Model: intfloat/e5-large-v2
Author: intfloat
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, onnx, safetensors, openvino, 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-large-v2
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 79.22388059701493
verified: no, type: ap
value: 43.20816505595132
verified: no, type: f1
value: 73.27811303522058
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 93.748325
verified: no, type: ap
value: 90.72534979701297
verified: no, type: f1
value: 93.73895874282185
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: 48.612
verified: no, type: f1
value: 47.61157345898393
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.541999999999998
verified: no, type: map_at_10
value: 38.208
verified: no, type: map_at_100
value: 39.417
verified: no, type: map_at_1000
value: 39.428999999999995
verified: no, type: map_at_3
value: 33.95
verified: no, type: map_at_5
value: 36.329
verified: no, type: mrr_at_1
value: 23.755000000000003
verified: no, type: mrr_at_10
value: 38.288
verified: no, type: mrr_at_100
value: 39.511
verified: no, type: mrr_at_1000
value: 39.523
verified: no, type: mrr_at_3
value: 34.009
verified: no, type: mrr_at_5
value: 36.434
verified: no, type: ndcg_at_1
value: 23.541999999999998
verified: no, type: ndcg_at_10
value: 46.417
verified: no, type: ndcg_at_100
value: 51.812000000000005
verified: no, type: ndcg_at_1000
value: 52.137
verified: no, type: ndcg_at_3
value: 37.528
verified: no, type: ndcg_at_5
value: 41.81
verified: no, type: precision_at_1
value: 23.541999999999998
verified: no, type: precision_at_10
value: 7.269
verified: no, type: precision_at_100
value: 0.9690000000000001
verified: no, type: precision_at_1000
value: 0.099
verified: no, type: precision_at_3
value: 15.979
verified: no, type: precision_at_5
value: 11.664
verified: no, type: recall_at_1
value: 23.541999999999998
verified: no, type: recall_at_10
value: 72.688
verified: no, type: recall_at_100
value: 96.871
verified: no, type: recall_at_1000
value: 99.431
verified: no, type: recall_at_3
value: 47.937000000000005
verified: no, type: recall_at_5
value: 58.321
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: 45.546499570522094
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: 41.01607489943561
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 59.616107510107774
verified: no, type: mrr
value: 72.75106626214661
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: 84.33018094733868
verified: no, type: cos_sim_spearman
value: 83.60190492611737
verified: no, type: euclidean_pearson
value: 82.1492450218961
verified: no, type: euclidean_spearman
value: 82.70308926526991
verified: no, type: manhattan_pearson
value: 81.93959600076842
verified: no, type: manhattan_spearman
value: 82.73260801016369
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 84.54545454545455
verified: no, type: f1
value: 84.49582530928923
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: 37.362725540120096
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: 34.849509608178145
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.502999999999997
verified: no, type: map_at_10
value: 43.323
verified: no, type: map_at_100
value: 44.708999999999996
verified: no, type: map_at_1000
value: 44.838
verified: no, type: map_at_3
value: 38.987
verified: no, type: map_at_5
value: 41.516999999999996
verified: no, type: mrr_at_1
value: 38.769999999999996
verified: no, type: mrr_at_10
value: 49.13
verified: no, type: mrr_at_100
value: 49.697
verified: no, type: mrr_at_1000
value: 49.741
verified: no, type: mrr_at_3
value: 45.804
verified: no, type: mrr_at_5
value: 47.842
verified: no, type: ndcg_at_1
value: 38.769999999999996
verified: no, type: ndcg_at_10
value: 50.266999999999996
verified: no, type: ndcg_at_100
value: 54.967
verified: no, type: ndcg_at_1000
value: 56.976000000000006
verified: no, type: ndcg_at_3
value: 43.823
verified: no, type: ndcg_at_5
value: 47.12
verified: no, type: precision_at_1
value: 38.769999999999996
verified: no, type: precision_at_10
value: 10.057
verified: no, type: precision_at_100
value: 1.554
verified: no, type: precision_at_1000
value: 0.202
verified: no, type: precision_at_3
value: 21.125
verified: no, type: precision_at_5
value: 15.851
verified: no, type: recall_at_1
value: 31.502999999999997
verified: no, type: recall_at_10
value: 63.715999999999994
verified: no, type: recall_at_100
value: 83.61800000000001
verified: no, type: recall_at_1000
value: 96.63199999999999
verified: no, type: recall_at_3
value: 45.403
verified: no, type: recall_at_5
value: 54.481
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.833000000000002
verified: no, type: map_at_10
value: 37.330999999999996
verified: no, type: map_at_100
value: 38.580999999999996
verified: no, type: map_at_1000
value: 38.708
verified: no, type: map_at_3
value: 34.713
verified: no, type: map_at_5
value: 36.104
verified: no, type: mrr_at_1
value: 35.223
verified: no, type: mrr_at_10
value: 43.419000000000004
verified: no, type: mrr_at_100
value: 44.198
verified: no, type: mrr_at_1000
value: 44.249
verified: no, type: mrr_at_3
value: 41.614000000000004
verified: no, type: mrr_at_5
value: 42.553000000000004
verified: no, type: ndcg_at_1
value: 35.223
verified: no, type: ndcg_at_10
value: 42.687999999999995
verified: no, type: ndcg_at_100
value: 47.447
verified: no, type: ndcg_at_1000
value: 49.701
verified: no, type: ndcg_at_3
value: 39.162
verified: no, type: ndcg_at_5
value: 40.557
verified: no, type: precision_at_1
value: 35.223
verified: no, type: precision_at_10
value: 7.962
verified: no, type: precision_at_100
value: 1.304
verified: no, type: precision_at_1000
value: 0.18
verified: no, type: precision_at_3
value: 19.023
verified: no, type: precision_at_5
value: 13.184999999999999
verified: no, type: recall_at_1
value: 27.833000000000002
verified: no, type: recall_at_10
value: 51.881
verified: no, type: recall_at_100
value: 72.04
verified: no, type: recall_at_1000
value: 86.644
verified: no, type: recall_at_3
value: 40.778
verified: no, type: recall_at_5
value: 45.176
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 38.175
verified: no, type: map_at_10
value: 51.174
verified: no, type: map_at_100
value: 52.26499999999999
verified: no, type: map_at_1000
value: 52.315999999999995
verified: no, type: map_at_3
value: 47.897
verified: no, type: map_at_5
value: 49.703
verified: no, type: mrr_at_1
