Model: srikanthmalla/hkunlp-instructor-xl
Author: srikanthmalla
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, t5, text-embedding, embeddings, information-retrieval, beir, text-classification, language-model, text-clustering, text-semantic-similarity, text-evaluation, prompt-retrieval, text-reranking, feature-extraction, sentence-similarity, transformers, English, Sentence Similarity, natural_questions, ms_marco, fever, hotpot_qa, mteb, en, arxiv:2212.09741, license:apache-2.0, model-index, text-generation-inference, region:us
Card metadata: pipeline_tag: sentence-similarity
tags: text-embedding, embeddings, information-retrieval, beir, text-classification, language-model, text-clustering, text-semantic-similarity, text-evaluation, prompt-retrieval, text-reranking, sentence-transformers, feature-extraction, sentence-similarity, transformers, t5, English, Sentence Similarity, natural_questions, ms_marco, fever, hotpot_qa, mteb
language: en
inference: no
license: apache-2.0
model-index: name: final_xl_results
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 85.08955223880596
verified: no, type: ap
value: 52.66066378722476
verified: no, type: f1
value: 79.63340218960269
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 86.542
verified: no, type: ap
value: 81.92695193008987
verified: no, type: f1
value: 86.51466132573681
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: 42.964
verified: no, type: f1
value: 41.43146249774862
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 29.872
verified: no, type: map_at_10
value: 46.342
verified: no, type: map_at_100
value: 47.152
verified: no, type: map_at_1000
value: 47.154
verified: no, type: map_at_3
value: 41.216
verified: no, type: map_at_5
value: 44.035999999999994
verified: no, type: mrr_at_1
value: 30.939
verified: no, type: mrr_at_10
value: 46.756
verified: no, type: mrr_at_100
value: 47.573
verified: no, type: mrr_at_1000
value: 47.575
verified: no, type: mrr_at_3
value: 41.548
verified: no, type: mrr_at_5
value: 44.425
verified: no, type: ndcg_at_1
value: 29.872
verified: no, type: ndcg_at_10
value: 55.65
verified: no, type: ndcg_at_100
value: 58.88099999999999
verified: no, type: ndcg_at_1000
value: 58.951
verified: no, type: ndcg_at_3
value: 45
verified: no, type: ndcg_at_5
value: 50.09
verified: no, type: precision_at_1
value: 29.872
verified: no, type: precision_at_10
value: 8.549
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: 18.658
verified: no, type: precision_at_5
value: 13.669999999999998
verified: no, type: recall_at_1
value: 29.872
verified: no, type: recall_at_10
value: 85.491
verified: no, type: recall_at_100
value: 99.075
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 55.974000000000004
verified: no, type: recall_at_5
value: 68.35
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: 42.452729850641276
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: 32.21141846480423
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 65.34710928952622
verified: no, type: mrr
value: 77.61124301983028
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_spearman
value: 84.15312230525639
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 82.66233766233766
verified: no, type: f1
value: 82.04175284777669
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 37.36697339826455
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: 30.551241447593092
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 36.797000000000004
verified: no, type: map_at_10
value: 48.46
verified: no, type: map_at_100
value: 49.968
verified: no, type: map_at_1000
value: 50.080000000000005
verified: no, type: map_at_3
value: 44.71
verified: no, type: map_at_5
value: 46.592
verified: no, type: mrr_at_1
value: 45.494
verified: no, type: mrr_at_10
value: 54.747
verified: no, type: mrr_at_100
value: 55.43599999999999
verified: no, type: mrr_at_1000
value: 55.464999999999996
verified: no, type: mrr_at_3
value: 52.361000000000004
verified: no, type: mrr_at_5
value: 53.727000000000004
verified: no, type: ndcg_at_1
value: 45.494
verified: no, type: ndcg_at_10
value: 54.989
verified: no, type: ndcg_at_100
value: 60.096000000000004
verified: no, type: ndcg_at_1000
value: 61.58
verified: no, type: ndcg_at_3
value: 49.977
verified: no, type: ndcg_at_5
value: 51.964999999999996
verified: no, type: precision_at_1
value: 45.494
verified: no, type: precision_at_10
value: 10.558
verified: no, type: precision_at_100
value: 1.6049999999999998
verified: no, type: precision_at_1000
value: 0.203
verified: no, type: precision_at_3
value: 23.796
verified: no, type: precision_at_5
value: 16.881
verified: no, type: recall_at_1
value: 36.797000000000004
verified: no, type: recall_at_10
value: 66.83
verified: no, type: recall_at_100
value: 88.34100000000001
verified: no, type: recall_at_1000
value: 97.202
verified: no, type: recall_at_3
value: 51.961999999999996
verified: no, type: recall_at_5
value: 57.940000000000005
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.597
verified: no, type: map_at_10
value: 43.424
verified: no, type: map_at_100
value: 44.78
verified: no, type: map_at_1000
value: 44.913
verified: no, type: map_at_3
value: 40.315
verified: no, type: map_at_5
value: 41.987
verified: no, type: mrr_at_1
value: 40.382
verified: no, type: mrr_at_10
value: 49.219
verified: no, type: mrr_at_100
value: 49.895
verified: no, type: mrr_at_1000
value: 49.936
verified: no, type: mrr_at_3
value: 46.996
verified: no, type: mrr_at_5
value: 48.231
verified: no, type: ndcg_at_1
value: 40.382
verified: no, type: ndcg_at_10
value: 49.318
verified: no, type: ndcg_at_100
value: 53.839999999999996
verified: no, type: ndcg_at_1000
value: 55.82899999999999
verified: no, type: ndcg_at_3
value: 44.914
verified: no, type: ndcg_at_5
value: 46.798
verified: no, type: precision_at_1
value: 40.382
verified: no, type: precision_at_10
value: 9.274000000000001
verified: no, type: precision_at_100
value: 1.497
verified: no, type: precision_at_1000
value: 0.198
verified: no, type: precision_at_3
value: 21.592
verified: no, type: precision_at_5
value: 15.159
verified: no, type: recall_at_1
value: 32.597
verified: no, type: recall_at_10
