Model: Jenjamin3000/MNLP_M2_document_encoder
Author: Jenjamin3000
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, pytorch, onnx, safetensors, bert, feature-extraction, sentence-similarity, transformers, mteb, en, arxiv:2401.03462, arxiv:2312.15503, arxiv:2311.13534, arxiv:2310.07554, arxiv:2309.07597, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: tags: sentence-transformers, feature-extraction, sentence-similarity, transformers, mteb
model-index: name: bge-large-en-v1.5
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 75.8507462686567
verified: no, type: ap
value: 38.566457320228245
verified: no, type: f1
value: 69.69386648043475
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 92.416675
verified: no, type: ap
value: 89.1928861155922
verified: no, type: f1
value: 92.39477019574215
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 48.175999999999995
verified: no, type: f1
value: 47.80712792870253
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 40.184999999999995
verified: no, type: map_at_10
value: 55.654
verified: no, type: map_at_100
value: 56.25
verified: no, type: map_at_1000
value: 56.255
verified: no, type: map_at_3
value: 51.742999999999995
verified: no, type: map_at_5
value: 54.129000000000005
verified: no, type: mrr_at_1
value: 40.967
verified: no, type: mrr_at_10
value: 55.96
verified: no, type: mrr_at_100
value: 56.54900000000001
verified: no, type: mrr_at_1000
value: 56.554
verified: no, type: mrr_at_3
value: 51.980000000000004
verified: no, type: mrr_at_5
value: 54.44
verified: no, type: ndcg_at_1
value: 40.184999999999995
verified: no, type: ndcg_at_10
value: 63.542
verified: no, type: ndcg_at_100
value: 65.96499999999999
verified: no, type: ndcg_at_1000
value: 66.08699999999999
verified: no, type: ndcg_at_3
value: 55.582
verified: no, type: ndcg_at_5
value: 59.855000000000004
verified: no, type: precision_at_1
value: 40.184999999999995
verified: no, type: precision_at_10
value: 8.841000000000001
verified: no, type: precision_at_100
value: 0.987
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 22.238
verified: no, type: precision_at_5
value: 15.405
verified: no, type: recall_at_1
value: 40.184999999999995
verified: no, type: recall_at_10
value: 88.407
verified: no, type: recall_at_100
value: 98.72
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 66.714
verified: no, type: recall_at_5
value: 77.027
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: 48.567077926750066
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 43.19453389182364
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 64.46555939623092
verified: no, type: mrr
value: 77.82361605768807
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: 84.9554128814735
verified: no, type: cos_sim_spearman
value: 84.65373612172036
verified: no, type: euclidean_pearson
value: 83.2905059954138
verified: no, type: euclidean_spearman
value: 84.52240782811128
verified: no, type: manhattan_pearson
value: 82.99533802997436
verified: no, type: manhattan_spearman
value: 84.20673798475734
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 87.78896103896103
verified: no, type: f1
value: 87.77189310964883
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: 39.714538337650495
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: 36.90108349284447
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.795
verified: no, type: map_at_10
value: 43.669000000000004
verified: no, type: map_at_100
value: 45.151
verified: no, type: map_at_1000
value: 45.278
verified: no, type: map_at_3
value: 40.006
verified: no, type: map_at_5
value: 42.059999999999995
verified: no, type: mrr_at_1
value: 39.771
verified: no, type: mrr_at_10
value: 49.826
verified: no, type: mrr_at_100
value: 50.504000000000005
verified: no, type: mrr_at_1000
value: 50.549
verified: no, type: mrr_at_3
value: 47.115
verified: no, type: mrr_at_5
value: 48.832
verified: no, type: ndcg_at_1
value: 39.771
verified: no, type: ndcg_at_10
value: 50.217999999999996
verified: no, type: ndcg_at_100
value: 55.454
verified: no, type: ndcg_at_1000
value: 57.37
verified: no, type: ndcg_at_3
value: 44.885000000000005
verified: no, type: ndcg_at_5
value: 47.419
verified: no, type: precision_at_1
value: 39.771
verified: no, type: precision_at_10
value: 9.642000000000001
verified: no, type: precision_at_100
value: 1.538
verified: no, type: precision_at_1000
value: 0.198
verified: no, type: precision_at_3
value: 21.268
verified: no, type: precision_at_5
value: 15.536
verified: no, type: recall_at_1
value: 32.795
verified: no, type: recall_at_10
value: 62.580999999999996
verified: no, type: recall_at_100
value: 84.438
verified: no, type: recall_at_1000
value: 96.492
verified: no, type: recall_at_3
value: 47.071000000000005
verified: no, type: recall_at_5
value: 54.079
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.671
verified: no, type: map_at_10
value: 43.334
verified: no, type: map_at_100
value: 44.566
verified: no, type: map_at_1000
value: 44.702999999999996
verified: no, type: map_at_3
value: 40.343
verified: no, type: map_at_5
value: 41.983
verified: no, type: mrr_at_1
value: 40.764
verified: no, type: mrr_at_10
value: 49.382
verified: no, type: mrr_at_100
value: 49.988
verified: no, type: mrr_at_1000
value: 50.03300000000001
verified: no, type: mrr_at_3
value: 47.293
verified: no, type: mrr_at_5
value: 48.51
verified: no, type: ndcg_at_1
value: 40.764
verified: no, type: ndcg_at_10
value: 49.039
verified: no, type: ndcg_at_100
value: 53.259
verified: no, type: ndcg_at_1000
value: 55.253
verified: no, type: ndcg_at_3
value: 45.091
verified: no, type: ndcg_at_5
value: 46.839999999999996
verified: no, type: precision_at_1
value: 40.764
verified: no, type: precision_at_10
value: 9.191
verified: no, type: precision_at_100
value: 1.476
verified: no, type: precision_at_1000
value: 0.19499999999999998
verified: no, type: precision_at_3
value: 21.72
verified: no, type: precision_at_5
value: 15.299
verified: no, type: recall_at_1
value: 32.671
verified: no, type: recall_at_10
value: 58.816
verified: no, type: recall_at_100
value: 76.654
verified: no, type: recall_at_1000
value: 89.05999999999999
verified: no, type: recall_at_3
value: 46.743
verified: no, type: recall_at_5
value: 51.783
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 40.328
verified: no, type: map_at_10
value: 53.32599999999999
verified: no, type: map_at_100
value: 54.37499999999999
verified: no, type: map_at_1000
