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README.md
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@@ -1,3 +1,687 @@
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| 1 |
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| 2 |
This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard).
|
| 3 |
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|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- mteb
|
| 4 |
+
model-index:
|
| 5 |
+
- name: universal-sentence-encoder-4
|
| 6 |
+
results:
|
| 7 |
+
- task:
|
| 8 |
+
type: Classification
|
| 9 |
+
dataset:
|
| 10 |
+
type: mteb/amazon_counterfactual
|
| 11 |
+
name: MTEB AmazonCounterfactualClassification (en)
|
| 12 |
+
config: en
|
| 13 |
+
split: test
|
| 14 |
+
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
|
| 15 |
+
metrics:
|
| 16 |
+
- type: accuracy
|
| 17 |
+
value: 70.67164179104478
|
| 18 |
+
- type: ap
|
| 19 |
+
value: 32.834763426716584
|
| 20 |
+
- type: f1
|
| 21 |
+
value: 64.42714654873818
|
| 22 |
+
- task:
|
| 23 |
+
type: Classification
|
| 24 |
+
dataset:
|
| 25 |
+
type: mteb/amazon_polarity
|
| 26 |
+
name: MTEB AmazonPolarityClassification
|
| 27 |
+
config: default
|
| 28 |
+
split: test
|
| 29 |
+
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
|
| 30 |
+
metrics:
|
| 31 |
+
- type: accuracy
|
| 32 |
+
value: 67.73207500000001
|
| 33 |
+
- type: ap
|
| 34 |
+
value: 62.47524029220297
|
| 35 |
+
- type: f1
|
| 36 |
+
value: 67.48570902687877
|
| 37 |
+
- task:
|
| 38 |
+
type: Classification
|
| 39 |
+
dataset:
|
| 40 |
+
type: mteb/amazon_reviews_multi
|
| 41 |
+
name: MTEB AmazonReviewsClassification (en)
|
| 42 |
+
config: en
|
| 43 |
+
split: test
|
| 44 |
+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
|
| 45 |
+
metrics:
|
| 46 |
+
- type: accuracy
|
| 47 |
+
value: 32.62
|
| 48 |
+
- type: f1
|
| 49 |
+
value: 32.13548057908922
|
| 50 |
+
- task:
|
| 51 |
+
type: Clustering
|
| 52 |
+
dataset:
|
| 53 |
+
type: mteb/arxiv-clustering-p2p
|
| 54 |
+
name: MTEB ArxivClusteringP2P
|
| 55 |
+
config: default
|
| 56 |
+
split: test
|
| 57 |
+
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 58 |
+
metrics:
|
| 59 |
+
- type: v_measure
|
| 60 |
+
value: 35.12555128655114
|
| 61 |
+
- task:
|
| 62 |
+
type: Clustering
|
| 63 |
+
dataset:
|
| 64 |
+
type: mteb/arxiv-clustering-s2s
|
| 65 |
+
name: MTEB ArxivClusteringS2S
|
| 66 |
+
config: default
|
| 67 |
+
split: test
|
| 68 |
+
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 69 |
+
metrics:
|
| 70 |
+
- type: v_measure
|
| 71 |
+
value: 23.456590839508902
|
| 72 |
+
- task:
|
| 73 |
+
type: STS
|
| 74 |
+
dataset:
|
| 75 |
+
type: mteb/biosses-sts
|
| 76 |
+
name: MTEB BIOSSES
|
| 77 |
+
config: default
|
| 78 |
+
split: test
|
| 79 |
+
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
|
| 80 |
+
metrics:
|
| 81 |
+
- type: cos_sim_pearson
|
| 82 |
+
value: 64.7357059982867
|
| 83 |
+
- type: cos_sim_spearman
|
| 84 |
+
value: 63.37975740377988
|
| 85 |
+
- type: euclidean_pearson
|
| 86 |
+
value: 63.49896800825232
|
| 87 |
+
- type: euclidean_spearman
|
| 88 |
+
value: 63.37975740377988
|
| 89 |
+
- type: manhattan_pearson
|
| 90 |
+
value: 64.00838198208166
|
| 91 |
+
- type: manhattan_spearman
|
| 92 |
+
value: 63.31710537380123
|
| 93 |
+
- task:
|
| 94 |
+
type: Classification
|
| 95 |
+
dataset:
|
| 96 |
+
type: mteb/banking77
|
| 97 |
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name: MTEB Banking77Classification
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| 98 |
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config: default
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| 99 |
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split: test
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| 100 |
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|
| 102 |
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| 103 |
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value: 74.12012987012989
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value: 73.23976030012078
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|
| 107 |
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type: Clustering
|
| 108 |
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dataset:
|
| 109 |
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type: mteb/biorxiv-clustering-p2p
|
| 110 |
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name: MTEB BiorxivClusteringP2P
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| 111 |
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config: default
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| 112 |
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split: test
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|
| 115 |
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- type: v_measure
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| 116 |
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value: 31.169576856541603
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| 117 |
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- task:
|
| 118 |
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type: Clustering
|
| 119 |
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dataset:
|
| 120 |
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type: mteb/biorxiv-clustering-s2s
|
| 121 |
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name: MTEB BiorxivClusteringS2S
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config: default
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| 123 |
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split: test
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metrics:
|
| 126 |
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- type: v_measure
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| 127 |
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value: 18.81055418061209
