Model: mlx-community/multilingual-e5-small-mlx
Author: mlx-community
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, bert, mteb, Sentence Transformers, sentence-similarity, mlx, multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lo, lt, lv, mg, mk, ml, mn, mr, ms, my, ne, nl, no, om, or, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, so, sq, sr, su, sv, sw, ta, te, th, tl, tr, ug, uk, ur, uz, vi, xh, yi, zh, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: language: multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lo, lt, lv, mg, mk, ml, mn, mr, ms, my, ne, nl, no, om, or, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, so, sq, sr, su, sv, sw, ta, te, th, tl, tr, ug, uk, ur, uz, vi, xh, yi, zh
license: mit
tags: mteb, Sentence Transformers, sentence-similarity, sentence-transformers, mlx
model-index: name: multilingual-e5-small
results: task: type: Classification
dataset: name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 73.79104477611939
verified: no, type: ap
value: 36.9996434842022
verified: no, type: f1
value: 67.95453679103099
verified: no, task: type: Classification
dataset: name: MTEB AmazonCounterfactualClassification (de)
type: mteb/amazon_counterfactual
config: de
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 71.64882226980728
verified: no, type: ap
value: 82.11942130026586
verified: no, type: f1
value: 69.87963421606715
verified: no, task: type: Classification
dataset: name: MTEB AmazonCounterfactualClassification (en-ext)
type: mteb/amazon_counterfactual
config: en-ext
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 75.8095952023988
verified: no, type: ap
value: 24.46869495579561
verified: no, type: f1
value: 63.00108480037597
verified: no, task: type: Classification
dataset: name: MTEB AmazonCounterfactualClassification (ja)
type: mteb/amazon_counterfactual
config: ja
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 64.186295503212
verified: no, type: ap
value: 15.496804690197042
verified: no, type: f1
value: 52.07153895475031
verified: no, task: type: Classification
dataset: name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 88.699325
verified: no, type: ap
value: 85.27039559917269
verified: no, type: f1
value: 88.65556295032513
verified: no, task: type: Classification
dataset: name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 44.69799999999999
verified: no, type: f1
value: 43.73187348654165
verified: no, task: type: Classification
dataset: name: MTEB AmazonReviewsClassification (de)
type: mteb/amazon_reviews_multi
config: de
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 40.245999999999995
verified: no, type: f1
value: 39.3863530637684
verified: no, task: type: Classification
dataset: name: MTEB AmazonReviewsClassification (es)
type: mteb/amazon_reviews_multi
config: es
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 40.394
verified: no, type: f1
value: 39.301223469483446
verified: no, task: type: Classification
dataset: name: MTEB AmazonReviewsClassification (fr)
type: mteb/amazon_reviews_multi
config: fr
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 38.864
verified: no, type: f1
value: 37.97974261868003
verified: no, task: type: Classification
dataset: name: MTEB AmazonReviewsClassification (ja)
type: mteb/amazon_reviews_multi
config: ja
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 37.682
verified: no, type: f1
value: 37.07399369768313
verified: no, task: type: Classification
dataset: name: MTEB AmazonReviewsClassification (zh)
type: mteb/amazon_reviews_multi
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 37.504
verified: no, type: f1
value: 36.62317273874278
verified: no, task: type: Retrieval
dataset: name: MTEB ArguAna
type: arguana
config: default
split: test
revision: None
metrics: type: map_at_1
value: 19.061
verified: no, type: map_at_10
value: 31.703
verified: no, type: map_at_100
value: 32.967
verified: no, type: map_at_1000
value: 33.001000000000005
verified: no, type: map_at_3
value: 27.466
verified: no, type: map_at_5
value: 29.564
verified: no, type: mrr_at_1
value: 19.559
verified: no, type: mrr_at_10
value: 31.874999999999996
verified: no, type: mrr_at_100
value: 33.146
verified: no, type: mrr_at_1000
value: 33.18
verified: no, type: mrr_at_3
value: 27.667
verified: no, type: mrr_at_5
value: 29.74
verified: no, type: ndcg_at_1
value: 19.061
verified: no, type: ndcg_at_10
value: 39.062999999999995
verified: no, type: ndcg_at_100
value: 45.184000000000005
verified: no, type: ndcg_at_1000
value: 46.115
verified: no, type: ndcg_at_3
value: 30.203000000000003
verified: no, type: ndcg_at_5
value: 33.953
verified: no, type: precision_at_1
value: 19.061
verified: no, type: precision_at_10
value: 6.279999999999999
verified: no, type: precision_at_100
value: 0.9129999999999999
verified: no, type: precision_at_1000
value: 0.099
verified: no, type: precision_at_3
value: 12.706999999999999
verified: no, type: precision_at_5
value: 9.431000000000001
verified: no, type: recall_at_1
value: 19.061
verified: no, type: recall_at_10
value: 62.802
verified: no, type: recall_at_100
value: 91.323
verified: no, type: recall_at_1000
value: 98.72
verified: no, type: recall_at_3
value: 38.122
verified: no, type: recall_at_5
value: 47.155
verified: no, task: type: Clustering
dataset: name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 39.22266660528253
verified: no, task: type: Clustering
dataset: name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 30.79980849482483
verified: no, task: type: Reranking
dataset: name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 57.8790068352054
verified: no, type: mrr
value: 71.78791276436706
verified: no, task: type: STS
dataset: name: MTEB BIOSSES
type: mteb/biosses-sts
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 82.36328364043163
verified: no, type: cos_sim_spearman
value: 82.26211536195868
verified: no, type: euclidean_pearson
value: 80.3183865039173
verified: no, type: euclidean_spearman
value: 79.88495276296132
verified: no, type: manhattan_pearson
value: 80.14484480692127
verified: no, type: manhattan_spearman
value: 80.39279565980743
verified: no, task: type: BitextMining
dataset: name: MTEB BUCC (de-en)
type: mteb/bucc-bitext-mining
config: de-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics: type: accuracy
value: 98.0375782881002
verified: no, type: f1
value: 97.86012526096033
verified: no, type: precision
value: 97.77139874739039
verified: no, type: recall
value: 98.0375782881002
verified: no, task: type: BitextMining
dataset: name: MTEB BUCC (fr-en)
type: mteb/bucc-bitext-mining
config: fr-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics: type: accuracy
value: 93.35241030156286
verified: no, type: f1
value: 92.66050333846944
verified: no, type: precision
value: 92.3306919069631
verified: no, type: recall
value: 93.35241030156286
verified: no, task: type: BitextMining
dataset: name: MTEB BUCC (ru-en)
