |
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- type: ndcg_at_1
|
| 1430 |
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value: 36.57
|
| 1431 |
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- type: ndcg_at_10
|
| 1432 |
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value: 32.763999999999996
|
| 1433 |
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- type: ndcg_at_100
|
| 1434 |
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value: 37.077
|
| 1435 |
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- type: ndcg_at_1000
|
| 1436 |
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value: 39.666000000000004
|
| 1437 |
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- type: ndcg_at_3
|
| 1438 |
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value: 28.906
|
| 1439 |
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- type: ndcg_at_5
|
| 1440 |
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value: 30.86
|
| 1441 |
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- type: precision_at_1
|
| 1442 |
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value: 36.57
|
| 1443 |
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- type: precision_at_10
|
| 1444 |
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value: 7.202
|
| 1445 |
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- type: precision_at_100
|
| 1446 |
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value: 1.065
|
| 1447 |
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- type: precision_at_1000
|
| 1448 |
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value: 0.14100000000000001
|
| 1449 |
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- type: precision_at_3
|
| 1450 |
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value: 18.231
|
| 1451 |
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- type: precision_at_5
|
| 1452 |
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value: 12.483
|
| 1453 |
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- type: recall_at_1
|
| 1454 |
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value: 18.285
|
| 1455 |
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- type: recall_at_10
|
| 1456 |
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value: 36.009
|
| 1457 |
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- type: recall_at_100
|
| 1458 |
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value: 53.27499999999999
|
| 1459 |
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- type: recall_at_1000
|
| 1460 |
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value: 70.635
|
| 1461 |
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- type: recall_at_3
|
| 1462 |
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value: 27.345999999999997
|
| 1463 |
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- type: recall_at_5
|
| 1464 |
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value: 31.208999999999996
|
| 1465 |
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- task:
|
| 1466 |
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type: Classification
|
| 1467 |
+
dataset:
|
| 1468 |
+
type: None
|
| 1469 |
+
name: MTEB ImdbClassification
|
| 1470 |
+
config: default
|
| 1471 |
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split: test
|
| 1472 |
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revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
|
| 1473 |
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metrics:
|
| 1474 |
+
- type: accuracy
|
| 1475 |
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value: 61.361999999999995
|
| 1476 |
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- type: ap
|
| 1477 |
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value: 57.09674595597791
|
| 1478 |
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- type: f1
|
| 1479 |
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value: 60.94720401382382
|
| 1480 |
+
- task:
|
| 1481 |
+
type: Retrieval
|
| 1482 |
+
dataset:
|
| 1483 |
+
type: None
|
| 1484 |
+
name: MTEB MSMARCO
|
| 1485 |
+
config: default
|
| 1486 |
+
split: dev
|
| 1487 |
+
revision: c5a29a104738b98a9e76336939199e264163d4a0
|
| 1488 |
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metrics:
|
| 1489 |
+
- type: map_at_1
|
| 1490 |
+
value: 6.686
|
| 1491 |
+
- type: map_at_10
|
| 1492 |
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value: 11.454
|
| 1493 |
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- type: map_at_100
|
| 1494 |
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value: 12.342
|
| 1495 |
+
- type: map_at_1000
|
| 1496 |
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value: 12.447
|
| 1497 |
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- type: map_at_3
|
| 1498 |
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value: 9.722
|
| 1499 |
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- type: map_at_5
|
| 1500 |
+
value: 10.632
|
| 1501 |
+
- type: mrr_at_1
|
| 1502 |
+
value: 6.891
|
| 1503 |
+
- type: mrr_at_10
|
| 1504 |
+
value: 11.768
|
| 1505 |
+
- type: mrr_at_100
|
| 1506 |
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value: 12.651000000000002
|
| 1507 |
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- type: mrr_at_1000
|
| 1508 |
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value: 12.753
