Model: vectoriseai/e5-base
Author: vectoriseai
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, onnx, safetensors, bert, mteb, Sentence Transformers, sentence-similarity, en, arxiv:2212.03533, arxiv:2104.08663, arxiv:2210.07316, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: tags: mteb, Sentence Transformers, sentence-similarity, sentence-transformers
model-index: name: e5-base
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 79.71641791044777
verified: no, type: ap
value: 44.15426065428253
verified: no, type: f1
value: 73.89474407693241
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 87.9649
verified: no, type: ap
value: 84.10171551915973
verified: no, type: f1
value: 87.94148377827356
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 42.645999999999994
verified: no, type: f1
value: 42.230574673549
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.814
verified: no, type: map_at_10
value: 42.681999999999995
verified: no, type: map_at_100
value: 43.714
verified: no, type: map_at_1000
value: 43.724000000000004
verified: no, type: map_at_3
value: 38.11
verified: no, type: map_at_5
value: 40.666999999999994
verified: no, type: mrr_at_1
value: 27.168999999999997
verified: no, type: mrr_at_10
value: 42.84
verified: no, type: mrr_at_100
value: 43.864
verified: no, type: mrr_at_1000
value: 43.875
verified: no, type: mrr_at_3
value: 38.193
verified: no, type: mrr_at_5
value: 40.793
verified: no, type: ndcg_at_1
value: 26.814
verified: no, type: ndcg_at_10
value: 51.410999999999994
verified: no, type: ndcg_at_100
value: 55.713
verified: no, type: ndcg_at_1000
value: 55.957
verified: no, type: ndcg_at_3
value: 41.955
verified: no, type: ndcg_at_5
value: 46.558
verified: no, type: precision_at_1
value: 26.814
verified: no, type: precision_at_10
value: 7.922999999999999
verified: no, type: precision_at_100
value: 0.9780000000000001
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 17.71
verified: no, type: precision_at_5
value: 12.859000000000002
verified: no, type: recall_at_1
value: 26.814
verified: no, type: recall_at_10
value: 79.232
verified: no, type: recall_at_100
value: 97.795
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 53.129000000000005
verified: no, type: recall_at_5
value: 64.29599999999999
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 44.56933066536439
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 40.47647746165173
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 59.65675531567043
verified: no, type: mrr
value: 72.95255683067317
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 85.83147014162338
verified: no, type: cos_sim_spearman
value: 85.1031439521441
verified: no, type: euclidean_pearson
value: 83.53609085510973
verified: no, type: euclidean_spearman
value: 84.59650590202833
verified: no, type: manhattan_pearson
value: 83.14611947586386
verified: no, type: manhattan_spearman
value: 84.13384475757064
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 83.32792207792208
verified: no, type: f1
value: 83.32037485050513
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 36.18605446588703
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics: type: v_measure
value: 32.72379130181917
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.659
verified: no, type: map_at_10
value: 40.333999999999996
verified: no, type: map_at_100
value: 41.763
verified: no, type: map_at_1000
value: 41.894
verified: no, type: map_at_3
value: 37.561
verified: no, type: map_at_5
value: 39.084
verified: no, type: mrr_at_1
value: 37.482
verified: no, type: mrr_at_10
value: 45.736
verified: no, type: mrr_at_100
value: 46.591
verified: no, type: mrr_at_1000
value: 46.644999999999996
verified: no, type: mrr_at_3
value: 43.491
verified: no, type: mrr_at_5
value: 44.75
verified: no, type: ndcg_at_1
value: 37.482
verified: no, type: ndcg_at_10
value: 45.606
verified: no, type: ndcg_at_100
value: 51.172
verified: no, type: ndcg_at_1000
value: 53.407000000000004
verified: no, type: ndcg_at_3
value: 41.808
verified: no, type: ndcg_at_5
value: 43.449
verified: no, type: precision_at_1
value: 37.482
verified: no, type: precision_at_10
value: 8.254999999999999
verified: no, type: precision_at_100
value: 1.3719999999999999
verified: no, type: precision_at_1000
value: 0.186
verified: no, type: precision_at_3
value: 19.695
verified: no, type: precision_at_5
value: 13.847999999999999
verified: no, type: recall_at_1
value: 30.659
verified: no, type: recall_at_10
value: 55.409
verified: no, type: recall_at_100
value: 78.687
verified: no, type: recall_at_1000
value: 93.068
verified: no, type: recall_at_3
value: 43.891999999999996
verified: no, type: recall_at_5
value: 48.678
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.977
verified: no, type: map_at_10
value: 40.296
verified: no, type: map_at_100
value: 41.453
verified: no, type: map_at_1000
value: 41.581
verified: no, type: map_at_3
value: 37.619
verified: no, type: map_at_5
value: 39.181
verified: no, type: mrr_at_1
value: 39.108
verified: no, type: mrr_at_10
value: 46.894000000000005
verified: no, type: mrr_at_100
value: 47.55
verified: no, type: mrr_at_1000
value: 47.598
verified: no, type: mrr_at_3
value: 44.766
verified: no, type: mrr_at_5
value: 46.062999999999995
verified: no, type: ndcg_at_1
value: 39.108
verified: no, type: ndcg_at_10
value: 45.717
verified: no, type: ndcg_at_100
value: 49.941
verified: no, type: ndcg_at_1000
value: 52.138
verified: no, type: ndcg_at_3
value: 42.05
verified: no, type: ndcg_at_5
value: 43.893
verified: no, type: precision_at_1
value: 39.108
verified: no, type: precision_at_10
value: 8.306
verified: no, type: precision_at_100
value: 1.3419999999999999
verified: no, type: precision_at_1000
value: 0.184
verified: no, type: precision_at_3
value: 19.979
verified: no, type: precision_at_5
value: 14.038
verified: no, type: recall_at_1
value: 30.977
verified: no, type: recall_at_10
value: 54.688
verified: no, type: recall_at_100
value: 72.556
verified: no, type: recall_at_1000
value: 86.53800000000001
verified: no, type: recall_at_3
value: 43.388
verified: no, type: recall_at_5
value: 48.717
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 39.812
verified: no, type: map_at_10
value: 50.1
verified: no, type: map_at_100
value: 51.193999999999996
verified: no, type: map_at_1000
value: 51.258
verified: no, type: map_at_3
value: 47.510999999999996
verified: no, type: map_at_5
value: 48.891
verified: no, type: mrr_at_1
