Model: RedHatAI/bge-small-en-v1.5-sparse
Author: RedHatAI
Pipeline: feature-extraction
Library: transformers
Tags: transformers, onnx, bert, feature-extraction, mteb, sparse sparsity quantized onnx embeddings int8, en, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: tags: mteb, sparse sparsity quantized onnx embeddings int8
model-index: name: bge-small-en-v1.5-sparse
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 70.71641791044776
verified: no, type: ap
value: 32.850850647310004
verified: no, type: f1
value: 64.48101916414805
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 83.33962500000001
verified: no, type: ap
value: 78.28706349240106
verified: no, type: f1
value: 83.27426715603062
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: 40.988
verified: no, type: f1
value: 40.776679545648506
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.101999999999997
verified: no, type: map_at_10
value: 40.754000000000005
verified: no, type: map_at_100
value: 41.83
verified: no, type: map_at_1000
value: 41.845
verified: no, type: map_at_3
value: 36.178
verified: no, type: map_at_5
value: 38.646
verified: no, type: mrr_at_1
value: 26.6
verified: no, type: mrr_at_10
value: 40.934
verified: no, type: mrr_at_100
value: 42.015
verified: no, type: mrr_at_1000
value: 42.03
verified: no, type: mrr_at_3
value: 36.344
verified: no, type: mrr_at_5
value: 38.848
verified: no, type: ndcg_at_1
value: 26.101999999999997
verified: no, type: ndcg_at_10
value: 49.126999999999995
verified: no, type: ndcg_at_100
value: 53.815999999999995
verified: no, type: ndcg_at_1000
value: 54.178000000000004
verified: no, type: ndcg_at_3
value: 39.607
verified: no, type: ndcg_at_5
value: 44.086999999999996
verified: no, type: precision_at_1
value: 26.101999999999997
verified: no, type: precision_at_10
value: 7.596
verified: no, type: precision_at_100
value: 0.967
verified: no, type: precision_at_1000
value: 0.099
verified: no, type: precision_at_3
value: 16.524
verified: no, type: precision_at_5
value: 12.105
verified: no, type: recall_at_1
value: 26.101999999999997
verified: no, type: recall_at_10
value: 75.96000000000001
verified: no, type: recall_at_100
value: 96.65700000000001
verified: no, type: recall_at_1000
value: 99.431
verified: no, type: recall_at_3
value: 49.573
verified: no, type: recall_at_5
value: 60.526
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: 43.10651535441929
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: 34.41095293826606
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 56.96575970919239
verified: no, type: mrr
value: 69.92503187794047
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: 79.64892774481326
verified: no, type: cos_sim_spearman
value: 78.953003817029
verified: no, type: euclidean_pearson
value: 78.92456838230683
verified: no, type: euclidean_spearman
value: 78.56504316985354
verified: no, type: manhattan_pearson
value: 79.21436359014227
verified: no, type: manhattan_spearman
value: 78.66263575501259
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 81.25
verified: no, type: f1
value: 81.20841448916138
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: 34.69545244587236
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: 28.84301739171936
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.401
verified: no, type: map_at_10
value: 32.451
verified: no, type: map_at_100
value: 33.891
verified: no, type: map_at_1000
value: 34.01
verified: no, type: map_at_3
value: 29.365999999999996
verified: no, type: map_at_5
value: 31.240000000000002
verified: no, type: mrr_at_1
value: 29.9
verified: no, type: mrr_at_10
value: 38.590999999999994
verified: no, type: mrr_at_100
value: 39.587
verified: no, type: mrr_at_1000
value: 39.637
verified: no, type: mrr_at_3
value: 36.028
