Model: BAAI/bge-small-en-v1.5
Author: BAAI
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, pytorch, onnx, safetensors, bert, feature-extraction, sentence-similarity, transformers, mteb, en, arxiv:2401.03462, arxiv:2312.15503, arxiv:2311.13534, arxiv:2310.07554, arxiv:2309.07597, license:mit, model-index, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us
Card metadata: tags: sentence-transformers, feature-extraction, sentence-similarity, transformers, mteb
model-index: name: bge-small-en-v1.5
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 73.79104477611939
verified: no, type: ap
value: 37.21923821573361
verified: no, type: f1
value: 68.0914945617093
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 92.75377499999999
verified: no, type: ap
value: 89.46766124546022
verified: no, type: f1
value: 92.73884001331487
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: 46.986
verified: no, type: f1
value: 46.55936786727896
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 35.846000000000004
verified: no, type: map_at_10
value: 51.388
verified: no, type: map_at_100
value: 52.132999999999996
verified: no, type: map_at_1000
value: 52.141000000000005
verified: no, type: map_at_3
value: 47.037
verified: no, type: map_at_5
value: 49.579
verified: no, type: mrr_at_1
value: 36.558
verified: no, type: mrr_at_10
value: 51.658
verified: no, type: mrr_at_100
value: 52.402
verified: no, type: mrr_at_1000
value: 52.410000000000004
verified: no, type: mrr_at_3
value: 47.345
verified: no, type: mrr_at_5
value: 49.797999999999995
verified: no, type: ndcg_at_1
value: 35.846000000000004
verified: no, type: ndcg_at_10
value: 59.550000000000004
verified: no, type: ndcg_at_100
value: 62.596
verified: no, type: ndcg_at_1000
value: 62.759
verified: no, type: ndcg_at_3
value: 50.666999999999994
verified: no, type: ndcg_at_5
value: 55.228
verified: no, type: precision_at_1
value: 35.846000000000004
verified: no, type: precision_at_10
value: 8.542
verified: no, type: precision_at_100
value: 0.984
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 20.389
verified: no, type: precision_at_5
value: 14.438
verified: no, type: recall_at_1
value: 35.846000000000004
verified: no, type: recall_at_10
value: 85.42
verified: no, type: recall_at_100
value: 98.43499999999999
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 61.166
verified: no, type: recall_at_5
value: 72.191
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: 47.402770198163594
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 40.01545436974177
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 62.586465273207196
verified: no, type: mrr
value: 74.42169019038825
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 85.1891186537969
verified: no, type: cos_sim_spearman
value: 83.75492046087288
verified: no, type: euclidean_pearson
value: 84.11766204805357
verified: no, type: euclidean_spearman
value: 84.01456493126516
verified: no, type: manhattan_pearson
value: 84.2132950502772
verified: no, type: manhattan_spearman
value: 83.89227298813377
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 85.74025974025975
verified: no, type: f1
value: 85.71493566466381
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: 38.467181385006434
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: 34.719496037339056
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 29.587000000000003
verified: no, type: map_at_10
value: 41.114
verified: no, type: map_at_100
value: 42.532
verified: no, type: map_at_1000
value: 42.661
verified: no, type: map_at_3
value: 37.483
verified: no, type: map_at_5
value: 39.652
verified: no, type: mrr_at_1
value: 36.338
verified: no, type: mrr_at_10
value: 46.763
verified: no, type: mrr_at_100
value: 47.393
verified: no, type: mrr_at_1000
value: 47.445
verified: no, type: mrr_at_3
value: 43.538
verified: no, type: mrr_at_5
value: 45.556000000000004
verified: no, type: ndcg_at_1
value: 36.338
verified: no, type: ndcg_at_10
value: 47.658
verified: no, type: ndcg_at_100
value: 52.824000000000005
verified: no, type: ndcg_at_1000
value: 54.913999999999994
verified: no, type: ndcg_at_3
value: 41.989
verified: no, type: ndcg_at_5
value: 44.944
verified: no, type: precision_at_1
value: 36.338
verified: no, type: precision_at_10
value: 9.156
verified: no, type: precision_at_100
value: 1.4789999999999999
verified: no, type: precision_at_1000
value: 0.196
verified: no, type: precision_at_3
value: 20.076
verified: no, type: precision_at_5
value: 14.85
verified: no, type: recall_at_1
value: 29.587000000000003
verified: no, type: recall_at_10
value: 60.746
verified: no, type: recall_at_100
value: 82.157
verified: no, type: recall_at_1000
value: 95.645
verified: no, type: recall_at_3
value: 44.821
verified: no, type: recall_at_5
value: 52.819
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.239
verified: no, type: map_at_10
value: 39.989000000000004
verified: no, type: map_at_100
value: 41.196
verified: no, type: map_at_1000
value: 41.325
verified: no, type: map_at_3
value: 37.261
verified: no, type: map_at_5
value: 38.833
verified: no, type: mrr_at_1
value: 37.516
verified: no, type: mrr_at_10
value: 46.177
verified: no, type: mrr_at_100
value: 46.806
verified: no, type: mrr_at_1000
value: 46.849000000000004
verified: no, type: mrr_at_3
value: 44.002
verified: no, type: mrr_at_5
value: 45.34
verified: no, type: ndcg_at_1
value: 37.516
verified: no, type: ndcg_at_10
value: 45.586
verified: no, type: ndcg_at_100
value: 49.897000000000006
verified: no, type: ndcg_at_1000
value: 51.955
verified: no, type: ndcg_at_3
value: 41.684
verified: no, type: ndcg_at_5
value: 43.617
verified: no, type: precision_at_1
value: 37.516
verified: no, type: precision_at_10
value: 8.522
verified: no, type: precision_at_100
value: 1.374
verified: no, type: precision_at_1000
value: 0.184
verified: no, type: precision_at_3
value: 20.105999999999998
verified: no, type: precision_at_5
value: 14.152999999999999
verified: no, type: recall_at_1
value: 30.239
verified: no, type: recall_at_10
value: 55.03
verified: no, type: recall_at_100
value: 73.375
verified: no, type: recall_at_1000
value: 86.29599999999999
verified: no, type: recall_at_3
value: 43.269000000000005
verified: no, type: recall_at_5
value: 48.878
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 38.338
verified: no, type: map_at_10
value: 50.468999999999994
verified: no, type: map_at_100
value: 51.553000000000004
verified: no, type: map_at_1000