type: mteb/bucc-bitext-mining
config: ru-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics: type: accuracy
value: 94.0699688257707
verified: no, type: f1
value: 93.50236693222492
verified: no, type: precision
value: 93.22791825424315
verified: no, type: recall
value: 94.0699688257707
verified: no, task: type: BitextMining
dataset: name: MTEB BUCC (zh-en)
type: mteb/bucc-bitext-mining
config: zh-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics: type: accuracy
value: 89.25750394944708
verified: no, type: f1
value: 88.79234684921889
verified: no, type: precision
value: 88.57293312269616
verified: no, type: recall
value: 89.25750394944708
verified: no, task: type: Classification
dataset: name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 79.41558441558442
verified: no, type: f1
value: 79.25886487487219
verified: no, task: type: Clustering
dataset: name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 35.747820820329736
verified: no, task: type: Clustering
dataset: name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics: type: v_measure
value: 27.045143830596146
verified: no, task: type: Retrieval
dataset: name: MTEB CQADupstackRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.252999999999997
verified: no, type: map_at_10
value: 31.655916666666666
verified: no, type: map_at_100
value: 32.680749999999996
verified: no, type: map_at_1000
value: 32.79483333333334
verified: no, type: map_at_3
value: 29.43691666666666
verified: no, type: map_at_5
value: 30.717416666666665
verified: no, type: mrr_at_1
value: 28.602750000000004
verified: no, type: mrr_at_10
value: 35.56875
verified: no, type: mrr_at_100
value: 36.3595
verified: no, type: mrr_at_1000
value: 36.427749999999996
verified: no, type: mrr_at_3
value: 33.586166666666664
verified: no, type: mrr_at_5
value: 34.73641666666666
verified: no, type: ndcg_at_1
value: 28.602750000000004
verified: no, type: ndcg_at_10
value: 36.06933333333334
verified: no, type: ndcg_at_100
value: 40.70141666666667
verified: no, type: ndcg_at_1000
value: 43.24341666666667
verified: no, type: ndcg_at_3
value: 32.307916666666664
verified: no, type: ndcg_at_5
value: 34.129999999999995
verified: no, type: precision_at_1
value: 28.602750000000004
verified: no, type: precision_at_10
value: 6.097666666666667
verified: no, type: precision_at_100
value: 0.9809166666666668
verified: no, type: precision_at_1000
value: 0.13766666666666663
verified: no, type: precision_at_3
value: 14.628166666666667
verified: no, type: precision_at_5
value: 10.266916666666667
verified: no, type: recall_at_1
value: 24.252999999999997
verified: no, type: recall_at_10
value: 45.31916666666667
verified: no, type: recall_at_100
value: 66.03575000000001
verified: no, type: recall_at_1000
value: 83.94708333333334
verified: no, type: recall_at_3
value: 34.71941666666666
verified: no, type: recall_at_5
value: 39.46358333333333
verified: no, task: type: Retrieval
dataset: name: MTEB ClimateFEVER
type: climate-fever
config: default
split: test
revision: None
metrics: type: map_at_1
value: 9.024000000000001
verified: no, type: map_at_10
value: 15.644
verified: no, type: map_at_100
value: 17.154
verified: no, type: map_at_1000
value: 17.345
verified: no, type: map_at_3
value: 13.028
verified: no, type: map_at_5
value: 14.251
verified: no, type: mrr_at_1
value: 19.674
verified: no, type: mrr_at_10
value: 29.826999999999998
verified: no, type: mrr_at_100
value: 30.935000000000002
verified: no, type: mrr_at_1000
value: 30.987
verified: no, type: mrr_at_3
value: 26.645000000000003
verified: no, type: mrr_at_5
value: 28.29
verified: no, type: ndcg_at_1
value: 19.674
verified: no, type: ndcg_at_10
value: 22.545
verified: no, type: ndcg_at_100
value: 29.207
verified: no, type: ndcg_at_1000
value: 32.912
verified: no, type: ndcg_at_3
value: 17.952
verified: no, type: ndcg_at_5
value: 19.363
verified: no, type: precision_at_1
value: 19.674
verified: no, type: precision_at_10
value: 7.212000000000001
verified: no, type: precision_at_100
value: 1.435
verified: no, type: precision_at_1000
value: 0.212
verified: no, type: precision_at_3
value: 13.507
verified: no, type: precision_at_5
value: 10.397
verified: no, type: recall_at_1
value: 9.024000000000001
verified: no, type: recall_at_10
value: 28.077999999999996
verified: no, type: recall_at_100
value: 51.403
verified: no, type: recall_at_1000
value: 72.406
verified: no, type: recall_at_3
value: 16.768
verified: no, type: recall_at_5
value: 20.737
verified: no, task: type: Retrieval
dataset: name: MTEB DBPedia
type: dbpedia-entity
config: default
split: test
revision: None
metrics: type: map_at_1
value: 8.012
verified: no, type: map_at_10
value: 17.138
verified: no, type: map_at_100
value: 24.146
verified: no, type: map_at_1000
value: 25.622
verified: no, type: map_at_3
value: 12.552
verified: no, type: map_at_5
value: 14.435
verified: no, type: mrr_at_1
value: 62.25000000000001
verified: no, type: mrr_at_10
value: 71.186
verified: no, type: mrr_at_100
value: 71.504
verified: no, type: mrr_at_1000
value: 71.514
verified: no, type: mrr_at_3
value: 69.333
verified: no, type: mrr_at_5
value: 70.408
verified: no, type: ndcg_at_1
value: 49.75
verified: no, type: ndcg_at_10
value: 37.76
verified: no, type: ndcg_at_100
value: 42.071
verified: no, type: ndcg_at_1000
value: 49.309
verified: no, type: ndcg_at_3
value: 41.644
verified: no, type: ndcg_at_5
value: 39.812999999999995
verified: no, type: precision_at_1
value: 62.25000000000001
verified: no, type: precision_at_10
value: 30.15
verified: no, type: precision_at_100
value: 9.753
verified: no, type: precision_at_1000
value: 1.9189999999999998
verified: no, type: precision_at_3
value: 45.667
verified: no, type: precision_at_5
value: 39.15
verified: no, type: recall_at_1
value: 8.012
verified: no, type: recall_at_10
value: 22.599
verified: no, type: recall_at_100
value: 48.068
verified: no, type: recall_at_1000
value: 71.328
verified: no, type: recall_at_3
value: 14.043
verified: no, type: recall_at_5
value: 17.124
verified: no, task: type: Classification
dataset: name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 42.455
verified: no, type: f1
value: 37.59462649781862
verified: no, task: type: Retrieval
dataset: name: MTEB FEVER
type: fever
config: default
split: test
revision: None
metrics: type: map_at_1
value: 58.092
verified: no, type: map_at_10
value: 69.586
verified: no, type: map_at_100
value: 69.968
verified: no, type: map_at_1000
value: 69.982
verified: no, type: map_at_3
value: 67.48100000000001
verified: no, type: map_at_5
value: 68.915
verified: no, type: mrr_at_1
value: 62.166
verified: no, type: mrr_at_10
value: 73.588
verified: no, type: mrr_at_100
value: 73.86399999999999
verified: no, type: mrr_at_1000
value: 73.868
verified: no, type: mrr_at_3
value: 71.6
verified: no, type: mrr_at_5
value: 72.99
verified: no, type: ndcg_at_1
value: 62.166
verified: no, type: ndcg_at_10
