Model: Netizine/icis_e5_mistral_embeddings_instruct
Author: Netizine
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mistral, feature-extraction, mteb, transformers, en, license:mit, model-index, text-generation-inference, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: tags: mteb, sentence-transformers, transformers
model-index: name: e5-mistral-7b-instruct
results: task: type: STS
dataset: type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: None
metrics: type: cos_sim_pearson
value: 37.863226091673866
verified: no, type: cos_sim_spearman
value: 38.98733013335281
verified: no, type: euclidean_pearson
value: 37.51783380497874
verified: no, type: euclidean_spearman
value: 38.98733012753365
verified: no, type: manhattan_pearson
value: 37.26706888081721
verified: no, type: manhattan_spearman
value: 38.709750161903834
verified: no, task: type: STS
dataset: type: C-MTEB/ATEC
name: MTEB ATEC
config: default
split: test
revision: None
metrics: type: cos_sim_pearson
value: 43.33924583134623
verified: no, type: cos_sim_spearman
value: 42.84316155158754
verified: no, type: euclidean_pearson
value: 45.62709879515238
verified: no, type: euclidean_spearman
value: 42.843155921732404
verified: no, type: manhattan_pearson
value: 45.4786950991229
verified: no, type: manhattan_spearman
value: 42.657334751855984
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 78.68656716417911
verified: no, type: ap
value: 41.71522322900398
verified: no, type: f1
value: 72.37207703532552
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (de)
config: de
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 74.04710920770879
verified: no, type: ap
value: 83.42622221864045
verified: no, type: f1
value: 72.14388257905772
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en-ext)
config: en-ext
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 77.93103448275862
verified: no, type: ap
value: 26.039284760509513
verified: no, type: f1
value: 64.81092954450712
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (ja)
config: ja
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 77.21627408993577
verified: no, type: ap
value: 24.876490553983036
verified: no, type: f1
value: 63.8773359684989
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 95.90679999999999
verified: no, type: ap
value: 94.32357863164454
verified: no, type: f1
value: 95.90485634708557
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: 55.786
verified: no, type: f1
value: 55.31211995815146
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (de)
config: de
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 53.26
verified: no, type: f1
value: 52.156230111544986
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (es)
config: es
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 50.33
verified: no, type: f1
value: 49.195023008878145
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (fr)
config: fr
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 49.3
verified: no, type: f1
value: 48.434470184108
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (ja)
config: ja
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 48.68599999999999
verified: no, type: f1
value: 47.62681775202072
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (zh)
config: zh
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 46.238
verified: no, type: f1
value: 45.014030559653705
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 36.486000000000004
verified: no, type: map_at_10
value: 53.076
verified: no, type: map_at_100
value: 53.657999999999994
verified: no, type: map_at_1000
value: 53.659
verified: no, type: map_at_3
value: 48.234
verified: no, type: map_at_5
value: 51.121
verified: no, type: mrr_at_1
value: 37.269000000000005
verified: no, type: mrr_at_10
value: 53.335
verified: no, type: mrr_at_100
value: 53.916
verified: no, type: mrr_at_1000
value: 53.918
verified: no, type: mrr_at_3
value: 48.518
verified: no, type: mrr_at_5
value: 51.406
verified: no, type: ndcg_at_1
value: 36.486000000000004
verified: no, type: ndcg_at_10
value: 61.882000000000005
verified: no, type: ndcg_at_100
value: 64.165
verified: no, type: ndcg_at_1000
value: 64.203
verified: no, type: ndcg_at_3
value: 52.049
verified: no, type: ndcg_at_5
value: 57.199
verified: no, type: precision_at_1
value: 36.486000000000004
verified: no, type: precision_at_10
value: 8.982999999999999
verified: no, type: precision_at_100
value: 0.9939999999999999
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 21.029
verified: no, type: precision_at_5
value: 15.092
verified: no, type: recall_at_1
value: 36.486000000000004
verified: no, type: recall_at_10
value: 89.82900000000001
verified: no, type: recall_at_100
value: 99.36
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 63.087
verified: no, type: recall_at_5
value: 75.46199999999999
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: 50.45119266859667
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: 45.4958298992051
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 66.98177472838887
verified: no, type: mrr
value: 79.91854636591478
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 87.67086498650698
verified: no, type: cos_sim_spearman
value: 85.54773239564638
verified: no, type: euclidean_pearson
value: 86.48229161588425
verified: no, type: euclidean_spearman
value: 85.54773239564638
verified: no, type: manhattan_pearson
value: 86.67533327742343
verified: no, type: manhattan_spearman
value: 85.76099026691983
verified: no, task: type: STS
dataset: type: C-MTEB/BQ
name: MTEB BQ
config: default
split: test
revision: None
metrics: type: cos_sim_pearson
value: 50.31998888922809
verified: no, type: cos_sim_spearman
value: 50.6369940530675
verified: no, type: euclidean_pearson
value: 50.055544636296055
verified: no, type: euclidean_spearman
value: 50.63699405154838
verified: no, type: manhattan_pearson
value: 50.00739378036807
verified: no, type: manhattan_spearman
value: 50.607237418676945
verified: no, task: type: BitextMining
dataset: type: mteb/bucc-bitext-mining
name: MTEB BUCC (de-en)
config: de-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics: type: accuracy
value: 99.5615866388309
verified: no, type: f1
value: 99.49895615866389
verified: no, type: precision
value: 99.46764091858039
verified: no, type: recall
value: 99.5615866388309
verified: no, task: type: BitextMining
dataset: type: mteb/bucc-bitext-mining
name: MTEB BUCC (fr-en)
config: fr-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics: type: accuracy
value: 99.19656614571869
verified: no, type: f1
value: 99.08650671362535
verified: no, type: precision
value: 99.0314769975787
verified: no, type: recall
value: 99.19656614571869
verified: no, task: type: BitextMining
dataset: type: mteb/bucc-bitext-mining
name: MTEB BUCC (ru-en)
config: ru-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics: type: accuracy
value: 98.0256321440942
verified: no, type: f1
value: 97.83743216718624
verified: no, type: precision
value: 97.74390947927492
verified: no, type: recall
value: 98.0256321440942
verified: no, task: type: BitextMining
dataset: type: mteb/bucc-bitext-mining
name: MTEB BUCC (zh-en)
config: zh-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics: type: accuracy
value: 99.26276987888363
verified: no, type: f1
value: 99.22766368264
verified: no, type: precision
value: 99.21011058451816
verified: no, type: recall
value: 99.26276987888363
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 88.22727272727272
verified: no, type: f1
value: 88.17411732496673
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: 43.530637846246975
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: 40.23505728593893
verified: no, task: type: Clustering
dataset: type: C-MTEB/CLSClusteringP2P
name: MTEB CLSClusteringP2P
config: default
split: test
revision: None
metrics: type: v_measure
value: 44.419028279451275
verified: no, task: type: Clustering
dataset: type: C-MTEB/CLSClusteringS2S
name: MTEB CLSClusteringS2S
config: default
split: test
revision: None
metrics: type: v_measure
value: 42.5820277929776
verified: no, task: type: Reranking
dataset: type: C-MTEB/CMedQAv1-reranking
name: MTEB CMedQAv1
config: default
split: test
revision: None
metrics: type: map
value: 77.67811726152972
verified: no, type: mrr
value: 80.99003968253969
verified: no, task: type: Reranking
dataset: type: C-MTEB/CMedQAv2-reranking
name: MTEB CMedQAv2
config: default
split: test
revision: None
metrics: type: map
value: 78.66055354534922
verified: no, type: mrr
value: 81.66119047619047
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.162333333333333
verified: no, type: map_at_10
value: 37.22291666666667
verified: no, type: map_at_100
value: 38.56733333333333
verified: no, type: map_at_1000
value: 38.684250000000006
verified: no, type: map_at_3
value: 34.22858333333333
verified: no, type: map_at_5
value: 35.852500000000006
verified: no, type: mrr_at_1
value: 32.459833333333336
verified: no, type: mrr_at_10
value: 41.65358333333333
verified: no, type: mrr_at_100
value: 42.566916666666664
verified: no, type: mrr_at_1000
value: 42.61766666666667
verified: no, type: mrr_at_3
value: 39.210499999999996
verified: no, type: mrr_at_5
value: 40.582166666666666
verified: no, type: ndcg_at_1
value: 32.459833333333336
verified: no, type: ndcg_at_10
value: 42.96758333333333
verified: no, type: ndcg_at_100
value: 48.5065
verified: no, type: ndcg_at_1000
value: 50.556583333333336
verified: no, type: ndcg_at_3
value: 38.004416666666664
verified: no, type: ndcg_at_5
value: 40.25916666666667
verified: no, type: precision_at_1
value: 32.459833333333336
verified: no, type: precision_at_10
value: 7.664583333333333
verified: no, type: precision_at_100
value: 1.2349999999999999
verified: no, type: precision_at_1000
value: 0.15966666666666668
verified: no, type: precision_at_3
value: 17.731166666666663
verified: no, type: precision_at_5
value: 12.575333333333335
verified: no, type: recall_at_1
value: 27.162333333333333
verified: no, type: recall_at_10
value: 55.44158333333334
verified: no, type: recall_at_100
value: 79.56966666666666
verified: no, type: recall_at_1000
value: 93.45224999999999
verified: no, type: recall_at_3
value: 41.433083333333336
verified: no, type: recall_at_5
value: 47.31108333333333
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.539
verified: no, type: map_at_10
value: 28.494999999999997
verified: no, type: map_at_100
value: 30.568
verified: no, type: map_at_1000
value: 30.741000000000003
verified: no, type: map_at_3
value: 23.846999999999998
verified: no, type: map_at_5
value: 26.275
verified: no, type: mrr_at_1
value: 37.394
verified: no, type: mrr_at_10
value: 50.068
verified: no, type: mrr_at_100
value: 50.727
verified: no, type: mrr_at_1000
value: 50.751000000000005
verified: no, type: mrr_at_3
value: 46.938
verified: no, type: mrr_at_5
value: 48.818
verified: no, type: ndcg_at_1
value: 37.394
verified: no, type: ndcg_at_10
value: 38.349
verified: no, type: ndcg_at_100
value: 45.512
verified: no, type: ndcg_at_1000
value: 48.321
verified: no, type: ndcg_at_3
value: 32.172
verified: no, type: ndcg_at_5
value: 34.265
verified: no, type: precision_at_1
value: 37.394
verified: no, type: precision_at_10
value: 11.927999999999999
verified: no, type: precision_at_100
value: 1.966
verified: no, type: precision_at_1000
value: 0.25
verified: no, type: precision_at_3
value: 24.126
verified: no, type: precision_at_5
value: 18.306
verified: no, type: recall_at_1
value: 16.539
verified: no, type: recall_at_10
value: 44.504
verified: no, type: recall_at_100
value: 68.605
verified: no, type: recall_at_1000
value: 84.1
verified: no, type: recall_at_3
value: 29.008
verified: no, type: recall_at_5
value: 35.58
verified: no, task: type: Retrieval
dataset: type: C-MTEB/CmedqaRetrieval
name: MTEB CmedqaRetrieval
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 19.482
verified: no, type: map_at_10
value: 28.622999999999998
verified: no, type: map_at_100
value: 30.262
verified: no, type: map_at_1000
value: 30.432
verified: no, type: map_at_3
value: 25.647
verified: no, type: map_at_5
value: 27.128000000000004
verified: no, type: mrr_at_1
value: 30.408
verified: no, type: mrr_at_10
value: 37.188
verified: no, type: mrr_at_100
value: 38.196000000000005
verified: no, type: mrr_at_1000
value: 38.273
verified: no, type: mrr_at_3
value: 35.067
verified: no, type: mrr_at_5
value: 36.124
verified: no, type: ndcg_at_1
value: 30.408
verified: no, type: ndcg_at_10
value: 34.215
verified: no, type: ndcg_at_100
value: 41.349999999999994
verified: no, type: ndcg_at_1000
value: 44.689
verified: no, type: ndcg_at_3
value: 30.264999999999997
verified: no, type: ndcg_at_5
value: 31.572
verified: no, type: precision_at_1
value: 30.408
verified: no, type: precision_at_10
value: 7.6770000000000005
verified: no, type: precision_at_100
value: 1.352
verified: no, type: precision_at_1000
value: 0.178
verified: no, type: precision_at_3
value: 17.213
verified: no, type: precision_at_5
value: 12.198
verified: no, type: recall_at_1
value: 19.482
verified: no, type: recall_at_10
value: 42.368
verified: no, type: recall_at_100
value: 72.694
verified: no, type: recall_at_1000
value: 95.602
verified: no, type: recall_at_3
value: 30.101
verified: no, type: recall_at_5
value: 34.708
verified: no, task: type: PairClassification
dataset: type: C-MTEB/CMNLI
name: MTEB Cmnli
config: default
split: validation
revision: None
metrics: type: cos_sim_accuracy
value: 71.16055321707758
verified: no, type: cos_sim_ap
value: 80.21073839711723
verified: no, type: cos_sim_f1
value: 72.9740932642487
verified: no, type: cos_sim_precision
value: 65.53136050623488
verified: no, type: cos_sim_recall
value: 82.3240589198036
verified: no, type: dot_accuracy
value: 71.16055321707758
verified: no, type: dot_ap
value: 80.212299264122
verified: no, type: dot_f1
value: 72.9740932642487
verified: no, type: dot_precision
value: 65.53136050623488
verified: no, type: dot_recall
value: 82.3240589198036
verified: no, type: euclidean_accuracy
value: 71.16055321707758
verified: no, type: euclidean_ap
value: 80.21076298680417
verified: no, type: euclidean_f1
value: 72.9740932642487
verified: no, type: euclidean_precision
value: 65.53136050623488
verified: no, type: euclidean_recall
value: 82.3240589198036
verified: no, type: manhattan_accuracy
value: 70.71557426337944
verified: no, type: manhattan_ap
value: 79.93448977199749
verified: no, type: manhattan_f1
value: 72.83962726826877
verified: no, type: manhattan_precision
value: 62.7407908077053
verified: no, type: manhattan_recall
value: 86.81318681318682
verified: no, type: max_accuracy
value: 71.16055321707758
verified: no, type: max_ap
value: 80.212299264122
verified: no, type: max_f1
value: 72.9740932642487
verified: no, task: type: Retrieval
dataset: type: C-MTEB/CovidRetrieval
name: MTEB CovidRetrieval
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 60.643
verified: no, type: map_at_10
value: 69.011
verified: no, type: map_at_100
value: 69.533
verified: no, type: map_at_1000
value: 69.545
verified: no, type: map_at_3
value: 67.167
verified: no, type: map_at_5
value: 68.12700000000001
verified: no, type: mrr_at_1
value: 60.801
verified: no, type: mrr_at_10
value: 69.111
verified: no, type: mrr_at_100
value: 69.6
verified: no, type: mrr_at_1000
value: 69.611
verified: no, type: mrr_at_3
value: 67.229
verified: no, type: mrr_at_5
value: 68.214
verified: no, type: ndcg_at_1
