Model: vectoriseai/bge-base-en-v1.5
Author: vectoriseai
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, pytorch, onnx, bert, feature-extraction, sentence-similarity, transformers, mteb, en, arxiv:2309.07597, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: tags: sentence-transformers, feature-extraction, sentence-similarity, transformers, mteb
model-index: name: bge-base-en-v1.5
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 76.14925373134328
verified: no, type: ap
value: 39.32336517995478
verified: no, type: f1
value: 70.16902252611425
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 93.386825
verified: no, type: ap
value: 90.21276917991995
verified: no, type: f1
value: 93.37741030006174
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: 48.846000000000004
verified: no, type: f1
value: 48.14646269778261
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 40.754000000000005
verified: no, type: map_at_10
value: 55.761
verified: no, type: map_at_100
value: 56.330999999999996
verified: no, type: map_at_1000
value: 56.333999999999996
verified: no, type: map_at_3
value: 51.92
verified: no, type: map_at_5
value: 54.010999999999996
verified: no, type: mrr_at_1
value: 41.181
verified: no, type: mrr_at_10
value: 55.967999999999996
verified: no, type: mrr_at_100
value: 56.538
verified: no, type: mrr_at_1000
value: 56.542
verified: no, type: mrr_at_3
value: 51.980000000000004
verified: no, type: mrr_at_5
value: 54.208999999999996
verified: no, type: ndcg_at_1
value: 40.754000000000005
verified: no, type: ndcg_at_10
value: 63.605000000000004
verified: no, type: ndcg_at_100
value: 66.05199999999999
verified: no, type: ndcg_at_1000
value: 66.12
verified: no, type: ndcg_at_3
value: 55.708
verified: no, type: ndcg_at_5
value: 59.452000000000005
verified: no, type: precision_at_1
value: 40.754000000000005
verified: no, type: precision_at_10
value: 8.841000000000001
verified: no, type: precision_at_100
value: 0.991
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 22.238
verified: no, type: precision_at_5
value: 15.149000000000001
verified: no, type: recall_at_1
value: 40.754000000000005
verified: no, type: recall_at_10
value: 88.407
verified: no, type: recall_at_100
value: 99.14699999999999
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 66.714
verified: no, type: recall_at_5
value: 75.747
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: 48.74884539679369
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: 42.8075893810716
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 62.128470519187736
verified: no, type: mrr
value: 74.28065778481289
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: 89.24629081484655
verified: no, type: cos_sim_spearman
value: 86.93752309911496
verified: no, type: euclidean_pearson
value: 87.58589628573816
verified: no, type: euclidean_spearman
value: 88.05622328825284
verified: no, type: manhattan_pearson
value: 87.5594959805773
verified: no, type: manhattan_spearman
value: 88.19658793233961
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 86.9512987012987
verified: no, type: f1
value: 86.92515357973708
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: 39.10263762928872
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: 36.69711517426737
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.327
verified: no, type: map_at_10
value: 44.099
verified: no, type: map_at_100
value: 45.525
verified: no, type: map_at_1000
value: 45.641999999999996
verified: no, type: map_at_3
value: 40.47
verified: no, type: map_at_5
value: 42.36
verified: no, type: mrr_at_1
value: 39.199
verified: no, type: mrr_at_10
value: 49.651
verified: no, type: mrr_at_100
value: 50.29
verified: no, type: mrr_at_1000
value: 50.329
verified: no, type: mrr_at_3
value: 46.924
verified: no, type: mrr_at_5
value: 48.548
verified: no, type: ndcg_at_1
value: 39.199
verified: no, type: ndcg_at_10
value: 50.773
verified: no, type: ndcg_at_100
value: 55.67999999999999
verified: no, type: ndcg_at_1000
value: 57.495
verified: no, type: ndcg_at_3
value: 45.513999999999996
verified: no, type: ndcg_at_5
value: 47.703
verified: no, type: precision_at_1
value: 39.199
verified: no, type: precision_at_10
value: 9.914000000000001
verified: no, type: precision_at_100
value: 1.5310000000000001
verified: no, type: precision_at_1000
value: 0.198
verified: no, type: precision_at_3
value: 21.984
verified: no, type: precision_at_5
value: 15.737000000000002
verified: no, type: recall_at_1
value: 32.327
verified: no, type: recall_at_10
value: 63.743
verified: no, type: recall_at_100
value: 84.538
verified: no, type: recall_at_1000
value: 96.089
verified: no, type: recall_at_3
value: 48.065000000000005
verified: no, type: recall_at_5
value: 54.519
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.671
verified: no, type: map_at_10
value: 42.954
verified: no, type: map_at_100
value: 44.151
verified: no, type: map_at_1000
value: 44.287
verified: no, type: map_at_3
value: 39.912
verified: no, type: map_at_5
value: 41.798
verified: no, type: mrr_at_1
value: 41.465
verified: no, type: mrr_at_10
value: 49.351
verified: no, type: mrr_at_100
value: 49.980000000000004
verified: no, type: mrr_at_1000
value: 50.016000000000005
verified: no, type: mrr_at_3
value: 47.144000000000005
verified: no, type: mrr_at_5
value: 48.592999999999996
verified: no, type: ndcg_at_1
value: 41.465
verified: no, type: ndcg_at_10
value: 48.565999999999995
verified: no, type: ndcg_at_100
value: 52.76499999999999
verified: no, type: ndcg_at_1000
value: 54.749
verified: no, type: ndcg_at_3
value: 44.57
verified: no, type: ndcg_at_5
value: 46.759
verified: no, type: precision_at_1
value: 41.465
verified: no, type: precision_at_10
value: 9.107999999999999
verified: no, type: precision_at_100
value: 1.433
verified: no, type: precision_at_1000
value: 0.191
verified: no, type: precision_at_3
value: 21.423000000000002
verified: no, type: precision_at_5
value: 15.414
verified: no, type: recall_at_1
value: 32.671
verified: no, type: recall_at_10
value: 57.738
verified: no, type: recall_at_100
value: 75.86500000000001
verified: no, type: recall_at_1000
value: 88.36
verified: no, type: recall_at_3
value: 45.626
verified: no, type: recall_at_5
value: 51.812000000000005
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 41.185
verified: no, type: map_at_10
value: 53.929
verified: no, type: map_at_100
value: 54.92