value: 75.27199999999999
verified: no, type: ndcg_at_100
value: 76.816
verified: no, type: ndcg_at_1000
value: 77.09700000000001
verified: no, type: ndcg_at_3
value: 71.36
verified: no, type: ndcg_at_5
value: 73.785
verified: no, type: precision_at_1
value: 62.166
verified: no, type: precision_at_10
value: 9.716
verified: no, type: precision_at_100
value: 1.065
verified: no, type: precision_at_1000
value: 0.11
verified: no, type: precision_at_3
value: 28.278
verified: no, type: precision_at_5
value: 18.343999999999998
verified: no, type: recall_at_1
value: 58.092
verified: no, type: recall_at_10
value: 88.73400000000001
verified: no, type: recall_at_100
value: 95.195
verified: no, type: recall_at_1000
value: 97.04599999999999
verified: no, type: recall_at_3
value: 78.45
verified: no, type: recall_at_5
value: 84.316
verified: no, task: type: Retrieval
dataset: name: MTEB FiQA2018
type: fiqa
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.649
verified: no, type: map_at_10
value: 26.457000000000004
verified: no, type: map_at_100
value: 28.169
verified: no, type: map_at_1000
value: 28.352
verified: no, type: map_at_3
value: 23.305
verified: no, type: map_at_5
value: 25.169000000000004
verified: no, type: mrr_at_1
value: 32.407000000000004
verified: no, type: mrr_at_10
value: 40.922
verified: no, type: mrr_at_100
value: 41.931000000000004
verified: no, type: mrr_at_1000
value: 41.983
verified: no, type: mrr_at_3
value: 38.786
verified: no, type: mrr_at_5
value: 40.205999999999996
verified: no, type: ndcg_at_1
value: 32.407000000000004
verified: no, type: ndcg_at_10
value: 33.314
verified: no, type: ndcg_at_100
value: 40.312
verified: no, type: ndcg_at_1000
value: 43.685
verified: no, type: ndcg_at_3
value: 30.391000000000002
verified: no, type: ndcg_at_5
value: 31.525
verified: no, type: precision_at_1
value: 32.407000000000004
verified: no, type: precision_at_10
value: 8.966000000000001
verified: no, type: precision_at_100
value: 1.6019999999999999
verified: no, type: precision_at_1000
value: 0.22200000000000003
verified: no, type: precision_at_3
value: 20.165
verified: no, type: precision_at_5
value: 14.722
verified: no, type: recall_at_1
value: 16.649
verified: no, type: recall_at_10
value: 39.117000000000004
verified: no, type: recall_at_100
value: 65.726
verified: no, type: recall_at_1000
value: 85.784
verified: no, type: recall_at_3
value: 27.914
verified: no, type: recall_at_5
value: 33.289
verified: no, task: type: Retrieval
dataset: name: MTEB HotpotQA
type: hotpotqa
config: default
split: test
revision: None
metrics: type: map_at_1
value: 36.253
verified: no, type: map_at_10
value: 56.16799999999999
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verified: no, type: mrr_at_3
value: 48.246
verified: no, type: mrr_at_5
value: 49.546
verified: no, type: ndcg_at_1
value: 40.402
verified: no, type: ndcg_at_10
value: 31.009999999999998
verified: no, type: ndcg_at_100
value: 28.026
verified: no, type: ndcg_at_1000
value: 36.905
verified: no, type: ndcg_at_3
value: 35.983
verified: no, type: ndcg_at_5
value: 33.764
verified: no, type: precision_at_1
value: 42.105
verified: no, type: precision_at_10
value: 22.786
verified: no, type: precision_at_100
value: 6.916
verified: no, type: precision_at_1000
value: 1.981
verified: no, type: precision_at_3
value: 33.333
verified: no, type: precision_at_5
value: 28.731
verified: no, type: recall_at_1
value: 5.353
verified: no, type: recall_at_10
value: 15.039
verified: no, type: recall_at_100
value: 27.348
verified: no, type: recall_at_1000
value: 59.453
verified: no, type: recall_at_3
value: 9.792
verified: no, type: recall_at_5
value: 11.882
verified: no, task: type: Retrieval
dataset: name: MTEB NQ
type: nq
config: default
split: test
revision: None
metrics: type: map_at_1
value: 33.852
verified: no, type: map_at_10
value: 48.924
verified: no, type: map_at_100
value: 49.854
verified: no, type: map_at_1000
value: 49.886
verified: no, type: map_at_3
value: 44.9
verified: no, type: map_at_5
value: 47.387
verified: no, type: mrr_at_1
value: 38.035999999999994
verified: no, type: mrr_at_10
value: 51.644
verified: no, type: mrr_at_100
value: 52.339
verified: no, type: mrr_at_1000
value: 52.35999999999999
verified: no, type: mrr_at_3
value: 48.421
verified: no, type: mrr_at_5
value: 50.468999999999994
verified: no, type: ndcg_at_1
value: 38.007000000000005
verified: no, type: ndcg_at_10
value: 56.293000000000006
verified: no, type: ndcg_at_100
value: 60.167
verified: no, type: ndcg_at_1000
value: 60.916000000000004
verified: no, type: ndcg_at_3
value: 48.903999999999996
verified: no, type: ndcg_at_5
value: 52.978
verified: no, type: precision_at_1
value: 38.007000000000005
verified: no, type: precision_at_10
value: 9.041
verified: no, type: precision_at_100
value: 1.1199999999999999
verified: no, type: precision_at_1000
value: 0.11900000000000001
verified: no, type: precision_at_3
value: 22.084
verified: no, type: precision_at_5
value: 15.608
verified: no, type: recall_at_1
value: 33.852
verified: no, type: recall_at_10
value: 75.893
verified: no, type: recall_at_100
value: 92.589
verified: no, type: recall_at_1000
value: 98.153
verified: no, type: recall_at_3
value: 56.969
verified: no, type: recall_at_5
value: 66.283
verified: no, task: type: Retrieval
dataset: name: MTEB QuoraRetrieval
type: quora
config: default
split: test
revision: None
metrics: type: map_at_1
value: 69.174
verified: no, type: map_at_10
value: 82.891
verified: no, type: map_at_100
value: 83.545
verified: no, type: map_at_1000
value: 83.56700000000001
verified: no, type: map_at_3
value: 79.944
verified: no, type: map_at_5
value: 81.812
verified: no, type: mrr_at_1
value: 79.67999999999999
verified: no, type: mrr_at_10
value: 86.279
verified: no, type: mrr_at_100
value: 86.39
verified: no, type: mrr_at_1000
value: 86.392
verified: no, type: mrr_at_3
value: 85.21
verified: no, type: mrr_at_5
value: 85.92999999999999
verified: no, type: ndcg_at_1
value: 79.69000000000001
verified: no, type: ndcg_at_10
value: 86.929
verified: no, type: ndcg_at_100
value: 88.266
verified: no, type: ndcg_at_1000
value: 88.428
verified: no, type: ndcg_at_3
value: 83.899
verified: no, type: ndcg_at_5
value: 85.56700000000001
verified: no, type: precision_at_1
value: 79.69000000000001
verified: no, type: precision_at_10
value: 13.161000000000001
verified: no, type: precision_at_100
value: 1.513
verified: no, type: precision_at_1000
value: 0.156
verified: no, type: precision_at_3
value: 36.603
verified: no, type: precision_at_5
value: 24.138
verified: no, type: recall_at_1
value: 69.174
verified: no, type: recall_at_10
value: 94.529
verified: no, type: recall_at_100
value: 99.15
verified: no, type: recall_at_1000
value: 99.925
verified: no, type: recall_at_3
value: 85.86200000000001
verified: no, type: recall_at_5
value: 90.501
verified: no, task: type: Clustering
