Model: avsolatorio/GIST-large-Embedding-v0
Author: avsolatorio
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, bert, feature-extraction, mteb, sentence-similarity, en, arxiv:2402.16829, arxiv:2212.09741, license:mit, model-index, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us
Card metadata: language: en
library_name: sentence-transformers
license: mit
pipeline_tag: sentence-similarity
tags: feature-extraction, mteb, sentence-similarity, sentence-transformers
model-index: name: GIST-large-Embedding-v0
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 75.5820895522388
verified: no, type: ap
value: 38.32190121241783
verified: no, type: f1
value: 69.44777155231054
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 93.40514999999998
verified: no, type: ap
value: 90.2011565132406
verified: no, type: f1
value: 93.39486246843605
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: 49.05999999999999
verified: no, type: f1
value: 48.58702718571088
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 38.407000000000004
verified: no, type: map_at_10
value: 54.822
verified: no, type: map_at_100
value: 55.387
verified: no, type: map_at_1000
value: 55.388999999999996
verified: no, type: map_at_3
value: 50.308
verified: no, type: map_at_5
value: 53.199
verified: no, type: mrr_at_1
value: 39.900000000000006
verified: no, type: mrr_at_10
value: 55.385
verified: no, type: mrr_at_100
value: 55.936
verified: no, type: mrr_at_1000
value: 55.93900000000001
verified: no, type: mrr_at_3
value: 50.853
verified: no, type: mrr_at_5
value: 53.738
verified: no, type: ndcg_at_1
value: 38.407000000000004
verified: no, type: ndcg_at_10
value: 63.38
verified: no, type: ndcg_at_100
value: 65.52900000000001
verified: no, type: ndcg_at_1000
value: 65.58800000000001
verified: no, type: ndcg_at_3
value: 54.26
verified: no, type: ndcg_at_5
value: 59.488
verified: no, type: precision_at_1
value: 38.407000000000004
verified: no, type: precision_at_10
value: 9.04
verified: no, type: precision_at_100
value: 0.992
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 21.906
verified: no, type: precision_at_5
value: 15.690000000000001
verified: no, type: recall_at_1
value: 38.407000000000004
verified: no, type: recall_at_10
value: 90.398
verified: no, type: recall_at_100
value: 99.21799999999999
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 65.718
verified: no, type: recall_at_5
value: 78.45
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 48.49766333679089
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 42.57731111438094
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 64.70120072857361
verified: no, type: mrr
value: 77.86714593501297
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: 90.73821860690765
verified: no, type: cos_sim_spearman
value: 89.17070651383446
verified: no, type: euclidean_pearson
value: 88.28303958293029
verified: no, type: euclidean_spearman
value: 88.81889126856979
verified: no, type: manhattan_pearson
value: 88.09080621828731
verified: no, type: manhattan_spearman
value: 88.55924679817751
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 88.10064935064933
verified: no, type: f1
value: 88.08460758973867
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: 39.338228337929976
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics: type: v_measure
value: 36.179156232378226
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 33.440999999999995
verified: no, type: map_at_10
value: 45.495000000000005
verified: no, type: map_at_100
value: 47.132000000000005
verified: no, type: map_at_1000
value: 47.253
verified: no, type: map_at_3
value: 41.766
verified: no, type: map_at_5
value: 43.873
verified: no, type: mrr_at_1
value: 40.772999999999996
verified: no, type: mrr_at_10
value: 51.627
verified: no, type: mrr_at_100
value: 52.364
verified: no, type: mrr_at_1000
value: 52.397000000000006
verified: no, type: mrr_at_3
value: 48.951
verified: no, type: mrr_at_5
value: 50.746
verified: no, type: ndcg_at_1
value: 40.772999999999996
verified: no, type: ndcg_at_10
value: 52.306
verified: no, type: ndcg_at_100
value: 57.753
verified: no, type: ndcg_at_1000
value: 59.36900000000001
verified: no, type: ndcg_at_3
value: 47.177
verified: no, type: ndcg_at_5
value: 49.71
verified: no, type: precision_at_1
value: 40.772999999999996
verified: no, type: precision_at_10
value: 10.129000000000001
verified: no, type: precision_at_100
value: 1.617
verified: no, type: precision_at_1000
value: 0.208
verified: no, type: precision_at_3
value: 22.985
verified: no, type: precision_at_5
value: 16.652
verified: no, type: recall_at_1
value: 33.440999999999995
verified: no, type: recall_at_10
value: 65.121
verified: no, type: recall_at_100
value: 87.55199999999999
verified: no, type: recall_at_1000
value: 97.41300000000001
verified: no, type: recall_at_3
value: 49.958999999999996
verified: no, type: recall_at_5
value: 57.14900000000001
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.126
verified: no, type: map_at_10
value: 42.856
verified: no, type: map_at_100
value: 44.134
verified: no, type: map_at_1000
value: 44.274
verified: no, type: map_at_3
value: 39.594
verified: no, type: map_at_5
value: 41.504999999999995
verified: no, type: mrr_at_1
value: 40.127
verified: no, type: mrr_at_10
value: 48.736000000000004
verified: no, type: mrr_at_100
value: 49.303999999999995
verified: no, type: mrr_at_1000
value: 49.356
verified: no, type: mrr_at_3
value: 46.263
verified: no, type: mrr_at_5
value: 47.878
verified: no, type: ndcg_at_1
value: 40.127
verified: no, type: ndcg_at_10
value: 48.695
verified: no, type: ndcg_at_100
value: 52.846000000000004
verified: no, type: ndcg_at_1000
value: 54.964
verified: no, type: ndcg_at_3
value: 44.275
verified: no, type: ndcg_at_5
value: 46.54
verified: no, type: precision_at_1
value: 40.127
verified: no, type: precision_at_10
value: 9.229
verified: no, type: precision_at_100
value: 1.473
verified: no, type: precision_at_1000
value: 0.19499999999999998
verified: no, type: precision_at_3
value: 21.444
verified: no, type: precision_at_5
value: 15.389
verified: no, type: recall_at_1
value: 32.126
verified: no, type: recall_at_10
value: 58.971
verified: no, type: recall_at_100
value: 76.115
verified: no, type: recall_at_1000
value: 89.556
verified: no, type: recall_at_3
value: 45.891
verified: no, type: recall_at_5
value: 52.242
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 41.312