verified: no, type: map_at_1000
value: 54.967999999999996
verified: no, type: map_at_3
value: 50.70400000000001
verified: no, type: map_at_5
value: 52.673
verified: no, type: mrr_at_1
value: 47.398
verified: no, type: mrr_at_10
value: 57.303000000000004
verified: no, type: mrr_at_100
value: 57.959
verified: no, type: mrr_at_1000
value: 57.985
verified: no, type: mrr_at_3
value: 54.932
verified: no, type: mrr_at_5
value: 56.464999999999996
verified: no, type: ndcg_at_1
value: 47.398
verified: no, type: ndcg_at_10
value: 59.653
verified: no, type: ndcg_at_100
value: 63.627
verified: no, type: ndcg_at_1000
value: 64.596
verified: no, type: ndcg_at_3
value: 54.455
verified: no, type: ndcg_at_5
value: 57.245000000000005
verified: no, type: precision_at_1
value: 47.398
verified: no, type: precision_at_10
value: 9.524000000000001
verified: no, type: precision_at_100
value: 1.243
verified: no, type: precision_at_1000
value: 0.13699999999999998
verified: no, type: precision_at_3
value: 24.389
verified: no, type: precision_at_5
value: 16.752
verified: no, type: recall_at_1
value: 41.185
verified: no, type: recall_at_10
value: 73.193
verified: no, type: recall_at_100
value: 90.357
verified: no, type: recall_at_1000
value: 97.253
verified: no, type: recall_at_3
value: 59.199999999999996
verified: no, type: recall_at_5
value: 66.118
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.27
verified: no, type: map_at_10
value: 36.223
verified: no, type: map_at_100
value: 37.218
verified: no, type: map_at_1000
value: 37.293
verified: no, type: map_at_3
value: 33.503
verified: no, type: map_at_5
value: 35.097
verified: no, type: mrr_at_1
value: 29.492
verified: no, type: mrr_at_10
value: 38.352000000000004
verified: no, type: mrr_at_100
value: 39.188
verified: no, type: mrr_at_1000
value: 39.247
verified: no, type: mrr_at_3
value: 35.876000000000005
verified: no, type: mrr_at_5
value: 37.401
verified: no, type: ndcg_at_1
value: 29.492
verified: no, type: ndcg_at_10
value: 41.239
verified: no, type: ndcg_at_100
value: 46.066
verified: no, type: ndcg_at_1000
value: 47.992000000000004
verified: no, type: ndcg_at_3
value: 36.11
verified: no, type: ndcg_at_5
value: 38.772
verified: no, type: precision_at_1
value: 29.492
verified: no, type: precision_at_10
value: 6.260000000000001
verified: no, type: precision_at_100
value: 0.914
verified: no, type: precision_at_1000
value: 0.11100000000000002
verified: no, type: precision_at_3
value: 15.104000000000001
verified: no, type: precision_at_5
value: 10.644
verified: no, type: recall_at_1
value: 27.27
verified: no, type: recall_at_10
value: 54.589
verified: no, type: recall_at_100
value: 76.70700000000001
verified: no, type: recall_at_1000
value: 91.158
verified: no, type: recall_at_3
value: 40.974
verified: no, type: recall_at_5
value: 47.327000000000005
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.848
verified: no, type: map_at_10
value: 26.207
verified: no, type: map_at_100
value: 27.478
verified: no, type: map_at_1000
value: 27.602
verified: no, type: map_at_3
value: 23.405
verified: no, type: map_at_5
value: 24.98
verified: no, type: mrr_at_1
value: 21.891
verified: no, type: mrr_at_10
value: 31.041999999999998
verified: no, type: mrr_at_100
value: 32.092
verified: no, type: mrr_at_1000
value: 32.151999999999994
verified: no, type: mrr_at_3
value: 28.358
verified: no, type: mrr_at_5
value: 29.969
verified: no, type: ndcg_at_1
value: 21.891
verified: no, type: ndcg_at_10
value: 31.585
verified: no, type: ndcg_at_100
value: 37.531
verified: no, type: ndcg_at_1000
value: 40.256
verified: no, type: ndcg_at_3
value: 26.508
verified: no, type: ndcg_at_5
value: 28.894
verified: no, type: precision_at_1
value: 21.891
verified: no, type: precision_at_10
value: 5.795999999999999
verified: no, type: precision_at_100
value: 0.9990000000000001
verified: no, type: precision_at_1000
value: 0.13799999999999998
verified: no, type: precision_at_3
value: 12.769
verified: no, type: precision_at_5
value: 9.279
verified: no, type: recall_at_1
value: 17.848
verified: no, type: recall_at_10
value: 43.452
verified: no, type: recall_at_100
value: 69.216
verified: no, type: recall_at_1000
value: 88.102
verified: no, type: recall_at_3
value: 29.18
verified: no, type: recall_at_5
value: 35.347
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.94
verified: no, type: map_at_10
value: 41.248000000000005
verified: no, type: map_at_100
value: 42.495
verified: no, type: map_at_1000
value: 42.602000000000004
verified: no, type: map_at_3
value: 37.939
verified: no, type: map_at_5
value: 39.924
verified: no, type: mrr_at_1
value: 37.824999999999996
verified: no, type: mrr_at_10
value: 47.041
verified: no, type: mrr_at_100
value: 47.83
verified: no, type: mrr_at_1000
value: 47.878
verified: no, type: mrr_at_3
value: 44.466
verified: no, type: mrr_at_5
value: 46.111999999999995
verified: no, type: ndcg_at_1
value: 37.824999999999996
verified: no, type: ndcg_at_10
value: 47.223
verified: no, type: ndcg_at_100
value: 52.394
verified: no, type: ndcg_at_1000
value: 54.432
verified: no, type: ndcg_at_3
value: 42.032000000000004
verified: no, type: ndcg_at_5
value: 44.772
verified: no, type: precision_at_1
value: 37.824999999999996
verified: no, type: precision_at_10
value: 8.393
verified: no, type: precision_at_100
value: 1.2890000000000001
verified: no, type: precision_at_1000
value: 0.164
verified: no, type: precision_at_3
value: 19.698
verified: no, type: precision_at_5
value: 14.013
verified: no, type: recall_at_1
value: 30.94
verified: no, type: recall_at_10
value: 59.316
verified: no, type: recall_at_100
value: 80.783
verified: no, type: recall_at_1000
value: 94.15400000000001
verified: no, type: recall_at_3
value: 44.712
verified: no, type: recall_at_5
value: 51.932
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.104
verified: no, type: map_at_10
value: 36.675999999999995
verified: no, type: map_at_100
value: 38.076
verified: no, type: map_at_1000
value: 38.189
verified: no, type: map_at_3
value: 33.733999999999995
verified: no, type: map_at_5
value: 35.287
verified: no, type: mrr_at_1
value: 33.904
verified: no, type: mrr_at_10
value: 42.55
verified: no, type: mrr_at_100
value: 43.434
verified: no, type: mrr_at_1000
value: 43.494
verified: no, type: mrr_at_3
value: 40.126
verified: no, type: mrr_at_5
value: 41.473
verified: no, type: ndcg_at_1
value: 33.904
verified: no, type: ndcg_at_10