value: 43.448
verified: no, type: mrr_at_10
value: 54.505
verified: no, type: mrr_at_100
value: 55.216
verified: no, type: mrr_at_1000
value: 55.242000000000004
verified: no, type: mrr_at_3
value: 51.98500000000001
verified: no, type: mrr_at_5
value: 53.434000000000005
verified: no, type: ndcg_at_1
value: 43.448
verified: no, type: ndcg_at_10
value: 57.282
verified: no, type: ndcg_at_100
value: 61.537
verified: no, type: ndcg_at_1000
value: 62.546
verified: no, type: ndcg_at_3
value: 51.73799999999999
verified: no, type: ndcg_at_5
value: 54.324
verified: no, type: precision_at_1
value: 43.448
verified: no, type: precision_at_10
value: 9.292
verified: no, type: precision_at_100
value: 1.233
verified: no, type: precision_at_1000
value: 0.136
verified: no, type: precision_at_3
value: 23.218
verified: no, type: precision_at_5
value: 15.887
verified: no, type: recall_at_1
value: 38.175
verified: no, type: recall_at_10
value: 72.00999999999999
verified: no, type: recall_at_100
value: 90.155
verified: no, type: recall_at_1000
value: 97.257
verified: no, type: recall_at_3
value: 57.133
verified: no, type: recall_at_5
value: 63.424
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.405
verified: no, type: map_at_10
value: 30.043
verified: no, type: map_at_100
value: 31.191000000000003
verified: no, type: map_at_1000
value: 31.275
verified: no, type: map_at_3
value: 27.034000000000002
verified: no, type: map_at_5
value: 28.688000000000002
verified: no, type: mrr_at_1
value: 24.068
verified: no, type: mrr_at_10
value: 31.993
verified: no, type: mrr_at_100
value: 32.992
verified: no, type: mrr_at_1000
value: 33.050000000000004
verified: no, type: mrr_at_3
value: 28.964000000000002
verified: no, type: mrr_at_5
value: 30.653000000000002
verified: no, type: ndcg_at_1
value: 24.068
verified: no, type: ndcg_at_10
value: 35.198
verified: no, type: ndcg_at_100
value: 40.709
verified: no, type: ndcg_at_1000
value: 42.855
verified: no, type: ndcg_at_3
value: 29.139
verified: no, type: ndcg_at_5
value: 32.045
verified: no, type: precision_at_1
value: 24.068
verified: no, type: precision_at_10
value: 5.65
verified: no, type: precision_at_100
value: 0.885
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 12.279
verified: no, type: precision_at_5
value: 8.994
verified: no, type: recall_at_1
value: 22.405
verified: no, type: recall_at_10
value: 49.391
verified: no, type: recall_at_100
value: 74.53699999999999
verified: no, type: recall_at_1000
value: 90.605
verified: no, type: recall_at_3
value: 33.126
verified: no, type: recall_at_5
value: 40.073
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 13.309999999999999
verified: no, type: map_at_10
value: 20.688000000000002
verified: no, type: map_at_100
value: 22.022
verified: no, type: map_at_1000
value: 22.152
verified: no, type: map_at_3
value: 17.954
verified: no, type: map_at_5
value: 19.439
verified: no, type: mrr_at_1
value: 16.294
verified: no, type: mrr_at_10
value: 24.479
verified: no, type: mrr_at_100
value: 25.515
verified: no, type: mrr_at_1000
value: 25.593
verified: no, type: mrr_at_3
value: 21.642
verified: no, type: mrr_at_5
value: 23.189999999999998
verified: no, type: ndcg_at_1
value: 16.294
verified: no, type: ndcg_at_10
value: 25.833000000000002
verified: no, type: ndcg_at_100
value: 32.074999999999996
verified: no, type: ndcg_at_1000
value: 35.083
verified: no, type: ndcg_at_3
value: 20.493
verified: no, type: ndcg_at_5
value: 22.949
verified: no, type: precision_at_1
value: 16.294
verified: no, type: precision_at_10
value: 5.112
verified: no, type: precision_at_100
value: 0.96
verified: no, type: precision_at_1000
value: 0.134
verified: no, type: precision_at_3
value: 9.908999999999999
verified: no, type: precision_at_5
value: 7.587000000000001
verified: no, type: recall_at_1
value: 13.309999999999999
verified: no, type: recall_at_10
value: 37.851
verified: no, type: recall_at_100
value: 64.835
verified: no, type: recall_at_1000
value: 86.334
verified: no, type: recall_at_3
value: 23.493
verified: no, type: recall_at_5
value: 29.528
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.857999999999997
verified: no, type: map_at_10
value: 35.503
verified: no, type: map_at_100
value: 36.957
verified: no, type: map_at_1000
value: 37.065
verified: no, type: map_at_3
value: 32.275999999999996
verified: no, type: map_at_5
value: 34.119
verified: no, type: mrr_at_1
value: 31.954
verified: no, type: mrr_at_10
value: 40.851
verified: no, type: mrr_at_100
value: 41.863
verified: no, type: mrr_at_1000
value: 41.900999999999996
verified: no, type: mrr_at_3
value: 38.129999999999995
verified: no, type: mrr_at_5
value: 39.737
verified: no, type: ndcg_at_1
value: 31.954
verified: no, type: ndcg_at_10
value: 41.343999999999994
verified: no, type: ndcg_at_100
value: 47.397
verified: no, type: ndcg_at_1000
value: 49.501
verified: no, type: ndcg_at_3
value: 36.047000000000004
verified: no, type: ndcg_at_5
value: 38.639
verified: no, type: precision_at_1
value: 31.954
verified: no, type: precision_at_10
value: 7.68
verified: no, type: precision_at_100
value: 1.247
verified: no, type: precision_at_1000
value: 0.16199999999999998
verified: no, type: precision_at_3
value: 17.132
verified: no, type: precision_at_5
value: 12.589
verified: no, type: recall_at_1
value: 25.857999999999997
verified: no, type: recall_at_10
value: 53.43599999999999
verified: no, type: recall_at_100
value: 78.82400000000001
verified: no, type: recall_at_1000
value: 92.78999999999999
verified: no, type: recall_at_3
value: 38.655
verified: no, type: recall_at_5
value: 45.216
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.709
verified: no, type: map_at_10
value: 34.318
verified: no, type: map_at_100
value: 35.657
verified: no, type: map_at_1000
value: 35.783
verified: no, type: map_at_3
value: 31.326999999999998
verified: no, type: map_at_5
value: 33.021
verified: no, type: mrr_at_1
value: 30.137000000000004
verified: no, type: mrr_at_10
value: 39.093
verified: no, type: mrr_at_100
value: 39.992
verified: no, type: mrr_at_1000
value: 40.056999999999995
verified: no, type: mrr_at_3
value: 36.606
verified: no, type: mrr_at_5
value: 37.861
verified: no, type: ndcg_at_1
value: 30.137000000000004
verified: no, type: ndcg_at_10
value: 39.974
verified: no, type: ndcg_at_100
value: 45.647999999999996
verified: no, type: ndcg_at_1000
value: 48.259
verified: no, type: ndcg_at_3
value: 35.028