value: 54.429
verified: no, type: map_at_3
value: 49.902
verified: no, type: map_at_5
value: 52.002
verified: no, type: mrr_at_1
value: 46.332
verified: no, type: mrr_at_10
value: 56.858
verified: no, type: mrr_at_100
value: 57.522
verified: no, type: mrr_at_1000
value: 57.54899999999999
verified: no, type: mrr_at_3
value: 54.472
verified: no, type: mrr_at_5
value: 55.996
verified: no, type: ndcg_at_1
value: 46.332
verified: no, type: ndcg_at_10
value: 59.313
verified: no, type: ndcg_at_100
value: 63.266999999999996
verified: no, type: ndcg_at_1000
value: 64.36
verified: no, type: ndcg_at_3
value: 53.815000000000005
verified: no, type: ndcg_at_5
value: 56.814
verified: no, type: precision_at_1
value: 46.332
verified: no, type: precision_at_10
value: 9.53
verified: no, type: precision_at_100
value: 1.238
verified: no, type: precision_at_1000
value: 0.13699999999999998
verified: no, type: precision_at_3
value: 24.054000000000002
verified: no, type: precision_at_5
value: 16.589000000000002
verified: no, type: recall_at_1
value: 40.328
verified: no, type: recall_at_10
value: 73.421
verified: no, type: recall_at_100
value: 90.059
verified: no, type: recall_at_1000
value: 97.81
verified: no, type: recall_at_3
value: 59.009
verified: no, type: recall_at_5
value: 66.352
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.424
verified: no, type: map_at_10
value: 36.332
verified: no, type: map_at_100
value: 37.347
verified: no, type: map_at_1000
value: 37.422
verified: no, type: map_at_3
value: 33.743
verified: no, type: map_at_5
value: 35.176
verified: no, type: mrr_at_1
value: 29.153000000000002
verified: no, type: mrr_at_10
value: 38.233
verified: no, type: mrr_at_100
value: 39.109
verified: no, type: mrr_at_1000
value: 39.164
verified: no, type: mrr_at_3
value: 35.876000000000005
verified: no, type: mrr_at_5
value: 37.169000000000004
verified: no, type: ndcg_at_1
value: 29.153000000000002
verified: no, type: ndcg_at_10
value: 41.439
verified: no, type: ndcg_at_100
value: 46.42
verified: no, type: ndcg_at_1000
value: 48.242000000000004
verified: no, type: ndcg_at_3
value: 36.362
verified: no, type: ndcg_at_5
value: 38.743
verified: no, type: precision_at_1
value: 29.153000000000002
verified: no, type: precision_at_10
value: 6.315999999999999
verified: no, type: precision_at_100
value: 0.927
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 15.443000000000001
verified: no, type: precision_at_5
value: 10.644
verified: no, type: recall_at_1
value: 27.424
verified: no, type: recall_at_10
value: 55.364000000000004
verified: no, type: recall_at_100
value: 78.211
verified: no, type: recall_at_1000
value: 91.74600000000001
verified: no, type: recall_at_3
value: 41.379
verified: no, type: recall_at_5
value: 47.14
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 19.601
verified: no, type: map_at_10
value: 27.826
verified: no, type: map_at_100
value: 29.017
verified: no, type: map_at_1000
value: 29.137
verified: no, type: map_at_3
value: 25.125999999999998
verified: no, type: map_at_5
value: 26.765
verified: no, type: mrr_at_1
value: 24.005000000000003
verified: no, type: mrr_at_10
value: 32.716
verified: no, type: mrr_at_100
value: 33.631
verified: no, type: mrr_at_1000
value: 33.694
verified: no, type: mrr_at_3
value: 29.934
verified: no, type: mrr_at_5
value: 31.630999999999997
verified: no, type: ndcg_at_1
value: 24.005000000000003
verified: no, type: ndcg_at_10
value: 33.158
verified: no, type: ndcg_at_100
value: 38.739000000000004
verified: no, type: ndcg_at_1000
value: 41.495
verified: no, type: ndcg_at_3
value: 28.185
verified: no, type: ndcg_at_5
value: 30.796
verified: no, type: precision_at_1
value: 24.005000000000003
verified: no, type: precision_at_10
value: 5.908
verified: no, type: precision_at_100
value: 1.005
verified: no, type: precision_at_1000
value: 0.13899999999999998
verified: no, type: precision_at_3
value: 13.391
verified: no, type: precision_at_5
value: 9.876
verified: no, type: recall_at_1
value: 19.601
verified: no, type: recall_at_10
value: 44.746
verified: no, type: recall_at_100
value: 68.82300000000001
verified: no, type: recall_at_1000
value: 88.215
verified: no, type: recall_at_3
value: 31.239
verified: no, type: recall_at_5
value: 37.695
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.130000000000003
verified: no, type: map_at_10
value: 40.96
verified: no, type: map_at_100
value: 42.282
verified: no, type: map_at_1000
value: 42.392
verified: no, type: map_at_3
value: 37.889
verified: no, type: map_at_5
value: 39.661
verified: no, type: mrr_at_1
value: 36.958999999999996
verified: no, type: mrr_at_10
value: 46.835
verified: no, type: mrr_at_100
value: 47.644
verified: no, type: mrr_at_1000
value: 47.688
verified: no, type: mrr_at_3
value: 44.562000000000005
verified: no, type: mrr_at_5
value: 45.938
verified: no, type: ndcg_at_1
value: 36.958999999999996
verified: no, type: ndcg_at_10
value: 47.06
verified: no, type: ndcg_at_100
value: 52.345
verified: no, type: ndcg_at_1000
value: 54.35
verified: no, type: ndcg_at_3
value: 42.301
verified: no, type: ndcg_at_5
value: 44.635999999999996
verified: no, type: precision_at_1
value: 36.958999999999996
verified: no, type: precision_at_10
value: 8.479000000000001
verified: no, type: precision_at_100
value: 1.284
verified: no, type: precision_at_1000
value: 0.163
verified: no, type: precision_at_3
value: 20.244
verified: no, type: precision_at_5
value: 14.224999999999998
verified: no, type: recall_at_1
value: 30.130000000000003
verified: no, type: recall_at_10
value: 59.27
verified: no, type: recall_at_100
value: 81.195
verified: no, type: recall_at_1000
value: 94.21199999999999
verified: no, type: recall_at_3
value: 45.885
verified: no, type: recall_at_5
value: 52.016
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.169999999999998
verified: no, type: map_at_10
value: 36.451
verified: no, type: map_at_100
value: 37.791000000000004
verified: no, type: map_at_1000
value: 37.897
verified: no, type: map_at_3
value: 33.109
verified: no, type: map_at_5
value: 34.937000000000005
verified: no, type: mrr_at_1
value: 32.877
verified: no, type: mrr_at_10
value: 42.368
verified: no, type: mrr_at_100
value: 43.201
verified: no, type: mrr_at_1000
value: 43.259
verified: no, type: mrr_at_3
value: 39.763999999999996
verified: no, type: mrr_at_5
value: 41.260000000000005
verified: no, type: ndcg_at_1
value: 32.877
verified: no, type: ndcg_at_10