value: 51.608
verified: no, type: map_at_3
value: 47.107
verified: no, type: map_at_5
value: 49.101
verified: no, type: mrr_at_1
value: 44.201
verified: no, type: mrr_at_10
value: 54.057
verified: no, type: mrr_at_100
value: 54.764
verified: no, type: mrr_at_1000
value: 54.791000000000004
verified: no, type: mrr_at_3
value: 51.56699999999999
verified: no, type: mrr_at_5
value: 53.05
verified: no, type: ndcg_at_1
value: 44.201
verified: no, type: ndcg_at_10
value: 56.379000000000005
verified: no, type: ndcg_at_100
value: 60.645
verified: no, type: ndcg_at_1000
value: 61.73499999999999
verified: no, type: ndcg_at_3
value: 50.726000000000006
verified: no, type: ndcg_at_5
value: 53.58500000000001
verified: no, type: precision_at_1
value: 44.201
verified: no, type: precision_at_10
value: 9.141
verified: no, type: precision_at_100
value: 1.216
verified: no, type: precision_at_1000
value: 0.135
verified: no, type: precision_at_3
value: 22.654
verified: no, type: precision_at_5
value: 15.723999999999998
verified: no, type: recall_at_1
value: 38.338
verified: no, type: recall_at_10
value: 70.30499999999999
verified: no, type: recall_at_100
value: 88.77199999999999
verified: no, type: recall_at_1000
value: 96.49799999999999
verified: no, type: recall_at_3
value: 55.218
verified: no, type: recall_at_5
value: 62.104000000000006
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.682
verified: no, type: map_at_10
value: 33.498
verified: no, type: map_at_100
value: 34.461000000000006
verified: no, type: map_at_1000
value: 34.544000000000004
verified: no, type: map_at_3
value: 30.503999999999998
verified: no, type: map_at_5
value: 32.216
verified: no, type: mrr_at_1
value: 27.683999999999997
verified: no, type: mrr_at_10
value: 35.467999999999996
verified: no, type: mrr_at_100
value: 36.32
verified: no, type: mrr_at_1000
value: 36.386
verified: no, type: mrr_at_3
value: 32.618
verified: no, type: mrr_at_5
value: 34.262
verified: no, type: ndcg_at_1
value: 27.683999999999997
verified: no, type: ndcg_at_10
value: 38.378
verified: no, type: ndcg_at_100
value: 43.288
verified: no, type: ndcg_at_1000
value: 45.413
verified: no, type: ndcg_at_3
value: 32.586
verified: no, type: ndcg_at_5
value: 35.499
verified: no, type: precision_at_1
value: 27.683999999999997
verified: no, type: precision_at_10
value: 5.864
verified: no, type: precision_at_100
value: 0.882
verified: no, type: precision_at_1000
value: 0.11
verified: no, type: precision_at_3
value: 13.446
verified: no, type: precision_at_5
value: 9.718
verified: no, type: recall_at_1
value: 25.682
verified: no, type: recall_at_10
value: 51.712
verified: no, type: recall_at_100
value: 74.446
verified: no, type: recall_at_1000
value: 90.472
verified: no, type: recall_at_3
value: 36.236000000000004
verified: no, type: recall_at_5
value: 43.234
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.073999999999998
verified: no, type: map_at_10
value: 24.352999999999998
verified: no, type: map_at_100
value: 25.438
verified: no, type: map_at_1000
value: 25.545
verified: no, type: map_at_3
value: 21.614
verified: no, type: map_at_5
value: 23.104
verified: no, type: mrr_at_1
value: 19.776
verified: no, type: mrr_at_10
value: 28.837000000000003
verified: no, type: mrr_at_100
value: 29.755
verified: no, type: mrr_at_1000
value: 29.817
verified: no, type: mrr_at_3
value: 26.201999999999998
verified: no, type: mrr_at_5
value: 27.714
verified: no, type: ndcg_at_1
value: 19.776
verified: no, type: ndcg_at_10
value: 29.701
verified: no, type: ndcg_at_100
value: 35.307
verified: no, type: ndcg_at_1000
value: 37.942
verified: no, type: ndcg_at_3
value: 24.764
verified: no, type: ndcg_at_5
value: 27.025
verified: no, type: precision_at_1
value: 19.776
verified: no, type: precision_at_10
value: 5.659
verified: no, type: precision_at_100
value: 0.971
verified: no, type: precision_at_1000
value: 0.133
verified: no, type: precision_at_3
value: 12.065
verified: no, type: precision_at_5
value: 8.905000000000001
verified: no, type: recall_at_1
value: 16.073999999999998
verified: no, type: recall_at_10
value: 41.647
verified: no, type: recall_at_100
value: 66.884
verified: no, type: recall_at_1000
value: 85.91499999999999
verified: no, type: recall_at_3
value: 27.916
verified: no, type: recall_at_5
value: 33.729
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.444999999999997
verified: no, type: map_at_10
value: 38.218999999999994
verified: no, type: map_at_100
value: 39.595
verified: no, type: map_at_1000
value: 39.709
verified: no, type: map_at_3
value: 35.586
verified: no, type: map_at_5
value: 36.895
verified: no, type: mrr_at_1
value: 34.841
verified: no, type: mrr_at_10
value: 44.106
verified: no, type: mrr_at_100
value: 44.98
verified: no, type: mrr_at_1000
value: 45.03
verified: no, type: mrr_at_3
value: 41.979
verified: no, type: mrr_at_5
value: 43.047999999999995
verified: no, type: ndcg_at_1
value: 34.841
verified: no, type: ndcg_at_10
value: 43.922
verified: no, type: ndcg_at_100
value: 49.504999999999995
verified: no, type: ndcg_at_1000
value: 51.675000000000004
verified: no, type: ndcg_at_3
value: 39.858
verified: no, type: ndcg_at_5
value: 41.408
verified: no, type: precision_at_1
value: 34.841
verified: no, type: precision_at_10
value: 7.872999999999999
verified: no, type: precision_at_100
value: 1.2449999999999999
verified: no, type: precision_at_1000
value: 0.161
verified: no, type: precision_at_3
value: 18.993
verified: no, type: precision_at_5
value: 13.032
verified: no, type: recall_at_1
value: 28.444999999999997
verified: no, type: recall_at_10
value: 54.984
verified: no, type: recall_at_100
value: 78.342
verified: no, type: recall_at_1000
value: 92.77
verified: no, type: recall_at_3
value: 42.842999999999996
verified: no, type: recall_at_5
value: 47.247
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.072
verified: no, type: map_at_10
value: 32.354
verified: no, type: map_at_100
value: 33.800000000000004
verified: no, type: map_at_1000
value: 33.908
verified: no, type: map_at_3
value: 29.232000000000003
verified: no, type: map_at_5
value: 31.049
verified: no, type: mrr_at_1
value: 29.110000000000003
verified: no, type: mrr_at_10
value: 38.03
verified: no, type: mrr_at_100
value: 39.032
verified: no, type: mrr_at_1000
value: 39.086999999999996
verified: no, type: mrr_at_3
value: 35.407
verified: no, type: mrr_at_5
value: 36.76
verified: no, type: ndcg_at_1
value: 29.110000000000003
