Model: ClayAtlas/winberta-base
Author: ClayAtlas
Tags: mteb, model-index, region:us
Card metadata: tags: mteb
model-index: name: winberta
results: task: type: Clustering
dataset: type: PL-MTEB/8tags-clustering
name: MTEB 8TagsClustering
config: default
split: test
revision: None
metrics: type: v_measure
value: 4.6762575299584555
verified: no, task: type: STS
dataset: type: C-MTEB/AFQMC
name: MTEB AFQMC
config: default
split: validation
revision: None
metrics: type: cos_sim_pearson
value: 39.92944665836267
verified: no, type: cos_sim_spearman
value: 44.25208147787637
verified: no, type: euclidean_pearson
value: 42.772842908404925
verified: no, type: euclidean_spearman
value: 44.25208147787637
verified: no, type: manhattan_pearson
value: 42.600565541302124
verified: no, type: manhattan_spearman
value: 44.10077657065955
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: 40.99236789888241
verified: no, type: cos_sim_spearman
value: 48.23930486989189
verified: no, type: euclidean_pearson
value: 48.58722571676781
verified: no, type: euclidean_spearman
value: 48.23930486989189
verified: no, type: manhattan_pearson
value: 48.46099247089918
verified: no, type: manhattan_spearman
value: 48.146434253428446
verified: no, task: type: Classification
dataset: type: PL-MTEB/allegro-reviews
name: MTEB AllegroReviews
config: default
split: test
revision: None
metrics: type: accuracy
value: 24.890656063618295
verified: no, type: f1
value: 22.302214664290936
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 69.91044776119402
verified: no, type: ap
value: 31.66723912472561
verified: no, type: f1
value: 63.421139457970746
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (de)
config: de
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 54.111349036402565
verified: no, type: ap
value: 71.1991959997261
verified: no, type: f1
value: 51.56958434326653
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: 70.38230884557721
verified: no, type: ap
value: 19.909214544678782
verified: no, type: f1
value: 57.875461279657294
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (ja)
config: ja
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 53.9507494646681
verified: no, type: ap
value: 11.599932987437649
verified: no, type: f1
value: 43.985879202841346
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 72.94987499999999
verified: no, type: ap
value: 67.05052265683933
verified: no, type: f1
value: 72.74508057235695
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: 39.681999999999995
verified: no, type: f1
value: 37.89870143785791
verified: no, task: type: Classification
dataset: type: DDSC/angry-tweets
name: MTEB AngryTweetsClassification
config: default
split: test
revision: 20b0e6081892e78179356fada741b7afa381443d
metrics: type: accuracy
value: 46.170009551098374
verified: no, type: f1
value: 45.00796485732147
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: 33.69909330263927
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: 23.04252711340139
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 53.987091172373944
verified: no, type: mrr
value: 67.65840038693224
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: 54.56093256747345
verified: no, type: cos_sim_spearman
value: 56.27367976851523
verified: no, type: euclidean_pearson
value: 55.38528627937832
verified: no, type: euclidean_spearman
value: 56.27367284031196
verified: no, type: manhattan_pearson
value: 55.30402898692059
verified: no, type: manhattan_spearman
value: 56.19811385550433
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: 9.384133611691023
verified: no, type: f1
value: 9.25678496868476
verified: no, type: precision
value: 9.204791728800078
verified: no, type: recall
value: 9.384133611691023
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: 17.719568567026194
verified: no, type: f1
value: 17.413603345806735
verified: no, type: precision
value: 17.284183459067894
verified: no, type: recall
value: 17.719568567026194
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: 52.70523034291652
verified: no, type: f1
value: 51.97355963514606
verified: no, type: precision
value: 51.642562994485395
verified: no, type: recall
value: 52.70523034291652
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: 89.0995260663507
verified: no, type: f1
value: 88.70458135860979
verified: no, type: precision
value: 88.5202738283307
verified: no, type: recall
value: 89.0995260663507
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 64.12337662337661
verified: no, type: f1
value: 62.35908261257942
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: 32.70437969303962
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: 23.27850834359782
verified: no, task: type: Clustering