value: 42.659000000000006
verified: no, type: ndcg_at_100
value: 48.161
verified: no, type: ndcg_at_1000
value: 50.345
verified: no, type: ndcg_at_3
value: 37.302
verified: no, type: ndcg_at_5
value: 39.722
verified: no, type: precision_at_1
value: 32.877
verified: no, type: precision_at_10
value: 7.9
verified: no, type: precision_at_100
value: 1.236
verified: no, type: precision_at_1000
value: 0.158
verified: no, type: precision_at_3
value: 17.846
verified: no, type: precision_at_5
value: 12.9
verified: no, type: recall_at_1
value: 26.169999999999998
verified: no, type: recall_at_10
value: 55.35
verified: no, type: recall_at_100
value: 78.755
verified: no, type: recall_at_1000
value: 93.518
verified: no, type: recall_at_3
value: 40.176
verified: no, type: recall_at_5
value: 46.589000000000006
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.15516666666667
verified: no, type: map_at_10
value: 36.65741666666667
verified: no, type: map_at_100
value: 37.84991666666666
verified: no, type: map_at_1000
value: 37.96316666666667
verified: no, type: map_at_3
value: 33.74974999999999
verified: no, type: map_at_5
value: 35.3765
verified: no, type: mrr_at_1
value: 32.08233333333334
verified: no, type: mrr_at_10
value: 41.033833333333334
verified: no, type: mrr_at_100
value: 41.84524999999999
verified: no, type: mrr_at_1000
value: 41.89983333333333
verified: no, type: mrr_at_3
value: 38.62008333333333
verified: no, type: mrr_at_5
value: 40.03441666666666
verified: no, type: ndcg_at_1
value: 32.08233333333334
verified: no, type: ndcg_at_10
value: 42.229
verified: no, type: ndcg_at_100
value: 47.26716666666667
verified: no, type: ndcg_at_1000
value: 49.43466666666667
verified: no, type: ndcg_at_3
value: 37.36408333333333
verified: no, type: ndcg_at_5
value: 39.6715
verified: no, type: precision_at_1
value: 32.08233333333334
verified: no, type: precision_at_10
value: 7.382583333333334
verified: no, type: precision_at_100
value: 1.16625
verified: no, type: precision_at_1000
value: 0.15408333333333332
verified: no, type: precision_at_3
value: 17.218
verified: no, type: precision_at_5
value: 12.21875
verified: no, type: recall_at_1
value: 27.15516666666667
verified: no, type: recall_at_10
value: 54.36683333333333
verified: no, type: recall_at_100
value: 76.37183333333333
verified: no, type: recall_at_1000
value: 91.26183333333333
verified: no, type: recall_at_3
value: 40.769916666666674
verified: no, type: recall_at_5
value: 46.702333333333335
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.749
verified: no, type: map_at_10
value: 33.001999999999995
verified: no, type: map_at_100
value: 33.891
verified: no, type: map_at_1000
value: 33.993
verified: no, type: map_at_3
value: 30.703999999999997
verified: no, type: map_at_5
value: 31.959
verified: no, type: mrr_at_1
value: 28.834
verified: no, type: mrr_at_10
value: 35.955
verified: no, type: mrr_at_100
value: 36.709
verified: no, type: mrr_at_1000
value: 36.779
verified: no, type: mrr_at_3
value: 33.947
verified: no, type: mrr_at_5
value: 35.089
verified: no, type: ndcg_at_1
value: 28.834
verified: no, type: ndcg_at_10
value: 37.329
verified: no, type: ndcg_at_100
value: 41.79
verified: no, type: ndcg_at_1000
value: 44.169000000000004
verified: no, type: ndcg_at_3
value: 33.184999999999995
verified: no, type: ndcg_at_5
value: 35.107
verified: no, type: precision_at_1
value: 28.834
verified: no, type: precision_at_10
value: 5.7669999999999995
verified: no, type: precision_at_100
value: 0.876
verified: no, type: precision_at_1000
value: 0.11399999999999999
verified: no, type: precision_at_3
value: 14.213000000000001
verified: no, type: precision_at_5
value: 9.754999999999999
verified: no, type: recall_at_1
value: 25.749
verified: no, type: recall_at_10
value: 47.791
verified: no, type: recall_at_100
value: 68.255
verified: no, type: recall_at_1000
value: 85.749
verified: no, type: recall_at_3
value: 36.199
verified: no, type: recall_at_5
value: 41.071999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.777
verified: no, type: map_at_10
value: 25.201
verified: no, type: map_at_100
value: 26.423999999999996
verified: no, type: map_at_1000
value: 26.544
verified: no, type: map_at_3
value: 22.869
verified: no, type: map_at_5
value: 24.023
verified: no, type: mrr_at_1
value: 21.473
verified: no, type: mrr_at_10
value: 29.12
verified: no, type: mrr_at_100
value: 30.144
verified: no, type: mrr_at_1000
value: 30.215999999999998
verified: no, type: mrr_at_3
value: 26.933
verified: no, type: mrr_at_5
value: 28.051
verified: no, type: ndcg_at_1
value: 21.473
verified: no, type: ndcg_at_10
value: 30.003
verified: no, type: ndcg_at_100
value: 35.766
verified: no, type: ndcg_at_1000
value: 38.501000000000005
verified: no, type: ndcg_at_3
value: 25.773000000000003
verified: no, type: ndcg_at_5
value: 27.462999999999997
verified: no, type: precision_at_1
value: 21.473
verified: no, type: precision_at_10
value: 5.482
verified: no, type: precision_at_100
value: 0.975
verified: no, type: precision_at_1000
value: 0.13799999999999998
verified: no, type: precision_at_3
value: 12.205
verified: no, type: precision_at_5
value: 8.692
verified: no, type: recall_at_1
value: 17.777
verified: no, type: recall_at_10
value: 40.582
verified: no, type: recall_at_100
value: 66.305
verified: no, type: recall_at_1000
value: 85.636
verified: no, type: recall_at_3
value: 28.687
verified: no, type: recall_at_5
value: 33.089
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.677
verified: no, type: map_at_10
value: 36.309000000000005
verified: no, type: map_at_100
value: 37.403999999999996
verified: no, type: map_at_1000
value: 37.496
verified: no, type: map_at_3
value: 33.382
verified: no, type: map_at_5
value: 34.98
verified: no, type: mrr_at_1
value: 31.343
verified: no, type: mrr_at_10
value: 40.549
verified: no, type: mrr_at_100
value: 41.342
verified: no, type: mrr_at_1000
value: 41.397
verified: no, type: mrr_at_3
value: 38.029
verified: no, type: mrr_at_5
value: 39.451
verified: no, type: ndcg_at_1
value: 31.343
verified: no, type: ndcg_at_10
value: 42.1
verified: no, type: ndcg_at_100
value: 47.089999999999996
verified: no, type: ndcg_at_1000
value: 49.222
verified: no, type: ndcg_at_3
value: 36.836999999999996
verified: no, type: ndcg_at_5
value: 39.21
verified: no, type: precision_at_1
value: 31.343
verified: no, type: precision_at_10
value: 7.164
verified: no, type: precision_at_100
value: 1.0959999999999999