value: 60.801
verified: no, type: ndcg_at_10
value: 73.128
verified: no, type: ndcg_at_100
value: 75.614
verified: no, type: ndcg_at_1000
value: 75.92
verified: no, type: ndcg_at_3
value: 69.261
verified: no, type: ndcg_at_5
value: 70.973
verified: no, type: precision_at_1
value: 60.801
verified: no, type: precision_at_10
value: 8.662
verified: no, type: precision_at_100
value: 0.9860000000000001
verified: no, type: precision_at_1000
value: 0.101
verified: no, type: precision_at_3
value: 25.149
verified: no, type: precision_at_5
value: 15.953999999999999
verified: no, type: recall_at_1
value: 60.643
verified: no, type: recall_at_10
value: 85.959
verified: no, type: recall_at_100
value: 97.576
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 75.184
verified: no, type: recall_at_5
value: 79.32000000000001
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 10.183
verified: no, type: map_at_10
value: 23.958
verified: no, type: map_at_100
value: 34.354
verified: no, type: map_at_1000
value: 36.442
verified: no, type: map_at_3
value: 16.345000000000002
verified: no, type: map_at_5
value: 19.647000000000002
verified: no, type: mrr_at_1
value: 74.25
verified: no, type: mrr_at_10
value: 80.976
verified: no, type: mrr_at_100
value: 81.256
verified: no, type: mrr_at_1000
value: 81.262
verified: no, type: mrr_at_3
value: 79.958
verified: no, type: mrr_at_5
value: 80.37100000000001
verified: no, type: ndcg_at_1
value: 62
verified: no, type: ndcg_at_10
value: 48.894999999999996
verified: no, type: ndcg_at_100
value: 53.867
verified: no, type: ndcg_at_1000
value: 61.304
verified: no, type: ndcg_at_3
value: 53.688
verified: no, type: ndcg_at_5
value: 50.900999999999996
verified: no, type: precision_at_1
value: 74.25
verified: no, type: precision_at_10
value: 39.525
verified: no, type: precision_at_100
value: 12.323
verified: no, type: precision_at_1000
value: 2.539
verified: no, type: precision_at_3
value: 57.49999999999999
verified: no, type: precision_at_5
value: 49.1
verified: no, type: recall_at_1
value: 10.183
verified: no, type: recall_at_10
value: 29.296
verified: no, type: recall_at_100
value: 60.394999999999996
verified: no, type: recall_at_1000
value: 83.12
verified: no, type: recall_at_3
value: 17.495
verified: no, type: recall_at_5
value: 22.235
verified: no, task: type: Retrieval
dataset: type: C-MTEB/DuRetrieval
name: MTEB DuRetrieval
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 26.613999999999997
verified: no, type: map_at_10
value: 79.77300000000001
verified: no, type: map_at_100
value: 82.71
verified: no, type: map_at_1000
value: 82.75
verified: no, type: map_at_3
value: 55.92700000000001
verified: no, type: map_at_5
value: 70.085
verified: no, type: mrr_at_1
value: 90.7
verified: no, type: mrr_at_10
value: 93.438
verified: no, type: mrr_at_100
value: 93.504
verified: no, type: mrr_at_1000
value: 93.50699999999999
verified: no, type: mrr_at_3
value: 93.125
verified: no, type: mrr_at_5
value: 93.34
verified: no, type: ndcg_at_1
value: 90.7
verified: no, type: ndcg_at_10
value: 87.023
verified: no, type: ndcg_at_100
value: 90.068
verified: no, type: ndcg_at_1000
value: 90.43299999999999
verified: no, type: ndcg_at_3
value: 86.339
verified: no, type: ndcg_at_5
value: 85.013
verified: no, type: precision_at_1
value: 90.7
verified: no, type: precision_at_10
value: 41.339999999999996
verified: no, type: precision_at_100
value: 4.806
verified: no, type: precision_at_1000
value: 0.48900000000000005
verified: no, type: precision_at_3
value: 76.983
verified: no, type: precision_at_5
value: 64.69
verified: no, type: recall_at_1
value: 26.613999999999997
verified: no, type: recall_at_10
value: 87.681
verified: no, type: recall_at_100
value: 97.44699999999999
verified: no, type: recall_at_1000
value: 99.348
verified: no, type: recall_at_3
value: 57.809999999999995
verified: no, type: recall_at_5
value: 74.258
verified: no, task: type: Retrieval
dataset: type: C-MTEB/EcomRetrieval
name: MTEB EcomRetrieval
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 30.9
verified: no, type: map_at_10
value: 40.467
verified: no, type: map_at_100
value: 41.423
verified: no, type: map_at_1000
value: 41.463
verified: no, type: map_at_3
value: 37.25
verified: no, type: map_at_5
value: 39.31
verified: no, type: mrr_at_1
value: 30.9
verified: no, type: mrr_at_10
value: 40.467
verified: no, type: mrr_at_100
value: 41.423
verified: no, type: mrr_at_1000
value: 41.463
verified: no, type: mrr_at_3
value: 37.25
verified: no, type: mrr_at_5
value: 39.31
verified: no, type: ndcg_at_1
value: 30.9
verified: no, type: ndcg_at_10
value: 45.957
verified: no, type: ndcg_at_100
value: 50.735
verified: no, type: ndcg_at_1000
value: 51.861999999999995
verified: no, type: ndcg_at_3
value: 39.437
verified: no, type: ndcg_at_5
value: 43.146
verified: no, type: precision_at_1
value: 30.9
verified: no, type: precision_at_10
value: 6.35
verified: no, type: precision_at_100
value: 0.861
verified: no, type: precision_at_1000
value: 0.095
verified: no, type: precision_at_3
value: 15.267
verified: no, type: precision_at_5
value: 10.96
verified: no, type: recall_at_1
value: 30.9
verified: no, type: recall_at_10
value: 63.5
verified: no, type: recall_at_100
value: 86.1
verified: no, type: recall_at_1000
value: 95.1
verified: no, type: recall_at_3
value: 45.800000000000004
verified: no, type: recall_at_5
value: 54.800000000000004
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 49.765
verified: no, type: f1
value: 45.93242203574485
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 75.138
verified: no, type: map_at_10
value: 84.21300000000001
verified: no, type: map_at_100
value: 84.43
verified: no, type: map_at_1000
value: 84.441
verified: no, type: map_at_3
value: 83.071
verified: no, type: map_at_5
value: 83.853
verified: no, type: mrr_at_1
value: 80.948
verified: no, type: mrr_at_10
value: 88.175
verified: no, type: mrr_at_100
value: 88.24
verified: no, type: mrr_at_1000
value: 88.241
verified: no, type: mrr_at_3
value: 87.516
verified: no, type: mrr_at_5
value: 87.997
verified: no, type: ndcg_at_1
value: 80.948
verified: no, type: ndcg_at_10
value: 87.84100000000001
verified: no, type: ndcg_at_100
value: 88.576
verified: no, type: ndcg_at_1000
value: 88.75699999999999
verified: no, type: ndcg_at_3
value: 86.176
verified: no, type: ndcg_at_5
value: 87.214
verified: no, type: precision_at_1
value: 80.948
verified: no, type: precision_at_10
value: 10.632
verified: no, type: precision_at_100
value: 1.123
verified: no, type: precision_at_1000
value: 0.11499999999999999
verified: no, type: precision_at_3
value: 33.193
verified: no, type: precision_at_5
value: 20.663
verified: no, type: recall_at_1
value: 75.138
verified: no, type: recall_at_10
value: 94.89699999999999
verified: no, type: recall_at_100
value: 97.751
verified: no, type: recall_at_1000
value: 98.833
verified: no, type: recall_at_3
value: 90.455
verified: no, type: recall_at_5
value: 93.085
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 29.45
verified: no, type: map_at_10
value: 48.596000000000004
verified: no, type: map_at_100
value: 50.70400000000001
verified: no, type: map_at_1000
value: 50.83800000000001
verified: no, type: map_at_3
value: 42.795
verified: no, type: map_at_5
value: 46.085
verified: no, type: mrr_at_1
value: 56.172999999999995
verified: no, type: mrr_at_10
value: 64.35300000000001
verified: no, type: mrr_at_100
value: 64.947
verified: no, type: mrr_at_1000
value: 64.967
verified: no, type: mrr_at_3
value: 62.653999999999996
verified: no, type: mrr_at_5
value: 63.534
verified: no, type: ndcg_at_1
value: 56.172999999999995
verified: no, type: ndcg_at_10
value: 56.593
verified: no, type: ndcg_at_100
value: 62.942
verified: no, type: ndcg_at_1000
value: 64.801
verified: no, type: ndcg_at_3
value: 53.024
verified: no, type: ndcg_at_5
value: 53.986999999999995
verified: no, type: precision_at_1
value: 56.172999999999995
verified: no, type: precision_at_10
value: 15.494
verified: no, type: precision_at_100
value: 2.222
verified: no, type: precision_at_1000
value: 0.254
verified: no, type: precision_at_3
value: 35.185
verified: no, type: precision_at_5
value: 25.556
verified: no, type: recall_at_1
value: 29.45
verified: no, type: recall_at_10
value: 62.882000000000005
verified: no, type: recall_at_100
value: 85.56099999999999
verified: no, type: recall_at_1000
value: 96.539
verified: no, type: recall_at_3
value: 47.911
verified: no, type: recall_at_5
value: 54.52
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 39.581
verified: no, type: map_at_10
value: 68.401
verified: no, type: map_at_100
value: 69.207
verified: no, type: map_at_1000
value: 69.25200000000001
verified: no, type: map_at_3
value: 64.689
verified: no, type: map_at_5
value: 67.158
verified: no, type: mrr_at_1
value: 79.163
verified: no, type: mrr_at_10
value: 85.22999999999999
verified: no, type: mrr_at_100
value: 85.386
verified: no, type: mrr_at_1000
value: 85.39099999999999
verified: no, type: mrr_at_3
value: 84.432
verified: no, type: mrr_at_5
value: 84.952
verified: no, type: ndcg_at_1
value: 79.163
verified: no, type: ndcg_at_10
value: 75.721
verified: no, type: ndcg_at_100
value: 78.411
verified: no, type: ndcg_at_1000
value: 79.23599999999999
verified: no, type: ndcg_at_3
value: 70.68799999999999
verified: no, type: ndcg_at_5
value: 73.694
verified: no, type: precision_at_1
value: 79.163
verified: no, type: precision_at_10
value: 16.134
verified: no, type: precision_at_100
value: 1.821
verified: no, type: precision_at_1000
value: 0.193
verified: no, type: precision_at_3
value: 46.446
verified: no, type: precision_at_5
value: 30.242
verified: no, type: recall_at_1
value: 39.581
verified: no, type: recall_at_10
value: 80.66799999999999
verified: no, type: recall_at_100
value: 91.033
verified: no, type: recall_at_1000
value: 96.408
verified: no, type: recall_at_3
value: 69.669
verified: no, type: recall_at_5
value: 75.604
verified: no, task: type: Classification
dataset: type: C-MTEB/IFlyTek-classification
name: MTEB IFlyTek
config: default
split: validation
revision: None
metrics: type: accuracy
value: 45.04809542131589
verified: no, type: f1
value: 37.01181779071118
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 94.78120000000001
verified: no, type: ap
value: 92.52931921594387
verified: no, type: f1
value: 94.77902110732532
verified: no, task: type: Classification
dataset: type: C-MTEB/JDReview-classification
name: MTEB JDReview
config: default
split: test
revision: None
metrics: type: accuracy
value: 85.81613508442777
verified: no, type: ap
value: 52.430320593468394
verified: no, type: f1
value: 79.95467268178068
verified: no, task: type: STS
dataset: type: C-MTEB/LCQMC
name: MTEB LCQMC
config: default
split: test
revision: None
metrics: type: cos_sim_pearson
value: 71.05801751913393
verified: no, type: cos_sim_spearman
value: 75.47954644971965
verified: no, type: euclidean_pearson
value: 74.27472296759713
verified: no, type: euclidean_spearman
value: 75.47954201369866
verified: no, type: manhattan_pearson
value: 74.30508190186474
verified: no, type: manhattan_spearman
value: 75.51326518159436
verified: no, task: type: Reranking
dataset: type: C-MTEB/Mmarco-reranking
name: MTEB MMarcoReranking
config: default
split: dev
revision: None
metrics: type: map
value: 24.21110921666315
verified: no, type: mrr
value: 22.863492063492064
verified: no, task: type: Retrieval
dataset: type: C-MTEB/MMarcoRetrieval
name: MTEB MMarcoRetrieval
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 61.38400000000001
verified: no, type: map_at_10
value: 70.895
verified: no, type: map_at_100
value: 71.314
verified: no, type: map_at_1000
value: 71.331
verified: no, type: map_at_3
value: 69.016
verified: no, type: map_at_5
value: 70.179
verified: no, type: mrr_at_1
value: 63.481
verified: no, type: mrr_at_10
value: 71.543
verified: no, type: mrr_at_100
value: 71.91300000000001
verified: no, type: mrr_at_1000
value: 71.928
verified: no, type: mrr_at_3
value: 69.90899999999999
verified: no, type: mrr_at_5
value: 70.907
verified: no, type: ndcg_at_1
value: 63.481
verified: no, type: ndcg_at_10
value: 74.833
verified: no, type: ndcg_at_100
value: 76.705
verified: no, type: ndcg_at_1000
value: 77.13600000000001
verified: no, type: ndcg_at_3
value: 71.236
verified: no, type: ndcg_at_5
value: 73.199
verified: no, type: precision_at_1
value: 63.481
verified: no, type: precision_at_10
value: 9.179
verified: no, type: precision_at_100
value: 1.011
verified: no, type: precision_at_1000
value: 0.105
verified: no, type: precision_at_3
value: 27.044
verified: no, type: precision_at_5
value: 17.272000000000002
verified: no, type: recall_at_1
value: 61.38400000000001
verified: no, type: recall_at_10
value: 86.318
verified: no, type: recall_at_100
value: 94.786
verified: no, type: recall_at_1000
value: 98.14500000000001
verified: no, type: recall_at_3
value: 76.717
verified: no, type: recall_at_5
value: 81.416
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 23.363999999999997
verified: no, type: map_at_10
value: 36.022
verified: no, type: map_at_100
value: 37.229
verified: no, type: map_at_1000
value: 37.274
verified: no, type: map_at_3
value: 32.131
verified: no, type: map_at_5
value: 34.391
verified: no, type: mrr_at_1
value: 24.069
verified: no, type: mrr_at_10
value: 36.620000000000005
verified: no, type: mrr_at_100
value: 37.769999999999996
verified: no, type: mrr_at_1000
value: 37.809
verified: no, type: mrr_at_3
value: 32.846
verified: no, type: mrr_at_5
value: 35.02
verified: no, type: ndcg_at_1
value: 24.069
verified: no, type: ndcg_at_10
value: 43.056
verified: no, type: ndcg_at_100
value: 48.754
verified: no, type: ndcg_at_1000
value: 49.829
verified: no, type: ndcg_at_3
value: 35.167
verified: no, type: ndcg_at_5
value: 39.168
verified: no, type: precision_at_1
value: 24.069
verified: no, type: precision_at_10
value: 6.762
verified: no, type: precision_at_100
value: 0.96
verified: no, type: precision_at_1000
value: 0.105
verified: no, type: precision_at_3
value: 14.957
verified: no, type: precision_at_5
value: 11.023
verified: no, type: recall_at_1
value: 23.363999999999997
verified: no, type: recall_at_10
value: 64.696
verified: no, type: recall_at_100
value: 90.795
verified: no, type: recall_at_1000
value: 98.892
verified: no, type: recall_at_3
value: 43.247
verified: no, type: recall_at_5
value: 52.86300000000001
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 96.11947104423166
verified: no, type: f1
value: 95.89561841159332
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (de)
config: de
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 92.97548605240912
verified: no, type: f1
value: 92.17133696717212
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (es)
config: es
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.37224816544364
verified: no, type: f1
value: 93.19978829237863
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (fr)
config: fr
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 91.28719072972127
verified: no, type: f1
value: 91.28448045979604
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (hi)
config: hi
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 88.8131946934385
verified: no, type: f1
value: 88.27883019362747
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (th)
config: th
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 85.52260397830018
verified: no, type: f1