value: 59.882000000000005
verified: no, type: recall_at_100
value: 78.446
verified: no, type: recall_at_1000
value: 90.88000000000001
verified: no, type: recall_at_3
value: 46.9
verified: no, type: recall_at_5
value: 52.222
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 43.8
verified: no, type: map_at_10
value: 57.293000000000006
verified: no, type: map_at_100
value: 58.321
verified: no, type: map_at_1000
value: 58.361
verified: no, type: map_at_3
value: 53.839999999999996
verified: no, type: map_at_5
value: 55.838
verified: no, type: mrr_at_1
value: 49.592000000000006
verified: no, type: mrr_at_10
value: 60.643
verified: no, type: mrr_at_100
value: 61.23499999999999
verified: no, type: mrr_at_1000
value: 61.251999999999995
verified: no, type: mrr_at_3
value: 58.265
verified: no, type: mrr_at_5
value: 59.717
verified: no, type: ndcg_at_1
value: 49.592000000000006
verified: no, type: ndcg_at_10
value: 63.364
verified: no, type: ndcg_at_100
value: 67.167
verified: no, type: ndcg_at_1000
value: 67.867
verified: no, type: ndcg_at_3
value: 57.912
verified: no, type: ndcg_at_5
value: 60.697
verified: no, type: precision_at_1
value: 49.592000000000006
verified: no, type: precision_at_10
value: 10.088
verified: no, type: precision_at_100
value: 1.2930000000000001
verified: no, type: precision_at_1000
value: 0.13899999999999998
verified: no, type: precision_at_3
value: 25.789
verified: no, type: precision_at_5
value: 17.541999999999998
verified: no, type: recall_at_1
value: 43.8
verified: no, type: recall_at_10
value: 77.635
verified: no, type: recall_at_100
value: 93.748
verified: no, type: recall_at_1000
value: 98.468
verified: no, type: recall_at_3
value: 63.223
verified: no, type: recall_at_5
value: 70.122
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.721
verified: no, type: map_at_10
value: 35.626999999999995
verified: no, type: map_at_100
value: 36.719
verified: no, type: map_at_1000
value: 36.8
verified: no, type: map_at_3
value: 32.781
verified: no, type: map_at_5
value: 34.333999999999996
verified: no, type: mrr_at_1
value: 29.604999999999997
verified: no, type: mrr_at_10
value: 37.564
verified: no, type: mrr_at_100
value: 38.505
verified: no, type: mrr_at_1000
value: 38.565
verified: no, type: mrr_at_3
value: 34.727000000000004
verified: no, type: mrr_at_5
value: 36.207
verified: no, type: ndcg_at_1
value: 29.604999999999997
verified: no, type: ndcg_at_10
value: 40.575
verified: no, type: ndcg_at_100
value: 45.613
verified: no, type: ndcg_at_1000
value: 47.676
verified: no, type: ndcg_at_3
value: 34.811
verified: no, type: ndcg_at_5
value: 37.491
verified: no, type: precision_at_1
value: 29.604999999999997
verified: no, type: precision_at_10
value: 6.1690000000000005
verified: no, type: precision_at_100
value: 0.906
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 14.237
verified: no, type: precision_at_5
value: 10.056
verified: no, type: recall_at_1
value: 27.721
verified: no, type: recall_at_10
value: 54.041
verified: no, type: recall_at_100
value: 76.62299999999999
verified: no, type: recall_at_1000
value: 92.134
verified: no, type: recall_at_3
value: 38.582
verified: no, type: recall_at_5
value: 44.989000000000004
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.553
verified: no, type: map_at_10
value: 25.384
verified: no, type: map_at_100
value: 26.655
verified: no, type: map_at_1000
value: 26.778000000000002
verified: no, type: map_at_3
value: 22.733
verified: no, type: map_at_5
value: 24.119
verified: no, type: mrr_at_1
value: 20.149
verified: no, type: mrr_at_10
value: 29.705
verified: no, type: mrr_at_100
value: 30.672
verified: no, type: mrr_at_1000
value: 30.737
verified: no, type: mrr_at_3
value: 27.032
verified: no, type: mrr_at_5
value: 28.369
verified: no, type: ndcg_at_1
value: 20.149
verified: no, type: ndcg_at_10
value: 30.843999999999998
verified: no, type: ndcg_at_100
value: 36.716
verified: no, type: ndcg_at_1000
value: 39.495000000000005
verified: no, type: ndcg_at_3
value: 25.918999999999997
verified: no, type: ndcg_at_5
value: 27.992
verified: no, type: precision_at_1
value: 20.149
verified: no, type: precision_at_10
value: 5.858
verified: no, type: precision_at_100
value: 1.009
verified: no, type: precision_at_1000
value: 0.13799999999999998
verified: no, type: precision_at_3
value: 12.645000000000001
verified: no, type: precision_at_5
value: 9.179
verified: no, type: recall_at_1
value: 16.553
verified: no, type: recall_at_10
value: 43.136
verified: no, type: recall_at_100
value: 68.562
verified: no, type: recall_at_1000
value: 88.208
verified: no, type: recall_at_3
value: 29.493000000000002
verified: no, type: recall_at_5
value: 34.751
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.000999999999998
verified: no, type: map_at_10
value: 39.004
verified: no, type: map_at_100
value: 40.461999999999996
verified: no, type: map_at_1000
value: 40.566
verified: no, type: map_at_3
value: 35.805
verified: no, type: map_at_5
value: 37.672
verified: no, type: mrr_at_1
value: 33.782000000000004
verified: no, type: mrr_at_10
value: 44.702
verified: no, type: mrr_at_100
value: 45.528
verified: no, type: mrr_at_1000
value: 45.576
verified: no, type: mrr_at_3
value: 42.14
verified: no, type: mrr_at_5
value: 43.651
verified: no, type: ndcg_at_1
value: 33.782000000000004
verified: no, type: ndcg_at_10
value: 45.275999999999996
verified: no, type: ndcg_at_100
value: 50.888
verified: no, type: ndcg_at_1000
value: 52.879
verified: no, type: ndcg_at_3
value: 40.191
verified: no, type: ndcg_at_5
value: 42.731
verified: no, type: precision_at_1
value: 33.782000000000004
verified: no, type: precision_at_10
value: 8.200000000000001
verified: no, type: precision_at_100
value: 1.287
verified: no, type: precision_at_1000
value: 0.16199999999999998
verified: no, type: precision_at_3
value: 19.185
verified: no, type: precision_at_5
value: 13.667000000000002
verified: no, type: recall_at_1
value: 28.000999999999998
verified: no, type: recall_at_10
value: 58.131
verified: no, type: recall_at_100
value: 80.869
verified: no, type: recall_at_1000
value: 93.931
verified: no, type: recall_at_3
value: 44.161
verified: no, type: recall_at_5
value: 50.592000000000006