verified: no, type: precision_at_1000
value: 0.13899999999999998
verified: no, type: precision_at_3
value: 16.915
verified: no, type: precision_at_5
value: 11.940000000000001
verified: no, type: recall_at_1
value: 26.677
verified: no, type: recall_at_10
value: 55.54599999999999
verified: no, type: recall_at_100
value: 77.094
verified: no, type: recall_at_1000
value: 92.01
verified: no, type: recall_at_3
value: 41.191
verified: no, type: recall_at_5
value: 47.006
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 24.501
verified: no, type: map_at_10
value: 33.102
verified: no, type: map_at_100
value: 34.676
verified: no, type: map_at_1000
value: 34.888000000000005
verified: no, type: map_at_3
value: 29.944
verified: no, type: map_at_5
value: 31.613999999999997
verified: no, type: mrr_at_1
value: 29.447000000000003
verified: no, type: mrr_at_10
value: 37.996
verified: no, type: mrr_at_100
value: 38.946
verified: no, type: mrr_at_1000
value: 38.995000000000005
verified: no, type: mrr_at_3
value: 35.079
verified: no, type: mrr_at_5
value: 36.69
verified: no, type: ndcg_at_1
value: 29.447000000000003
verified: no, type: ndcg_at_10
value: 39.232
verified: no, type: ndcg_at_100
value: 45.247
verified: no, type: ndcg_at_1000
value: 47.613
verified: no, type: ndcg_at_3
value: 33.922999999999995
verified: no, type: ndcg_at_5
value: 36.284
verified: no, type: precision_at_1
value: 29.447000000000003
verified: no, type: precision_at_10
value: 7.648000000000001
verified: no, type: precision_at_100
value: 1.516
verified: no, type: precision_at_1000
value: 0.23900000000000002
verified: no, type: precision_at_3
value: 16.008
verified: no, type: precision_at_5
value: 11.779
verified: no, type: recall_at_1
value: 24.501
verified: no, type: recall_at_10
value: 51.18899999999999
verified: no, type: recall_at_100
value: 78.437
verified: no, type: recall_at_1000
value: 92.842
verified: no, type: recall_at_3
value: 35.808
verified: no, type: recall_at_5
value: 42.197
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: 30.377
verified: no, type: map_at_100
value: 31.275
verified: no, type: map_at_1000
value: 31.379
verified: no, type: map_at_3
value: 27.98
verified: no, type: map_at_5
value: 29.358
verified: no, type: mrr_at_1
value: 24.03
verified: no, type: mrr_at_10
value: 32.568000000000005
verified: no, type: mrr_at_100
value: 33.403
verified: no, type: mrr_at_1000
value: 33.475
verified: no, type: mrr_at_3
value: 30.436999999999998
verified: no, type: mrr_at_5
value: 31.796000000000003
verified: no, type: ndcg_at_1
value: 24.03
verified: no, type: ndcg_at_10
value: 35.198
verified: no, type: ndcg_at_100
value: 39.668
verified: no, type: ndcg_at_1000
value: 42.296
verified: no, type: ndcg_at_3
value: 30.709999999999997
verified: no, type: ndcg_at_5
value: 33.024
verified: no, type: precision_at_1
value: 24.03
verified: no, type: precision_at_10
value: 5.564
verified: no, type: precision_at_100
value: 0.828
verified: no, type: precision_at_1000
value: 0.117
verified: no, type: precision_at_3
value: 13.309000000000001
verified: no, type: precision_at_5
value: 9.39
verified: no, type: recall_at_1
value: 22.039
verified: no, type: recall_at_10
value: 47.746
verified: no, type: recall_at_100
value: 68.23599999999999
verified: no, type: recall_at_1000
value: 87.852
verified: no, type: recall_at_3
value: 35.852000000000004
verified: no, type: recall_at_5
value: 41.410000000000004
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 15.692999999999998
verified: no, type: map_at_10
value: 26.903
verified: no, type: map_at_100
value: 28.987000000000002
verified: no, type: map_at_1000
value: 29.176999999999996
verified: no, type: map_at_3
value: 22.137
verified: no, type: map_at_5
value: 24.758
verified: no, type: mrr_at_1
value: 35.57
verified: no, type: mrr_at_10
value: 47.821999999999996
verified: no, type: mrr_at_100
value: 48.608000000000004
verified: no, type: mrr_at_1000
value: 48.638999999999996
verified: no, type: mrr_at_3
value: 44.452000000000005
verified: no, type: mrr_at_5
value: 46.546
verified: no, type: ndcg_at_1
value: 35.57
verified: no, type: ndcg_at_10
value: 36.567
verified: no, type: ndcg_at_100
value: 44.085
verified: no, type: ndcg_at_1000
value: 47.24
verified: no, type: ndcg_at_3
value: 29.964000000000002
verified: no, type: ndcg_at_5
value: 32.511
verified: no, type: precision_at_1
value: 35.57
verified: no, type: precision_at_10
value: 11.485
verified: no, type: precision_at_100
value: 1.9619999999999997
verified: no, type: precision_at_1000
value: 0.256
verified: no, type: precision_at_3
value: 22.237000000000002
verified: no, type: precision_at_5
value: 17.471999999999998
verified: no, type: recall_at_1
value: 15.692999999999998
verified: no, type: recall_at_10
value: 43.056
verified: no, type: recall_at_100
value: 68.628
verified: no, type: recall_at_1000
value: 86.075
verified: no, type: recall_at_3
value: 26.918999999999997
verified: no, type: recall_at_5
value: 34.14
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 9.53
verified: no, type: map_at_10
value: 20.951
verified: no, type: map_at_100
value: 30.136000000000003
verified: no, type: map_at_1000
value: 31.801000000000002
verified: no, type: map_at_3
value: 15.021
verified: no, type: map_at_5
value: 17.471999999999998
verified: no, type: mrr_at_1
value: 71
verified: no, type: mrr_at_10
value: 79.176
verified: no, type: mrr_at_100
value: 79.418
verified: no, type: mrr_at_1000
value: 79.426
verified: no, type: mrr_at_3
value: 78.125
verified: no, type: mrr_at_5
value: 78.61200000000001
verified: no, type: ndcg_at_1
value: 58.5
verified: no, type: ndcg_at_10
value: 44.106
verified: no, type: ndcg_at_100
value: 49.268
verified: no, type: ndcg_at_1000
value: 56.711999999999996
verified: no, type: ndcg_at_3
value: 48.934
verified: no, type: ndcg_at_5
value: 45.826
verified: no, type: precision_at_1
value: 71
verified: no, type: precision_at_10
value: 35
verified: no, type: precision_at_100
value: 11.360000000000001
verified: no, type: precision_at_1000
value: 2.046
verified: no, type: precision_at_3
value: 52.833
verified: no, type: precision_at_5
value: 44.15
verified: no, type: recall_at_1
value: 9.53
verified: no, type: recall_at_10
value: 26.811
verified: no, type: recall_at_100
value: 55.916999999999994
verified: no, type: recall_at_1000
value: 79.973
verified: no, type: recall_at_3
value: 16.413
verified: no, type: recall_at_5
value: 19.980999999999998