value: 85.15528226728568
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 86.10807113543093
verified: no, type: f1
value: 70.88498219072167
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (de)
config: de
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 77.77120315581854
verified: no, type: f1
value: 57.97153920153224
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (es)
config: es
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 79.93995997331554
verified: no, type: f1
value: 58.839203810064866
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (fr)
config: fr
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 77.801440651425
verified: no, type: f1
value: 58.68009647839332
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (hi)
config: hi
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 72.90785227680172
verified: no, type: f1
value: 49.83760954655788
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (th)
config: th
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 73.24050632911391
verified: no, type: f1
value: 52.0562553541082
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (af)
config: af
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 66.47948890383321
verified: no, type: f1
value: 63.334877563135485
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (am)
config: am
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 44.2871553463349
verified: no, type: f1
value: 43.17658050605427
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ar)
config: ar
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 63.174176193678555
verified: no, type: f1
value: 59.236659587042425
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (az)
config: az
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 64.226630800269
verified: no, type: f1
value: 60.951842696956184
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (bn)
config: bn
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 64.94283792871555
verified: no, type: f1
value: 61.40057652844215
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (cy)
config: cy
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 55.480833893745796
verified: no, type: f1
value: 52.5298332072816
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (da)
config: da
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.52858103564223
verified: no, type: f1
value: 69.3770851919204
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (de)
config: de
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.09213180901143
verified: no, type: f1
value: 71.13518469365879
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (el)
config: el
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 68.31203765971756
verified: no, type: f1
value: 66.05906970865144
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: 80.57162071284465
verified: no, type: f1
value: 77.7866172598823
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (es)
config: es
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 75.09414929388029
verified: no, type: f1
value: 72.5712594833695
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (fa)
config: fa
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.20914593140553
verified: no, type: f1
value: 68.90619124909186
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (fi)
config: fi
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 68.74243443174176
verified: no, type: f1
value: 64.72743141749955
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (fr)
config: fr
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 75.11096166778749
verified: no, type: f1
value: 72.61849933064694
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (he)
config: he
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 66.22394082044384
verified: no, type: f1
value: 62.43648797607235
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (hi)
config: hi
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.44855413584399
verified: no, type: f1
value: 66.56851670913659
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (hu)
config: hu
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.4149293880296
verified: no, type: f1
value: 66.12960877904776
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (hy)
config: hy
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 56.916610625420304
verified: no, type: f1
value: 54.02534600927991
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (id)
config: id
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.71351714862138
verified: no, type: f1
value: 69.70227985126316
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (is)
config: is
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 59.91257565568257
verified: no, type: f1
value: 57.06811572144974
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (it)
config: it
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 75.25218560860793
verified: no, type: f1
value: 72.48057563104247
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ja)
config: ja
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 76.35507733691998
verified: no, type: f1
value: 73.03024649541128
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (jv)
config: jv
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 57.918628110289184
verified: no, type: f1
value: 54.75590124456177
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ka)
config: ka
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 52.548755884330866
verified: no, type: f1
value: 51.5356975360209
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (km)
config: km
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 46.44922663080027
verified: no, type: f1
value: 44.561114416830975
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (kn)
config: kn
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 53.95763281775386
verified: no, type: f1
value: 50.68367245122476
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ko)
config: ko
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.20645595158035
verified: no, type: f1
value: 71.78450093258185
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (lv)
config: lv
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 59.226630800269
verified: no, type: f1
value: 57.53988988993337
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ml)
config: ml
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 51.44922663080027
verified: no, type: f1
value: 48.58809018065056
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (mn)
config: mn
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 51.3752521856086
verified: no, type: f1
value: 49.91373941436425
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ms)
config: ms
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.85205110961668
verified: no, type: f1
value: 67.05660019588582
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (my)
config: my
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 49.1492938802959
verified: no, type: f1
value: 46.717578025393195
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (nb)
config: nb
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 70.93140551445865
verified: no, type: f1
value: 67.45406609372205
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (nl)
config: nl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.82851378614662
verified: no, type: f1
value: 71.15951964393868
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (pl)
config: pl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.84868863483524
verified: no, type: f1
value: 71.76056802364877
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (pt)
config: pt
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 75.27236045729657
verified: no, type: f1
value: 72.48733090101163
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ro)
config: ro
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.63012777404168
verified: no, type: f1
value: 66.56444015346203
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ru)
config: ru
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 76.62743779421655
verified: no, type: f1
value: 73.82720656992142
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (sl)
config: sl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 67.15198386012105
verified: no, type: f1
value: 64.41418309797744
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (sq)
config: sq
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 58.8399462004035
verified: no, type: f1
value: 56.050989519693886
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (sv)
config: sv
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 73.86684599865501
verified: no, type: f1
value: 70.80682480844303
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (sw)
config: sw
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 57.36718224613316
verified: no, type: f1
value: 54.998746471013774
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ta)
config: ta
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 53.150638870208475
verified: no, type: f1
value: 49.79179342620099
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (te)
config: te
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 51.50638870208473
verified: no, type: f1
value: 49.778960742003555
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (th)
config: th
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 66.906523201076
verified: no, type: f1
value: 66.75784022138245
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (tl)
config: tl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 68.73234700739744
verified: no, type: f1
value: 65.75016141148413
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (tr)
config: tr
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.06792199058508
verified: no, type: f1
value: 67.90334782594083
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (ur)
config: ur
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 62.09145931405515
verified: no, type: f1
value: 58.88703095210731
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (vi)
config: vi
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 71.17014122394083
verified: no, type: f1
value: 68.43676277921544
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (zh-CN)
config: zh-CN
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.99327505043712
verified: no, type: f1
value: 72.26813373392943
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (zh-TW)
config: zh-TW
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 71.13987895090787
verified: no, type: f1
value: 70.29309514467575
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (af)
config: af
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 73.37256220578345
verified: no, type: f1
value: 72.56456170538992
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (am)
config: am
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 47.205783456624076
verified: no, type: f1
value: 45.905999859074434
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ar)
config: ar
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 69.8352387357095
verified: no, type: f1
value: 69.43553987525273
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (az)
config: az
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 67.00403496973773
verified: no, type: f1
value: 65.97477215779143
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (bn)
config: bn
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 68.04976462676531
verified: no, type: f1
value: 67.24581993778398
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (cy)
config: cy
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 61.882985877605925
verified: no, type: f1
value: 59.995293199988794
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (da)
config: da
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.75857431069267
verified: no, type: f1
value: 76.52031675299841
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (de)
config: de
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 79.03496973772697
verified: no, type: f1
value: 79.25548063175344
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (el)
config: el
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 72.96570275722931
verified: no, type: f1
value: 72.19110435289122
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: 82.38735709482178
verified: no, type: f1
value: 82.34495627619785
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (es)
config: es
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.83994620040352
verified: no, type: f1
value: 78.91526355393667
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (fa)
config: fa
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.7350369872226
verified: no, type: f1
value: 75.919437344927
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (fi)
config: fi
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 71.21721587088096
verified: no, type: f1
value: 70.82973286243262
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (fr)
config: fr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.59784801613988
verified: no, type: f1
value: 78.47383161087423
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (he)
config: he
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 69.64021519838602
verified: no, type: f1
value: 68.45118053027653
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (hi)
config: hi
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 73.51042367182245
verified: no, type: f1
value: 72.90013022879003
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (hu)
config: hu
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 74.0551445864156
verified: no, type: f1
value: 73.45871761713292
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (hy)
config: hy
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 59.54606590450571
verified: no, type: f1
value: 57.72711794953869
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (id)
config: id
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.40753194351042
verified: no, type: f1
value: 76.8157455506521
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (is)
config: is
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 66.58372562205783
verified: no, type: f1
value: 65.2654868709758
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (it)
config: it
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.39273705447208
verified: no, type: f1
value: 78.3592956594837
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ja)
config: ja
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 79.62004034969739
verified: no, type: f1
value: 79.78673754501855
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (jv)
config: jv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 64.29051782111634
verified: no, type: f1
value: 63.12502587609454
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ka)
config: ka
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 57.51849361129791
verified: no, type: f1
value: 56.32320906403241
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (km)
config: km
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 52.41761936785474
verified: no, type: f1
value: 49.113762010098306
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (kn)
config: kn
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 58.547410894418284
verified: no, type: f1
value: 56.87580674198118
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ko)
