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README.md
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@@ -1,4 +1,687 @@
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| 2 |
This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard).
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```
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| 1 |
+
---
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| 2 |
+
tags:
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| 3 |
+
- mteb
|
| 4 |
+
model-index:
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| 5 |
+
- name: universal-sentence-encoder-large-5
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| 6 |
+
results:
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| 7 |
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- task:
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type: Classification
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| 9 |
+
dataset:
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| 10 |
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type: mteb/amazon_counterfactual
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| 11 |
+
name: MTEB AmazonCounterfactualClassification (en)
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| 12 |
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config: en
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| 13 |
+
split: test
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| 14 |
+
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
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| 15 |
+
metrics:
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| 16 |
+
- type: accuracy
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| 17 |
+
value: 76.19402985074628
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| 18 |
+
- type: ap
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| 19 |
+
value: 39.249966888759666
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| 20 |
+
- type: f1
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| 21 |
+
value: 70.17510532980124
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| 22 |
+
- task:
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| 23 |
+
type: Classification
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| 24 |
+
dataset:
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| 25 |
+
type: mteb/amazon_polarity
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| 26 |
+
name: MTEB AmazonPolarityClassification
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| 27 |
+
config: default
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| 28 |
+
split: test
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| 29 |
+
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
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| 30 |
+
metrics:
|
| 31 |
+
- type: accuracy
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| 32 |
+
value: 69.6285
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| 33 |
+
- type: ap
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| 34 |
+
value: 63.97317997322299
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| 35 |
+
- type: f1
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| 36 |
+
value: 69.48624121982243
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| 37 |
+
- task:
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| 38 |
+
type: Classification
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| 39 |
+
dataset:
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| 40 |
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type: mteb/amazon_reviews_multi
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| 41 |
+
name: MTEB AmazonReviewsClassification (en)
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| 42 |
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config: en
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| 43 |
+
split: test
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| 44 |
+
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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| 45 |
+
metrics:
|
| 46 |
+
- type: accuracy
|
| 47 |
+
value: 35.534
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| 48 |
+
- type: f1
|
| 49 |
+
value: 34.974303844745194
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| 50 |
+
- task:
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| 51 |
+
type: Clustering
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| 52 |
+
dataset:
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| 53 |
+
type: mteb/arxiv-clustering-p2p
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| 54 |
+
name: MTEB ArxivClusteringP2P
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| 55 |
+
config: default
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| 56 |
+
split: test
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| 57 |
+
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
|
| 58 |
+
metrics:
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| 59 |
+
- type: v_measure
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| 60 |
+
value: 34.718110225806626
|
| 61 |
+
- task:
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| 62 |
+
type: Clustering
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| 63 |
+
dataset:
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| 64 |
+
type: mteb/arxiv-clustering-s2s
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| 65 |
+
name: MTEB ArxivClusteringS2S
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| 66 |
+
config: default
|
| 67 |
+
split: test
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| 68 |
+
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
|
| 69 |
+
metrics:
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| 70 |
+
- type: v_measure
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| 71 |
+
value: 25.267234486849127
|
| 72 |
+
- task:
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| 73 |
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type: STS
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| 74 |
+
dataset:
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| 75 |
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type: mteb/biosses-sts
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| 76 |
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name: MTEB BIOSSES
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| 77 |
+
config: default
|
| 78 |
+
split: test
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| 79 |
+
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
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| 80 |
+
metrics:
|
| 81 |
+
- type: cos_sim_pearson
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| 82 |
+
value: 69.65040443392367
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| 83 |
+
- type: cos_sim_spearman
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| 84 |
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value: 69.35579718635816