verified: no, type: map_at_10
value: 54.510000000000005
verified: no, type: map_at_100
value: 55.544000000000004
verified: no, type: map_at_1000
value: 55.593
verified: no, type: map_at_3
value: 50.859
verified: no, type: map_at_5
value: 52.839999999999996
verified: no, type: mrr_at_1
value: 47.147
verified: no, type: mrr_at_10
value: 57.678
verified: no, type: mrr_at_100
value: 58.287
verified: no, type: mrr_at_1000
value: 58.312
verified: no, type: mrr_at_3
value: 55.025999999999996
verified: no, type: mrr_at_5
value: 56.55
verified: no, type: ndcg_at_1
value: 47.147
verified: no, type: ndcg_at_10
value: 60.672000000000004
verified: no, type: ndcg_at_100
value: 64.411
verified: no, type: ndcg_at_1000
value: 65.35499999999999
verified: no, type: ndcg_at_3
value: 54.643
verified: no, type: ndcg_at_5
value: 57.461
verified: no, type: precision_at_1
value: 47.147
verified: no, type: precision_at_10
value: 9.881
verified: no, type: precision_at_100
value: 1.27
verified: no, type: precision_at_1000
value: 0.13799999999999998
verified: no, type: precision_at_3
value: 24.556
verified: no, type: precision_at_5
value: 16.814999999999998
verified: no, type: recall_at_1
value: 41.312
verified: no, type: recall_at_10
value: 75.62299999999999
verified: no, type: recall_at_100
value: 91.388
verified: no, type: recall_at_1000
value: 98.08
verified: no, type: recall_at_3
value: 59.40299999999999
verified: no, type: recall_at_5
value: 66.43900000000001
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.609
verified: no, type: map_at_10
value: 37.614
verified: no, type: map_at_100
value: 38.584
verified: no, type: map_at_1000
value: 38.652
verified: no, type: map_at_3
value: 34.731
verified: no, type: map_at_5
value: 36.308
verified: no, type: mrr_at_1
value: 29.944
verified: no, type: mrr_at_10
value: 39.829
verified: no, type: mrr_at_100
value: 40.659
verified: no, type: mrr_at_1000
value: 40.709
verified: no, type: mrr_at_3
value: 37.269000000000005
verified: no, type: mrr_at_5
value: 38.625
verified: no, type: ndcg_at_1
value: 29.944
verified: no, type: ndcg_at_10
value: 43.082
verified: no, type: ndcg_at_100
value: 47.857
verified: no, type: ndcg_at_1000
value: 49.612
verified: no, type: ndcg_at_3
value: 37.578
verified: no, type: ndcg_at_5
value: 40.135
verified: no, type: precision_at_1
value: 29.944
verified: no, type: precision_at_10
value: 6.678000000000001
verified: no, type: precision_at_100
value: 0.951
verified: no, type: precision_at_1000
value: 0.11399999999999999
verified: no, type: precision_at_3
value: 16.045
verified: no, type: precision_at_5
value: 11.073
verified: no, type: recall_at_1
value: 27.609
verified: no, type: recall_at_10
value: 57.718
verified: no, type: recall_at_100
value: 79.768
verified: no, type: recall_at_1000
value: 92.868
verified: no, type: recall_at_3
value: 42.876
verified: no, type: recall_at_5
value: 49.104
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.071
verified: no, type: map_at_10
value: 27.471
verified: no, type: map_at_100
value: 28.71
verified: no, type: map_at_1000
value: 28.833
verified: no, type: map_at_3
value: 24.698
verified: no, type: map_at_5
value: 26.461000000000002
verified: no, type: mrr_at_1
value: 22.387999999999998
verified: no, type: mrr_at_10
value: 32.522
verified: no, type: mrr_at_100
value: 33.393
verified: no, type: mrr_at_1000
value: 33.455
verified: no, type: mrr_at_3
value: 29.830000000000002
verified: no, type: mrr_at_5
value: 31.472
verified: no, type: ndcg_at_1
value: 22.387999999999998
verified: no, type: ndcg_at_10
value: 33.278999999999996
verified: no, type: ndcg_at_100
value: 39.043
verified: no, type: ndcg_at_1000
value: 41.763
verified: no, type: ndcg_at_3
value: 28.310999999999996
verified: no, type: ndcg_at_5
value: 31.007
verified: no, type: precision_at_1
value: 22.387999999999998
verified: no, type: precision_at_10
value: 6.157
verified: no, type: precision_at_100
value: 1.042
verified: no, type: precision_at_1000
value: 0.14200000000000002
verified: no, type: precision_at_3
value: 13.972000000000001
verified: no, type: precision_at_5
value: 10.274
verified: no, type: recall_at_1
value: 18.071
verified: no, type: recall_at_10
value: 46.025
verified: no, type: recall_at_100
value: 71.153
verified: no, type: recall_at_1000
value: 90.232
verified: no, type: recall_at_3
value: 32.311
verified: no, type: recall_at_5
value: 39.296
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.813000000000002
verified: no, type: map_at_10
value: 42.594
verified: no, type: map_at_100
value: 43.949
verified: no, type: map_at_1000
value: 44.052
verified: no, type: map_at_3
value: 39.1
verified: no, type: map_at_5
value: 41.111
verified: no, type: mrr_at_1
value: 37.824999999999996
verified: no, type: mrr_at_10
value: 48.06
verified: no, type: mrr_at_100
value: 48.91
verified: no, type: mrr_at_1000
value: 48.946
verified: no, type: mrr_at_3
value: 45.509
verified: no, type: mrr_at_5
value: 47.073
verified: no, type: ndcg_at_1
value: 37.824999999999996
verified: no, type: ndcg_at_10
value: 48.882
verified: no, type: ndcg_at_100
value: 54.330999999999996
verified: no, type: ndcg_at_1000
value: 56.120999999999995
verified: no, type: ndcg_at_3
value: 43.529
verified: no, type: ndcg_at_5
value: 46.217999999999996
verified: no, type: precision_at_1
value: 37.824999999999996
verified: no, type: precision_at_10
value: 8.845
verified: no, type: precision_at_100
value: 1.34
verified: no, type: precision_at_1000
value: 0.168
verified: no, type: precision_at_3
value: 20.757
verified: no, type: precision_at_5
value: 14.802999999999999
verified: no, type: recall_at_1
value: 30.813000000000002
verified: no, type: recall_at_10
value: 61.895999999999994
verified: no, type: recall_at_100
value: 84.513
verified: no, type: recall_at_1000
value: 95.817
verified: no, type: recall_at_3
value: 47.099000000000004
verified: no, type: recall_at_5
value: 54.031
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.735999999999997
verified: no, type: map_at_10
value: 36.799
verified: no, type: map_at_100
value: 38.246
verified: no, type: map_at_1000
value: 38.353
verified: no, type: map_at_3
value: 33.133
verified: no, type: map_at_5
value: 34.954
verified: no, type: mrr_at_1
value: 31.849
verified: no, type: mrr_at_10
value: 41.928
verified: no, type: mrr_at_100
value: 42.846000000000004
verified: no, type: mrr_at_1000
value: 42.894
verified: no, type: mrr_at_3
value: 39.117000000000004
