Model: WhereIsAI/UAE-Large-V1
Author: WhereIsAI
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, onnx, safetensors, openvino, bert, feature-extraction, mteb, sentence_embedding, feature_extraction, transformers, transformers.js, en, arxiv:2309.12871, license:mit, model-index, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us
Card metadata: tags: mteb, sentence_embedding, feature_extraction, sentence-transformers, transformers, transformers.js
model-index: name: UAE-Large-V1
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 75.55223880597015
verified: no, type: ap
value: 38.264070815317794
verified: no, type: f1
value: 69.40977934769845
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 92.84267499999999
verified: no, type: ap
value: 89.57568507997713
verified: no, type: f1
value: 92.82590734337774
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 48.292
verified: no, type: f1
value: 47.90257816032778
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 42.105
verified: no, type: map_at_10
value: 58.181000000000004
verified: no, type: map_at_100
value: 58.653999999999996
verified: no, type: map_at_1000
value: 58.657000000000004
verified: no, type: map_at_3
value: 54.386
verified: no, type: map_at_5
value: 56.757999999999996
verified: no, type: mrr_at_1
value: 42.745
verified: no, type: mrr_at_10
value: 58.437
verified: no, type: mrr_at_100
value: 58.894999999999996
verified: no, type: mrr_at_1000
value: 58.897999999999996
verified: no, type: mrr_at_3
value: 54.635
verified: no, type: mrr_at_5
value: 56.99999999999999
verified: no, type: ndcg_at_1
value: 42.105
verified: no, type: ndcg_at_10
value: 66.14999999999999
verified: no, type: ndcg_at_100
value: 68.048
verified: no, type: ndcg_at_1000
value: 68.11399999999999
verified: no, type: ndcg_at_3
value: 58.477000000000004
verified: no, type: ndcg_at_5
value: 62.768
verified: no, type: precision_at_1
value: 42.105
verified: no, type: precision_at_10
value: 9.110999999999999
verified: no, type: precision_at_100
value: 0.991
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 23.447000000000003
verified: no, type: precision_at_5
value: 16.159000000000002
verified: no, type: recall_at_1
value: 42.105
verified: no, type: recall_at_10
value: 91.11
verified: no, type: recall_at_100
value: 99.14699999999999
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 70.341
verified: no, type: recall_at_5
value: 80.797
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: 49.02580759154173
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: 43.093601280163554
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 64.19590406875427
verified: no, type: mrr
value: 77.09547992788991
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: 87.86678362843676
verified: no, type: cos_sim_spearman
value: 86.1423242570783
verified: no, type: euclidean_pearson
value: 85.98994198511751
verified: no, type: euclidean_spearman
value: 86.48209103503942
verified: no, type: manhattan_pearson
value: 85.6446436316182
verified: no, type: manhattan_spearman
value: 86.21039809734357
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 87.69155844155844
verified: no, type: f1
value: 87.68109381943547
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 39.37501687500394
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: 37.23401405155885
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.232
verified: no, type: map_at_10
value: 41.404999999999994
verified: no, type: map_at_100
value: 42.896
verified: no, type: map_at_1000
value: 43.028
verified: no, type: map_at_3
value: 37.925
verified: no, type: map_at_5
value: 39.865
verified: no, type: mrr_at_1
value: 36.338
verified: no, type: mrr_at_10
value: 46.969
verified: no, type: mrr_at_100
value: 47.684
verified: no, type: mrr_at_1000
value: 47.731
verified: no, type: mrr_at_3
value: 44.063
verified: no, type: mrr_at_5
value: 45.908
verified: no, type: ndcg_at_1
value: 36.338
verified: no, type: ndcg_at_10
value: 47.887
verified: no, type: ndcg_at_100
value: 53.357
verified: no, type: ndcg_at_1000
value: 55.376999999999995
verified: no, type: ndcg_at_3
value: 42.588
verified: no, type: ndcg_at_5
value: 45.132
verified: no, type: precision_at_1
value: 36.338
verified: no, type: precision_at_10
value: 9.17
verified: no, type: precision_at_100
value: 1.4909999999999999
verified: no, type: precision_at_1000
value: 0.196
verified: no, type: precision_at_3
value: 20.315
verified: no, type: precision_at_5
value: 14.793000000000001
verified: no, type: recall_at_1
value: 30.232
verified: no, type: recall_at_10
value: 60.67399999999999
verified: no, type: recall_at_100
value: 83.628
verified: no, type: recall_at_1000
value: 96.209
verified: no, type: recall_at_3
value: 45.48
verified: no, type: recall_at_5
value: 52.354
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.237
verified: no, type: map_at_10
value: 42.829
verified: no, type: map_at_100
value: 44.065
verified: no, type: map_at_1000
value: 44.199
verified: no, type: map_at_3
value: 39.885999999999996
verified: no, type: map_at_5
value: 41.55
verified: no, type: mrr_at_1
value: 40.064
verified: no, type: mrr_at_10
value: 48.611
verified: no, type: mrr_at_100
value: 49.245
verified: no, type: mrr_at_1000
value: 49.29
verified: no, type: mrr_at_3
value: 46.561
verified: no, type: mrr_at_5
value: 47.771
verified: no, type: ndcg_at_1
value: 40.064
verified: no, type: ndcg_at_10
value: 48.388
verified: no, type: ndcg_at_100
value: 52.666999999999994
verified: no, type: ndcg_at_1000
value: 54.67100000000001
verified: no, type: ndcg_at_3
value: 44.504
verified: no, type: ndcg_at_5
value: 46.303
verified: no, type: precision_at_1
value: 40.064
verified: no, type: precision_at_10
value: 9.051
verified: no, type: precision_at_100
value: 1.4500000000000002
verified: no, type: precision_at_1000
value: 0.193
verified: no, type: precision_at_3
value: 21.444
verified: no, type: precision_at_5
value: 15.045
verified: no, type: recall_at_1
value: 32.237
verified: no, type: recall_at_10
value: 57.943999999999996
verified: no, type: recall_at_100
value: 75.98700000000001
verified: no, type: recall_at_1000
value: 88.453
verified: no, type: recall_at_3
value: 46.268
verified: no, type: recall_at_5
value: 51.459999999999994
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 38.797
verified: no, type: map_at_10
value: 51.263000000000005
verified: no, type: map_at_100
value: 52.333
verified: no, type: map_at_1000