value: 42.414
verified: no, type: ndcg_at_100
value: 48.203
verified: no, type: ndcg_at_1000
value: 50.437
verified: no, type: ndcg_at_3
value: 37.633
verified: no, type: ndcg_at_5
value: 39.67
verified: no, type: precision_at_1
value: 33.904
verified: no, type: precision_at_10
value: 7.82
verified: no, type: precision_at_100
value: 1.2409999999999999
verified: no, type: precision_at_1000
value: 0.159
verified: no, type: precision_at_3
value: 17.884
verified: no, type: precision_at_5
value: 12.648000000000001
verified: no, type: recall_at_1
value: 27.104
verified: no, type: recall_at_10
value: 53.563
verified: no, type: recall_at_100
value: 78.557
verified: no, type: recall_at_1000
value: 93.533
verified: no, type: recall_at_3
value: 39.92
verified: no, type: recall_at_5
value: 45.457
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.707749999999997
verified: no, type: map_at_10
value: 36.961
verified: no, type: map_at_100
value: 38.158833333333334
verified: no, type: map_at_1000
value: 38.270333333333326
verified: no, type: map_at_3
value: 34.07183333333334
verified: no, type: map_at_5
value: 35.69533333333334
verified: no, type: mrr_at_1
value: 32.81875
verified: no, type: mrr_at_10
value: 41.293
verified: no, type: mrr_at_100
value: 42.116499999999995
verified: no, type: mrr_at_1000
value: 42.170249999999996
verified: no, type: mrr_at_3
value: 38.83983333333333
verified: no, type: mrr_at_5
value: 40.29775
verified: no, type: ndcg_at_1
value: 32.81875
verified: no, type: ndcg_at_10
value: 42.355
verified: no, type: ndcg_at_100
value: 47.41374999999999
verified: no, type: ndcg_at_1000
value: 49.5805
verified: no, type: ndcg_at_3
value: 37.52825
verified: no, type: ndcg_at_5
value: 39.83266666666667
verified: no, type: precision_at_1
value: 32.81875
verified: no, type: precision_at_10
value: 7.382416666666666
verified: no, type: precision_at_100
value: 1.1640833333333334
verified: no, type: precision_at_1000
value: 0.15383333333333335
verified: no, type: precision_at_3
value: 17.134166666666665
verified: no, type: precision_at_5
value: 12.174833333333336
verified: no, type: recall_at_1
value: 27.707749999999997
verified: no, type: recall_at_10
value: 53.945
verified: no, type: recall_at_100
value: 76.191
verified: no, type: recall_at_1000
value: 91.101
verified: no, type: recall_at_3
value: 40.39083333333334
verified: no, type: recall_at_5
value: 46.40083333333333
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.482
verified: no, type: map_at_10
value: 33.201
verified: no, type: map_at_100
value: 34.107
verified: no, type: map_at_1000
value: 34.197
verified: no, type: map_at_3
value: 31.174000000000003
verified: no, type: map_at_5
value: 32.279
verified: no, type: mrr_at_1
value: 29.908
verified: no, type: mrr_at_10
value: 36.235
verified: no, type: mrr_at_100
value: 37.04
verified: no, type: mrr_at_1000
value: 37.105
verified: no, type: mrr_at_3
value: 34.355999999999995
verified: no, type: mrr_at_5
value: 35.382999999999996
verified: no, type: ndcg_at_1
value: 29.908
verified: no, type: ndcg_at_10
value: 37.325
verified: no, type: ndcg_at_100
value: 41.795
verified: no, type: ndcg_at_1000
value: 44.105
verified: no, type: ndcg_at_3
value: 33.555
verified: no, type: ndcg_at_5
value: 35.266999999999996
verified: no, type: precision_at_1
value: 29.908
verified: no, type: precision_at_10
value: 5.721
verified: no, type: precision_at_100
value: 0.8630000000000001
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 14.008000000000001
verified: no, type: precision_at_5
value: 9.754999999999999
verified: no, type: recall_at_1
value: 26.482
verified: no, type: recall_at_10
value: 47.072
verified: no, type: recall_at_100
value: 67.27
verified: no, type: recall_at_1000
value: 84.371
verified: no, type: recall_at_3
value: 36.65
verified: no, type: recall_at_5
value: 40.774
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.815
verified: no, type: map_at_10
value: 26.369999999999997
verified: no, type: map_at_100
value: 27.458
verified: no, type: map_at_1000
value: 27.588
verified: no, type: map_at_3
value: 23.990000000000002
verified: no, type: map_at_5
value: 25.345000000000002
verified: no, type: mrr_at_1
value: 22.953000000000003
verified: no, type: mrr_at_10
value: 30.342999999999996
verified: no, type: mrr_at_100
value: 31.241000000000003
verified: no, type: mrr_at_1000
value: 31.319000000000003
verified: no, type: mrr_at_3
value: 28.16
verified: no, type: mrr_at_5
value: 29.406
verified: no, type: ndcg_at_1
value: 22.953000000000003
verified: no, type: ndcg_at_10
value: 31.151
verified: no, type: ndcg_at_100
value: 36.309000000000005
verified: no, type: ndcg_at_1000
value: 39.227000000000004
verified: no, type: ndcg_at_3
value: 26.921
verified: no, type: ndcg_at_5
value: 28.938000000000002
verified: no, type: precision_at_1
value: 22.953000000000003
verified: no, type: precision_at_10
value: 5.602
verified: no, type: precision_at_100
value: 0.9530000000000001
verified: no, type: precision_at_1000
value: 0.13899999999999998
verified: no, type: precision_at_3
value: 12.606
verified: no, type: precision_at_5
value: 9.119
verified: no, type: recall_at_1
value: 18.815
verified: no, type: recall_at_10
value: 41.574
verified: no, type: recall_at_100
value: 64.84400000000001
verified: no, type: recall_at_1000
value: 85.406
verified: no, type: recall_at_3
value: 29.694
verified: no, type: recall_at_5
value: 34.935
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.840999999999998
verified: no, type: map_at_10
value: 36.797999999999995
verified: no, type: map_at_100
value: 37.993
verified: no, type: map_at_1000
value: 38.086999999999996
verified: no, type: map_at_3
value: 34.050999999999995
verified: no, type: map_at_5
value: 35.379
verified: no, type: mrr_at_1
value: 32.649
verified: no, type: mrr_at_10
value: 41.025
verified: no, type: mrr_at_100
value: 41.878
verified: no, type: mrr_at_1000
value: 41.929
verified: no, type: mrr_at_3
value: 38.573
verified: no, type: mrr_at_5
value: 39.715
verified: no, type: ndcg_at_1
value: 32.649
verified: no, type: ndcg_at_10
value: 42.142
verified: no, type: ndcg_at_100
value: 47.558
verified: no, type: ndcg_at_1000
value: 49.643
verified: no, type: ndcg_at_3
value: 37.12
verified: no, type: ndcg_at_5
value: 38.983000000000004
verified: no, type: precision_at_1
value: 32.649
verified: no, type: precision_at_10
value: 7.08