verified: no, type: ndcg_at_5
value: 37.175999999999995
verified: no, type: precision_at_1
value: 30.137000000000004
verified: no, type: precision_at_10
value: 7.363
verified: no, type: precision_at_100
value: 1.184
verified: no, type: precision_at_1000
value: 0.161
verified: no, type: precision_at_3
value: 16.857
verified: no, type: precision_at_5
value: 11.963
verified: no, type: recall_at_1
value: 24.709
verified: no, type: recall_at_10
value: 52.087
verified: no, type: recall_at_100
value: 76.125
verified: no, type: recall_at_1000
value: 93.82300000000001
verified: no, type: recall_at_3
value: 38.149
verified: no, type: recall_at_5
value: 43.984
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.40791666666667
verified: no, type: map_at_10
value: 32.458083333333335
verified: no, type: map_at_100
value: 33.691916666666664
verified: no, type: map_at_1000
value: 33.81191666666666
verified: no, type: map_at_3
value: 29.51625
verified: no, type: map_at_5
value: 31.168083333333335
verified: no, type: mrr_at_1
value: 27.96591666666666
verified: no, type: mrr_at_10
value: 36.528583333333344
verified: no, type: mrr_at_100
value: 37.404
verified: no, type: mrr_at_1000
value: 37.464333333333336
verified: no, type: mrr_at_3
value: 33.92883333333333
verified: no, type: mrr_at_5
value: 35.41933333333333
verified: no, type: ndcg_at_1
value: 27.96591666666666
verified: no, type: ndcg_at_10
value: 37.89141666666666
verified: no, type: ndcg_at_100
value: 43.23066666666666
verified: no, type: ndcg_at_1000
value: 45.63258333333333
verified: no, type: ndcg_at_3
value: 32.811249999999994
verified: no, type: ndcg_at_5
value: 35.22566666666667
verified: no, type: precision_at_1
value: 27.96591666666666
verified: no, type: precision_at_10
value: 6.834083333333332
verified: no, type: precision_at_100
value: 1.12225
verified: no, type: precision_at_1000
value: 0.15241666666666667
verified: no, type: precision_at_3
value: 15.264333333333335
verified: no, type: precision_at_5
value: 11.039416666666666
verified: no, type: recall_at_1
value: 23.40791666666667
verified: no, type: recall_at_10
value: 49.927083333333336
verified: no, type: recall_at_100
value: 73.44641666666668
verified: no, type: recall_at_1000
value: 90.19950000000001
verified: no, type: recall_at_3
value: 35.88341666666667
verified: no, type: recall_at_5
value: 42.061249999999994
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 19.592000000000002
verified: no, type: map_at_10
value: 26.895999999999997
verified: no, type: map_at_100
value: 27.921000000000003
verified: no, type: map_at_1000
value: 28.02
verified: no, type: map_at_3
value: 24.883
verified: no, type: map_at_5
value: 25.812
verified: no, type: mrr_at_1
value: 22.698999999999998
verified: no, type: mrr_at_10
value: 29.520999999999997
verified: no, type: mrr_at_100
value: 30.458000000000002
verified: no, type: mrr_at_1000
value: 30.526999999999997
verified: no, type: mrr_at_3
value: 27.633000000000003
verified: no, type: mrr_at_5
value: 28.483999999999998
verified: no, type: ndcg_at_1
value: 22.698999999999998
verified: no, type: ndcg_at_10
value: 31.061
verified: no, type: ndcg_at_100
value: 36.398
verified: no, type: ndcg_at_1000
value: 38.89
verified: no, type: ndcg_at_3
value: 27.149
verified: no, type: ndcg_at_5
value: 28.627000000000002
verified: no, type: precision_at_1
value: 22.698999999999998
verified: no, type: precision_at_10
value: 5.106999999999999
verified: no, type: precision_at_100
value: 0.857
verified: no, type: precision_at_1000
value: 0.11499999999999999
verified: no, type: precision_at_3
value: 11.963
verified: no, type: precision_at_5
value: 8.221
verified: no, type: recall_at_1
value: 19.592000000000002
verified: no, type: recall_at_10
value: 41.329
verified: no, type: recall_at_100
value: 66.094
verified: no, type: recall_at_1000
value: 84.511
verified: no, type: recall_at_3
value: 30.61
verified: no, type: recall_at_5
value: 34.213
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 14.71
verified: no, type: map_at_10
value: 20.965
verified: no, type: map_at_100
value: 21.994
verified: no, type: map_at_1000
value: 22.133
verified: no, type: map_at_3
value: 18.741
verified: no, type: map_at_5
value: 19.951
verified: no, type: mrr_at_1
value: 18.307000000000002
verified: no, type: mrr_at_10
value: 24.66
verified: no, type: mrr_at_100
value: 25.540000000000003
verified: no, type: mrr_at_1000
value: 25.629
verified: no, type: mrr_at_3
value: 22.511
verified: no, type: mrr_at_5
value: 23.72
verified: no, type: ndcg_at_1
value: 18.307000000000002
verified: no, type: ndcg_at_10
value: 25.153
verified: no, type: ndcg_at_100
value: 30.229
verified: no, type: ndcg_at_1000
value: 33.623
verified: no, type: ndcg_at_3
value: 21.203
verified: no, type: ndcg_at_5
value: 23.006999999999998
verified: no, type: precision_at_1
value: 18.307000000000002
verified: no, type: precision_at_10
value: 4.725
verified: no, type: precision_at_100
value: 0.8659999999999999
verified: no, type: precision_at_1000
value: 0.133
verified: no, type: precision_at_3
value: 10.14
verified: no, type: precision_at_5
value: 7.481
verified: no, type: recall_at_1
value: 14.71
verified: no, type: recall_at_10
value: 34.087
verified: no, type: recall_at_100
value: 57.147999999999996
verified: no, type: recall_at_1000
value: 81.777
verified: no, type: recall_at_3
value: 22.996
verified: no, type: recall_at_5
value: 27.73
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.472
verified: no, type: map_at_10
value: 32.699
verified: no, type: map_at_100
value: 33.867000000000004
verified: no, type: map_at_1000
value: 33.967000000000006
verified: no, type: map_at_3
value: 29.718
verified: no, type: map_at_5
value: 31.345
verified: no, type: mrr_at_1
value: 28.265
verified: no, type: mrr_at_10
value: 36.945
verified: no, type: mrr_at_100
value: 37.794
verified: no, type: mrr_at_1000
value: 37.857
verified: no, type: mrr_at_3
value: 34.266000000000005
verified: no, type: mrr_at_5
value: 35.768
verified: no, type: ndcg_at_1
value: 28.265
verified: no, type: ndcg_at_10
value: 38.35
verified: no, type: ndcg_at_100
value: 43.739
verified: no, type: ndcg_at_1000
value: 46.087
verified: no, type: ndcg_at_3
value: 33.004
verified: no, type: ndcg_at_5
value: 35.411
verified: no, type: precision_at_1
value: 28.265
verified: no, type: precision_at_10
value: 6.715999999999999
verified: no, type: precision_at_100
value: 1.059