value: 45.266
verified: no, type: mrr_at_10
value: 53.459999999999994
verified: no, type: mrr_at_100
value: 54.19199999999999
verified: no, type: mrr_at_1000
value: 54.228
verified: no, type: mrr_at_3
value: 51.296
verified: no, type: mrr_at_5
value: 52.495999999999995
verified: no, type: ndcg_at_1
value: 45.266
verified: no, type: ndcg_at_10
value: 55.034000000000006
verified: no, type: ndcg_at_100
value: 59.458
verified: no, type: ndcg_at_1000
value: 60.862
verified: no, type: ndcg_at_3
value: 50.52799999999999
verified: no, type: ndcg_at_5
value: 52.564
verified: no, type: precision_at_1
value: 45.266
verified: no, type: precision_at_10
value: 8.483
verified: no, type: precision_at_100
value: 1.162
verified: no, type: precision_at_1000
value: 0.133
verified: no, type: precision_at_3
value: 21.944
verified: no, type: precision_at_5
value: 14.721
verified: no, type: recall_at_1
value: 39.812
verified: no, type: recall_at_10
value: 66.36
verified: no, type: recall_at_100
value: 85.392
verified: no, type: recall_at_1000
value: 95.523
verified: no, type: recall_at_3
value: 54.127
verified: no, type: recall_at_5
value: 59.245000000000005
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.186
verified: no, type: map_at_10
value: 33.18
verified: no, type: map_at_100
value: 34.052
verified: no, type: map_at_1000
value: 34.149
verified: no, type: map_at_3
value: 31.029
verified: no, type: map_at_5
value: 32.321
verified: no, type: mrr_at_1
value: 28.136
verified: no, type: mrr_at_10
value: 35.195
verified: no, type: mrr_at_100
value: 35.996
verified: no, type: mrr_at_1000
value: 36.076
verified: no, type: mrr_at_3
value: 33.051
verified: no, type: mrr_at_5
value: 34.407
verified: no, type: ndcg_at_1
value: 28.136
verified: no, type: ndcg_at_10
value: 37.275999999999996
verified: no, type: ndcg_at_100
value: 41.935
verified: no, type: ndcg_at_1000
value: 44.389
verified: no, type: ndcg_at_3
value: 33.059
verified: no, type: ndcg_at_5
value: 35.313
verified: no, type: precision_at_1
value: 28.136
verified: no, type: precision_at_10
value: 5.457999999999999
verified: no, type: precision_at_100
value: 0.826
verified: no, type: precision_at_1000
value: 0.107
verified: no, type: precision_at_3
value: 13.522
verified: no, type: precision_at_5
value: 9.424000000000001
verified: no, type: recall_at_1
value: 26.186
verified: no, type: recall_at_10
value: 47.961999999999996
verified: no, type: recall_at_100
value: 70.072
verified: no, type: recall_at_1000
value: 88.505
verified: no, type: recall_at_3
value: 36.752
verified: no, type: recall_at_5
value: 42.168
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.586000000000002
verified: no, type: map_at_10
value: 23.637
verified: no, type: map_at_100
value: 24.82
verified: no, type: map_at_1000
value: 24.95
verified: no, type: map_at_3
value: 21.428
verified: no, type: map_at_5
value: 22.555
verified: no, type: mrr_at_1
value: 20.771
verified: no, type: mrr_at_10
value: 27.839999999999996
verified: no, type: mrr_at_100
value: 28.887
verified: no, type: mrr_at_1000
value: 28.967
verified: no, type: mrr_at_3
value: 25.56
verified: no, type: mrr_at_5
value: 26.723000000000003
verified: no, type: ndcg_at_1
value: 20.771
verified: no, type: ndcg_at_10
value: 28.255000000000003
verified: no, type: ndcg_at_100
value: 33.886
verified: no, type: ndcg_at_1000
value: 36.963
verified: no, type: ndcg_at_3
value: 24.056
verified: no, type: ndcg_at_5
value: 25.818
verified: no, type: precision_at_1
value: 20.771
verified: no, type: precision_at_10
value: 5.1
verified: no, type: precision_at_100
value: 0.9119999999999999
verified: no, type: precision_at_1000
value: 0.132
verified: no, type: precision_at_3
value: 11.526
verified: no, type: precision_at_5
value: 8.158999999999999
verified: no, type: recall_at_1
value: 16.586000000000002
verified: no, type: recall_at_10
value: 38.456
verified: no, type: recall_at_100
value: 62.666
verified: no, type: recall_at_1000
value: 84.47
verified: no, type: recall_at_3
value: 26.765
verified: no, type: recall_at_5
value: 31.297000000000004
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.831
verified: no, type: map_at_10
value: 37.545
verified: no, type: map_at_100
value: 38.934999999999995
verified: no, type: map_at_1000
value: 39.044000000000004
verified: no, type: map_at_3
value: 34.601
verified: no, type: map_at_5
value: 36.302
verified: no, type: mrr_at_1
value: 34.264
verified: no, type: mrr_at_10
value: 42.569
verified: no, type: mrr_at_100
value: 43.514
verified: no, type: mrr_at_1000
value: 43.561
verified: no, type: mrr_at_3
value: 40.167
verified: no, type: mrr_at_5
value: 41.678
verified: no, type: ndcg_at_1
value: 34.264
verified: no, type: ndcg_at_10
value: 42.914
verified: no, type: ndcg_at_100
value: 48.931999999999995
verified: no, type: ndcg_at_1000
value: 51.004000000000005
verified: no, type: ndcg_at_3
value: 38.096999999999994
verified: no, type: ndcg_at_5
value: 40.509
verified: no, type: precision_at_1
value: 34.264
verified: no, type: precision_at_10
value: 7.642
verified: no, type: precision_at_100
value: 1.258
verified: no, type: precision_at_1000
value: 0.161
verified: no, type: precision_at_3
value: 17.453
verified: no, type: precision_at_5
value: 12.608
verified: no, type: recall_at_1
value: 28.831
verified: no, type: recall_at_10
value: 53.56999999999999
verified: no, type: recall_at_100
value: 79.26100000000001
verified: no, type: recall_at_1000
value: 92.862
verified: no, type: recall_at_3
value: 40.681
verified: no, type: recall_at_5
value: 46.597
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.461000000000002
verified: no, type: map_at_10
value: 35.885
verified: no, type: map_at_100
value: 37.039
verified: no, type: map_at_1000
value: 37.16
verified: no, type: map_at_3
value: 33.451
verified: no, type: map_at_5
value: 34.807
verified: no, type: mrr_at_1
value: 34.018
verified: no, type: mrr_at_10
value: 41.32
verified: no, type: mrr_at_100
value: 42.157
verified: no, type: mrr_at_1000
value: 42.223
verified: no, type: mrr_at_3
value: 39.288000000000004
verified: no, type: mrr_at_5
value: 40.481
verified: no, type: ndcg_at_1
value: 34.018
verified: no, type: ndcg_at_10
value: 40.821000000000005
verified: no, type: ndcg_at_100
value: 46.053
verified: no, type: ndcg_at_1000
value: 48.673
verified: no, type: ndcg_at_3
value: 36.839
verified: no, type: ndcg_at_5
value: 38.683
verified: no, type: precision_at_1
value: 34.018
verified: no, type: precision_at_10