verified: no, type: ndcg_at_10
value: 38.231
verified: no, type: ndcg_at_100
value: 44.425
verified: no, type: ndcg_at_1000
value: 46.771
verified: no, type: ndcg_at_3
value: 33.095
verified: no, type: ndcg_at_5
value: 35.459
verified: no, type: precision_at_1
value: 29.110000000000003
verified: no, type: precision_at_10
value: 7.215000000000001
verified: no, type: precision_at_100
value: 1.2109999999999999
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 16.058
verified: no, type: precision_at_5
value: 11.644
verified: no, type: recall_at_1
value: 23.072
verified: no, type: recall_at_10
value: 50.285999999999994
verified: no, type: recall_at_100
value: 76.596
verified: no, type: recall_at_1000
value: 92.861
verified: no, type: recall_at_3
value: 35.702
verified: no, type: recall_at_5
value: 42.152
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.937916666666666
verified: no, type: map_at_10
value: 33.755250000000004
verified: no, type: map_at_100
value: 34.955999999999996
verified: no, type: map_at_1000
value: 35.070499999999996
verified: no, type: map_at_3
value: 30.98708333333333
verified: no, type: map_at_5
value: 32.51491666666666
verified: no, type: mrr_at_1
value: 29.48708333333333
verified: no, type: mrr_at_10
value: 37.92183333333334
verified: no, type: mrr_at_100
value: 38.76583333333333
verified: no, type: mrr_at_1000
value: 38.82466666666667
verified: no, type: mrr_at_3
value: 35.45125
verified: no, type: mrr_at_5
value: 36.827000000000005
verified: no, type: ndcg_at_1
value: 29.48708333333333
verified: no, type: ndcg_at_10
value: 39.05225
verified: no, type: ndcg_at_100
value: 44.25983333333334
verified: no, type: ndcg_at_1000
value: 46.568333333333335
verified: no, type: ndcg_at_3
value: 34.271583333333325
verified: no, type: ndcg_at_5
value: 36.483916666666666
verified: no, type: precision_at_1
value: 29.48708333333333
verified: no, type: precision_at_10
value: 6.865749999999999
verified: no, type: precision_at_100
value: 1.1195833333333332
verified: no, type: precision_at_1000
value: 0.15058333333333335
verified: no, type: precision_at_3
value: 15.742083333333333
verified: no, type: precision_at_5
value: 11.221916666666667
verified: no, type: recall_at_1
value: 24.937916666666666
verified: no, type: recall_at_10
value: 50.650416666666665
verified: no, type: recall_at_100
value: 73.55383333333334
verified: no, type: recall_at_1000
value: 89.61691666666667
verified: no, type: recall_at_3
value: 37.27808333333334
verified: no, type: recall_at_5
value: 42.99475
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.947
verified: no, type: map_at_10
value: 30.575000000000003
verified: no, type: map_at_100
value: 31.465
verified: no, type: map_at_1000
value: 31.558000000000003
verified: no, type: map_at_3
value: 28.814
verified: no, type: map_at_5
value: 29.738999999999997
verified: no, type: mrr_at_1
value: 26.994
verified: no, type: mrr_at_10
value: 33.415
verified: no, type: mrr_at_100
value: 34.18
verified: no, type: mrr_at_1000
value: 34.245
verified: no, type: mrr_at_3
value: 31.621
verified: no, type: mrr_at_5
value: 32.549
verified: no, type: ndcg_at_1
value: 26.994
verified: no, type: ndcg_at_10
value: 34.482
verified: no, type: ndcg_at_100
value: 38.915
verified: no, type: ndcg_at_1000
value: 41.355
verified: no, type: ndcg_at_3
value: 31.139
verified: no, type: ndcg_at_5
value: 32.589
verified: no, type: precision_at_1
value: 26.994
verified: no, type: precision_at_10
value: 5.322
verified: no, type: precision_at_100
value: 0.8160000000000001
verified: no, type: precision_at_1000
value: 0.11100000000000002
verified: no, type: precision_at_3
value: 13.344000000000001
verified: no, type: precision_at_5
value: 8.988
verified: no, type: recall_at_1
value: 23.947
verified: no, type: recall_at_10
value: 43.647999999999996
verified: no, type: recall_at_100
value: 63.851
verified: no, type: recall_at_1000
value: 82
verified: no, type: recall_at_3
value: 34.288000000000004
verified: no, type: recall_at_5
value: 38.117000000000004
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.197
verified: no, type: map_at_10
value: 22.968
verified: no, type: map_at_100
value: 24.095
verified: no, type: map_at_1000
value: 24.217
verified: no, type: map_at_3
value: 20.771
verified: no, type: map_at_5
value: 21.995
verified: no, type: mrr_at_1
value: 19.511
verified: no, type: mrr_at_10
value: 26.55
verified: no, type: mrr_at_100
value: 27.500999999999998
verified: no, type: mrr_at_1000
value: 27.578999999999997
verified: no, type: mrr_at_3
value: 24.421
verified: no, type: mrr_at_5
value: 25.604
verified: no, type: ndcg_at_1
value: 19.511
verified: no, type: ndcg_at_10
value: 27.386
verified: no, type: ndcg_at_100
value: 32.828
verified: no, type: ndcg_at_1000
value: 35.739
verified: no, type: ndcg_at_3
value: 23.405
verified: no, type: ndcg_at_5
value: 25.255
verified: no, type: precision_at_1
value: 19.511
verified: no, type: precision_at_10
value: 5.017
verified: no, type: precision_at_100
value: 0.91
verified: no, type: precision_at_1000
value: 0.133
verified: no, type: precision_at_3
value: 11.023
verified: no, type: precision_at_5
value: 8.025
verified: no, type: recall_at_1
value: 16.197
verified: no, type: recall_at_10
value: 37.09
verified: no, type: recall_at_100
value: 61.778
verified: no, type: recall_at_1000
value: 82.56599999999999
verified: no, type: recall_at_3
value: 26.034000000000002
verified: no, type: recall_at_5
value: 30.762
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.41
verified: no, type: map_at_10
value: 33.655
verified: no, type: map_at_100
value: 34.892
verified: no, type: map_at_1000
value: 34.995
verified: no, type: map_at_3
value: 30.94
verified: no, type: map_at_5
value: 32.303
verified: no, type: mrr_at_1
value: 29.477999999999998
verified: no, type: mrr_at_10
value: 37.443
verified: no, type: mrr_at_100
value: 38.383
verified: no, type: mrr_at_1000
value: 38.440000000000005
verified: no, type: mrr_at_3
value: 34.949999999999996
verified: no, type: mrr_at_5
value: 36.228
verified: no, type: ndcg_at_1
value: 29.477999999999998
verified: no, type: ndcg_at_10
value: 38.769
verified: no, type: ndcg_at_100
value: 44.245000000000005
verified: no, type: ndcg_at_1000
value: 46.593
verified: no, type: ndcg_at_3
value: 33.623
verified: no, type: ndcg_at_5
value: 35.766
verified: no, type: precision_at_1
value: 29.477999999999998
verified: no, type: precision_at_10
value: 6.455
verified: no, type: precision_at_100