|
| 1509 |
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- type: mrr_at_3
|
| 1510 |
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value: 10.001999999999999
|
| 1511 |
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- type: mrr_at_5
|
| 1512 |
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value: 10.918999999999999
|
| 1513 |
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- type: ndcg_at_1
|
| 1514 |
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value: 6.848
|
| 1515 |
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- type: ndcg_at_10
|
| 1516 |
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value: 14.466000000000001
|
| 1517 |
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- type: ndcg_at_100
|
| 1518 |
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value: 19.301
|
| 1519 |
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- type: ndcg_at_1000
|
| 1520 |
+
value: 22.458
|
| 1521 |
+
- type: ndcg_at_3
|
| 1522 |
+
value: 10.836
|
| 1523 |
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- type: ndcg_at_5
|
| 1524 |
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value: 12.475
|
| 1525 |
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- type: precision_at_1
|
| 1526 |
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value: 6.848
|
| 1527 |
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- type: precision_at_10
|
| 1528 |
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value: 2.48
|
| 1529 |
+
- type: precision_at_100
|
| 1530 |
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value: 0.49899999999999994
|
| 1531 |
+
- type: precision_at_1000
|
| 1532 |
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value: 0.077
|
| 1533 |
+
- type: precision_at_3
|
| 1534 |
+
value: 4.766
|
| 1535 |
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- type: precision_at_5
|
| 1536 |
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value: 3.682
|
| 1537 |
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- type: recall_at_1
|
| 1538 |
+
value: 6.686
|
| 1539 |
+
- type: recall_at_10
|
| 1540 |
+
value: 23.82
|
| 1541 |
+
- type: recall_at_100
|
| 1542 |
+
value: 47.349999999999994
|
| 1543 |
+
- type: recall_at_1000
|
| 1544 |
+
value: 72.66
|
| 1545 |
+
- type: recall_at_3
|
| 1546 |
+
value: 13.811000000000002
|
| 1547 |
+
- type: recall_at_5
|
| 1548 |
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value: 17.76
|
| 1549 |
+
- task:
|
| 1550 |
+
type: Classification
|
| 1551 |
+
dataset:
|
| 1552 |
+
type: None
|
| 1553 |
+
name: MTEB MTOPDomainClassification (en)
|
| 1554 |
+
config: en
|
| 1555 |
+
split: test
|
| 1556 |
+
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
|
| 1557 |
+
metrics:
|
| 1558 |
+
- type: accuracy
|
| 1559 |
+
value: 87.67213862289103
|
| 1560 |
+
- type: f1
|
| 1561 |
+
value: 86.45841301738238
|
| 1562 |
+
- task:
|
| 1563 |
+
type: Classification
|
| 1564 |
+
dataset:
|
| 1565 |
+
type: None
|
| 1566 |
+
name: MTEB MTOPIntentClassification (en)
|
| 1567 |
+
config: en
|
| 1568 |
+
split: test
|
| 1569 |
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revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
|
| 1570 |
+
metrics:
|
| 1571 |
+
- type: accuracy
|
| 1572 |
+
value: 56.82170542635659
|
| 1573 |
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- type: f1
|
| 1574 |
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value: 39.12615117855274
|
| 1575 |
+
- task:
|
| 1576 |
+
type: Classification
|
| 1577 |
+
dataset:
|
| 1578 |
+
type: None
|
| 1579 |
+
name: MTEB MassiveIntentClassification (en)
|
| 1580 |
+
config: en
|
| 1581 |
+
split: test
|
| 1582 |
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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
|
| 1583 |
+
metrics:
|
| 1584 |
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- type: accuracy
|
| 1585 |
+
value: 60.18829858776058
|
| 1586 |
+
- type: f1
|
| 1587 |
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value: 58.617914607265064
|
| 1588 |
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- task:
|
| 1589 |
+
type: Classification
|
| 1590 |
+
dataset:
|
| 1591 |
+
type: None
|
| 1592 |
+
name: MTEB MassiveScenarioClassification (en)
|
| 1593 |
+
config: en
|
| 1594 |
+
split: test
|
| 1595 |
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
|
| 1596 |
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metrics:
|
| 1597 |
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- type: accuracy
|
| 1598 |
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value: 66.45595158036315
|
| 1599 |
+
- type: f1
|
| 1600 |
+
value: 64.9778374481982
|
| 1601 |
+
- task:
|
| 1602 |
+
type: Clustering
|
| 1603 |
+
dataset:
|
| 1604 |
+
type: None
|
| 1605 |
+
name: MTEB MedrxivClusteringP2P
|
| 1606 |
+
config: default
|
| 1607 |
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split: test
|
| 1608 |
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revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
|
| 1609 |
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metrics:
|
| 1610 |
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- type: v_measure
|
| 1611 |
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value: 29.531989286141012
|
| 1612 |
+
- task:
|
| 1613 |
+
type: Clustering
|
| 1614 |
+
dataset:
|
| 1615 |
+
type: None
|
| 1616 |
+