config: ko
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.89038332212507
verified: no, type: f1
value: 79.09210140529848
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (lv)
config: lv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 63.503698722259585
verified: no, type: f1
value: 61.45718858568352
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ml)
config: ml
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 54.02824478816408
verified: no, type: f1
value: 52.732738981386504
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (mn)
config: mn
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 54.23671822461331
verified: no, type: f1
value: 52.688080372545286
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ms)
config: ms
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 75.5312710154674
verified: no, type: f1
value: 74.59368478550698
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (my)
config: my
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 52.192333557498316
verified: no, type: f1
value: 50.18302290152229
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (nb)
config: nb
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 75.6960322797579
verified: no, type: f1
value: 75.25331182714856
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (nl)
config: nl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.47679892400808
verified: no, type: f1
value: 78.24044732352424
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (pl)
config: pl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.36718224613315
verified: no, type: f1
value: 77.2714452985389
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (pt)
config: pt
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.96234028244788
verified: no, type: f1
value: 78.21282127011372
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ro)
config: ro
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 73.19435104236717
verified: no, type: f1
value: 73.1963711292812
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ru)
config: ru
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 80.52118359112306
verified: no, type: f1
value: 80.4179964390288
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (sl)
config: sl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 73.65837256220577
verified: no, type: f1
value: 73.07156989634905
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (sq)
config: sq
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 64.02824478816409
verified: no, type: f1
value: 62.972399027713664
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (sv)
config: sv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.87020847343645
verified: no, type: f1
value: 78.224240866849
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (sw)
config: sw
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 64.6570275722932
verified: no, type: f1
value: 63.274871811412545
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ta)
config: ta
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 57.760591795561524
verified: no, type: f1
value: 56.73711528075771
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (te)
config: te
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 57.26967047747142
verified: no, type: f1
value: 55.74735330863165
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (th)
config: th
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 72.46133154001345
verified: no, type: f1
value: 71.9644168952811
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (tl)
config: tl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 73.70880968392737
verified: no, type: f1
value: 73.61543141070884
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (tr)
config: tr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 75.0437121721587
verified: no, type: f1
value: 74.83359868879921
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (ur)
config: ur
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 67.05110961667788
verified: no, type: f1
value: 66.25869819274315
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (vi)
config: vi
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 75.52118359112306
verified: no, type: f1
value: 75.92098546052303
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (zh-CN)
config: zh-CN
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 79.92938802958977
verified: no, type: f1
value: 79.79833572573796
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (zh-TW)
config: zh-TW
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.86617350369872
verified: no, type: f1
value: 77.42645654909516
verified: no, task: type: Retrieval
dataset: type: C-MTEB/MedicalRetrieval
name: MTEB MedicalRetrieval
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 44.6
verified: no, type: map_at_10
value: 50.019000000000005
verified: no, type: map_at_100
value: 50.611
verified: no, type: map_at_1000
value: 50.67
verified: no, type: map_at_3
value: 48.699999999999996
verified: no, type: map_at_5
value: 49.455
verified: no, type: mrr_at_1
value: 44.800000000000004
verified: no, type: mrr_at_10
value: 50.119
verified: no, type: mrr_at_100
value: 50.711
verified: no, type: mrr_at_1000
value: 50.77
verified: no, type: mrr_at_3
value: 48.8
verified: no, type: mrr_at_5
value: 49.555
verified: no, type: ndcg_at_1
value: 44.6
verified: no, type: ndcg_at_10
value: 52.754
verified: no, type: ndcg_at_100
value: 55.935
verified: no, type: ndcg_at_1000
value: 57.607
verified: no, type: ndcg_at_3
value: 50.012
verified: no, type: ndcg_at_5
value: 51.393
verified: no, type: precision_at_1
value: 44.6
verified: no, type: precision_at_10
value: 6.140000000000001
verified: no, type: precision_at_100
value: 0.77
verified: no, type: precision_at_1000
value: 0.09
verified: no, type: precision_at_3
value: 17.933
verified: no, type: precision_at_5
value: 11.44
verified: no, type: recall_at_1
value: 44.6
verified: no, type: recall_at_10
value: 61.4
verified: no, type: recall_at_100
value: 77
verified: no, type: recall_at_1000
value: 90.4
verified: no, type: recall_at_3
value: 53.800000000000004
verified: no, type: recall_at_5
value: 57.199999999999996
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: 38.192667527616315
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: 37.44738902946689
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 32.59661273103955
verified: no, type: mrr
value: 33.82024242497473
verified: no, task: type: Classification
dataset: type: C-MTEB/MultilingualSentiment-classification
name: MTEB MultilingualSentiment
config: default
split: validation
revision: None
metrics: type: accuracy
value: 73.31333333333335
verified: no, type: f1
value: 73.0873466527602
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.471
verified: no, type: map_at_10
value: 14.142
verified: no, type: map_at_100
value: 18.179000000000002
verified: no, type: map_at_1000
value: 19.772000000000002
verified: no, type: map_at_3
value: 9.716
verified: no, type: map_at_5
value: 11.763
verified: no, type: mrr_at_1
value: 51.393
verified: no, type: mrr_at_10
value: 58.814
verified: no, type: mrr_at_100
value: 59.330000000000005
verified: no, type: mrr_at_1000
value: 59.35
verified: no, type: mrr_at_3
value: 56.398
verified: no, type: mrr_at_5
value: 58.038999999999994
verified: no, type: ndcg_at_1
value: 49.69
verified: no, type: ndcg_at_10
value: 38.615
verified: no, type: ndcg_at_100
value: 35.268
verified: no, type: ndcg_at_1000
value: 43.745
verified: no, type: ndcg_at_3
value: 43.187
verified: no, type: ndcg_at_5
value: 41.528999999999996
verified: no, type: precision_at_1
value: 51.083999999999996
verified: no, type: precision_at_10
value: 29.474
verified: no, type: precision_at_100
value: 9.167
verified: no, type: precision_at_1000
value: 2.2089999999999996
verified: no, type: precision_at_3
value: 40.351
verified: no, type: precision_at_5
value: 36.285000000000004
verified: no, type: recall_at_1
value: 5.471
verified: no, type: recall_at_10
value: 19.242
verified: no, type: recall_at_100
value: 37.14
verified: no, type: recall_at_1000
value: 68.35900000000001
verified: no, type: recall_at_3
value: 10.896
verified: no, type: recall_at_5
value: 14.75
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 39.499
verified: no, type: map_at_10
value: 55.862
verified: no, type: map_at_100
value: 56.667
verified: no, type: map_at_1000
value: 56.684999999999995
verified: no, type: map_at_3
value: 51.534
verified: no, type: map_at_5
value: 54.2
verified: no, type: mrr_at_1
value: 44.351
verified: no, type: mrr_at_10
value: 58.567
verified: no, type: mrr_at_100
value: 59.099000000000004
verified: no, type: mrr_at_1000
value: 59.109
verified: no, type: mrr_at_3
value: 55.218999999999994
verified: no, type: mrr_at_5
value: 57.391999999999996
verified: no, type: ndcg_at_1
value: 44.322
verified: no, type: ndcg_at_10
value: 63.535
verified: no, type: ndcg_at_100
value: 66.654
verified: no, type: ndcg_at_1000
value: 66.991
verified: no, type: ndcg_at_3
value: 55.701
verified: no, type: ndcg_at_5
value: 60.06700000000001
verified: no, type: precision_at_1
value: 44.322
verified: no, type: precision_at_10
value: 10.026
verified: no, type: precision_at_100
value: 1.18
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 24.865000000000002
verified: no, type: precision_at_5
value: 17.48
verified: no, type: recall_at_1
value: 39.499
verified: no, type: recall_at_10
value: 84.053
verified: no, type: recall_at_100
value: 97.11
verified: no, type: recall_at_1000
value: 99.493
verified: no, type: recall_at_3
value: 64.091
verified: no, type: recall_at_5
value: 74.063
verified: no, task: type: PairClassification
dataset: type: C-MTEB/OCNLI
name: MTEB Ocnli
config: default
split: validation
revision: None
metrics: type: cos_sim_accuracy
value: 61.18029236599891
verified: no, type: cos_sim_ap
value: 64.18398769398412
verified: no, type: cos_sim_f1
value: 67.96347757046446
verified: no, type: cos_sim_precision
value: 54.4529262086514
verified: no, type: cos_sim_recall
value: 90.3907074973601
verified: no, type: dot_accuracy
value: 61.18029236599891
verified: no, type: dot_ap
value: 64.18393484706077
verified: no, type: dot_f1
value: 67.96347757046446
verified: no, type: dot_precision
value: 54.4529262086514
verified: no, type: dot_recall
value: 90.3907074973601
verified: no, type: euclidean_accuracy
value: 61.18029236599891
verified: no, type: euclidean_ap
value: 64.18395024821486
verified: no, type: euclidean_f1
value: 67.96347757046446
verified: no, type: euclidean_precision
value: 54.4529262086514
verified: no, type: euclidean_recall
value: 90.3907074973601
verified: no, type: manhattan_accuracy
value: 61.451001624255554
verified: no, type: manhattan_ap
value: 64.38232708763513
verified: no, type: manhattan_f1
value: 68.05860805860804
verified: no, type: manhattan_precision
value: 52.10319685922602
verified: no, type: manhattan_recall
value: 98.09926082365365
verified: no, type: max_accuracy
value: 61.451001624255554
verified: no, type: max_ap
value: 64.38232708763513
verified: no, type: max_f1
value: 68.05860805860804
verified: no, task: type: Classification
dataset: type: C-MTEB/OnlineShopping-classification
name: MTEB OnlineShopping
config: default
split: test
revision: None
metrics: type: accuracy
value: 92.19000000000001
verified: no, type: ap
value: 89.73918431886767
verified: no, type: f1
value: 92.17175032574507
verified: no, task: type: STS
dataset: type: C-MTEB/PAWSX
name: MTEB PAWSX
config: default
split: test
revision: None
metrics: type: cos_sim_pearson
value: 15.079320253752224
verified: no, type: cos_sim_spearman
value: 16.813772504404263
verified: no, type: euclidean_pearson
value: 19.476541162041762
verified: no, type: euclidean_spearman
value: 16.813772498098782
verified: no, type: manhattan_pearson
value: 19.497429832915277
verified: no, type: manhattan_spearman
value: 16.869600674180607
verified: no, task: type: STS
dataset: type: C-MTEB/QBQTC
name: MTEB QBQTC
config: default
split: test
revision: None
metrics: type: cos_sim_pearson
value: 30.36139599797913
verified: no, type: cos_sim_spearman
value: 31.80296402851347
verified: no, type: euclidean_pearson
value: 30.10387888252793
verified: no, type: euclidean_spearman
value: 31.80297780103808
verified: no, type: manhattan_pearson
value: 30.86720382849436
verified: no, type: manhattan_spearman
value: 32.70491131366606
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 71.911
verified: no, type: map_at_10
value: 86.087
verified: no, type: map_at_100
value: 86.701
verified: no, type: map_at_1000
value: 86.715
verified: no, type: map_at_3
value: 83.231
verified: no, type: map_at_5
value: 85.051
verified: no, type: mrr_at_1
value: 82.75
verified: no, type: mrr_at_10
value: 88.759
verified: no, type: mrr_at_100
value: 88.844
verified: no, type: mrr_at_1000
value: 88.844
verified: no, type: mrr_at_3
value: 87.935
verified: no, type: mrr_at_5
value: 88.504
verified: no, type: ndcg_at_1
value: 82.75
verified: no, type: ndcg_at_10
value: 89.605
verified: no, type: ndcg_at_100
value: 90.664
verified: no, type: ndcg_at_1000
value: 90.733
verified: no, type: ndcg_at_3
value: 87.03
verified: no, type: ndcg_at_5
value: 88.473
verified: no, type: precision_at_1
value: 82.75
verified: no, type: precision_at_10
value: 13.575000000000001
verified: no, type: precision_at_100
value: 1.539
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 38.153
verified: no, type: precision_at_5
value: 25.008000000000003
verified: no, type: recall_at_1
value: 71.911
verified: no, type: recall_at_10
value: 96.261
verified: no, type: recall_at_100
value: 99.72800000000001
verified: no, type: recall_at_1000
value: 99.993
verified: no, type: recall_at_3
value: 88.762
verified: no, type: recall_at_5
value: 92.949
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 57.711581165572376
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: 66.48938885750297
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 3.7379999999999995
verified: no, type: map_at_10
value: 9.261
verified: no, type: map_at_100
value: 11.001
verified: no, type: map_at_1000
value: 11.262
verified: no, type: map_at_3
value: 6.816
verified: no, type: map_at_5
value: 8
verified: no, type: mrr_at_1
value: 18.4
verified: no, type: mrr_at_10
value: 28.755999999999997
verified: no, type: mrr_at_100
value: 29.892000000000003
verified: no, type: mrr_at_1000
value: 29.961
verified: no, type: mrr_at_3
value: 25.467000000000002
verified: no, type: mrr_at_5
value: 27.332
verified: no, type: ndcg_at_1
value: 18.4
verified: no, type: ndcg_at_10
value: 16.296
verified: no, type: ndcg_at_100
value: 23.52
verified: no, type: ndcg_at_1000
value: 28.504
verified: no, type: ndcg_at_3
value: 15.485
verified: no, type: ndcg_at_5
value: 13.471
verified: no, type: precision_at_1
value: 18.4
verified: no, type: precision_at_10
value: 8.469999999999999
verified: no, type: precision_at_100
value: 1.8950000000000002
verified: no, type: precision_at_1000
value: 0.309
verified: no, type: precision_at_3
value: 14.6
verified: no, type: precision_at_5
value: 11.84
verified: no, type: recall_at_1
value: 3.7379999999999995
verified: no, type: recall_at_10
value: 17.185
verified: no, type: recall_at_100
value: 38.397
verified: no, type: recall_at_1000
value: 62.798
verified: no, type: recall_at_3
value: 8.896999999999998
verified: no, type: recall_at_5
value: 12.021999999999998