verified: no, type: mrr_at_5
value: 40.521
verified: no, type: ndcg_at_1
value: 31.849
verified: no, type: ndcg_at_10
value: 43.143
verified: no, type: ndcg_at_100
value: 48.963
verified: no, type: ndcg_at_1000
value: 51.041000000000004
verified: no, type: ndcg_at_3
value: 37.218
verified: no, type: ndcg_at_5
value: 39.542
verified: no, type: precision_at_1
value: 31.849
verified: no, type: precision_at_10
value: 8.231
verified: no, type: precision_at_100
value: 1.277
verified: no, type: precision_at_1000
value: 0.164
verified: no, type: precision_at_3
value: 18.037
verified: no, type: precision_at_5
value: 12.945
verified: no, type: recall_at_1
value: 25.735999999999997
verified: no, type: recall_at_10
value: 56.735
verified: no, type: recall_at_100
value: 81.04
verified: no, type: recall_at_1000
value: 94.845
verified: no, type: recall_at_3
value: 40.239999999999995
verified: no, type: recall_at_5
value: 46.378
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.580333333333336
verified: no, type: map_at_10
value: 37.70558333333334
verified: no, type: map_at_100
value: 38.94941666666667
verified: no, type: map_at_1000
value: 39.062083333333334
verified: no, type: map_at_3
value: 34.63333333333334
verified: no, type: map_at_5
value: 36.35241666666666
verified: no, type: mrr_at_1
value: 32.64866666666667
verified: no, type: mrr_at_10
value: 42.018499999999996
verified: no, type: mrr_at_100
value: 42.83391666666666
verified: no, type: mrr_at_1000
value: 42.884166666666665
verified: no, type: mrr_at_3
value: 39.476499999999994
verified: no, type: mrr_at_5
value: 40.96983333333334
verified: no, type: ndcg_at_1
value: 32.64866666666667
verified: no, type: ndcg_at_10
value: 43.43866666666667
verified: no, type: ndcg_at_100
value: 48.569833333333335
verified: no, type: ndcg_at_1000
value: 50.6495
verified: no, type: ndcg_at_3
value: 38.327166666666656
verified: no, type: ndcg_at_5
value: 40.76941666666667
verified: no, type: precision_at_1
value: 32.64866666666667
verified: no, type: precision_at_10
value: 7.652333333333332
verified: no, type: precision_at_100
value: 1.2066666666666666
verified: no, type: precision_at_1000
value: 0.15841666666666668
verified: no, type: precision_at_3
value: 17.75108333333333
verified: no, type: precision_at_5
value: 12.641916666666669
verified: no, type: recall_at_1
value: 27.580333333333336
verified: no, type: recall_at_10
value: 56.02591666666667
verified: no, type: recall_at_100
value: 78.317
verified: no, type: recall_at_1000
value: 92.52608333333332
verified: no, type: recall_at_3
value: 41.84283333333333
verified: no, type: recall_at_5
value: 48.105666666666664
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.876
verified: no, type: map_at_10
value: 34.521
verified: no, type: map_at_100
value: 35.581
verified: no, type: map_at_1000
value: 35.674
verified: no, type: map_at_3
value: 32.501000000000005
verified: no, type: map_at_5
value: 33.602
verified: no, type: mrr_at_1
value: 31.441999999999997
verified: no, type: mrr_at_10
value: 37.669999999999995
verified: no, type: mrr_at_100
value: 38.523
verified: no, type: mrr_at_1000
value: 38.59
verified: no, type: mrr_at_3
value: 35.762
verified: no, type: mrr_at_5
value: 36.812
verified: no, type: ndcg_at_1
value: 31.441999999999997
verified: no, type: ndcg_at_10
value: 38.46
verified: no, type: ndcg_at_100
value: 43.479
verified: no, type: ndcg_at_1000
value: 45.858
verified: no, type: ndcg_at_3
value: 34.668
verified: no, type: ndcg_at_5
value: 36.416
verified: no, type: precision_at_1
value: 31.441999999999997
verified: no, type: precision_at_10
value: 5.782
verified: no, type: precision_at_100
value: 0.91
verified: no, type: precision_at_1000
value: 0.11900000000000001
verified: no, type: precision_at_3
value: 14.417
verified: no, type: precision_at_5
value: 9.876999999999999
verified: no, type: recall_at_1
value: 27.876
verified: no, type: recall_at_10
value: 47.556
verified: no, type: recall_at_100
value: 70.39699999999999
verified: no, type: recall_at_1000
value: 87.969
verified: no, type: recall_at_3
value: 37.226
verified: no, type: recall_at_5
value: 41.43
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.854000000000003
verified: no, type: map_at_10
value: 26.632
verified: no, type: map_at_100
value: 27.849
verified: no, type: map_at_1000
value: 27.977
verified: no, type: map_at_3
value: 24.089
verified: no, type: map_at_5
value: 25.477
verified: no, type: mrr_at_1
value: 22.987
verified: no, type: mrr_at_10
value: 30.781999999999996
verified: no, type: mrr_at_100
value: 31.746000000000002
verified: no, type: mrr_at_1000
value: 31.818
verified: no, type: mrr_at_3
value: 28.43
verified: no, type: mrr_at_5
value: 29.791
verified: no, type: ndcg_at_1
value: 22.987
verified: no, type: ndcg_at_10
value: 31.585
verified: no, type: ndcg_at_100
value: 37.32
verified: no, type: ndcg_at_1000
value: 40.072
verified: no, type: ndcg_at_3
value: 27.058
verified: no, type: ndcg_at_5
value: 29.137999999999998
verified: no, type: precision_at_1
value: 22.987
verified: no, type: precision_at_10
value: 5.76
verified: no, type: precision_at_100
value: 1.018
verified: no, type: precision_at_1000
value: 0.14400000000000002
verified: no, type: precision_at_3
value: 12.767000000000001
verified: no, type: precision_at_5
value: 9.257
verified: no, type: recall_at_1
value: 18.854000000000003
verified: no, type: recall_at_10
value: 42.349
verified: no, type: recall_at_100
value: 68.15299999999999
verified: no, type: recall_at_1000
value: 87.44
verified: no, type: recall_at_3
value: 29.715999999999998
verified: no, type: recall_at_5
value: 35.085
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.094
verified: no, type: map_at_10
value: 38.22
verified: no, type: map_at_100
value: 39.352
verified: no, type: map_at_1000
value: 39.452
verified: no, type: map_at_3
value: 35.339
verified: no, type: map_at_5
value: 36.78
verified: no, type: mrr_at_1
value: 33.022
verified: no, type: mrr_at_10
value: 42.466
verified: no, type: mrr_at_100
value: 43.3
verified: no, type: mrr_at_1000
value: 43.356
verified: no, type: mrr_at_3
value: 40.159
verified: no, type: mrr_at_5
value: 41.272999999999996
verified: no, type: ndcg_at_1
value: 33.022
verified: no, type: ndcg_at_10
value: 43.976
verified: no, type: ndcg_at_100
value: 49.008
verified: no, type: ndcg_at_1000
value: 51.154999999999994
verified: no, type: ndcg_at_3
value: 38.891
verified: no, type: ndcg_at_5
value: 40.897