verified: no, type: precision_at_100
value: 1.1039999999999999
verified: no, type: precision_at_1000
value: 0.13899999999999998
verified: no, type: precision_at_3
value: 16.698
verified: no, type: precision_at_5
value: 11.511000000000001
verified: no, type: recall_at_1
value: 27.840999999999998
verified: no, type: recall_at_10
value: 54.245
verified: no, type: recall_at_100
value: 77.947
verified: no, type: recall_at_1000
value: 92.36999999999999
verified: no, type: recall_at_3
value: 40.146
verified: no, type: recall_at_5
value: 44.951
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.529000000000003
verified: no, type: map_at_10
value: 35.010000000000005
verified: no, type: map_at_100
value: 36.647
verified: no, type: map_at_1000
value: 36.857
verified: no, type: map_at_3
value: 31.968000000000004
verified: no, type: map_at_5
value: 33.554
verified: no, type: mrr_at_1
value: 31.818
verified: no, type: mrr_at_10
value: 39.550999999999995
verified: no, type: mrr_at_100
value: 40.54
verified: no, type: mrr_at_1000
value: 40.596
verified: no, type: mrr_at_3
value: 36.726
verified: no, type: mrr_at_5
value: 38.416
verified: no, type: ndcg_at_1
value: 31.818
verified: no, type: ndcg_at_10
value: 40.675
verified: no, type: ndcg_at_100
value: 46.548
verified: no, type: ndcg_at_1000
value: 49.126
verified: no, type: ndcg_at_3
value: 35.829
verified: no, type: ndcg_at_5
value: 38
verified: no, type: precision_at_1
value: 31.818
verified: no, type: precision_at_10
value: 7.826
verified: no, type: precision_at_100
value: 1.538
verified: no, type: precision_at_1000
value: 0.24
verified: no, type: precision_at_3
value: 16.601
verified: no, type: precision_at_5
value: 12.095
verified: no, type: recall_at_1
value: 26.529000000000003
verified: no, type: recall_at_10
value: 51.03
verified: no, type: recall_at_100
value: 77.556
verified: no, type: recall_at_1000
value: 93.804
verified: no, type: recall_at_3
value: 36.986000000000004
verified: no, type: recall_at_5
value: 43.096000000000004
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.480999999999998
verified: no, type: map_at_10
value: 30.817
verified: no, type: map_at_100
value: 31.838
verified: no, type: map_at_1000
value: 31.932
verified: no, type: map_at_3
value: 28.011999999999997
verified: no, type: map_at_5
value: 29.668
verified: no, type: mrr_at_1
value: 25.323
verified: no, type: mrr_at_10
value: 33.072
verified: no, type: mrr_at_100
value: 33.926
verified: no, type: mrr_at_1000
value: 33.993
verified: no, type: mrr_at_3
value: 30.436999999999998
verified: no, type: mrr_at_5
value: 32.092
verified: no, type: ndcg_at_1
value: 25.323
verified: no, type: ndcg_at_10
value: 35.514
verified: no, type: ndcg_at_100
value: 40.489000000000004
verified: no, type: ndcg_at_1000
value: 42.908
verified: no, type: ndcg_at_3
value: 30.092000000000002
verified: no, type: ndcg_at_5
value: 32.989000000000004
verified: no, type: precision_at_1
value: 25.323
verified: no, type: precision_at_10
value: 5.545
verified: no, type: precision_at_100
value: 0.861
verified: no, type: precision_at_1000
value: 0.117
verified: no, type: precision_at_3
value: 12.446
verified: no, type: precision_at_5
value: 9.131
verified: no, type: recall_at_1
value: 23.480999999999998
verified: no, type: recall_at_10
value: 47.825
verified: no, type: recall_at_100
value: 70.652
verified: no, type: recall_at_1000
value: 88.612
verified: no, type: recall_at_3
value: 33.537
verified: no, type: recall_at_5
value: 40.542
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 13.333999999999998
verified: no, type: map_at_10
value: 22.524
verified: no, type: map_at_100
value: 24.506
verified: no, type: map_at_1000
value: 24.715
verified: no, type: map_at_3
value: 19.022
verified: no, type: map_at_5
value: 20.693
verified: no, type: mrr_at_1
value: 29.186
verified: no, type: mrr_at_10
value: 41.22
verified: no, type: mrr_at_100
value: 42.16
verified: no, type: mrr_at_1000
value: 42.192
verified: no, type: mrr_at_3
value: 38.013000000000005
verified: no, type: mrr_at_5
value: 39.704
verified: no, type: ndcg_at_1
value: 29.186
verified: no, type: ndcg_at_10
value: 31.167
verified: no, type: ndcg_at_100
value: 38.879000000000005
verified: no, type: ndcg_at_1000
value: 42.376000000000005
verified: no, type: ndcg_at_3
value: 25.817
verified: no, type: ndcg_at_5
value: 27.377000000000002
verified: no, type: precision_at_1
value: 29.186
verified: no, type: precision_at_10
value: 9.693999999999999
verified: no, type: precision_at_100
value: 1.8030000000000002
verified: no, type: precision_at_1000
value: 0.246
verified: no, type: precision_at_3
value: 19.11
verified: no, type: precision_at_5
value: 14.344999999999999
verified: no, type: recall_at_1
value: 13.333999999999998
verified: no, type: recall_at_10
value: 37.092000000000006
verified: no, type: recall_at_100
value: 63.651
verified: no, type: recall_at_1000
value: 83.05
verified: no, type: recall_at_3
value: 23.74
verified: no, type: recall_at_5
value: 28.655
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 9.151
verified: no, type: map_at_10
value: 19.653000000000002
verified: no, type: map_at_100
value: 28.053
verified: no, type: map_at_1000
value: 29.709000000000003
verified: no, type: map_at_3
value: 14.191
verified: no, type: map_at_5
value: 16.456
verified: no, type: mrr_at_1
value: 66.25
verified: no, type: mrr_at_10
value: 74.4
verified: no, type: mrr_at_100
value: 74.715
verified: no, type: mrr_at_1000
value: 74.726
verified: no, type: mrr_at_3
value: 72.417
verified: no, type: mrr_at_5
value: 73.667
verified: no, type: ndcg_at_1
value: 54.25
verified: no, type: ndcg_at_10
value: 40.77
verified: no, type: ndcg_at_100
value: 46.359
verified: no, type: ndcg_at_1000
value: 54.193000000000005
verified: no, type: ndcg_at_3
value: 44.832
verified: no, type: ndcg_at_5
value: 42.63
verified: no, type: precision_at_1
value: 66.25
verified: no, type: precision_at_10
value: 32.175
verified: no, type: precision_at_100
value: 10.668
verified: no, type: precision_at_1000
value: 2.067
verified: no, type: precision_at_3
value: 47.667
verified: no, type: precision_at_5
value: 41.3
verified: no, type: recall_at_1
value: 9.151
verified: no, type: recall_at_10
value: 25.003999999999998
verified: no, type: recall_at_100
value: 52.976
verified: no, type: recall_at_1000
value: 78.315
verified: no, type: recall_at_3
value: 15.487
verified: no, type: recall_at_5