verified: no, type: precision_at_1000
value: 0.13799999999999998
verified: no, type: precision_at_3
value: 15.299
verified: no, type: precision_at_5
value: 10.951
verified: no, type: recall_at_1
value: 23.472
verified: no, type: recall_at_10
value: 51.413
verified: no, type: recall_at_100
value: 75.17
verified: no, type: recall_at_1000
value: 91.577
verified: no, type: recall_at_3
value: 36.651
verified: no, type: recall_at_5
value: 42.814
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.666
verified: no, type: map_at_10
value: 32.963
verified: no, type: map_at_100
value: 34.544999999999995
verified: no, type: map_at_1000
value: 34.792
verified: no, type: map_at_3
value: 29.74
verified: no, type: map_at_5
value: 31.5
verified: no, type: mrr_at_1
value: 29.051
verified: no, type: mrr_at_10
value: 38.013000000000005
verified: no, type: mrr_at_100
value: 38.997
verified: no, type: mrr_at_1000
value: 39.055
verified: no, type: mrr_at_3
value: 34.947
verified: no, type: mrr_at_5
value: 36.815
verified: no, type: ndcg_at_1
value: 29.051
verified: no, type: ndcg_at_10
value: 39.361000000000004
verified: no, type: ndcg_at_100
value: 45.186
verified: no, type: ndcg_at_1000
value: 47.867
verified: no, type: ndcg_at_3
value: 33.797
verified: no, type: ndcg_at_5
value: 36.456
verified: no, type: precision_at_1
value: 29.051
verified: no, type: precision_at_10
value: 7.668
verified: no, type: precision_at_100
value: 1.532
verified: no, type: precision_at_1000
value: 0.247
verified: no, type: precision_at_3
value: 15.876000000000001
verified: no, type: precision_at_5
value: 11.779
verified: no, type: recall_at_1
value: 23.666
verified: no, type: recall_at_10
value: 51.858000000000004
verified: no, type: recall_at_100
value: 77.805
verified: no, type: recall_at_1000
value: 94.504
verified: no, type: recall_at_3
value: 36.207
verified: no, type: recall_at_5
value: 43.094
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 15.662
verified: no, type: map_at_10
value: 23.594
verified: no, type: map_at_100
value: 24.593999999999998
verified: no, type: map_at_1000
value: 24.694
verified: no, type: map_at_3
value: 20.925
verified: no, type: map_at_5
value: 22.817999999999998
verified: no, type: mrr_at_1
value: 17.375
verified: no, type: mrr_at_10
value: 25.734
verified: no, type: mrr_at_100
value: 26.586
verified: no, type: mrr_at_1000
value: 26.671
verified: no, type: mrr_at_3
value: 23.044
verified: no, type: mrr_at_5
value: 24.975
verified: no, type: ndcg_at_1
value: 17.375
verified: no, type: ndcg_at_10
value: 28.186
verified: no, type: ndcg_at_100
value: 33.436
verified: no, type: ndcg_at_1000
value: 36.203
verified: no, type: ndcg_at_3
value: 23.152
verified: no, type: ndcg_at_5
value: 26.397
verified: no, type: precision_at_1
value: 17.375
verified: no, type: precision_at_10
value: 4.677
verified: no, type: precision_at_100
value: 0.786
verified: no, type: precision_at_1000
value: 0.109
verified: no, type: precision_at_3
value: 10.351
verified: no, type: precision_at_5
value: 7.985
verified: no, type: recall_at_1
value: 15.662
verified: no, type: recall_at_10
value: 40.066
verified: no, type: recall_at_100
value: 65.006
verified: no, type: recall_at_1000
value: 85.94000000000001
verified: no, type: recall_at_3
value: 27.400000000000002
verified: no, type: recall_at_5
value: 35.002
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 8.853
verified: no, type: map_at_10
value: 15.568000000000001
verified: no, type: map_at_100
value: 17.383000000000003
verified: no, type: map_at_1000
value: 17.584
verified: no, type: map_at_3
value: 12.561
verified: no, type: map_at_5
value: 14.056
verified: no, type: mrr_at_1
value: 18.958
verified: no, type: mrr_at_10
value: 28.288000000000004
verified: no, type: mrr_at_100
value: 29.432000000000002
verified: no, type: mrr_at_1000
value: 29.498
verified: no, type: mrr_at_3
value: 25.049
verified: no, type: mrr_at_5
value: 26.857
verified: no, type: ndcg_at_1
value: 18.958
verified: no, type: ndcg_at_10
value: 22.21
verified: no, type: ndcg_at_100
value: 29.596
verified: no, type: ndcg_at_1000
value: 33.583
verified: no, type: ndcg_at_3
value: 16.994999999999997
verified: no, type: ndcg_at_5
value: 18.95
verified: no, type: precision_at_1
value: 18.958
verified: no, type: precision_at_10
value: 7.192
verified: no, type: precision_at_100
value: 1.5
verified: no, type: precision_at_1000
value: 0.22399999999999998
verified: no, type: precision_at_3
value: 12.573
verified: no, type: precision_at_5
value: 10.202
verified: no, type: recall_at_1
value: 8.853
verified: no, type: recall_at_10
value: 28.087
verified: no, type: recall_at_100
value: 53.701
verified: no, type: recall_at_1000
value: 76.29899999999999
verified: no, type: recall_at_3
value: 15.913
verified: no, type: recall_at_5
value: 20.658
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 9.077
verified: no, type: map_at_10
value: 20.788999999999998
verified: no, type: map_at_100
value: 30.429000000000002
verified: no, type: map_at_1000
value: 32.143
verified: no, type: map_at_3
value: 14.692
verified: no, type: map_at_5
value: 17.139
verified: no, type: mrr_at_1
value: 70.75
verified: no, type: mrr_at_10
value: 78.036
verified: no, type: mrr_at_100
value: 78.401
verified: no, type: mrr_at_1000
value: 78.404
verified: no, type: mrr_at_3
value: 76.75
verified: no, type: mrr_at_5
value: 77.47500000000001
verified: no, type: ndcg_at_1
value: 58.12500000000001
verified: no, type: ndcg_at_10
value: 44.015
verified: no, type: ndcg_at_100
value: 49.247
verified: no, type: ndcg_at_1000
value: 56.211999999999996
verified: no, type: ndcg_at_3
value: 49.151
verified: no, type: ndcg_at_5
value: 46.195
verified: no, type: precision_at_1
value: 70.75
verified: no, type: precision_at_10
value: 35.5
verified: no, type: precision_at_100
value: 11.355
verified: no, type: precision_at_1000
value: 2.1950000000000003
verified: no, type: precision_at_3
value: 53.083000000000006
verified: no, type: precision_at_5
value: 44.800000000000004
verified: no, type: recall_at_1
value: 9.077
verified: no, type: recall_at_10
value: 26.259
verified: no, type: recall_at_100
value: 56.547000000000004
verified: no, type: recall_at_1000
value: 78.551
verified: no, type: recall_at_3
value: 16.162000000000003
verified: no, type: recall_at_5
value: 19.753999999999998
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 49.44500000000001
verified: no, type: f1