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.047
verified: no, type: map_at_10
value: 38.596000000000004
verified: no, type: map_at_100
value: 40.116
verified: no, type: map_at_1000
value: 40.232
verified: no, type: map_at_3
value: 35.205
verified: no, type: map_at_5
value: 37.076
verified: no, type: mrr_at_1
value: 34.932
verified: no, type: mrr_at_10
value: 44.496
verified: no, type: mrr_at_100
value: 45.47
verified: no, type: mrr_at_1000
value: 45.519999999999996
verified: no, type: mrr_at_3
value: 41.743
verified: no, type: mrr_at_5
value: 43.352000000000004
verified: no, type: ndcg_at_1
value: 34.932
verified: no, type: ndcg_at_10
value: 44.901
verified: no, type: ndcg_at_100
value: 50.788999999999994
verified: no, type: ndcg_at_1000
value: 52.867
verified: no, type: ndcg_at_3
value: 39.449
verified: no, type: ndcg_at_5
value: 41.929
verified: no, type: precision_at_1
value: 34.932
verified: no, type: precision_at_10
value: 8.311
verified: no, type: precision_at_100
value: 1.3050000000000002
verified: no, type: precision_at_1000
value: 0.166
verified: no, type: precision_at_3
value: 18.836
verified: no, type: precision_at_5
value: 13.447000000000001
verified: no, type: recall_at_1
value: 28.047
verified: no, type: recall_at_10
value: 57.717
verified: no, type: recall_at_100
value: 82.182
verified: no, type: recall_at_1000
value: 95.82000000000001
verified: no, type: recall_at_3
value: 42.448
verified: no, type: recall_at_5
value: 49.071
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.861250000000005
verified: no, type: map_at_10
value: 37.529583333333335
verified: no, type: map_at_100
value: 38.7915
verified: no, type: map_at_1000
value: 38.90558333333335
verified: no, type: map_at_3
value: 34.57333333333333
verified: no, type: map_at_5
value: 36.187166666666656
verified: no, type: mrr_at_1
value: 32.88291666666666
verified: no, type: mrr_at_10
value: 41.79750000000001
verified: no, type: mrr_at_100
value: 42.63183333333333
verified: no, type: mrr_at_1000
value: 42.68483333333333
verified: no, type: mrr_at_3
value: 39.313750000000006
verified: no, type: mrr_at_5
value: 40.70483333333333
verified: no, type: ndcg_at_1
value: 32.88291666666666
verified: no, type: ndcg_at_10
value: 43.09408333333333
verified: no, type: ndcg_at_100
value: 48.22158333333333
verified: no, type: ndcg_at_1000
value: 50.358000000000004
verified: no, type: ndcg_at_3
value: 38.129583333333336
verified: no, type: ndcg_at_5
value: 40.39266666666666
verified: no, type: precision_at_1
value: 32.88291666666666
verified: no, type: precision_at_10
value: 7.5584999999999996
verified: no, type: precision_at_100
value: 1.1903333333333332
verified: no, type: precision_at_1000
value: 0.15658333333333332
verified: no, type: precision_at_3
value: 17.495916666666666
verified: no, type: precision_at_5
value: 12.373833333333332
verified: no, type: recall_at_1
value: 27.861250000000005
verified: no, type: recall_at_10
value: 55.215916666666665
verified: no, type: recall_at_100
value: 77.392
verified: no, type: recall_at_1000
value: 92.04908333333334
verified: no, type: recall_at_3
value: 41.37475
verified: no, type: recall_at_5
value: 47.22908333333333
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.064999999999998
verified: no, type: map_at_10
value: 31.635999999999996
verified: no, type: map_at_100
value: 32.596000000000004
verified: no, type: map_at_1000
value: 32.695
verified: no, type: map_at_3
value: 29.612
verified: no, type: map_at_5
value: 30.768
verified: no, type: mrr_at_1
value: 28.528
verified: no, type: mrr_at_10
value: 34.717
verified: no, type: mrr_at_100
value: 35.558
verified: no, type: mrr_at_1000
value: 35.626000000000005
verified: no, type: mrr_at_3
value: 32.745000000000005
verified: no, type: mrr_at_5
value: 33.819
verified: no, type: ndcg_at_1
value: 28.528
verified: no, type: ndcg_at_10
value: 35.647
verified: no, type: ndcg_at_100
value: 40.207
verified: no, type: ndcg_at_1000
value: 42.695
verified: no, type: ndcg_at_3
value: 31.878
verified: no, type: ndcg_at_5
value: 33.634
verified: no, type: precision_at_1
value: 28.528
verified: no, type: precision_at_10
value: 5.46
verified: no, type: precision_at_100
value: 0.84
verified: no, type: precision_at_1000
value: 0.11399999999999999
verified: no, type: precision_at_3
value: 13.547999999999998
verified: no, type: precision_at_5
value: 9.325
verified: no, type: recall_at_1
value: 25.064999999999998
verified: no, type: recall_at_10
value: 45.096000000000004
verified: no, type: recall_at_100
value: 65.658
verified: no, type: recall_at_1000
value: 84.128
verified: no, type: recall_at_3
value: 34.337
verified: no, type: recall_at_5
value: 38.849000000000004
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.276
verified: no, type: map_at_10
value: 24.535
verified: no, type: map_at_100
value: 25.655
verified: no, type: map_at_1000
value: 25.782
verified: no, type: map_at_3
value: 22.228
verified: no, type: map_at_5
value: 23.612
verified: no, type: mrr_at_1
value: 21.266
verified: no, type: mrr_at_10
value: 28.474
verified: no, type: mrr_at_100
value: 29.398000000000003
verified: no, type: mrr_at_1000
value: 29.482000000000003
verified: no, type: mrr_at_3
value: 26.245
verified: no, type: mrr_at_5
value: 27.624
verified: no, type: ndcg_at_1
value: 21.266
verified: no, type: ndcg_at_10
value: 29.087000000000003
verified: no, type: ndcg_at_100
value: 34.374
verified: no, type: ndcg_at_1000
value: 37.433
verified: no, type: ndcg_at_3
value: 25.040000000000003
verified: no, type: ndcg_at_5
value: 27.116
verified: no, type: precision_at_1
value: 21.266
verified: no, type: precision_at_10
value: 5.258
verified: no, type: precision_at_100
value: 0.9299999999999999
verified: no, type: precision_at_1000
value: 0.13699999999999998
verified: no, type: precision_at_3
value: 11.849
verified: no, type: precision_at_5
value: 8.699
verified: no, type: recall_at_1
value: 17.276
verified: no, type: recall_at_10
value: 38.928000000000004
verified: no, type: recall_at_100
value: 62.529
verified: no, type: recall_at_1000
value: 84.44800000000001
verified: no, type: recall_at_3
value: 27.554000000000002
verified: no, type: recall_at_5