name: MTEB MedrxivClusteringS2S
|
| 1617 |
+
config: default
|
| 1618 |
+
split: test
|
| 1619 |
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
|
| 1620 |
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metrics:
|
| 1621 |
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- type: v_measure
|
| 1622 |
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value: 26.070324322784792
|
| 1623 |
+
- task:
|
| 1624 |
+
type: Reranking
|
| 1625 |
+
dataset:
|
| 1626 |
+
type: None
|
| 1627 |
+
name: MTEB MindSmallReranking
|
| 1628 |
+
config: default
|
| 1629 |
+
split: test
|
| 1630 |
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revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
|
| 1631 |
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metrics:
|
| 1632 |
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- type: map
|
| 1633 |
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value: 29.516858081965257
|
| 1634 |
+
- type: mrr
|
| 1635 |
+
value: 30.51047930520146
|
| 1636 |
+
- task:
|
| 1637 |
+
type: Retrieval
|
| 1638 |
+
dataset:
|
| 1639 |
+
type: None
|
| 1640 |
+
name: MTEB NFCorpus
|
| 1641 |
+
config: default
|
| 1642 |
+
split: test
|
| 1643 |
+
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
|
| 1644 |
+
metrics:
|
| 1645 |
+
- type: map_at_1
|
| 1646 |
+
value: 4.131
|
| 1647 |
+
- type: map_at_10
|
| 1648 |
+
value: 8.826
|
| 1649 |
+
- type: map_at_100
|
| 1650 |
+
value: 11.094999999999999
|
| 1651 |
+
- type: map_at_1000
|
| 1652 |
+
value: 12.484
|
| 1653 |
+
- type: map_at_3
|
| 1654 |
+
value: 6.723
|
| 1655 |
+
- type: map_at_5
|
| 1656 |
+
value: 7.683
|
| 1657 |
+
- type: mrr_at_1
|
| 1658 |
+
value: 34.985
|
| 1659 |
+
- type: mrr_at_10
|
| 1660 |
+
value: 44.921
|
| 1661 |
+
- type: mrr_at_100
|
| 1662 |
+
value: 45.62
|
| 1663 |
+
- type: mrr_at_1000
|
| 1664 |
+
value: 45.676
|
| 1665 |
+
- type: mrr_at_3
|
| 1666 |
+
value: 42.931000000000004
|
| 1667 |
+
- type: mrr_at_5
|
| 1668 |
+
value: 44.385999999999996
|
| 1669 |
+
- type: ndcg_at_1
|
| 1670 |
+
value: 32.507999999999996
|
| 1671 |
+
- type: ndcg_at_10
|
| 1672 |
+
value: 26.773000000000003
|
| 1673 |
+
- type: ndcg_at_100
|
| 1674 |
+
value: 24.751
|
| 1675 |
+
- type: ndcg_at_1000
|
| 1676 |
+
value: 34.19
|
| 1677 |
+
- type: ndcg_at_3
|
| 1678 |
+
value: 31.213
|
| 1679 |
+
- type: ndcg_at_5
|
| 1680 |
+
value: 29.249000000000002
|
| 1681 |
+
- type: precision_at_1
|
| 1682 |
+
value: 34.985
|
| 1683 |
+
- type: precision_at_10
|
| 1684 |
+
value: 20.247999999999998
|
| 1685 |
+
- type: precision_at_100
|
| 1686 |
+
value: 6.907000000000001
|
| 1687 |
+
- type: precision_at_1000
|
| 1688 |
+
value: 2.031
|
| 1689 |
+
- type: precision_at_3
|
| 1690 |
+
value: 30.341
|
| 1691 |
+
- type: precision_at_5
|
| 1692 |
+
value: 25.759
|
| 1693 |
+
- type: recall_at_1
|
| 1694 |
+
value: 4.131
|
| 1695 |
+
- type: recall_at_10
|
| 1696 |
+
value: 12.465
|
| 1697 |
+
- type: recall_at_100
|
| 1698 |
+
value: 25.776
|
| 1699 |
+
- type: recall_at_1000
|
| 1700 |
+
value: 59.876
|
| 1701 |
+
- type: recall_at_3
|
| 1702 |
+
value: 7.968
|
| 1703 |
+
- type: recall_at_5
|
| 1704 |
+
value: 9.968
|
| 1705 |
+
- task:
|
| 1706 |
+
type: Retrieval
|
| 1707 |
+
dataset:
|
| 1708 |
+
type: None
|
| 1709 |
+
name: MTEB NQ
|
| 1710 |
+
config: default
|
| 1711 |
+
split: test
|
| 1712 |
+
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
|
| 1713 |
+
metrics:
|
| 1714 |
+
- type: map_at_1
|
| 1715 |
+
value: 9.277000000000001
|
| 1716 |
+
- type: map_at_10
|
| 1717 |
+
value: 15.709999999999999
|
| 1718 |
+
- type: map_at_100
|
| 1719 |
+
value: 16.980999999999998
|
| 1720 |
+
- type: map_at_1000
|
| 1721 |
+
value: 17.074
|
| 1722 |
+
- type: map_at_3
|
| 1723 |
+
value: 13.157
|
| 1724 |
+
- type: map_at_5
|
| 1725 |
+
value: 14.571000000000002
|
| 1726 |
+
- type: mrr_at_1
|
| 1727 |
+
value: 10.574
|
| 1728 |
+
- type: mrr_at_10
|
| 1729 |
+
value: 17.344
|
| 1730 |
+
- type: mrr_at_100
|
| 1731 |
+
value: 18.506
|
| 1732 |
+
- type: mrr_at_1000
|
| 1733 |
+
value: 18.584999999999997
|
| 1734 |
+
- type: mrr_at_3
|
| 1735 |
+
value: 14.677000000000001
|
| 1736 |
+
- type: mrr_at_5
|
| 1737 |
+
value: 16.213
|
| 1738 |
+
- type: ndcg_at_1
|
| 1739 |
+
value: 10.574
|
| 1740 |
+
- type: ndcg_at_10
|
| 1741 |
+
value: 20.044
|
| 1742 |
+
- type: ndcg_at_100
|
| 1743 |
+
value: 26.447
|
| 1744 |
+
- type: ndcg_at_1000
|
| 1745 |
+
value: 29.084
|
| 1746 |
+
- type: ndcg_at_3
|
| 1747 |
+
value: 14.787
|
| 1748 |
+
- type: ndcg_at_5
|
| 1749 |
+
value: 17.362
|
| 1750 |
+
- type: precision_at_1
|
| 1751 |
+
value: 10.574
|
| 1752 |
+
- type: precision_at_10
|
| 1753 |
+
value: 3.7600000000000002
|
| 1754 |
+
- type: precision_at_100
|
| 1755 |
+
value: 0.738
|
| 1756 |
+
- type: precision_at_1000
|
| 1757 |
+
value: 0.099
|
| 1758 |
+
- type: precision_at_3
|
| 1759 |
+
value: 6.933
|
| 1760 |
+
- type: precision_at_5
|
| 1761 |
+
value: 5.608
|
| 1762 |
+
- type: recall_at_1
|
| 1763 |
+
value: 9.277000000000001
|
| 1764 |
+
- type: recall_at_10
|
| 1765 |
+
value: 31.948
|
| 1766 |
+
- type: recall_at_100
|
| 1767 |
+
value: 61.708
|
| 1768 |
+
- type: recall_at_1000
|
| 1769 |
+
value: 82.07799999999999
|
| 1770 |
+
- type: recall_at_3
|
| 1771 |
+
value: 18.045
|
| 1772 |
+
- type: recall_at_5
|
| 1773 |
+
value: 24.038999999999998
|
| 1774 |
+
- task:
|
| 1775 |
+
type: Retrieval
|
| 1776 |
+
dataset:
|
| 1777 |
+
type: None
|
| 1778 |
+
name: MTEB QuoraRetrieval
|
| 1779 |
+
config: default
|
| 1780 |
+
split: test
|
| 1781 |
+
revision: None
|
| 1782 |
+
metrics:
|
| 1783 |
+
- type: map_at_1
|
| 1784 |
+
value: 64.268
|
| 1785 |
+
- type: map_at_10
|
| 1786 |
+
value: 77.19500000000001
|
| 1787 |
+
- type: map_at_100
|
| 1788 |
+
value: 77.95299999999999
|
| 1789 |
+
- type: map_at_1000
|
| 1790 |
+
value: 77.986
|
| 1791 |
+
- type: map_at_3
|
| 1792 |
+
value: 74.30499999999999
|
| 1793 |
+
- type: map_at_5
|
| 1794 |
+
value: 76.054
|
| 1795 |
+
- type: mrr_at_1
|
| 1796 |
+
value: 74.09
|
| 1797 |
+
- type: mrr_at_10
|
| 1798 |
+
value: 81.384
|
| 1799 |
+
- type: mrr_at_100
|
| 1800 |
+
value: 81.592
|
| 1801 |
+
- type: mrr_at_1000
|
| 1802 |
+
value: 81.597
|
| 1803 |
+
- type: mrr_at_3
|
| 1804 |
+
value: 80.00500000000001
|
| 1805 |
+
- type: mrr_at_5
|
| 1806 |
+
value: 80.876
|
| 1807 |
+
- type: ndcg_at_1
|
| 1808 |
+
value: 74.16
|
| 1809 |
+
- type: ndcg_at_10
|
| 1810 |
+
value: 81.813
|
| 1811 |
+
- type: ndcg_at_100
|
| 1812 |
+
value: 83.787
|
| 1813 |
+
- type: ndcg_at_1000
|
| 1814 |
+
value: 84.11800000000001
|
| 1815 |
+
- type: ndcg_at_3
|
| 1816 |
+
value: 78.389
|
| 1817 |
+
- type: ndcg_at_5
|
| 1818 |
+
value: 80.123
|
| 1819 |
+
- type: precision_at_1
|
| 1820 |
+
value: 74.16
|
| 1821 |
+
- type: precision_at_10
|
| 1822 |
+
value: 12.35
|
| 1823 |
+
- type: precision_at_100
|
| 1824 |
+
value: 1.466
|
| 1825 |
+
- type: precision_at_1000
|
| 1826 |
+
value: 0.155
|
| 1827 |
+
- type: precision_at_3
|
| 1828 |
+
value: 34.067
|
| 1829 |
+
- type: precision_at_5
|
| 1830 |
+
value: 22.442
|
| 1831 |
+
- type: recall_at_1
|
| 1832 |
+
value: 64.268
|
| 1833 |
+
- type: recall_at_10
|
| 1834 |
+
value: 90.67
|
| 1835 |
+
- type: recall_at_100
|
| 1836 |
+
value: 97.935
|
| 1837 |
+
- type: recall_at_1000
|
| 1838 |
+
value: 99.703
|
| 1839 |
+
- type: recall_at_3
|
| 1840 |
+
value: 80.752
|
| 1841 |
+
- type: recall_at_5
|
| 1842 |
+
value: 85.63300000000001
|
| 1843 |
+
- task:
|
| 1844 |
+
type: Clustering
|
| 1845 |
+
dataset:
|
| 1846 |
+
type: None
|
| 1847 |
+
name: MTEB RedditClustering
|
| 1848 |
+
config: default
|
| 1849 |
+
split: test
|
| 1850 |
+
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
|
| 1851 |
+
metrics:
|
| 1852 |
+
- type: v_measure
|
| 1853 |
+
value: 39.191626251430044
|
| 1854 |
+
- task:
|
| 1855 |
+
type: Clustering
|
| 1856 |
+
dataset:
|
| 1857 |
+
type: None
|
| 1858 |
+
name: MTEB RedditClusteringP2P
|
| 1859 |
+
config: default
|
| 1860 |
+
split: test
|
| 1861 |
+
revision: 282350215ef01743dc01b456c7f5241fa8937f16
|
| 1862 |
+
metrics:
|
| 1863 |
+
- type: v_measure
|
| 1864 |
+
value: 47.00784930616429
|
| 1865 |
+
- task:
|
| 1866 |
+
type: Retrieval
|
| 1867 |
+
dataset:
|
| 1868 |
+
type: None
|
| 1869 |
+
name: MTEB SCIDOCS
|
| 1870 |
+
config: default
|
| 1871 |
+
split: test
|
| 1872 |
+
revision: None
|
| 1873 |
+
metrics:
|
| 1874 |
+
- type: map_at_1
|
| 1875 |
+
value: 2.948
|
| 1876 |
+
- type: map_at_10
|
| 1877 |
+
value: 7.126
|
| 1878 |
+
- type: map_at_100
|
| 1879 |
+
value: 8.462
|
| 1880 |
+
- type: map_at_1000
|
| 1881 |
+
value: 8.713
|
| 1882 |
+
- type: map_at_3
|
| 1883 |
+
value: 5.143
|
| 1884 |
+
- type: map_at_5
|
| 1885 |
+
value: 6.117
|
| 1886 |
+
- type: mrr_at_1
|
| 1887 |
+
value: 14.499999999999998
|
| 1888 |
+
- type: mrr_at_10
|
| 1889 |
+
value: 22.455
|
| 1890 |
+
- type: mrr_at_100
|
| 1891 |
+
value: 23.666
|
| 1892 |
+
- type: mrr_at_1000
|
| 1893 |
+
value: 23.745
|
| 1894 |
+
- type: mrr_at_3
|
| 1895 |
+
value: 19.417
|
| 1896 |
+
- type: mrr_at_5
|
| 1897 |
+
value: 21.117
|
| 1898 |
+
- type: ndcg_at_1
|
| 1899 |
+
value: 14.499999999999998
|
| 1900 |
+
- type: ndcg_at_10
|
| 1901 |
+
value: 12.666
|
| 1902 |
+
- type: ndcg_at_100
|
| 1903 |
+
value: 18.993
|
| 1904 |
+
- type: ndcg_at_1000
|
| 1905 |
+
value: 24.09
|
| 1906 |
+
- type: ndcg_at_3
|
| 1907 |
+
value: 11.655999999999999
|
| 1908 |
+
- type: ndcg_at_5
|
| 1909 |
+
value: 10.342
|
| 1910 |
+
- type: precision_at_1
|
| 1911 |
+
value: 14.499999999999998
|
| 1912 |
+
- type: precision_at_10
|
| 1913 |
+
value: 6.65
|
| 1914 |
+
- type: precision_at_100
|
| 1915 |
+
value: 1.598
|
| 1916 |
+
- type: precision_at_1000
|
| 1917 |
+
value: 0.28300000000000003
|
| 1918 |
+
- type: precision_at_3
|
| 1919 |
+
value: 10.8
|
| 1920 |
+
- type: precision_at_5
|
| 1921 |
+
value: 9.1
|
| 1922 |
+
- type: recall_at_1
|
| 1923 |
+
value: 2.948
|
| 1924 |
+
- type: recall_at_10
|
| 1925 |
+
value: 13.492
|
| 1926 |
+
- type: recall_at_100
|
| 1927 |
+
value: 32.448
|
| 1928 |
+
- type: recall_at_1000
|
| 1929 |
+
value: 57.553
|
| 1930 |
+
- type: recall_at_3
|
| 1931 |
+
value: 6.578
|
| 1932 |
+
- type: recall_at_5
|
| 1933 |
+
value: 9.242
|
| 1934 |
+
- task:
|
| 1935 |
+
type: STS
|
| 1936 |
+
dataset:
|
| 1937 |
+
type: None
|
| 1938 |
+
name: MTEB SICK-R
|
| 1939 |
+
config: default
|
| 1940 |
+
split: test
|
| 1941 |
+
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
|
| 1942 |
+
metrics:
|
| 1943 |
+
- type: cos_sim_pearson
|
| 1944 |
+
value: 75.38146213095916
|
| 1945 |
+
- type: cos_sim_spearman
|
| 1946 |
+
value: 65.36914729991646
|
| 1947 |
+
- type: euclidean_pearson
|
| 1948 |
+
value: 70.34893420889419
|
| 1949 |
+
- type: euclidean_spearman
|
| 1950 |
+
value: 65.36925972117625
|
| 1951 |
+
- type: manhattan_pearson