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| 128 |
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|
| 129 |
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type: Classification
|
| 130 |
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dataset:
|
| 131 |
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type: mteb/emotion
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| 132 |
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name: MTEB EmotionClassification
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| 133 |
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config: default
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split: test
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|
| 137 |
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value: 38.64000000000001
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value: 35.09699868913662
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|
| 142 |
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type: Classification
|
| 143 |
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dataset:
|
| 144 |
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type: mteb/imdb
|
| 145 |
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name: MTEB ImdbClassification
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config: default
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|
| 150 |
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|
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value: 68.43239999999999
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type: Classification
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| 158 |
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dataset:
|
| 159 |
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type: mteb/mtop_domain
|
| 160 |
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name: MTEB MTOPDomainClassification (en)
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config: en
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revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
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|
| 165 |
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value: 90.11627906976744
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value: 89.69218132313695
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|
| 170 |
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type: Classification
|
| 171 |
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dataset:
|
| 172 |
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type: mteb/mtop_intent
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| 173 |
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name: MTEB MTOPIntentClassification (en)
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config: en
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metrics:
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| 178 |
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value: 64.9954400364797
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value: 46.61477433032086
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| 183 |
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type: Classification
|
| 184 |
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dataset:
|
| 185 |
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type: mteb/amazon_massive_intent
|
| 186 |
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name: MTEB MassiveIntentClassification (en)
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config: en
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split: test
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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
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|
| 191 |
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value: 67.23268325487558
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| 196 |
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type: Classification
|
| 197 |
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dataset:
|
| 198 |
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type: mteb/amazon_massive_scenario
|
| 199 |
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name: MTEB MassiveScenarioClassification (en)
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config: en
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revision: 7d571f92784cd94a019292a1f45445077d0ef634
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|
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value: 72.78749159381303
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|
| 209 |
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type: Clustering
|
| 210 |
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dataset:
|
| 211 |
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type: mteb/medrxiv-clustering-p2p
|
| 212 |
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name: MTEB MedrxivClusteringP2P
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| 213 |
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config: default
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split: test
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metrics:
|
| 217 |
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value: 28.88138682114816
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| 219 |
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|
| 220 |
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type: Clustering
|
| 221 |
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dataset:
|
| 222 |
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type: mteb/medrxiv-clustering-s2s
|
| 223 |
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name: MTEB MedrxivClusteringS2S
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| 224 |