value: 7.009
verified: no, type: precision_at_100
value: 1.123
verified: no, type: precision_at_1000
value: 0.153
verified: no, type: precision_at_3
value: 16.933
verified: no, type: precision_at_5
value: 11.826
verified: no, type: recall_at_1
value: 27.461000000000002
verified: no, type: recall_at_10
value: 50.285000000000004
verified: no, type: recall_at_100
value: 73.25500000000001
verified: no, type: recall_at_1000
value: 91.17699999999999
verified: no, type: recall_at_3
value: 39.104
verified: no, type: recall_at_5
value: 43.968
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.980083333333337
verified: no, type: map_at_10
value: 34.47208333333333
verified: no, type: map_at_100
value: 35.609249999999996
verified: no, type: map_at_1000
value: 35.72833333333333
verified: no, type: map_at_3
value: 32.189416666666666
verified: no, type: map_at_5
value: 33.44683333333334
verified: no, type: mrr_at_1
value: 31.731666666666662
verified: no, type: mrr_at_10
value: 38.518
verified: no, type: mrr_at_100
value: 39.38166666666667
verified: no, type: mrr_at_1000
value: 39.446999999999996
verified: no, type: mrr_at_3
value: 36.49966666666668
verified: no, type: mrr_at_5
value: 37.639916666666664
verified: no, type: ndcg_at_1
value: 31.731666666666662
verified: no, type: ndcg_at_10
value: 38.92033333333333
verified: no, type: ndcg_at_100
value: 44.01675
verified: no, type: ndcg_at_1000
value: 46.51075
verified: no, type: ndcg_at_3
value: 35.09766666666667
verified: no, type: ndcg_at_5
value: 36.842999999999996
verified: no, type: precision_at_1
value: 31.731666666666662
verified: no, type: precision_at_10
value: 6.472583333333332
verified: no, type: precision_at_100
value: 1.0665
verified: no, type: precision_at_1000
value: 0.14725000000000002
verified: no, type: precision_at_3
value: 15.659083333333331
verified: no, type: precision_at_5
value: 10.878833333333333
verified: no, type: recall_at_1
value: 26.980083333333337
verified: no, type: recall_at_10
value: 48.13925
verified: no, type: recall_at_100
value: 70.70149999999998
verified: no, type: recall_at_1000
value: 88.10775000000001
verified: no, type: recall_at_3
value: 37.30091666666667
verified: no, type: recall_at_5
value: 41.90358333333333
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.607999999999997
verified: no, type: map_at_10
value: 30.523
verified: no, type: map_at_100
value: 31.409
verified: no, type: map_at_1000
value: 31.507
verified: no, type: map_at_3
value: 28.915000000000003
verified: no, type: map_at_5
value: 29.756
verified: no, type: mrr_at_1
value: 28.681
verified: no, type: mrr_at_10
value: 33.409
verified: no, type: mrr_at_100
value: 34.241
verified: no, type: mrr_at_1000
value: 34.313
verified: no, type: mrr_at_3
value: 32.029999999999994
verified: no, type: mrr_at_5
value: 32.712
verified: no, type: ndcg_at_1
value: 28.681
verified: no, type: ndcg_at_10
value: 33.733000000000004
verified: no, type: ndcg_at_100
value: 38.32
verified: no, type: ndcg_at_1000
value: 40.937
verified: no, type: ndcg_at_3
value: 30.898999999999997
verified: no, type: ndcg_at_5
value: 32.088
verified: no, type: precision_at_1
value: 28.681
verified: no, type: precision_at_10
value: 4.968999999999999
verified: no, type: precision_at_100
value: 0.79
verified: no, type: precision_at_1000
value: 0.11
verified: no, type: precision_at_3
value: 12.73
verified: no, type: precision_at_5
value: 8.558
verified: no, type: recall_at_1
value: 25.607999999999997
verified: no, type: recall_at_10
value: 40.722
verified: no, type: recall_at_100
value: 61.956999999999994
verified: no, type: recall_at_1000
value: 81.43
verified: no, type: recall_at_3
value: 32.785
verified: no, type: recall_at_5
value: 35.855
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 20.399
verified: no, type: map_at_10
value: 25.968000000000004
verified: no, type: map_at_100
value: 26.985999999999997
verified: no, type: map_at_1000
value: 27.105
verified: no, type: map_at_3
value: 24.215
verified: no, type: map_at_5
value: 25.157
verified: no, type: mrr_at_1
value: 24.708
verified: no, type: mrr_at_10
value: 29.971999999999998
verified: no, type: mrr_at_100
value: 30.858
verified: no, type: mrr_at_1000
value: 30.934
verified: no, type: mrr_at_3
value: 28.304000000000002
verified: no, type: mrr_at_5
value: 29.183999999999997
verified: no, type: ndcg_at_1
value: 24.708
verified: no, type: ndcg_at_10
value: 29.676000000000002
verified: no, type: ndcg_at_100
value: 34.656
verified: no, type: ndcg_at_1000
value: 37.588
verified: no, type: ndcg_at_3
value: 26.613
verified: no, type: ndcg_at_5
value: 27.919
verified: no, type: precision_at_1
value: 24.708
verified: no, type: precision_at_10
value: 5.01
verified: no, type: precision_at_100
value: 0.876
verified: no, type: precision_at_1000
value: 0.13
verified: no, type: precision_at_3
value: 11.975
verified: no, type: precision_at_5
value: 8.279
verified: no, type: recall_at_1
value: 20.399
verified: no, type: recall_at_10
value: 36.935
verified: no, type: recall_at_100
value: 59.532
verified: no, type: recall_at_1000
value: 80.58
verified: no, type: recall_at_3
value: 27.979
verified: no, type: recall_at_5
value: 31.636999999999997
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.606
verified: no, type: map_at_10
value: 34.213
verified: no, type: map_at_100
value: 35.339999999999996
verified: no, type: map_at_1000
value: 35.458
verified: no, type: map_at_3
value: 31.987
verified: no, type: map_at_5
value: 33.322
verified: no, type: mrr_at_1
value: 31.53
verified: no, type: mrr_at_10
value: 37.911
verified: no, type: mrr_at_100
value: 38.879000000000005
verified: no, type: mrr_at_1000
value: 38.956
verified: no, type: mrr_at_3
value: 35.868
verified: no, type: mrr_at_5
value: 37.047999999999995
verified: no, type: ndcg_at_1
value: 31.53
verified: no, type: ndcg_at_10
value: 38.312000000000005
verified: no, type: ndcg_at_100
value: 43.812
verified: no, type: ndcg_at_1000
value: 46.414
verified: no, type: ndcg_at_3
value: 34.319
verified: no, type: ndcg_at_5
value: 36.312
verified: no, type: precision_at_1
value: 31.53
verified: no, type: precision_at_10
value: 5.970000000000001
verified: no, type: precision_at_100
value: 0.9939999999999999
verified: no, type: precision_at_1000
value: 0.133
verified: no, type: precision_at_3
value: 14.738999999999999
verified: no, type: precision_at_5
value: 10.242999999999999
verified: no, type: recall_at_1
value: 27.606