|
| 1952 |
+
value: 68.16816720045782
|
| 1953 |
+
- type: manhattan_spearman
|
| 1954 |
+
value: 64.0884396246228
|
| 1955 |
+
- task:
|
| 1956 |
+
type: STS
|
| 1957 |
+
dataset:
|
| 1958 |
+
type: None
|
| 1959 |
+
name: MTEB STS12
|
| 1960 |
+
config: default
|
| 1961 |
+
split: test
|
| 1962 |
+
revision: a0d554a64d88156834ff5ae9920b964011b16384
|
| 1963 |
+
metrics:
|
| 1964 |
+
- type: cos_sim_pearson
|
| 1965 |
+
value: 74.45813185900207
|
| 1966 |
+
- type: cos_sim_spearman
|
| 1967 |
+
value: 68.03206487736479
|
| 1968 |
+
- type: euclidean_pearson
|
| 1969 |
+
value: 70.55331228911669
|
| 1970 |
+
- type: euclidean_spearman
|
| 1971 |
+
value: 68.03330456319067
|
| 1972 |
+
- type: manhattan_pearson
|
| 1973 |
+
value: 68.32513309931606
|
| 1974 |
+
- type: manhattan_spearman
|
| 1975 |
+
value: 66.90519361570585
|
| 1976 |
+
- task:
|
| 1977 |
+
type: STS
|
| 1978 |
+
dataset:
|
| 1979 |
+
type: None
|
| 1980 |
+
name: MTEB STS13
|
| 1981 |
+
config: default
|
| 1982 |
+
split: test
|
| 1983 |
+
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
|
| 1984 |
+
metrics:
|
| 1985 |
+
- type: cos_sim_pearson
|
| 1986 |
+
value: 77.32203252223916
|
| 1987 |
+
- type: cos_sim_spearman
|
| 1988 |
+
value: 78.44952447167366
|
| 1989 |
+
- type: euclidean_pearson
|
| 1990 |
+
value: 78.18870184193474
|
| 1991 |
+
- type: euclidean_spearman
|
| 1992 |
+
value: 78.44956228059971
|
| 1993 |
+
- type: manhattan_pearson
|
| 1994 |
+
value: 77.82417744157945
|
| 1995 |
+
- type: manhattan_spearman
|
| 1996 |
+
value: 78.17317129725184
|
| 1997 |
+
- task:
|
| 1998 |
+
type: STS
|
| 1999 |
+
dataset:
|
| 2000 |
+
type: None
|
| 2001 |
+
name: MTEB STS14
|
| 2002 |
+
config: default
|
| 2003 |
+
split: test
|
| 2004 |
+
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
|
| 2005 |
+
metrics:
|
| 2006 |
+
- type: cos_sim_pearson
|
| 2007 |
+
value: 77.98515479114604
|
| 2008 |
+
- type: cos_sim_spearman
|
| 2009 |
+
value: 74.70914230860409
|
| 2010 |
+
- type: euclidean_pearson
|
| 2011 |
+
value: 76.81874418213698
|
| 2012 |
+
- type: euclidean_spearman
|
| 2013 |
+
value: 74.70913261737951
|
| 2014 |
+
- type: manhattan_pearson
|
| 2015 |
+
value: 75.54410520012546
|
| 2016 |
+
- type: manhattan_spearman
|
| 2017 |
+
value: 73.74596322038998
|
| 2018 |
+
- task:
|
| 2019 |
+
type: STS
|
| 2020 |
+
dataset:
|
| 2021 |
+
type: None
|
| 2022 |
+
name: MTEB STS15
|
| 2023 |
+
config: default
|
| 2024 |
+
split: test
|
| 2025 |
+
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
|
| 2026 |
+
metrics:
|
| 2027 |
+
- type: cos_sim_pearson
|
| 2028 |
+
value: 81.34912352314105
|
| 2029 |
+
- type: cos_sim_spearman
|
| 2030 |
+
value: 82.13479378308254
|
| 2031 |
+
- type: euclidean_pearson
|
| 2032 |
+
value: 82.07291865315551
|
| 2033 |
+
- type: euclidean_spearman
|
| 2034 |
+
value: 82.13479226815167
|
| 2035 |
+
- type: manhattan_pearson
|
| 2036 |
+
value: 81.51909627091456
|
| 2037 |
+
- type: manhattan_spearman
|
| 2038 |
+
value: 81.70075499671213
|
| 2039 |
+
- task:
|
| 2040 |
+
type: STS
|
| 2041 |
+
dataset:
|
| 2042 |
+
type: None
|
| 2043 |
+
name: MTEB STS16
|
| 2044 |
+
config: default
|
| 2045 |
+
split: test
|
| 2046 |
+
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
|
| 2047 |
+
metrics:
|
| 2048 |
+
- type: cos_sim_pearson
|
| 2049 |
+
value: 76.1116492955691
|
| 2050 |
+
- type: cos_sim_spearman
|
| 2051 |
+
value: 77.19800116078945
|
| 2052 |
+
- type: euclidean_pearson
|
| 2053 |
+
value: 76.8231316467101
|
| 2054 |
+
- type: euclidean_spearman
|
| 2055 |
+
value: 77.19883015620502
|
| 2056 |
+
- type: manhattan_pearson
|
| 2057 |
+
value: 77.10588536013977
|
| 2058 |
+
- type: manhattan_spearman
|
| 2059 |
+
value: 77.50215416532438
|
| 2060 |
+
- task:
|
| 2061 |
+
type: STS
|
| 2062 |
+
dataset:
|
| 2063 |
+
type: None
|
| 2064 |
+
name: MTEB STS17 (en-en)
|
| 2065 |
+
config: en-en
|
| 2066 |
+
split: test
|
| 2067 |
+
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
|
| 2068 |
+
metrics:
|
| 2069 |
+
- type: cos_sim_pearson
|
| 2070 |
+
value: 84.10770264372314
|
| 2071 |
+
- type: cos_sim_spearman
|
| 2072 |
+
value: 84.97403648808209
|
| 2073 |
+
- type: euclidean_pearson
|
| 2074 |
+
value: 84.41825024902698
|
| 2075 |
+
- type: euclidean_spearman
|
| 2076 |
+
value: 84.97491009412074
|
| 2077 |
+
- type: manhattan_pearson
|
| 2078 |
+
value: 84.16827578787243
|
| 2079 |
+
- type: manhattan_spearman
|
| 2080 |
+
value: 84.92739867128569
|
| 2081 |
+
- task:
|
| 2082 |
+
type: STS
|
| 2083 |
+
dataset:
|
| 2084 |
+
type: None
|
| 2085 |
+
name: MTEB STS22 (en)
|
| 2086 |
+
config: en
|
| 2087 |
+
split: test
|
| 2088 |
+
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
|
| 2089 |
+
metrics:
|
| 2090 |
+
- type: cos_sim_pearson
|
| 2091 |
+
value: 62.91807215204278
|
| 2092 |
+
- type: cos_sim_spearman
|
| 2093 |
+
value: 59.61282196137074
|
| 2094 |
+
- type: euclidean_pearson
|
| 2095 |
+
value: 62.702286829442436
|
| 2096 |
+
- type: euclidean_spearman
|
| 2097 |
+
value: 59.61282196137074
|
| 2098 |
+
- type: manhattan_pearson
|
| 2099 |
+
value: 62.26491120673072
|
| 2100 |
+
- type: manhattan_spearman
|
| 2101 |
+
value: 59.7161013914999
|
| 2102 |
+
- task:
|
| 2103 |
+
type: STS
|
| 2104 |
+
dataset:
|
| 2105 |
+
type: None
|
| 2106 |
+
name: MTEB STSBenchmark
|
| 2107 |
+
config: default
|
| 2108 |
+
split: test
|
| 2109 |
+