dataset: type: slvnwhrl/blurbs-clustering-p2p
name: MTEB BlurbsClusteringP2P
config: default
split: test
revision: a2dd5b02a77de3466a3eaa98ae586b5610314496
metrics: type: v_measure
value: 17.471535040494018
verified: no, task: type: Clustering
dataset: type: slvnwhrl/blurbs-clustering-s2s
name: MTEB BlurbsClusteringS2S
config: default
split: test
revision: 9bfff9a7f8f6dc6ffc9da71c48dd48b68696471d
metrics: type: v_measure
value: 7.957798776861661
verified: no, task: type: Classification
dataset: type: PL-MTEB/cbd
name: MTEB CBD
config: default
split: test
revision: None
metrics: type: accuracy
value: 53.78000000000001
verified: no, type: ap
value: 16.030265142358818
verified: no, type: f1
value: 46.39936854646567
verified: no, task: type: PairClassification
dataset: type: PL-MTEB/cdsce-pairclassification
name: MTEB CDSC-E
config: default
split: test
revision: None
metrics: type: cos_sim_accuracy
value: 82.69999999999999
verified: no, type: cos_sim_ap
value: 43.50726455006939
verified: no, type: cos_sim_f1
value: 55.21472392638037
verified: no, type: cos_sim_precision
value: 45.1505016722408
verified: no, type: cos_sim_recall
value: 71.05263157894737
verified: no, type: dot_accuracy
value: 82.69999999999999
verified: no, type: dot_ap
value: 43.50726455006939
verified: no, type: dot_f1
value: 55.21472392638037
verified: no, type: dot_precision
value: 45.1505016722408
verified: no, type: dot_recall
value: 71.05263157894737
verified: no, type: euclidean_accuracy
value: 82.69999999999999
verified: no, type: euclidean_ap
value: 43.50726455006939
verified: no, type: euclidean_f1
value: 55.21472392638037
verified: no, type: euclidean_precision
value: 45.1505016722408
verified: no, type: euclidean_recall
value: 71.05263157894737
verified: no, type: manhattan_accuracy
value: 83.1
verified: no, type: manhattan_ap
value: 43.95534719205733
verified: no, type: manhattan_f1
value: 55.34351145038169
verified: no, type: manhattan_precision
value: 43.41317365269461
verified: no, type: manhattan_recall
value: 76.31578947368422
verified: no, type: max_accuracy
value: 83.1
verified: no, type: max_ap
value: 43.95534719205733
verified: no, type: max_f1
value: 55.34351145038169
verified: no, task: type: Clustering
dataset: type: C-MTEB/CLSClusteringP2P
name: MTEB CLSClusteringP2P
config: default
split: test
revision: None
metrics: type: v_measure
value: 42.20892953002924
verified: no, task: type: Clustering
dataset: type: C-MTEB/CLSClusteringS2S
name: MTEB CLSClusteringS2S
config: default
split: test
revision: None
metrics: type: v_measure
value: 40.33286164241634
verified: no, task: type: Reranking
dataset: type: C-MTEB/CMedQAv1-reranking
name: MTEB CMedQAv1
config: default
split: test
revision: None
metrics: type: map
value: 76.47170720756812
verified: no, type: mrr
value: 79.89289682539682
verified: no, task: type: Reranking
dataset: type: C-MTEB/CMedQAv2-reranking
name: MTEB CMedQAv2
config: default
split: test
revision: None
metrics: type: map
value: 77.43675520157939
verified: no, type: mrr
value: 81.11420634920636
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: 17.308
verified: no, type: map_at_10
value: 26.144000000000002
verified: no, type: map_at_100
value: 27.864
verified: no, type: map_at_1000
value: 28.032
verified: no, type: map_at_3
value: 23.058999999999997
verified: no, type: map_at_5
value: 24.724
verified: no, type: mrr_at_1
value: 27.206999999999997
verified: no, type: mrr_at_10
value: 34.287
verified: no, type: mrr_at_100
value: 35.375
verified: no, type: mrr_at_1000
value: 35.449999999999996
verified: no, type: mrr_at_3
value: 31.912000000000003
verified: no, type: mrr_at_5
value: 33.222
verified: no, type: ndcg_at_1
value: 27.206999999999997
verified: no, type: ndcg_at_10
value: 31.789
verified: no, type: ndcg_at_100
value: 39.251000000000005
verified: no, type: ndcg_at_1000
value: 42.536
verified: no, type: ndcg_at_3
value: 27.503
verified: no, type: ndcg_at_5
value: 29.226999999999997
verified: no, type: precision_at_1
value: 27.206999999999997
verified: no, type: precision_at_10
value: 7.3069999999999995
verified: no, type: precision_at_100
value: 1.345
verified: no, type: precision_at_1000
value: 0.17700000000000002
verified: no, type: precision_at_3
value: 15.854
verified: no, type: precision_at_5
value: 11.593
verified: no, type: recall_at_1
value: 17.308
verified: no, type: recall_at_10
value: 40.474
verified: no, type: recall_at_100
value: 71.897
verified: no, type: recall_at_1000
value: 94.375
verified: no, type: recall_at_3
value: 27.563
verified: no, type: recall_at_5
value: 32.944
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: 76.11545399879735
verified: no, type: cos_sim_ap
value: 84.09842598179311