verified: no, type: mrr_at_5
value: 37.673
verified: no, type: ndcg_at_1
value: 29.9
verified: no, type: ndcg_at_10
value: 38.251000000000005
verified: no, type: ndcg_at_100
value: 44.354
verified: no, type: ndcg_at_1000
value: 46.642
verified: no, type: ndcg_at_3
value: 33.581
verified: no, type: ndcg_at_5
value: 35.96
verified: no, type: precision_at_1
value: 29.9
verified: no, type: precision_at_10
value: 7.439
verified: no, type: precision_at_100
value: 1.28
verified: no, type: precision_at_1000
value: 0.17700000000000002
verified: no, type: precision_at_3
value: 16.404
verified: no, type: precision_at_5
value: 12.046
verified: no, type: recall_at_1
value: 23.401
verified: no, type: recall_at_10
value: 49.305
verified: no, type: recall_at_100
value: 75.885
verified: no, type: recall_at_1000
value: 90.885
verified: no, type: recall_at_3
value: 35.341
verified: no, type: recall_at_5
value: 42.275
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.103
verified: no, type: map_at_10
value: 29.271
verified: no, type: map_at_100
value: 30.151
verified: no, type: map_at_1000
value: 30.276999999999997
verified: no, type: map_at_3
value: 27.289
verified: no, type: map_at_5
value: 28.236
verified: no, type: mrr_at_1
value: 26.943
verified: no, type: mrr_at_10
value: 33.782000000000004
verified: no, type: mrr_at_100
value: 34.459
verified: no, type: mrr_at_1000
value: 34.525
verified: no, type: mrr_at_3
value: 31.985000000000003
verified: no, type: mrr_at_5
value: 32.909
verified: no, type: ndcg_at_1
value: 26.943
verified: no, type: ndcg_at_10
value: 33.616
verified: no, type: ndcg_at_100
value: 37.669000000000004
verified: no, type: ndcg_at_1000
value: 40.247
verified: no, type: ndcg_at_3
value: 30.482
verified: no, type: ndcg_at_5
value: 31.615
verified: no, type: precision_at_1
value: 26.943
verified: no, type: precision_at_10
value: 6.146
verified: no, type: precision_at_100
value: 1.038
verified: no, type: precision_at_1000
value: 0.151
verified: no, type: precision_at_3
value: 14.521999999999998
verified: no, type: precision_at_5
value: 10.038
verified: no, type: recall_at_1
value: 22.103
verified: no, type: recall_at_10
value: 41.754999999999995
verified: no, type: recall_at_100
value: 59.636
verified: no, type: recall_at_1000
value: 76.801
verified: no, type: recall_at_3
value: 32.285000000000004
verified: no, type: recall_at_5
value: 35.684
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.565
verified: no, type: map_at_10
value: 43.07
verified: no, type: map_at_100
value: 44.102999999999994
verified: no, type: map_at_1000
value: 44.175
verified: no, type: map_at_3
value: 40.245
verified: no, type: map_at_5
value: 41.71
verified: no, type: mrr_at_1
value: 37.429
verified: no, type: mrr_at_10
value: 46.358
verified: no, type: mrr_at_100
value: 47.146
verified: no, type: mrr_at_1000
value: 47.187
verified: no, type: mrr_at_3
value: 44.086
verified: no, type: mrr_at_5
value: 45.318000000000005
verified: no, type: ndcg_at_1
value: 37.429
verified: no, type: ndcg_at_10
value: 48.398
verified: no, type: ndcg_at_100
value: 52.90899999999999
verified: no, type: ndcg_at_1000
value: 54.478
verified: no, type: ndcg_at_3
value: 43.418
verified: no, type: ndcg_at_5
value: 45.578
verified: no, type: precision_at_1
value: 37.429
verified: no, type: precision_at_10
value: 7.856000000000001
verified: no, type: precision_at_100
value: 1.093
verified: no, type: precision_at_1000
value: 0.129
verified: no, type: precision_at_3
value: 19.331
verified: no, type: precision_at_5
value: 13.191
verified: no, type: recall_at_1
value: 32.565
verified: no, type: recall_at_10
value: 61.021
verified: no, type: recall_at_100
value: 81.105
verified: no, type: recall_at_1000
value: 92.251
verified: no, type: recall_at_3
value: 47.637
verified: no, type: recall_at_5