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 51.519999999999996
verified: no, type: f1
value: 46.36601294761231
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 74.413
verified: no, type: map_at_10
value: 83.414
verified: no, type: map_at_100
value: 83.621
verified: no, type: map_at_1000
value: 83.635
verified: no, type: map_at_3
value: 82.337
verified: no, type: map_at_5
value: 83.039
verified: no, type: mrr_at_1
value: 80.19800000000001
verified: no, type: mrr_at_10
value: 87.715
verified: no, type: mrr_at_100
value: 87.778
verified: no, type: mrr_at_1000
value: 87.779
verified: no, type: mrr_at_3
value: 87.106
verified: no, type: mrr_at_5
value: 87.555
verified: no, type: ndcg_at_1
value: 80.19800000000001
verified: no, type: ndcg_at_10
value: 87.182
verified: no, type: ndcg_at_100
value: 87.90299999999999
verified: no, type: ndcg_at_1000
value: 88.143
verified: no, type: ndcg_at_3
value: 85.60600000000001
verified: no, type: ndcg_at_5
value: 86.541
verified: no, type: precision_at_1
value: 80.19800000000001
verified: no, type: precision_at_10
value: 10.531
verified: no, type: precision_at_100
value: 1.113
verified: no, type: precision_at_1000
value: 0.11499999999999999
verified: no, type: precision_at_3
value: 32.933
verified: no, type: precision_at_5
value: 20.429
verified: no, type: recall_at_1
value: 74.413
verified: no, type: recall_at_10
value: 94.363
verified: no, type: recall_at_100
value: 97.165
verified: no, type: recall_at_1000
value: 98.668
verified: no, type: recall_at_3
value: 90.108
verified: no, type: recall_at_5
value: 92.52
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.701
verified: no, type: map_at_10
value: 37.122
verified: no, type: map_at_100
value: 39.178000000000004
verified: no, type: map_at_1000
value: 39.326
verified: no, type: map_at_3
value: 32.971000000000004
verified: no, type: map_at_5
value: 35.332
verified: no, type: mrr_at_1
value: 44.753
verified: no, type: mrr_at_10
value: 53.452
verified: no, type: mrr_at_100
value: 54.198
verified: no, type: mrr_at_1000
value: 54.225
verified: no, type: mrr_at_3
value: 50.952
verified: no, type: mrr_at_5
value: 52.464
verified: no, type: ndcg_at_1
value: 44.753
verified: no, type: ndcg_at_10
value: 45.021
verified: no, type: ndcg_at_100
value: 52.028
verified: no, type: ndcg_at_1000
value: 54.596000000000004
verified: no, type: ndcg_at_3
value: 41.622
verified: no, type: ndcg_at_5
value: 42.736000000000004
verified: no, type: precision_at_1
value: 44.753
verified: no, type: precision_at_10
value: 12.284
verified: no, type: precision_at_100
value: 1.955
verified: no, type: precision_at_1000
value: 0.243
verified: no, type: precision_at_3
value: 27.828999999999997
verified: no, type: precision_at_5
value: 20.061999999999998
verified: no, type: recall_at_1
value: 22.701
verified: no, type: recall_at_10
value: 51.432
verified: no, type: recall_at_100
value: 77.009
verified: no, type: recall_at_1000
value: 92.511
verified: no, type: recall_at_3
value: 37.919000000000004
verified: no, type: recall_at_5
value: 44.131
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 40.189
verified: no, type: map_at_10
value: 66.24600000000001
verified: no, type: map_at_100
value: 67.098
verified: no, type: map_at_1000
value: 67.149
verified: no, type: map_at_3
value: 62.684
verified: no, type: map_at_5
value: 64.974
verified: no, type: mrr_at_1
value: 80.378
verified: no, type: mrr_at_10
value: 86.127
verified: no, type: mrr_at_100
value: 86.29299999999999
verified: no, type: mrr_at_1000
value: 86.297
verified: no, type: mrr_at_3
value: 85.31400000000001
verified: no, type: mrr_at_5
value: 85.858
verified: no, type: ndcg_at_1
value: 80.378
verified: no, type: ndcg_at_10
value: 74.101
verified: no, type: ndcg_at_100
value: 76.993
verified: no, type: ndcg_at_1000
value: 77.948
verified: no, type: ndcg_at_3
value: 69.232
verified: no, type: ndcg_at_5
value: 72.04599999999999
verified: no, type: precision_at_1
value: 80.378
verified: no, type: precision_at_10
value: 15.595999999999998
verified: no, type: precision_at_100
value: 1.7840000000000003
verified: no, type: precision_at_1000
value: 0.191
verified: no, type: precision_at_3
value: 44.884
verified: no, type: precision_at_5
value: 29.145
verified: no, type: recall_at_1
value: 40.189
verified: no, type: recall_at_10
value: 77.981
verified: no, type: recall_at_100
value: 89.21
verified: no, type: recall_at_1000
value: 95.48299999999999
verified: no, type: recall_at_3
value: 67.326
verified: no, type: recall_at_5
value: 72.863
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 92.84599999999999
verified: no, type: ap
value: 89.4710787567357
verified: no, type: f1
value: 92.83752676932258
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 23.132
verified: no, type: map_at_10
value: 35.543
verified: no, type: map_at_100
value: 36.702
verified: no, type: map_at_1000
value: 36.748999999999995
verified: no, type: map_at_3
value: 31.737
verified: no, type: map_at_5
value: 33.927
verified: no, type: mrr_at_1
value: 23.782
verified: no, type: mrr_at_10
value: 36.204
verified: no, type: mrr_at_100
value: 37.29
verified: no, type: mrr_at_1000
value: 37.330999999999996
verified: no, type: mrr_at_3
value: 32.458999999999996
verified: no, type: mrr_at_5
value: 34.631
verified: no, type: ndcg_at_1
value: 23.782
verified: no, type: ndcg_at_10
value: 42.492999999999995
verified: no, type: ndcg_at_100
value: 47.985
verified: no, type: ndcg_at_1000
value: 49.141
verified: no, type: ndcg_at_3
value: 34.748000000000005
verified: no, type: ndcg_at_5
value: 38.651
verified: no, type: precision_at_1
value: 23.782
verified: no, type: precision_at_10
value: 6.665
verified: no, type: precision_at_100
value: 0.941
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 14.776
verified: no, type: precision_at_5
value: 10.84
verified: no, type: recall_at_1
value: 23.132
verified: no, type: recall_at_10
value: 63.794
verified: no, type: recall_at_100
value: 89.027
verified: no, type: recall_at_1000
value: 97.807
verified: no, type: recall_at_3
value: 42.765
verified: no, type: recall_at_5
value: 52.11
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 94.59188326493388
verified: no, type: f1
value: 94.3842594786827
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 79.49384404924761
verified: no, type: f1
value: 59.7580539534629
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: 77.56220578345663
verified: no, type: f1