verified: no, type: recall_at_10
value: 47.136
verified: no, type: recall_at_100
value: 71.253
verified: no, type: recall_at_1000
value: 89.39399999999999
verified: no, type: recall_at_3
value: 36.342
verified: no, type: recall_at_5
value: 41.388999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.855
verified: no, type: map_at_10
value: 31.963
verified: no, type: map_at_100
value: 33.371
verified: no, type: map_at_1000
value: 33.584
verified: no, type: map_at_3
value: 29.543999999999997
verified: no, type: map_at_5
value: 30.793
verified: no, type: mrr_at_1
value: 29.644
verified: no, type: mrr_at_10
value: 35.601
verified: no, type: mrr_at_100
value: 36.551
verified: no, type: mrr_at_1000
value: 36.623
verified: no, type: mrr_at_3
value: 33.399
verified: no, type: mrr_at_5
value: 34.575
verified: no, type: ndcg_at_1
value: 29.644
verified: no, type: ndcg_at_10
value: 36.521
verified: no, type: ndcg_at_100
value: 42.087
verified: no, type: ndcg_at_1000
value: 45.119
verified: no, type: ndcg_at_3
value: 32.797
verified: no, type: ndcg_at_5
value: 34.208
verified: no, type: precision_at_1
value: 29.644
verified: no, type: precision_at_10
value: 6.7
verified: no, type: precision_at_100
value: 1.374
verified: no, type: precision_at_1000
value: 0.22899999999999998
verified: no, type: precision_at_3
value: 15.152
verified: no, type: precision_at_5
value: 10.671999999999999
verified: no, type: recall_at_1
value: 24.855
verified: no, type: recall_at_10
value: 45.449
verified: no, type: recall_at_100
value: 70.921
verified: no, type: recall_at_1000
value: 90.629
verified: no, type: recall_at_3
value: 33.526
verified: no, type: recall_at_5
value: 37.848
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.781
verified: no, type: map_at_10
value: 30.020999999999997
verified: no, type: map_at_100
value: 30.948999999999998
verified: no, type: map_at_1000
value: 31.05
verified: no, type: map_at_3
value: 28.412
verified: no, type: map_at_5
value: 29.193
verified: no, type: mrr_at_1
value: 27.172
verified: no, type: mrr_at_10
value: 32.309
verified: no, type: mrr_at_100
value: 33.164
verified: no, type: mrr_at_1000
value: 33.239999999999995
verified: no, type: mrr_at_3
value: 30.775999999999996
verified: no, type: mrr_at_5
value: 31.562
verified: no, type: ndcg_at_1
value: 27.172
verified: no, type: ndcg_at_10
value: 33.178999999999995
verified: no, type: ndcg_at_100
value: 37.949
verified: no, type: ndcg_at_1000
value: 40.635
verified: no, type: ndcg_at_3
value: 30.107
verified: no, type: ndcg_at_5
value: 31.36
verified: no, type: precision_at_1
value: 27.172
verified: no, type: precision_at_10
value: 4.769
verified: no, type: precision_at_100
value: 0.769
verified: no, type: precision_at_1000
value: 0.109
verified: no, type: precision_at_3
value: 12.261
verified: no, type: precision_at_5
value: 8.17
verified: no, type: recall_at_1
value: 24.781
verified: no, type: recall_at_10
value: 40.699000000000005
verified: no, type: recall_at_100
value: 62.866
verified: no, type: recall_at_1000
value: 83.11699999999999
verified: no, type: recall_at_3
value: 32.269999999999996
verified: no, type: recall_at_5
value: 35.443999999999996
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.2139999999999995
verified: no, type: map_at_10
value: 9.986
verified: no, type: map_at_100
value: 11.343
verified: no, type: map_at_1000
value: 11.55
verified: no, type: map_at_3
value: 7.961
verified: no, type: map_at_5
value: 8.967
verified: no, type: mrr_at_1
value: 12.052
verified: no, type: mrr_at_10
value: 20.165
verified: no, type: mrr_at_100
value: 21.317
verified: no, type: mrr_at_1000
value: 21.399
verified: no, type: mrr_at_3
value: 17.079
verified: no, type: mrr_at_5
value: 18.695
verified: no, type: ndcg_at_1
value: 12.052
verified: no, type: ndcg_at_10
value: 15.375
verified: no, type: ndcg_at_100
value: 21.858
verified: no, type: ndcg_at_1000
value: 26.145000000000003
verified: no, type: ndcg_at_3
value: 11.334
verified: no, type: ndcg_at_5
value: 12.798000000000002
verified: no, type: precision_at_1
value: 12.052
verified: no, type: precision_at_10
value: 5.16
verified: no, type: precision_at_100
value: 1.206
verified: no, type: precision_at_1000
value: 0.198
verified: no, type: precision_at_3
value: 8.73
verified: no, type: precision_at_5
value: 7.114
verified: no, type: recall_at_1
value: 5.2139999999999995
verified: no, type: recall_at_10
value: 20.669999999999998
verified: no, type: recall_at_100
value: 43.901
verified: no, type: recall_at_1000
value: 68.447
verified: no, type: recall_at_3
value: 11.049000000000001
verified: no, type: recall_at_5
value: 14.652999999999999
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 8.511000000000001
verified: no, type: map_at_10
value: 19.503
verified: no, type: map_at_100
value: 27.46
verified: no, type: map_at_1000
value: 29.187
verified: no, type: map_at_3
value: 14.030999999999999
verified: no, type: map_at_5
value: 16.329
verified: no, type: mrr_at_1
value: 63.74999999999999
verified: no, type: mrr_at_10
value: 73.419
verified: no, type: mrr_at_100
value: 73.691
verified: no, type: mrr_at_1000
value: 73.697
verified: no, type: mrr_at_3
value: 71.792
verified: no, type: mrr_at_5
value: 72.979
verified: no, type: ndcg_at_1
value: 53.125
verified: no, type: ndcg_at_10
value: 41.02
verified: no, type: ndcg_at_100
value: 45.407
verified: no, type: ndcg_at_1000
value: 52.68000000000001
verified: no, type: ndcg_at_3
value: 46.088
verified: no, type: ndcg_at_5
value: 43.236000000000004
verified: no, type: precision_at_1
value: 63.74999999999999
verified: no, type: precision_at_10
value: 32.35
verified: no, type: precision_at_100
value: 10.363
verified: no, type: precision_at_1000
value: 2.18
verified: no, type: precision_at_3
value: 49.667
verified: no, type: precision_at_5
value: 41.5
verified: no, type: recall_at_1
value: 8.511000000000001
verified: no, type: recall_at_10
value: 24.851
verified: no, type: recall_at_100
value: 50.745
verified: no, type: recall_at_1000
value: 73.265
verified: no, type: recall_at_3
value: 15.716
verified: no, type: recall_at_5
value: 19.256
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 49.43500000000001
verified: no, type: f1
value: 44.56288273966374
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 40.858
verified: no, type: map_at_10
value: 52.276
verified: no, type: map_at_100
value: 52.928
verified: no, type: map_at_1000
value: 52.966
verified: no, type: map_at_3
value: 49.729