verified: no, type: precision_at_1
value: 33.022
verified: no, type: precision_at_10
value: 7.396999999999999
verified: no, type: precision_at_100
value: 1.1199999999999999
verified: no, type: precision_at_1000
value: 0.14200000000000002
verified: no, type: precision_at_3
value: 17.724
verified: no, type: precision_at_5
value: 12.239
verified: no, type: recall_at_1
value: 28.094
verified: no, type: recall_at_10
value: 57.162
verified: no, type: recall_at_100
value: 78.636
verified: no, type: recall_at_1000
value: 93.376
verified: no, type: recall_at_3
value: 43.328
verified: no, type: recall_at_5
value: 48.252
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.937
verified: no, type: map_at_10
value: 34.82
verified: no, type: map_at_100
value: 36.405
verified: no, type: map_at_1000
value: 36.626
verified: no, type: map_at_3
value: 31.548
verified: no, type: map_at_5
value: 33.355000000000004
verified: no, type: mrr_at_1
value: 30.435000000000002
verified: no, type: mrr_at_10
value: 39.946
verified: no, type: mrr_at_100
value: 40.873
verified: no, type: mrr_at_1000
value: 40.910000000000004
verified: no, type: mrr_at_3
value: 37.088
verified: no, type: mrr_at_5
value: 38.808
verified: no, type: ndcg_at_1
value: 30.435000000000002
verified: no, type: ndcg_at_10
value: 41.25
verified: no, type: ndcg_at_100
value: 47.229
verified: no, type: ndcg_at_1000
value: 49.395
verified: no, type: ndcg_at_3
value: 35.801
verified: no, type: ndcg_at_5
value: 38.457
verified: no, type: precision_at_1
value: 30.435000000000002
verified: no, type: precision_at_10
value: 8.083
verified: no, type: precision_at_100
value: 1.601
verified: no, type: precision_at_1000
value: 0.247
verified: no, type: precision_at_3
value: 17.061999999999998
verified: no, type: precision_at_5
value: 12.767000000000001
verified: no, type: recall_at_1
value: 24.937
verified: no, type: recall_at_10
value: 53.905
verified: no, type: recall_at_100
value: 80.607
verified: no, type: recall_at_1000
value: 93.728
verified: no, type: recall_at_3
value: 38.446000000000005
verified: no, type: recall_at_5
value: 45.188
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.095000000000002
verified: no, type: map_at_10
value: 30.935000000000002
verified: no, type: map_at_100
value: 31.907000000000004
verified: no, type: map_at_1000
value: 32.006
verified: no, type: map_at_3
value: 28.242
verified: no, type: map_at_5
value: 29.963
verified: no, type: mrr_at_1
value: 23.845
verified: no, type: mrr_at_10
value: 32.978
verified: no, type: mrr_at_100
value: 33.802
verified: no, type: mrr_at_1000
value: 33.867000000000004
verified: no, type: mrr_at_3
value: 30.314000000000004
verified: no, type: mrr_at_5
value: 32.089
verified: no, type: ndcg_at_1
value: 23.845
verified: no, type: ndcg_at_10
value: 35.934
verified: no, type: ndcg_at_100
value: 40.598
verified: no, type: ndcg_at_1000
value: 43.089
verified: no, type: ndcg_at_3
value: 30.776999999999997
verified: no, type: ndcg_at_5
value: 33.711999999999996
verified: no, type: precision_at_1
value: 23.845
verified: no, type: precision_at_10
value: 5.656
verified: no, type: precision_at_100
value: 0.861
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 13.247
verified: no, type: precision_at_5
value: 9.612
verified: no, type: recall_at_1
value: 22.095000000000002
verified: no, type: recall_at_10
value: 49.25
verified: no, type: recall_at_100
value: 70.482
verified: no, type: recall_at_1000
value: 88.98899999999999
verified: no, type: recall_at_3
value: 35.619
verified: no, type: recall_at_5
value: 42.674
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 14.154
verified: no, type: map_at_10
value: 24.654999999999998
verified: no, type: map_at_100
value: 26.723999999999997
verified: no, type: map_at_1000
value: 26.912000000000003
verified: no, type: map_at_3
value: 20.4
verified: no, type: map_at_5
value: 22.477
verified: no, type: mrr_at_1
value: 32.117000000000004
verified: no, type: mrr_at_10
value: 44.590999999999994
verified: no, type: mrr_at_100
value: 45.425
verified: no, type: mrr_at_1000
value: 45.456
verified: no, type: mrr_at_3
value: 41.281
verified: no, type: mrr_at_5
value: 43.219
verified: no, type: ndcg_at_1
value: 32.117000000000004
verified: no, type: ndcg_at_10
value: 33.994
verified: no, type: ndcg_at_100
value: 41.438
verified: no, type: ndcg_at_1000
value: 44.611000000000004
verified: no, type: ndcg_at_3
value: 27.816000000000003
verified: no, type: ndcg_at_5
value: 29.816
verified: no, type: precision_at_1
value: 32.117000000000004
verified: no, type: precision_at_10
value: 10.756
verified: no, type: precision_at_100
value: 1.8679999999999999
verified: no, type: precision_at_1000
value: 0.246
verified: no, type: precision_at_3
value: 20.803
verified: no, type: precision_at_5
value: 15.987000000000002
verified: no, type: recall_at_1
value: 14.154
verified: no, type: recall_at_10
value: 40.489999999999995
verified: no, type: recall_at_100
value: 65.635
verified: no, type: recall_at_1000
value: 83.276
verified: no, type: recall_at_3
value: 25.241000000000003
verified: no, type: recall_at_5
value: 31.211
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 9.332
verified: no, type: map_at_10
value: 20.462
verified: no, type: map_at_100
value: 29.473
verified: no, type: map_at_1000
value: 31.215
verified: no, type: map_at_3
value: 14.466999999999999
verified: no, type: map_at_5
value: 16.922
verified: no, type: mrr_at_1
value: 69.5
verified: no, type: mrr_at_10
value: 77.039
verified: no, type: mrr_at_100
value: 77.265
verified: no, type: mrr_at_1000
value: 77.271
verified: no, type: mrr_at_3
value: 75.5
verified: no, type: mrr_at_5
value: 76.4
verified: no, type: ndcg_at_1
value: 57.125
verified: no, type: ndcg_at_10
value: 42.958
verified: no, type: ndcg_at_100
value: 48.396
verified: no, type: ndcg_at_1000
value: 55.897
verified: no, type: ndcg_at_3
value: 47.188
verified: no, type: ndcg_at_5
value: 44.376
verified: no, type: precision_at_1
value: 69.5
verified: no, type: precision_at_10
value: 34.5
verified: no, type: precision_at_100
value: 11.18
verified: no, type: precision_at_1000
value: 2.13
verified: no, type: precision_at_3
value: 51.083
verified: no, type: precision_at_5
value: 43.1
verified: no, type: recall_at_1
value: 9.332
verified: no, type: recall_at_10
value: 26.422
verified: no, type: recall_at_100
value: 56.098000000000006
verified: no, type: recall_at_1000
value: 79.66
verified: no, type: recall_at_3