value: 52.871
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.108
verified: no, type: map_at_10
value: 24.613
verified: no, type: map_at_100
value: 25.624000000000002
verified: no, type: map_at_1000
value: 25.721
verified: no, type: map_at_3
value: 22.271
verified: no, type: map_at_5
value: 23.681
verified: no, type: mrr_at_1
value: 19.435
verified: no, type: mrr_at_10
value: 26.124000000000002
verified: no, type: mrr_at_100
value: 27.07
verified: no, type: mrr_at_1000
value: 27.145999999999997
verified: no, type: mrr_at_3
value: 23.748
verified: no, type: mrr_at_5
value: 25.239
verified: no, type: ndcg_at_1
value: 19.435
verified: no, type: ndcg_at_10
value: 28.632
verified: no, type: ndcg_at_100
value: 33.988
verified: no, type: ndcg_at_1000
value: 36.551
verified: no, type: ndcg_at_3
value: 24.035999999999998
verified: no, type: ndcg_at_5
value: 26.525
verified: no, type: precision_at_1
value: 19.435
verified: no, type: precision_at_10
value: 4.565
verified: no, type: precision_at_100
value: 0.771
verified: no, type: precision_at_1000
value: 0.10200000000000001
verified: no, type: precision_at_3
value: 10.169
verified: no, type: precision_at_5
value: 7.571
verified: no, type: recall_at_1
value: 18.108
verified: no, type: recall_at_10
value: 39.533
verified: no, type: recall_at_100
value: 64.854
verified: no, type: recall_at_1000
value: 84.421
verified: no, type: recall_at_3
value: 27.500000000000004
verified: no, type: recall_at_5
value: 33.314
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 11.087
verified: no, type: map_at_10
value: 17.323
verified: no, type: map_at_100
value: 18.569
verified: no, type: map_at_1000
value: 18.694
verified: no, type: map_at_3
value: 15.370000000000001
verified: no, type: map_at_5
value: 16.538
verified: no, type: mrr_at_1
value: 13.557
verified: no, type: mrr_at_10
value: 21.041
verified: no, type: mrr_at_100
value: 22.134
verified: no, type: mrr_at_1000
value: 22.207
verified: no, type: mrr_at_3
value: 18.843
verified: no, type: mrr_at_5
value: 20.236
verified: no, type: ndcg_at_1
value: 13.557
verified: no, type: ndcg_at_10
value: 21.571
verified: no, type: ndcg_at_100
value: 27.678000000000004
verified: no, type: ndcg_at_1000
value: 30.8
verified: no, type: ndcg_at_3
value: 17.922
verified: no, type: ndcg_at_5
value: 19.826
verified: no, type: precision_at_1
value: 13.557
verified: no, type: precision_at_10
value: 4.1290000000000004
verified: no, type: precision_at_100
value: 0.8370000000000001
verified: no, type: precision_at_1000
value: 0.125
verified: no, type: precision_at_3
value: 8.914
verified: no, type: precision_at_5
value: 6.691999999999999
verified: no, type: recall_at_1
value: 11.087
verified: no, type: recall_at_10
value: 30.94
verified: no, type: recall_at_100
value: 57.833999999999996
verified: no, type: recall_at_1000
value: 80.365
verified: no, type: recall_at_3
value: 20.854
verified: no, type: recall_at_5
value: 25.695
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 21.708
verified: no, type: map_at_10
value: 30.422
verified: no, type: map_at_100
value: 31.713
verified: no, type: map_at_1000
value: 31.842
verified: no, type: map_at_3
value: 27.424
verified: no, type: map_at_5
value: 29.17
verified: no, type: mrr_at_1
value: 26.756
verified: no, type: mrr_at_10
value: 35.304
verified: no, type: mrr_at_100
value: 36.296
verified: no, type: mrr_at_1000
value: 36.359
verified: no, type: mrr_at_3
value: 32.692
verified: no, type: mrr_at_5
value: 34.288999999999994
verified: no, type: ndcg_at_1
value: 26.756
verified: no, type: ndcg_at_10
value: 35.876000000000005
verified: no, type: ndcg_at_100
value: 41.708
verified: no, type: ndcg_at_1000
value: 44.359
verified: no, type: ndcg_at_3
value: 30.946
verified: no, type: ndcg_at_5
value: 33.404