value: 44.67067691783401
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 68.182
verified: no, type: map_at_10
value: 78.223
verified: no, type: map_at_100
value: 78.498
verified: no, type: map_at_1000
value: 78.512
verified: no, type: map_at_3
value: 76.71
verified: no, type: map_at_5
value: 77.725
verified: no, type: mrr_at_1
value: 73.177
verified: no, type: mrr_at_10
value: 82.513
verified: no, type: mrr_at_100
value: 82.633
verified: no, type: mrr_at_1000
value: 82.635
verified: no, type: mrr_at_3
value: 81.376
verified: no, type: mrr_at_5
value: 82.182
verified: no, type: ndcg_at_1
value: 73.177
verified: no, type: ndcg_at_10
value: 82.829
verified: no, type: ndcg_at_100
value: 83.84
verified: no, type: ndcg_at_1000
value: 84.07900000000001
verified: no, type: ndcg_at_3
value: 80.303
verified: no, type: ndcg_at_5
value: 81.846
verified: no, type: precision_at_1
value: 73.177
verified: no, type: precision_at_10
value: 10.241999999999999
verified: no, type: precision_at_100
value: 1.099
verified: no, type: precision_at_1000
value: 0.11399999999999999
verified: no, type: precision_at_3
value: 31.247999999999998
verified: no, type: precision_at_5
value: 19.697
verified: no, type: recall_at_1
value: 68.182
verified: no, type: recall_at_10
value: 92.657
verified: no, type: recall_at_100
value: 96.709
verified: no, type: recall_at_1000
value: 98.184
verified: no, type: recall_at_3
value: 85.9
verified: no, type: recall_at_5
value: 89.755
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 21.108
verified: no, type: map_at_10
value: 33.342
verified: no, type: map_at_100
value: 35.281
verified: no, type: map_at_1000
value: 35.478
verified: no, type: map_at_3
value: 29.067
verified: no, type: map_at_5
value: 31.563000000000002
verified: no, type: mrr_at_1
value: 41.667
verified: no, type: mrr_at_10
value: 49.913000000000004
verified: no, type: mrr_at_100
value: 50.724000000000004
verified: no, type: mrr_at_1000
value: 50.766
verified: no, type: mrr_at_3
value: 47.504999999999995
verified: no, type: mrr_at_5
value: 49.033
verified: no, type: ndcg_at_1
value: 41.667
verified: no, type: ndcg_at_10
value: 41.144
verified: no, type: ndcg_at_100
value: 48.326
verified: no, type: ndcg_at_1000
value: 51.486
verified: no, type: ndcg_at_3
value: 37.486999999999995
verified: no, type: ndcg_at_5
value: 38.78
verified: no, type: precision_at_1
value: 41.667
verified: no, type: precision_at_10
value: 11.358
verified: no, type: precision_at_100
value: 1.873
verified: no, type: precision_at_1000
value: 0.244
verified: no, type: precision_at_3
value: 25
verified: no, type: precision_at_5
value: 18.519
verified: no, type: recall_at_1
value: 21.108
verified: no, type: recall_at_10
value: 47.249
verified: no, type: recall_at_100
value: 74.52
verified: no, type: recall_at_1000
value: 93.31
verified: no, type: recall_at_3
value: 33.271
verified: no, type: recall_at_5
value: 39.723000000000006
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 40.317
verified: no, type: map_at_10
value: 64.861
verified: no, type: map_at_100
value: 65.697
verified: no, type: map_at_1000
value: 65.755
verified: no, type: map_at_3
value: 61.258
verified: no, type: map_at_5
value: 63.590999999999994
verified: no, type: mrr_at_1
value: 80.635
verified: no, type: mrr_at_10
value: 86.528
verified: no, type: mrr_at_100
value: 86.66199999999999
verified: no, type: mrr_at_1000
value: 86.666
verified: no, type: mrr_at_3
value: 85.744
verified: no, type: mrr_at_5
value: 86.24300000000001
verified: no, type: ndcg_at_1
value: 80.635
verified: no, type: ndcg_at_10
value: 73.13199999999999
verified: no, type: ndcg_at_100
value: 75.927
verified: no, type: ndcg_at_1000
value: 76.976
verified: no, type: ndcg_at_3
value: 68.241
verified: no, type: ndcg_at_5
value: 71.071
verified: no, type: precision_at_1
value: 80.635
verified: no, type: precision_at_10
value: 15.326
verified: no, type: precision_at_100
value: 1.7500000000000002
verified: no, type: precision_at_1000
value: 0.189
verified: no, type: precision_at_3
value: 43.961
verified: no, type: precision_at_5
value: 28.599999999999998
verified: no, type: recall_at_1
value: 40.317
verified: no, type: recall_at_10
value: 76.631
verified: no, type: recall_at_100
value: 87.495
verified: no, type: recall_at_1000
value: 94.362
verified: no, type: recall_at_3
value: 65.94200000000001
verified: no, type: recall_at_5
value: 71.499
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 91.686
verified: no, type: ap
value: 87.5577120393173
verified: no, type: f1
value: 91.6629447355139
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 23.702
verified: no, type: map_at_10
value: 36.414
verified: no, type: map_at_100
value: 37.561
verified: no, type: map_at_1000
value: 37.605
verified: no, type: map_at_3
value: 32.456
verified: no, type: map_at_5
value: 34.827000000000005
verified: no, type: mrr_at_1
value: 24.355
verified: no, type: mrr_at_10
value: 37.01
verified: no, type: mrr_at_100
value: 38.085
verified: no, type: mrr_at_1000
value: 38.123000000000005
verified: no, type: mrr_at_3
value: 33.117999999999995
verified: no, type: mrr_at_5
value: 35.452
verified: no, type: ndcg_at_1
value: 24.384
verified: no, type: ndcg_at_10
value: 43.456
verified: no, type: ndcg_at_100
value: 48.892
verified: no, type: ndcg_at_1000
value: 49.964
verified: no, type: ndcg_at_3
value: 35.475
verified: no, type: ndcg_at_5
value: 39.711
verified: no, type: precision_at_1
value: 24.384
verified: no, type: precision_at_10
value: 6.7940000000000005
verified: no, type: precision_at_100
value: 0.951
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 15.052999999999999
verified: no, type: precision_at_5
value: 11.189
verified: no, type: recall_at_1
value: 23.702
verified: no, type: recall_at_10
value: 65.057
verified: no, type: recall_at_100
value: 90.021
verified: no, type: recall_at_1000
value: 98.142
verified: no, type: recall_at_3
value: 43.551
verified: no, type: recall_at_5
value: 53.738
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 94.62380300957591
verified: no, type: f1
value: 94.49871222100734
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 77.14090287277702
verified: no, type: f1
value: 60.32101258220515
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: 73.84330867518494
verified: no, type: f1
value: 71.92248688515255
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: 78.10692669804976