value: 52.393
verified: no, type: map_at_3
value: 47.936
verified: no, type: map_at_5
value: 49.844
verified: no, type: mrr_at_1
value: 44.389
verified: no, type: mrr_at_10
value: 54.601
verified: no, type: mrr_at_100
value: 55.300000000000004
verified: no, type: mrr_at_1000
value: 55.333
verified: no, type: mrr_at_3
value: 52.068999999999996
verified: no, type: mrr_at_5
value: 53.627
verified: no, type: ndcg_at_1
value: 44.389
verified: no, type: ndcg_at_10
value: 57.193000000000005
verified: no, type: ndcg_at_100
value: 61.307
verified: no, type: ndcg_at_1000
value: 62.529
verified: no, type: ndcg_at_3
value: 51.607
verified: no, type: ndcg_at_5
value: 54.409
verified: no, type: precision_at_1
value: 44.389
verified: no, type: precision_at_10
value: 9.26
verified: no, type: precision_at_100
value: 1.222
verified: no, type: precision_at_1000
value: 0.13699999999999998
verified: no, type: precision_at_3
value: 23.03
verified: no, type: precision_at_5
value: 15.887
verified: no, type: recall_at_1
value: 38.797
verified: no, type: recall_at_10
value: 71.449
verified: no, type: recall_at_100
value: 88.881
verified: no, type: recall_at_1000
value: 97.52
verified: no, type: recall_at_3
value: 56.503
verified: no, type: recall_at_5
value: 63.392
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.291999999999998
verified: no, type: map_at_10
value: 35.65
verified: no, type: map_at_100
value: 36.689
verified: no, type: map_at_1000
value: 36.753
verified: no, type: map_at_3
value: 32.995000000000005
verified: no, type: map_at_5
value: 34.409
verified: no, type: mrr_at_1
value: 29.04
verified: no, type: mrr_at_10
value: 37.486000000000004
verified: no, type: mrr_at_100
value: 38.394
verified: no, type: mrr_at_1000
value: 38.445
verified: no, type: mrr_at_3
value: 35.028
verified: no, type: mrr_at_5
value: 36.305
verified: no, type: ndcg_at_1
value: 29.04
verified: no, type: ndcg_at_10
value: 40.613
verified: no, type: ndcg_at_100
value: 45.733000000000004
verified: no, type: ndcg_at_1000
value: 47.447
verified: no, type: ndcg_at_3
value: 35.339999999999996
verified: no, type: ndcg_at_5
value: 37.706
verified: no, type: precision_at_1
value: 29.04
verified: no, type: precision_at_10
value: 6.192
verified: no, type: precision_at_100
value: 0.9249999999999999
verified: no, type: precision_at_1000
value: 0.11
verified: no, type: precision_at_3
value: 14.802000000000001
verified: no, type: precision_at_5
value: 10.305
verified: no, type: recall_at_1
value: 27.291999999999998
verified: no, type: recall_at_10
value: 54.25299999999999
verified: no, type: recall_at_100
value: 77.773
verified: no, type: recall_at_1000
value: 90.795
verified: no, type: recall_at_3
value: 39.731
verified: no, type: recall_at_5
value: 45.403999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.326
verified: no, type: map_at_10
value: 26.290999999999997
verified: no, type: map_at_100
value: 27.456999999999997
verified: no, type: map_at_1000
value: 27.583000000000002
verified: no, type: map_at_3
value: 23.578
verified: no, type: map_at_5
value: 25.113000000000003
verified: no, type: mrr_at_1
value: 22.637
verified: no, type: mrr_at_10
value: 31.139
verified: no, type: mrr_at_100
value: 32.074999999999996
verified: no, type: mrr_at_1000
value: 32.147
verified: no, type: mrr_at_3
value: 28.483000000000004
verified: no, type: mrr_at_5
value: 29.963
verified: no, type: ndcg_at_1
value: 22.637
verified: no, type: ndcg_at_10
value: 31.717000000000002
verified: no, type: ndcg_at_100
value: 37.201
verified: no, type: ndcg_at_1000
value: 40.088
verified: no, type: ndcg_at_3
value: 26.686
verified: no, type: ndcg_at_5
value: 29.076999999999998
verified: no, type: precision_at_1
value: 22.637
verified: no, type: precision_at_10
value: 5.7090000000000005
verified: no, type: precision_at_100
value: 0.979
verified: no, type: precision_at_1000
value: 0.13799999999999998
verified: no, type: precision_at_3
value: 12.894
verified: no, type: precision_at_5
value: 9.328
verified: no, type: recall_at_1
value: 18.326
verified: no, type: recall_at_10
value: 43.824999999999996
verified: no, type: recall_at_100
value: 67.316
verified: no, type: recall_at_1000
value: 87.481
verified: no, type: recall_at_3
value: 29.866999999999997
verified: no, type: recall_at_5
value: 35.961999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 29.875
verified: no, type: map_at_10
value: 40.458
verified: no, type: map_at_100
value: 41.772
verified: no, type: map_at_1000
value: 41.882999999999996
verified: no, type: map_at_3
value: 37.086999999999996
verified: no, type: map_at_5
value: 39.153
verified: no, type: mrr_at_1
value: 36.381
verified: no, type: mrr_at_10
value: 46.190999999999995
verified: no, type: mrr_at_100
value: 46.983999999999995
verified: no, type: mrr_at_1000
value: 47.032000000000004
verified: no, type: mrr_at_3
value: 43.486999999999995
verified: no, type: mrr_at_5
value: 45.249
verified: no, type: ndcg_at_1
value: 36.381
verified: no, type: ndcg_at_10
value: 46.602
verified: no, type: ndcg_at_100
value: 51.885999999999996
verified: no, type: ndcg_at_1000
value: 53.895
verified: no, type: ndcg_at_3
value: 41.155
verified: no, type: ndcg_at_5
value: 44.182
verified: no, type: precision_at_1
value: 36.381
verified: no, type: precision_at_10
value: 8.402
verified: no, type: precision_at_100
value: 1.278
verified: no, type: precision_at_1000
value: 0.16199999999999998
verified: no, type: precision_at_3
value: 19.346
verified: no, type: precision_at_5
value: 14.09
verified: no, type: recall_at_1
value: 29.875
verified: no, type: recall_at_10
value: 59.065999999999995
verified: no, type: recall_at_100
value: 80.923
verified: no, type: recall_at_1000
value: 93.927
verified: no, type: recall_at_3
value: 44.462
verified: no, type: recall_at_5
value: 51.89
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.94
verified: no, type: map_at_10
value: 35.125
verified: no, type: map_at_100
value: 36.476
verified: no, type: map_at_1000
value: 36.579
verified: no, type: map_at_3
value: 31.840000000000003
verified: no, type: map_at_5
value: 33.647
verified: no, type: mrr_at_1
value: 30.936000000000003
verified: no, type: mrr_at_10
value: 40.637
verified: no, type: mrr_at_100
value: 41.471000000000004
verified: no, type: mrr_at_1000
value: 41.525
verified: no, type: mrr_at_3
value: 38.013999999999996
verified: no, type: mrr_at_5
value: 39.469
verified: no, type: ndcg_at_1
value: 30.936000000000003