verified: no, type: precision_at_1
value: 26.756
verified: no, type: precision_at_10
value: 6.795
verified: no, type: precision_at_100
value: 1.138
verified: no, type: precision_at_1000
value: 0.155
verified: no, type: precision_at_3
value: 15.046999999999999
verified: no, type: precision_at_5
value: 10.972
verified: no, type: recall_at_1
value: 21.708
verified: no, type: recall_at_10
value: 47.315000000000005
verified: no, type: recall_at_100
value: 72.313
verified: no, type: recall_at_1000
value: 90.199
verified: no, type: recall_at_3
value: 33.528999999999996
verified: no, type: recall_at_5
value: 39.985
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.902
verified: no, type: map_at_10
value: 26.166
verified: no, type: map_at_100
value: 27.368
verified: no, type: map_at_1000
value: 27.493000000000002
verified: no, type: map_at_3
value: 23.505000000000003
verified: no, type: map_at_5
value: 25.019000000000002
verified: no, type: mrr_at_1
value: 23.402
verified: no, type: mrr_at_10
value: 30.787
verified: no, type: mrr_at_100
value: 31.735000000000003
verified: no, type: mrr_at_1000
value: 31.806
verified: no, type: mrr_at_3
value: 28.33
verified: no, type: mrr_at_5
value: 29.711
verified: no, type: ndcg_at_1
value: 23.402
verified: no, type: ndcg_at_10
value: 30.971
verified: no, type: ndcg_at_100
value: 36.61
verified: no, type: ndcg_at_1000
value: 39.507999999999996
verified: no, type: ndcg_at_3
value: 26.352999999999998
verified: no, type: ndcg_at_5
value: 28.488000000000003
verified: no, type: precision_at_1
value: 23.402
verified: no, type: precision_at_10
value: 5.799
verified: no, type: precision_at_100
value: 1
verified: no, type: precision_at_1000
value: 0.14100000000000001
verified: no, type: precision_at_3
value: 12.633
verified: no, type: precision_at_5
value: 9.269
verified: no, type: recall_at_1
value: 18.902
verified: no, type: recall_at_10
value: 40.929
verified: no, type: recall_at_100
value: 65.594
verified: no, type: recall_at_1000
value: 85.961
verified: no, type: recall_at_3
value: 28.121000000000002
verified: no, type: recall_at_5
value: 33.638
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 19.168
verified: no, type: map_at_10
value: 25.142999999999997
verified: no, type: map_at_100
value: 25.993
verified: no, type: map_at_1000
value: 26.076
verified: no, type: map_at_3
value: 23.179
verified: no, type: map_at_5
value: 24.322
verified: no, type: mrr_at_1
value: 21.933
verified: no, type: mrr_at_10
value: 27.72
verified: no, type: mrr_at_100
value: 28.518
verified: no, type: mrr_at_1000
value: 28.582
verified: no, type: mrr_at_3
value: 25.791999999999998
verified: no, type: mrr_at_5
value: 26.958
verified: no, type: ndcg_at_1
value: 21.933
verified: no, type: ndcg_at_10
value: 28.866999999999997
verified: no, type: ndcg_at_100
value: 33.285
verified: no, type: ndcg_at_1000
value: 35.591
verified: no, type: ndcg_at_3
value: 25.202999999999996
verified: no, type: ndcg_at_5
value: 27.045
verified: no, type: precision_at_1
value: 21.933
verified: no, type: precision_at_10
value: 4.632
verified: no, type: precision_at_100
value: 0.733
verified: no, type: precision_at_1000
value: 0.101
verified: no, type: precision_at_3
value: 10.992
verified: no, type: precision_at_5
value: 7.853000000000001
verified: no, type: recall_at_1
value: 19.168
verified: no, type: recall_at_10
value: 37.899
verified: no, type: recall_at_100
value: 58.54899999999999
verified: no, type: recall_at_1000
value: 75.666
verified: no, type: recall_at_3
value: 27.831
verified: no, type: recall_at_5
value: 32.336
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 12.764000000000001
verified: no, type: map_at_10
value: 17.757
verified: no, type: map_at_100
value: 18.677
verified: no, type: map_at_1000
value: 18.813
verified: no, type: map_at_3