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config: default
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| 225 |
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split: test
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revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
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metrics:
|
| 228 |
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- type: v_measure
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| 229 |
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value: 23.311493283906064
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| 230 |
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- task:
|
| 231 |
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type: Clustering
|
| 232 |
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dataset:
|
| 233 |
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type: mteb/reddit-clustering
|
| 234 |
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name: MTEB RedditClustering
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| 235 |
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config: default
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split: test
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metrics:
|
| 239 |
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- type: v_measure
|
| 240 |
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value: 49.71559043766936
|
| 241 |
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- task:
|
| 242 |
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type: Clustering
|
| 243 |
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dataset:
|
| 244 |
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type: mteb/reddit-clustering-p2p
|
| 245 |
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name: MTEB RedditClusteringP2P
|
| 246 |
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config: default
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split: test
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revision: 282350215ef01743dc01b456c7f5241fa8937f16
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metrics:
|
| 250 |
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|
| 251 |
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value: 57.91704617095672
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| 252 |
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- task:
|
| 253 |
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type: STS
|
| 254 |
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dataset:
|
| 255 |
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type: mteb/sickr-sts
|
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name: MTEB SICK-R
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config: default
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split: test
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metrics:
|
| 261 |
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value: 77.38041457279672
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value: 69.79282361714223
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value: 74.02315074475364
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value: 69.79282304260158
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value: 73.01688608657159
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|
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type: STS
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dataset:
|
| 276 |
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type: mteb/sts12-sts
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name: MTEB STS12
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split: test
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metrics:
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value: 72.58420052741107
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value: 67.05792005966953
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value: 67.12625747442266
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value: 65.7252617197503
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|
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dataset:
|
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type: mteb/sts13-sts
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name: MTEB STS13
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split: test
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metrics:
|
| 303 |
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value: 69.55548148750847
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value: 71.22072782671158
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value: 70.3490839338159
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|
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type: STS
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dataset:
|
| 318 |
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type: mteb/sts14-sts
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split: test
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value: 73.74818660795891
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value: 72.60887534657319
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value: 70.5913727471932
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value: 71.95704368086712
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value: 69.58620240967204
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dataset:
|
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type: mteb/sts15-sts
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config: default
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split: test
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value: 79.6360473168554
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value: 79.82176999472074