value: 32.915
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.297
verified: no, type: map_at_10
value: 36.957
verified: no, type: map_at_100
value: 38.252
verified: no, type: map_at_1000
value: 38.356
verified: no, type: map_at_3
value: 34.121
verified: no, type: map_at_5
value: 35.782000000000004
verified: no, type: mrr_at_1
value: 32.275999999999996
verified: no, type: mrr_at_10
value: 41.198
verified: no, type: mrr_at_100
value: 42.131
verified: no, type: mrr_at_1000
value: 42.186
verified: no, type: mrr_at_3
value: 38.557
verified: no, type: mrr_at_5
value: 40.12
verified: no, type: ndcg_at_1
value: 32.275999999999996
verified: no, type: ndcg_at_10
value: 42.516
verified: no, type: ndcg_at_100
value: 48.15
verified: no, type: ndcg_at_1000
value: 50.344
verified: no, type: ndcg_at_3
value: 37.423
verified: no, type: ndcg_at_5
value: 39.919
verified: no, type: precision_at_1
value: 32.275999999999996
verified: no, type: precision_at_10
value: 7.155
verified: no, type: precision_at_100
value: 1.123
verified: no, type: precision_at_1000
value: 0.14200000000000002
verified: no, type: precision_at_3
value: 17.163999999999998
verified: no, type: precision_at_5
value: 12.127
verified: no, type: recall_at_1
value: 27.297
verified: no, type: recall_at_10
value: 55.238
verified: no, type: recall_at_100
value: 79.2
verified: no, type: recall_at_1000
value: 94.258
verified: no, type: recall_at_3
value: 41.327000000000005
verified: no, type: recall_at_5
value: 47.588
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 29.142000000000003
verified: no, type: map_at_10
value: 38.769
verified: no, type: map_at_100
value: 40.292
verified: no, type: map_at_1000
value: 40.510000000000005
verified: no, type: map_at_3
value: 35.39
verified: no, type: map_at_5
value: 37.009
verified: no, type: mrr_at_1
value: 34.19
verified: no, type: mrr_at_10
value: 43.418
verified: no, type: mrr_at_100
value: 44.132
verified: no, type: mrr_at_1000
value: 44.175
verified: no, type: mrr_at_3
value: 40.547
verified: no, type: mrr_at_5
value: 42.088
verified: no, type: ndcg_at_1
value: 34.19
verified: no, type: ndcg_at_10
value: 45.14
verified: no, type: ndcg_at_100
value: 50.364
verified: no, type: ndcg_at_1000
value: 52.481
verified: no, type: ndcg_at_3
value: 39.466
verified: no, type: ndcg_at_5
value: 41.772
verified: no, type: precision_at_1
value: 34.19
verified: no, type: precision_at_10
value: 8.715
verified: no, type: precision_at_100
value: 1.6150000000000002
verified: no, type: precision_at_1000
value: 0.247
verified: no, type: precision_at_3
value: 18.248
verified: no, type: precision_at_5
value: 13.161999999999999
verified: no, type: recall_at_1
value: 29.142000000000003
verified: no, type: recall_at_10
value: 57.577999999999996
verified: no, type: recall_at_100
value: 81.428
verified: no, type: recall_at_1000
value: 94.017
verified: no, type: recall_at_3
value: 41.402
verified: no, type: recall_at_5
value: 47.695
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.039
verified: no, type: map_at_10
value: 30.669999999999998
verified: no, type: map_at_100
value: 31.682
verified: no, type: map_at_1000
value: 31.794
verified: no, type: map_at_3
value: 28.139999999999997
verified: no, type: map_at_5
value: 29.457
verified: no, type: mrr_at_1
value: 24.399
verified: no, type: mrr_at_10
value: 32.687
verified: no, type: mrr_at_100
value: 33.622
verified: no, type: mrr_at_1000
value: 33.698
verified: no, type: mrr_at_3
value: 30.407
verified: no, type: mrr_at_5
value: 31.552999999999997
verified: no, type: ndcg_at_1
value: 24.399
verified: no, type: ndcg_at_10
value: 35.472
verified: no, type: ndcg_at_100
value: 40.455000000000005
verified: no, type: ndcg_at_1000
value: 43.15
verified: no, type: ndcg_at_3
value: 30.575000000000003
verified: no, type: ndcg_at_5
value: 32.668
verified: no, type: precision_at_1
value: 24.399
verified: no, type: precision_at_10
value: 5.656
verified: no, type: precision_at_100
value: 0.874
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 13.062000000000001
verified: no, type: precision_at_5
value: 9.242
verified: no, type: recall_at_1
value: 22.039
verified: no, type: recall_at_10
value: 48.379
verified: no, type: recall_at_100
value: 71.11800000000001
verified: no, type: recall_at_1000
value: 91.095
verified: no, type: recall_at_3
value: 35.108
verified: no, type: recall_at_5
value: 40.015
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 10.144
verified: no, type: map_at_10
value: 18.238
verified: no, type: map_at_100
value: 20.143
verified: no, type: map_at_1000
value: 20.346
verified: no, type: map_at_3
value: 14.809
verified: no, type: map_at_5
value: 16.567999999999998
verified: no, type: mrr_at_1
value: 22.671
verified: no, type: mrr_at_10
value: 34.906
verified: no, type: mrr_at_100
value: 35.858000000000004
verified: no, type: mrr_at_1000
value: 35.898
verified: no, type: mrr_at_3
value: 31.238
verified: no, type: mrr_at_5
value: 33.342
verified: no, type: ndcg_at_1
value: 22.671
verified: no, type: ndcg_at_10
value: 26.540000000000003
verified: no, type: ndcg_at_100
value: 34.138000000000005
verified: no, type: ndcg_at_1000
value: 37.72
verified: no, type: ndcg_at_3
value: 20.766000000000002
verified: no, type: ndcg_at_5
value: 22.927
verified: no, type: precision_at_1
value: 22.671
verified: no, type: precision_at_10
value: 8.619
verified: no, type: precision_at_100
value: 1.678
verified: no, type: precision_at_1000
value: 0.23500000000000001
verified: no, type: precision_at_3
value: 15.592
verified: no, type: precision_at_5
value: 12.43
verified: no, type: recall_at_1
value: 10.144
verified: no, type: recall_at_10
value: 33.46
verified: no, type: recall_at_100
value: 59.758
verified: no, type: recall_at_1000
value: 79.704
verified: no, type: recall_at_3
value: 19.604
verified: no, type: recall_at_5
value: 25.367
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 8.654
verified: no, type: map_at_10
value: 18.506
verified: no, type: map_at_100
value: 26.412999999999997
verified: no, type: map_at_1000
value: 28.13
verified: no, type: map_at_3
value: 13.379
verified: no, type: map_at_5
value: 15.529000000000002
verified: no, type: mrr_at_1