value: 15.703
verified: no, type: recall_at_5
value: 19.644000000000002
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 54.72
verified: no, type: f1
value: 49.67819606587526
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 74.97
verified: no, type: map_at_10
value: 82.956
verified: no, type: map_at_100
value: 83.193
verified: no, type: map_at_1000
value: 83.208
verified: no, type: map_at_3
value: 81.837
verified: no, type: map_at_5
value: 82.57
verified: no, type: mrr_at_1
value: 80.783
verified: no, type: mrr_at_10
value: 87.546
verified: no, type: mrr_at_100
value: 87.627
verified: no, type: mrr_at_1000
value: 87.63
verified: no, type: mrr_at_3
value: 86.79400000000001
verified: no, type: mrr_at_5
value: 87.32799999999999
verified: no, type: ndcg_at_1
value: 80.783
verified: no, type: ndcg_at_10
value: 86.54899999999999
verified: no, type: ndcg_at_100
value: 87.355
verified: no, type: ndcg_at_1000
value: 87.629
verified: no, type: ndcg_at_3
value: 84.82
verified: no, type: ndcg_at_5
value: 85.83800000000001
verified: no, type: precision_at_1
value: 80.783
verified: no, type: precision_at_10
value: 10.327
verified: no, type: precision_at_100
value: 1.094
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 32.218
verified: no, type: precision_at_5
value: 20.012
verified: no, type: recall_at_1
value: 74.97
verified: no, type: recall_at_10
value: 93.072
verified: no, type: recall_at_100
value: 96.218
verified: no, type: recall_at_1000
value: 97.991
verified: no, type: recall_at_3
value: 88.357
verified: no, type: recall_at_5
value: 90.983
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 21.12
verified: no, type: map_at_10
value: 35.908
verified: no, type: map_at_100
value: 37.895
verified: no, type: map_at_1000
value: 38.068000000000005
verified: no, type: map_at_3
value: 31.189
verified: no, type: map_at_5
value: 33.908
verified: no, type: mrr_at_1
value: 42.901
verified: no, type: mrr_at_10
value: 52.578
verified: no, type: mrr_at_100
value: 53.308
verified: no, type: mrr_at_1000
value: 53.342
verified: no, type: mrr_at_3
value: 50.385999999999996
verified: no, type: mrr_at_5
value: 51.62799999999999
verified: no, type: ndcg_at_1
value: 42.901
verified: no, type: ndcg_at_10
value: 44.302
verified: no, type: ndcg_at_100
value: 51.132999999999996
verified: no, type: ndcg_at_1000
value: 53.848
verified: no, type: ndcg_at_3
value: 40.464
verified: no, type: ndcg_at_5
value: 41.743
verified: no, type: precision_at_1
value: 42.901
verified: no, type: precision_at_10
value: 12.423
verified: no, type: precision_at_100
value: 1.968
verified: no, type: precision_at_1000
value: 0.246
verified: no, type: precision_at_3
value: 27.622999999999998
verified: no, type: precision_at_5
value: 20.278
verified: no, type: recall_at_1
value: 21.12
verified: no, type: recall_at_10
value: 52.091
verified: no, type: recall_at_100
value: 77.062
verified: no, type: recall_at_1000
value: 93.082
verified: no, type: recall_at_3
value: 37.223
verified: no, type: recall_at_5
value: 43.826
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 38.940000000000005
verified: no, type: map_at_10
value: 62.239999999999995
verified: no, type: map_at_100
value: 63.141000000000005
verified: no, type: map_at_1000
value: 63.205999999999996
verified: no, type: map_at_3
value: 58.738
verified: no, type: map_at_5
value: 60.924
verified: no, type: mrr_at_1
value: 77.88000000000001
verified: no, type: mrr_at_10
value: 83.7
verified: no, type: mrr_at_100
value: 83.882
verified: no, type: mrr_at_1000
value: 83.889
verified: no, type: mrr_at_3
value: 82.748
verified: no, type: mrr_at_5
value: 83.381
verified: no, type: ndcg_at_1
value: 77.88000000000001
verified: no, type: ndcg_at_10
value: 70.462
verified: no, type: ndcg_at_100
value: 73.564
verified: no, type: ndcg_at_1000
value: 74.78099999999999
verified: no, type: ndcg_at_3
value: 65.524
verified: no, type: ndcg_at_5
value: 68.282
verified: no, type: precision_at_1
value: 77.88000000000001
verified: no, type: precision_at_10
value: 14.81
verified: no, type: precision_at_100
value: 1.7229999999999999
verified: no, type: precision_at_1000
value: 0.188
verified: no, type: precision_at_3
value: 42.083999999999996
verified: no, type: precision_at_5
value: 27.43
verified: no, type: recall_at_1
value: 38.940000000000005
verified: no, type: recall_at_10
value: 74.051
verified: no, type: recall_at_100
value: 86.158
verified: no, type: recall_at_1000
value: 94.146
verified: no, type: recall_at_3
value: 63.126000000000005
verified: no, type: recall_at_5
value: 68.575
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 91.23440000000001
verified: no, type: ap
value: 87.33490392265892
verified: no, type: f1
value: 91.21374626021836
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 22.137999999999998
verified: no, type: map_at_10
value: 34.471000000000004
verified: no, type: map_at_100
value: 35.634
verified: no, type: map_at_1000
value: 35.685
verified: no, type: map_at_3
value: 30.587999999999997
verified: no, type: map_at_5
value: 32.812999999999995
verified: no, type: mrr_at_1
value: 22.736
verified: no, type: mrr_at_10
value: 35.092
verified: no, type: mrr_at_100
value: 36.193999999999996
verified: no, type: mrr_at_1000
value: 36.238
verified: no, type: mrr_at_3
value: 31.28
verified: no, type: mrr_at_5
value: 33.498
verified: no, type: ndcg_at_1
value: 22.736
verified: no, type: ndcg_at_10
value: 41.388999999999996
verified: no, type: ndcg_at_100
value: 46.967999999999996
verified: no, type: ndcg_at_1000
value: 48.178
verified: no, type: ndcg_at_3
value: 33.503
verified: no, type: ndcg_at_5
value: 37.484
verified: no, type: precision_at_1
value: 22.736
verified: no, type: precision_at_10
value: 6.54
verified: no, type: precision_at_100
value: 0.9339999999999999
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 14.249999999999998
verified: no, type: precision_at_5
value: 10.562000000000001
verified: no, type: recall_at_1
value: 22.137999999999998
verified: no, type: recall_at_10
value: 62.629999999999995
verified: no, type: recall_at_100
value: 88.375
verified: no, type: recall_at_1000
value: 97.529
verified: no, type: recall_at_3
value: 41.245
verified: no, type: recall_at_5
value: 50.808
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 95.25079799361606
verified: no, type: f1
value: 95.00726023695032
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 78.23757409940721
verified: no, type: f1