dataset: name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 39.13064340585255
verified: no, task: type: Clustering
dataset: name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics: type: v_measure
value: 58.97884249325877
verified: no, task: type: Retrieval
dataset: name: MTEB SCIDOCS
type: scidocs
config: default
split: test
revision: None
metrics: type: map_at_1
value: 3.4680000000000004
verified: no, type: map_at_10
value: 7.865
verified: no, type: map_at_100
value: 9.332
verified: no, type: map_at_1000
value: 9.587
verified: no, type: map_at_3
value: 5.800000000000001
verified: no, type: map_at_5
value: 6.8790000000000004
verified: no, type: mrr_at_1
value: 17
verified: no, type: mrr_at_10
value: 25.629
verified: no, type: mrr_at_100
value: 26.806
verified: no, type: mrr_at_1000
value: 26.889000000000003
verified: no, type: mrr_at_3
value: 22.8
verified: no, type: mrr_at_5
value: 24.26
verified: no, type: ndcg_at_1
value: 17
verified: no, type: ndcg_at_10
value: 13.895
verified: no, type: ndcg_at_100
value: 20.491999999999997
verified: no, type: ndcg_at_1000
value: 25.759999999999998
verified: no, type: ndcg_at_3
value: 13.347999999999999
verified: no, type: ndcg_at_5
value: 11.61
verified: no, type: precision_at_1
value: 17
verified: no, type: precision_at_10
value: 7.090000000000001
verified: no, type: precision_at_100
value: 1.669
verified: no, type: precision_at_1000
value: 0.294
verified: no, type: precision_at_3
value: 12.3
verified: no, type: precision_at_5
value: 10.02
verified: no, type: recall_at_1
value: 3.4680000000000004
verified: no, type: recall_at_10
value: 14.363000000000001
verified: no, type: recall_at_100
value: 33.875
verified: no, type: recall_at_1000
value: 59.711999999999996
verified: no, type: recall_at_3
value: 7.483
verified: no, type: recall_at_5
value: 10.173
verified: no, task: type: STS
dataset: name: MTEB SICK-R
type: mteb/sickr-sts
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics: type: cos_sim_pearson
value: 83.04084311714061
verified: no, type: cos_sim_spearman
value: 77.51342467443078
verified: no, type: euclidean_pearson
value: 80.0321166028479
verified: no, type: euclidean_spearman
value: 77.29249114733226
verified: no, type: manhattan_pearson
value: 80.03105964262431
verified: no, type: manhattan_spearman
value: 77.22373689514794
verified: no, task: type: STS
dataset: name: MTEB STS12
type: mteb/sts12-sts
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_pearson
value: 84.1680158034387
verified: no, type: cos_sim_spearman
value: 76.55983344071117
verified: no, type: euclidean_pearson
value: 79.75266678300143
verified: no, type: euclidean_spearman
value: 75.34516823467025
verified: no, type: manhattan_pearson
value: 79.75959151517357
verified: no, type: manhattan_spearman
value: 75.42330344141912
verified: no, task: type: STS
dataset: name: MTEB STS13
type: mteb/sts13-sts
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_pearson
value: 76.48898993209346
verified: no, type: cos_sim_spearman
value: 76.96954120323366
verified: no, type: euclidean_pearson
value: 76.94139109279668
verified: no, type: euclidean_spearman
value: 76.85860283201711
verified: no, type: manhattan_pearson
value: 76.6944095091912
verified: no, type: manhattan_spearman
value: 76.61096912972553
verified: no, task: type: STS
dataset: name: MTEB STS14
type: mteb/sts14-sts
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_pearson
value: 77.85082366246944
verified: no, type: cos_sim_spearman
value: 75.52053350101731
verified: no, type: euclidean_pearson
value: 77.1165845070926
verified: no, type: euclidean_spearman
value: 75.31216065884388
verified: no, type: manhattan_pearson
value: 77.06193941833494
verified: no, type: manhattan_spearman
value: 75.31003701700112
verified: no, task: type: STS
dataset: name: MTEB STS15
type: mteb/sts15-sts
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 86.36305246526497
verified: no, type: cos_sim_spearman
value: 87.11704613927415
verified: no, type: euclidean_pearson
value: 86.04199125810939
verified: no, type: euclidean_spearman
value: 86.51117572414263
verified: no, type: manhattan_pearson
value: 86.0805106816633
verified: no, type: manhattan_spearman
value: 86.52798366512229
verified: no, task: type: STS
dataset: name: MTEB STS16
type: mteb/sts16-sts
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_pearson
value: 82.18536255599724
verified: no, type: cos_sim_spearman
value: 83.63377151025418
verified: no, type: euclidean_pearson
value: 83.24657467993141
verified: no, type: euclidean_spearman
value: 84.02751481993825
verified: no, type: manhattan_pearson
value: 83.11941806582371
verified: no, type: manhattan_spearman
value: 83.84251281019304
verified: no, task: type: STS
dataset: name: MTEB STS17 (ko-ko)
type: mteb/sts17-crosslingual-sts
config: ko-ko
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 78.95816528475514
verified: no, type: cos_sim_spearman
value: 78.86607380120462
verified: no, type: euclidean_pearson
value: 78.51268699230545
verified: no, type: euclidean_spearman
value: 79.11649316502229
verified: no, type: manhattan_pearson
value: 78.32367302808157
verified: no, type: manhattan_spearman
value: 78.90277699624637
verified: no, task: type: STS
dataset: name: MTEB STS17 (ar-ar)
type: mteb/sts17-crosslingual-sts
config: ar-ar
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 72.89126914997624
verified: no, type: cos_sim_spearman
value: 73.0296921832678
verified: no, type: euclidean_pearson
value: 71.50385903677738
verified: no, type: euclidean_spearman
value: 73.13368899716289
verified: no, type: manhattan_pearson
value: 71.47421463379519
verified: no, type: manhattan_spearman
value: 73.03383242946575
verified: no, task: type: STS
dataset: name: MTEB STS17 (en-ar)
type: mteb/sts17-crosslingual-sts
config: en-ar
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 59.22923684492637
verified: no, type: cos_sim_spearman
value: 57.41013211368396
verified: no, type: euclidean_pearson
value: 61.21107388080905
verified: no, type: euclidean_spearman
value: 60.07620768697254
verified: no, type: manhattan_pearson
value: 59.60157142786555
verified: no, type: manhattan_spearman
value: 59.14069604103739
verified: no, task: type: STS
dataset: name: MTEB STS17 (en-de)
type: mteb/sts17-crosslingual-sts
config: en-de
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 76.24345978774299
verified: no, type: cos_sim_spearman
value: 77.24225743830719
verified: no, type: euclidean_pearson
value: 76.66226095469165
verified: no, type: euclidean_spearman
value: 77.60708820493146
verified: no, type: manhattan_pearson
value: 76.05303324760429
verified: no, type: manhattan_spearman
value: 76.96353149912348
verified: no, task: type: STS
dataset: name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 85.50879160160852
verified: no, type: cos_sim_spearman
value: 86.43594662965224
verified: no, type: euclidean_pearson
value: 86.06846012826577