value: 66
verified: no, type: mrr_at_10
value: 74.13
verified: no, type: mrr_at_100
value: 74.48700000000001
verified: no, type: mrr_at_1000
value: 74.49799999999999
verified: no, type: mrr_at_3
value: 72.75
verified: no, type: mrr_at_5
value: 73.762
verified: no, type: ndcg_at_1
value: 54.50000000000001
verified: no, type: ndcg_at_10
value: 40.236
verified: no, type: ndcg_at_100
value: 44.690999999999995
verified: no, type: ndcg_at_1000
value: 52.195
verified: no, type: ndcg_at_3
value: 45.632
verified: no, type: ndcg_at_5
value: 42.952
verified: no, type: precision_at_1
value: 66
verified: no, type: precision_at_10
value: 31.724999999999998
verified: no, type: precision_at_100
value: 10.299999999999999
verified: no, type: precision_at_1000
value: 2.194
verified: no, type: precision_at_3
value: 48.75
verified: no, type: precision_at_5
value: 41.6
verified: no, type: recall_at_1
value: 8.654
verified: no, type: recall_at_10
value: 23.74
verified: no, type: recall_at_100
value: 50.346999999999994
verified: no, type: recall_at_1000
value: 74.376
verified: no, type: recall_at_3
value: 14.636
verified: no, type: recall_at_5
value: 18.009
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 53.245
verified: no, type: f1
value: 48.74520523753552
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 51.729
verified: no, type: map_at_10
value: 63.904
verified: no, type: map_at_100
value: 64.363
verified: no, type: map_at_1000
value: 64.38199999999999
verified: no, type: map_at_3
value: 61.393
verified: no, type: map_at_5
value: 63.02100000000001
verified: no, type: mrr_at_1
value: 55.686
verified: no, type: mrr_at_10
value: 67.804
verified: no, type: mrr_at_100
value: 68.15299999999999
verified: no, type: mrr_at_1000
value: 68.161
verified: no, type: mrr_at_3
value: 65.494
verified: no, type: mrr_at_5
value: 67.01599999999999
verified: no, type: ndcg_at_1
value: 55.686
verified: no, type: ndcg_at_10
value: 70.025
verified: no, type: ndcg_at_100
value: 72.011
verified: no, type: ndcg_at_1000
value: 72.443
verified: no, type: ndcg_at_3
value: 65.32900000000001
verified: no, type: ndcg_at_5
value: 68.05600000000001
verified: no, type: precision_at_1
value: 55.686
verified: no, type: precision_at_10
value: 9.358
verified: no, type: precision_at_100
value: 1.05
verified: no, type: precision_at_1000
value: 0.11
verified: no, type: precision_at_3
value: 26.318
verified: no, type: precision_at_5
value: 17.321
verified: no, type: recall_at_1
value: 51.729
verified: no, type: recall_at_10
value: 85.04
verified: no, type: recall_at_100
value: 93.777
verified: no, type: recall_at_1000
value: 96.824
verified: no, type: recall_at_3
value: 72.521
verified: no, type: recall_at_5
value: 79.148
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.765
verified: no, type: map_at_10
value: 39.114
verified: no, type: map_at_100
value: 40.987
verified: no, type: map_at_1000
value: 41.155
verified: no, type: map_at_3
value: 34.028000000000006
verified: no, type: map_at_5
value: 36.925000000000004
verified: no, type: mrr_at_1
value: 46.451
verified: no, type: mrr_at_10
value: 54.711
verified: no, type: mrr_at_100
value: 55.509
verified: no, type: mrr_at_1000
value: 55.535000000000004
verified: no, type: mrr_at_3
value: 52.649
verified: no, type: mrr_at_5
value: 53.729000000000006
verified: no, type: ndcg_at_1
value: 46.451
verified: no, type: ndcg_at_10
value: 46.955999999999996
verified: no, type: ndcg_at_100
value: 53.686
verified: no, type: ndcg_at_1000
value: 56.230000000000004
verified: no, type: ndcg_at_3
value: 43.374
verified: no, type: ndcg_at_5
value: 44.372
verified: no, type: precision_at_1
value: 46.451
verified: no, type: precision_at_10
value: 13.256
verified: no, type: precision_at_100
value: 2.019
verified: no, type: precision_at_1000
value: 0.247
verified: no, type: precision_at_3
value: 29.115000000000002
verified: no, type: precision_at_5
value: 21.389
verified: no, type: recall_at_1
value: 23.765
verified: no, type: recall_at_10
value: 53.452999999999996
verified: no, type: recall_at_100
value: 78.828
verified: no, type: recall_at_1000
value: 93.938
verified: no, type: recall_at_3
value: 39.023
verified: no, type: recall_at_5
value: 45.18
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.918000000000003
verified: no, type: map_at_10
value: 46.741
verified: no, type: map_at_100
value: 47.762
verified: no, type: map_at_1000
value: 47.849000000000004
verified: no, type: map_at_3
value: 43.578
verified: no, type: map_at_5
value: 45.395
verified: no, type: mrr_at_1
value: 63.834999999999994
verified: no, type: mrr_at_10
value: 71.312
verified: no, type: mrr_at_100
value: 71.695
verified: no, type: mrr_at_1000
value: 71.714
verified: no, type: mrr_at_3
value: 69.82000000000001
verified: no, type: mrr_at_5
value: 70.726
verified: no, type: ndcg_at_1
value: 63.834999999999994
verified: no, type: ndcg_at_10
value: 55.879999999999995
verified: no, type: ndcg_at_100
value: 59.723000000000006
verified: no, type: ndcg_at_1000
value: 61.49400000000001
verified: no, type: ndcg_at_3
value: 50.964
verified: no, type: ndcg_at_5
value: 53.47
verified: no, type: precision_at_1
value: 63.834999999999994
verified: no, type: precision_at_10
value: 11.845
verified: no, type: precision_at_100
value: 1.4869999999999999
verified: no, type: precision_at_1000
value: 0.172
verified: no, type: precision_at_3
value: 32.158
verified: no, type: precision_at_5
value: 21.278
verified: no, type: recall_at_1
value: 31.918000000000003
verified: no, type: recall_at_10
value: 59.223000000000006
verified: no, type: recall_at_100
value: 74.328
verified: no, type: recall_at_1000
value: 86.05000000000001
verified: no, type: recall_at_3
value: 48.238
verified: no, type: recall_at_5
value: 53.193999999999996
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 79.7896
verified: no, type: ap
value: 73.65166029460288
verified: no, type: f1
value: 79.71794693711813
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 22.239
verified: no, type: map_at_10
value: 34.542
verified: no, type: map_at_100
value: 35.717999999999996
verified: no, type: map_at_1000
value: 35.764
verified: no, type: map_at_3
value: 30.432