verified: no, type: map_at_5
value: 51.27
verified: no, type: mrr_at_1
value: 43.624
verified: no, type: mrr_at_10
value: 55.22899999999999
verified: no, type: mrr_at_100
value: 55.823
verified: no, type: mrr_at_1000
value: 55.85
verified: no, type: mrr_at_3
value: 52.739999999999995
verified: no, type: mrr_at_5
value: 54.251000000000005
verified: no, type: ndcg_at_1
value: 43.624
verified: no, type: ndcg_at_10
value: 58.23500000000001
verified: no, type: ndcg_at_100
value: 61.315
verified: no, type: ndcg_at_1000
value: 62.20099999999999
verified: no, type: ndcg_at_3
value: 53.22
verified: no, type: ndcg_at_5
value: 55.88999999999999
verified: no, type: precision_at_1
value: 43.624
verified: no, type: precision_at_10
value: 8.068999999999999
verified: no, type: precision_at_100
value: 0.975
verified: no, type: precision_at_1000
value: 0.107
verified: no, type: precision_at_3
value: 21.752
verified: no, type: precision_at_5
value: 14.515
verified: no, type: recall_at_1
value: 40.858
verified: no, type: recall_at_10
value: 73.744
verified: no, type: recall_at_100
value: 87.667
verified: no, type: recall_at_1000
value: 94.15599999999999
verified: no, type: recall_at_3
value: 60.287
verified: no, type: recall_at_5
value: 66.703
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.864
verified: no, type: map_at_10
value: 28.592000000000002
verified: no, type: map_at_100
value: 30.165
verified: no, type: map_at_1000
value: 30.364
verified: no, type: map_at_3
value: 24.586
verified: no, type: map_at_5
value: 26.717000000000002
verified: no, type: mrr_at_1
value: 35.031
verified: no, type: mrr_at_10
value: 43.876
verified: no, type: mrr_at_100
value: 44.683
verified: no, type: mrr_at_1000
value: 44.736
verified: no, type: mrr_at_3
value: 40.998000000000005
verified: no, type: mrr_at_5
value: 42.595
verified: no, type: ndcg_at_1
value: 35.031
verified: no, type: ndcg_at_10
value: 36.368
verified: no, type: ndcg_at_100
value: 42.472
verified: no, type: ndcg_at_1000
value: 45.973000000000006
verified: no, type: ndcg_at_3
value: 31.915
verified: no, type: ndcg_at_5
value: 33.394
verified: no, type: precision_at_1
value: 35.031
verified: no, type: precision_at_10
value: 10.139
verified: no, type: precision_at_100
value: 1.6420000000000001
verified: no, type: precision_at_1000
value: 0.22699999999999998
verified: no, type: precision_at_3
value: 21.142
verified: no, type: precision_at_5
value: 15.772
verified: no, type: recall_at_1
value: 17.864
verified: no, type: recall_at_10
value: 43.991
verified: no, type: recall_at_100
value: 66.796
verified: no, type: recall_at_1000
value: 87.64
verified: no, type: recall_at_3
value: 28.915999999999997
verified: no, type: recall_at_5
value: 35.185
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 36.556
verified: no, type: map_at_10
value: 53.056000000000004
verified: no, type: map_at_100
value: 53.909
verified: no, type: map_at_1000
value: 53.98
verified: no, type: map_at_3
value: 49.982
verified: no, type: map_at_5
value: 51.9
verified: no, type: mrr_at_1
value: 73.113
verified: no, type: mrr_at_10
value: 79.381
verified: no, type: mrr_at_100
value: 79.60300000000001
verified: no, type: mrr_at_1000
value: 79.617
verified: no, type: mrr_at_3
value: 78.298
verified: no, type: mrr_at_5
value: 78.995
verified: no, type: ndcg_at_1
value: 73.113
verified: no, type: ndcg_at_10
value: 62.21
verified: no, type: ndcg_at_100
value: 65.242
verified: no, type: ndcg_at_1000
value: 66.667
verified: no, type: ndcg_at_3
value: 57.717
verified: no, type: ndcg_at_5
value: 60.224
verified: no, type: precision_at_1
value: 73.113
verified: no, type: precision_at_10
value: 12.842999999999998
verified: no, type: precision_at_100
value: 1.522
verified: no, type: precision_at_1000
value: 0.17099999999999999
verified: no, type: precision_at_3
value: 36.178
verified: no, type: precision_at_5
value: 23.695
verified: no, type: recall_at_1
value: 36.556
verified: no, type: recall_at_10
value: 64.213
verified: no, type: recall_at_100
value: 76.077
verified: no, type: recall_at_1000
value: 85.53699999999999
verified: no, type: recall_at_3
value: 54.266999999999996
verified: no, type: recall_at_5
value: 59.236999999999995
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 75.958
verified: no, type: ap
value: 69.82869527654348
verified: no, type: f1
value: 75.89120903005633
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 23.608
verified: no, type: map_at_10
value: 36.144
verified: no, type: map_at_100
value: 37.244
verified: no, type: map_at_1000
value: 37.291999999999994
verified: no, type: map_at_3
value: 32.287
verified: no, type: map_at_5
value: 34.473
verified: no, type: mrr_at_1
value: 24.226
verified: no, type: mrr_at_10
value: 36.711
verified: no, type: mrr_at_100
value: 37.758
verified: no, type: mrr_at_1000
value: 37.8
verified: no, type: mrr_at_3
value: 32.92
verified: no, type: mrr_at_5
value: 35.104
verified: no, type: ndcg_at_1
value: 24.269
verified: no, type: ndcg_at_10
value: 43.138
verified: no, type: ndcg_at_100
value: 48.421
verified: no, type: ndcg_at_1000
value: 49.592000000000006
verified: no, type: ndcg_at_3
value: 35.269
verified: no, type: ndcg_at_5
value: 39.175
verified: no, type: precision_at_1
value: 24.269
verified: no, type: precision_at_10
value: 6.755999999999999
verified: no, type: precision_at_100
value: 0.941
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 14.938
verified: no, type: precision_at_5
value: 10.934000000000001
verified: no, type: recall_at_1
value: 23.608
verified: no, type: recall_at_10
value: 64.679
verified: no, type: recall_at_100
value: 89.027
verified: no, type: recall_at_1000
value: 97.91
verified: no, type: recall_at_3
value: 43.25
verified: no, type: recall_at_5
value: 52.617000000000004
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.21477428180576
verified: no, type: f1
value: 92.92502305092152
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 74.76744186046511
verified: no, type: f1
value: 59.19855520057899
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.24613315400134
verified: no, type: f1
value: 70.19950395651232
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.75857431069268
verified: no, type: f1
value: 76.5433450230191
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics: type: v_measure
value: 31.525463791623604
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 28.28695907385136
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 30.068174046665224