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: 86.43977757480083
verified: no, type: cos_sim_spearman
value: 82.64182475199533
verified: no, type: euclidean_pearson
value: 83.71756009999591
verified: no, type: euclidean_spearman
value: 82.64182331395057
verified: no, type: manhattan_pearson
value: 83.8028936913025
verified: no, type: manhattan_spearman
value: 82.71024597804252
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: 86.85653060698912
verified: no, type: cos_sim_spearman
value: 79.65598885228324
verified: no, type: euclidean_pearson
value: 83.1205137628455
verified: no, type: euclidean_spearman
value: 79.65629387709038
verified: no, type: manhattan_pearson
value: 83.71108853545837
verified: no, type: manhattan_spearman
value: 80.25617619716708
verified: no, task: type: STS
dataset: type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_pearson
value: 88.22921688565664
verified: no, type: cos_sim_spearman
value: 88.42662103041957
verified: no, type: euclidean_pearson
value: 87.91679798473325
verified: no, type: euclidean_spearman
value: 88.42662103041957
verified: no, type: manhattan_pearson
value: 88.16927537961303
verified: no, type: manhattan_spearman
value: 88.81581680062541
verified: no, task: type: STS
dataset: type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_pearson
value: 86.77261424554293
verified: no, type: cos_sim_spearman
value: 84.53930146434155
verified: no, type: euclidean_pearson
value: 85.67420491389697
verified: no, type: euclidean_spearman
value: 84.53929771783851
verified: no, type: manhattan_pearson
value: 85.74306784515618
verified: no, type: manhattan_spearman
value: 84.7399304675314
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: 89.86138395166455
verified: no, type: cos_sim_spearman
value: 90.42577823022054
verified: no, type: euclidean_pearson
value: 89.8787763797515
verified: no, type: euclidean_spearman
value: 90.42577823022054
verified: no, type: manhattan_pearson
value: 89.9592937492158
verified: no, type: manhattan_spearman
value: 90.63535505335524
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: 86.5176674585941
verified: no, type: cos_sim_spearman
value: 87.6842917085397
verified: no, type: euclidean_pearson
value: 86.70213081520711
verified: no, type: euclidean_spearman
value: 87.6842917085397
verified: no, type: manhattan_pearson
value: 86.83702628983627
verified: no, type: manhattan_spearman
value: 87.87791000374443
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (ko-ko)
config: ko-ko
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 83.86395454805867
verified: no, type: cos_sim_spearman
value: 83.69454595252267
verified: no, type: euclidean_pearson
value: 83.04743892608313
verified: no, type: euclidean_spearman
value: 83.69454026433006
verified: no, type: manhattan_pearson
value: 83.4032095553322
verified: no, type: manhattan_spearman
value: 84.11527379013802
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (ar-ar)
config: ar-ar
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 81.80249894729546
verified: no, type: cos_sim_spearman
value: 81.87004960533409
verified: no, type: euclidean_pearson
value: 80.0392760044179
verified: no, type: euclidean_spearman
value: 81.87004960533409
verified: no, type: manhattan_pearson
value: 80.38096542355912
verified: no, type: manhattan_spearman
value: 82.40774679630341
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-ar)
config: en-ar
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 77.6158201787172
verified: no, type: cos_sim_spearman
value: 77.934651044009
verified: no, type: euclidean_pearson
value: 77.7874683895269
verified: no, type: euclidean_spearman
value: 77.934651044009
verified: no, type: manhattan_pearson
value: 78.36151849193052
verified: no, type: manhattan_spearman
value: 78.52439586349938
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-de)
config: en-de
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 87.04363311392207
verified: no, type: cos_sim_spearman
value: 87.30483659369973
verified: no, type: euclidean_pearson
value: 87.62634489502616
verified: no, type: euclidean_spearman
value: 87.30483659369973
verified: no, type: manhattan_pearson
value: 88.02340837141445
verified: no, type: manhattan_spearman
value: 87.55012003294
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: 91.69172851958248
verified: no, type: cos_sim_spearman
value: 91.7546879482416
verified: no, type: euclidean_pearson
value: 91.84843039183963
verified: no, type: euclidean_spearman
value: 91.7546879482416
verified: no, type: manhattan_pearson
value: 91.72325753804357
verified: no, type: manhattan_spearman
value: 91.55330259513397
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-tr)
config: en-tr
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 73.95572901084864
verified: no, type: cos_sim_spearman
value: 72.56217821552626
verified: no, type: euclidean_pearson
value: 74.24242980323574
verified: no, type: euclidean_spearman
value: 72.56217821552626
verified: no, type: manhattan_pearson
value: 74.57473362519922
verified: no, type: manhattan_spearman
value: 72.76048826648497
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (es-en)
config: es-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 86.93329396008296
verified: no, type: cos_sim_spearman
value: 88.2406635486219
verified: no, type: euclidean_pearson
value: 87.49687343908533
verified: no, type: euclidean_spearman
value: 88.2406635486219
verified: no, type: manhattan_pearson
value: 88.14088309231084
verified: no, type: manhattan_spearman
value: 88.93314020908534
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (es-es)
config: es-es
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 88.70124451546057
verified: no, type: cos_sim_spearman
value: 87.45988160052252
verified: no, type: euclidean_pearson
value: 88.44395505247728
verified: no, type: euclidean_spearman
value: 87.45988160052252
verified: no, type: manhattan_pearson
value: 88.69269783495425
verified: no, type: manhattan_spearman
value: 87.65383425621
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (fr-en)
config: fr-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 87.64109149761346
verified: no, type: cos_sim_spearman
value: 88.06459637689733
verified: no, type: euclidean_pearson
value: 88.02313315797703
verified: no, type: euclidean_spearman
value: 88.06459637689733
verified: no, type: manhattan_pearson
value: 88.28328539133253
verified: no, type: manhattan_spearman
value: 88.06605708379142
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (it-en)
config: it-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 88.9040028177525
verified: no, type: cos_sim_spearman
value: 89.68152202933464
verified: no, type: euclidean_pearson
value: 89.23684469601253
verified: no, type: euclidean_spearman
value: 89.68152202933464
verified: no, type: manhattan_pearson
value: 89.59504307277454
verified: no, type: manhattan_spearman
value: 89.88060100313582
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (nl-en)
config: nl-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 87.69891585325125
verified: no, type: cos_sim_spearman
value: 88.25252785071736
verified: no, type: euclidean_pearson
value: 87.99932873748662
verified: no, type: euclidean_spearman
value: 88.25252785071736
verified: no, type: manhattan_pearson
value: 88.26959683009446
verified: no, type: manhattan_spearman
value: 88.32583227300715
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: 67.53235909794135
verified: no, type: cos_sim_spearman
value: 66.97521740529574
verified: no, type: euclidean_pearson
value: 68.19502223613912
verified: no, type: euclidean_spearman
value: 66.97521740529574
verified: no, type: manhattan_pearson
value: 68.39070714774539
verified: no, type: manhattan_spearman
value: 67.1072812364868
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (de)
config: de
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 43.715742021204775
verified: no, type: cos_sim_spearman
value: 49.12255971271453
verified: no, type: euclidean_pearson
value: 40.76848562610837
verified: no, type: euclidean_spearman
value: 49.12255971271453
verified: no, type: manhattan_pearson
value: 40.92204625614112
verified: no, type: manhattan_spearman
value: 49.23333793661129
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (es)
config: es
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 63.35268345563588
verified: no, type: cos_sim_spearman
value: 66.99661626042061
verified: no, type: euclidean_pearson
value: 65.85589122857066
verified: no, type: euclidean_spearman
value: 66.99661626042061
verified: no, type: manhattan_pearson
value: 66.78454301512294
verified: no, type: manhattan_spearman
value: 67.17570330149233
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (pl)
config: pl
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 33.36599908204445
verified: no, type: cos_sim_spearman
value: 39.20768331939503
verified: no, type: euclidean_pearson
value: 22.16066769530468
verified: no, type: euclidean_spearman
value: 39.20768331939503
verified: no, type: manhattan_pearson
value: 22.386053195546022
verified: no, type: manhattan_spearman
value: 39.70172817465986
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (tr)
config: tr
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 63.06813956986753
verified: no, type: cos_sim_spearman
value: 68.72065117995668
verified: no, type: euclidean_pearson
value: 66.97373456344194
verified: no, type: euclidean_spearman
value: 68.72065117995668
verified: no, type: manhattan_pearson
value: 67.34907265771595
verified: no, type: manhattan_spearman
value: 68.73705769957843
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (ar)
config: ar
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 47.17664865207108
verified: no, type: cos_sim_spearman
value: 54.115568323148864
verified: no, type: euclidean_pearson
value: 48.56418162879182
verified: no, type: euclidean_spearman
value: 54.115568323148864
verified: no, type: manhattan_pearson
value: 48.85951643453165
verified: no, type: manhattan_spearman
value: 54.13599784169052
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (ru)
config: ru
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 55.87514136275987
verified: no, type: cos_sim_spearman
value: 60.82923573674973
verified: no, type: euclidean_pearson
value: 53.724183308215615
verified: no, type: euclidean_spearman
value: 60.82923573674973
verified: no, type: manhattan_pearson
value: 53.954305573102445
verified: no, type: manhattan_spearman
value: 60.957483900644526
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (zh)
config: zh
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 59.55001413648593
verified: no, type: cos_sim_spearman
value: 63.395777040381276
verified: no, type: euclidean_pearson
value: 59.869972550293305
verified: no, type: euclidean_spearman
value: 63.395777040381276
verified: no, type: manhattan_pearson
value: 61.16195496847885
verified: no, type: manhattan_spearman
value: 63.41968682525581
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (fr)
config: fr
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 79.13334972675852
verified: no, type: cos_sim_spearman
value: 79.86263136371802
verified: no, type: euclidean_pearson
value: 78.2433603592541
verified: no, type: euclidean_spearman
value: 79.86263136371802
verified: no, type: manhattan_pearson
value: 78.87337106318412
verified: no, type: manhattan_spearman
value: 80.31230584758441
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (de-en)
config: de-en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 63.559700748242356
verified: no, type: cos_sim_spearman
value: 60.92342109509558
verified: no, type: euclidean_pearson
value: 66.07256437521119
verified: no, type: euclidean_spearman
value: 60.92342109509558
verified: no, type: manhattan_pearson
value: 67.72769744612663
verified: no, type: manhattan_spearman
value: 59.64714507774168
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (es-en)
config: es-en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 73.93491616145891
verified: no, type: cos_sim_spearman
value: 75.84242594400156
verified: no, type: euclidean_pearson
value: 74.87279745626121
verified: no, type: euclidean_spearman
value: 75.84242594400156
verified: no, type: manhattan_pearson
value: 76.47764144677505
verified: no, type: manhattan_spearman
value: 77.08411157845183
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (it)
config: it
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 72.75624124540954
verified: no, type: cos_sim_spearman
value: 75.8667941654703
verified: no, type: euclidean_pearson
value: 73.74314588451925
verified: no, type: euclidean_spearman
value: 75.8667941654703
verified: no, type: manhattan_pearson
value: 73.99641425871518
verified: no, type: manhattan_spearman
value: 76.1982840205817
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (pl-en)
config: pl-en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 75.20898141298767
verified: no, type: cos_sim_spearman
value: 73.18060375331436
verified: no, type: euclidean_pearson
value: 75.44489280944619
verified: no, type: euclidean_spearman
value: 73.18060375331436
verified: no, type: manhattan_pearson
value: 75.65451039552286
verified: no, type: manhattan_spearman
value: 72.97744006123156
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (zh-en)
config: zh-en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 72.04278252247816
verified: no, type: cos_sim_spearman
value: 71.8846446821539
verified: no, type: euclidean_pearson
value: 73.16043307050612
verified: no, type: euclidean_spearman
value: 71.8846446821539
verified: no, type: manhattan_pearson
value: 74.76905116839777
verified: no, type: manhattan_spearman
value: 72.66237093518471
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (es-it)
config: es-it
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 71.71033173838558
verified: no, type: cos_sim_spearman
value: 75.043122881885
verified: no, type: euclidean_pearson
value: 72.77579680345087
verified: no, type: euclidean_spearman
value: 75.043122881885
verified: no, type: manhattan_pearson
value: 72.99901534854922
verified: no, type: manhattan_spearman
value: 75.15418335015957
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (de-fr)
config: de-fr
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 55.75733447190482
verified: no, type: cos_sim_spearman
value: 61.38968334176681
verified: no, type: euclidean_pearson
value: 55.479231520643744
verified: no, type: euclidean_spearman
value: 61.38968334176681
verified: no, type: manhattan_pearson
value: 56.05230571465244
verified: no, type: manhattan_spearman
value: 62.69383054007398
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (de-pl)
config: de-pl
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 41.72244325050302
verified: no, type: cos_sim_spearman
value: 54.47476909084119
verified: no, type: euclidean_pearson
value: 43.94629756436873
verified: no, type: euclidean_spearman
value: 54.47476909084119
verified: no, type: manhattan_pearson
value: 46.36533046394657
verified: no, type: manhattan_spearman
value: 54.87509243633636
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (fr-pl)
config: fr-pl
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 70.75183711835146
verified: no, type: cos_sim_spearman
value: 84.51542547285167
verified: no, type: euclidean_pearson
value: 71.84188960126669
verified: no, type: euclidean_spearman