verified: no, type: ndcg_at_10
value: 41.295
verified: no, type: ndcg_at_100
value: 46.92
verified: no, type: ndcg_at_1000
value: 49.183
verified: no, type: ndcg_at_3
value: 35.811
verified: no, type: ndcg_at_5
value: 38.306000000000004
verified: no, type: precision_at_1
value: 30.936000000000003
verified: no, type: precision_at_10
value: 7.728
verified: no, type: precision_at_100
value: 1.226
verified: no, type: precision_at_1000
value: 0.158
verified: no, type: precision_at_3
value: 17.237
verified: no, type: precision_at_5
value: 12.42
verified: no, type: recall_at_1
value: 24.94
verified: no, type: recall_at_10
value: 54.235
verified: no, type: recall_at_100
value: 78.314
verified: no, type: recall_at_1000
value: 93.973
verified: no, type: recall_at_3
value: 38.925
verified: no, type: recall_at_5
value: 45.505
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.250833333333333
verified: no, type: map_at_10
value: 35.46875
verified: no, type: map_at_100
value: 36.667
verified: no, type: map_at_1000
value: 36.78025
verified: no, type: map_at_3
value: 32.56733333333334
verified: no, type: map_at_5
value: 34.20333333333333
verified: no, type: mrr_at_1
value: 30.8945
verified: no, type: mrr_at_10
value: 39.636833333333335
verified: no, type: mrr_at_100
value: 40.46508333333333
verified: no, type: mrr_at_1000
value: 40.521249999999995
verified: no, type: mrr_at_3
value: 37.140166666666666
verified: no, type: mrr_at_5
value: 38.60999999999999
verified: no, type: ndcg_at_1
value: 30.8945
verified: no, type: ndcg_at_10
value: 40.93441666666667
verified: no, type: ndcg_at_100
value: 46.062416666666664
verified: no, type: ndcg_at_1000
value: 48.28341666666667
verified: no, type: ndcg_at_3
value: 35.97575
verified: no, type: ndcg_at_5
value: 38.3785
verified: no, type: precision_at_1
value: 30.8945
verified: no, type: precision_at_10
value: 7.180250000000001
verified: no, type: precision_at_100
value: 1.1468333333333334
verified: no, type: precision_at_1000
value: 0.15283333333333332
verified: no, type: precision_at_3
value: 16.525583333333334
verified: no, type: precision_at_5
value: 11.798333333333332
verified: no, type: recall_at_1
value: 26.250833333333333
verified: no, type: recall_at_10
value: 52.96108333333333
verified: no, type: recall_at_100
value: 75.45908333333334
verified: no, type: recall_at_1000
value: 90.73924999999998
verified: no, type: recall_at_3
value: 39.25483333333333
verified: no, type: recall_at_5
value: 45.37950000000001
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.595
verified: no, type: map_at_10
value: 31.747999999999998
verified: no, type: map_at_100
value: 32.62
verified: no, type: map_at_1000
value: 32.713
verified: no, type: map_at_3
value: 29.48
verified: no, type: map_at_5
value: 30.635
verified: no, type: mrr_at_1
value: 27.607
verified: no, type: mrr_at_10
value: 34.449000000000005
verified: no, type: mrr_at_100
value: 35.182
verified: no, type: mrr_at_1000
value: 35.254000000000005
verified: no, type: mrr_at_3
value: 32.413
verified: no, type: mrr_at_5
value: 33.372
verified: no, type: ndcg_at_1
value: 27.607
verified: no, type: ndcg_at_10
value: 36.041000000000004
verified: no, type: ndcg_at_100
value: 40.514
verified: no, type: ndcg_at_1000
value: 42.851
verified: no, type: ndcg_at_3
value: 31.689
verified: no, type: ndcg_at_5
value: 33.479
verified: no, type: precision_at_1
value: 27.607
verified: no, type: precision_at_10
value: 5.66
verified: no, type: precision_at_100
value: 0.868
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 13.446
verified: no, type: precision_at_5
value: 9.264
verified: no, type: recall_at_1
value: 24.595
verified: no, type: recall_at_10
value: 46.79
verified: no, type: recall_at_100
value: 67.413
verified: no, type: recall_at_1000
value: 84.753
verified: no, type: recall_at_3
value: 34.644999999999996
verified: no, type: recall_at_5
value: 39.09
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.333000000000002
verified: no, type: map_at_10
value: 24.427
verified: no, type: map_at_100
value: 25.576
verified: no, type: map_at_1000
value: 25.692999999999998
verified: no, type: map_at_3
value: 22.002
verified: no, type: map_at_5
value: 23.249
verified: no, type: mrr_at_1
value: 20.716
verified: no, type: mrr_at_10
value: 28.072000000000003
verified: no, type: mrr_at_100
value: 29.067
verified: no, type: mrr_at_1000
value: 29.137
verified: no, type: mrr_at_3
value: 25.832
verified: no, type: mrr_at_5
value: 27.045
verified: no, type: ndcg_at_1
value: 20.716
verified: no, type: ndcg_at_10
value: 29.109
verified: no, type: ndcg_at_100
value: 34.797
verified: no, type: ndcg_at_1000
value: 37.503
verified: no, type: ndcg_at_3
value: 24.668
verified: no, type: ndcg_at_5
value: 26.552999999999997
verified: no, type: precision_at_1
value: 20.716
verified: no, type: precision_at_10
value: 5.351
verified: no, type: precision_at_100
value: 0.955
verified: no, type: precision_at_1000
value: 0.136
verified: no, type: precision_at_3
value: 11.584999999999999
verified: no, type: precision_at_5
value: 8.362
verified: no, type: recall_at_1
value: 17.333000000000002
verified: no, type: recall_at_10
value: 39.604
verified: no, type: recall_at_100
value: 65.525
verified: no, type: recall_at_1000
value: 84.651
verified: no, type: recall_at_3
value: 27.199
verified: no, type: recall_at_5
value: 32.019
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.342
verified: no, type: map_at_10
value: 35.349000000000004
verified: no, type: map_at_100
value: 36.443
verified: no, type: map_at_1000
value: 36.548
verified: no, type: map_at_3
value: 32.307
verified: no, type: map_at_5
value: 34.164
verified: no, type: mrr_at_1
value: 31.063000000000002
verified: no, type: mrr_at_10
value: 39.703
verified: no, type: mrr_at_100
value: 40.555
verified: no, type: mrr_at_1000
value: 40.614
verified: no, type: mrr_at_3
value: 37.141999999999996
verified: no, type: mrr_at_5
value: 38.812000000000005
verified: no, type: ndcg_at_1
value: 31.063000000000002
verified: no, type: ndcg_at_10
value: 40.873
verified: no, type: ndcg_at_100
value: 45.896
verified: no, type: ndcg_at_1000
value: 48.205999999999996
verified: no, type: ndcg_at_3
value: 35.522
verified: no, type: ndcg_at_5
value: 38.419
verified: no, type: precision_at_1
value: 31.063000000000002
verified: no, type: precision_at_10
value: 6.866
verified: no, type: precision_at_100
value: 1.053
verified: no, type: precision_at_1000
value: 0.13699999999999998