verified: no, type: mrr
value: 30.827586642840803
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 6.322
verified: no, type: map_at_10
value: 13.919999999999998
verified: no, type: map_at_100
value: 17.416
verified: no, type: map_at_1000
value: 18.836
verified: no, type: map_at_3
value: 10.111
verified: no, type: map_at_5
value: 11.991999999999999
verified: no, type: mrr_at_1
value: 48.297000000000004
verified: no, type: mrr_at_10
value: 57.114
verified: no, type: mrr_at_100
value: 57.713
verified: no, type: mrr_at_1000
value: 57.751
verified: no, type: mrr_at_3
value: 55.108000000000004
verified: no, type: mrr_at_5
value: 56.533
verified: no, type: ndcg_at_1
value: 46.44
verified: no, type: ndcg_at_10
value: 36.589
verified: no, type: ndcg_at_100
value: 33.202
verified: no, type: ndcg_at_1000
value: 41.668
verified: no, type: ndcg_at_3
value: 41.302
verified: no, type: ndcg_at_5
value: 39.829
verified: no, type: precision_at_1
value: 47.988
verified: no, type: precision_at_10
value: 27.059
verified: no, type: precision_at_100
value: 8.235000000000001
verified: no, type: precision_at_1000
value: 2.091
verified: no, type: precision_at_3
value: 38.184000000000005
verified: no, type: precision_at_5
value: 34.365
verified: no, type: recall_at_1
value: 6.322
verified: no, type: recall_at_10
value: 18.288
verified: no, type: recall_at_100
value: 32.580999999999996
verified: no, type: recall_at_1000
value: 63.605999999999995
verified: no, type: recall_at_3
value: 11.266
verified: no, type: recall_at_5
value: 14.69
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 36.586999999999996
verified: no, type: map_at_10
value: 52.464
verified: no, type: map_at_100
value: 53.384
verified: no, type: map_at_1000
value: 53.405
verified: no, type: map_at_3
value: 48.408
verified: no, type: map_at_5
value: 50.788999999999994
verified: no, type: mrr_at_1
value: 40.904
verified: no, type: mrr_at_10
value: 54.974000000000004
verified: no, type: mrr_at_100
value: 55.60699999999999
verified: no, type: mrr_at_1000
value: 55.623
verified: no, type: mrr_at_3
value: 51.73799999999999
verified: no, type: mrr_at_5
value: 53.638
verified: no, type: ndcg_at_1
value: 40.904
verified: no, type: ndcg_at_10
value: 59.965999999999994
verified: no, type: ndcg_at_100
value: 63.613
verified: no, type: ndcg_at_1000
value: 64.064
verified: no, type: ndcg_at_3
value: 52.486
verified: no, type: ndcg_at_5
value: 56.377
verified: no, type: precision_at_1
value: 40.904
verified: no, type: precision_at_10
value: 9.551
verified: no, type: precision_at_100
value: 1.162
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 23.552
verified: no, type: precision_at_5
value: 16.436999999999998
verified: no, type: recall_at_1
value: 36.586999999999996
verified: no, type: recall_at_10
value: 80.094
verified: no, type: recall_at_100
value: 95.515
verified: no, type: recall_at_1000
value: 98.803
verified: no, type: recall_at_3
value: 60.907
verified: no, type: recall_at_5
value: 69.817
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 70.422
verified: no, type: map_at_10
value: 84.113
verified: no, type: map_at_100
value: 84.744
verified: no, type: map_at_1000
value: 84.762
verified: no, type: map_at_3
value: 81.171
verified: no, type: map_at_5
value: 83.039
verified: no, type: mrr_at_1
value: 81.12
verified: no, type: mrr_at_10
value: 87.277
verified: no, type: mrr_at_100
value: 87.384
verified: no, type: mrr_at_1000
value: 87.385
verified: no, type: mrr_at_3
value: 86.315
verified: no, type: mrr_at_5
value: 86.981
verified: no, type: ndcg_at_1
value: 81.12
verified: no, type: ndcg_at_10
value: 87.92
verified: no, type: ndcg_at_100
value: 89.178
verified: no, type: ndcg_at_1000
value: 89.29899999999999
verified: no, type: ndcg_at_3
value: 85.076
verified: no, type: ndcg_at_5
value: 86.67099999999999
verified: no, type: precision_at_1
value: 81.12
verified: no, type: precision_at_10
value: 13.325999999999999
verified: no, type: precision_at_100
value: 1.524
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.16
verified: no, type: precision_at_5
value: 24.456
verified: no, type: recall_at_1
value: 70.422
verified: no, type: recall_at_10
value: 95.00800000000001
verified: no, type: recall_at_100
value: 99.38
verified: no, type: recall_at_1000
value: 99.94800000000001
verified: no, type: recall_at_3
value: 86.809
verified: no, type: recall_at_5
value: 91.334
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 48.18491891699636
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics: type: v_measure
value: 62.190639679711914
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.478
verified: no, type: map_at_10
value: 11.268
verified: no, type: map_at_100
value: 13.129
verified: no, type: map_at_1000
value: 13.41
verified: no, type: map_at_3
value: 8.103
verified: no, type: map_at_5
value: 9.609
verified: no, type: mrr_at_1
value: 22
verified: no, type: mrr_at_10
value: 32.248
verified: no, type: mrr_at_100
value: 33.355000000000004
verified: no, type: mrr_at_1000
value: 33.42
verified: no, type: mrr_at_3
value: 29.15
verified: no, type: mrr_at_5
value: 30.785
verified: no, type: ndcg_at_1
value: 22
verified: no, type: ndcg_at_10
value: 18.990000000000002
verified: no, type: ndcg_at_100
value: 26.302999999999997
verified: no, type: ndcg_at_1000
value: 31.537
verified: no, type: ndcg_at_3
value: 18.034
verified: no, type: ndcg_at_5
value: 15.655
verified: no, type: precision_at_1
value: 22
verified: no, type: precision_at_10
value: 9.91
verified: no, type: precision_at_100
value: 2.0420000000000003
verified: no, type: precision_at_1000
value: 0.33
verified: no, type: precision_at_3
value: 16.933
verified: no, type: precision_at_5
value: 13.719999999999999
verified: no, type: recall_at_1
value: 4.478
verified: no, type: recall_at_10
value: 20.087
verified: no, type: recall_at_100
value: 41.457
verified: no, type: recall_at_1000
value: 67.10199999999999
verified: no, type: recall_at_3
value: 10.313
verified: no, type: recall_at_5
value: 13.927999999999999
verified: no, task: type: STS
dataset: type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics: type: cos_sim_pearson
value: 84.27341574565806
verified: no, type: cos_sim_spearman
value: 79.66419880841734
verified: no, type: euclidean_pearson
value: 81.32473321838208
verified: no, type: euclidean_spearman
value: 79.29828832085133
verified: no, type: manhattan_pearson
value: 81.25554065883132
verified: no, type: manhattan_spearman