verified: no, type: euclidean_spearman
value: 86.02041395794136
verified: no, type: manhattan_pearson
value: 86.10916255616904
verified: no, type: manhattan_spearman
value: 86.07346068198953
verified: no, task: type: STS
dataset: name: MTEB STS17 (en-tr)
type: mteb/sts17-crosslingual-sts
config: en-tr
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 58.39803698977196
verified: no, type: cos_sim_spearman
value: 55.96910950423142
verified: no, type: euclidean_pearson
value: 58.17941175613059
verified: no, type: euclidean_spearman
value: 55.03019330522745
verified: no, type: manhattan_pearson
value: 57.333358138183286
verified: no, type: manhattan_spearman
value: 54.04614023149965
verified: no, task: type: STS
dataset: name: MTEB STS17 (es-en)
type: mteb/sts17-crosslingual-sts
config: es-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 70.98304089637197
verified: no, type: cos_sim_spearman
value: 72.44071656215888
verified: no, type: euclidean_pearson
value: 72.19224359033983
verified: no, type: euclidean_spearman
value: 73.89871188913025
verified: no, type: manhattan_pearson
value: 71.21098311547406
verified: no, type: manhattan_spearman
value: 72.93405764824821
verified: no, task: type: STS
dataset: name: MTEB STS17 (es-es)
type: mteb/sts17-crosslingual-sts
config: es-es
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 85.99792397466308
verified: no, type: cos_sim_spearman
value: 84.83824377879495
verified: no, type: euclidean_pearson
value: 85.70043288694438
verified: no, type: euclidean_spearman
value: 84.70627558703686
verified: no, type: manhattan_pearson
value: 85.89570850150801
verified: no, type: manhattan_spearman
value: 84.95806105313007
verified: no, task: type: STS
dataset: name: MTEB STS17 (fr-en)
type: mteb/sts17-crosslingual-sts
config: fr-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 72.21850322994712
verified: no, type: cos_sim_spearman
value: 72.28669398117248
verified: no, type: euclidean_pearson
value: 73.40082510412948
verified: no, type: euclidean_spearman
value: 73.0326539281865
verified: no, type: manhattan_pearson
value: 71.8659633964841
verified: no, type: manhattan_spearman
value: 71.57817425823303
verified: no, task: type: STS
dataset: name: MTEB STS17 (it-en)
type: mteb/sts17-crosslingual-sts
config: it-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 75.80921368595645
verified: no, type: cos_sim_spearman
value: 77.33209091229315
verified: no, type: euclidean_pearson
value: 76.53159540154829
verified: no, type: euclidean_spearman
value: 78.17960842810093
verified: no, type: manhattan_pearson
value: 76.13530186637601
verified: no, type: manhattan_spearman
value: 78.00701437666875
verified: no, task: type: STS
dataset: name: MTEB STS17 (nl-en)
type: mteb/sts17-crosslingual-sts
config: nl-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 74.74980608267349
verified: no, type: cos_sim_spearman
value: 75.37597374318821
verified: no, type: euclidean_pearson
value: 74.90506081911661
verified: no, type: euclidean_spearman
value: 75.30151613124521
verified: no, type: manhattan_pearson
value: 74.62642745918002
verified: no, type: manhattan_spearman
value: 75.18619716592303
verified: no, task: type: STS
dataset: name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 59.632662289205584
verified: no, type: cos_sim_spearman
value: 60.938543391610914
verified: no, type: euclidean_pearson
value: 62.113200529767056
verified: no, type: euclidean_spearman
value: 61.410312633261164
verified: no, type: manhattan_pearson
value: 61.75494698945686
verified: no, type: manhattan_spearman
value: 60.92726195322362
verified: no, task: type: STS
dataset: name: MTEB STS22 (de)
type: mteb/sts22-crosslingual-sts
config: de
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 45.283470551557244
verified: no, type: cos_sim_spearman
value: 53.44833015864201
verified: no, type: euclidean_pearson
value: 41.17892011120893
verified: no, type: euclidean_spearman
value: 53.81441383126767
verified: no, type: manhattan_pearson
value: 41.17482200420659
verified: no, type: manhattan_spearman
value: 53.82180269276363
verified: no, task: type: STS
dataset: name: MTEB STS22 (es)
type: mteb/sts22-crosslingual-sts
config: es
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 60.5069165306236
verified: no, type: cos_sim_spearman
value: 66.87803259033826
verified: no, type: euclidean_pearson
value: 63.5428979418236
verified: no, type: euclidean_spearman
value: 66.9293576586897
verified: no, type: manhattan_pearson
value: 63.59789526178922
verified: no, type: manhattan_spearman
value: 66.86555009875066
verified: no, task: type: STS
dataset: name: MTEB STS22 (pl)
type: mteb/sts22-crosslingual-sts
config: pl
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 28.23026196280264
verified: no, type: cos_sim_spearman
value: 35.79397812652861
verified: no, type: euclidean_pearson
value: 17.828102102767353
verified: no, type: euclidean_spearman
value: 35.721501145568894
verified: no, type: manhattan_pearson
value: 17.77134274219677
verified: no, type: manhattan_spearman
value: 35.98107902846267
verified: no, task: type: STS
dataset: name: MTEB STS22 (tr)
type: mteb/sts22-crosslingual-sts
config: tr
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 56.51946541393812
verified: no, type: cos_sim_spearman
value: 63.714686006214485
verified: no, type: euclidean_pearson
value: 58.32104651305898
verified: no, type: euclidean_spearman
value: 62.237110895702216
verified: no, type: manhattan_pearson
value: 58.579416468759185
verified: no, type: manhattan_spearman
value: 62.459738981727
verified: no, task: type: STS
dataset: name: MTEB STS22 (ar)
type: mteb/sts22-crosslingual-sts
config: ar
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 48.76009839569795
verified: no, type: cos_sim_spearman
value: 56.65188431953149
verified: no, type: euclidean_pearson
value: 50.997682160915595
verified: no, type: euclidean_spearman
value: 55.99910008818135
verified: no, type: manhattan_pearson
value: 50.76220659606342
verified: no, type: manhattan_spearman
value: 55.517347595391456
verified: no, task: type: STS
dataset: name: MTEB STS22 (ru)
type: mteb/sts22-crosslingual-sts
config: ru
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 51.232731157702425
verified: no, type: cos_sim_spearman
value: 59.89531877658345
verified: no, type: euclidean_pearson
value: 49.937914570348376
verified: no, type: euclidean_spearman
value: 60.220905659334036
verified: no, type: manhattan_pearson
value: 50.00987996844193
verified: no, type: manhattan_spearman
value: 60.081341480977926
verified: no, task: type: STS
dataset: name: MTEB STS22 (zh)
type: mteb/sts22-crosslingual-sts
config: zh
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 54.717524559088005
verified: no, type: cos_sim_spearman
value: 66.83570886252286
verified: no, type: euclidean_pearson
value: 58.41338625505467
verified: no, type: euclidean_spearman