value: 75.27228165561478
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: 80.53463349024884
verified: no, type: f1
value: 80.4893958236536
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: 32.56100273484962
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 31.470380028839607
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 32.06102792457849
verified: no, type: mrr
value: 33.30709199672238
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 6.776999999999999
verified: no, type: map_at_10
value: 14.924000000000001
verified: no, type: map_at_100
value: 18.955
verified: no, type: map_at_1000
value: 20.538999999999998
verified: no, type: map_at_3
value: 10.982
verified: no, type: map_at_5
value: 12.679000000000002
verified: no, type: mrr_at_1
value: 47.988
verified: no, type: mrr_at_10
value: 57.232000000000006
verified: no, type: mrr_at_100
value: 57.818999999999996
verified: no, type: mrr_at_1000
value: 57.847
verified: no, type: mrr_at_3
value: 54.901999999999994
verified: no, type: mrr_at_5
value: 56.481
verified: no, type: ndcg_at_1
value: 46.594
verified: no, type: ndcg_at_10
value: 38.129000000000005
verified: no, type: ndcg_at_100
value: 35.54
verified: no, type: ndcg_at_1000
value: 44.172
verified: no, type: ndcg_at_3
value: 43.025999999999996
verified: no, type: ndcg_at_5
value: 41.052
verified: no, type: precision_at_1
value: 47.988
verified: no, type: precision_at_10
value: 28.111000000000004
verified: no, type: precision_at_100
value: 8.929
verified: no, type: precision_at_1000
value: 2.185
verified: no, type: precision_at_3
value: 40.144000000000005
verified: no, type: precision_at_5
value: 35.232
verified: no, type: recall_at_1
value: 6.776999999999999
verified: no, type: recall_at_10
value: 19.289
verified: no, type: recall_at_100
value: 36.359
verified: no, type: recall_at_1000
value: 67.54
verified: no, type: recall_at_3
value: 11.869
verified: no, type: recall_at_5
value: 14.999
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.108000000000004
verified: no, type: map_at_10
value: 47.126000000000005
verified: no, type: map_at_100
value: 48.171
verified: no, type: map_at_1000
value: 48.199
verified: no, type: map_at_3
value: 42.734
verified: no, type: map_at_5
value: 45.362
verified: no, type: mrr_at_1
value: 34.936
verified: no, type: mrr_at_10
value: 49.571
verified: no, type: mrr_at_100
value: 50.345
verified: no, type: mrr_at_1000
value: 50.363
verified: no, type: mrr_at_3
value: 45.959
verified: no, type: mrr_at_5
value: 48.165
verified: no, type: ndcg_at_1
value: 34.936
verified: no, type: ndcg_at_10
value: 55.028999999999996
verified: no, type: ndcg_at_100
value: 59.244
verified: no, type: ndcg_at_1000
value: 59.861
verified: no, type: ndcg_at_3
value: 46.872
verified: no, type: ndcg_at_5
value: 51.217999999999996
verified: no, type: precision_at_1
value: 34.936
verified: no, type: precision_at_10
value: 9.099
verified: no, type: precision_at_100
value: 1.145
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 21.456
verified: no, type: precision_at_5
value: 15.411
verified: no, type: recall_at_1
value: 31.108000000000004
verified: no, type: recall_at_10
value: 76.53999999999999
verified: no, type: recall_at_100
value: 94.39
verified: no, type: recall_at_1000
value: 98.947
verified: no, type: recall_at_3
value: 55.572
verified: no, type: recall_at_5
value: 65.525
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 71.56400000000001
verified: no, type: map_at_10
value: 85.482
verified: no, type: map_at_100
value: 86.114
verified: no, type: map_at_1000
value: 86.13
verified: no, type: map_at_3
value: 82.607
verified: no, type: map_at_5
value: 84.405
verified: no, type: mrr_at_1
value: 82.42
verified: no, type: mrr_at_10
value: 88.304
verified: no, type: mrr_at_100
value: 88.399
verified: no, type: mrr_at_1000
value: 88.399
verified: no, type: mrr_at_3
value: 87.37
verified: no, type: mrr_at_5
value: 88.024
verified: no, type: ndcg_at_1
value: 82.45
verified: no, type: ndcg_at_10
value: 89.06500000000001
verified: no, type: ndcg_at_100
value: 90.232
verified: no, type: ndcg_at_1000
value: 90.305
verified: no, type: ndcg_at_3
value: 86.375
verified: no, type: ndcg_at_5
value: 87.85300000000001
verified: no, type: precision_at_1
value: 82.45
verified: no, type: precision_at_10
value: 13.486999999999998
verified: no, type: precision_at_100
value: 1.534
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.813
verified: no, type: precision_at_5
value: 24.773999999999997
verified: no, type: recall_at_1
value: 71.56400000000001
verified: no, type: recall_at_10
value: 95.812
verified: no, type: recall_at_100
value: 99.7
verified: no, type: recall_at_1000
value: 99.979
verified: no, type: recall_at_3
value: 87.966
verified: no, type: recall_at_5
value: 92.268
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 57.241876648614145
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: 64.66212576446223
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.308
verified: no, type: map_at_10
value: 13.803
verified: no, type: map_at_100
value: 16.176
verified: no, type: map_at_1000
value: 16.561
verified: no, type: map_at_3
value: 9.761000000000001
verified: no, type: map_at_5
value: 11.802
verified: no, type: mrr_at_1
value: 26.200000000000003
verified: no, type: mrr_at_10
value: 37.621
verified: no, type: mrr_at_100
value: 38.767
verified: no, type: mrr_at_1000
value: 38.815
verified: no, type: mrr_at_3
value: 34.117
verified: no, type: mrr_at_5
value: 36.107
verified: no, type: ndcg_at_1
value: 26.200000000000003
verified: no, type: ndcg_at_10
value: 22.64
verified: no, type: ndcg_at_100
value: 31.567
verified: no, type: ndcg_at_1000
value: 37.623
verified: no, type: ndcg_at_3
value: 21.435000000000002
verified: no, type: ndcg_at_5
value: 18.87
verified: no, type: precision_at_1
value: 26.200000000000003
verified: no, type: precision_at_10
value: 11.74
verified: no, type: precision_at_100
value: 2.465
verified: no, type: precision_at_1000
value: 0.391
verified: no, type: precision_at_3
value: 20.033
verified: no, type: precision_at_5
value: 16.64
verified: no, type: recall_at_1
value: 5.308
verified: no, type: recall_at_10
value: 23.794999999999998
verified: no, type: recall_at_100
value: 50.015
verified: no, type: recall_at_1000
value: 79.283
verified: no, type: recall_at_3
value: 12.178
verified: no, type: recall_at_5
value: 16.882
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: 84.93231134675553