value: 84.51542547285167
verified: no, type: manhattan_pearson
value: 73.94847166379994
verified: no, type: manhattan_spearman
value: 84.51542547285167
verified: no, task: type: STS
dataset: type: C-MTEB/STSB
name: MTEB STSB
config: default
split: test
revision: None
metrics: type: cos_sim_pearson
value: 81.78690149086131
verified: no, type: cos_sim_spearman
value: 81.81202616916873
verified: no, type: euclidean_pearson
value: 80.98792254251062
verified: no, type: euclidean_spearman
value: 81.81202616916873
verified: no, type: manhattan_pearson
value: 81.46953021346732
verified: no, type: manhattan_spearman
value: 82.34259562492315
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 87.68273341294419
verified: no, type: cos_sim_spearman
value: 88.59927164210958
verified: no, type: euclidean_pearson
value: 88.10745681818025
verified: no, type: euclidean_spearman
value: 88.59927164210958
verified: no, type: manhattan_pearson
value: 88.25166703784649
verified: no, type: manhattan_spearman
value: 88.85343247873482
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 86.3340463345719
verified: no, type: mrr
value: 96.5182611506141
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 60.967000000000006
verified: no, type: map_at_10
value: 71.873
verified: no, type: map_at_100
value: 72.271
verified: no, type: map_at_1000
value: 72.292
verified: no, type: map_at_3
value: 69.006
verified: no, type: map_at_5
value: 70.856
verified: no, type: mrr_at_1
value: 63.666999999999994
verified: no, type: mrr_at_10
value: 72.929
verified: no, type: mrr_at_100
value: 73.26
verified: no, type: mrr_at_1000
value: 73.282
verified: no, type: mrr_at_3
value: 71.111
verified: no, type: mrr_at_5
value: 72.328
verified: no, type: ndcg_at_1
value: 63.666999999999994
verified: no, type: ndcg_at_10
value: 76.414
verified: no, type: ndcg_at_100
value: 78.152
verified: no, type: ndcg_at_1000
value: 78.604
verified: no, type: ndcg_at_3
value: 71.841
verified: no, type: ndcg_at_5
value: 74.435
verified: no, type: precision_at_1
value: 63.666999999999994
verified: no, type: precision_at_10
value: 10.067
verified: no, type: precision_at_100
value: 1.097
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 27.667
verified: no, type: precision_at_5
value: 18.467
verified: no, type: recall_at_1
value: 60.967000000000006
verified: no, type: recall_at_10
value: 88.922
verified: no, type: recall_at_100
value: 96.667
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 77.228
verified: no, type: recall_at_5
value: 83.428
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: 99.82277227722773
verified: no, type: cos_sim_ap
value: 95.66279851444406
verified: no, type: cos_sim_f1
value: 90.9367088607595
verified: no, type: cos_sim_precision
value: 92.1025641025641
verified: no, type: cos_sim_recall
value: 89.8
verified: no, type: dot_accuracy
value: 99.82277227722773
verified: no, type: dot_ap
value: 95.66279851444406
verified: no, type: dot_f1
value: 90.9367088607595
verified: no, type: dot_precision
value: 92.1025641025641
verified: no, type: dot_recall
value: 89.8
verified: no, type: euclidean_accuracy
value: 99.82277227722773
verified: no, type: euclidean_ap
value: 95.66279851444406
verified: no, type: euclidean_f1
value: 90.9367088607595
verified: no, type: euclidean_precision
value: 92.1025641025641
verified: no, type: euclidean_recall
value: 89.8
verified: no, type: manhattan_accuracy
value: 99.82673267326733
verified: no, type: manhattan_ap
value: 95.86094873177069
verified: no, type: manhattan_f1
value: 91.26788357178096
verified: no, type: manhattan_precision
value: 90.06815968841285
verified: no, type: manhattan_recall
value: 92.5
verified: no, type: max_accuracy
value: 99.82673267326733
verified: no, type: max_ap
value: 95.86094873177069
verified: no, type: max_f1
value: 91.26788357178096
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 73.09533925852372
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: 45.90745648090035
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 54.91147686504404
verified: no, type: mrr
value: 56.03900082760377
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 31.46908662038217
verified: no, type: cos_sim_spearman
value: 31.40325730367437
verified: no, type: dot_pearson
value: 31.469083969291894
verified: no, type: dot_spearman
value: 31.40325730367437
verified: no, task: type: Reranking
dataset: type: C-MTEB/T2Reranking
name: MTEB T2Reranking
config: default
split: dev
revision: None
metrics: type: map
value: 66.90300783402137
verified: no, type: mrr
value: 77.06451972574179
verified: no, task: type: Retrieval
dataset: type: C-MTEB/T2Retrieval
name: MTEB T2Retrieval
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 25.82
verified: no, type: map_at_10
value: 72.32300000000001
verified: no, type: map_at_100
value: 76.198
verified: no, type: map_at_1000
value: 76.281
verified: no, type: map_at_3
value: 50.719
verified: no, type: map_at_5
value: 62.326
verified: no, type: mrr_at_1
value: 86.599
verified: no, type: mrr_at_10
value: 89.751
verified: no, type: mrr_at_100
value: 89.876
verified: no, type: mrr_at_1000
value: 89.88000000000001
verified: no, type: mrr_at_3
value: 89.151
verified: no, type: mrr_at_5
value: 89.519
verified: no, type: ndcg_at_1
value: 86.599
verified: no, type: ndcg_at_10
value: 80.676
verified: no, type: ndcg_at_100
value: 85.03
verified: no, type: ndcg_at_1000
value: 85.854
verified: no, type: ndcg_at_3
value: 82.057
verified: no, type: ndcg_at_5
value: 80.537
verified: no, type: precision_at_1
value: 86.599
verified: no, type: precision_at_10
value: 40.373
verified: no, type: precision_at_100
value: 4.95
verified: no, type: precision_at_1000
value: 0.514
verified: no, type: precision_at_3
value: 71.918
verified: no, type: precision_at_5
value: 60.246
verified: no, type: recall_at_1
value: 25.82
verified: no, type: recall_at_10
value: 79.905
verified: no, type: recall_at_100
value: 93.88499999999999
verified: no, type: recall_at_1000
value: 98.073
verified: no, type: recall_at_3
value: 52.623
verified: no, type: recall_at_5
value: 66.233
verified: no, task: type: Classification
dataset: type: C-MTEB/TNews-classification
name: MTEB TNews
config: default
split: validation
revision: None
metrics: type: accuracy
value: 47.050000000000004
verified: no, type: f1
value: 45.704071498353294
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.243
verified: no, type: map_at_10
value: 2.278
verified: no, type: map_at_100
value: 14.221
verified: no, type: map_at_1000
value: 33.474
verified: no, type: map_at_3
value: 0.7270000000000001
verified: no, type: map_at_5
value: 1.183
verified: no, type: mrr_at_1
value: 94
verified: no, type: mrr_at_10
value: 97
verified: no, type: mrr_at_100
value: 97
verified: no, type: mrr_at_1000
value: 97
verified: no, type: mrr_at_3
value: 97
verified: no, type: mrr_at_5
value: 97
verified: no, type: ndcg_at_1
value: 90
verified: no, type: ndcg_at_10
value: 87.249
verified: no, type: ndcg_at_100
value: 67.876
verified: no, type: ndcg_at_1000
value: 59.205
verified: no, type: ndcg_at_3
value: 90.12299999999999
verified: no, type: ndcg_at_5
value: 89.126
verified: no, type: precision_at_1
value: 94
verified: no, type: precision_at_10
value: 90.8
verified: no, type: precision_at_100
value: 69.28
verified: no, type: precision_at_1000
value: 25.85
verified: no, type: precision_at_3
value: 94.667
verified: no, type: precision_at_5
value: 92.80000000000001
verified: no, type: recall_at_1
value: 0.243
verified: no, type: recall_at_10
value: 2.392
verified: no, type: recall_at_100
value: 16.982
verified: no, type: recall_at_1000
value: 55.214
verified: no, type: recall_at_3
value: 0.745
verified: no, type: recall_at_5
value: 1.2229999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (sqi-eng)
config: sqi-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 70.5
verified: no, type: f1
value: 67.05501804646966
verified: no, type: precision
value: 65.73261904761904
verified: no, type: recall
value: 70.5
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (fry-eng)
config: fry-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 75.14450867052022
verified: no, type: f1
value: 70.98265895953759
verified: no, type: precision
value: 69.26782273603082
verified: no, type: recall
value: 75.14450867052022
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (kur-eng)
config: kur-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 33.170731707317074
verified: no, type: f1
value: 29.92876500193573
verified: no, type: precision
value: 28.669145894755648
verified: no, type: recall
value: 33.170731707317074
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (tur-eng)
config: tur-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.5
verified: no, type: f1
value: 94.13333333333333
verified: no, type: precision
value: 93.46666666666667
verified: no, type: recall
value: 95.5
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (deu-eng)
config: deu-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 99.6
verified: no, type: f1
value: 99.46666666666665
verified: no, type: precision
value: 99.4
verified: no, type: recall
value: 99.6
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (nld-eng)
config: nld-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.2
verified: no, type: f1
value: 96.39999999999999
verified: no, type: precision
value: 96
verified: no, type: recall
value: 97.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ron-eng)
config: ron-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.5
verified: no, type: f1
value: 92.99666666666667
verified: no, type: precision
value: 92.31666666666666
verified: no, type: recall
value: 94.5
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ang-eng)
config: ang-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 85.82089552238806
verified: no, type: f1
value: 81.59203980099502
verified: no, type: precision
value: 79.60199004975124
verified: no, type: recall
value: 85.82089552238806
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ido-eng)
config: ido-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 79.5
verified: no, type: f1
value: 75.11246031746032
verified: no, type: precision
value: 73.38734126984127
verified: no, type: recall
value: 79.5
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (jav-eng)
config: jav-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 44.390243902439025
verified: no, type: f1
value: 38.48896631823461
verified: no, type: precision
value: 36.57220286488579
verified: no, type: recall
value: 44.390243902439025
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (isl-eng)
config: isl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 90.2
verified: no, type: f1
value: 87.57333333333334
verified: no, type: precision
value: 86.34166666666665
verified: no, type: recall
value: 90.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (slv-eng)
config: slv-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 88.82138517618469
verified: no, type: f1
value: 85.98651854423423
verified: no, type: precision
value: 84.79257073424753
verified: no, type: recall
value: 88.82138517618469
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (cym-eng)
config: cym-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 77.04347826086956
verified: no, type: f1
value: 72.32108147606868
verified: no, type: precision
value: 70.37207357859532
verified: no, type: recall
value: 77.04347826086956
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (kaz-eng)
config: kaz-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 53.04347826086957
verified: no, type: f1
value: 46.88868184955141
verified: no, type: precision
value: 44.71730105643149
verified: no, type: recall
value: 53.04347826086957
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (est-eng)
config: est-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 68
verified: no, type: f1
value: 62.891813186813195
verified: no, type: precision
value: 61.037906162464985
verified: no, type: recall
value: 68
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (heb-eng)
config: heb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 86.3
verified: no, type: f1
value: 82.82000000000001
verified: no, type: precision
value: 81.25690476190475
verified: no, type: recall
value: 86.3
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (gla-eng)
config: gla-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 68.87816646562122
verified: no, type: f1
value: 63.53054933272062
verified: no, type: precision
value: 61.47807816331196
verified: no, type: recall
value: 68.87816646562122
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (mar-eng)
config: mar-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 74.4
verified: no, type: f1
value: 68.99388888888889
verified: no, type: precision
value: 66.81035714285713
verified: no, type: recall
value: 74.4
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (lat-eng)
config: lat-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 90.5
verified: no, type: f1
value: 87.93666666666667
verified: no, type: precision
value: 86.825
verified: no, type: recall
value: 90.5
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (bel-eng)
config: bel-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 90.7
verified: no, type: f1
value: 88.09
verified: no, type: precision
value: 86.85833333333333
verified: no, type: recall
value: 90.7
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (pms-eng)
config: pms-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 67.61904761904762
verified: no, type: f1
value: 62.30239247214037
verified: no, type: precision
value: 60.340702947845806
verified: no, type: recall
value: 67.61904761904762
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (gle-eng)
config: gle-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 77.9
verified: no, type: f1
value: 73.81285714285714
verified: no, type: precision
value: 72.21570818070818
verified: no, type: recall
value: 77.9
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (pes-eng)
config: pes-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91.8
verified: no, type: f1
value: 89.66666666666667
verified: no, type: precision
value: 88.66666666666666
verified: no, type: recall
value: 91.8
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (nob-eng)
config: nob-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.6
verified: no, type: f1
value: 96.85666666666665
verified: no, type: precision
value: 96.50833333333333
verified: no, type: recall
value: 97.6
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (bul-eng)
config: bul-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.39999999999999
verified: no, type: f1
value: 93.98333333333333
verified: no, type: precision
value: 93.30000000000001
verified: no, type: recall
value: 95.39999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (cbk-eng)
config: cbk-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 85
verified: no, type: f1
value: 81.31538461538462
verified: no, type: precision
value: 79.70666666666666
verified: no, type: recall
value: 85
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (hun-eng)
config: hun-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91.60000000000001
verified: no, type: f1
value: 89.81888888888888
verified: no, type: precision
value: 89.08583333333333
verified: no, type: recall
value: 91.60000000000001
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (uig-eng)