verified: no, type: map_at_5
value: 32.81
verified: no, type: mrr_at_1
value: 22.908
verified: no, type: mrr_at_10
value: 35.127
verified: no, type: mrr_at_100
value: 36.238
verified: no, type: mrr_at_1000
value: 36.278
verified: no, type: mrr_at_3
value: 31.076999999999998
verified: no, type: mrr_at_5
value: 33.419
verified: no, type: ndcg_at_1
value: 22.908
verified: no, type: ndcg_at_10
value: 41.607
verified: no, type: ndcg_at_100
value: 47.28
verified: no, type: ndcg_at_1000
value: 48.414
verified: no, type: ndcg_at_3
value: 33.253
verified: no, type: ndcg_at_5
value: 37.486000000000004
verified: no, type: precision_at_1
value: 22.908
verified: no, type: precision_at_10
value: 6.645
verified: no, type: precision_at_100
value: 0.9490000000000001
verified: no, type: precision_at_1000
value: 0.105
verified: no, type: precision_at_3
value: 14.130999999999998
verified: no, type: precision_at_5
value: 10.616
verified: no, type: recall_at_1
value: 22.239
verified: no, type: recall_at_10
value: 63.42
verified: no, type: recall_at_100
value: 89.696
verified: no, type: recall_at_1000
value: 98.351
verified: no, type: recall_at_3
value: 40.77
verified: no, type: recall_at_5
value: 50.93
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 95.06839945280439
verified: no, type: f1
value: 94.74276398224072
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 72.25718194254446
verified: no, type: f1
value: 53.91164489161391
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: 71.47948890383323
verified: no, type: f1
value: 69.98520247230257
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: 76.46603900470748
verified: no, type: f1
value: 76.44111526065399
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: 33.19106070798198
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 30.78772205248094
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.811231631488507
verified: no, type: mrr
value: 32.98200485378021
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 6.9
verified: no, type: map_at_10
value: 13.703000000000001
verified: no, type: map_at_100
value: 17.251
verified: no, type: map_at_1000
value: 18.795
verified: no, type: map_at_3
value: 10.366999999999999
verified: no, type: map_at_5
value: 11.675
verified: no, type: mrr_at_1
value: 47.059
verified: no, type: mrr_at_10
value: 55.816
verified: no, type: mrr_at_100
value: 56.434
verified: no, type: mrr_at_1000
value: 56.467
verified: no, type: mrr_at_3
value: 53.973000000000006
verified: no, type: mrr_at_5
value: 55.257999999999996
verified: no, type: ndcg_at_1
value: 44.737
verified: no, type: ndcg_at_10
value: 35.997
verified: no, type: ndcg_at_100
value: 33.487
verified: no, type: ndcg_at_1000
value: 41.897
verified: no, type: ndcg_at_3
value: 41.18
verified: no, type: ndcg_at_5
value: 38.721
verified: no, type: precision_at_1
value: 46.129999999999995
verified: no, type: precision_at_10
value: 26.533
verified: no, type: precision_at_100
value: 8.706
verified: no, type: precision_at_1000
value: 2.16
verified: no, type: precision_at_3
value: 38.493
verified: no, type: precision_at_5
value: 33.189
verified: no, type: recall_at_1
value: 6.9
verified: no, type: recall_at_10
value: 17.488999999999997
verified: no, type: recall_at_100
value: 34.583000000000006
verified: no, type: recall_at_1000
value: 64.942
verified: no, type: recall_at_3
value: 11.494
verified: no, type: recall_at_5
value: 13.496
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 33.028999999999996
verified: no, type: map_at_10
value: 49.307
verified: no, type: map_at_100
value: 50.205
verified: no, type: map_at_1000
value: 50.23
verified: no, type: map_at_3
value: 44.782
verified: no, type: map_at_5
value: 47.599999999999994
verified: no, type: mrr_at_1
value: 37.108999999999995
verified: no, type: mrr_at_10
value: 51.742999999999995
verified: no, type: mrr_at_100
value: 52.405
verified: no, type: mrr_at_1000
value: 52.422000000000004
verified: no, type: mrr_at_3
value: 48.087999999999994
verified: no, type: mrr_at_5
value: 50.414
verified: no, type: ndcg_at_1
value: 37.08
verified: no, type: ndcg_at_10
value: 57.236
verified: no, type: ndcg_at_100
value: 60.931999999999995
verified: no, type: ndcg_at_1000
value: 61.522
verified: no, type: ndcg_at_3
value: 48.93
verified: no, type: ndcg_at_5
value: 53.561
verified: no, type: precision_at_1
value: 37.08
verified: no, type: precision_at_10
value: 9.386
verified: no, type: precision_at_100
value: 1.1480000000000001
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 22.258
verified: no, type: precision_at_5
value: 16.025
verified: no, type: recall_at_1
value: 33.028999999999996
verified: no, type: recall_at_10
value: 78.805
verified: no, type: recall_at_100
value: 94.643
verified: no, type: recall_at_1000
value: 99.039
verified: no, type: recall_at_3
value: 57.602
verified: no, type: recall_at_5
value: 68.253
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 71.122
verified: no, type: map_at_10
value: 85.237
verified: no, type: map_at_100
value: 85.872
verified: no, type: map_at_1000
value: 85.885
verified: no, type: map_at_3
value: 82.27499999999999
verified: no, type: map_at_5
value: 84.13199999999999
verified: no, type: mrr_at_1
value: 81.73
verified: no, type: mrr_at_10
value: 87.834
verified: no, type: mrr_at_100
value: 87.92
verified: no, type: mrr_at_1000
value: 87.921
verified: no, type: mrr_at_3
value: 86.878
verified: no, type: mrr_at_5
value: 87.512
verified: no, type: ndcg_at_1
value: 81.73
verified: no, type: ndcg_at_10
value: 88.85499999999999
verified: no, type: ndcg_at_100
value: 89.992
verified: no, type: ndcg_at_1000
value: 90.07
verified: no, type: ndcg_at_3
value: 85.997
verified: no, type: ndcg_at_5
value: 87.55199999999999
verified: no, type: precision_at_1
value: 81.73
verified: no, type: precision_at_10
value: 13.491
verified: no, type: precision_at_100
value: 1.536
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.623
verified: no, type: precision_at_5
value: 24.742
verified: no, type: recall_at_1
value: 71.122
verified: no, type: recall_at_10
value: 95.935
verified: no, type: recall_at_100
value: 99.657
verified: no, type: recall_at_1000
value: 99.996