verified: no, type: precision_at_3
value: 16.014
verified: no, type: precision_at_5
value: 11.604000000000001
verified: no, type: recall_at_1
value: 26.342
verified: no, type: recall_at_10
value: 53.40200000000001
verified: no, type: recall_at_100
value: 75.251
verified: no, type: recall_at_1000
value: 91.13799999999999
verified: no, type: recall_at_3
value: 39.103
verified: no, type: recall_at_5
value: 46.357
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.71
verified: no, type: map_at_10
value: 32.153999999999996
verified: no, type: map_at_100
value: 33.821
verified: no, type: map_at_1000
value: 34.034
verified: no, type: map_at_3
value: 29.376
verified: no, type: map_at_5
value: 30.878
verified: no, type: mrr_at_1
value: 28.458
verified: no, type: mrr_at_10
value: 36.775999999999996
verified: no, type: mrr_at_100
value: 37.804
verified: no, type: mrr_at_1000
value: 37.858999999999995
verified: no, type: mrr_at_3
value: 34.123999999999995
verified: no, type: mrr_at_5
value: 35.596
verified: no, type: ndcg_at_1
value: 28.458
verified: no, type: ndcg_at_10
value: 37.858999999999995
verified: no, type: ndcg_at_100
value: 44.194
verified: no, type: ndcg_at_1000
value: 46.744
verified: no, type: ndcg_at_3
value: 33.348
verified: no, type: ndcg_at_5
value: 35.448
verified: no, type: precision_at_1
value: 28.458
verified: no, type: precision_at_10
value: 7.4510000000000005
verified: no, type: precision_at_100
value: 1.5
verified: no, type: precision_at_1000
value: 0.23700000000000002
verified: no, type: precision_at_3
value: 15.809999999999999
verified: no, type: precision_at_5
value: 11.462
verified: no, type: recall_at_1
value: 23.71
verified: no, type: recall_at_10
value: 48.272999999999996
verified: no, type: recall_at_100
value: 77.134
verified: no, type: recall_at_1000
value: 93.001
verified: no, type: recall_at_3
value: 35.480000000000004
verified: no, type: recall_at_5
value: 41.19
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 21.331
verified: no, type: map_at_10
value: 28.926000000000002
verified: no, type: map_at_100
value: 29.855999999999998
verified: no, type: map_at_1000
value: 29.957
verified: no, type: map_at_3
value: 26.395999999999997
verified: no, type: map_at_5
value: 27.933000000000003
verified: no, type: mrr_at_1
value: 23.105
verified: no, type: mrr_at_10
value: 31.008000000000003
verified: no, type: mrr_at_100
value: 31.819999999999997
verified: no, type: mrr_at_1000
value: 31.887999999999998
verified: no, type: mrr_at_3
value: 28.466
verified: no, type: mrr_at_5
value: 30.203000000000003
verified: no, type: ndcg_at_1
value: 23.105
verified: no, type: ndcg_at_10
value: 33.635999999999996
verified: no, type: ndcg_at_100
value: 38.277
verified: no, type: ndcg_at_1000
value: 40.907
verified: no, type: ndcg_at_3
value: 28.791
verified: no, type: ndcg_at_5
value: 31.528
verified: no, type: precision_at_1
value: 23.105
verified: no, type: precision_at_10
value: 5.323
verified: no, type: precision_at_100
value: 0.815
verified: no, type: precision_at_1000
value: 0.117
verified: no, type: precision_at_3
value: 12.384
verified: no, type: precision_at_5
value: 9.02
verified: no, type: recall_at_1
value: 21.331
verified: no, type: recall_at_10
value: 46.018
verified: no, type: recall_at_100
value: 67.364
verified: no, type: recall_at_1000
value: 86.97
verified: no, type: recall_at_3
value: 33.395
verified: no, type: recall_at_5
value: 39.931
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.011000000000003
verified: no, type: map_at_10
value: 28.816999999999997
verified: no, type: map_at_100
value: 30.761
verified: no, type: map_at_1000
value: 30.958000000000002
verified: no, type: map_at_3
value: 24.044999999999998
verified: no, type: map_at_5
value: 26.557
verified: no, type: mrr_at_1
value: 38.696999999999996
verified: no, type: mrr_at_10
value: 50.464
verified: no, type: mrr_at_100
value: 51.193999999999996
verified: no, type: mrr_at_1000
value: 51.219
verified: no, type: mrr_at_3
value: 47.339999999999996
verified: no, type: mrr_at_5
value: 49.346000000000004
verified: no, type: ndcg_at_1
value: 38.696999999999996
verified: no, type: ndcg_at_10
value: 38.53
verified: no, type: ndcg_at_100
value: 45.525
verified: no, type: ndcg_at_1000
value: 48.685
verified: no, type: ndcg_at_3
value: 32.282
verified: no, type: ndcg_at_5
value: 34.482
verified: no, type: precision_at_1
value: 38.696999999999996
verified: no, type: precision_at_10
value: 11.895999999999999
verified: no, type: precision_at_100
value: 1.95
verified: no, type: precision_at_1000
value: 0.254
verified: no, type: precision_at_3
value: 24.038999999999998
verified: no, type: precision_at_5
value: 18.332
verified: no, type: recall_at_1
value: 17.011000000000003
verified: no, type: recall_at_10
value: 44.452999999999996
verified: no, type: recall_at_100
value: 68.223
verified: no, type: recall_at_1000
value: 85.653
verified: no, type: recall_at_3
value: 28.784
verified: no, type: recall_at_5
value: 35.66
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 9.516
verified: no, type: map_at_10
value: 21.439
verified: no, type: map_at_100
value: 31.517
verified: no, type: map_at_1000
value: 33.267
verified: no, type: map_at_3
value: 15.004999999999999
verified: no, type: map_at_5
value: 17.793999999999997
verified: no, type: mrr_at_1
value: 71.25
verified: no, type: mrr_at_10
value: 79.071
verified: no, type: mrr_at_100
value: 79.325
verified: no, type: mrr_at_1000
value: 79.33
verified: no, type: mrr_at_3
value: 77.708
verified: no, type: mrr_at_5
value: 78.546
verified: no, type: ndcg_at_1
value: 58.62500000000001
verified: no, type: ndcg_at_10
value: 44.889
verified: no, type: ndcg_at_100
value: 50.536
verified: no, type: ndcg_at_1000
value: 57.724
verified: no, type: ndcg_at_3
value: 49.32
verified: no, type: ndcg_at_5
value: 46.775
verified: no, type: precision_at_1
value: 71.25
verified: no, type: precision_at_10
value: 36.175000000000004
verified: no, type: precision_at_100
value: 11.940000000000001
verified: no, type: precision_at_1000
value: 2.178
verified: no, type: precision_at_3
value: 53.583000000000006
verified: no, type: precision_at_5
value: 45.550000000000004
verified: no, type: recall_at_1
value: 9.516
verified: no, type: recall_at_10
value: 27.028000000000002
verified: no, type: recall_at_100
value: 57.581
verified: no, type: recall_at_1000
value: 80.623
verified: no, type: recall_at_3
value: 16.313
verified: no, type: recall_at_5