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| 85 |
+
- type: euclidean_pearson
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| 86 |
+
value: 68.74078260783044
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| 87 |
+
- type: euclidean_spearman
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| 88 |
+
value: 69.35579718635816
|
| 89 |
+
- type: manhattan_pearson
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| 90 |
+
value: 68.97023207188357
|
| 91 |
+
- type: manhattan_spearman
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| 92 |
+
value: 69.2063961917937
|
| 93 |
+
- task:
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| 94 |
+
type: Classification
|
| 95 |
+
dataset:
|
| 96 |
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type: mteb/banking77
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| 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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|
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value: 77.40193921057201
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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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split: test
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|
| 115 |
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value: 28.39184796722482
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|
| 118 |
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type: Clustering
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| 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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split: test
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|
| 126 |
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- type: v_measure
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| 127 |
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value: 20.5151608432177
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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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config: default
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|
| 137 |
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value: 45.48
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value: 41.2632839288363
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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
|
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name: MTEB ImdbClassification
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|
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type: Classification
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|
| 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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|
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value: 92.94117647058823
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| 170 |
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type: Classification
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| 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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value: 52.53178214778298
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type: Classification
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| 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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revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
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value: 71.68796234028245
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| 196 |
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type: Classification
|
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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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value: 77.20242098184264
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|
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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:
|
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value: 30.266855488757034
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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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split: test
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metrics:
|
| 228 |
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value: 24.580327378539057
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| 230 |
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|
| 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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config: default
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split: test
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metrics:
|
| 239 |
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value: 56.928616405043684
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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
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| 246 |
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config: default
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split: test
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metrics:
|
| 250 |
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value: 58.94536303256525
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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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split: test
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metrics:
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value: 82.43899708996477
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value: 76.84011555220044
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value: 79.6116260676631
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dataset:
|
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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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value: 79.8291506264289
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value: 74.17957476459091
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dataset:
|
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config: default
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split: test
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revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
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metrics:
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value: 70.91903439531401
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value: 73.22383725261588
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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: 75.19632733755482
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value: 74.02395011081532
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value: 73.52941749980135
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dataset:
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split: test