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value: 78.94486463380255
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value: 79.20674341072848
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type: STS
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| 359 |
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dataset:
|
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type: mteb/sts16-sts
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name: MTEB STS16
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config: default
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split: test
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revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
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metrics:
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value: 74.84322872565855
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- type: euclidean_pearson
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value: 75.5333191548161
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value: 74.96648591478875
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|
| 379 |
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type: STS
|
| 380 |
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dataset:
|
| 381 |
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type: mteb/sts17-crosslingual-sts
|
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name: MTEB STS17 (en-en)
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config: en-en
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split: test
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revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
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metrics:
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| 387 |
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value: 83.79136005773537
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| 389 |
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value: 84.94411992446793
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value: 82.81698401022742
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value: 84.02022263657062
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|
| 400 |
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type: STS
|
| 401 |
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dataset:
|
| 402 |
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type: mteb/sts22-crosslingual-sts
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| 403 |
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name: MTEB STS22 (en)
|
| 404 |
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config: en
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split: test
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revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
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metrics:
|
| 408 |
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value: 60.02909344132073
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value: 61.54466129341342
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value: 58.76127065249476
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value: 58.08063159428285
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|
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type: STS
|
| 422 |
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dataset:
|
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type: mteb/stsbenchmark-sts
|
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name: MTEB STSBenchmark
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config: default
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split: test
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metrics:
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value: 78.72737325889034
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value: 75.68141928725497
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|
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type: PairClassification
|
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dataset:
|
| 444 |
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type: mteb/sprintduplicatequestions-pairclassification
|
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name: MTEB SprintDuplicateQuestions
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config: default
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split: test
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metrics:
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value: 99.61980198019802
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value: 81.2
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value: 81.2
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value: 81.2
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|
| 486 |
+
- type: manhattan_precision
|
| 487 |
+
value: 84.01727861771057
|
| 488 |
+
- type: manhattan_recall
|
| 489 |
+
value: 77.8
|
| 490 |
+
- type: max_accuracy
|
| 491 |
+
value: 99.63564356435643
|
| 492 |
+
- type: max_ap
|
| 493 |
+
value: 87.12233265654545
|
| 494 |
+
- type: max_f1
|
| 495 |
+
value: 80.78920041536864
|
| 496 |
+
- task:
|
| 497 |
+
type: Clustering
|
| 498 |
+
dataset:
|
| 499 |
+
type: mteb/stackexchange-clustering
|
| 500 |
+
name: MTEB StackExchangeClustering
|
| 501 |
+
config: default
|
| 502 |
+
split: test
|
| 503 |
+
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
|
| 504 |
+
metrics:
|
| 505 |
+
- type: v_measure
|
| 506 |
+
value: 54.64344160961463
|
| 507 |
+
- task:
|
| 508 |
+
type: Clustering
|
| 509 |
+
dataset:
|
| 510 |
+
type: mteb/stackexchange-clustering-p2p
|
| 511 |
+
name: MTEB StackExchangeClusteringP2P
|
| 512 |
+
config: default
|
| 513 |
+
split: test
|
| 514 |
+
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
|
| 515 |
+
metrics:
|
| 516 |
+
- type: v_measure
|