value: 18.999
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 51.89999999999999
verified: no, type: f1
value: 46.47777925067403
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 73.706
verified: no, type: map_at_10
value: 82.423
verified: no, type: map_at_100
value: 82.67999999999999
verified: no, type: map_at_1000
value: 82.694
verified: no, type: map_at_3
value: 81.328
verified: no, type: map_at_5
value: 82.001
verified: no, type: mrr_at_1
value: 79.613
verified: no, type: mrr_at_10
value: 87.07000000000001
verified: no, type: mrr_at_100
value: 87.169
verified: no, type: mrr_at_1000
value: 87.17
verified: no, type: mrr_at_3
value: 86.404
verified: no, type: mrr_at_5
value: 86.856
verified: no, type: ndcg_at_1
value: 79.613
verified: no, type: ndcg_at_10
value: 86.289
verified: no, type: ndcg_at_100
value: 87.201
verified: no, type: ndcg_at_1000
value: 87.428
verified: no, type: ndcg_at_3
value: 84.625
verified: no, type: ndcg_at_5
value: 85.53699999999999
verified: no, type: precision_at_1
value: 79.613
verified: no, type: precision_at_10
value: 10.399
verified: no, type: precision_at_100
value: 1.1079999999999999
verified: no, type: precision_at_1000
value: 0.11499999999999999
verified: no, type: precision_at_3
value: 32.473
verified: no, type: precision_at_5
value: 20.132
verified: no, type: recall_at_1
value: 73.706
verified: no, type: recall_at_10
value: 93.559
verified: no, type: recall_at_100
value: 97.188
verified: no, type: recall_at_1000
value: 98.555
verified: no, type: recall_at_3
value: 88.98700000000001
verified: no, type: recall_at_5
value: 91.373
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 19.841
verified: no, type: map_at_10
value: 32.643
verified: no, type: map_at_100
value: 34.575
verified: no, type: map_at_1000
value: 34.736
verified: no, type: map_at_3
value: 28.317999999999998
verified: no, type: map_at_5
value: 30.964000000000002
verified: no, type: mrr_at_1
value: 39.660000000000004
verified: no, type: mrr_at_10
value: 48.620000000000005
verified: no, type: mrr_at_100
value: 49.384
verified: no, type: mrr_at_1000
value: 49.415
verified: no, type: mrr_at_3
value: 45.988
verified: no, type: mrr_at_5
value: 47.361
verified: no, type: ndcg_at_1
value: 39.660000000000004
verified: no, type: ndcg_at_10
value: 40.646
verified: no, type: ndcg_at_100
value: 47.657
verified: no, type: ndcg_at_1000
value: 50.428
verified: no, type: ndcg_at_3
value: 36.689
verified: no, type: ndcg_at_5
value: 38.211
verified: no, type: precision_at_1
value: 39.660000000000004
verified: no, type: precision_at_10
value: 11.235000000000001
verified: no, type: precision_at_100
value: 1.8530000000000002
verified: no, type: precision_at_1000
value: 0.23600000000000002
verified: no, type: precision_at_3
value: 24.587999999999997
verified: no, type: precision_at_5
value: 18.395
verified: no, type: recall_at_1
value: 19.841
verified: no, type: recall_at_10
value: 48.135
verified: no, type: recall_at_100
value: 74.224
verified: no, type: recall_at_1000
value: 90.826
verified: no, type: recall_at_3
value: 33.536
verified: no, type: recall_at_5
value: 40.311
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 40.358
verified: no, type: map_at_10
value: 64.497
verified: no, type: map_at_100
value: 65.362
verified: no, type: map_at_1000
value: 65.41900000000001
verified: no, type: map_at_3
value: 61.06700000000001
verified: no, type: map_at_5
value: 63.317
verified: no, type: mrr_at_1
value: 80.716
verified: no, type: mrr_at_10
value: 86.10799999999999
verified: no, type: mrr_at_100
value: 86.265
verified: no, type: mrr_at_1000
value: 86.27
verified: no, type: mrr_at_3
value: 85.271
verified: no, type: mrr_at_5
value: 85.82499999999999
verified: no, type: ndcg_at_1
value: 80.716
verified: no, type: ndcg_at_10
value: 72.597
verified: no, type: ndcg_at_100
value: 75.549
verified: no, type: ndcg_at_1000
value: 76.61
verified: no, type: ndcg_at_3
value: 67.874
verified: no, type: ndcg_at_5
value: 70.655
verified: no, type: precision_at_1
value: 80.716
verified: no, type: precision_at_10
value: 15.148
verified: no, type: precision_at_100
value: 1.745
verified: no, type: precision_at_1000
value: 0.188
verified: no, type: precision_at_3
value: 43.597
verified: no, type: precision_at_5
value: 28.351
verified: no, type: recall_at_1
value: 40.358
verified: no, type: recall_at_10
value: 75.739
verified: no, type: recall_at_100
value: 87.259
verified: no, type: recall_at_1000
value: 94.234
verified: no, type: recall_at_3
value: 65.39500000000001
verified: no, type: recall_at_5
value: 70.878
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 90.80799999999998
verified: no, type: ap
value: 86.81350378180757
verified: no, type: f1
value: 90.79901248314215
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 22.096
verified: no, type: map_at_10
value: 34.384
verified: no, type: map_at_100
value: 35.541
verified: no, type: map_at_1000
value: 35.589999999999996
verified: no, type: map_at_3
value: 30.496000000000002
verified: no, type: map_at_5
value: 32.718
verified: no, type: mrr_at_1
value: 22.750999999999998
verified: no, type: mrr_at_10
value: 35.024
verified: no, type: mrr_at_100
value: 36.125
verified: no, type: mrr_at_1000
value: 36.168
verified: no, type: mrr_at_3
value: 31.225
verified: no, type: mrr_at_5
value: 33.416000000000004
verified: no, type: ndcg_at_1
value: 22.750999999999998
verified: no, type: ndcg_at_10
value: 41.351
verified: no, type: ndcg_at_100
value: 46.92
verified: no, type: ndcg_at_1000
value: 48.111
verified: no, type: ndcg_at_3
value: 33.439
verified: no, type: ndcg_at_5
value: 37.407000000000004
verified: no, type: precision_at_1
value: 22.750999999999998
verified: no, type: precision_at_10
value: 6.564
verified: no, type: precision_at_100
value: 0.935
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 14.288
verified: no, type: precision_at_5
value: 10.581999999999999
verified: no, type: recall_at_1
value: 22.096
verified: no, type: recall_at_10
value: 62.771
verified: no, type: recall_at_100
value: 88.529
verified: no, type: recall_at_1000
value: 97.55
verified: no, type: recall_at_3
value: 41.245
verified: no, type: recall_at_5
value: 50.788
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 94.16780665754673
verified: no, type: f1
value: 93.96331194859894
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 76.90606475148198
verified: no, type: f1