value: 58.534958803195714
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: 76.20040349697378
verified: no, type: f1
value: 74.31261149784696
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: 79.35104236718227
verified: no, type: f1
value: 79.7373049864316
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: 34.478828180753126
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: 32.25696147904426
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 32.82488548405117
verified: no, type: mrr
value: 34.066706809031096
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 6.557
verified: no, type: map_at_10
value: 15.055
verified: no, type: map_at_100
value: 19.575
verified: no, type: map_at_1000
value: 21.267
verified: no, type: map_at_3
value: 10.86
verified: no, type: map_at_5
value: 12.83
verified: no, type: mrr_at_1
value: 50.464
verified: no, type: mrr_at_10
value: 59.050999999999995
verified: no, type: mrr_at_100
value: 59.436
verified: no, type: mrr_at_1000
value: 59.476
verified: no, type: mrr_at_3
value: 56.811
verified: no, type: mrr_at_5
value: 58.08
verified: no, type: ndcg_at_1
value: 47.988
verified: no, type: ndcg_at_10
value: 38.645
verified: no, type: ndcg_at_100
value: 36.339
verified: no, type: ndcg_at_1000
value: 45.279
verified: no, type: ndcg_at_3
value: 43.35
verified: no, type: ndcg_at_5
value: 41.564
verified: no, type: precision_at_1
value: 49.845
verified: no, type: precision_at_10
value: 28.544999999999998
verified: no, type: precision_at_100
value: 9.322
verified: no, type: precision_at_1000
value: 2.258
verified: no, type: precision_at_3
value: 40.144000000000005
verified: no, type: precision_at_5
value: 35.913000000000004
verified: no, type: recall_at_1
value: 6.557
verified: no, type: recall_at_10
value: 19.5
verified: no, type: recall_at_100
value: 37.153999999999996
verified: no, type: recall_at_1000
value: 69.581
verified: no, type: recall_at_3
value: 12.133
verified: no, type: recall_at_5
value: 15.43
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.740000000000002
verified: no, type: map_at_10
value: 48.150999999999996
verified: no, type: map_at_100
value: 49.125
verified: no, type: map_at_1000
value: 49.149
verified: no, type: map_at_3
value: 43.645
verified: no, type: map_at_5
value: 46.417
verified: no, type: mrr_at_1
value: 35.892
verified: no, type: mrr_at_10
value: 50.524
verified: no, type: mrr_at_100
value: 51.232
verified: no, type: mrr_at_1000
value: 51.24999999999999
verified: no, type: mrr_at_3
value: 46.852
verified: no, type: mrr_at_5
value: 49.146
verified: no, type: ndcg_at_1
value: 35.892
verified: no, type: ndcg_at_10
value: 56.08800000000001
verified: no, type: ndcg_at_100
value: 60.077000000000005
verified: no, type: ndcg_at_1000
value: 60.632
verified: no, type: ndcg_at_3
value: 47.765
verified: no, type: ndcg_at_5
value: 52.322
verified: no, type: precision_at_1
value: 35.892
verified: no, type: precision_at_10
value: 9.296
verified: no, type: precision_at_100
value: 1.154
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 21.92
verified: no, type: precision_at_5
value: 15.781999999999998
verified: no, type: recall_at_1
value: 31.740000000000002
verified: no, type: recall_at_10
value: 77.725
verified: no, type: recall_at_100
value: 94.841
verified: no, type: recall_at_1000
value: 99.003
verified: no, type: recall_at_3
value: 56.407
verified: no, type: recall_at_5
value: 66.848
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 71.429
verified: no, type: map_at_10
value: 85.42699999999999
verified: no, type: map_at_100
value: 86.063
verified: no, type: map_at_1000
value: 86.077
verified: no, type: map_at_3
value: 82.573
verified: no, type: map_at_5
value: 84.371
verified: no, type: mrr_at_1
value: 82.34
verified: no, type: mrr_at_10
value: 88.247
verified: no, type: mrr_at_100
value: 88.357
verified: no, type: mrr_at_1000
value: 88.357
verified: no, type: mrr_at_3
value: 87.38
verified: no, type: mrr_at_5
value: 87.981
verified: no, type: ndcg_at_1
value: 82.34
verified: no, type: ndcg_at_10
value: 88.979
verified: no, type: ndcg_at_100
value: 90.18599999999999
verified: no, type: ndcg_at_1000
value: 90.254
verified: no, type: ndcg_at_3
value: 86.378
verified: no, type: ndcg_at_5
value: 87.821
verified: no, type: precision_at_1
value: 82.34
verified: no, type: precision_at_10
value: 13.482
verified: no, type: precision_at_100
value: 1.537
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.852999999999994
verified: no, type: precision_at_5
value: 24.798000000000002
verified: no, type: recall_at_1
value: 71.429
verified: no, type: recall_at_10
value: 95.64099999999999
verified: no, type: recall_at_100
value: 99.723
verified: no, type: recall_at_1000
value: 99.98
verified: no, type: recall_at_3
value: 88.011
verified: no, type: recall_at_5
value: 92.246
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 60.62148584103299
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics: type: v_measure
value: 63.2923987272903
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.128
verified: no, type: map_at_10
value: 14.63
verified: no, type: map_at_100
value: 17.285
verified: no, type: map_at_1000
value: 17.676
verified: no, type: map_at_3
value: 9.993
verified: no, type: map_at_5
value: 12.286999999999999
verified: no, type: mrr_at_1
value: 25.4
verified: no, type: mrr_at_10
value: 38.423
verified: no, type: mrr_at_100
value: 39.497
verified: no, type: mrr_at_1000
value: 39.531
verified: no, type: mrr_at_3
value: 34.9
verified: no, type: mrr_at_5
value: 37.01
verified: no, type: ndcg_at_1
value: 25.4
verified: no, type: ndcg_at_10
value: 24.062
verified: no, type: ndcg_at_100
value: 33.823
verified: no, type: ndcg_at_1000
value: 39.663
verified: no, type: ndcg_at_3
value: 22.246
verified: no, type: ndcg_at_5
value: 19.761
verified: no, type: precision_at_1
value: 25.4
verified: no, type: precision_at_10
value: 12.85
verified: no, type: precision_at_100
value: 2.71
verified: no, type: precision_at_1000
value: 0.41000000000000003
verified: no, type: precision_at_3
value: 21.4
verified: no, type: precision_at_5
value: 17.86
verified: no, type: recall_at_1
value: 5.128
verified: no, type: recall_at_10
value: 26.06
verified: no, type: recall_at_100
value: 54.993
verified: no, type: recall_at_1000
value: 83.165
verified: no, type: recall_at_3
value: 13.003
verified: no, type: recall_at_5
value: 18.117
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: 87.5466779326323