value: 66.68991427704938
verified: no, type: manhattan_pearson
value: 58.78638572916807
verified: no, type: manhattan_spearman
value: 66.58684161046335
verified: no, task: type: STS
dataset: name: MTEB STS22 (fr)
type: mteb/sts22-crosslingual-sts
config: fr
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 73.2962042954962
verified: no, type: cos_sim_spearman
value: 76.58255504852025
verified: no, type: euclidean_pearson
value: 75.70983192778257
verified: no, type: euclidean_spearman
value: 77.4547684870542
verified: no, type: manhattan_pearson
value: 75.75565853870485
verified: no, type: manhattan_spearman
value: 76.90208974949428
verified: no, task: type: STS
dataset: name: MTEB STS22 (de-en)
type: mteb/sts22-crosslingual-sts
config: de-en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 54.47396266924846
verified: no, type: cos_sim_spearman
value: 56.492267162048606
verified: no, type: euclidean_pearson
value: 55.998505203070195
verified: no, type: euclidean_spearman
value: 56.46447012960222
verified: no, type: manhattan_pearson
value: 54.873172394430995
verified: no, type: manhattan_spearman
value: 56.58111534551218
verified: no, task: type: STS
dataset: name: MTEB STS22 (es-en)
type: mteb/sts22-crosslingual-sts
config: es-en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 69.87177267688686
verified: no, type: cos_sim_spearman
value: 74.57160943395763
verified: no, type: euclidean_pearson
value: 70.88330406826788
verified: no, type: euclidean_spearman
value: 74.29767636038422
verified: no, type: manhattan_pearson
value: 71.38245248369536
verified: no, type: manhattan_spearman
value: 74.53102232732175
verified: no, task: type: STS
dataset: name: MTEB STS22 (it)
type: mteb/sts22-crosslingual-sts
config: it
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 72.80225656959544
verified: no, type: cos_sim_spearman
value: 76.52646173725735
verified: no, type: euclidean_pearson
value: 73.95710720200799
verified: no, type: euclidean_spearman
value: 76.54040031984111
verified: no, type: manhattan_pearson
value: 73.89679971946774
verified: no, type: manhattan_spearman
value: 76.60886958161574
verified: no, task: type: STS
dataset: name: MTEB STS22 (pl-en)
type: mteb/sts22-crosslingual-sts
config: pl-en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 70.70844249898789
verified: no, type: cos_sim_spearman
value: 72.68571783670241
verified: no, type: euclidean_pearson
value: 72.38800772441031
verified: no, type: euclidean_spearman
value: 72.86804422703312
verified: no, type: manhattan_pearson
value: 71.29840508203515
verified: no, type: manhattan_spearman
value: 71.86264441749513
verified: no, task: type: STS
dataset: name: MTEB STS22 (zh-en)
type: mteb/sts22-crosslingual-sts
config: zh-en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 58.647478923935694
verified: no, type: cos_sim_spearman
value: 63.74453623540931
verified: no, type: euclidean_pearson
value: 59.60138032437505
verified: no, type: euclidean_spearman
value: 63.947930832166065
verified: no, type: manhattan_pearson
value: 58.59735509491861
verified: no, type: manhattan_spearman
value: 62.082503844627404
verified: no, task: type: STS
dataset: name: MTEB STS22 (es-it)
type: mteb/sts22-crosslingual-sts
config: es-it
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 65.8722516867162
verified: no, type: cos_sim_spearman
value: 71.81208592523012
verified: no, type: euclidean_pearson
value: 67.95315252165956
verified: no, type: euclidean_spearman
value: 73.00749822046009
verified: no, type: manhattan_pearson
value: 68.07884688638924
verified: no, type: manhattan_spearman
value: 72.34210325803069
verified: no, task: type: STS
dataset: name: MTEB STS22 (de-fr)
type: mteb/sts22-crosslingual-sts
config: de-fr
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 54.5405814240949
verified: no, type: cos_sim_spearman
value: 60.56838649023775
verified: no, type: euclidean_pearson
value: 53.011731611314104
verified: no, type: euclidean_spearman
value: 58.533194841668426
verified: no, type: manhattan_pearson
value: 53.623067729338494
verified: no, type: manhattan_spearman
value: 58.018756154446926
verified: no, task: type: STS
dataset: name: MTEB STS22 (de-pl)
type: mteb/sts22-crosslingual-sts
config: de-pl
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 13.611046866216112
verified: no, type: cos_sim_spearman
value: 28.238192909158492
verified: no, type: euclidean_pearson
value: 22.16189199885129
verified: no, type: euclidean_spearman
value: 35.012895679076564
verified: no, type: manhattan_pearson
value: 21.969771178698387
verified: no, type: manhattan_spearman
value: 32.456985088607475
verified: no, task: type: STS
dataset: name: MTEB STS22 (fr-pl)
type: mteb/sts22-crosslingual-sts
config: fr-pl
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 74.58077407011655
verified: no, type: cos_sim_spearman
value: 84.51542547285167
verified: no, type: euclidean_pearson
value: 74.64613843596234
verified: no, type: euclidean_spearman
value: 84.51542547285167
verified: no, type: manhattan_pearson
value: 75.15335973101396
verified: no, type: manhattan_spearman
value: 84.51542547285167
verified: no, task: type: STS
dataset: name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 82.0739825531578
verified: no, type: cos_sim_spearman
value: 84.01057479311115
verified: no, type: euclidean_pearson
value: 83.85453227433344
verified: no, type: euclidean_spearman
value: 84.01630226898655
verified: no, type: manhattan_pearson
value: 83.75323603028978
verified: no, type: manhattan_spearman
value: 83.89677983727685
verified: no, task: type: Reranking
dataset: name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 78.12945623123957
verified: no, type: mrr
value: 93.87738713719106
verified: no, task: type: Retrieval
dataset: name: MTEB SciFact
type: scifact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 52.983000000000004
verified: no, type: map_at_10
value: 62.946000000000005
verified: no, type: map_at_100
value: 63.514
verified: no, type: map_at_1000
value: 63.554
verified: no, type: map_at_3
value: 60.183
verified: no, type: map_at_5
value: 61.672000000000004
verified: no, type: mrr_at_1
value: 55.667
verified: no, type: mrr_at_10
value: 64.522
verified: no, type: mrr_at_100
value: 64.957
verified: no, type: mrr_at_1000
value: 64.995
verified: no, type: mrr_at_3
value: 62.388999999999996
verified: no, type: mrr_at_5
value: 63.639
verified: no, type: ndcg_at_1
value: 55.667
verified: no, type: ndcg_at_10
value: 67.704
verified: no, type: ndcg_at_100
value: 70.299
verified: no, type: ndcg_at_1000
value: 71.241
verified: no, type: ndcg_at_3
value: 62.866
verified: no, type: ndcg_at_5
value: 65.16999999999999
verified: no, type: precision_at_1
value: 55.667
verified: no, type: precision_at_10
value: 9.033
verified: no, type: precision_at_100
value: 1.053
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 24.444
verified: no, type: precision_at_5