value: 20.674
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 51.74999999999999
verified: no, type: f1
value: 46.46706502669774
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 77.266
verified: no, type: map_at_10
value: 84.89999999999999
verified: no, type: map_at_100
value: 85.109
verified: no, type: map_at_1000
value: 85.123
verified: no, type: map_at_3
value: 83.898
verified: no, type: map_at_5
value: 84.541
verified: no, type: mrr_at_1
value: 83.138
verified: no, type: mrr_at_10
value: 89.37
verified: no, type: mrr_at_100
value: 89.432
verified: no, type: mrr_at_1000
value: 89.43299999999999
verified: no, type: mrr_at_3
value: 88.836
verified: no, type: mrr_at_5
value: 89.21
verified: no, type: ndcg_at_1
value: 83.138
verified: no, type: ndcg_at_10
value: 88.244
verified: no, type: ndcg_at_100
value: 88.98700000000001
verified: no, type: ndcg_at_1000
value: 89.21900000000001
verified: no, type: ndcg_at_3
value: 86.825
verified: no, type: ndcg_at_5
value: 87.636
verified: no, type: precision_at_1
value: 83.138
verified: no, type: precision_at_10
value: 10.47
verified: no, type: precision_at_100
value: 1.1079999999999999
verified: no, type: precision_at_1000
value: 0.11499999999999999
verified: no, type: precision_at_3
value: 32.933
verified: no, type: precision_at_5
value: 20.36
verified: no, type: recall_at_1
value: 77.266
verified: no, type: recall_at_10
value: 94.063
verified: no, type: recall_at_100
value: 96.993
verified: no, type: recall_at_1000
value: 98.414
verified: no, type: recall_at_3
value: 90.228
verified: no, type: recall_at_5
value: 92.328
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.319
verified: no, type: map_at_10
value: 36.943
verified: no, type: map_at_100
value: 38.951
verified: no, type: map_at_1000
value: 39.114
verified: no, type: map_at_3
value: 32.82
verified: no, type: map_at_5
value: 34.945
verified: no, type: mrr_at_1
value: 44.135999999999996
verified: no, type: mrr_at_10
value: 53.071999999999996
verified: no, type: mrr_at_100
value: 53.87
verified: no, type: mrr_at_1000
value: 53.90200000000001
verified: no, type: mrr_at_3
value: 50.77199999999999
verified: no, type: mrr_at_5
value: 52.129999999999995
verified: no, type: ndcg_at_1
value: 44.135999999999996
verified: no, type: ndcg_at_10
value: 44.836
verified: no, type: ndcg_at_100
value: 51.754
verified: no, type: ndcg_at_1000
value: 54.36
verified: no, type: ndcg_at_3
value: 41.658
verified: no, type: ndcg_at_5
value: 42.354
verified: no, type: precision_at_1
value: 44.135999999999996
verified: no, type: precision_at_10
value: 12.284
verified: no, type: precision_at_100
value: 1.952
verified: no, type: precision_at_1000
value: 0.242
verified: no, type: precision_at_3
value: 27.828999999999997
verified: no, type: precision_at_5
value: 20.093
verified: no, type: recall_at_1
value: 22.319
verified: no, type: recall_at_10
value: 51.528
verified: no, type: recall_at_100
value: 76.70700000000001
verified: no, type: recall_at_1000
value: 92.143
verified: no, type: recall_at_3
value: 38.641
verified: no, type: recall_at_5
value: 43.653999999999996
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 40.182
verified: no, type: map_at_10
value: 65.146
verified: no, type: map_at_100
value: 66.023
verified: no, type: map_at_1000
value: 66.078
verified: no, type: map_at_3
value: 61.617999999999995
verified: no, type: map_at_5
value: 63.82299999999999
verified: no, type: mrr_at_1
value: 80.365
verified: no, type: mrr_at_10
value: 85.79
verified: no, type: mrr_at_100
value: 85.963
verified: no, type: mrr_at_1000
value: 85.968
verified: no, type: mrr_at_3
value: 84.952
verified: no, type: mrr_at_5
value: 85.503
verified: no, type: ndcg_at_1
value: 80.365
verified: no, type: ndcg_at_10
value: 73.13499999999999
verified: no, type: ndcg_at_100
value: 76.133
verified: no, type: ndcg_at_1000
value: 77.151
verified: no, type: ndcg_at_3
value: 68.255
verified: no, type: ndcg_at_5
value: 70.978
verified: no, type: precision_at_1
value: 80.365
verified: no, type: precision_at_10
value: 15.359
verified: no, type: precision_at_100
value: 1.7690000000000001
verified: no, type: precision_at_1000
value: 0.19
verified: no, type: precision_at_3
value: 44.024
verified: no, type: precision_at_5
value: 28.555999999999997
verified: no, type: recall_at_1
value: 40.182
verified: no, type: recall_at_10
value: 76.793
verified: no, type: recall_at_100
value: 88.474
verified: no, type: recall_at_1000
value: 95.159
verified: no, type: recall_at_3
value: 66.036
verified: no, type: recall_at_5
value: 71.391
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 92.7796
verified: no, type: ap
value: 89.24883716810874
verified: no, type: f1
value: 92.7706903433313
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 22.016
verified: no, type: map_at_10
value: 34.408
verified: no, type: map_at_100
value: 35.592
verified: no, type: map_at_1000
value: 35.64
verified: no, type: map_at_3
value: 30.459999999999997
verified: no, type: map_at_5
value: 32.721000000000004
verified: no, type: mrr_at_1
value: 22.593
verified: no, type: mrr_at_10
value: 34.993
verified: no, type: mrr_at_100
value: 36.113
verified: no, type: mrr_at_1000
value: 36.156
verified: no, type: mrr_at_3
value: 31.101
verified: no, type: mrr_at_5
value: 33.364
verified: no, type: ndcg_at_1
value: 22.579
verified: no, type: ndcg_at_10
value: 41.404999999999994
verified: no, type: ndcg_at_100
value: 47.018
verified: no, type: ndcg_at_1000
value: 48.211999999999996
verified: no, type: ndcg_at_3
value: 33.389
verified: no, type: ndcg_at_5
value: 37.425000000000004
verified: no, type: precision_at_1
value: 22.579
verified: no, type: precision_at_10
value: 6.59
verified: no, type: precision_at_100
value: 0.938
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 14.241000000000001
verified: no, type: precision_at_5
value: 10.59
verified: no, type: recall_at_1
value: 22.016
verified: no, type: recall_at_10
value: 62.927
verified: no, type: recall_at_100
value: 88.72
verified: no, type: recall_at_1000
value: 97.80799999999999
verified: no, type: recall_at_3
value: 41.229
verified: no, type: recall_at_5
value: 50.88
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 94.01732786137711
verified: no, type: f1
value: 93.76353126402202
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 76.91746466028272
verified: no, type: f1
value: 57.715651682646765
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 76.5030262273033