verified: no, type: f1
value: 77.9904839122866
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: 31.822988923078444
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: 30.38394880253403
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.82504612539082
verified: no, type: mrr
value: 32.84462298174977
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 6.029
verified: no, type: map_at_10
value: 14.088999999999999
verified: no, type: map_at_100
value: 17.601
verified: no, type: map_at_1000
value: 19.144
verified: no, type: map_at_3
value: 10.156
verified: no, type: map_at_5
value: 11.892
verified: no, type: mrr_at_1
value: 46.44
verified: no, type: mrr_at_10
value: 56.596999999999994
verified: no, type: mrr_at_100
value: 57.11000000000001
verified: no, type: mrr_at_1000
value: 57.14
verified: no, type: mrr_at_3
value: 54.334
verified: no, type: mrr_at_5
value: 55.774
verified: no, type: ndcg_at_1
value: 44.891999999999996
verified: no, type: ndcg_at_10
value: 37.134
verified: no, type: ndcg_at_100
value: 33.652
verified: no, type: ndcg_at_1000
value: 42.548
verified: no, type: ndcg_at_3
value: 41.851
verified: no, type: ndcg_at_5
value: 39.842
verified: no, type: precision_at_1
value: 46.44
verified: no, type: precision_at_10
value: 27.647
verified: no, type: precision_at_100
value: 8.309999999999999
verified: no, type: precision_at_1000
value: 2.146
verified: no, type: precision_at_3
value: 39.422000000000004
verified: no, type: precision_at_5
value: 34.675
verified: no, type: recall_at_1
value: 6.029
verified: no, type: recall_at_10
value: 18.907
verified: no, type: recall_at_100
value: 33.76
verified: no, type: recall_at_1000
value: 65.14999999999999
verified: no, type: recall_at_3
value: 11.584999999999999
verified: no, type: recall_at_5
value: 14.626
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 39.373000000000005
verified: no, type: map_at_10
value: 55.836
verified: no, type: map_at_100
value: 56.611999999999995
verified: no, type: map_at_1000
value: 56.63
verified: no, type: map_at_3
value: 51.747
verified: no, type: map_at_5
value: 54.337999999999994
verified: no, type: mrr_at_1
value: 44.147999999999996
verified: no, type: mrr_at_10
value: 58.42699999999999
verified: no, type: mrr_at_100
value: 58.902
verified: no, type: mrr_at_1000
value: 58.914
verified: no, type: mrr_at_3
value: 55.156000000000006
verified: no, type: mrr_at_5
value: 57.291000000000004
verified: no, type: ndcg_at_1
value: 44.119
verified: no, type: ndcg_at_10
value: 63.444
verified: no, type: ndcg_at_100
value: 66.40599999999999
verified: no, type: ndcg_at_1000
value: 66.822
verified: no, type: ndcg_at_3
value: 55.962
verified: no, type: ndcg_at_5
value: 60.228
verified: no, type: precision_at_1
value: 44.119
verified: no, type: precision_at_10
value: 10.006
verified: no, type: precision_at_100
value: 1.17
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 25.135
verified: no, type: precision_at_5
value: 17.59
verified: no, type: recall_at_1
value: 39.373000000000005
verified: no, type: recall_at_10
value: 83.78999999999999
verified: no, type: recall_at_100
value: 96.246
verified: no, type: recall_at_1000
value: 99.324
verified: no, type: recall_at_3
value: 64.71900000000001
verified: no, type: recall_at_5
value: 74.508
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 69.199
verified: no, type: map_at_10
value: 82.892
verified: no, type: map_at_100
value: 83.578
verified: no, type: map_at_1000
value: 83.598
verified: no, type: map_at_3
value: 79.948
verified: no, type: map_at_5
value: 81.779
verified: no, type: mrr_at_1
value: 79.67
verified: no, type: mrr_at_10
value: 86.115
verified: no, type: mrr_at_100
value: 86.249
verified: no, type: mrr_at_1000
value: 86.251
verified: no, type: mrr_at_3
value: 85.08200000000001
verified: no, type: mrr_at_5
value: 85.783
verified: no, type: ndcg_at_1
value: 79.67
verified: no, type: ndcg_at_10
value: 86.839
verified: no, type: ndcg_at_100
value: 88.252
verified: no, type: ndcg_at_1000
value: 88.401
verified: no, type: ndcg_at_3
value: 83.86200000000001
verified: no, type: ndcg_at_5
value: 85.473
verified: no, type: precision_at_1
value: 79.67
verified: no, type: precision_at_10
value: 13.19
verified: no, type: precision_at_100
value: 1.521
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 36.677
verified: no, type: precision_at_5
value: 24.118000000000002
verified: no, type: recall_at_1
value: 69.199
verified: no, type: recall_at_10
value: 94.321
verified: no, type: recall_at_100
value: 99.20400000000001
verified: no, type: recall_at_1000
value: 99.947
verified: no, type: recall_at_3
value: 85.787
verified: no, type: recall_at_5
value: 90.365
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 55.82810046856353
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: 63.38132611783628
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.127000000000001
verified: no, type: map_at_10
value: 12.235
verified: no, type: map_at_100
value: 14.417
verified: no, type: map_at_1000
value: 14.75
verified: no, type: map_at_3
value: 8.906
verified: no, type: map_at_5
value: 10.591000000000001
verified: no, type: mrr_at_1
value: 25.2
verified: no, type: mrr_at_10
value: 35.879
verified: no, type: mrr_at_100
value: 36.935
verified: no, type: mrr_at_1000
value: 36.997
verified: no, type: mrr_at_3
value: 32.783
verified: no, type: mrr_at_5
value: 34.367999999999995
verified: no, type: ndcg_at_1
value: 25.2
verified: no, type: ndcg_at_10
value: 20.509
verified: no, type: ndcg_at_100
value: 28.67
verified: no, type: ndcg_at_1000
value: 34.42
verified: no, type: ndcg_at_3
value: 19.948
verified: no, type: ndcg_at_5
value: 17.166
verified: no, type: precision_at_1
value: 25.2
verified: no, type: precision_at_10
value: 10.440000000000001
verified: no, type: precision_at_100
value: 2.214
verified: no, type: precision_at_1000
value: 0.359
verified: no, type: precision_at_3
value: 18.533
verified: no, type: precision_at_5
value: 14.860000000000001
verified: no, type: recall_at_1
value: 5.127000000000001
verified: no, type: recall_at_10
value: 21.147
verified: no, type: recall_at_100
value: 44.946999999999996
verified: no, type: recall_at_1000
value: 72.89
verified: no, type: recall_at_3
value: 11.277
verified: no, type: recall_at_5
value: 15.042
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: 83.0373011786213
verified: no, type: cos_sim_spearman
value: 79.27889560856613