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
|
| 2110 |
+
metrics:
|
| 2111 |
+
- type: cos_sim_pearson
|
| 2112 |
+
value: 78.43114398442724
|
| 2113 |
+
- type: cos_sim_spearman
|
| 2114 |
+
value: 77.35423527756463
|
| 2115 |
+
- type: euclidean_pearson
|
| 2116 |
+
value: 78.2269102978861
|
| 2117 |
+
- type: euclidean_spearman
|
| 2118 |
+
value: 77.35428366374488
|
| 2119 |
+
- type: manhattan_pearson
|
| 2120 |
+
value: 77.26973789544932
|
| 2121 |
+
- type: manhattan_spearman
|
| 2122 |
+
value: 76.58307796792111
|
| 2123 |
+
- task:
|
| 2124 |
+
type: Reranking
|
| 2125 |
+
dataset:
|
| 2126 |
+
type: None
|
| 2127 |
+
name: MTEB SciDocsRR
|
| 2128 |
+
config: default
|
| 2129 |
+
split: test
|
| 2130 |
+
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
|
| 2131 |
+
metrics:
|
| 2132 |
+
- type: map
|
| 2133 |
+
value: 72.61932743075317
|
| 2134 |
+
- type: mrr
|
| 2135 |
+
value: 91.38920810489437
|
| 2136 |
+
- task:
|
| 2137 |
+
type: Retrieval
|
| 2138 |
+
dataset:
|
| 2139 |
+
type: None
|
| 2140 |
+
name: MTEB SciFact
|
| 2141 |
+
config: default
|
| 2142 |
+
split: test
|
| 2143 |
+
revision: 0228b52cf27578f30900b9e5271d331663a030d7
|
| 2144 |
+
metrics:
|
| 2145 |
+
- type: map_at_1
|
| 2146 |
+
value: 36.861
|
| 2147 |
+
- type: map_at_10
|
| 2148 |
+
value: 45.93
|
| 2149 |
+
- type: map_at_100
|
| 2150 |
+
value: 46.861000000000004
|
| 2151 |
+
- type: map_at_1000
|
| 2152 |
+
value: 46.924
|
| 2153 |
+
- type: map_at_3
|
| 2154 |
+
value: 43.283
|
| 2155 |
+
- type: map_at_5
|
| 2156 |
+
value: 44.675
|
| 2157 |
+
- type: mrr_at_1
|
| 2158 |
+
value: 39.333
|
| 2159 |
+
- type: mrr_at_10
|
| 2160 |
+
value: 47.906
|
| 2161 |
+
- type: mrr_at_100
|
| 2162 |
+
value: 48.665000000000006
|
| 2163 |
+
- type: mrr_at_1000
|
| 2164 |
+
value: 48.722
|
| 2165 |
+
- type: mrr_at_3
|
| 2166 |
+
value: 45.611000000000004
|
| 2167 |
+
- type: mrr_at_5
|
| 2168 |
+
value: 46.778
|
| 2169 |
+
- type: ndcg_at_1
|
| 2170 |
+
value: 39.333
|
| 2171 |
+
- type: ndcg_at_10
|
| 2172 |
+
value: 50.970000000000006
|
| 2173 |
+
- type: ndcg_at_100
|
| 2174 |
+
value: 55.491
|
| 2175 |
+
- type: ndcg_at_1000
|
| 2176 |
+
value: 57.099
|
| 2177 |
+
- type: ndcg_at_3
|
| 2178 |
+
value: 45.837
|
| 2179 |
+
- type: ndcg_at_5
|
| 2180 |
+
value: 48.081
|
| 2181 |
+
- type: precision_at_1
|
| 2182 |
+
value: 39.333
|
| 2183 |
+
- type: precision_at_10
|
| 2184 |
+
value: 7.199999999999999
|
| 2185 |
+
- type: precision_at_100
|
| 2186 |
+
value: 0.9730000000000001
|
| 2187 |
+
- type: precision_at_1000
|
| 2188 |
+
value: 0.11100000000000002
|
| 2189 |
+
- type: precision_at_3
|
| 2190 |
+
value: 18.333
|
| 2191 |
+
- type: precision_at_5
|
| 2192 |
+
value: 12.4
|
| 2193 |
+
- type: recall_at_1
|
| 2194 |
+
value: 36.861
|
| 2195 |
+
- type: recall_at_10
|
| 2196 |
+
value: 64.839
|
| 2197 |
+
- type: recall_at_100
|
| 2198 |
+
value: 85.983
|
| 2199 |
+
- type: recall_at_1000
|
| 2200 |
+
value: 98.467
|
| 2201 |
+
- type: recall_at_3
|
| 2202 |
+
value: 50.678
|
| 2203 |
+
- type: recall_at_5
|
| 2204 |
+
value: 56.24400000000001
|
| 2205 |
+
- task:
|
| 2206 |
+
type: PairClassification
|
| 2207 |
+
dataset:
|
| 2208 |
+
type: None
|
| 2209 |
+
name: MTEB SprintDuplicateQuestions
|
| 2210 |
+
config: default
|
| 2211 |
+
split: test
|
| 2212 |
+
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
|
| 2213 |
+
metrics:
|
| 2214 |
+
- type: cos_sim_accuracy
|
| 2215 |
+
value: 99.75742574257426
|
| 2216 |
+
- type: cos_sim_ap
|
| 2217 |
+
value: 93.4938177052363
|
| 2218 |
+
- type: cos_sim_f1
|
| 2219 |
+
value: 87.45019920318725
|
| 2220 |
+
- type: cos_sim_precision
|
| 2221 |
+
value: 87.10317460317461
|
| 2222 |
+
- type: cos_sim_recall
|
| 2223 |
+
value: 87.8
|
| 2224 |
+
- type: dot_accuracy
|
| 2225 |
+
value: 99.75742574257426
|
| 2226 |
+
- type: dot_ap
|
| 2227 |
+
value: 93.4938177052363
|
| 2228 |
+
- type: dot_f1
|
| 2229 |
+
value: 87.45019920318725
|
| 2230 |
+
- type: dot_precision
|
| 2231 |
+
value: 87.10317460317461
|
| 2232 |
+
- type: dot_recall
|
| 2233 |
+
value: 87.8
|
| 2234 |
+
- type: euclidean_accuracy
|
| 2235 |
+
value: 99.75742574257426
|
| 2236 |
+
- type: euclidean_ap
|
| 2237 |
+
value: 93.4938177052363
|
| 2238 |
+
- type: euclidean_f1
|
| 2239 |
+
value: 87.45019920318725
|
| 2240 |
+
- type: euclidean_precision
|
| 2241 |
+
value: 87.10317460317461
|
| 2242 |
+
- type: euclidean_recall
|
| 2243 |
+
value: 87.8
|
| 2244 |
+
- type: manhattan_accuracy
|
| 2245 |
+
value: 99.77425742574258
|
| 2246 |
+
- type: manhattan_ap
|
| 2247 |
+
value: 94.11582049960462
|
| 2248 |
+
- type: manhattan_f1
|
| 2249 |
+
value: 88.3367139959432
|
| 2250 |
+
- type: manhattan_precision
|
| 2251 |
+
value: 89.60905349794238
|
| 2252 |
+
- type: manhattan_recall
|
| 2253 |
+
value: 87.1
|
| 2254 |
+
- type: max_accuracy
|
| 2255 |
+
value: 99.77425742574258
|
| 2256 |
+
- type: max_ap
|
| 2257 |
+
value: 94.11582049960462
|
| 2258 |
+
- type: max_f1
|
| 2259 |
+
value: 88.3367139959432
|
| 2260 |
+
- task:
|
| 2261 |
+
type: Clustering
|
| 2262 |
+
dataset:
|
| 2263 |
+
type: None
|
| 2264 |
+
name: MTEB StackExchangeClustering
|
| 2265 |
+
config: default
|
| 2266 |
+
split: test
|
| 2267 |
+
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 2268 |
+
metrics:
|
| 2269 |
+
- type: v_measure
|
| 2270 |
+
value: 40.69098529569445
|
| 2271 |
+
- task:
|
| 2272 |
+
type: Clustering
|
| 2273 |