verified: no, type: recall_at_3
value: 87.80799999999999
verified: no, type: recall_at_5
value: 92.161
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 63.490029238193756
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: 65.13153408508836
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.202999999999999
verified: no, type: map_at_10
value: 10.174
verified: no, type: map_at_100
value: 12.138
verified: no, type: map_at_1000
value: 12.418
verified: no, type: map_at_3
value: 7.379
verified: no, type: map_at_5
value: 8.727
verified: no, type: mrr_at_1
value: 20.7
verified: no, type: mrr_at_10
value: 30.389
verified: no, type: mrr_at_100
value: 31.566
verified: no, type: mrr_at_1000
value: 31.637999999999998
verified: no, type: mrr_at_3
value: 27.133000000000003
verified: no, type: mrr_at_5
value: 29.078
verified: no, type: ndcg_at_1
value: 20.7
verified: no, type: ndcg_at_10
value: 17.355999999999998
verified: no, type: ndcg_at_100
value: 25.151
verified: no, type: ndcg_at_1000
value: 30.37
verified: no, type: ndcg_at_3
value: 16.528000000000002
verified: no, type: ndcg_at_5
value: 14.396999999999998
verified: no, type: precision_at_1
value: 20.7
verified: no, type: precision_at_10
value: 8.98
verified: no, type: precision_at_100
value: 2.015
verified: no, type: precision_at_1000
value: 0.327
verified: no, type: precision_at_3
value: 15.367
verified: no, type: precision_at_5
value: 12.559999999999999
verified: no, type: recall_at_1
value: 4.202999999999999
verified: no, type: recall_at_10
value: 18.197
verified: no, type: recall_at_100
value: 40.903
verified: no, type: recall_at_1000
value: 66.427
verified: no, type: recall_at_3
value: 9.362
verified: no, type: recall_at_5
value: 12.747
verified: no, task: type: STS
dataset: type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics: type: cos_sim_spearman
value: 81.69890989765257
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_spearman
value: 75.31953790551489
verified: no, task: type: STS
dataset: type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_spearman
value: 87.44050861280759
verified: no, task: type: STS
dataset: type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_spearman
value: 81.86922869270393
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_spearman
value: 88.9399170304284
verified: no, task: type: STS
dataset: type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_spearman
value: 85.38015314088582
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_spearman
value: 90.53653527788835
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_spearman
value: 68.64526474250209
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_spearman
value: 86.56156983963042
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 79.48610254648003
verified: no, type: mrr
value: 94.02481505422682
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 48.983
verified: no, type: map_at_10
value: 59.077999999999996
verified: no, type: map_at_100
value: 59.536
verified: no, type: map_at_1000
value: 59.575
verified: no, type: map_at_3
value: 55.691
verified: no, type: map_at_5
value: 57.410000000000004
verified: no, type: mrr_at_1
value: 51.666999999999994
verified: no, type: mrr_at_10
value: 60.427
verified: no, type: mrr_at_100
value: 60.763
verified: no, type: mrr_at_1000
value: 60.79900000000001
verified: no, type: mrr_at_3
value: 57.556
verified: no, type: mrr_at_5
value: 59.089000000000006
verified: no, type: ndcg_at_1
value: 51.666999999999994
verified: no, type: ndcg_at_10
value: 64.559
verified: no, type: ndcg_at_100
value: 66.58
verified: no, type: ndcg_at_1000
value: 67.64
verified: no, type: ndcg_at_3
value: 58.287
verified: no, type: ndcg_at_5
value: 61.001000000000005
verified: no, type: precision_at_1
value: 51.666999999999994
verified: no, type: precision_at_10
value: 9.067
verified: no, type: precision_at_100
value: 1.0170000000000001
verified: no, type: precision_at_1000
value: 0.11100000000000002
verified: no, type: precision_at_3
value: 23
verified: no, type: precision_at_5
value: 15.6
verified: no, type: recall_at_1
value: 48.983
verified: no, type: recall_at_10
value: 80.289
verified: no, type: recall_at_100
value: 89.43299999999999
verified: no, type: recall_at_1000
value: 97.667
verified: no, type: recall_at_3
value: 62.978
verified: no, type: recall_at_5
value: 69.872
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: 99.79009900990098
verified: no, type: cos_sim_ap
value: 94.94115052608419
verified: no, type: cos_sim_f1
value: 89.1260162601626
verified: no, type: cos_sim_precision
value: 90.599173553719
verified: no, type: cos_sim_recall
value: 87.7
verified: no, type: dot_accuracy
value: 99.79009900990098
verified: no, type: dot_ap
value: 94.94115052608419
verified: no, type: dot_f1
value: 89.1260162601626
verified: no, type: dot_precision
value: 90.599173553719
verified: no, type: dot_recall
value: 87.7
verified: no, type: euclidean_accuracy
value: 99.79009900990098
verified: no, type: euclidean_ap
value: 94.94115052608419
verified: no, type: euclidean_f1
value: 89.1260162601626
verified: no, type: euclidean_precision
value: 90.599173553719
verified: no, type: euclidean_recall
value: 87.7
verified: no, type: manhattan_accuracy
value: 99.7940594059406
verified: no, type: manhattan_ap
value: 94.95271414642431
verified: no, type: manhattan_f1
value: 89.24508790072387
verified: no, type: manhattan_precision
value: 92.3982869379015
verified: no, type: manhattan_recall
value: 86.3
verified: no, type: max_accuracy
value: 99.7940594059406
verified: no, type: max_ap
value: 94.95271414642431
verified: no, type: max_f1
value: 89.24508790072387
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 68.43866571935851
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 35.16579026551532
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 52.518952473513934
verified: no, type: mrr
value: 53.292457134368895
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 31.12529588316604
verified: no, type: cos_sim_spearman
value: 32.31662126895294
verified: no, type: dot_pearson
value: 31.125303796647056
verified: no, type: dot_spearman
value: 32.31662126895294