config: uig-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 44.3
verified: no, type: f1
value: 38.8623088023088
verified: no, type: precision
value: 37.03755623461505
verified: no, type: recall
value: 44.3
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (rus-eng)
config: rus-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.19999999999999
verified: no, type: f1
value: 93.75
verified: no, type: precision
value: 93.05
verified: no, type: recall
value: 95.19999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (spa-eng)
config: spa-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 99.1
verified: no, type: f1
value: 98.8
verified: no, type: precision
value: 98.65
verified: no, type: recall
value: 99.1
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (hye-eng)
config: hye-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 69.6765498652291
verified: no, type: f1
value: 63.991785393402644
verified: no, type: precision
value: 61.7343729944808
verified: no, type: recall
value: 69.6765498652291
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (tel-eng)
config: tel-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 50
verified: no, type: f1
value: 42.79341029341029
verified: no, type: precision
value: 40.25098358431692
verified: no, type: recall
value: 50
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (afr-eng)
config: afr-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 89.7
verified: no, type: f1
value: 87.19023809523809
verified: no, type: precision
value: 86.12595238095237
verified: no, type: recall
value: 89.7
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (mon-eng)
config: mon-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 42.72727272727273
verified: no, type: f1
value: 37.78789518562245
verified: no, type: precision
value: 36.24208471267295
verified: no, type: recall
value: 42.72727272727273
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (arz-eng)
config: arz-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 75.26205450733752
verified: no, type: f1
value: 70.72842833849123
verified: no, type: precision
value: 68.93256464011182
verified: no, type: recall
value: 75.26205450733752
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (hrv-eng)
config: hrv-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.19999999999999
verified: no, type: f1
value: 93.96666666666668
verified: no, type: precision
value: 93.42
verified: no, type: recall
value: 95.19999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (nov-eng)
config: nov-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 76.26459143968872
verified: no, type: f1
value: 72.40190419178747
verified: no, type: precision
value: 70.84954604409856
verified: no, type: recall
value: 76.26459143968872
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (gsw-eng)
config: gsw-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 59.82905982905983
verified: no, type: f1
value: 52.2100122100122
verified: no, type: precision
value: 49.52516619183286
verified: no, type: recall
value: 59.82905982905983
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (nds-eng)
config: nds-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 81.69999999999999
verified: no, type: f1
value: 77.41714285714286
verified: no, type: precision
value: 75.64833333333334
verified: no, type: recall
value: 81.69999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ukr-eng)
config: ukr-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.5
verified: no, type: f1
value: 94.45
verified: no, type: precision
value: 93.93333333333334
verified: no, type: recall
value: 95.5
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (uzb-eng)
config: uzb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 58.41121495327103
verified: no, type: f1
value: 52.73495974430554
verified: no, type: precision
value: 50.717067200712066
verified: no, type: recall
value: 58.41121495327103
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (lit-eng)
config: lit-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 73.3
verified: no, type: f1
value: 69.20371794871795
verified: no, type: precision
value: 67.6597557997558
verified: no, type: recall
value: 73.3
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ina-eng)
config: ina-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.5
verified: no, type: f1
value: 95.51666666666667
verified: no, type: precision
value: 95.05
verified: no, type: recall
value: 96.5
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (lfn-eng)
config: lfn-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 78.4
verified: no, type: f1
value: 73.88856643356644
verified: no, type: precision
value: 72.01373015873016
verified: no, type: recall
value: 78.4
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (zsm-eng)
config: zsm-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.3
verified: no, type: f1
value: 94.09666666666668
verified: no, type: precision
value: 93.53333333333332
verified: no, type: recall
value: 95.3
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ita-eng)
config: ita-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.7
verified: no, type: f1
value: 91.94
verified: no, type: precision
value: 91.10833333333333
verified: no, type: recall
value: 93.7
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (cmn-eng)
config: cmn-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.8
verified: no, type: f1
value: 95.89999999999999
verified: no, type: precision
value: 95.46666666666668
verified: no, type: recall
value: 96.8
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (lvs-eng)
config: lvs-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 70.5
verified: no, type: f1
value: 66.00635642135641
verified: no, type: precision
value: 64.36345238095238
verified: no, type: recall
value: 70.5
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (glg-eng)
config: glg-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 92.4
verified: no, type: f1
value: 90.44388888888889
verified: no, type: precision
value: 89.5767857142857
verified: no, type: recall
value: 92.4
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ceb-eng)
config: ceb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 48
verified: no, type: f1
value: 43.15372775372776
verified: no, type: precision
value: 41.53152510162313
verified: no, type: recall
value: 48
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (bre-eng)
config: bre-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 16.7
verified: no, type: f1
value: 14.198431372549017
verified: no, type: precision
value: 13.411765873015872
verified: no, type: recall
value: 16.7
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ben-eng)
config: ben-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 85.7
verified: no, type: f1
value: 81.81666666666666
verified: no, type: precision
value: 80.10833333333332
verified: no, type: recall
value: 85.7
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (swg-eng)
config: swg-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 69.64285714285714
verified: no, type: f1
value: 64.745670995671
verified: no, type: precision
value: 62.916666666666664
verified: no, type: recall
value: 69.64285714285714
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (arq-eng)
config: arq-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 54.665203073545555
verified: no, type: f1
value: 48.55366630916923
verified: no, type: precision
value: 46.35683318998357
verified: no, type: recall
value: 54.665203073545555
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (kab-eng)
config: kab-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 4.8
verified: no, type: f1
value: 3.808587223587223
verified: no, type: precision
value: 3.5653174603174604
verified: no, type: recall
value: 4.8
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (fra-eng)
config: fra-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.6
verified: no, type: f1
value: 95.77333333333333
verified: no, type: precision
value: 95.39166666666667
verified: no, type: recall
value: 96.6
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (por-eng)
config: por-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.39999999999999
verified: no, type: f1
value: 94.44
verified: no, type: precision
value: 93.975
verified: no, type: recall
value: 95.39999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (tat-eng)
config: tat-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 42
verified: no, type: f1
value: 37.024908424908425
verified: no, type: precision
value: 35.365992063492065
verified: no, type: recall
value: 42
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (oci-eng)
config: oci-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 66.7
verified: no, type: f1
value: 62.20460835058661
verified: no, type: precision
value: 60.590134587634594
verified: no, type: recall
value: 66.7
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (pol-eng)
config: pol-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.3
verified: no, type: f1
value: 96.46666666666667
verified: no, type: precision
value: 96.06666666666668
verified: no, type: recall
value: 97.3
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (war-eng)
config: war-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 47.3
verified: no, type: f1
value: 41.96905408317173
verified: no, type: precision
value: 40.18741402116402
verified: no, type: recall
value: 47.3
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (aze-eng)
config: aze-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 80.2
verified: no, type: f1
value: 76.22690476190476
verified: no, type: precision
value: 74.63539682539682
verified: no, type: recall
value: 80.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (vie-eng)
config: vie-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96
verified: no, type: f1
value: 94.83333333333333
verified: no, type: precision
value: 94.26666666666668
verified: no, type: recall
value: 96
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (nno-eng)
config: nno-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 89.7
verified: no, type: f1
value: 87.24333333333334
verified: no, type: precision
value: 86.17
verified: no, type: recall
value: 89.7
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (cha-eng)
config: cha-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 50.36496350364964
verified: no, type: f1
value: 44.795520780922246
verified: no, type: precision
value: 43.09002433090024
verified: no, type: recall
value: 50.36496350364964
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (mhr-eng)
config: mhr-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 18.8
verified: no, type: f1
value: 16.242864357864356
verified: no, type: precision
value: 15.466596638655464
verified: no, type: recall
value: 18.8
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (dan-eng)
config: dan-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.19999999999999
verified: no, type: f1
value: 93.92333333333333
verified: no, type: precision
value: 93.30833333333332
verified: no, type: recall
value: 95.19999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ell-eng)
config: ell-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.4
verified: no, type: f1
value: 91.42333333333333
verified: no, type: precision
value: 90.50833333333334
verified: no, type: recall
value: 93.4
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (amh-eng)
config: amh-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 26.190476190476193
verified: no, type: f1
value: 22.05208151636723
verified: no, type: precision
value: 21.09292328042328
verified: no, type: recall
value: 26.190476190476193
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (pam-eng)
config: pam-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 17.2
verified: no, type: f1
value: 14.021009731460952
verified: no, type: precision
value: 13.1389886698243
verified: no, type: recall
value: 17.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (hsb-eng)
config: hsb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 78.67494824016563
verified: no, type: f1
value: 74.24430641821947
verified: no, type: precision
value: 72.50747642051991
verified: no, type: recall
value: 78.67494824016563
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (srp-eng)
config: srp-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.19999999999999
verified: no, type: f1
value: 92.54
verified: no, type: precision
value: 91.75833333333334
verified: no, type: recall
value: 94.19999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (epo-eng)
config: epo-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 90.2
verified: no, type: f1
value: 87.78666666666666
verified: no, type: precision
value: 86.69833333333334
verified: no, type: recall
value: 90.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (kzj-eng)
config: kzj-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 14.7
verified: no, type: f1
value: 12.19206214842218
verified: no, type: precision
value: 11.526261904761904
verified: no, type: recall
value: 14.7
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (awa-eng)
config: awa-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 73.16017316017316
verified: no, type: f1
value: 67.44858316286889
verified: no, type: precision
value: 65.23809523809523
verified: no, type: recall
value: 73.16017316017316
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (fao-eng)
config: fao-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 75.19083969465649
verified: no, type: f1
value: 70.33078880407125
verified: no, type: precision
value: 68.3969465648855
verified: no, type: recall
value: 75.19083969465649
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (mal-eng)
config: mal-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 62.154294032023294
verified: no, type: f1
value: 55.86030821838681
verified: no, type: precision
value: 53.53509623160277
verified: no, type: recall
value: 62.154294032023294
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ile-eng)
config: ile-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 86.8
verified: no, type: f1
value: 83.9652380952381
verified: no, type: precision
value: 82.84242424242424
verified: no, type: recall
value: 86.8
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (bos-eng)
config: bos-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.50282485875707
verified: no, type: f1
value: 91.54425612052731
verified: no, type: precision
value: 90.65442561205272
verified: no, type: recall
value: 93.50282485875707
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (cor-eng)
config: cor-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 11.4
verified: no, type: f1
value: 9.189775870222714
verified: no, type: precision
value: 8.66189886502811
verified: no, type: recall
value: 11.4
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (cat-eng)
config: cat-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.4
verified: no, type: f1
value: 91.88666666666666
verified: no, type: precision
value: 91.21444444444444
verified: no, type: recall
value: 93.4
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (eus-eng)
config: eus-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 46
verified: no, type: f1
value: 40.51069226095542
verified: no, type: precision
value: 38.57804926010808
verified: no, type: recall
value: 46
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (yue-eng)