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value: 82.3189209945513
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value: 81.78597437071429
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value: 82.21582873302081
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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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metrics:
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value: 78.44968010602165
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value: 79.4157474030238
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value: 79.13275737559012
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value: 79.4847570398719
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|
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type: STS
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| 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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metrics:
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| 387 |
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value: 84.51882547098218
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value: 84.78417242196153
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value: 84.09108278425708
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|
| 400 |
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|
| 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)
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config: en
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split: test
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revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
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metrics:
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value: 44.814384769251085
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value: 47.479132435178855
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value: 48.289920897667095
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|
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|
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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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value: 81.25646447054616
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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: 76.7
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| 485 |
+
value: 80.2788844621514
|
| 486 |
+
- type: manhattan_precision
|
| 487 |
+
value: 79.96031746031747
|
| 488 |
+
- type: manhattan_recall
|
| 489 |
+
value: 80.60000000000001
|
| 490 |
+
- type: max_accuracy
|
| 491 |
+
value: 99.6108910891089
|
| 492 |
+
- type: max_ap
|
| 493 |
+
value: 85.13355467581354
|
| 494 |
+
- type: max_f1
|
| 495 |
+
value: 80.2788844621514
|
| 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: 60.8469558550317
|
| 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: 33.14392913702168
|
| 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: 29.566148619704457
|
| 529 |
+
- type: cos_sim_spearman
|
| 530 |
+
value: 29.01201818902588
|
| 531 |
+
- type: dot_pearson
|
| 532 |
+
value: 29.566149876183374
|
| 533 |
+
- type: dot_spearman
|
| 534 |
+
value: 29.014046950422795
|
| 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: 70.17420000000001
|
| 546 |
+
- type: ap
|
| 547 |
+
value: 13.49623412034604
|
| 548 |
+
- type: f1
|
| 549 |
+
value: 53.7079366494688
|
| 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: 59.309564233163556
|
| 561 |
+
- type: f1
|
| 562 |
+
value: 59.33623172630094
|
| 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: 42.42960819361032
|
| 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: 85.04500208618943
|
| 585 |
+
- type: cos_sim_ap
|
| 586 |
+
value: 70.12785509302904
|
| 587 |
+
- type: cos_sim_f1
|
| 588 |
+
value: 65.36573392243496
|
| 589 |
+
- type: cos_sim_precision
|
| 590 |
+
value: 61.10601193207894
|
| 591 |
+
- type: cos_sim_recall
|
| 592 |
+
value: 70.26385224274406
|
| 593 |
+
- type: dot_accuracy
|
| 594 |
+
value: 85.04500208618943
|
| 595 |
+
- type: dot_ap
|
| 596 |
+
value: 70.12785837450095
|
| 597 |
+
- type: dot_f1
|
| 598 |
+
value: 65.36573392243496
|
| 599 |
+
- type: dot_precision
|
| 600 |
+
value: 61.10601193207894
|
| 601 |
+
- type: dot_recall
|
| 602 |
+
value: 70.26385224274406
|
| 603 |
+
- type: euclidean_accuracy
|
| 604 |
+
value: 85.04500208618943
|
| 605 |
+
- type: euclidean_ap
|
| 606 |
+
value: 70.1278575285826
|
| 607 |
+
- type: euclidean_f1
|
| 608 |
+
value: 65.36573392243496
|
| 609 |
+
- type: euclidean_precision
|
| 610 |
+
value: 61.10601193207894
|
| 611 |
+
- type: euclidean_recall
|
| 612 |
+
value: 70.26385224274406
|
| 613 |
+
- type: manhattan_accuracy
|
| 614 |
+
value: 85.03308100375514
|
| 615 |
+
- type: manhattan_ap
|
| 616 |
+
value: 69.67192372362932
|
| 617 |
+
- type: manhattan_f1
|
| 618 |
+
value: 64.95726495726495
|
| 619 |
+
- type: manhattan_precision
|
| 620 |
+
value: 61.218771888862946
|
| 621 |
+
- type: manhattan_recall
|
| 622 |
+
value: 69.1820580474934
|
| 623 |
+
- type: max_accuracy
|
| 624 |
+
value: 85.04500208618943
|
| 625 |
+
- type: max_ap
|
| 626 |
+
value: 70.12785837450095
|
| 627 |
+
- type: max_f1
|
| 628 |
+
value: 65.36573392243496
|
| 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: 88.18644002018085
|
| 640 |
+
- type: cos_sim_ap
|
| 641 |
+
value: 84.09120337117118
|
| 642 |
+
- type: cos_sim_f1
|
| 643 |
+
value: 76.33478718604302
|
| 644 |
+
- type: cos_sim_precision
|
| 645 |
+
value: 74.59582598471486
|
| 646 |
+
- type: cos_sim_recall
|
| 647 |
+
value: 78.15676008623345
|
| 648 |
+
- type: dot_accuracy
|
| 649 |
+
value: 88.18644002018085
|
| 650 |
+
- type: dot_ap
|
| 651 |
+
value: 84.09120289232122
|
| 652 |
+
- type: dot_f1
|
| 653 |
+
value: 76.33478718604302
|
| 654 |
+
- type: dot_precision
|
| 655 |
+
value: 74.59582598471486
|
| 656 |
+
- type: dot_recall
|
| 657 |
+
value: 78.15676008623345
|
| 658 |
+
- type: euclidean_accuracy
|
| 659 |
+
value: 88.18644002018085
|
| 660 |
+
- type: euclidean_ap
|
| 661 |
+
value: 84.091202102378
|
| 662 |
+
- type: euclidean_f1
|
| 663 |
+
value: 76.33478718604302
|
| 664 |
+
- type: euclidean_precision
|
| 665 |
+
value: 74.59582598471486
|
| 666 |
+
- type: euclidean_recall
|
| 667 |
+
value: 78.15676008623345
|
| 668 |
+
- type: manhattan_accuracy
|
| 669 |
+
value: 88.19032095315714
|
| 670 |
+
- type: manhattan_ap
|
| 671 |
+
value: 84.0865561436236
|
| 672 |
+
- type: manhattan_f1
|
| 673 |
+
value: 76.16665422235496
|
| 674 |
+
- type: manhattan_precision
|
| 675 |
+
value: 73.93100449340484
|
| 676 |
+
- type: manhattan_recall
|
| 677 |
+
value: 78.54173082845703
|
| 678 |
+
- type: max_accuracy
|
| 679 |
+
value: 88.19032095315714
|
| 680 |
+
- type: max_ap
|
| 681 |
+
value: 84.09120337117118
|
| 682 |
+
- type: max_f1
|
| 683 |
+
value: 76.33478718604302
|
| 684 |
+
---
|
| 685 |
This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard).
|
| 686 |
|
| 687 |
```
|