+
dataset:
|
| 2274 |
+
type: None
|
| 2275 |
+
name: MTEB StackExchangeClusteringP2P
|
| 2276 |
+
config: default
|
| 2277 |
+
split: test
|
| 2278 |
+
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 2279 |
+
metrics:
|
| 2280 |
+
- type: v_measure
|
| 2281 |
+
value: 29.68544212745689
|
| 2282 |
+
- task:
|
| 2283 |
+
type: Reranking
|
| 2284 |
+
dataset:
|
| 2285 |
+
type: None
|
| 2286 |
+
name: MTEB StackOverflowDupQuestions
|
| 2287 |
+
config: default
|
| 2288 |
+
split: test
|
| 2289 |
+
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
|
| 2290 |
+
metrics:
|
| 2291 |
+
- type: map
|
| 2292 |
+
value: 43.065922067847836
|
| 2293 |
+
- type: mrr
|
| 2294 |
+
value: 43.64432136490961
|
| 2295 |
+
- task:
|
| 2296 |
+
type: Summarization
|
| 2297 |
+
dataset:
|
| 2298 |
+
type: None
|
| 2299 |
+
name: MTEB SummEval
|
| 2300 |
+
config: default
|
| 2301 |
+
split: test
|
| 2302 |
+
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 2303 |
+
metrics:
|
| 2304 |
+
- type: cos_sim_pearson
|
| 2305 |
+
value: 29.750957237960492
|
| 2306 |
+
- type: cos_sim_spearman
|
| 2307 |
+
value: 30.099771071145582
|
| 2308 |
+
- type: dot_pearson
|
| 2309 |
+
value: 29.75095720371408
|
| 2310 |
+
- type: dot_spearman
|
| 2311 |
+
value: 30.128683537072114
|
| 2312 |
+
- task:
|
| 2313 |
+
type: Retrieval
|
| 2314 |
+
dataset:
|
| 2315 |
+
type: None
|
| 2316 |
+
name: MTEB TRECCOVID
|
| 2317 |
+
config: default
|
| 2318 |
+
split: test
|
| 2319 |
+
revision: None
|
| 2320 |
+
metrics:
|
| 2321 |
+
- type: map_at_1
|
| 2322 |
+
value: 0.129
|
| 2323 |
+
- type: map_at_10
|
| 2324 |
+
value: 0.6890000000000001
|
| 2325 |
+
- type: map_at_100
|
| 2326 |
+
value: 3.511
|
| 2327 |
+
- type: map_at_1000
|
| 2328 |
+
value: 8.943
|
| 2329 |
+
- type: map_at_3
|
| 2330 |
+
value: 0.304
|
| 2331 |
+
- type: map_at_5
|
| 2332 |
+
value: 0.42700000000000005
|
| 2333 |
+
- type: mrr_at_1
|
| 2334 |
+
value: 56.00000000000001
|
| 2335 |
+
- type: mrr_at_10
|
| 2336 |
+
value: 65.908
|
| 2337 |
+
- type: mrr_at_100
|
| 2338 |
+
value: 66.60199999999999
|
| 2339 |
+
- type: mrr_at_1000
|
| 2340 |
+
value: 66.60199999999999
|
| 2341 |
+
- type: mrr_at_3
|
| 2342 |
+
value: 63.333
|
| 2343 |
+
- type: mrr_at_5
|
| 2344 |
+
value: 64.23299999999999
|
| 2345 |
+
- type: ndcg_at_1
|
| 2346 |
+
value: 51.0
|
| 2347 |
+
- type: ndcg_at_10
|
| 2348 |
+
value: 39.304
|
| 2349 |
+
- type: ndcg_at_100
|
| 2350 |
+
value: 29.392000000000003
|
| 2351 |
+
- type: ndcg_at_1000
|
| 2352 |
+
value: 26.044
|
| 2353 |
+
- type: ndcg_at_3
|
| 2354 |
+
value: 45.408
|
| 2355 |
+
- type: ndcg_at_5
|
| 2356 |
+
value: 41.997
|
| 2357 |
+
- type: precision_at_1
|
| 2358 |
+
value: 56.00000000000001
|
| 2359 |
+
- type: precision_at_10
|
| 2360 |
+
value: 40.8
|
| 2361 |
+
- type: precision_at_100
|
| 2362 |
+
value: 30.48
|
| 2363 |
+
- type: precision_at_1000
|
| 2364 |
+
value: 12.692
|
| 2365 |
+
- type: precision_at_3
|
| 2366 |
+
value: 48.0
|
| 2367 |
+
- type: precision_at_5
|
| 2368 |
+
value: 43.6
|
| 2369 |
+
- type: recall_at_1
|
| 2370 |
+
value: 0.129
|
| 2371 |
+
- type: recall_at_10
|
| 2372 |
+
value: 0.893
|
| 2373 |
+
- type: recall_at_100
|
| 2374 |
+
value: 6.324000000000001
|
| 2375 |
+
- type: recall_at_1000
|
| 2376 |
+
value: 24.964
|
| 2377 |
+
- type: recall_at_3
|
| 2378 |
+
value: 0.33999999999999997
|
| 2379 |
+
- type: recall_at_5
|
| 2380 |
+
value: 0.505
|
| 2381 |
+
- task:
|
| 2382 |
+
type: Retrieval
|
| 2383 |
+
dataset:
|
| 2384 |
+
type: None
|
| 2385 |
+
name: MTEB Touche2020
|
| 2386 |
+
config: default
|
| 2387 |
+
split: test
|
| 2388 |
+
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
|
| 2389 |
+
metrics:
|
| 2390 |
+
- type: map_at_1
|
| 2391 |
+
value: 1.6179999999999999
|
| 2392 |
+
- type: map_at_10
|
| 2393 |
+
value: 8.232000000000001
|
| 2394 |
+
- type: map_at_100
|
| 2395 |
+
value: 14.643999999999998
|
| 2396 |
+
- type: map_at_1000
|
| 2397 |
+
value: 16.259
|
| 2398 |
+
- type: map_at_3
|
| 2399 |
+
value: 4.2090000000000005
|
| 2400 |
+
- type: map_at_5
|
| 2401 |
+
value: 5.401
|
| 2402 |
+
- type: mrr_at_1
|
| 2403 |
+
value: 24.490000000000002
|
| 2404 |
+
- type: mrr_at_10
|
| 2405 |
+
value: 43.963
|
| 2406 |
+
- type: mrr_at_100
|
| 2407 |
+
value: 45.022
|
| 2408 |
+
- type: mrr_at_1000
|
| 2409 |
+
value: 45.039
|
| 2410 |
+
- type: mrr_at_3
|
| 2411 |
+
value: 42.177
|
| 2412 |
+
- type: mrr_at_5
|
| 2413 |
+
value: 42.687000000000005
|
| 2414 |
+
- type: ndcg_at_1
|
| 2415 |
+
value: 23.469
|
| 2416 |
+
- type: ndcg_at_10
|
| 2417 |
+
value: 22.526
|
| 2418 |
+
- type: ndcg_at_100
|
| 2419 |
+
value: 36.411
|
| 2420 |
+
- type: ndcg_at_1000
|
| 2421 |
+
value: 47.461
|
| 2422 |
+
- type: ndcg_at_3
|
| 2423 |
+
value: 27.176000000000002
|
| 2424 |
+
- type: ndcg_at_5
|
| 2425 |
+
value: 23.787
|
| 2426 |
+
- type: precision_at_1
|
| 2427 |
+
value: 24.490000000000002
|
| 2428 |
+
- type: precision_at_10
|
| 2429 |
+
value: 20.0
|
| 2430 |
+
- type: precision_at_100
|
| 2431 |
+
value: 8.286
|
| 2432 |
+
- type: precision_at_1000
|
| 2433 |
+
value: 1.543
|
| 2434 |
+
- type: precision_at_3
|
| 2435 |
+
value: 29.252
|
| 2436 |
+
- type: precision_at_5
|
| 2437 |
+
value: 23.265
|
| 2438 |
+
- type: recall_at_1
|
| 2439 |
+
value: 1.6179999999999999
|
| 2440 |
+
- type: recall_at_10
|
| 2441 |
+
value: 14.443
|
| 2442 |
+
- type: recall_at_100
|
| 2443 |
+
value: 50.073