value: 1.032
verified: no, type: precision_at_1000
value: 0.135
verified: no, type: precision_at_3
value: 14.893999999999998
verified: no, type: precision_at_5
value: 10.485
verified: no, type: recall_at_1
value: 25.41
verified: no, type: recall_at_10
value: 50.669
verified: no, type: recall_at_100
value: 74.084
verified: no, type: recall_at_1000
value: 90.435
verified: no, type: recall_at_3
value: 36.679
verified: no, type: recall_at_5
value: 41.94
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.339
verified: no, type: map_at_10
value: 31.852000000000004
verified: no, type: map_at_100
value: 33.411
verified: no, type: map_at_1000
value: 33.62
verified: no, type: map_at_3
value: 28.929
verified: no, type: map_at_5
value: 30.542
verified: no, type: mrr_at_1
value: 28.063
verified: no, type: mrr_at_10
value: 36.301
verified: no, type: mrr_at_100
value: 37.288
verified: no, type: mrr_at_1000
value: 37.349
verified: no, type: mrr_at_3
value: 33.663
verified: no, type: mrr_at_5
value: 35.165
verified: no, type: ndcg_at_1
value: 28.063
verified: no, type: ndcg_at_10
value: 37.462
verified: no, type: ndcg_at_100
value: 43.620999999999995
verified: no, type: ndcg_at_1000
value: 46.211
verified: no, type: ndcg_at_3
value: 32.68
verified: no, type: ndcg_at_5
value: 34.981
verified: no, type: precision_at_1
value: 28.063
verified: no, type: precision_at_10
value: 7.1739999999999995
verified: no, type: precision_at_100
value: 1.486
verified: no, type: precision_at_1000
value: 0.23500000000000001
verified: no, type: precision_at_3
value: 15.217
verified: no, type: precision_at_5
value: 11.265
verified: no, type: recall_at_1
value: 23.339
verified: no, type: recall_at_10
value: 48.376999999999995
verified: no, type: recall_at_100
value: 76.053
verified: no, type: recall_at_1000
value: 92.455
verified: no, type: recall_at_3
value: 34.735
verified: no, type: recall_at_5
value: 40.71
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.925
verified: no, type: map_at_10
value: 26.017000000000003
verified: no, type: map_at_100
value: 27.034000000000002
verified: no, type: map_at_1000
value: 27.156000000000002
verified: no, type: map_at_3
value: 23.604
verified: no, type: map_at_5
value: 24.75
verified: no, type: mrr_at_1
value: 20.333000000000002
verified: no, type: mrr_at_10
value: 27.915
verified: no, type: mrr_at_100
value: 28.788000000000004
verified: no, type: mrr_at_1000
value: 28.877999999999997
verified: no, type: mrr_at_3
value: 25.446999999999996
verified: no, type: mrr_at_5
value: 26.648
verified: no, type: ndcg_at_1
value: 20.333000000000002
verified: no, type: ndcg_at_10
value: 30.673000000000002
verified: no, type: ndcg_at_100
value: 35.618
verified: no, type: ndcg_at_1000
value: 38.517
verified: no, type: ndcg_at_3
value: 25.71
verified: no, type: ndcg_at_5
value: 27.679
verified: no, type: precision_at_1
value: 20.333000000000002
verified: no, type: precision_at_10
value: 4.9910000000000005
verified: no, type: precision_at_100
value: 0.8130000000000001
verified: no, type: precision_at_1000
value: 0.117
verified: no, type: precision_at_3
value: 11.029
verified: no, type: precision_at_5
value: 7.8740000000000006
verified: no, type: recall_at_1
value: 18.925
verified: no, type: recall_at_10
value: 43.311
verified: no, type: recall_at_100
value: 66.308
verified: no, type: recall_at_1000
value: 87.49
verified: no, type: recall_at_3
value: 29.596
verified: no, type: recall_at_5
value: 34.245
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 13.714
verified: no, type: map_at_10
value: 23.194
verified: no, type: map_at_100
value: 24.976000000000003
verified: no, type: map_at_1000
value: 25.166
verified: no, type: map_at_3
value: 19.709
verified: no, type: map_at_5
value: 21.523999999999997
verified: no, type: mrr_at_1
value: 30.619000000000003
verified: no, type: mrr_at_10
value: 42.563
verified: no, type: mrr_at_100
value: 43.386
verified: no, type: mrr_at_1000
value: 43.423
verified: no, type: mrr_at_3
value: 39.555
verified: no, type: mrr_at_5
value: 41.268
verified: no, type: ndcg_at_1
value: 30.619000000000003
verified: no, type: ndcg_at_10
value: 31.836
verified: no, type: ndcg_at_100
value: 38.652
verified: no, type: ndcg_at_1000
value: 42.088
verified: no, type: ndcg_at_3
value: 26.733
verified: no, type: ndcg_at_5
value: 28.435
verified: no, type: precision_at_1
value: 30.619000000000003
verified: no, type: precision_at_10
value: 9.751999999999999
verified: no, type: precision_at_100
value: 1.71
verified: no, type: precision_at_1000
value: 0.23500000000000001
verified: no, type: precision_at_3
value: 19.935
verified: no, type: precision_at_5
value: 14.984
verified: no, type: recall_at_1
value: 13.714
verified: no, type: recall_at_10
value: 37.26
verified: no, type: recall_at_100
value: 60.546
verified: no, type: recall_at_1000
value: 79.899
verified: no, type: recall_at_3
value: 24.325
verified: no, type: recall_at_5
value: 29.725
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 8.462
verified: no, type: map_at_10
value: 18.637
verified: no, type: map_at_100
value: 26.131999999999998
verified: no, type: map_at_1000
value: 27.607
verified: no, type: map_at_3
value: 13.333
verified: no, type: map_at_5
value: 15.654000000000002
verified: no, type: mrr_at_1
value: 66.25
verified: no, type: mrr_at_10
value: 74.32600000000001
verified: no, type: mrr_at_100
value: 74.60900000000001
verified: no, type: mrr_at_1000
value: 74.62
verified: no, type: mrr_at_3
value: 72.667
verified: no, type: mrr_at_5
value: 73.817
verified: no, type: ndcg_at_1
value: 53.87499999999999
verified: no, type: ndcg_at_10
value: 40.028999999999996
verified: no, type: ndcg_at_100
value: 44.199
verified: no, type: ndcg_at_1000
value: 51.629999999999995
verified: no, type: ndcg_at_3
value: 44.113
verified: no, type: ndcg_at_5
value: 41.731
verified: no, type: precision_at_1
value: 66.25
verified: no, type: precision_at_10
value: 31.900000000000002
verified: no, type: precision_at_100
value: 10.043000000000001
verified: no, type: precision_at_1000
value: 1.926
verified: no, type: precision_at_3
value: 47.417
verified: no, type: precision_at_5
value: 40.65
verified: no, type: recall_at_1
value: 8.462
verified: no, type: recall_at_10
value: 24.293
verified: no, type: recall_at_100
value: 50.146
verified: no, type: recall_at_1000
value: 74.034
verified: no, type: recall_at_3
value: 14.967
verified: no, type: recall_at_5
value: 18.682000000000002