verified: no, type: cos_sim_spearman
value: 81.68319292603205
verified: no, type: euclidean_pearson
value: 81.8396814380367
verified: no, type: euclidean_spearman
value: 81.24641903349945
verified: no, type: manhattan_pearson
value: 81.84698799204274
verified: no, type: manhattan_spearman
value: 81.24269997904105
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: 86.73241671587446
verified: no, type: cos_sim_spearman
value: 79.05091082971826
verified: no, type: euclidean_pearson
value: 83.91146869578044
verified: no, type: euclidean_spearman
value: 79.87978465370936
verified: no, type: manhattan_pearson
value: 83.90888338917678
verified: no, type: manhattan_spearman
value: 79.87482848584241
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: 85.14970731146177
verified: no, type: cos_sim_spearman
value: 86.37363490084627
verified: no, type: euclidean_pearson
value: 83.02154218530433
verified: no, type: euclidean_spearman
value: 83.80258761957367
verified: no, type: manhattan_pearson
value: 83.01664495119347
verified: no, type: manhattan_spearman
value: 83.77567458007952
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: 83.40474139886784
verified: no, type: cos_sim_spearman
value: 82.77768789165984
verified: no, type: euclidean_pearson
value: 80.7065877443695
verified: no, type: euclidean_spearman
value: 81.375940662505
verified: no, type: manhattan_pearson
value: 80.6507552270278
verified: no, type: manhattan_spearman
value: 81.32782179098741
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: 87.08585968722274
verified: no, type: cos_sim_spearman
value: 88.03110031451399
verified: no, type: euclidean_pearson
value: 85.74012019602384
verified: no, type: euclidean_spearman
value: 86.13592849438209
verified: no, type: manhattan_pearson
value: 85.74404842369206
verified: no, type: manhattan_spearman
value: 86.14492318960154
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: 84.95069052788875
verified: no, type: cos_sim_spearman
value: 86.4867991595147
verified: no, type: euclidean_pearson
value: 84.31013325754635
verified: no, type: euclidean_spearman
value: 85.01529258006482
verified: no, type: manhattan_pearson
value: 84.26995570085374
verified: no, type: manhattan_spearman
value: 84.96982104986162
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: 87.54617647971897
verified: no, type: cos_sim_spearman
value: 87.49834181751034
verified: no, type: euclidean_pearson
value: 86.01015322577122
verified: no, type: euclidean_spearman
value: 84.63362652063199
verified: no, type: manhattan_pearson
value: 86.13807574475706
verified: no, type: manhattan_spearman
value: 84.7772370721132
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: 67.20047755786615
verified: no, type: cos_sim_spearman
value: 67.05324077987636
verified: no, type: euclidean_pearson
value: 66.91930642976601
verified: no, type: euclidean_spearman
value: 65.21491856099105
verified: no, type: manhattan_pearson
value: 66.78756851976624
verified: no, type: manhattan_spearman
value: 65.12356257740728
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: 86.19852871539686
verified: no, type: cos_sim_spearman
value: 87.5161895296395
verified: no, type: euclidean_pearson
value: 84.59848645207485
verified: no, type: euclidean_spearman
value: 85.26427328757919
verified: no, type: manhattan_pearson
value: 84.59747366996524
verified: no, type: manhattan_spearman
value: 85.24045855146915
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 87.63320317811032
verified: no, type: mrr
value: 96.26242947321379
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 60.928000000000004
verified: no, type: map_at_10
value: 70.112
verified: no, type: map_at_100
value: 70.59299999999999
verified: no, type: map_at_1000
value: 70.623
verified: no, type: map_at_3
value: 66.846
verified: no, type: map_at_5
value: 68.447
verified: no, type: mrr_at_1
value: 64
verified: no, type: mrr_at_10
value: 71.212
verified: no, type: mrr_at_100
value: 71.616
verified: no, type: mrr_at_1000
value: 71.64500000000001
verified: no, type: mrr_at_3
value: 68.77799999999999
verified: no, type: mrr_at_5
value: 70.094
verified: no, type: ndcg_at_1
value: 64
verified: no, type: ndcg_at_10
value: 74.607
verified: no, type: ndcg_at_100
value: 76.416
verified: no, type: ndcg_at_1000
value: 77.102
verified: no, type: ndcg_at_3
value: 69.126
verified: no, type: ndcg_at_5
value: 71.41300000000001
verified: no, type: precision_at_1
value: 64
verified: no, type: precision_at_10
value: 9.933
verified: no, type: precision_at_100
value: 1.077
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 26.556
verified: no, type: precision_at_5
value: 17.467
verified: no, type: recall_at_1
value: 60.928000000000004
verified: no, type: recall_at_10
value: 87.322
verified: no, type: recall_at_100
value: 94.833
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 72.628
verified: no, type: recall_at_5
value: 78.428
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: 99.86237623762376
verified: no, type: cos_sim_ap
value: 96.72586477206649
verified: no, type: cos_sim_f1
value: 93.01858362631845
verified: no, type: cos_sim_precision
value: 93.4409687184662
verified: no, type: cos_sim_recall
value: 92.60000000000001
verified: no, type: dot_accuracy
value: 99.78019801980199
verified: no, type: dot_ap
value: 93.72748205246228
verified: no, type: dot_f1
value: 89.04109589041096
verified: no, type: dot_precision
value: 87.16475095785441
verified: no, type: dot_recall
value: 91
verified: no, type: euclidean_accuracy
value: 99.85445544554456
verified: no, type: euclidean_ap
value: 96.6661459876145
verified: no, type: euclidean_f1
value: 92.58337481333997
verified: no, type: euclidean_precision
value: 92.17046580773042
verified: no, type: euclidean_recall
value: 93
verified: no, type: manhattan_accuracy
value: 99.85445544554456
verified: no, type: manhattan_ap
value: 96.6883549244056
verified: no, type: manhattan_f1
value: 92.57598405580468
verified: no, type: manhattan_precision
value: 92.25422045680239
verified: no, type: manhattan_recall
value: 92.9
verified: no, type: max_accuracy
value: 99.86237623762376
verified: no, type: max_ap
value: 96.72586477206649
verified: no, type: max_f1
value: 93.01858362631845
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 66.39930057069995
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: 34.96398659903402
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 55.946944700355395