verified: no, type: f1
value: 74.6693629986121
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: 79.74781439139207
verified: no, type: f1
value: 79.96684171018774
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: 33.2156206892017
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 31.180539484816137
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 32.51125957874274
verified: no, type: mrr
value: 33.777037359249995
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 7.248
verified: no, type: map_at_10
value: 15.340000000000002
verified: no, type: map_at_100
value: 19.591
verified: no, type: map_at_1000
value: 21.187
verified: no, type: map_at_3
value: 11.329
verified: no, type: map_at_5
value: 13.209999999999999
verified: no, type: mrr_at_1
value: 47.678
verified: no, type: mrr_at_10
value: 57.493
verified: no, type: mrr_at_100
value: 58.038999999999994
verified: no, type: mrr_at_1000
value: 58.07
verified: no, type: mrr_at_3
value: 55.36600000000001
verified: no, type: mrr_at_5
value: 56.635999999999996
verified: no, type: ndcg_at_1
value: 46.129999999999995
verified: no, type: ndcg_at_10
value: 38.653999999999996
verified: no, type: ndcg_at_100
value: 36.288
verified: no, type: ndcg_at_1000
value: 44.765
verified: no, type: ndcg_at_3
value: 43.553
verified: no, type: ndcg_at_5
value: 41.317
verified: no, type: precision_at_1
value: 47.368
verified: no, type: precision_at_10
value: 28.669
verified: no, type: precision_at_100
value: 9.158
verified: no, type: precision_at_1000
value: 2.207
verified: no, type: precision_at_3
value: 40.97
verified: no, type: precision_at_5
value: 35.604
verified: no, type: recall_at_1
value: 7.248
verified: no, type: recall_at_10
value: 19.46
verified: no, type: recall_at_100
value: 37.214000000000006
verified: no, type: recall_at_1000
value: 67.64099999999999
verified: no, type: recall_at_3
value: 12.025
verified: no, type: recall_at_5
value: 15.443999999999999
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.595000000000002
verified: no, type: map_at_10
value: 47.815999999999995
verified: no, type: map_at_100
value: 48.811
verified: no, type: map_at_1000
value: 48.835
verified: no, type: map_at_3
value: 43.225
verified: no, type: map_at_5
value: 46.017
verified: no, type: mrr_at_1
value: 35.689
verified: no, type: mrr_at_10
value: 50.341
verified: no, type: mrr_at_100
value: 51.044999999999995
verified: no, type: mrr_at_1000
value: 51.062
verified: no, type: mrr_at_3
value: 46.553
verified: no, type: mrr_at_5
value: 48.918
verified: no, type: ndcg_at_1
value: 35.66
verified: no, type: ndcg_at_10
value: 55.859
verified: no, type: ndcg_at_100
value: 59.864
verified: no, type: ndcg_at_1000
value: 60.419999999999995
verified: no, type: ndcg_at_3
value: 47.371
verified: no, type: ndcg_at_5
value: 51.995000000000005
verified: no, type: precision_at_1
value: 35.66
verified: no, type: precision_at_10
value: 9.27
verified: no, type: precision_at_100
value: 1.1520000000000001
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 21.63
verified: no, type: precision_at_5
value: 15.655
verified: no, type: recall_at_1
value: 31.595000000000002
verified: no, type: recall_at_10
value: 77.704
verified: no, type: recall_at_100
value: 94.774
verified: no, type: recall_at_1000
value: 98.919
verified: no, type: recall_at_3
value: 56.052
verified: no, type: recall_at_5
value: 66.623
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 71.489
verified: no, type: map_at_10
value: 85.411
verified: no, type: map_at_100
value: 86.048
verified: no, type: map_at_1000
value: 86.064
verified: no, type: map_at_3
value: 82.587
verified: no, type: map_at_5
value: 84.339
verified: no, type: mrr_at_1
value: 82.28
verified: no, type: mrr_at_10
value: 88.27199999999999
verified: no, type: mrr_at_100
value: 88.362
verified: no, type: mrr_at_1000
value: 88.362
verified: no, type: mrr_at_3
value: 87.372
verified: no, type: mrr_at_5
value: 87.995
verified: no, type: ndcg_at_1
value: 82.27
verified: no, type: ndcg_at_10
value: 89.023
verified: no, type: ndcg_at_100
value: 90.191
verified: no, type: ndcg_at_1000
value: 90.266
verified: no, type: ndcg_at_3
value: 86.37
verified: no, type: ndcg_at_5
value: 87.804
verified: no, type: precision_at_1
value: 82.27
verified: no, type: precision_at_10
value: 13.469000000000001
verified: no, type: precision_at_100
value: 1.533
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.797
verified: no, type: precision_at_5
value: 24.734
verified: no, type: recall_at_1
value: 71.489
verified: no, type: recall_at_10
value: 95.824
verified: no, type: recall_at_100
value: 99.70599999999999
verified: no, type: recall_at_1000
value: 99.979
verified: no, type: recall_at_3
value: 88.099
verified: no, type: recall_at_5
value: 92.285
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 60.52398807444541
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: 65.34855891507871
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.188000000000001
verified: no, type: map_at_10
value: 13.987
verified: no, type: map_at_100
value: 16.438
verified: no, type: map_at_1000
value: 16.829
verified: no, type: map_at_3
value: 9.767000000000001
verified: no, type: map_at_5
value: 11.912
verified: no, type: mrr_at_1
value: 25.6
verified: no, type: mrr_at_10
value: 37.744
verified: no, type: mrr_at_100
value: 38.847
verified: no, type: mrr_at_1000
value: 38.894
verified: no, type: mrr_at_3
value: 34.166999999999994
verified: no, type: mrr_at_5
value: 36.207
verified: no, type: ndcg_at_1
value: 25.6
verified: no, type: ndcg_at_10
value: 22.980999999999998
verified: no, type: ndcg_at_100
value: 32.039
verified: no, type: ndcg_at_1000
value: 38.157000000000004
verified: no, type: ndcg_at_3
value: 21.567
verified: no, type: ndcg_at_5
value: 19.070999999999998
verified: no, type: precision_at_1
value: 25.6
verified: no, type: precision_at_10
value: 12.02
verified: no, type: precision_at_100
value: 2.5100000000000002
verified: no, type: precision_at_1000
value: 0.396
verified: no, type: precision_at_3
value: 20.333000000000002
verified: no, type: precision_at_5
value: 16.98
verified: no, type: recall_at_1
value: 5.188000000000001
verified: no, type: recall_at_10
value: 24.372
verified: no, type: recall_at_100
value: 50.934999999999995
verified: no, type: recall_at_1000
value: 80.477
verified: no, type: recall_at_3
value: 12.363
verified: no, type: recall_at_5
value: 17.203