value: 16.151
verified: no, type: map_at_5
value: 16.946
verified: no, type: mrr_at_1
value: 15.726
verified: no, type: mrr_at_10
value: 21.019
verified: no, type: mrr_at_100
value: 21.856
verified: no, type: mrr_at_1000
value: 21.954
verified: no, type: mrr_at_3
value: 19.282
verified: no, type: mrr_at_5
value: 20.189
verified: no, type: ndcg_at_1
value: 15.726
verified: no, type: ndcg_at_10
value: 21.259
verified: no, type: ndcg_at_100
value: 25.868999999999996
verified: no, type: ndcg_at_1000
value: 29.425
verified: no, type: ndcg_at_3
value: 18.204
verified: no, type: ndcg_at_5
value: 19.434
verified: no, type: precision_at_1
value: 15.726
verified: no, type: precision_at_10
value: 3.8920000000000003
verified: no, type: precision_at_100
value: 0.741
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 8.58
verified: no, type: precision_at_5
value: 6.132
verified: no, type: recall_at_1
value: 12.764000000000001
verified: no, type: recall_at_10
value: 28.639
verified: no, type: recall_at_100
value: 49.639
verified: no, type: recall_at_1000
value: 75.725
verified: no, type: recall_at_3
value: 19.883
verified: no, type: recall_at_5
value: 23.141000000000002
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.98
verified: no, type: map_at_10
value: 25.2
verified: no, type: map_at_100
value: 26.279000000000003
verified: no, type: map_at_1000
value: 26.399
verified: no, type: map_at_3
value: 23.399
verified: no, type: map_at_5
value: 24.284
verified: no, type: mrr_at_1
value: 22.015
verified: no, type: mrr_at_10
value: 28.555000000000003
verified: no, type: mrr_at_100
value: 29.497
verified: no, type: mrr_at_1000
value: 29.574
verified: no, type: mrr_at_3
value: 26.788
verified: no, type: mrr_at_5
value: 27.576
verified: no, type: ndcg_at_1
value: 22.015
verified: no, type: ndcg_at_10
value: 29.266
verified: no, type: ndcg_at_100
value: 34.721000000000004
verified: no, type: ndcg_at_1000
value: 37.659
verified: no, type: ndcg_at_3
value: 25.741000000000003
verified: no, type: ndcg_at_5
value: 27.044
verified: no, type: precision_at_1
value: 22.015
verified: no, type: precision_at_10
value: 4.897
verified: no, type: precision_at_100
value: 0.8540000000000001
verified: no, type: precision_at_1000
value: 0.122
verified: no, type: precision_at_3
value: 11.567
verified: no, type: precision_at_5
value: 7.9479999999999995
verified: no, type: recall_at_1
value: 18.98
verified: no, type: recall_at_10
value: 38.411
verified: no, type: recall_at_100
value: 63.164
verified: no, type: recall_at_1000
value: 84.292
verified: no, type: recall_at_3
value: 28.576
verified: no, type: recall_at_5
value: 31.789
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 20.372
verified: no, type: map_at_10
value: 27.161
verified: no, type: map_at_100
value: 28.364
verified: no, type: map_at_1000
value: 28.554000000000002
verified: no, type: map_at_3
value: 25.135
verified: no, type: map_at_5
value: 26.200000000000003
verified: no, type: mrr_at_1
value: 24.704
verified: no, type: mrr_at_10
value: 31.219
verified: no, type: mrr_at_100
value: 32.092
verified: no, type: mrr_at_1000
value: 32.181
verified: no, type: mrr_at_3
value: 29.282000000000004
verified: no, type: mrr_at_5
value: 30.359
verified: no, type: ndcg_at_1
value: 24.704
verified: no, type: ndcg_at_10
value: 31.622
verified: no, type: ndcg_at_100
value: 36.917
verified: no, type: ndcg_at_1000
value: 40.357
verified: no, type: ndcg_at_3
value: 28.398
verified: no, type: ndcg_at_5
value: 29.764000000000003
verified: no, type: precision_at_1
value: 24.704
verified: no, type: precision_at_10
value: 5.81
verified: no, type: precision_at_100
value: 1.208
verified: no, type: precision_at_1000
value: 0.209
verified: no, type: precision_at_3
value: 13.241
verified: no, type: precision_at_5
value: 9.407