verified: no, type: mrr
value: 56.97151398438164
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 31.541657650692905
verified: no, type: cos_sim_spearman
value: 31.605804192286303
verified: no, type: dot_pearson
value: 28.26905996736398
verified: no, type: dot_spearman
value: 27.864801765851187
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.22599999999999998
verified: no, type: map_at_10
value: 1.8870000000000002
verified: no, type: map_at_100
value: 9.78
verified: no, type: map_at_1000
value: 22.514
verified: no, type: map_at_3
value: 0.6669999999999999
verified: no, type: map_at_5
value: 1.077
verified: no, type: mrr_at_1
value: 82
verified: no, type: mrr_at_10
value: 89.86699999999999
verified: no, type: mrr_at_100
value: 89.86699999999999
verified: no, type: mrr_at_1000
value: 89.86699999999999
verified: no, type: mrr_at_3
value: 89.667
verified: no, type: mrr_at_5
value: 89.667
verified: no, type: ndcg_at_1
value: 79
verified: no, type: ndcg_at_10
value: 74.818
verified: no, type: ndcg_at_100
value: 53.715999999999994
verified: no, type: ndcg_at_1000
value: 47.082
verified: no, type: ndcg_at_3
value: 82.134
verified: no, type: ndcg_at_5
value: 79.81899999999999
verified: no, type: precision_at_1
value: 82
verified: no, type: precision_at_10
value: 78
verified: no, type: precision_at_100
value: 54.48
verified: no, type: precision_at_1000
value: 20.518
verified: no, type: precision_at_3
value: 87.333
verified: no, type: precision_at_5
value: 85.2
verified: no, type: recall_at_1
value: 0.22599999999999998
verified: no, type: recall_at_10
value: 2.072
verified: no, type: recall_at_100
value: 13.013
verified: no, type: recall_at_1000
value: 43.462
verified: no, type: recall_at_3
value: 0.695
verified: no, type: recall_at_5
value: 1.139
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.328
verified: no, type: map_at_10
value: 9.795
verified: no, type: map_at_100
value: 15.801000000000002
verified: no, type: map_at_1000
value: 17.23
verified: no, type: map_at_3
value: 4.734
verified: no, type: map_at_5
value: 6.644
verified: no, type: mrr_at_1
value: 30.612000000000002
verified: no, type: mrr_at_10
value: 46.902
verified: no, type: mrr_at_100
value: 47.495
verified: no, type: mrr_at_1000
value: 47.495
verified: no, type: mrr_at_3
value: 41.156
verified: no, type: mrr_at_5
value: 44.218
verified: no, type: ndcg_at_1
value: 28.571
verified: no, type: ndcg_at_10
value: 24.806
verified: no, type: ndcg_at_100
value: 36.419000000000004
verified: no, type: ndcg_at_1000
value: 47.272999999999996
verified: no, type: ndcg_at_3
value: 25.666
verified: no, type: ndcg_at_5
value: 25.448999999999998
verified: no, type: precision_at_1
value: 30.612000000000002
verified: no, type: precision_at_10
value: 23.061
verified: no, type: precision_at_100
value: 7.714
verified: no, type: precision_at_1000
value: 1.484
verified: no, type: precision_at_3
value: 26.531
verified: no, type: precision_at_5
value: 26.122
verified: no, type: recall_at_1
value: 2.328
verified: no, type: recall_at_10
value: 16.524
verified: no, type: recall_at_100
value: 47.179
verified: no, type: recall_at_1000
value: 81.22200000000001
verified: no, type: recall_at_3
value: 5.745
verified: no, type: recall_at_5
value: 9.339
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 70.9142
verified: no, type: ap
value: 14.335574772555415
verified: no, type: f1
value: 54.62839595194111
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 59.94340690435768
verified: no, type: f1
value: 60.286487936731916
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 51.26597708987974
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: 87.48882398521786
verified: no, type: cos_sim_ap
value: 79.04326607602204
verified: no, type: cos_sim_f1
value: 71.64566826860633
verified: no, type: cos_sim_precision
value: 70.55512918905092
verified: no, type: cos_sim_recall
value: 72.77044854881267
verified: no, type: dot_accuracy
value: 84.19264469213805
verified: no, type: dot_ap
value: 67.96360043562528
verified: no, type: dot_f1
value: 64.06418393006827
verified: no, type: dot_precision
value: 58.64941898706424
verified: no, type: dot_recall
value: 70.58047493403694
verified: no, type: euclidean_accuracy
value: 87.45902127913214
verified: no, type: euclidean_ap
value: 78.9742237648272
verified: no, type: euclidean_f1
value: 71.5553235908142
verified: no, type: euclidean_precision
value: 70.77955601445535
verified: no, type: euclidean_recall
value: 72.34828496042216
verified: no, type: manhattan_accuracy
value: 87.41729749061214
verified: no, type: manhattan_ap
value: 78.90073137580596
verified: no, type: manhattan_f1
value: 71.3942611553533
verified: no, type: manhattan_precision
value: 68.52705653967483
verified: no, type: manhattan_recall
value: 74.51187335092348
verified: no, type: max_accuracy
value: 87.48882398521786
verified: no, type: max_ap
value: 79.04326607602204
verified: no, type: max_f1
value: 71.64566826860633
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: 88.68125897465751
verified: no, type: cos_sim_ap
value: 85.6003454431979
verified: no, type: cos_sim_f1
value: 77.6957163958641
verified: no, type: cos_sim_precision
value: 73.0110366307807
verified: no, type: cos_sim_recall
value: 83.02279026793964
verified: no, type: dot_accuracy
value: 87.7672992587418
verified: no, type: dot_ap
value: 82.4971301112899
verified: no, type: dot_f1
value: 75.90528233151184
verified: no, type: dot_precision
value: 72.0370626469368
verified: no, type: dot_recall
value: 80.21250384970742
verified: no, type: euclidean_accuracy
value: 88.4503434625684
verified: no, type: euclidean_ap
value: 84.91949884748384
verified: no, type: euclidean_f1
value: 76.92365018444684
verified: no, type: euclidean_precision
value: 74.53245721712759
verified: no, type: euclidean_recall
value: 79.47336002463813
verified: no, type: manhattan_accuracy
value: 88.47556952691427
verified: no, type: manhattan_ap
value: 84.8963689101517
verified: no, type: manhattan_f1
value: 76.85901249256395
verified: no, type: manhattan_precision
value: 74.31693989071039
verified: no, type: manhattan_recall
value: 79.58115183246073
verified: no, type: max_accuracy
value: 88.68125897465751
verified: no, type: max_ap
value: 85.6003454431979
verified: no, type: max_f1
value: 77.6957163958641
verified: no
license: mit
language: en
Likes: 0 | All-time downloads: 228
Created: 2025-05-23 10:30:30