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: 87.24286275535398
verified: no, type: cos_sim_spearman
value: 82.62333770991818
verified: no, type: euclidean_pearson
value: 84.60353717637284
verified: no, type: euclidean_spearman
value: 82.32990108810047
verified: no, type: manhattan_pearson
value: 84.6089049738196
verified: no, type: manhattan_spearman
value: 82.33361785438936
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: 87.87428858503165
verified: no, type: cos_sim_spearman
value: 79.09145886519929
verified: no, type: euclidean_pearson
value: 86.42669231664036
verified: no, type: euclidean_spearman
value: 80.03127375435449
verified: no, type: manhattan_pearson
value: 86.41330338305022
verified: no, type: manhattan_spearman
value: 80.02492538673368
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: 88.67912277322645
verified: no, type: cos_sim_spearman
value: 89.6171319711762
verified: no, type: euclidean_pearson
value: 86.56571917398725
verified: no, type: euclidean_spearman
value: 87.71216907898948
verified: no, type: manhattan_pearson
value: 86.57459050182473
verified: no, type: manhattan_spearman
value: 87.71916648349993
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: 86.71957379085862
verified: no, type: cos_sim_spearman
value: 85.01784075851465
verified: no, type: euclidean_pearson
value: 84.7407848472801
verified: no, type: euclidean_spearman
value: 84.61063091345538
verified: no, type: manhattan_pearson
value: 84.71494352494403
verified: no, type: manhattan_spearman
value: 84.58772077604254
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 88.40508326325175
verified: no, type: cos_sim_spearman
value: 89.50912897763186
verified: no, type: euclidean_pearson
value: 87.82349070086627
verified: no, type: euclidean_spearman
value: 88.44179162727521
verified: no, type: manhattan_pearson
value: 87.80181927025595
verified: no, type: manhattan_spearman
value: 88.43205129636243
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: 85.35846741715478
verified: no, type: cos_sim_spearman
value: 86.61172476741842
verified: no, type: euclidean_pearson
value: 84.60123125491637
verified: no, type: euclidean_spearman
value: 85.3001948141827
verified: no, type: manhattan_pearson
value: 84.56231142658329
verified: no, type: manhattan_spearman
value: 85.23579900798813
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 88.94539129818824
verified: no, type: cos_sim_spearman
value: 88.99349064256742
verified: no, type: euclidean_pearson
value: 88.7142444640351
verified: no, type: euclidean_spearman
value: 88.34120813505011
verified: no, type: manhattan_pearson
value: 88.70363008238084
verified: no, type: manhattan_spearman
value: 88.31952816956954
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: 68.29910260369893
verified: no, type: cos_sim_spearman
value: 68.79263346213466
verified: no, type: euclidean_pearson
value: 68.41627521422252
verified: no, type: euclidean_spearman
value: 66.61602587398579
verified: no, type: manhattan_pearson
value: 68.49402183447361
verified: no, type: manhattan_spearman
value: 66.80157792354453
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: 87.43703906343708
verified: no, type: cos_sim_spearman
value: 89.06081805093662
verified: no, type: euclidean_pearson
value: 87.48311456299662
verified: no, type: euclidean_spearman
value: 88.07417597580013
verified: no, type: manhattan_pearson
value: 87.48202249768894
verified: no, type: manhattan_spearman
value: 88.04758031111642
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 87.49080620485203
verified: no, type: mrr
value: 96.19145378949301
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 59.317
verified: no, type: map_at_10
value: 69.296
verified: no, type: map_at_100
value: 69.738
verified: no, type: map_at_1000
value: 69.759
verified: no, type: map_at_3
value: 66.12599999999999
verified: no, type: map_at_5
value: 67.532
verified: no, type: mrr_at_1
value: 62
verified: no, type: mrr_at_10
value: 70.176
verified: no, type: mrr_at_100
value: 70.565
verified: no, type: mrr_at_1000
value: 70.583
verified: no, type: mrr_at_3
value: 67.833
verified: no, type: mrr_at_5
value: 68.93299999999999
verified: no, type: ndcg_at_1
value: 62
verified: no, type: ndcg_at_10
value: 74.069
verified: no, type: ndcg_at_100
value: 76.037
verified: no, type: ndcg_at_1000
value: 76.467
verified: no, type: ndcg_at_3
value: 68.628
verified: no, type: ndcg_at_5
value: 70.57600000000001
verified: no, type: precision_at_1
value: 62
verified: no, type: precision_at_10
value: 10
verified: no, type: precision_at_100
value: 1.097
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 26.667
verified: no, type: precision_at_5
value: 17.4
verified: no, type: recall_at_1
value: 59.317
verified: no, type: recall_at_10
value: 87.822
verified: no, type: recall_at_100
value: 96.833
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 73.06099999999999
verified: no, type: recall_at_5
value: 77.928
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: 99.88910891089108
verified: no, type: cos_sim_ap
value: 97.236958456951
verified: no, type: cos_sim_f1
value: 94.39999999999999
verified: no, type: cos_sim_precision
value: 94.39999999999999
verified: no, type: cos_sim_recall
value: 94.39999999999999
verified: no, type: dot_accuracy
value: 99.82574257425742
verified: no, type: dot_ap
value: 94.94344759441888
verified: no, type: dot_f1
value: 91.17352056168507
verified: no, type: dot_precision
value: 91.44869215291752
verified: no, type: dot_recall
value: 90.9
verified: no, type: euclidean_accuracy
value: 99.88415841584158
verified: no, type: euclidean_ap
value: 97.2044250782305
verified: no, type: euclidean_f1
value: 94.210786739238
verified: no, type: euclidean_precision
value: 93.24191968658178
verified: no, type: euclidean_recall
value: 95.19999999999999
verified: no, type: manhattan_accuracy
value: 99.88613861386139
verified: no, type: manhattan_ap
value: 97.20683205497689
verified: no, type: manhattan_f1
value: 94.2643391521197
verified: no, type: manhattan_precision
value: 94.02985074626866
verified: no, type: manhattan_recall
value: 94.5
verified: no, type: max_accuracy
value: 99.88910891089108
verified: no, type: max_ap
value: 97.236958456951
verified: no, type: max_f1
value: 94.39999999999999
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 66.53940781726187
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: 36.71865011295108
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 55.3218674533331