value: 58.58344986604187
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: 76.14660390047075
verified: no, type: f1
value: 74.31533923533614
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: 80.16139878950908
verified: no, type: f1
value: 80.18532656824924
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: 32.949880906135085
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: 31.56300351524862
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.196521894371315
verified: no, type: mrr
value: 32.22644231694389
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 6.783
verified: no, type: map_at_10
value: 14.549000000000001
verified: no, type: map_at_100
value: 18.433
verified: no, type: map_at_1000
value: 19.949
verified: no, type: map_at_3
value: 10.936
verified: no, type: map_at_5
value: 12.514
verified: no, type: mrr_at_1
value: 47.368
verified: no, type: mrr_at_10
value: 56.42
verified: no, type: mrr_at_100
value: 56.908
verified: no, type: mrr_at_1000
value: 56.95
verified: no, type: mrr_at_3
value: 54.283
verified: no, type: mrr_at_5
value: 55.568
verified: no, type: ndcg_at_1
value: 45.666000000000004
verified: no, type: ndcg_at_10
value: 37.389
verified: no, type: ndcg_at_100
value: 34.253
verified: no, type: ndcg_at_1000
value: 43.059999999999995
verified: no, type: ndcg_at_3
value: 42.725
verified: no, type: ndcg_at_5
value: 40.193
verified: no, type: precision_at_1
value: 47.368
verified: no, type: precision_at_10
value: 27.988000000000003
verified: no, type: precision_at_100
value: 8.672
verified: no, type: precision_at_1000
value: 2.164
verified: no, type: precision_at_3
value: 40.248
verified: no, type: precision_at_5
value: 34.737
verified: no, type: recall_at_1
value: 6.783
verified: no, type: recall_at_10
value: 17.838
verified: no, type: recall_at_100
value: 33.672000000000004
verified: no, type: recall_at_1000
value: 66.166
verified: no, type: recall_at_3
value: 11.849
verified: no, type: recall_at_5
value: 14.205000000000002
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.698999999999998
verified: no, type: map_at_10
value: 46.556
verified: no, type: map_at_100
value: 47.652
verified: no, type: map_at_1000
value: 47.68
verified: no, type: map_at_3
value: 42.492000000000004
verified: no, type: map_at_5
value: 44.763999999999996
verified: no, type: mrr_at_1
value: 35.747
verified: no, type: mrr_at_10
value: 49.242999999999995
verified: no, type: mrr_at_100
value: 50.052
verified: no, type: mrr_at_1000
value: 50.068
verified: no, type: mrr_at_3
value: 45.867000000000004
verified: no, type: mrr_at_5
value: 47.778999999999996
verified: no, type: ndcg_at_1
value: 35.717999999999996
verified: no, type: ndcg_at_10
value: 54.14600000000001
verified: no, type: ndcg_at_100
value: 58.672999999999995
verified: no, type: ndcg_at_1000
value: 59.279
verified: no, type: ndcg_at_3
value: 46.407
verified: no, type: ndcg_at_5
value: 50.181
verified: no, type: precision_at_1
value: 35.717999999999996
verified: no, type: precision_at_10
value: 8.844000000000001
verified: no, type: precision_at_100
value: 1.139
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 20.993000000000002
verified: no, type: precision_at_5
value: 14.791000000000002
verified: no, type: recall_at_1
value: 31.698999999999998
verified: no, type: recall_at_10
value: 74.693
verified: no, type: recall_at_100
value: 94.15299999999999
verified: no, type: recall_at_1000
value: 98.585
verified: no, type: recall_at_3
value: 54.388999999999996
verified: no, type: recall_at_5
value: 63.08200000000001
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 71.283
verified: no, type: map_at_10
value: 85.24000000000001
verified: no, type: map_at_100
value: 85.882
verified: no, type: map_at_1000
value: 85.897
verified: no, type: map_at_3
value: 82.326
verified: no, type: map_at_5
value: 84.177
verified: no, type: mrr_at_1
value: 82.21000000000001
verified: no, type: mrr_at_10
value: 88.228
verified: no, type: mrr_at_100
value: 88.32
verified: no, type: mrr_at_1000
value: 88.32
verified: no, type: mrr_at_3
value: 87.323
verified: no, type: mrr_at_5
value: 87.94800000000001
verified: no, type: ndcg_at_1
value: 82.17999999999999
verified: no, type: ndcg_at_10
value: 88.9
verified: no, type: ndcg_at_100
value: 90.079
verified: no, type: ndcg_at_1000
value: 90.158
verified: no, type: ndcg_at_3
value: 86.18299999999999
verified: no, type: ndcg_at_5
value: 87.71799999999999
verified: no, type: precision_at_1
value: 82.17999999999999
verified: no, type: precision_at_10
value: 13.464
verified: no, type: precision_at_100
value: 1.533
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.693
verified: no, type: precision_at_5
value: 24.792
verified: no, type: recall_at_1
value: 71.283
verified: no, type: recall_at_10
value: 95.742
verified: no, type: recall_at_100
value: 99.67200000000001
verified: no, type: recall_at_1000
value: 99.981
verified: no, type: recall_at_3
value: 87.888
verified: no, type: recall_at_5
value: 92.24
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 56.24267063669042
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: 62.88056988932578
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.903
verified: no, type: map_at_10
value: 13.202
verified: no, type: map_at_100
value: 15.5
verified: no, type: map_at_1000
value: 15.870999999999999
verified: no, type: map_at_3
value: 9.407
verified: no, type: map_at_5
value: 11.238
verified: no, type: mrr_at_1
value: 24.2
verified: no, type: mrr_at_10
value: 35.867
verified: no, type: mrr_at_100
value: 37.001
verified: no, type: mrr_at_1000
value: 37.043
verified: no, type: mrr_at_3
value: 32.5
verified: no, type: mrr_at_5
value: 34.35
verified: no, type: ndcg_at_1
value: 24.2
verified: no, type: ndcg_at_10
value: 21.731
verified: no, type: ndcg_at_100
value: 30.7
verified: no, type: ndcg_at_1000
value: 36.618
verified: no, type: ndcg_at_3
value: 20.72
verified: no, type: ndcg_at_5
value: 17.954
verified: no, type: precision_at_1
value: 24.2
verified: no, type: precision_at_10
value: 11.33
verified: no, type: precision_at_100
value: 2.4410000000000003
verified: no, type: precision_at_1000
value: 0.386
verified: no, type: precision_at_3
value: 19.667
verified: no, type: precision_at_5
value: 15.86
verified: no, type: recall_at_1
value: 4.903
verified: no, type: recall_at_10
value: 22.962
verified: no, type: recall_at_100
value: 49.563