value: 16.133
verified: no, type: recall_at_1
value: 52.983000000000004
verified: no, type: recall_at_10
value: 80.656
verified: no, type: recall_at_100
value: 92.5
verified: no, type: recall_at_1000
value: 99.667
verified: no, type: recall_at_3
value: 67.744
verified: no, type: recall_at_5
value: 73.433
verified: no, task: type: PairClassification
dataset: name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics: type: cos_sim_accuracy
value: 99.72772277227723
verified: no, type: cos_sim_ap
value: 92.17845897992215
verified: no, type: cos_sim_f1
value: 85.9746835443038
verified: no, type: cos_sim_precision
value: 87.07692307692308
verified: no, type: cos_sim_recall
value: 84.89999999999999
verified: no, type: dot_accuracy
value: 99.3039603960396
verified: no, type: dot_ap
value: 60.70244020124878
verified: no, type: dot_f1
value: 59.92742353551063
verified: no, type: dot_precision
value: 62.21743810548978
verified: no, type: dot_recall
value: 57.8
verified: no, type: euclidean_accuracy
value: 99.71683168316832
verified: no, type: euclidean_ap
value: 91.53997039964659
verified: no, type: euclidean_f1
value: 84.88372093023257
verified: no, type: euclidean_precision
value: 90.02242152466367
verified: no, type: euclidean_recall
value: 80.30000000000001
verified: no, type: manhattan_accuracy
value: 99.72376237623763
verified: no, type: manhattan_ap
value: 91.80756777790289
verified: no, type: manhattan_f1
value: 85.48468106479157
verified: no, type: manhattan_precision
value: 85.8728557013118
verified: no, type: manhattan_recall
value: 85.1
verified: no, type: max_accuracy
value: 99.72772277227723
verified: no, type: max_ap
value: 92.17845897992215
verified: no, type: max_f1
value: 85.9746835443038
verified: no, task: type: Clustering
dataset: name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 53.52464042600003
verified: no, task: type: Clustering
dataset: name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 32.071631948736
verified: no, task: type: Reranking
dataset: name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 49.19552407604654
verified: no, type: mrr
value: 49.95269130379425
verified: no, task: type: Summarization
dataset: name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 29.345293033095427
verified: no, type: cos_sim_spearman
value: 29.976931423258403
verified: no, type: dot_pearson
value: 27.047078008958408
verified: no, type: dot_spearman
value: 27.75894368380218
verified: no, task: type: Retrieval
dataset: name: MTEB TRECCOVID
type: trec-covid
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.22
verified: no, type: map_at_10
value: 1.706
verified: no, type: map_at_100
value: 9.634
verified: no, type: map_at_1000
value: 23.665
verified: no, type: map_at_3
value: 0.5950000000000001
verified: no, type: map_at_5
value: 0.95
verified: no, type: mrr_at_1
value: 86
verified: no, type: mrr_at_10
value: 91.8
verified: no, type: mrr_at_100
value: 91.8
verified: no, type: mrr_at_1000
value: 91.8
verified: no, type: mrr_at_3
value: 91
verified: no, type: mrr_at_5
value: 91.8
verified: no, type: ndcg_at_1
value: 80
verified: no, type: ndcg_at_10
value: 72.573
verified: no, type: ndcg_at_100
value: 53.954
verified: no, type: ndcg_at_1000
value: 47.760999999999996
verified: no, type: ndcg_at_3
value: 76.173
verified: no, type: ndcg_at_5
value: 75.264
verified: no, type: precision_at_1
value: 86
verified: no, type: precision_at_10
value: 76.4
verified: no, type: precision_at_100
value: 55.50000000000001
verified: no, type: precision_at_1000
value: 21.802
verified: no, type: precision_at_3
value: 81.333
verified: no, type: precision_at_5
value: 80.4
verified: no, type: recall_at_1
value: 0.22
verified: no, type: recall_at_10
value: 1.925
verified: no, type: recall_at_100
value: 12.762
verified: no, type: recall_at_1000
value: 44.946000000000005
verified: no, type: recall_at_3
value: 0.634
verified: no, type: recall_at_5
value: 1.051
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (sqi-eng)
type: mteb/tatoeba-bitext-mining
config: sqi-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91
verified: no, type: f1
value: 88.55666666666666
verified: no, type: precision
value: 87.46166666666667
verified: no, type: recall
value: 91
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (fry-eng)
type: mteb/tatoeba-bitext-mining
config: fry-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 57.22543352601156
verified: no, type: f1
value: 51.03220478943021
verified: no, type: precision
value: 48.8150289017341
verified: no, type: recall
value: 57.22543352601156
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (kur-eng)
type: mteb/tatoeba-bitext-mining
config: kur-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 46.58536585365854
verified: no, type: f1
value: 39.66870798578116
verified: no, type: precision
value: 37.416085946573745
verified: no, type: recall
value: 46.58536585365854
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (tur-eng)
type: mteb/tatoeba-bitext-mining
config: tur-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 89.7
verified: no, type: f1
value: 86.77999999999999
verified: no, type: precision
value: 85.45333333333332
verified: no, type: recall
value: 89.7
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (deu-eng)
type: mteb/tatoeba-bitext-mining
config: deu-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.39999999999999
verified: no, type: f1
value: 96.58333333333331
verified: no, type: precision
value: 96.2
verified: no, type: recall
value: 97.39999999999999
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (nld-eng)
type: mteb/tatoeba-bitext-mining
config: nld-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 92.4
verified: no, type: f1
value: 90.3
verified: no, type: precision
value: 89.31666666666668
verified: no, type: recall
value: 92.4
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ron-eng)
type: mteb/tatoeba-bitext-mining
config: ron-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 86.9
verified: no, type: f1
value: 83.67190476190476
verified: no, type: precision
value: 82.23333333333332
verified: no, type: recall
value: 86.9
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ang-eng)
type: mteb/tatoeba-bitext-mining
config: ang-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 50
verified: no, type: f1
value: 42.23229092632078
verified: no, type: precision
value: 39.851634683724235
verified: no, type: recall
value: 50
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ido-eng)
type: mteb/tatoeba-bitext-mining
config: ido-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 76.3
verified: no, type: f1
value: 70.86190476190477
verified: no, type: precision
value: 68.68777777777777
verified: no, type: recall
value: 76.3
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (jav-eng)
type: mteb/tatoeba-bitext-mining
config: jav-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 57.073170731707314