value: 79.23275543279853
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_pearson
value: 83.40468875905418
verified: no, type: cos_sim_spearman
value: 74.2189990321174
verified: no, type: euclidean_pearson
value: 80.74376966290956
verified: no, type: euclidean_spearman
value: 74.97663839079335
verified: no, type: manhattan_pearson
value: 80.69779331646207
verified: no, type: manhattan_spearman
value: 75.00225252917613
verified: no, task: type: STS
dataset: type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_pearson
value: 82.5745290053095
verified: no, type: cos_sim_spearman
value: 83.31401180333397
verified: no, type: euclidean_pearson
value: 82.96500607325534
verified: no, type: euclidean_spearman
value: 83.8534967935793
verified: no, type: manhattan_pearson
value: 82.83112050632508
verified: no, type: manhattan_spearman
value: 83.70877296557838
verified: no, task: type: STS
dataset: type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_pearson
value: 80.67833656607704
verified: no, type: cos_sim_spearman
value: 78.52252410630707
verified: no, type: euclidean_pearson
value: 80.071189514343
verified: no, type: euclidean_spearman
value: 78.95143545742796
verified: no, type: manhattan_pearson
value: 80.0128926165121
verified: no, type: manhattan_spearman
value: 78.91236678732628
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 87.48437639980746
verified: no, type: cos_sim_spearman
value: 88.34876527774259
verified: no, type: euclidean_pearson
value: 87.64898081823888
verified: no, type: euclidean_spearman
value: 88.58937180804213
verified: no, type: manhattan_pearson
value: 87.5942417815288
verified: no, type: manhattan_spearman
value: 88.53013922267687
verified: no, task: type: STS
dataset: type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_pearson
value: 82.69189187164781
verified: no, type: cos_sim_spearman
value: 84.15327883572112
verified: no, type: euclidean_pearson
value: 83.64202266685898
verified: no, type: euclidean_spearman
value: 84.6219602318862
verified: no, type: manhattan_pearson
value: 83.53256698709998
verified: no, type: manhattan_spearman
value: 84.49260712904946
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 87.09508017611589
verified: no, type: cos_sim_spearman
value: 87.23010990417097
verified: no, type: euclidean_pearson
value: 87.62545569077133
verified: no, type: euclidean_spearman
value: 86.71152051711714
verified: no, type: manhattan_pearson
value: 87.5057154278377
verified: no, type: manhattan_spearman
value: 86.60611898281267
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 61.72129893941176
verified: no, type: cos_sim_spearman
value: 62.87871412069194
verified: no, type: euclidean_pearson
value: 63.21077648290454
verified: no, type: euclidean_spearman
value: 63.03263080805978
verified: no, type: manhattan_pearson
value: 63.20740860135976
verified: no, type: manhattan_spearman
value: 62.89930471802817
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 85.039118236799
verified: no, type: cos_sim_spearman
value: 86.18102563389962
verified: no, type: euclidean_pearson
value: 85.62977041471879
verified: no, type: euclidean_spearman
value: 86.02478990544347
verified: no, type: manhattan_pearson
value: 85.60786740521806
verified: no, type: manhattan_spearman
value: 85.99546210442547
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 82.89875069737266
verified: no, type: mrr
value: 95.42621322033087
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 58.660999999999994
verified: no, type: map_at_10
value: 68.738
verified: no, type: map_at_100
value: 69.33200000000001
verified: no, type: map_at_1000
value: 69.352
verified: no, type: map_at_3
value: 66.502
verified: no, type: map_at_5
value: 67.686
verified: no, type: mrr_at_1
value: 61.667
verified: no, type: mrr_at_10
value: 70.003
verified: no, type: mrr_at_100
value: 70.441
verified: no, type: mrr_at_1000
value: 70.46
verified: no, type: mrr_at_3
value: 68.278
verified: no, type: mrr_at_5
value: 69.194
verified: no, type: ndcg_at_1
value: 61.667
verified: no, type: ndcg_at_10
value: 73.083
verified: no, type: ndcg_at_100
value: 75.56
verified: no, type: ndcg_at_1000
value: 76.01400000000001
verified: no, type: ndcg_at_3
value: 69.28699999999999
verified: no, type: ndcg_at_5
value: 70.85000000000001
verified: no, type: precision_at_1
value: 61.667
verified: no, type: precision_at_10
value: 9.6
verified: no, type: precision_at_100
value: 1.087
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 27.111
verified: no, type: precision_at_5
value: 17.467
verified: no, type: recall_at_1
value: 58.660999999999994
verified: no, type: recall_at_10
value: 85.02199999999999
verified: no, type: recall_at_100
value: 95.933
verified: no, type: recall_at_1000
value: 99.333
verified: no, type: recall_at_3
value: 74.506
verified: no, type: recall_at_5
value: 78.583
verified: no, task: type: PairClassification
dataset: type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics: type: cos_sim_accuracy
value: 99.8029702970297
verified: no, type: cos_sim_ap
value: 94.87673936635738
verified: no, type: cos_sim_f1
value: 90.00502260170768
verified: no, type: cos_sim_precision
value: 90.41372351160445
verified: no, type: cos_sim_recall
value: 89.60000000000001
verified: no, type: dot_accuracy
value: 99.57524752475247
verified: no, type: dot_ap
value: 84.81717934496321
verified: no, type: dot_f1
value: 78.23026646556059
verified: no, type: dot_precision
value: 78.66531850353893
verified: no, type: dot_recall
value: 77.8
verified: no, type: euclidean_accuracy
value: 99.8029702970297
verified: no, type: euclidean_ap
value: 94.74658253135284
verified: no, type: euclidean_f1
value: 90.08470353761834
verified: no, type: euclidean_precision
value: 89.77159880834161
verified: no, type: euclidean_recall
value: 90.4
verified: no, type: manhattan_accuracy
value: 99.8
verified: no, type: manhattan_ap
value: 94.69224030742787
verified: no, type: manhattan_f1
value: 89.9502487562189
verified: no, type: manhattan_precision
value: 89.50495049504951
verified: no, type: manhattan_recall
value: 90.4
verified: no, type: max_accuracy
value: 99.8029702970297
verified: no, type: max_ap
value: 94.87673936635738
verified: no, type: max_f1
value: 90.08470353761834
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 63.906039623153035
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 32.56053830923281
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 50.15326538775145