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 47.84499999999999
verified: no, type: f1
value: 42.48106691979349
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 74.034
verified: no, type: map_at_10
value: 82.76
verified: no, type: map_at_100
value: 82.968
verified: no, type: map_at_1000
value: 82.98299999999999
verified: no, type: map_at_3
value: 81.768
verified: no, type: map_at_5
value: 82.418
verified: no, type: mrr_at_1
value: 80.048
verified: no, type: mrr_at_10
value: 87.64999999999999
verified: no, type: mrr_at_100
value: 87.712
verified: no, type: mrr_at_1000
value: 87.713
verified: no, type: mrr_at_3
value: 87.01100000000001
verified: no, type: mrr_at_5
value: 87.466
verified: no, type: ndcg_at_1
value: 80.048
verified: no, type: ndcg_at_10
value: 86.643
verified: no, type: ndcg_at_100
value: 87.361
verified: no, type: ndcg_at_1000
value: 87.606
verified: no, type: ndcg_at_3
value: 85.137
verified: no, type: ndcg_at_5
value: 86.016
verified: no, type: precision_at_1
value: 80.048
verified: no, type: precision_at_10
value: 10.372
verified: no, type: precision_at_100
value: 1.093
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 32.638
verified: no, type: precision_at_5
value: 20.177
verified: no, type: recall_at_1
value: 74.034
verified: no, type: recall_at_10
value: 93.769
verified: no, type: recall_at_100
value: 96.569
verified: no, type: recall_at_1000
value: 98.039
verified: no, type: recall_at_3
value: 89.581
verified: no, type: recall_at_5
value: 91.906
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 20.5
verified: no, type: map_at_10
value: 32.857
verified: no, type: map_at_100
value: 34.589
verified: no, type: map_at_1000
value: 34.778
verified: no, type: map_at_3
value: 29.160999999999998
verified: no, type: map_at_5
value: 31.033
verified: no, type: mrr_at_1
value: 40.123
verified: no, type: mrr_at_10
value: 48.776
verified: no, type: mrr_at_100
value: 49.495
verified: no, type: mrr_at_1000
value: 49.539
verified: no, type: mrr_at_3
value: 46.605000000000004
verified: no, type: mrr_at_5
value: 47.654
verified: no, type: ndcg_at_1
value: 40.123
verified: no, type: ndcg_at_10
value: 40.343
verified: no, type: ndcg_at_100
value: 46.56
verified: no, type: ndcg_at_1000
value: 49.777
verified: no, type: ndcg_at_3
value: 37.322
verified: no, type: ndcg_at_5
value: 37.791000000000004
verified: no, type: precision_at_1
value: 40.123
verified: no, type: precision_at_10
value: 11.08
verified: no, type: precision_at_100
value: 1.752
verified: no, type: precision_at_1000
value: 0.232
verified: no, type: precision_at_3
value: 24.897
verified: no, type: precision_at_5
value: 17.809
verified: no, type: recall_at_1
value: 20.5
verified: no, type: recall_at_10
value: 46.388
verified: no, type: recall_at_100
value: 69.552
verified: no, type: recall_at_1000
value: 89.011
verified: no, type: recall_at_3
value: 33.617999999999995
verified: no, type: recall_at_5
value: 38.211
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 39.135999999999996
verified: no, type: map_at_10
value: 61.673
verified: no, type: map_at_100
value: 62.562
verified: no, type: map_at_1000
value: 62.62
verified: no, type: map_at_3
value: 58.467999999999996
verified: no, type: map_at_5
value: 60.463
verified: no, type: mrr_at_1
value: 78.271
verified: no, type: mrr_at_10
value: 84.119
verified: no, type: mrr_at_100
value: 84.29299999999999
verified: no, type: mrr_at_1000
value: 84.299
verified: no, type: mrr_at_3
value: 83.18900000000001
verified: no, type: mrr_at_5
value: 83.786
verified: no, type: ndcg_at_1
value: 78.271
verified: no, type: ndcg_at_10
value: 69.935
verified: no, type: ndcg_at_100
value: 73.01299999999999
verified: no, type: ndcg_at_1000
value: 74.126
verified: no, type: ndcg_at_3
value: 65.388
verified: no, type: ndcg_at_5
value: 67.906
verified: no, type: precision_at_1
value: 78.271
verified: no, type: precision_at_10
value: 14.562
verified: no, type: precision_at_100
value: 1.6969999999999998
verified: no, type: precision_at_1000
value: 0.184
verified: no, type: precision_at_3
value: 41.841
verified: no, type: precision_at_5
value: 27.087
verified: no, type: recall_at_1
value: 39.135999999999996
verified: no, type: recall_at_10
value: 72.809
verified: no, type: recall_at_100
value: 84.86200000000001
verified: no, type: recall_at_1000
value: 92.208
verified: no, type: recall_at_3
value: 62.76199999999999
verified: no, type: recall_at_5
value: 67.718
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 90.60600000000001
verified: no, type: ap
value: 86.6579587804335
verified: no, type: f1
value: 90.5938853929307
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 21.852
verified: no, type: map_at_10
value: 33.982
verified: no, type: map_at_100
value: 35.116
verified: no, type: map_at_1000
value: 35.167
verified: no, type: map_at_3
value: 30.134
verified: no, type: map_at_5
value: 32.340999999999994
verified: no, type: mrr_at_1
value: 22.479
verified: no, type: mrr_at_10
value: 34.594
verified: no, type: mrr_at_100
value: 35.672
verified: no, type: mrr_at_1000
value: 35.716
verified: no, type: mrr_at_3
value: 30.84
verified: no, type: mrr_at_5
value: 32.998
verified: no, type: ndcg_at_1
value: 22.493
verified: no, type: ndcg_at_10
value: 40.833000000000006
verified: no, type: ndcg_at_100
value: 46.357
verified: no, type: ndcg_at_1000
value: 47.637
verified: no, type: ndcg_at_3
value: 32.995999999999995
verified: no, type: ndcg_at_5
value: 36.919000000000004
verified: no, type: precision_at_1
value: 22.493
verified: no, type: precision_at_10
value: 6.465999999999999
verified: no, type: precision_at_100
value: 0.9249999999999999
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 14.030999999999999
verified: no, type: precision_at_5
value: 10.413
verified: no, type: recall_at_1
value: 21.852
verified: no, type: recall_at_10
value: 61.934999999999995
verified: no, type: recall_at_100
value: 87.611
verified: no, type: recall_at_1000
value: 97.441
verified: no, type: recall_at_3
value: 40.583999999999996
verified: no, type: recall_at_5
value: 49.992999999999995
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.36069311445507
verified: no, type: f1
value: 93.16456330371453
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 74.74692202462381
verified: no, type: f1
value: 58.17903579421599
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: 74.80833893745796
verified: no, type: f1
value: 72.70786592684664