verified: no, type: mrr
value: 56.28279910449028
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 30.723915667479673
verified: no, type: cos_sim_spearman
value: 32.029070449745234
verified: no, type: dot_pearson
value: 28.864944212481454
verified: no, type: dot_spearman
value: 27.939266999596725
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.231
verified: no, type: map_at_10
value: 1.949
verified: no, type: map_at_100
value: 10.023
verified: no, type: map_at_1000
value: 23.485
verified: no, type: map_at_3
value: 0.652
verified: no, type: map_at_5
value: 1.054
verified: no, type: mrr_at_1
value: 86
verified: no, type: mrr_at_10
value: 92.067
verified: no, type: mrr_at_100
value: 92.067
verified: no, type: mrr_at_1000
value: 92.067
verified: no, type: mrr_at_3
value: 91.667
verified: no, type: mrr_at_5
value: 92.067
verified: no, type: ndcg_at_1
value: 83
verified: no, type: ndcg_at_10
value: 76.32900000000001
verified: no, type: ndcg_at_100
value: 54.662
verified: no, type: ndcg_at_1000
value: 48.062
verified: no, type: ndcg_at_3
value: 81.827
verified: no, type: ndcg_at_5
value: 80.664
verified: no, type: precision_at_1
value: 86
verified: no, type: precision_at_10
value: 80
verified: no, type: precision_at_100
value: 55.48
verified: no, type: precision_at_1000
value: 20.938000000000002
verified: no, type: precision_at_3
value: 85.333
verified: no, type: precision_at_5
value: 84.39999999999999
verified: no, type: recall_at_1
value: 0.231
verified: no, type: recall_at_10
value: 2.158
verified: no, type: recall_at_100
value: 13.344000000000001
verified: no, type: recall_at_1000
value: 44.31
verified: no, type: recall_at_3
value: 0.6779999999999999
verified: no, type: recall_at_5
value: 1.13
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.524
verified: no, type: map_at_10
value: 10.183
verified: no, type: map_at_100
value: 16.625
verified: no, type: map_at_1000
value: 18.017
verified: no, type: map_at_3
value: 5.169
verified: no, type: map_at_5
value: 6.772
verified: no, type: mrr_at_1
value: 32.653
verified: no, type: mrr_at_10
value: 47.128
verified: no, type: mrr_at_100
value: 48.458
verified: no, type: mrr_at_1000
value: 48.473
verified: no, type: mrr_at_3
value: 44.897999999999996
verified: no, type: mrr_at_5
value: 45.306000000000004
verified: no, type: ndcg_at_1
value: 30.612000000000002
verified: no, type: ndcg_at_10
value: 24.928
verified: no, type: ndcg_at_100
value: 37.613
verified: no, type: ndcg_at_1000
value: 48.528
verified: no, type: ndcg_at_3
value: 28.829
verified: no, type: ndcg_at_5
value: 25.237
verified: no, type: precision_at_1
value: 32.653
verified: no, type: precision_at_10
value: 22.448999999999998
verified: no, type: precision_at_100
value: 8.02
verified: no, type: precision_at_1000
value: 1.537
verified: no, type: precision_at_3
value: 30.612000000000002
verified: no, type: precision_at_5
value: 24.490000000000002
verified: no, type: recall_at_1
value: 2.524
verified: no, type: recall_at_10
value: 16.38
verified: no, type: recall_at_100
value: 49.529
verified: no, type: recall_at_1000
value: 83.598
verified: no, type: recall_at_3
value: 6.411
verified: no, type: recall_at_5
value: 8.932
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 71.09020000000001
verified: no, type: ap
value: 14.451710060978993
verified: no, type: f1
value: 54.7874410609049
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 59.745331069609506
verified: no, type: f1
value: 60.08387848592697
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 51.71549485462037
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: 87.39345532574357
verified: no, type: cos_sim_ap
value: 78.16796549696478
verified: no, type: cos_sim_f1
value: 71.27713276123171
verified: no, type: cos_sim_precision
value: 68.3115626511853
verified: no, type: cos_sim_recall
value: 74.51187335092348
verified: no, type: dot_accuracy
value: 85.12248912201228
verified: no, type: dot_ap
value: 69.26039256107077
verified: no, type: dot_f1
value: 65.04294321240867
verified: no, type: dot_precision
value: 63.251059586138126
verified: no, type: dot_recall
value: 66.93931398416886
verified: no, type: euclidean_accuracy
value: 87.07754664123503
verified: no, type: euclidean_ap
value: 77.7872176038945
verified: no, type: euclidean_f1
value: 70.85587801278899
verified: no, type: euclidean_precision
value: 66.3519115614924
verified: no, type: euclidean_recall
value: 76.01583113456465
verified: no, type: manhattan_accuracy
value: 87.07754664123503
verified: no, type: manhattan_ap
value: 77.7341400185556
verified: no, type: manhattan_f1
value: 70.80310880829015
verified: no, type: manhattan_precision
value: 69.54198473282443
verified: no, type: manhattan_recall
value: 72.1108179419525
verified: no, type: max_accuracy
value: 87.39345532574357
verified: no, type: max_ap
value: 78.16796549696478
verified: no, type: max_f1
value: 71.27713276123171
verified: no, task: type: PairClassification
dataset: type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 89.09457833663213
verified: no, type: cos_sim_ap
value: 86.33024314706873
verified: no, type: cos_sim_f1
value: 78.59623733719248
verified: no, type: cos_sim_precision
value: 74.13322413322413
verified: no, type: cos_sim_recall
value: 83.63104404065291
verified: no, type: dot_accuracy
value: 88.3086894089339
verified: no, type: dot_ap
value: 83.92225241805097
verified: no, type: dot_f1
value: 76.8721826377781
verified: no, type: dot_precision
value: 72.8168044077135
verified: no, type: dot_recall
value: 81.40591315060055
verified: no, type: euclidean_accuracy
value: 88.77052043311213
verified: no, type: euclidean_ap
value: 85.7410710218755
verified: no, type: euclidean_f1
value: 77.97705489398781
verified: no, type: euclidean_precision
value: 73.77713657598241
verified: no, type: euclidean_recall
value: 82.68401601478288
verified: no, type: manhattan_accuracy
value: 88.73753250281368
verified: no, type: manhattan_ap
value: 85.72867199072802
verified: no, type: manhattan_f1
value: 77.89774182922812
verified: no, type: manhattan_precision
value: 74.23787931635857
verified: no, type: manhattan_recall
value: 81.93717277486911
verified: no, type: max_accuracy
value: 89.09457833663213
verified: no, type: max_ap
value: 86.33024314706873
verified: no, type: max_f1
value: 78.59623733719248
verified: no
license: mit
language: en
Likes: 237 | All-time downloads: 38020734
Created: 2023-12-04 02:03:27