verified: no, type: euclidean_pearson
value: 80.31186315495655
verified: no, type: euclidean_spearman
value: 79.41630415280811
verified: no, type: manhattan_pearson
value: 80.31755140442013
verified: no, type: manhattan_spearman
value: 79.43069870027611
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: 84.8659751342045
verified: no, type: cos_sim_spearman
value: 76.95377612997667
verified: no, type: euclidean_pearson
value: 81.24552945497848
verified: no, type: euclidean_spearman
value: 77.18236963555253
verified: no, type: manhattan_pearson
value: 81.26477607759037
verified: no, type: manhattan_spearman
value: 77.13821753062756
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: 83.34597139044875
verified: no, type: cos_sim_spearman
value: 84.124169425592
verified: no, type: euclidean_pearson
value: 83.68590721511401
verified: no, type: euclidean_spearman
value: 84.18846190846398
verified: no, type: manhattan_pearson
value: 83.57630235061498
verified: no, type: manhattan_spearman
value: 84.10244043726902
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: 82.67641885599572
verified: no, type: cos_sim_spearman
value: 80.46450725650428
verified: no, type: euclidean_pearson
value: 81.61645042715865
verified: no, type: euclidean_spearman
value: 80.61418394236874
verified: no, type: manhattan_pearson
value: 81.55712034928871
verified: no, type: manhattan_spearman
value: 80.57905670523951
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: 88.86650310886782
verified: no, type: cos_sim_spearman
value: 89.76081629222328
verified: no, type: euclidean_pearson
value: 89.1530747029954
verified: no, type: euclidean_spearman
value: 89.80990657280248
verified: no, type: manhattan_pearson
value: 89.10640563278132
verified: no, type: manhattan_spearman
value: 89.76282108434047
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: 83.93864027911118
verified: no, type: cos_sim_spearman
value: 85.47096193999023
verified: no, type: euclidean_pearson
value: 85.03141840870533
verified: no, type: euclidean_spearman
value: 85.43124029598181
verified: no, type: manhattan_pearson
value: 84.99002664393512
verified: no, type: manhattan_spearman
value: 85.39169195120834
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: 88.7045343749832
verified: no, type: cos_sim_spearman
value: 89.03262221146677
verified: no, type: euclidean_pearson
value: 89.56078218264365
verified: no, type: euclidean_spearman
value: 89.17827006466868
verified: no, type: manhattan_pearson
value: 89.52717595468582
verified: no, type: manhattan_spearman
value: 89.15878115952923
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: 64.20191302875551
verified: no, type: cos_sim_spearman
value: 64.11446552557646
verified: no, type: euclidean_pearson
value: 64.6918197393619
verified: no, type: euclidean_spearman
value: 63.440182631197764
verified: no, type: manhattan_pearson
value: 64.55692904121835
verified: no, type: manhattan_spearman
value: 63.424877742756266
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: 86.37793104662344
verified: no, type: cos_sim_spearman
value: 87.7357802629067
verified: no, type: euclidean_pearson
value: 87.4286301545109
verified: no, type: euclidean_spearman
value: 87.78452920777421
verified: no, type: manhattan_pearson
value: 87.42445169331255
verified: no, type: manhattan_spearman
value: 87.78537677249598
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 84.31465405081792
verified: no, type: mrr
value: 95.7173781193389
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 57.760999999999996
verified: no, type: map_at_10
value: 67.904
verified: no, type: map_at_100
value: 68.539
verified: no, type: map_at_1000
value: 68.562
verified: no, type: map_at_3
value: 65.415
verified: no, type: map_at_5
value: 66.788
verified: no, type: mrr_at_1
value: 60.333000000000006
verified: no, type: mrr_at_10
value: 68.797
verified: no, type: mrr_at_100
value: 69.236
verified: no, type: mrr_at_1000
value: 69.257
verified: no, type: mrr_at_3
value: 66.667
verified: no, type: mrr_at_5
value: 67.967
verified: no, type: ndcg_at_1
value: 60.333000000000006
verified: no, type: ndcg_at_10
value: 72.24199999999999
verified: no, type: ndcg_at_100
value: 74.86
verified: no, type: ndcg_at_1000
value: 75.354
verified: no, type: ndcg_at_3
value: 67.93400000000001
verified: no, type: ndcg_at_5
value: 70.02199999999999
verified: no, type: precision_at_1
value: 60.333000000000006
verified: no, type: precision_at_10
value: 9.533
verified: no, type: precision_at_100
value: 1.09
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 26.778000000000002
verified: no, type: precision_at_5
value: 17.467
verified: no, type: recall_at_1
value: 57.760999999999996
verified: no, type: recall_at_10
value: 84.383
verified: no, type: recall_at_100
value: 96.267
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 72.628
verified: no, type: recall_at_5
value: 78.094
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: 94.9210324173411
verified: no, type: cos_sim_f1
value: 89.8521162672106
verified: no, type: cos_sim_precision
value: 91.67533818938605
verified: no, type: cos_sim_recall
value: 88.1
verified: no, type: dot_accuracy
value: 99.69504950495049
verified: no, type: dot_ap
value: 90.4919719146181
verified: no, type: dot_f1
value: 84.72289156626506
verified: no, type: dot_precision
value: 81.76744186046511
verified: no, type: dot_recall
value: 87.9
verified: no, type: euclidean_accuracy
value: 99.79702970297029
verified: no, type: euclidean_ap
value: 94.87827463795753
verified: no, type: euclidean_f1
value: 89.55680081507896
verified: no, type: euclidean_precision
value: 91.27725856697819
verified: no, type: euclidean_recall
value: 87.9
verified: no, type: manhattan_accuracy
value: 99.7990099009901
verified: no, type: manhattan_ap
value: 94.87587025149682
verified: no, type: manhattan_f1
value: 89.76298537569339
verified: no, type: manhattan_precision
value: 90.53916581892166
verified: no, type: manhattan_recall
value: 89
verified: no, type: max_accuracy
value: 99.8029702970297
verified: no, type: max_ap
value: 94.9210324173411
verified: no, type: max_f1
value: 89.8521162672106
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 65.92385753948724
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: 33.671756975431144
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 50.677928036739004
verified: no, type: mrr
value: 51.56413133435193