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: 78.69872225958305
verified: no, type: f1
value: 78.61626934504731
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: 33.058658628717694
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: 30.85561739360599
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.290259910144385
verified: no, type: mrr
value: 32.44223046102856
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.288
verified: no, type: map_at_10
value: 12.267999999999999
verified: no, type: map_at_100
value: 15.557000000000002
verified: no, type: map_at_1000
value: 16.98
verified: no, type: map_at_3
value: 8.866
verified: no, type: map_at_5
value: 10.418
verified: no, type: mrr_at_1
value: 43.653
verified: no, type: mrr_at_10
value: 52.681
verified: no, type: mrr_at_100
value: 53.315999999999995
verified: no, type: mrr_at_1000
value: 53.357
verified: no, type: mrr_at_3
value: 51.393
verified: no, type: mrr_at_5
value: 51.903999999999996
verified: no, type: ndcg_at_1
value: 42.415000000000006
verified: no, type: ndcg_at_10
value: 34.305
verified: no, type: ndcg_at_100
value: 30.825999999999997
verified: no, type: ndcg_at_1000
value: 39.393
verified: no, type: ndcg_at_3
value: 39.931
verified: no, type: ndcg_at_5
value: 37.519999999999996
verified: no, type: precision_at_1
value: 43.653
verified: no, type: precision_at_10
value: 25.728
verified: no, type: precision_at_100
value: 7.932
verified: no, type: precision_at_1000
value: 2.07
verified: no, type: precision_at_3
value: 38.184000000000005
verified: no, type: precision_at_5
value: 32.879000000000005
verified: no, type: recall_at_1
value: 5.288
verified: no, type: recall_at_10
value: 16.195
verified: no, type: recall_at_100
value: 31.135
verified: no, type: recall_at_1000
value: 61.531000000000006
verified: no, type: recall_at_3
value: 10.313
verified: no, type: recall_at_5
value: 12.754999999999999
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.216
verified: no, type: map_at_10
value: 42.588
verified: no, type: map_at_100
value: 43.702999999999996
verified: no, type: map_at_1000
value: 43.739
verified: no, type: map_at_3
value: 38.177
verified: no, type: map_at_5
value: 40.754000000000005
verified: no, type: mrr_at_1
value: 31.866
verified: no, type: mrr_at_10
value: 45.189
verified: no, type: mrr_at_100
value: 46.056000000000004
verified: no, type: mrr_at_1000
value: 46.081
verified: no, type: mrr_at_3
value: 41.526999999999994
verified: no, type: mrr_at_5
value: 43.704
verified: no, type: ndcg_at_1
value: 31.837
verified: no, type: ndcg_at_10
value: 50.178
verified: no, type: ndcg_at_100
value: 54.98800000000001
verified: no, type: ndcg_at_1000
value: 55.812
verified: no, type: ndcg_at_3
value: 41.853
verified: no, type: ndcg_at_5
value: 46.153
verified: no, type: precision_at_1
value: 31.837
verified: no, type: precision_at_10
value: 8.43
verified: no, type: precision_at_100
value: 1.1119999999999999
verified: no, type: precision_at_1000
value: 0.11900000000000001
verified: no, type: precision_at_3
value: 19.023
verified: no, type: precision_at_5
value: 13.911000000000001
verified: no, type: recall_at_1
value: 28.216
verified: no, type: recall_at_10
value: 70.8
verified: no, type: recall_at_100
value: 91.857
verified: no, type: recall_at_1000
value: 97.941
verified: no, type: recall_at_3
value: 49.196
verified: no, type: recall_at_5
value: 59.072
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 71.22800000000001
verified: no, type: map_at_10
value: 85.115
verified: no, type: map_at_100
value: 85.72
verified: no, type: map_at_1000
value: 85.737
verified: no, type: map_at_3
value: 82.149
verified: no, type: map_at_5
value: 84.029
verified: no, type: mrr_at_1
value: 81.96
verified: no, type: mrr_at_10
value: 88.00200000000001
verified: no, type: mrr_at_100
value: 88.088
verified: no, type: mrr_at_1000
value: 88.089
verified: no, type: mrr_at_3
value: 87.055
verified: no, type: mrr_at_5
value: 87.715
verified: no, type: ndcg_at_1
value: 82.01
verified: no, type: ndcg_at_10
value: 88.78
verified: no, type: ndcg_at_100
value: 89.91
verified: no, type: ndcg_at_1000
value: 90.013
verified: no, type: ndcg_at_3
value: 85.957
verified: no, type: ndcg_at_5
value: 87.56
verified: no, type: precision_at_1
value: 82.01
verified: no, type: precision_at_10
value: 13.462
verified: no, type: precision_at_100
value: 1.528
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.553
verified: no, type: precision_at_5
value: 24.732000000000003
verified: no, type: recall_at_1
value: 71.22800000000001
verified: no, type: recall_at_10
value: 95.69
verified: no, type: recall_at_100
value: 99.531
verified: no, type: recall_at_1000
value: 99.98
verified: no, type: recall_at_3
value: 87.632
verified: no, type: recall_at_5
value: 92.117
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 52.31768034366916
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: 60.640266772723606
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.7780000000000005
verified: no, type: map_at_10
value: 12.299
verified: no, type: map_at_100
value: 14.363000000000001
verified: no, type: map_at_1000
value: 14.71
verified: no, type: map_at_3
value: 8.738999999999999
verified: no, type: map_at_5
value: 10.397
verified: no, type: mrr_at_1
value: 23.599999999999998
verified: no, type: mrr_at_10
value: 34.845
verified: no, type: mrr_at_100
value: 35.916
verified: no, type: mrr_at_1000
value: 35.973
verified: no, type: mrr_at_3
value: 31.7
verified: no, type: mrr_at_5
value: 33.535
verified: no, type: ndcg_at_1
value: 23.599999999999998
verified: no, type: ndcg_at_10
value: 20.522000000000002
verified: no, type: ndcg_at_100
value: 28.737000000000002
verified: no, type: ndcg_at_1000
value: 34.596
verified: no, type: ndcg_at_3
value: 19.542
verified: no, type: ndcg_at_5
value: 16.958000000000002
verified: no, type: precision_at_1
value: 23.599999999999998
verified: no, type: precision_at_10
value: 10.67
verified: no, type: precision_at_100
value: 2.259
verified: no, type: precision_at_1000
value: 0.367
verified: no, type: precision_at_3
value: 18.333
verified: no, type: precision_at_5
value: 14.879999999999999
verified: no, type: recall_at_1
value: 4.7780000000000005
verified: no, type: recall_at_10
value: 21.617
verified: no, type: recall_at_100
value: 45.905
verified: no, type: recall_at_1000
value: 74.42
verified: no, type: recall_at_3
value: 11.148
verified: no, type: recall_at_5
value: 15.082999999999998