verified: no, type: f1
value: 50.658958927251604
verified: no, type: precision
value: 48.26480836236933
verified: no, type: recall
value: 57.073170731707314
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (isl-eng)
type: mteb/tatoeba-bitext-mining
config: isl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 68.2
verified: no, type: f1
value: 62.156507936507936
verified: no, type: precision
value: 59.84964285714286
verified: no, type: recall
value: 68.2
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (slv-eng)
type: mteb/tatoeba-bitext-mining
config: slv-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 77.52126366950182
verified: no, type: f1
value: 72.8496210148701
verified: no, type: precision
value: 70.92171498003819
verified: no, type: recall
value: 77.52126366950182
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (cym-eng)
type: mteb/tatoeba-bitext-mining
config: cym-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 70.78260869565217
verified: no, type: f1
value: 65.32422360248447
verified: no, type: precision
value: 63.063067367415194
verified: no, type: recall
value: 70.78260869565217
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (kaz-eng)
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dataset: name: MTEB Tatoeba (tha-eng)
type: mteb/tatoeba-bitext-mining
config: tha-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91.78832116788321
verified: no, type: f1
value: 89.3552311435523
verified: no, type: precision
value: 88.20559610705597
verified: no, type: recall
value: 91.78832116788321
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (wuu-eng)
type: mteb/tatoeba-bitext-mining
config: wuu-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 74.3
verified: no, type: f1
value: 69.05085581085581
verified: no, type: precision
value: 66.955
verified: no, type: recall
value: 74.3
verified: no, task: type: Retrieval
dataset: name: MTEB Touche2020
type: webis-touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.896
verified: no, type: map_at_10
value: 8.993
verified: no, type: map_at_100
value: 14.133999999999999
verified: no, type: map_at_1000
value: 15.668000000000001
verified: no, type: map_at_3
value: 5.862
verified: no, type: map_at_5
value: 7.17
verified: no, type: mrr_at_1
value: 34.694
verified: no, type: mrr_at_10
value: 42.931000000000004
verified: no, type: mrr_at_100
value: 44.81
verified: no, type: mrr_at_1000
value: 44.81
verified: no, type: mrr_at_3
value: 38.435
verified: no, type: mrr_at_5
value: 41.701
verified: no, type: ndcg_at_1
value: 31.633
verified: no, type: ndcg_at_10
value: 21.163
verified: no, type: ndcg_at_100
value: 33.306000000000004
verified: no, type: ndcg_at_1000
value: 45.275999999999996
verified: no, type: ndcg_at_3
value: 25.685999999999996
verified: no, type: ndcg_at_5
value: 23.732
verified: no, type: precision_at_1
value: 34.694
verified: no, type: precision_at_10
value: 17.755000000000003
verified: no, type: precision_at_100
value: 6.938999999999999
verified: no, type: precision_at_1000
value: 1.48
verified: no, type: precision_at_3
value: 25.85
verified: no, type: precision_at_5
value: 23.265
verified: no, type: recall_at_1
value: 2.896
verified: no, type: recall_at_10
value: 13.333999999999998
verified: no, type: recall_at_100
value: 43.517
verified: no, type: recall_at_1000
value: 79.836
verified: no, type: recall_at_3
value: 6.306000000000001
verified: no, type: recall_at_5
value: 8.825
verified: no, task: type: Classification
dataset: name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 69.3874
verified: no, type: ap
value: 13.829909072469423
verified: no, type: f1
value: 53.54534203543492
verified: no, task: type: Classification
dataset: name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 62.62026032823995
verified: no, type: f1
value: 62.85251350485221
verified: no, task: type: Clustering
dataset: name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 33.21527881409797
verified: no, task: type: PairClassification
dataset: name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics: type: cos_sim_accuracy
value: 84.97943613280086
verified: no, type: cos_sim_ap
value: 70.75454316885921
verified: no, type: cos_sim_f1
value: 65.38274012676743
verified: no, type: cos_sim_precision
value: 60.761214318078835
verified: no, type: cos_sim_recall
value: 70.76517150395777
verified: no, type: dot_accuracy
value: 79.0546581629612
verified: no, type: dot_ap
value: 47.3197121792147
verified: no, type: dot_f1
value: 49.20106524633821
verified: no, type: dot_precision
value: 42.45499808502489
verified: no, type: dot_recall
value: 58.49604221635884
verified: no, type: euclidean_accuracy
value: 85.08076533349228
verified: no, type: euclidean_ap
value: 70.95016106374474
verified: no, type: euclidean_f1
value: 65.43987900176455
verified: no, type: euclidean_precision
value: 62.64478764478765
verified: no, type: euclidean_recall
value: 68.49604221635884
verified: no, type: manhattan_accuracy
value: 84.93771234428085
verified: no, type: manhattan_ap
value: 70.63668388755362
verified: no, type: manhattan_f1
value: 65.23895401262398
verified: no, type: manhattan_precision
value: 56.946084218811485
verified: no, type: manhattan_recall
value: 76.35883905013192
verified: no, type: max_accuracy
value: 85.08076533349228
verified: no, type: max_ap
value: 70.95016106374474
verified: no, type: max_f1
value: 65.43987900176455
verified: no, task: type: PairClassification
dataset: name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 88.69096130709822
verified: no, type: cos_sim_ap
value: 84.82526278228542
verified: no, type: cos_sim_f1
value: 77.65485060585536
verified: no, type: cos_sim_precision
value: 75.94582658619167
verified: no, type: cos_sim_recall
value: 79.44256236526024
verified: no, type: dot_accuracy
value: 80.97954748321496
verified: no, type: dot_ap
value: 64.81642914145866
verified: no, type: dot_f1
value: 60.631996987229975
verified: no, type: dot_precision
value: 54.5897293631712
verified: no, type: dot_recall
value: 68.17831844779796
verified: no, type: euclidean_accuracy
value: 88.6987231730508
verified: no, type: euclidean_ap
value: 84.80003825477253
verified: no, type: euclidean_f1
value: 77.67194179854496
verified: no, type: euclidean_precision
value: 75.7128235122094
verified: no, type: euclidean_recall
value: 79.73514012935017
verified: no, type: manhattan_accuracy
value: 88.62692591298949
verified: no, type: manhattan_ap
value: 84.80451408255276
verified: no, type: manhattan_f1
value: 77.69888949572183
verified: no, type: manhattan_precision
value: 73.70311528631622
verified: no, type: manhattan_recall
value: 82.15275639051433
verified: no, type: max_accuracy
value: 88.6987231730508
verified: no, type: max_ap
value: 84.82526278228542
verified: no, type: max_f1
value: 77.69888949572183
verified: no
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Created: 2024-01-11 13:55:33