verified: no, type: recall_at_1
value: 20.372
verified: no, type: recall_at_10
value: 40.053
verified: no, type: recall_at_100
value: 64.71000000000001
verified: no, type: recall_at_1000
value: 87.607
verified: no, type: recall_at_3
value: 29.961
verified: no, type: recall_at_5
value: 34.058
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 14.424000000000001
verified: no, type: map_at_10
value: 20.541999999999998
verified: no, type: map_at_100
value: 21.495
verified: no, type: map_at_1000
value: 21.604
verified: no, type: map_at_3
value: 18.608
verified: no, type: map_at_5
value: 19.783
verified: no, type: mrr_at_1
value: 15.895999999999999
verified: no, type: mrr_at_10
value: 22.484
verified: no, type: mrr_at_100
value: 23.376
verified: no, type: mrr_at_1000
value: 23.467
verified: no, type: mrr_at_3
value: 20.548
verified: no, type: mrr_at_5
value: 21.731
verified: no, type: ndcg_at_1
value: 15.895999999999999
verified: no, type: ndcg_at_10
value: 24.343
verified: no, type: ndcg_at_100
value: 29.181
verified: no, type: ndcg_at_1000
value: 32.330999999999996
verified: no, type: ndcg_at_3
value: 20.518
verified: no, type: ndcg_at_5
value: 22.561999999999998
verified: no, type: precision_at_1
value: 15.895999999999999
verified: no, type: precision_at_10
value: 3.9739999999999998
verified: no, type: precision_at_100
value: 0.6799999999999999
verified: no, type: precision_at_1000
value: 0.105
verified: no, type: precision_at_3
value: 9.057
verified: no, type: precision_at_5
value: 6.654
verified: no, type: recall_at_1
value: 14.424000000000001
verified: no, type: recall_at_10
value: 34.079
verified: no, type: recall_at_100
value: 56.728
verified: no, type: recall_at_1000
value: 80.765
verified: no, type: recall_at_3
value: 23.993000000000002
verified: no, type: recall_at_5
value: 28.838
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 41.665
verified: no, type: f1
value: 37.601137843331244
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 74.8052
verified: no, type: ap
value: 68.92588517572685
verified: no, type: f1
value: 74.66801685854456
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 91.2220702234382
verified: no, type: f1
value: 90.81687856852439
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 69.39124487004105
verified: no, type: f1
value: 51.8350043424968
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: 69.80497646267652
verified: no, type: f1
value: 67.34213899244814
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: 74.54270342972428
verified: no, type: f1
value: 74.02802500235784
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: 30.488580544269002
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 28.80426879476371
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.37970068676043
verified: no, type: mrr
value: 32.48523694064166
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 42.862710845031565
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: 54.270000736385626
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: 80.89215288990194
verified: no, type: cos_sim_spearman
value: 74.386413188675
verified: no, type: euclidean_pearson
value: 78.83679563989534
verified: no, type: euclidean_spearman
value: 74.29328198771996
verified: no, type: manhattan_pearson
value: 78.77968796707641
verified: no, type: manhattan_spearman
value: 74.20887429784696
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: 78.31858821914498
verified: no, type: cos_sim_spearman
value: 72.2217008523832
verified: no, type: euclidean_pearson
value: 75.38901061978429
verified: no, type: euclidean_spearman
value: 71.81255767675184
verified: no, type: manhattan_pearson
value: 75.49472202181288
verified: no, type: manhattan_spearman
value: 71.96322588726144
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: 79.48334648997455