|
| 2444 |
+
- type: recall_at_1000
|
| 2445 |
+
value: 83.56700000000001
|
| 2446 |
+
- type: recall_at_3
|
| 2447 |
+
value: 5.831
|
| 2448 |
+
- type: recall_at_5
|
| 2449 |
+
value: 7.797
|
| 2450 |
+
- task:
|
| 2451 |
+
type: Classification
|
| 2452 |
+
dataset:
|
| 2453 |
+
type: None
|
| 2454 |
+
name: MTEB ToxicConversationsClassification
|
| 2455 |
+
config: default
|
| 2456 |
+
split: test
|
| 2457 |
+
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
|
| 2458 |
+
metrics:
|
| 2459 |
+
- type: accuracy
|
| 2460 |
+
value: 69.5932
|
| 2461 |
+
- type: ap
|
| 2462 |
+
value: 13.748287764670659
|
| 2463 |
+
- type: f1
|
| 2464 |
+
value: 53.6121537777008
|
| 2465 |
+
- task:
|
| 2466 |
+
type: Classification
|
| 2467 |
+
dataset:
|
| 2468 |
+
type: None
|
| 2469 |
+
name: MTEB TweetSentimentExtractionClassification
|
| 2470 |
+
config: default
|
| 2471 |
+
split: test
|
| 2472 |
+
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 2473 |
+
metrics:
|
| 2474 |
+
- type: accuracy
|
| 2475 |
+
value: 48.60498019241653
|
| 2476 |
+
- type: f1
|
| 2477 |
+
value: 48.8190614849162
|
| 2478 |
+
- task:
|
| 2479 |
+
type: Clustering
|
| 2480 |
+
dataset:
|
| 2481 |
+
type: None
|
| 2482 |
+
name: MTEB TwentyNewsgroupsClustering
|
| 2483 |
+
config: default
|
| 2484 |
+
split: test
|
| 2485 |
+
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 2486 |
+
metrics:
|
| 2487 |
+
- type: v_measure
|
| 2488 |
+
value: 37.40279692338929
|
| 2489 |
+
- task:
|
| 2490 |
+
type: PairClassification
|
| 2491 |
+
dataset:
|
| 2492 |
+
type: None
|
| 2493 |
+
name: MTEB TwitterSemEval2015
|
| 2494 |
+
config: default
|
| 2495 |
+
split: test
|
| 2496 |
+
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 2497 |
+
metrics:
|
| 2498 |
+
- type: cos_sim_accuracy
|
| 2499 |
+
value: 83.11378673183525
|
| 2500 |
+
- type: cos_sim_ap
|
| 2501 |
+
value: 63.412004464549696
|
| 2502 |
+
- type: cos_sim_f1
|
| 2503 |
+
value: 60.880921286952386
|
| 2504 |
+
- type: cos_sim_precision
|
| 2505 |
+
value: 55.34211094323332
|
| 2506 |
+
- type: cos_sim_recall
|
| 2507 |
+
value: 67.65171503957784
|
| 2508 |
+
- type: dot_accuracy
|
| 2509 |
+
value: 83.11378673183525
|
| 2510 |
+
- type: dot_ap
|
| 2511 |
+
value: 63.412004464549696
|
| 2512 |
+
- type: dot_f1
|
| 2513 |
+
value: 60.880921286952386
|
| 2514 |
+
- type: dot_precision
|
| 2515 |
+
value: 55.34211094323332
|
| 2516 |
+
- type: dot_recall
|
| 2517 |
+
value: 67.65171503957784
|
| 2518 |
+
- type: euclidean_accuracy
|
| 2519 |
+
value: 83.11378673183525
|
| 2520 |
+
- type: euclidean_ap
|
| 2521 |
+
value: 63.412004464549696
|
| 2522 |
+
- type: euclidean_f1
|
| 2523 |
+
value: 60.880921286952386
|
| 2524 |
+
- type: euclidean_precision
|
| 2525 |
+
value: 55.34211094323332
|
| 2526 |
+
- type: euclidean_recall
|
| 2527 |
+
value: 67.65171503957784
|
| 2528 |
+
- type: manhattan_accuracy
|
| 2529 |
+
value: 82.13625797222389
|
| 2530 |
+
- type: manhattan_ap
|
| 2531 |
+
value: 60.704142220415335
|
| 2532 |
+
- type: manhattan_f1
|
| 2533 |
+
value: 58.10686319668357
|
| 2534 |
+
- type: manhattan_precision
|
| 2535 |
+
value: 51.55292194523907
|
| 2536 |
+
- type: manhattan_recall
|
| 2537 |
+
value: 66.56992084432719
|
| 2538 |
+
- type: max_accuracy
|
| 2539 |
+
value: 83.11378673183525
|
| 2540 |
+
- type: max_ap
|
| 2541 |
+
value: 63.412004464549696
|
| 2542 |
+
- type: max_f1
|
| 2543 |
+
value: 60.880921286952386
|
| 2544 |
+
- task:
|
| 2545 |
+
type: PairClassification
|
| 2546 |
+
dataset:
|
| 2547 |
+
type: None
|
| 2548 |
+
name: MTEB TwitterURLCorpus
|
| 2549 |
+
config: default
|
| 2550 |
+
split: test
|
| 2551 |
+
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 2552 |
+
metrics:
|
| 2553 |
+
- type: cos_sim_accuracy
|
| 2554 |
+
value: 87.48593161796096
|
| 2555 |
+
- type: cos_sim_ap
|
| 2556 |
+
value: 83.09276630048417
|
| 2557 |
+
- type: cos_sim_f1
|
| 2558 |
+
value: 75.22376690154258
|
| 2559 |
+
- type: cos_sim_precision
|
| 2560 |
+
value: 74.4328031958996
|
| 2561 |
+
- type: cos_sim_recall
|
| 2562 |
+
value: 76.03172158915923
|
| 2563 |
+
- type: dot_accuracy
|
| 2564 |
+
value: 87.48593161796096
|
| 2565 |
+
- type: dot_ap
|
| 2566 |
+
value: 83.09276630048417
|
| 2567 |
+
- type: dot_f1
|
| 2568 |
+
value: 75.22376690154258
|
| 2569 |
+
- type: dot_precision
|
| 2570 |
+
value: 74.4328031958996
|
| 2571 |
+
- type: dot_recall
|
| 2572 |
+
value: 76.03172158915923
|
| 2573 |
+
- type: euclidean_accuracy
|
| 2574 |
+
value: 87.48593161796096
|
| 2575 |
+
- type: euclidean_ap
|
| 2576 |
+
value: 83.09276683624702
|
| 2577 |
+
- type: euclidean_f1
|
| 2578 |
+
value: 75.22376690154258
|
| 2579 |
+
- type: euclidean_precision
|
| 2580 |
+
value: 74.4328031958996
|
| 2581 |
+
- type: euclidean_recall
|
| 2582 |
+
value: 76.03172158915923
|
| 2583 |
+
- type: manhattan_accuracy
|
| 2584 |
+
value: 87.49369348391353
|
| 2585 |
+
- type: manhattan_ap
|
| 2586 |
+
value: 82.94869347657408
|
| 2587 |
+
- type: manhattan_f1
|
| 2588 |
+
value: 74.95875695376942
|
| 2589 |
+
- type: manhattan_precision
|
| 2590 |
+
value: 74.70367821365757
|
| 2591 |
+
- type: manhattan_recall
|
| 2592 |
+
value: 75.21558361564522
|
| 2593 |
+
- type: max_accuracy
|
| 2594 |
+
value: 87.49369348391353
|
| 2595 |
+
- type: max_ap
|
| 2596 |
+
value: 83.09276683624702
|
| 2597 |
+
- type: max_f1
|
| 2598 |
+
value: 75.22376690154258
|
| 2599 |
+
---
|