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 30.523589340819683
verified: no, type: cos_sim_spearman
value: 30.187407518823235
verified: no, type: dot_pearson
value: 29.039713969699015
verified: no, type: dot_spearman
value: 29.114740651155508
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.211
verified: no, type: map_at_10
value: 1.6199999999999999
verified: no, type: map_at_100
value: 8.658000000000001
verified: no, type: map_at_1000
value: 21.538
verified: no, type: map_at_3
value: 0.575
verified: no, type: map_at_5
value: 0.919
verified: no, type: mrr_at_1
value: 78
verified: no, type: mrr_at_10
value: 86.18599999999999
verified: no, type: mrr_at_100
value: 86.18599999999999
verified: no, type: mrr_at_1000
value: 86.18599999999999
verified: no, type: mrr_at_3
value: 85
verified: no, type: mrr_at_5
value: 85.9
verified: no, type: ndcg_at_1
value: 74
verified: no, type: ndcg_at_10
value: 66.542
verified: no, type: ndcg_at_100
value: 50.163999999999994
verified: no, type: ndcg_at_1000
value: 45.696999999999996
verified: no, type: ndcg_at_3
value: 71.531
verified: no, type: ndcg_at_5
value: 70.45
verified: no, type: precision_at_1
value: 78
verified: no, type: precision_at_10
value: 69.39999999999999
verified: no, type: precision_at_100
value: 51.06
verified: no, type: precision_at_1000
value: 20.022000000000002
verified: no, type: precision_at_3
value: 76
verified: no, type: precision_at_5
value: 74.8
verified: no, type: recall_at_1
value: 0.211
verified: no, type: recall_at_10
value: 1.813
verified: no, type: recall_at_100
value: 12.098
verified: no, type: recall_at_1000
value: 42.618
verified: no, type: recall_at_3
value: 0.603
verified: no, type: recall_at_5
value: 0.987
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.2079999999999997
verified: no, type: map_at_10
value: 7.777000000000001
verified: no, type: map_at_100
value: 12.825000000000001
verified: no, type: map_at_1000
value: 14.196
verified: no, type: map_at_3
value: 4.285
verified: no, type: map_at_5
value: 6.177
verified: no, type: mrr_at_1
value: 30.612000000000002
verified: no, type: mrr_at_10
value: 42.635
verified: no, type: mrr_at_100
value: 43.955
verified: no, type: mrr_at_1000
value: 43.955
verified: no, type: mrr_at_3
value: 38.435
verified: no, type: mrr_at_5
value: 41.088
verified: no, type: ndcg_at_1
value: 28.571
verified: no, type: ndcg_at_10
value: 20.666999999999998
verified: no, type: ndcg_at_100
value: 31.840000000000003
verified: no, type: ndcg_at_1000
value: 43.191
verified: no, type: ndcg_at_3
value: 23.45
verified: no, type: ndcg_at_5
value: 22.994
verified: no, type: precision_at_1
value: 30.612000000000002
verified: no, type: precision_at_10
value: 17.959
verified: no, type: precision_at_100
value: 6.755
verified: no, type: precision_at_1000
value: 1.4200000000000002
verified: no, type: precision_at_3
value: 23.810000000000002
verified: no, type: precision_at_5
value: 23.673
verified: no, type: recall_at_1
value: 2.2079999999999997
verified: no, type: recall_at_10
value: 13.144
verified: no, type: recall_at_100
value: 42.491
verified: no, type: recall_at_1000
value: 77.04299999999999
verified: no, type: recall_at_3
value: 5.3469999999999995
verified: no, type: recall_at_5
value: 9.139
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 70.9044
verified: no, type: ap
value: 14.625783489340755
verified: no, type: f1
value: 54.814936562590546
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 60.94227504244483
verified: no, type: f1
value: 61.22516038508854
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 49.602409155145864
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: 86.94641473445789
verified: no, type: cos_sim_ap
value: 76.91572747061197
verified: no, type: cos_sim_f1
value: 70.14348097317529
verified: no, type: cos_sim_precision
value: 66.53254437869822
verified: no, type: cos_sim_recall
value: 74.1688654353562
verified: no, type: dot_accuracy
value: 84.80061989628658
verified: no, type: dot_ap
value: 70.7952548895177
verified: no, type: dot_f1
value: 65.44780728844965
verified: no, type: dot_precision
value: 61.53310104529617
verified: no, type: dot_recall
value: 69.89445910290237
verified: no, type: euclidean_accuracy
value: 86.94641473445789
verified: no, type: euclidean_ap
value: 76.80774009393652
verified: no, type: euclidean_f1
value: 70.30522503879979
verified: no, type: euclidean_precision
value: 68.94977168949772
verified: no, type: euclidean_recall
value: 71.71503957783642
verified: no, type: manhattan_accuracy
value: 86.8629671574179
verified: no, type: manhattan_ap
value: 76.76518632600317
verified: no, type: manhattan_f1
value: 70.16056518946692
verified: no, type: manhattan_precision
value: 68.360450563204
verified: no, type: manhattan_recall
value: 72.0580474934037
verified: no, type: max_accuracy
value: 86.94641473445789
verified: no, type: max_ap
value: 76.91572747061197
verified: no, type: max_f1
value: 70.30522503879979
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: 89.10428066907285
verified: no, type: cos_sim_ap
value: 86.25114759921435
verified: no, type: cos_sim_f1
value: 78.37857884586856
verified: no, type: cos_sim_precision
value: 75.60818546078993
verified: no, type: cos_sim_recall
value: 81.35971666153372
verified: no, type: dot_accuracy
value: 87.41995575736406
verified: no, type: dot_ap
value: 81.51838010086782
verified: no, type: dot_f1
value: 74.77398015435503
verified: no, type: dot_precision
value: 71.53002390662354
verified: no, type: dot_recall
value: 78.32614721281182
verified: no, type: euclidean_accuracy
value: 89.12368533395428
verified: no, type: euclidean_ap
value: 86.33456799874504
verified: no, type: euclidean_f1
value: 78.45496750232127
verified: no, type: euclidean_precision
value: 75.78388462366364
verified: no, type: euclidean_recall
value: 81.32121958731136
verified: no, type: manhattan_accuracy
value: 89.10622113556099
verified: no, type: manhattan_ap
value: 86.31215061745333
verified: no, type: manhattan_f1
value: 78.40684906011539
verified: no, type: manhattan_precision
value: 75.89536643366722
verified: no, type: manhattan_recall
value: 81.09023714197721
verified: no, type: max_accuracy
value: 89.12368533395428
verified: no, type: max_ap
value: 86.33456799874504
verified: no, type: max_f1
value: 78.45496750232127
verified: no
language: en
license: mit
Likes: 271 | All-time downloads: 26299240
Created: 2023-05-19 07:23:33