verified: no, type: mrr
value: 50.99279295051355
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 31.44030762047337
verified: no, type: cos_sim_spearman
value: 31.00910300264562
verified: no, type: dot_pearson
value: 26.88257194766013
verified: no, type: dot_spearman
value: 27.646202679013577
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.247
verified: no, type: map_at_10
value: 1.9429999999999998
verified: no, type: map_at_100
value: 10.82
verified: no, type: map_at_1000
value: 25.972
verified: no, type: map_at_3
value: 0.653
verified: no, type: map_at_5
value: 1.057
verified: no, type: mrr_at_1
value: 94
verified: no, type: mrr_at_10
value: 96.333
verified: no, type: mrr_at_100
value: 96.333
verified: no, type: mrr_at_1000
value: 96.333
verified: no, type: mrr_at_3
value: 96.333
verified: no, type: mrr_at_5
value: 96.333
verified: no, type: ndcg_at_1
value: 89
verified: no, type: ndcg_at_10
value: 79.63799999999999
verified: no, type: ndcg_at_100
value: 57.961
verified: no, type: ndcg_at_1000
value: 50.733
verified: no, type: ndcg_at_3
value: 84.224
verified: no, type: ndcg_at_5
value: 82.528
verified: no, type: precision_at_1
value: 94
verified: no, type: precision_at_10
value: 84.2
verified: no, type: precision_at_100
value: 59.36
verified: no, type: precision_at_1000
value: 22.738
verified: no, type: precision_at_3
value: 88
verified: no, type: precision_at_5
value: 86.8
verified: no, type: recall_at_1
value: 0.247
verified: no, type: recall_at_10
value: 2.131
verified: no, type: recall_at_100
value: 14.035
verified: no, type: recall_at_1000
value: 47.457
verified: no, type: recall_at_3
value: 0.6779999999999999
verified: no, type: recall_at_5
value: 1.124
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.603
verified: no, type: map_at_10
value: 11.667
verified: no, type: map_at_100
value: 16.474
verified: no, type: map_at_1000
value: 18.074
verified: no, type: map_at_3
value: 6.03
verified: no, type: map_at_5
value: 8.067
verified: no, type: mrr_at_1
value: 34.694
verified: no, type: mrr_at_10
value: 51.063
verified: no, type: mrr_at_100
value: 51.908
verified: no, type: mrr_at_1000
value: 51.908
verified: no, type: mrr_at_3
value: 47.959
verified: no, type: mrr_at_5
value: 49.694
verified: no, type: ndcg_at_1
value: 32.653
verified: no, type: ndcg_at_10
value: 28.305000000000003
verified: no, type: ndcg_at_100
value: 35.311
verified: no, type: ndcg_at_1000
value: 47.644999999999996
verified: no, type: ndcg_at_3
value: 32.187
verified: no, type: ndcg_at_5
value: 29.134999999999998
verified: no, type: precision_at_1
value: 34.694
verified: no, type: precision_at_10
value: 26.122
verified: no, type: precision_at_100
value: 6.755
verified: no, type: precision_at_1000
value: 1.467
verified: no, type: precision_at_3
value: 34.694
verified: no, type: precision_at_5
value: 30.203999999999997
verified: no, type: recall_at_1
value: 2.603
verified: no, type: recall_at_10
value: 18.716
verified: no, type: recall_at_100
value: 42.512
verified: no, type: recall_at_1000
value: 79.32000000000001
verified: no, type: recall_at_3
value: 7.59
verified: no, type: recall_at_5
value: 10.949
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 74.117
verified: no, type: ap
value: 15.89357321699319
verified: no, type: f1
value: 57.14385866369257
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 61.38370118845502
verified: no, type: f1
value: 61.67038693866553
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 42.57754941537969
verified: no, task: type: PairClassification
dataset: type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics: type: cos_sim_accuracy
value: 86.1775049174465
verified: no, type: cos_sim_ap
value: 74.3994879581554
verified: no, type: cos_sim_f1
value: 69.32903671308551
verified: no, type: cos_sim_precision
value: 61.48193508879363
verified: no, type: cos_sim_recall
value: 79.47229551451187
verified: no, type: dot_accuracy
value: 81.65345413363534
verified: no, type: dot_ap
value: 59.690898346685096
verified: no, type: dot_f1
value: 57.27622826467499
verified: no, type: dot_precision
value: 51.34965473948525
verified: no, type: dot_recall
value: 64.74934036939314
verified: no, type: euclidean_accuracy
value: 86.04637301066937
verified: no, type: euclidean_ap
value: 74.33009001775268
verified: no, type: euclidean_f1
value: 69.2458374142997
verified: no, type: euclidean_precision
value: 64.59570580173595
verified: no, type: euclidean_recall
value: 74.6174142480211
verified: no, type: manhattan_accuracy
value: 86.11193896405793
verified: no, type: manhattan_ap
value: 74.2964140130421
verified: no, type: manhattan_f1
value: 69.11601528788066
verified: no, type: manhattan_precision
value: 64.86924323073363
verified: no, type: manhattan_recall
value: 73.95778364116094
verified: no, type: max_accuracy
value: 86.1775049174465
verified: no, type: max_ap
value: 74.3994879581554
verified: no, type: max_f1
value: 69.32903671308551
verified: no, task: type: PairClassification
dataset: type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 89.01501921061823
verified: no, type: cos_sim_ap
value: 85.97819287477351
verified: no, type: cos_sim_f1
value: 78.33882858518875
verified: no, type: cos_sim_precision
value: 75.49446626204926
verified: no, type: cos_sim_recall
value: 81.40591315060055
verified: no, type: dot_accuracy
value: 86.47494857763806
verified: no, type: dot_ap
value: 78.77420360340282
verified: no, type: dot_f1
value: 73.06433247936238
verified: no, type: dot_precision
value: 67.92140777983595
verified: no, type: dot_recall
value: 79.04989220819218
verified: no, type: euclidean_accuracy
value: 88.7297706368611
verified: no, type: euclidean_ap
value: 85.61550568529317
verified: no, type: euclidean_f1
value: 77.84805525263539
verified: no, type: euclidean_precision
value: 73.73639994491117
verified: no, type: euclidean_recall
value: 82.44533415460425
verified: no, type: manhattan_accuracy
value: 88.75111576823068
verified: no, type: manhattan_ap
value: 85.58701671476263
verified: no, type: manhattan_f1
value: 77.70169909067856
verified: no, type: manhattan_precision
value: 73.37666780704755
verified: no, type: manhattan_recall
value: 82.5685247921158
verified: no, type: max_accuracy
value: 89.01501921061823
verified: no, type: max_ap
value: 85.97819287477351
verified: no, type: max_f1
value: 78.33882858518875
verified: no
language: en
license: mit
Likes: 0 | All-time downloads: 238
Created: 2023-10-11 07:22:59