verified: no, type: recall_at_1000
value: 78.238
verified: no, type: recall_at_3
value: 11.953
verified: no, type: recall_at_5
value: 16.067999999999998
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: 84.12694254604078
verified: no, type: cos_sim_spearman
value: 80.30141815181918
verified: no, type: euclidean_pearson
value: 81.34015449877128
verified: no, type: euclidean_spearman
value: 80.13984197010849
verified: no, type: manhattan_pearson
value: 81.31767068124086
verified: no, type: manhattan_spearman
value: 80.11720513114103
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: 86.13112984010417
verified: no, type: cos_sim_spearman
value: 78.03063573402875
verified: no, type: euclidean_pearson
value: 83.51928418844804
verified: no, type: euclidean_spearman
value: 78.4045235411144
verified: no, type: manhattan_pearson
value: 83.49981637388689
verified: no, type: manhattan_spearman
value: 78.4042575139372
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: 82.50327987379504
verified: no, type: cos_sim_spearman
value: 84.18556767756205
verified: no, type: euclidean_pearson
value: 82.69684424327679
verified: no, type: euclidean_spearman
value: 83.5368106038335
verified: no, type: manhattan_pearson
value: 82.57967581007374
verified: no, type: manhattan_spearman
value: 83.43009053133697
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: 82.50756863007814
verified: no, type: cos_sim_spearman
value: 82.27204331279108
verified: no, type: euclidean_pearson
value: 81.39535251429741
verified: no, type: euclidean_spearman
value: 81.84386626336239
verified: no, type: manhattan_pearson
value: 81.34281737280695
verified: no, type: manhattan_spearman
value: 81.81149375673166
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: 86.8727714856726
verified: no, type: cos_sim_spearman
value: 87.95738287792312
verified: no, type: euclidean_pearson
value: 86.62920602795887
verified: no, type: euclidean_spearman
value: 87.05207355381243
verified: no, type: manhattan_pearson
value: 86.53587918472225
verified: no, type: manhattan_spearman
value: 86.95382961029586
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: 83.52240359769479
verified: no, type: cos_sim_spearman
value: 85.47685776238286
verified: no, type: euclidean_pearson
value: 84.25815333483058
verified: no, type: euclidean_spearman
value: 85.27415639683198
verified: no, type: manhattan_pearson
value: 84.29127757025637
verified: no, type: manhattan_spearman
value: 85.30226224917351
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: 86.42501708915708
verified: no, type: cos_sim_spearman
value: 86.42276182795041
verified: no, type: euclidean_pearson
value: 86.5408207354761
verified: no, type: euclidean_spearman
value: 85.46096321750838
verified: no, type: manhattan_pearson
value: 86.54177303026881
verified: no, type: manhattan_spearman
value: 85.50313151916117
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: 64.86521089250766
verified: no, type: cos_sim_spearman
value: 65.94868540323003
verified: no, type: euclidean_pearson
value: 67.16569626533084
verified: no, type: euclidean_spearman
value: 66.37667004134917
verified: no, type: manhattan_pearson
value: 67.1482365102333
verified: no, type: manhattan_spearman
value: 66.53240122580029
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: 84.64746265365318
verified: no, type: cos_sim_spearman
value: 86.41888825906786
verified: no, type: euclidean_pearson
value: 85.27453642725811
verified: no, type: euclidean_spearman
value: 85.94095796602544
verified: no, type: manhattan_pearson
value: 85.28643660505334
verified: no, type: manhattan_spearman
value: 85.95028003260744
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 87.48903153618527
verified: no, type: mrr
value: 96.41081503826601
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 58.594
verified: no, type: map_at_10
value: 69.296
verified: no, type: map_at_100
value: 69.782
verified: no, type: map_at_1000
value: 69.795
verified: no, type: map_at_3
value: 66.23
verified: no, type: map_at_5
value: 68.293
verified: no, type: mrr_at_1
value: 61.667
verified: no, type: mrr_at_10
value: 70.339
verified: no, type: mrr_at_100
value: 70.708
verified: no, type: mrr_at_1000
value: 70.722
verified: no, type: mrr_at_3
value: 68
verified: no, type: mrr_at_5
value: 69.56700000000001
verified: no, type: ndcg_at_1
value: 61.667
verified: no, type: ndcg_at_10
value: 74.039
verified: no, type: ndcg_at_100
value: 76.103
verified: no, type: ndcg_at_1000
value: 76.47800000000001
verified: no, type: ndcg_at_3
value: 68.967
verified: no, type: ndcg_at_5
value: 71.96900000000001
verified: no, type: precision_at_1
value: 61.667
verified: no, type: precision_at_10
value: 9.866999999999999
verified: no, type: precision_at_100
value: 1.097
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 27.111
verified: no, type: precision_at_5
value: 18.2
verified: no, type: recall_at_1
value: 58.594
verified: no, type: recall_at_10
value: 87.422
verified: no, type: recall_at_100
value: 96.667
verified: no, type: recall_at_1000
value: 99.667
verified: no, type: recall_at_3
value: 74.217
verified: no, type: recall_at_5
value: 81.539
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: 99.85049504950496
verified: no, type: cos_sim_ap
value: 96.33111544137081
verified: no, type: cos_sim_f1
value: 92.35443037974684
verified: no, type: cos_sim_precision
value: 93.53846153846153
verified: no, type: cos_sim_recall
value: 91.2
verified: no, type: dot_accuracy
value: 99.82376237623762
verified: no, type: dot_ap
value: 95.38082527310888
verified: no, type: dot_f1
value: 90.90909090909092
verified: no, type: dot_precision
value: 92.90187891440502
verified: no, type: dot_recall
value: 89
verified: no, type: euclidean_accuracy
value: 99.84851485148515
verified: no, type: euclidean_ap
value: 96.32316003996347
verified: no, type: euclidean_f1
value: 92.2071392659628
verified: no, type: euclidean_precision
value: 92.71991911021233
verified: no, type: euclidean_recall
value: 91.7
verified: no, type: manhattan_accuracy
value: 99.84851485148515
verified: no, type: manhattan_ap
value: 96.3655668249217
verified: no, type: manhattan_f1
value: 92.18356026222895
verified: no, type: manhattan_precision
value: 92.98067141403867
verified: no, type: manhattan_recall
value: 91.4
verified: no, type: max_accuracy
value: 99.85049504950496
verified: no, type: max_ap
value: 96.3655668249217