verified: no, type: cos_sim_spearman
value: 82.79782085421951
verified: no, type: euclidean_pearson
value: 84.76929982677339
verified: no, type: euclidean_spearman
value: 82.51802536005597
verified: no, type: manhattan_pearson
value: 84.76736312526177
verified: no, type: manhattan_spearman
value: 82.50799656335593
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_pearson
value: 86.40486308108694
verified: no, type: cos_sim_spearman
value: 77.12670500926937
verified: no, type: euclidean_pearson
value: 85.23836845503847
verified: no, type: euclidean_spearman
value: 78.41475117006176
verified: no, type: manhattan_pearson
value: 85.24302039610805
verified: no, type: manhattan_spearman
value: 78.4053162562707
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: 88.83570289087565
verified: no, type: cos_sim_spearman
value: 89.28563503553643
verified: no, type: euclidean_pearson
value: 87.77516003996445
verified: no, type: euclidean_spearman
value: 88.8656149534085
verified: no, type: manhattan_pearson
value: 87.75568872417946
verified: no, type: manhattan_spearman
value: 88.80445489340585
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: 86.776406555485
verified: no, type: cos_sim_spearman
value: 83.8288465070091
verified: no, type: euclidean_pearson
value: 85.37827999808123
verified: no, type: euclidean_spearman
value: 84.11079529992739
verified: no, type: manhattan_pearson
value: 85.35336495689121
verified: no, type: manhattan_spearman
value: 84.08618492649347
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: 88.57644404820684
verified: no, type: cos_sim_spearman
value: 89.69728364350713
verified: no, type: euclidean_pearson
value: 88.28202320389443
verified: no, type: euclidean_spearman
value: 88.9560567319321
verified: no, type: manhattan_pearson
value: 88.29461100044172
verified: no, type: manhattan_spearman
value: 88.96030920678558
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: 85.05211938460621
verified: no, type: cos_sim_spearman
value: 86.43413865667489
verified: no, type: euclidean_pearson
value: 85.62760689259562
verified: no, type: euclidean_spearman
value: 86.28867831982394
verified: no, type: manhattan_pearson
value: 85.60828879163458
verified: no, type: manhattan_spearman
value: 86.27823731462473
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: 90.00254140466377
verified: no, type: cos_sim_spearman
value: 89.66118745178284
verified: no, type: euclidean_pearson
value: 89.46985446236553
verified: no, type: euclidean_spearman
value: 88.92649032371526
verified: no, type: manhattan_pearson
value: 89.49600028180247
verified: no, type: manhattan_spearman
value: 88.86948431519099
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: 68.93578321067938
verified: no, type: cos_sim_spearman
value: 69.60639595839257
verified: no, type: euclidean_pearson
value: 70.33485090574897
verified: no, type: euclidean_spearman
value: 69.03380379185452
verified: no, type: manhattan_pearson
value: 70.42097254943839
verified: no, type: manhattan_spearman
value: 69.25296348304255
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: 87.29588700755069
verified: no, type: cos_sim_spearman
value: 88.30389489193672
verified: no, type: euclidean_pearson
value: 87.60349838180346
verified: no, type: euclidean_spearman
value: 87.91041868311692
verified: no, type: manhattan_pearson
value: 87.59373630607907
verified: no, type: manhattan_spearman
value: 87.88690174001724
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 87.8030655700857
verified: no, type: mrr
value: 96.3950637234951
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 60.028000000000006
verified: no, type: map_at_10
value: 69.855
verified: no, type: map_at_100
value: 70.257
verified: no, type: map_at_1000
value: 70.283
verified: no, type: map_at_3
value: 66.769
verified: no, type: map_at_5
value: 68.679
verified: no, type: mrr_at_1
value: 62.666999999999994
verified: no, type: mrr_at_10
value: 70.717
verified: no, type: mrr_at_100
value: 71.00800000000001
verified: no, type: mrr_at_1000
value: 71.033
verified: no, type: mrr_at_3
value: 68.389
verified: no, type: mrr_at_5
value: 69.939
verified: no, type: ndcg_at_1
value: 62.666999999999994
verified: no, type: ndcg_at_10
value: 74.715
verified: no, type: ndcg_at_100
value: 76.364
verified: no, type: ndcg_at_1000
value: 76.89399999999999
verified: no, type: ndcg_at_3
value: 69.383
verified: no, type: ndcg_at_5
value: 72.322
verified: no, type: precision_at_1
value: 62.666999999999994
verified: no, type: precision_at_10
value: 10.067
verified: no, type: precision_at_100
value: 1.09
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 27.111
verified: no, type: precision_at_5
value: 18.267
verified: no, type: recall_at_1
value: 60.028000000000006
verified: no, type: recall_at_10
value: 88.822
verified: no, type: recall_at_100
value: 96.167
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 74.367
verified: no, type: recall_at_5
value: 81.661
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: 99.84554455445544
verified: no, type: cos_sim_ap
value: 96.54482863244152
verified: no, type: cos_sim_f1
value: 92.13709677419355
verified: no, type: cos_sim_precision
value: 92.88617886178862
verified: no, type: cos_sim_recall
value: 91.4
verified: no, type: dot_accuracy
value: 99.76039603960396
verified: no, type: dot_ap
value: 93.20115278887057
verified: no, type: dot_f1
value: 87.92079207920793
verified: no, type: dot_precision
value: 87.05882352941177
verified: no, type: dot_recall
value: 88.8
verified: no, type: euclidean_accuracy
value: 99.84950495049505
verified: no, type: euclidean_ap
value: 96.53268343961348
verified: no, type: euclidean_f1
value: 92.23697650663942
verified: no, type: euclidean_precision
value: 94.258872651357
verified: no, type: euclidean_recall
value: 90.3
verified: no, type: manhattan_accuracy
value: 99.85346534653465
verified: no, type: manhattan_ap
value: 96.54495433438355
verified: no, type: manhattan_f1
value: 92.51012145748987
verified: no, type: manhattan_precision
value: 93.64754098360656
verified: no, type: manhattan_recall
value: 91.4
verified: no, type: max_accuracy
value: 99.85346534653465
verified: no, type: max_ap
value: 96.54495433438355
verified: no, type: max_f1
value: 92.51012145748987
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 66.46940443952006
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: 36.396194493841584