config: yue-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91
verified: no, type: f1
value: 89.11333333333333
verified: no, type: precision
value: 88.27000000000001
verified: no, type: recall
value: 91
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (swe-eng)
config: swe-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.39999999999999
verified: no, type: f1
value: 92.95
verified: no, type: precision
value: 92.27000000000001
verified: no, type: recall
value: 94.39999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (dtp-eng)
config: dtp-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 14.2
verified: no, type: f1
value: 11.73701698770113
verified: no, type: precision
value: 11.079207014736676
verified: no, type: recall
value: 14.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (kat-eng)
config: kat-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 65.14745308310992
verified: no, type: f1
value: 59.665707393589415
verified: no, type: precision
value: 57.560853653346946
verified: no, type: recall
value: 65.14745308310992
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (jpn-eng)
config: jpn-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.39999999999999
verified: no, type: f1
value: 94
verified: no, type: precision
value: 93.33333333333333
verified: no, type: recall
value: 95.39999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (csb-eng)
config: csb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 69.56521739130434
verified: no, type: f1
value: 62.92490118577074
verified: no, type: precision
value: 60.27009222661397
verified: no, type: recall
value: 69.56521739130434
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (xho-eng)
config: xho-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 40.140845070422536
verified: no, type: f1
value: 35.96411804158283
verified: no, type: precision
value: 34.89075869357559
verified: no, type: recall
value: 40.140845070422536
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (orv-eng)
config: orv-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 65.86826347305389
verified: no, type: f1
value: 59.646248628284546
verified: no, type: precision
value: 57.22982606216139
verified: no, type: recall
value: 65.86826347305389
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ind-eng)
config: ind-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.89999999999999
verified: no, type: f1
value: 93.48333333333333
verified: no, type: precision
value: 92.83666666666667
verified: no, type: recall
value: 94.89999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (tuk-eng)
config: tuk-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 47.783251231527096
verified: no, type: f1
value: 42.006447302013804
verified: no, type: precision
value: 40.12747105111637
verified: no, type: recall
value: 47.783251231527096
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (max-eng)
config: max-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 69.71830985915493
verified: no, type: f1
value: 64.80266212660578
verified: no, type: precision
value: 63.08098591549296
verified: no, type: recall
value: 69.71830985915493
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (swh-eng)
config: swh-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 67.94871794871796
verified: no, type: f1
value: 61.59912309912309
verified: no, type: precision
value: 59.17338217338218
verified: no, type: recall
value: 67.94871794871796
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (hin-eng)
config: hin-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.39999999999999
verified: no, type: f1
value: 95.28333333333335
verified: no, type: precision
value: 94.75
verified: no, type: recall
value: 96.39999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (dsb-eng)
config: dsb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 70.14613778705638
verified: no, type: f1
value: 65.4349338900487
verified: no, type: precision
value: 63.57599255302805
verified: no, type: recall
value: 70.14613778705638
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ber-eng)
config: ber-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 9.2
verified: no, type: f1
value: 7.622184434339607
verified: no, type: precision
value: 7.287048159682417
verified: no, type: recall
value: 9.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (tam-eng)
config: tam-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 77.85016286644951
verified: no, type: f1
value: 72.83387622149837
verified: no, type: precision
value: 70.58450959102424
verified: no, type: recall
value: 77.85016286644951
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (slk-eng)
config: slk-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 90.8
verified: no, type: f1
value: 88.84333333333333
verified: no, type: precision
value: 87.96666666666665
verified: no, type: recall
value: 90.8
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (tgl-eng)
config: tgl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.6
verified: no, type: f1
value: 93.14
verified: no, type: precision
value: 92.49833333333333
verified: no, type: recall
value: 94.6
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ast-eng)
config: ast-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 84.25196850393701
verified: no, type: f1
value: 80.94488188976378
verified: no, type: precision
value: 79.65879265091863
verified: no, type: recall
value: 84.25196850393701
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (mkd-eng)
config: mkd-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 89.5
verified: no, type: f1
value: 86.89666666666666
verified: no, type: precision
value: 85.7
verified: no, type: recall
value: 89.5
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (khm-eng)
config: khm-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 42.797783933518005
verified: no, type: f1
value: 37.30617360155193
verified: no, type: precision
value: 35.34933825792552
verified: no, type: recall
value: 42.797783933518005
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ces-eng)
config: ces-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.1
verified: no, type: f1
value: 94.93333333333332
verified: no, type: precision
value: 94.38333333333333
verified: no, type: recall
value: 96.1
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (tzl-eng)
config: tzl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 54.807692307692314
verified: no, type: f1
value: 49.506903353057204
verified: no, type: precision
value: 47.54807692307693
verified: no, type: recall
value: 54.807692307692314
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (urd-eng)
config: urd-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 87.1
verified: no, type: f1
value: 83.61857142857143
verified: no, type: precision
value: 81.975
verified: no, type: recall
value: 87.1
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ara-eng)
config: ara-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91.10000000000001
verified: no, type: f1
value: 88.76333333333332
verified: no, type: precision
value: 87.67
verified: no, type: recall
value: 91.10000000000001
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (kor-eng)
config: kor-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.10000000000001
verified: no, type: f1
value: 91.28999999999999
verified: no, type: precision
value: 90.44500000000001
verified: no, type: recall
value: 93.10000000000001
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (yid-eng)
config: yid-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 39.97641509433962
verified: no, type: f1
value: 33.12271889998028
verified: no, type: precision
value: 30.95185381542554
verified: no, type: recall
value: 39.97641509433962
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (fin-eng)
config: fin-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 92.60000000000001
verified: no, type: f1
value: 90.69
verified: no, type: precision
value: 89.84500000000001
verified: no, type: recall
value: 92.60000000000001
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (tha-eng)
config: tha-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.07299270072993
verified: no, type: f1
value: 93.64355231143554
verified: no, type: precision
value: 92.94403892944038
verified: no, type: recall
value: 95.07299270072993
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (wuu-eng)
config: wuu-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91.9
verified: no, type: f1
value: 89.61333333333333
verified: no, type: precision
value: 88.53333333333333
verified: no, type: recall
value: 91.9
verified: no, task: type: Clustering
dataset: type: C-MTEB/ThuNewsClusteringP2P
name: MTEB ThuNewsClusteringP2P
config: default
split: test
revision: None
metrics: type: v_measure
value: 64.68478289806511
verified: no, task: type: Clustering
dataset: type: C-MTEB/ThuNewsClusteringS2S
name: MTEB ThuNewsClusteringS2S
config: default
split: test
revision: None
metrics: type: v_measure
value: 57.53010296184097
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.519
verified: no, type: map_at_10
value: 10.31
verified: no, type: map_at_100
value: 16.027
verified: no, type: map_at_1000
value: 17.827
verified: no, type: map_at_3
value: 5.721
verified: no, type: map_at_5
value: 7.7829999999999995
verified: no, type: mrr_at_1
value: 34.694
verified: no, type: mrr_at_10
value: 52.642999999999994
verified: no, type: mrr_at_100
value: 53.366
verified: no, type: mrr_at_1000
value: 53.366
verified: no, type: mrr_at_3
value: 48.638999999999996
verified: no, type: mrr_at_5
value: 50.578
verified: no, type: ndcg_at_1
value: 31.633
verified: no, type: ndcg_at_10
value: 26.394000000000002
verified: no, type: ndcg_at_100
value: 36.41
verified: no, type: ndcg_at_1000
value: 49.206
verified: no, type: ndcg_at_3
value: 31.694
verified: no, type: ndcg_at_5
value: 29.529
verified: no, type: precision_at_1
value: 34.694
verified: no, type: precision_at_10
value: 23.469
verified: no, type: precision_at_100
value: 7.286
verified: no, type: precision_at_1000
value: 1.5610000000000002
verified: no, type: precision_at_3
value: 34.014
verified: no, type: precision_at_5
value: 29.796
verified: no, type: recall_at_1
value: 2.519
verified: no, type: recall_at_10
value: 17.091
verified: no, type: recall_at_100
value: 45.429
verified: no, type: recall_at_1000
value: 84.621
verified: no, type: recall_at_3
value: 7.208
verified: no, type: recall_at_5
value: 10.523
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 69.58659999999999
verified: no, type: ap
value: 14.735696532619
verified: no, type: f1
value: 54.23517220069903
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 63.723825693265425
verified: no, type: f1
value: 64.02405729449103
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 54.310161547491006
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: 88.77630088812064
verified: no, type: cos_sim_ap
value: 81.61725457333809
verified: no, type: cos_sim_f1
value: 74.91373801916932
verified: no, type: cos_sim_precision
value: 72.63940520446097
verified: no, type: cos_sim_recall
value: 77.33509234828496
verified: no, type: dot_accuracy
value: 88.77630088812064
verified: no, type: dot_ap
value: 81.61725317476251
verified: no, type: dot_f1
value: 74.91373801916932
verified: no, type: dot_precision
value: 72.63940520446097
verified: no, type: dot_recall
value: 77.33509234828496
verified: no, type: euclidean_accuracy
value: 88.77630088812064
verified: no, type: euclidean_ap
value: 81.61724596869566
verified: no, type: euclidean_f1
value: 74.91373801916932
verified: no, type: euclidean_precision
value: 72.63940520446097
verified: no, type: euclidean_recall
value: 77.33509234828496
verified: no, type: manhattan_accuracy
value: 88.67497168742922
verified: no, type: manhattan_ap
value: 81.430251048948
verified: no, type: manhattan_f1
value: 74.79593118171543
verified: no, type: manhattan_precision
value: 71.3635274382938
verified: no, type: manhattan_recall
value: 78.57519788918206
verified: no, type: max_accuracy
value: 88.77630088812064
verified: no, type: max_ap
value: 81.61725457333809
verified: no, type: max_f1
value: 74.91373801916932
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: 89.85136026700819
verified: no, type: cos_sim_ap
value: 87.74656687446567
verified: no, type: cos_sim_f1
value: 80.3221673073403
verified: no, type: cos_sim_precision
value: 76.56871640957633
verified: no, type: cos_sim_recall
value: 84.46258084385587
verified: no, type: dot_accuracy
value: 89.85136026700819
verified: no, type: dot_ap
value: 87.74656471395072
verified: no, type: dot_f1
value: 80.3221673073403
verified: no, type: dot_precision
value: 76.56871640957633
verified: no, type: dot_recall
value: 84.46258084385587
verified: no, type: euclidean_accuracy
value: 89.85136026700819
verified: no, type: euclidean_ap
value: 87.74656885754466
verified: no, type: euclidean_f1
value: 80.3221673073403
verified: no, type: euclidean_precision
value: 76.56871640957633
verified: no, type: euclidean_recall
value: 84.46258084385587
verified: no, type: manhattan_accuracy
value: 89.86300306593705
verified: no, type: manhattan_ap
value: 87.78807479093082
verified: no, type: manhattan_f1
value: 80.31663429471911
verified: no, type: manhattan_precision
value: 76.63472970137772
verified: no, type: manhattan_recall
value: 84.3701878657222
verified: no, type: max_accuracy
value: 89.86300306593705
verified: no, type: max_ap
value: 87.78807479093082
verified: no, type: max_f1
value: 80.3221673073403
verified: no, task: type: Retrieval
dataset: type: C-MTEB/VideoRetrieval
name: MTEB VideoRetrieval
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 32.4
verified: no, type: map_at_10
value: 40.961999999999996
verified: no, type: map_at_100
value: 41.660000000000004
verified: no, type: map_at_1000
value: 41.721000000000004
verified: no, type: map_at_3
value: 38.550000000000004
verified: no, type: map_at_5
value: 40.06
verified: no, type: mrr_at_1
value: 32.4
verified: no, type: mrr_at_10
value: 40.961999999999996
verified: no, type: mrr_at_100
value: 41.660000000000004
verified: no, type: mrr_at_1000
value: 41.721000000000004
verified: no, type: mrr_at_3
value: 38.550000000000004
verified: no, type: mrr_at_5
value: 40.06
verified: no, type: ndcg_at_1
value: 32.4
verified: no, type: ndcg_at_10
value: 45.388
verified: no, type: ndcg_at_100
value: 49.012
verified: no, type: ndcg_at_1000
value: 50.659
verified: no, type: ndcg_at_3
value: 40.47
verified: no, type: ndcg_at_5
value: 43.232
verified: no, type: precision_at_1
value: 32.4
verified: no, type: precision_at_10
value: 5.94
verified: no, type: precision_at_100
value: 0.769
verified: no, type: precision_at_1000
value: 0.09
verified: no, type: precision_at_3
value: 15.333
verified: no, type: precision_at_5
value: 10.56
verified: no, type: recall_at_1
value: 32.4
verified: no, type: recall_at_10
value: 59.4
verified: no, type: recall_at_100
value: 76.9
verified: no, type: recall_at_1000
value: 90
verified: no, type: recall_at_3
value: 46
verified: no, type: recall_at_5
value: 52.800000000000004
verified: no, task: type: Classification
dataset: type: C-MTEB/waimai-classification
name: MTEB Waimai
config: default
split: test
revision: None
metrics: type: accuracy
value: 86.94000000000001
verified: no, type: ap
value: 70.57373468481975
verified: no, type: f1
value: 85.26264784928323
verified: no
language: en
license: mit
Likes: 0 | All-time downloads: 144
Created: 2025-08-05 06:02:28