verified: no, type: cos_sim_spearman
value: 80.99654029572798
verified: no, type: euclidean_pearson
value: 80.46546523970035
verified: no, type: euclidean_spearman
value: 80.90646216980744
verified: no, type: manhattan_pearson
value: 80.35474057857608
verified: no, type: manhattan_spearman
value: 80.8141299909659
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: 79.73826970784727
verified: no, type: cos_sim_spearman
value: 76.9926870133034
verified: no, type: euclidean_pearson
value: 79.6386542120984
verified: no, type: euclidean_spearman
value: 77.05041986942253
verified: no, type: manhattan_pearson
value: 79.61799508502459
verified: no, type: manhattan_spearman
value: 77.07169617647067
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: 83.93999019426069
verified: no, type: cos_sim_spearman
value: 85.21166521594695
verified: no, type: euclidean_pearson
value: 84.97207676326357
verified: no, type: euclidean_spearman
value: 85.40726578482739
verified: no, type: manhattan_pearson
value: 85.0386693192183
verified: no, type: manhattan_spearman
value: 85.49230945586409
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: 80.8133974034008
verified: no, type: cos_sim_spearman
value: 82.82919022688844
verified: no, type: euclidean_pearson
value: 81.92587923760179
verified: no, type: euclidean_spearman
value: 82.86629450518863
verified: no, type: manhattan_pearson
value: 81.98232365999253
verified: no, type: manhattan_spearman
value: 82.94313939920296
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: 86.12872422642363
verified: no, type: cos_sim_spearman
value: 87.77672179979807
verified: no, type: euclidean_pearson
value: 87.76172961705947
verified: no, type: euclidean_spearman
value: 87.9891393339215
verified: no, type: manhattan_pearson
value: 87.78863663568221
verified: no, type: manhattan_spearman
value: 88.08297053203866
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: 58.82824030232733
verified: no, type: cos_sim_spearman
value: 64.17079382633538
verified: no, type: euclidean_pearson
value: 61.31505225602925
verified: no, type: euclidean_spearman
value: 64.05080034530694
verified: no, type: manhattan_pearson
value: 61.77095758943306
verified: no, type: manhattan_spearman
value: 64.14475973774933
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: 81.39239803497064
verified: no, type: cos_sim_spearman
value: 81.76637354520439
verified: no, type: euclidean_pearson
value: 82.98008209033587
verified: no, type: euclidean_spearman
value: 82.18662536188657
verified: no, type: manhattan_pearson
value: 82.9630328314908
verified: no, type: manhattan_spearman
value: 82.13726553603003
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 79.45753132898741
verified: no, type: mrr
value: 93.84029822755313
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: 99.8019801980198
verified: no, type: cos_sim_ap
value: 94.58629018512772
verified: no, type: cos_sim_f1
value: 89.84771573604061
verified: no, type: cos_sim_precision
value: 91.23711340206185
verified: no, type: cos_sim_recall
value: 88.5
verified: no, type: dot_accuracy
value: 99.74950495049505
verified: no, type: dot_ap
value: 92.5761214576951
verified: no, type: dot_f1
value: 87.09841917389087
verified: no, type: dot_precision
value: 88.86576482830385
verified: no, type: dot_recall
value: 85.39999999999999
verified: no, type: euclidean_accuracy
value: 99.80495049504951
verified: no, type: euclidean_ap
value: 94.56231673602272
verified: no, type: euclidean_f1
value: 90.02531645569621
verified: no, type: euclidean_precision
value: 91.17948717948718
verified: no, type: euclidean_recall
value: 88.9
verified: no, type: manhattan_accuracy
value: 99.8009900990099
verified: no, type: manhattan_ap
value: 94.5775591647447