| 517 |
+
value: 31.57666192425415
|
| 518 |
+
- task:
|
| 519 |
+
type: Summarization
|
| 520 |
+
dataset:
|
| 521 |
+
type: mteb/summeval
|
| 522 |
+
name: MTEB SummEval
|
| 523 |
+
config: default
|
| 524 |
+
split: test
|
| 525 |
+
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
|
| 526 |
+
metrics:
|
| 527 |
+
- type: cos_sim_pearson
|
| 528 |
+
value: 29.77545231337259
|
| 529 |
+
- type: cos_sim_spearman
|
| 530 |
+
value: 29.420072483158698
|
| 531 |
+
- type: dot_pearson
|
| 532 |
+
value: 29.775453888622426
|
| 533 |
+
- type: dot_spearman
|
| 534 |
+
value: 29.420072483158698
|
| 535 |
+
- task:
|
| 536 |
+
type: Classification
|
| 537 |
+
dataset:
|
| 538 |
+
type: mteb/toxic_conversations_50k
|
| 539 |
+
name: MTEB ToxicConversationsClassification
|
| 540 |
+
config: default
|
| 541 |
+
split: test
|
| 542 |
+
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
|
| 543 |
+
metrics:
|
| 544 |
+
- type: accuracy
|
| 545 |
+
value: 68.98920000000001
|
| 546 |
+
- type: ap
|
| 547 |
+
value: 12.803310864930856
|
| 548 |
+
- type: f1
|
| 549 |
+
value: 52.67881359079218
|
| 550 |
+
- task:
|
| 551 |
+
type: Classification
|
| 552 |
+
dataset:
|
| 553 |
+
type: mteb/tweet_sentiment_extraction
|
| 554 |
+
name: MTEB TweetSentimentExtractionClassification
|
| 555 |
+
config: default
|
| 556 |
+
split: test
|
| 557 |
+
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
|
| 558 |
+
metrics:
|
| 559 |
+
- type: accuracy
|
| 560 |
+
value: 57.00622524052065
|
| 561 |
+
- type: f1
|
| 562 |
+
value: 57.2232294145327
|
| 563 |
+
- task:
|
| 564 |
+
type: Clustering
|
| 565 |
+
dataset:
|
| 566 |
+
type: mteb/twentynewsgroups-clustering
|
| 567 |
+
name: MTEB TwentyNewsgroupsClustering
|
| 568 |
+
config: default
|
| 569 |
+
split: test
|
| 570 |
+
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
|
| 571 |
+
metrics:
|
| 572 |
+
- type: v_measure
|
| 573 |
+
value: 38.23134611732841
|
| 574 |
+
- task:
|
| 575 |
+
type: PairClassification
|
| 576 |
+
dataset:
|
| 577 |
+
type: mteb/twittersemeval2015-pairclassification
|
| 578 |
+
name: MTEB TwitterSemEval2015
|
| 579 |
+
config: default
|
| 580 |
+
split: test
|
| 581 |
+
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
|
| 582 |
+
metrics:
|
| 583 |
+
- type: cos_sim_accuracy
|
| 584 |
+
value: 82.25546879656673
|
| 585 |
+
- type: cos_sim_ap
|
| 586 |
+
value: 60.64429023120581
|
| 587 |
+
- type: cos_sim_f1
|
| 588 |
+
value: 57.75789091788608
|
| 589 |
+
- type: cos_sim_precision
|
| 590 |
+
value: 53.31547220361688
|
| 591 |
+
- type: cos_sim_recall
|
| 592 |
+
value: 63.007915567282325
|
| 593 |
+
- type: dot_accuracy
|
| 594 |
+
value: 82.25546879656673
|
| 595 |
+
- type: dot_ap
|
| 596 |
+
value: 60.64428864700383
|
| 597 |
+
- type: dot_f1
|
| 598 |
+
value: 57.75789091788608
|
| 599 |
+
- type: dot_precision
|
| 600 |
+
value: 53.31547220361688
|
| 601 |
+
- type: dot_recall
|
| 602 |
+
value: 63.007915567282325
|
| 603 |
+
- type: euclidean_accuracy
|
| 604 |
+
value: 82.25546879656673
|
| 605 |
+
- type: euclidean_ap
|
| 606 |
+
value: 60.64429357965402
|
| 607 |
+
- type: euclidean_f1
|
| 608 |
+
value: 57.75789091788608
|
| 609 |
+
- type: euclidean_precision
|
| 610 |
+
value: 53.31547220361688
|
| 611 |
+
- type: euclidean_recall
|
| 612 |
+
value: 63.007915567282325
|
| 613 |
+
- type: manhattan_accuracy
|
| 614 |
+
value: 82.14221851344102
|
| 615 |
+
- type: manhattan_ap
|
| 616 |
+
value: 59.542389876094134
|
| 617 |
+
- type: manhattan_f1
|
| 618 |
+
value: 56.935892792466504
|
| 619 |
+
- type: manhattan_precision
|
| 620 |
+
value: 52.48163810371689
|
| 621 |
+
- type: manhattan_recall
|
| 622 |
+
value: 62.21635883905014
|
| 623 |
+
- type: max_accuracy
|
| 624 |
+
value: 82.25546879656673
|
| 625 |
+
- type: max_ap
|
| 626 |
+
value: 60.64429357965402
|
| 627 |
+
- type: max_f1
|
| 628 |
+
value: 57.75789091788608
|
| 629 |
+
- task:
|
| 630 |
+
type: PairClassification
|
| 631 |
+
dataset:
|
| 632 |
+
type: mteb/twitterurlcorpus-pairclassification
|
| 633 |
+
name: MTEB TwitterURLCorpus
|
| 634 |
+
config: default
|
| 635 |
+
split: test
|
| 636 |
+
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
|
| 637 |
+
metrics:
|
| 638 |
+
- type: cos_sim_accuracy
|
| 639 |
+
value: 86.99305312997244
|
| 640 |
+
- type: cos_sim_ap
|
| 641 |
+
value: 81.6822772881566
|
| 642 |
+
- type: cos_sim_f1
|
| 643 |
+
value: 73.70381406436233
|
| 644 |
+
- type: cos_sim_precision
|
| 645 |
+
value: 71.38528138528139
|
| 646 |
+
- type: cos_sim_recall
|
| 647 |
+
value: 76.17801047120419
|
| 648 |
+
- type: dot_accuracy
|
| 649 |
+
value: 86.99305312997244
|
| 650 |
+
- type: dot_ap
|
| 651 |
+
value: 81.6822783032573
|
| 652 |
+
- type: dot_f1
|
| 653 |
+
value: 73.70381406436233
|
| 654 |
+
- type: dot_precision
|
| 655 |
+
value: 71.38528138528139
|
| 656 |
+
- type: dot_recall
|
| 657 |
+
value: 76.17801047120419
|
| 658 |
+
- type: euclidean_accuracy
|
| 659 |
+
value: 86.99305312997244
|
| 660 |
+
- type: euclidean_ap
|
| 661 |
+
value: 81.68228020882522
|
| 662 |
+
- type: euclidean_f1
|
| 663 |
+
value: 73.70381406436233
|
| 664 |
+
- type: euclidean_precision
|
| 665 |
+
value: 71.38528138528139
|
| 666 |
+
- type: euclidean_recall
|
| 667 |
+
value: 76.17801047120419
|
| 668 |
+
- type: manhattan_accuracy
|
| 669 |
+
value: 86.84557767687352
|
| 670 |
+
- type: manhattan_ap
|
| 671 |
+
value: 81.3912803407899
|
| 672 |
+
- type: manhattan_f1
|
| 673 |
+
value: 73.48302793631723
|
| 674 |
+
- type: manhattan_precision
|
| 675 |
+
value: 71.71650542362944
|
| 676 |
+
- type: manhattan_recall
|
| 677 |
+
value: 75.33877425315676
|
| 678 |
+
- type: max_accuracy
|
| 679 |
+
value: 86.99305312997244
|
| 680 |
+
- type: max_ap
|
| 681 |
+
value: 81.68228020882522
|
| 682 |
+
- type: max_f1
|
| 683 |
+
value: 73.70381406436233
|
| 684 |
+
---
|
| 685 |
|
| 686 |
This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard).
|
| 687 |
|