verified: no, type: max_f1
value: 92.35443037974684
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 65.94861371629051
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: 35.009430451385
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 54.61164066427969
verified: no, type: mrr
value: 55.49710603938544
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 30.622620124907662
verified: no, type: cos_sim_spearman
value: 31.0678351356163
verified: no, type: dot_pearson
value: 30.863727693306814
verified: no, type: dot_spearman
value: 31.230306567021255
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.22
verified: no, type: map_at_10
value: 2.011
verified: no, type: map_at_100
value: 10.974
verified: no, type: map_at_1000
value: 25.819
verified: no, type: map_at_3
value: 0.6649999999999999
verified: no, type: map_at_5
value: 1.076
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: 82
verified: no, type: ndcg_at_10
value: 78.07300000000001
verified: no, type: ndcg_at_100
value: 58.231
verified: no, type: ndcg_at_1000
value: 51.153000000000006
verified: no, type: ndcg_at_3
value: 81.123
verified: no, type: ndcg_at_5
value: 81.059
verified: no, type: precision_at_1
value: 86
verified: no, type: precision_at_10
value: 83
verified: no, type: precision_at_100
value: 59.38
verified: no, type: precision_at_1000
value: 22.55
verified: no, type: precision_at_3
value: 87.333
verified: no, type: precision_at_5
value: 86.8
verified: no, type: recall_at_1
value: 0.22
verified: no, type: recall_at_10
value: 2.2079999999999997
verified: no, type: recall_at_100
value: 14.069
verified: no, type: recall_at_1000
value: 47.678
verified: no, type: recall_at_3
value: 0.7040000000000001
verified: no, type: recall_at_5
value: 1.161
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.809
verified: no, type: map_at_10
value: 10.394
verified: no, type: map_at_100
value: 16.598
verified: no, type: map_at_1000
value: 18.142
verified: no, type: map_at_3
value: 5.572
verified: no, type: map_at_5
value: 7.1370000000000005
verified: no, type: mrr_at_1
value: 32.653
verified: no, type: mrr_at_10
value: 46.564
verified: no, type: mrr_at_100
value: 47.469
verified: no, type: mrr_at_1000
value: 47.469
verified: no, type: mrr_at_3
value: 42.177
verified: no, type: mrr_at_5
value: 44.524
verified: no, type: ndcg_at_1
value: 30.612000000000002
verified: no, type: ndcg_at_10
value: 25.701
verified: no, type: ndcg_at_100
value: 37.532
verified: no, type: ndcg_at_1000
value: 48.757
verified: no, type: ndcg_at_3
value: 28.199999999999996
verified: no, type: ndcg_at_5
value: 25.987
verified: no, type: precision_at_1
value: 32.653
verified: no, type: precision_at_10
value: 23.469
verified: no, type: precision_at_100
value: 7.9799999999999995
verified: no, type: precision_at_1000
value: 1.5350000000000001
verified: no, type: precision_at_3
value: 29.932
verified: no, type: precision_at_5
value: 26.122
verified: no, type: recall_at_1
value: 2.809
verified: no, type: recall_at_10
value: 16.887
verified: no, type: recall_at_100
value: 48.67
verified: no, type: recall_at_1000
value: 82.89699999999999
verified: no, type: recall_at_3
value: 6.521000000000001
verified: no, type: recall_at_5
value: 9.609
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 71.57860000000001
verified: no, type: ap
value: 13.82629211536393
verified: no, type: f1
value: 54.59860966183956
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 59.38030560271647
verified: no, type: f1
value: 59.69685552567865
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 51.4736717043405
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: 86.92853311080646
verified: no, type: cos_sim_ap
value: 77.67872502591382
verified: no, type: cos_sim_f1
value: 70.33941236068895
verified: no, type: cos_sim_precision
value: 67.63273258645884
verified: no, type: cos_sim_recall
value: 73.27176781002639
verified: no, type: dot_accuracy
value: 85.79603027954938
verified: no, type: dot_ap
value: 73.73786190233379
verified: no, type: dot_f1
value: 67.3437901774235
verified: no, type: dot_precision
value: 65.67201604814443
verified: no, type: dot_recall
value: 69.10290237467018
verified: no, type: euclidean_accuracy
value: 86.94045419324074
verified: no, type: euclidean_ap
value: 77.6687791535167
verified: no, type: euclidean_f1
value: 70.47209214023542
verified: no, type: euclidean_precision
value: 67.7207492094381
verified: no, type: euclidean_recall
value: 73.45646437994723
verified: no, type: manhattan_accuracy
value: 86.87488823985218
verified: no, type: manhattan_ap
value: 77.63373392430728
verified: no, type: manhattan_f1
value: 70.40920716112532
verified: no, type: manhattan_precision
value: 68.31265508684864
verified: no, type: manhattan_recall
value: 72.63852242744063
verified: no, type: max_accuracy
value: 86.94045419324074
verified: no, type: max_ap
value: 77.67872502591382
verified: no, type: max_f1
value: 70.47209214023542
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: 88.67155664221679
verified: no, type: cos_sim_ap
value: 85.64591703003417
verified: no, type: cos_sim_f1
value: 77.59531005352656
verified: no, type: cos_sim_precision
value: 73.60967184801382
verified: no, type: cos_sim_recall
value: 82.03726516784724
verified: no, type: dot_accuracy
value: 88.41541506578181
verified: no, type: dot_ap
value: 84.6482788957769
verified: no, type: dot_f1
value: 77.04748541466657
verified: no, type: dot_precision
value: 74.02440754931176
verified: no, type: dot_recall
value: 80.3279950723745
verified: no, type: euclidean_accuracy
value: 88.63080684596576
verified: no, type: euclidean_ap
value: 85.44570045321562
verified: no, type: euclidean_f1
value: 77.28769403336106
verified: no, type: euclidean_precision
value: 72.90600040958427
verified: no, type: euclidean_recall
value: 82.22975053895904
verified: no, type: manhattan_accuracy
value: 88.59393798269105
verified: no, type: manhattan_ap
value: 85.40271361038187
verified: no, type: manhattan_f1
value: 77.17606419344392
verified: no, type: manhattan_precision
value: 72.4447747078295
verified: no, type: manhattan_recall
value: 82.5685247921158
verified: no, type: max_accuracy
value: 88.67155664221679
verified: no, type: max_ap
value: 85.64591703003417
verified: no, type: max_f1
value: 77.59531005352656
verified: no
license: mit
language: en
Likes: 0 | All-time downloads: 162
Created: 2023-10-09 13:33:58