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: 83.22372750297885
verified: no, type: cos_sim_spearman
value: 79.40972617119405
verified: no, type: euclidean_pearson
value: 80.6101072020434
verified: no, type: euclidean_spearman
value: 79.53844217225202
verified: no, type: manhattan_pearson
value: 80.57265975286111
verified: no, type: manhattan_spearman
value: 79.46335611792958
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: 85.43713315520749
verified: no, type: cos_sim_spearman
value: 77.44128693329532
verified: no, type: euclidean_pearson
value: 81.63869928101123
verified: no, type: euclidean_spearman
value: 77.29512977961515
verified: no, type: manhattan_pearson
value: 81.63704185566183
verified: no, type: manhattan_spearman
value: 77.29909412738657
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: 81.59451537860527
verified: no, type: cos_sim_spearman
value: 82.97994638856723
verified: no, type: euclidean_pearson
value: 82.89478688288412
verified: no, type: euclidean_spearman
value: 83.58740751053104
verified: no, type: manhattan_pearson
value: 82.69140840941608
verified: no, type: manhattan_spearman
value: 83.33665956040555
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: 82.00756527711764
verified: no, type: cos_sim_spearman
value: 81.83560996841379
verified: no, type: euclidean_pearson
value: 82.07684151976518
verified: no, type: euclidean_spearman
value: 82.00913052060511
verified: no, type: manhattan_pearson
value: 82.05690778488794
verified: no, type: manhattan_spearman
value: 82.02260252019525
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 86.13710262895447
verified: no, type: cos_sim_spearman
value: 87.26412811156248
verified: no, type: euclidean_pearson
value: 86.94151453230228
verified: no, type: euclidean_spearman
value: 87.5363796699571
verified: no, type: manhattan_pearson
value: 86.86989424083748
verified: no, type: manhattan_spearman
value: 87.47315940781353
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: 83.0230597603627
verified: no, type: cos_sim_spearman
value: 84.93344499318864
verified: no, type: euclidean_pearson
value: 84.23754743431141
verified: no, type: euclidean_spearman
value: 85.09707376597099
verified: no, type: manhattan_pearson
value: 84.04325160987763
verified: no, type: manhattan_spearman
value: 84.89353071339909
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: 86.75620824563921
verified: no, type: cos_sim_spearman
value: 87.15065513706398
verified: no, type: euclidean_pearson
value: 88.26281533633521
verified: no, type: euclidean_spearman
value: 87.51963738643983
verified: no, type: manhattan_pearson
value: 88.25599267618065
verified: no, type: manhattan_spearman
value: 87.58048736047483
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: 64.74645319195137
verified: no, type: cos_sim_spearman
value: 65.29996325037214
verified: no, type: euclidean_pearson
value: 67.04297794086443
verified: no, type: euclidean_spearman
value: 65.43841726694343
verified: no, type: manhattan_pearson
value: 67.39459955690904
verified: no, type: manhattan_spearman
value: 65.92864704413651
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 84.31291020270801
verified: no, type: cos_sim_spearman
value: 85.86473738688068
verified: no, type: euclidean_pearson
value: 85.65537275064152
verified: no, type: euclidean_spearman
value: 86.13087454209642
verified: no, type: manhattan_pearson
value: 85.43946955047609
verified: no, type: manhattan_spearman
value: 85.91568175344916
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 85.93798118350695
verified: no, type: mrr
value: 95.93536274908824
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 57.594
verified: no, type: map_at_10
value: 66.81899999999999
verified: no, type: map_at_100
value: 67.368
verified: no, type: map_at_1000
value: 67.4
verified: no, type: map_at_3
value: 64.061
verified: no, type: map_at_5
value: 65.47
verified: no, type: mrr_at_1
value: 60.667
verified: no, type: mrr_at_10
value: 68.219
verified: no, type: mrr_at_100
value: 68.655
verified: no, type: mrr_at_1000
value: 68.684
verified: no, type: mrr_at_3
value: 66.22200000000001
verified: no, type: mrr_at_5
value: 67.289
verified: no, type: ndcg_at_1
value: 60.667
verified: no, type: ndcg_at_10
value: 71.275
verified: no, type: ndcg_at_100
value: 73.642
verified: no, type: ndcg_at_1000
value: 74.373
verified: no, type: ndcg_at_3
value: 66.521
verified: no, type: ndcg_at_5
value: 68.581
verified: no, type: precision_at_1
value: 60.667
verified: no, type: precision_at_10
value: 9.433
verified: no, type: precision_at_100
value: 1.0699999999999998
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 25.556
verified: no, type: precision_at_5
value: 16.8
verified: no, type: recall_at_1
value: 57.594
verified: no, type: recall_at_10
value: 83.622
verified: no, type: recall_at_100
value: 94.167
verified: no, type: recall_at_1000
value: 99.667
verified: no, type: recall_at_3
value: 70.64399999999999
verified: no, type: recall_at_5
value: 75.983
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: 99.85841584158416
verified: no, type: cos_sim_ap
value: 96.66996142314342
verified: no, type: cos_sim_f1
value: 92.83208020050125
verified: no, type: cos_sim_precision
value: 93.06532663316584
verified: no, type: cos_sim_recall
value: 92.60000000000001
verified: no, type: dot_accuracy
value: 99.85841584158416
verified: no, type: dot_ap
value: 96.6775307676576
verified: no, type: dot_f1
value: 92.69289729177312
verified: no, type: dot_precision
value: 94.77533960292581
verified: no, type: dot_recall
value: 90.7
verified: no, type: euclidean_accuracy
value: 99.86138613861387
verified: no, type: euclidean_ap
value: 96.6338454403108
verified: no, type: euclidean_f1
value: 92.92214357937311
verified: no, type: euclidean_precision
value: 93.96728016359918
verified: no, type: euclidean_recall
value: 91.9
verified: no, type: manhattan_accuracy
value: 99.86237623762376
verified: no, type: manhattan_ap
value: 96.60370449645053
verified: no, type: manhattan_f1
value: 92.91177970423253
verified: no, type: manhattan_precision
value: 94.7970863683663
verified: no, type: manhattan_recall
value: 91.10000000000001
verified: no, type: max_accuracy
value: 99.86237623762376
verified: no, type: max_ap
value: 96.6775307676576
verified: no, type: max_f1
value: 92.92214357937311
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 60.77977058695198
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 35.2725272535638