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.219
verified: no, type: map_at_10
value: 1.7469999999999999
verified: no, type: map_at_100
value: 10.177999999999999
verified: no, type: map_at_1000
value: 26.108999999999998
verified: no, type: map_at_3
value: 0.64
verified: no, type: map_at_5
value: 0.968
verified: no, type: mrr_at_1
value: 82
verified: no, type: mrr_at_10
value: 89.067
verified: no, type: mrr_at_100
value: 89.067
verified: no, type: mrr_at_1000
value: 89.067
verified: no, type: mrr_at_3
value: 88.333
verified: no, type: mrr_at_5
value: 88.73299999999999
verified: no, type: ndcg_at_1
value: 78
verified: no, type: ndcg_at_10
value: 71.398
verified: no, type: ndcg_at_100
value: 55.574999999999996
verified: no, type: ndcg_at_1000
value: 51.771
verified: no, type: ndcg_at_3
value: 77.765
verified: no, type: ndcg_at_5
value: 73.614
verified: no, type: precision_at_1
value: 82
verified: no, type: precision_at_10
value: 75.4
verified: no, type: precision_at_100
value: 58.040000000000006
verified: no, type: precision_at_1000
value: 23.516000000000002
verified: no, type: precision_at_3
value: 84
verified: no, type: precision_at_5
value: 78.4
verified: no, type: recall_at_1
value: 0.219
verified: no, type: recall_at_10
value: 1.958
verified: no, type: recall_at_100
value: 13.797999999999998
verified: no, type: recall_at_1000
value: 49.881
verified: no, type: recall_at_3
value: 0.672
verified: no, type: recall_at_5
value: 1.0370000000000001
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 1.8610000000000002
verified: no, type: map_at_10
value: 8.705
verified: no, type: map_at_100
value: 15.164
verified: no, type: map_at_1000
value: 16.78
verified: no, type: map_at_3
value: 4.346
verified: no, type: map_at_5
value: 6.151
verified: no, type: mrr_at_1
value: 22.448999999999998
verified: no, type: mrr_at_10
value: 41.556
verified: no, type: mrr_at_100
value: 42.484
verified: no, type: mrr_at_1000
value: 42.494
verified: no, type: mrr_at_3
value: 37.755
verified: no, type: mrr_at_5
value: 40.102
verified: no, type: ndcg_at_1
value: 21.429000000000002
verified: no, type: ndcg_at_10
value: 23.439
verified: no, type: ndcg_at_100
value: 36.948
verified: no, type: ndcg_at_1000
value: 48.408
verified: no, type: ndcg_at_3
value: 22.261
verified: no, type: ndcg_at_5
value: 23.085
verified: no, type: precision_at_1
value: 22.448999999999998
verified: no, type: precision_at_10
value: 21.633
verified: no, type: precision_at_100
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verified: no, type: precision_at_1000
value: 1.5939999999999999
verified: no, type: precision_at_3
value: 23.810000000000002
verified: no, type: precision_at_5
value: 24.490000000000002
verified: no, type: recall_at_1
value: 1.8610000000000002
verified: no, type: recall_at_10
value: 15.876000000000001
verified: no, type: recall_at_100
value: 50.300999999999995
verified: no, type: recall_at_1000
value: 86.098
verified: no, type: recall_at_3
value: 5.892
verified: no, type: recall_at_5
value: 9.443
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 70.3264
verified: no, type: ap
value: 13.249577616243794
verified: no, type: f1
value: 53.621518367695685
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 61.57611771363894
verified: no, type: f1
value: 61.79797478568639
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 53.38315344479284
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: 87.55438993860642
verified: no, type: cos_sim_ap
value: 77.98702600017738
verified: no, type: cos_sim_f1
value: 71.94971653931476
verified: no, type: cos_sim_precision
value: 67.50693802035153
verified: no, type: cos_sim_recall
value: 77.01846965699208
verified: no, type: dot_accuracy
value: 87.55438993860642
verified: no, type: dot_ap
value: 77.98702925907986
verified: no, type: dot_f1
value: 71.94971653931476
verified: no, type: dot_precision
value: 67.50693802035153
verified: no, type: dot_recall
value: 77.01846965699208
verified: no, type: euclidean_accuracy
value: 87.55438993860642
verified: no, type: euclidean_ap
value: 77.98702951957925
verified: no, type: euclidean_f1
value: 71.94971653931476
verified: no, type: euclidean_precision
value: 67.50693802035153
verified: no, type: euclidean_recall
value: 77.01846965699208
verified: no, type: manhattan_accuracy
value: 87.54246885617214
verified: no, type: manhattan_ap
value: 77.95531413902947
verified: no, type: manhattan_f1
value: 71.93605683836589
verified: no, type: manhattan_precision
value: 69.28152492668622
verified: no, type: manhattan_recall
value: 74.80211081794195
verified: no, type: max_accuracy
value: 87.55438993860642
verified: no, type: max_ap
value: 77.98702951957925
verified: no, type: max_f1
value: 71.94971653931476
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: 89.47296930182016
verified: no, type: cos_sim_ap
value: 86.92853616302108
verified: no, type: cos_sim_f1
value: 79.35138351681047
verified: no, type: cos_sim_precision
value: 76.74820143884892
verified: no, type: cos_sim_recall
value: 82.13735756082538
verified: no, type: dot_accuracy
value: 89.47296930182016
verified: no, type: dot_ap
value: 86.92854339601595
verified: no, type: dot_f1
value: 79.35138351681047
verified: no, type: dot_precision
value: 76.74820143884892
verified: no, type: dot_recall
value: 82.13735756082538
verified: no, type: euclidean_accuracy
value: 89.47296930182016
verified: no, type: euclidean_ap
value: 86.92854191061649
verified: no, type: euclidean_f1
value: 79.35138351681047
verified: no, type: euclidean_precision
value: 76.74820143884892
verified: no, type: euclidean_recall
value: 82.13735756082538
verified: no, type: manhattan_accuracy
value: 89.47685023479644
verified: no, type: manhattan_ap
value: 86.90063722679578
verified: no, type: manhattan_f1
value: 79.30753865502702
verified: no, type: manhattan_precision
value: 76.32066068631639
verified: no, type: manhattan_recall
value: 82.53772713273791
verified: no, type: max_accuracy
value: 89.47685023479644
verified: no, type: max_ap
value: 86.92854339601595
verified: no, type: max_f1
value: 79.35138351681047
verified: no
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Created: 2024-04-10 21:02:43