verified: no, type: manhattan_f1
value: 89.86384266263238
verified: no, type: manhattan_precision
value: 90.64089521871821
verified: no, type: manhattan_recall
value: 89.1
verified: no, type: max_accuracy
value: 99.80495049504951
verified: no, type: max_ap
value: 94.58629018512772
verified: no, type: max_f1
value: 90.02531645569621
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 53.088941385715735
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: 33.146129414825744
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 48.7511362739003
verified: no, type: mrr
value: 49.61682210763093
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 67.43820000000001
verified: no, type: ap
value: 12.899489312331003
verified: no, type: f1
value: 52.03468121072981
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 57.475947934352
verified: no, type: f1
value: 57.77676730676238
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 38.3463456299738
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: 83.94230196101806
verified: no, type: cos_sim_ap
value: 67.00916556336148
verified: no, type: cos_sim_f1
value: 63.046014257939085
verified: no, type: cos_sim_precision
value: 61.961783439490446
verified: no, type: cos_sim_recall
value: 64.16886543535621
verified: no, type: dot_accuracy
value: 83.18531322644095
verified: no, type: dot_ap
value: 63.112896030267066
verified: no, type: dot_f1
value: 59.06565656565657
verified: no, type: dot_precision
value: 56.63438256658596
verified: no, type: dot_recall
value: 61.715039577836414
verified: no, type: euclidean_accuracy
value: 83.94230196101806
verified: no, type: euclidean_ap
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verified: no, type: euclidean_f1
value: 63.08428413691571
verified: no, type: euclidean_precision
value: 58.9543682641596
verified: no, type: euclidean_recall
value: 67.83641160949868
verified: no, type: manhattan_accuracy
value: 83.91845979614949
verified: no, type: manhattan_ap
value: 66.9845327263072
verified: no, type: manhattan_f1
value: 62.693323274236135
verified: no, type: manhattan_precision
value: 59.884698534710544
verified: no, type: manhattan_recall
value: 65.77836411609499
verified: no, type: max_accuracy
value: 83.94230196101806
verified: no, type: max_ap
value: 67.19856676674463
verified: no, type: max_f1
value: 63.08428413691571
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: 88.0777738968448
verified: no, type: cos_sim_ap
value: 84.19747786536
verified: no, type: cos_sim_f1
value: 75.91830995817077
verified: no, type: cos_sim_precision
value: 69.84671107949033
verified: no, type: cos_sim_recall
value: 83.14598090545118
verified: no, type: dot_accuracy
value: 87.14246904955951
verified: no, type: dot_ap
value: 82.37528804640529
verified: no, type: dot_f1
value: 74.40963166732163
verified: no, type: dot_precision
value: 69.4127841098447
verified: no, type: dot_recall
value: 80.18170619032954
verified: no, type: euclidean_accuracy
value: 88.08359529630924
verified: no, type: euclidean_ap
value: 84.22633217661986
verified: no, type: euclidean_f1
value: 76.09190339866403
verified: no, type: euclidean_precision
value: 72.70304390517605
verified: no, type: euclidean_recall
value: 79.81213427779488
verified: no, type: manhattan_accuracy
value: 88.08359529630924
verified: no, type: manhattan_ap
value: 84.18362004611083
verified: no, type: manhattan_f1
value: 76.08789625360231
verified: no, type: manhattan_precision
value: 71.49336582724072
verified: no, type: manhattan_recall
value: 81.3135201724669
verified: no, type: max_accuracy
value: 88.08359529630924
verified: no, type: max_ap
value: 84.22633217661986
verified: no, type: max_f1
value: 76.09190339866403
verified: no
license: mit
language: en
Likes: 4 | All-time downloads: 36454
Created: 2023-09-21 13:21:02