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 53.64052466362125
verified: no, type: mrr
value: 54.533067014684654
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 30.677624219206578
verified: no, type: cos_sim_spearman
value: 30.121368518123447
verified: no, type: dot_pearson
value: 30.69870088041608
verified: no, type: dot_spearman
value: 29.61284927093751
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.22
verified: no, type: map_at_10
value: 1.855
verified: no, type: map_at_100
value: 9.885
verified: no, type: map_at_1000
value: 23.416999999999998
verified: no, type: map_at_3
value: 0.637
verified: no, type: map_at_5
value: 1.024
verified: no, type: mrr_at_1
value: 88
verified: no, type: mrr_at_10
value: 93.067
verified: no, type: mrr_at_100
value: 93.067
verified: no, type: mrr_at_1000
value: 93.067
verified: no, type: mrr_at_3
value: 92.667
verified: no, type: mrr_at_5
value: 93.067
verified: no, type: ndcg_at_1
value: 82
verified: no, type: ndcg_at_10
value: 75.899
verified: no, type: ndcg_at_100
value: 55.115
verified: no, type: ndcg_at_1000
value: 48.368
verified: no, type: ndcg_at_3
value: 79.704
verified: no, type: ndcg_at_5
value: 78.39699999999999
verified: no, type: precision_at_1
value: 88
verified: no, type: precision_at_10
value: 79.60000000000001
verified: no, type: precision_at_100
value: 56.06
verified: no, type: precision_at_1000
value: 21.206
verified: no, type: precision_at_3
value: 84.667
verified: no, type: precision_at_5
value: 83.2
verified: no, type: recall_at_1
value: 0.22
verified: no, type: recall_at_10
value: 2.078
verified: no, type: recall_at_100
value: 13.297
verified: no, type: recall_at_1000
value: 44.979
verified: no, type: recall_at_3
value: 0.6689999999999999
verified: no, type: recall_at_5
value: 1.106
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.258
verified: no, type: map_at_10
value: 10.439
verified: no, type: map_at_100
value: 16.89
verified: no, type: map_at_1000
value: 18.407999999999998
verified: no, type: map_at_3
value: 5.668
verified: no, type: map_at_5
value: 7.718
verified: no, type: mrr_at_1
value: 32.653
verified: no, type: mrr_at_10
value: 51.159
verified: no, type: mrr_at_100
value: 51.714000000000006
verified: no, type: mrr_at_1000
value: 51.714000000000006
verified: no, type: mrr_at_3
value: 47.959
verified: no, type: mrr_at_5
value: 50.407999999999994
verified: no, type: ndcg_at_1
value: 29.592000000000002
verified: no, type: ndcg_at_10
value: 26.037
verified: no, type: ndcg_at_100
value: 37.924
verified: no, type: ndcg_at_1000
value: 49.126999999999995
verified: no, type: ndcg_at_3
value: 30.631999999999998
verified: no, type: ndcg_at_5
value: 28.571
verified: no, type: precision_at_1
value: 32.653
verified: no, type: precision_at_10
value: 22.857
verified: no, type: precision_at_100
value: 7.754999999999999
verified: no, type: precision_at_1000
value: 1.529
verified: no, type: precision_at_3
value: 34.014
verified: no, type: precision_at_5
value: 29.796
verified: no, type: recall_at_1
value: 2.258
verified: no, type: recall_at_10
value: 16.554
verified: no, type: recall_at_100
value: 48.439
verified: no, type: recall_at_1000
value: 82.80499999999999
verified: no, type: recall_at_3
value: 7.283
verified: no, type: recall_at_5
value: 10.732
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 69.8858
verified: no, type: ap
value: 13.835684144362109
verified: no, type: f1
value: 53.803351693244586
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 60.50650820599886
verified: no, type: f1
value: 60.84357825979259
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 48.52131044852134
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: 85.59337187816654
verified: no, type: cos_sim_ap
value: 73.23925826533437
verified: no, type: cos_sim_f1
value: 67.34693877551021
verified: no, type: cos_sim_precision
value: 62.40432237730752
verified: no, type: cos_sim_recall
value: 73.13984168865434
verified: no, type: dot_accuracy
value: 85.31322644096085
verified: no, type: dot_ap
value: 72.30723963807422
verified: no, type: dot_f1
value: 66.47051612112296
verified: no, type: dot_precision
value: 62.0792305930845
verified: no, type: dot_recall
value: 71.53034300791556
verified: no, type: euclidean_accuracy
value: 85.61125350181797
verified: no, type: euclidean_ap
value: 73.32843720487845
verified: no, type: euclidean_f1
value: 67.36549633745895
verified: no, type: euclidean_precision
value: 64.60755813953489
verified: no, type: euclidean_recall
value: 70.36939313984169
verified: no, type: manhattan_accuracy
value: 85.63509566668654
verified: no, type: manhattan_ap
value: 73.16658488311325
verified: no, type: manhattan_f1
value: 67.20597386434349
verified: no, type: manhattan_precision
value: 63.60424028268551
verified: no, type: manhattan_recall
value: 71.2401055408971
verified: no, type: max_accuracy
value: 85.63509566668654
verified: no, type: max_ap
value: 73.32843720487845
verified: no, type: max_f1
value: 67.36549633745895
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: 88.33779640625606
verified: no, type: cos_sim_ap
value: 84.83868375898157
verified: no, type: cos_sim_f1
value: 77.16506154017773
verified: no, type: cos_sim_precision
value: 74.62064005753327
verified: no, type: cos_sim_recall
value: 79.88912842623961
verified: no, type: dot_accuracy
value: 88.02732176815307
verified: no, type: dot_ap
value: 83.95089283763002
verified: no, type: dot_f1
value: 76.29635101196631
verified: no, type: dot_precision
value: 73.31771720613288
verified: no, type: dot_recall
value: 79.52725592854944
verified: no, type: euclidean_accuracy
value: 88.44452206310397
verified: no, type: euclidean_ap
value: 84.98384576824827
verified: no, type: euclidean_f1
value: 77.29311047696697
verified: no, type: euclidean_precision
value: 74.51232583065381
verified: no, type: euclidean_recall
value: 80.28949799815214
verified: no, type: manhattan_accuracy
value: 88.47362906042613
verified: no, type: manhattan_ap
value: 84.91421462218432
verified: no, type: manhattan_f1
value: 77.05107637204792
verified: no, type: manhattan_precision
value: 74.74484256243214
verified: no, type: manhattan_recall
value: 79.50415768401602
verified: no, type: max_accuracy
value: 88.47362906042613
verified: no, type: max_ap
value: 84.98384576824827
verified: no, type: max_f1
value: 77.29311047696697
verified: no
license: mit
language: en
Likes: 394 | All-time downloads: 98140164
Created: 2023-09-12 05:20:55