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 54.881717673695555
verified: no, type: mrr
value: 55.73439224174519
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 31.438177268254087
verified: no, type: cos_sim_spearman
value: 30.96177698848688
verified: no, type: dot_pearson
value: 30.513850376431435
verified: no, type: dot_spearman
value: 29.932421046509706
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.21
verified: no, type: map_at_10
value: 1.727
verified: no, type: map_at_100
value: 9.881
verified: no, type: map_at_1000
value: 24.245
verified: no, type: map_at_3
value: 0.615
verified: no, type: map_at_5
value: 0.966
verified: no, type: mrr_at_1
value: 78
verified: no, type: mrr_at_10
value: 87.333
verified: no, type: mrr_at_100
value: 87.333
verified: no, type: mrr_at_1000
value: 87.333
verified: no, type: mrr_at_3
value: 86.333
verified: no, type: mrr_at_5
value: 87.333
verified: no, type: ndcg_at_1
value: 74
verified: no, type: ndcg_at_10
value: 69.12700000000001
verified: no, type: ndcg_at_100
value: 53.893
verified: no, type: ndcg_at_1000
value: 49.639
verified: no, type: ndcg_at_3
value: 74.654
verified: no, type: ndcg_at_5
value: 73.232
verified: no, type: precision_at_1
value: 78
verified: no, type: precision_at_10
value: 72.8
verified: no, type: precision_at_100
value: 55.42
verified: no, type: precision_at_1000
value: 21.73
verified: no, type: precision_at_3
value: 79.333
verified: no, type: precision_at_5
value: 77.2
verified: no, type: recall_at_1
value: 0.21
verified: no, type: recall_at_10
value: 1.9709999999999999
verified: no, type: recall_at_100
value: 13.555
verified: no, type: recall_at_1000
value: 46.961999999999996
verified: no, type: recall_at_3
value: 0.66
verified: no, type: recall_at_5
value: 1.052
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.456
verified: no, type: map_at_10
value: 9.426
verified: no, type: map_at_100
value: 16.066
verified: no, type: map_at_1000
value: 17.652
verified: no, type: map_at_3
value: 5.2459999999999996
verified: no, type: map_at_5
value: 6.5360000000000005
verified: no, type: mrr_at_1
value: 34.694
verified: no, type: mrr_at_10
value: 47.666
verified: no, type: mrr_at_100
value: 48.681999999999995
verified: no, type: mrr_at_1000
value: 48.681999999999995
verified: no, type: mrr_at_3
value: 43.878
verified: no, type: mrr_at_5
value: 46.224
verified: no, type: ndcg_at_1
value: 31.633
verified: no, type: ndcg_at_10
value: 23.454
verified: no, type: ndcg_at_100
value: 36.616
verified: no, type: ndcg_at_1000
value: 48.596000000000004
verified: no, type: ndcg_at_3
value: 28.267999999999997
verified: no, type: ndcg_at_5
value: 25.630999999999997
verified: no, type: precision_at_1
value: 34.694
verified: no, type: precision_at_10
value: 20.204
verified: no, type: precision_at_100
value: 7.754999999999999
verified: no, type: precision_at_1000
value: 1.5709999999999997
verified: no, type: precision_at_3
value: 29.252
verified: no, type: precision_at_5
value: 24.898
verified: no, type: recall_at_1
value: 2.456
verified: no, type: recall_at_10
value: 14.951
verified: no, type: recall_at_100
value: 48.399
verified: no, type: recall_at_1000
value: 85.077
verified: no, type: recall_at_3
value: 6.1370000000000005
verified: no, type: recall_at_5
value: 8.671
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 71.86240000000001
verified: no, type: ap
value: 14.678570078747494
verified: no, type: f1
value: 55.295967793934445
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 59.17374080362195
verified: no, type: f1
value: 59.54410874861454
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 51.91227822485289
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: 87.12523097097217
verified: no, type: cos_sim_ap
value: 77.59606075943269
verified: no, type: cos_sim_f1
value: 71.11395646606915
verified: no, type: cos_sim_precision
value: 69.07960199004975
verified: no, type: cos_sim_recall
value: 73.27176781002639
verified: no, type: dot_accuracy
value: 84.68736961316088
verified: no, type: dot_ap
value: 68.47167450741459
verified: no, type: dot_f1
value: 64.42152354914874
verified: no, type: dot_precision
value: 60.887949260042284
verified: no, type: dot_recall
value: 68.3905013192612
verified: no, type: euclidean_accuracy
value: 86.88084878106932
verified: no, type: euclidean_ap
value: 77.27351204978599
verified: no, type: euclidean_f1
value: 70.99179716629381
verified: no, type: euclidean_precision
value: 67.10526315789474
verified: no, type: euclidean_recall
value: 75.35620052770449
verified: no, type: manhattan_accuracy
value: 86.83316445133218
verified: no, type: manhattan_ap
value: 77.21835357308716
verified: no, type: manhattan_f1
value: 71.05587004676349
verified: no, type: manhattan_precision
value: 66.58210332103322
verified: no, type: manhattan_recall
value: 76.17414248021109
verified: no, type: max_accuracy
value: 87.12523097097217
verified: no, type: max_ap
value: 77.59606075943269
verified: no, type: max_f1
value: 71.11395646606915
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: 88.97232894787906
verified: no, type: cos_sim_ap
value: 85.9613736469497
verified: no, type: cos_sim_f1
value: 78.40216655382532
verified: no, type: cos_sim_precision
value: 72.97512437810946
verified: no, type: cos_sim_recall
value: 84.70126270403449
verified: no, type: dot_accuracy
value: 88.04866689952264
verified: no, type: dot_ap
value: 83.15465089499936
verified: no, type: dot_f1
value: 76.32698287879329
verified: no, type: dot_precision
value: 71.23223697378077
verified: no, type: dot_recall
value: 82.20665229442562
verified: no, type: euclidean_accuracy
value: 88.67543757519307
verified: no, type: euclidean_ap
value: 85.4524355531532
verified: no, type: euclidean_f1
value: 77.78729106950081
verified: no, type: euclidean_precision
value: 75.3009009009009
verified: no, type: euclidean_recall
value: 80.44348629504158
verified: no, type: manhattan_accuracy
value: 88.65991384328792
verified: no, type: manhattan_ap
value: 85.43109069046837
verified: no, type: manhattan_f1
value: 77.72639551396425
verified: no, type: manhattan_precision
value: 73.73402417962004
verified: no, type: manhattan_recall
value: 82.17585463504774
verified: no, type: max_accuracy
value: 88.97232894787906
verified: no, type: max_ap
value: 85.9613736469497
verified: no, type: max_f1
value: 78.40216655382532
verified: no
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Created: 2024-02-14 18:26:25