verified: no, type: cos_sim_f1
value: 77.66760077602932
verified: no, type: cos_sim_precision
value: 72.04559088182364
verified: no, type: cos_sim_recall
value: 84.24129062426935
verified: no, type: dot_accuracy
value: 76.11545399879735
verified: no, type: dot_ap
value: 84.11185112340806
verified: no, type: dot_f1
value: 77.66760077602932
verified: no, type: dot_precision
value: 72.04559088182364
verified: no, type: dot_recall
value: 84.24129062426935
verified: no, type: euclidean_accuracy
value: 76.11545399879735
verified: no, type: euclidean_ap
value: 84.09842259671359
verified: no, type: euclidean_f1
value: 77.66760077602932
verified: no, type: euclidean_precision
value: 72.04559088182364
verified: no, type: euclidean_recall
value: 84.24129062426935
verified: no, type: manhattan_accuracy
value: 76.12748045700542
verified: no, type: manhattan_ap
value: 84.07246090513767
verified: no, type: manhattan_f1
value: 77.41864555848726
verified: no, type: manhattan_precision
value: 73.064951234696
verified: no, type: manhattan_recall
value: 82.3240589198036
verified: no, type: max_accuracy
value: 76.12748045700542
verified: no, type: max_ap
value: 84.11185112340806
verified: no, type: max_f1
value: 77.66760077602932
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: 53.266999999999996
verified: no, type: map_at_10
value: 61.807
verified: no, type: map_at_100
value: 62.342
verified: no, type: map_at_1000
value: 62.36000000000001
verified: no, type: map_at_3
value: 59.255
verified: no, type: map_at_5
value: 60.757000000000005
verified: no, type: mrr_at_1
value: 53.21399999999999
verified: no, type: mrr_at_10
value: 61.760999999999996
verified: no, type: mrr_at_100
value: 62.283
verified: no, type: mrr_at_1000
value: 62.300999999999995
verified: no, type: mrr_at_3
value: 59.272999999999996
verified: no, type: mrr_at_5
value: 60.727
verified: no, type: ndcg_at_1
value: 53.319
verified: no, type: ndcg_at_10
value: 66.334
verified: no, type: ndcg_at_100
value: 69.128
verified: no, type: ndcg_at_1000
value: 69.651
verified: no, type: ndcg_at_3
value: 61.105
verified: no, type: ndcg_at_5
value: 63.806
verified: no, type: precision_at_1
value: 53.319
verified: no, type: precision_at_10
value: 8.145
verified: no, type: precision_at_100
value: 0.9530000000000001
verified: no, type: precision_at_1000
value: 0.099
verified: no, type: precision_at_3
value: 22.234
verified: no, type: precision_at_5
value: 14.668000000000001
verified: no, type: recall_at_1
value: 53.266999999999996
verified: no, type: recall_at_10
value: 80.717
verified: no, type: recall_at_100
value: 94.204
verified: no, type: recall_at_1000
value: 98.419
verified: no, type: recall_at_3
value: 66.359
verified: no, type: recall_at_5
value: 72.94500000000001
verified: no, task: type: Classification
dataset: type: DDSC/dkhate
name: MTEB DKHateClassification
config: default
split: test
revision: 59d12749a3c91a186063c7d729ec392fda94681c
metrics: type: accuracy
value: 55.89665653495442
verified: no, type: ap
value: 13.442306681200666
verified: no, type: f1
value: 45.52792790494033
verified: no, task: type: Classification
dataset: type: AI-Sweden/SuperLim
name: MTEB DalajClassification
config: default
split: test
revision: 7ebf0b4caa7b2ae39698a889de782c09e6f5ee56
metrics: type: accuracy
value: 49.77477477477478
verified: no, type: ap
value: 49.891019810950006
verified: no, type: f1
value: 49.271004191082156
verified: no, task: type: Classification
dataset: type: danish_political_comments
name: MTEB DanishPoliticalCommentsClassification
config: default
split: train
revision: edbb03726c04a0efab14fc8c3b8b79e4d420e5a1
metrics: type: accuracy
value: 28.334721065778517
verified: no, type: f1
value: 25.604541019064698
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: 21.575
verified: no, type: map_at_10
value: 65.302
verified: no, type: map_at_100
value: 68.85
verified: no, type: map_at_1000
value: 68.94200000000001
verified: no, type: map_at_3
value: 44.824000000000005
verified: no, type: map_at_5
value: 56.303000000000004
verified: no, type: mrr_at_1
value: 77.9
verified: no, type: mrr_at_10
value: 84.612
verified: no, type: mrr_at_100
value: 84.774
verified: no, type: mrr_at_1000
value: 84.78099999999999
verified: no, type: mrr_at_3
value: 84.05
verified: no, type: mrr_at_5
value: 84.42699999999999
verified: no, type: ndcg_at_1
value: 77.9
verified: no, type: ndcg_at_10
value: 75.247
verified: no, type: ndcg_at_100
value: 80.252
verified: no, type: ndcg_at_1000
value: 81.21000000000001
verified: no, type: ndcg_at_3
value: 73.664
verified: no, type: ndcg_at_5
value: 72.36200000000001
verified: no, type: precision_at_1
value: 77.9
verified: no, type: precision_at_10
value: 36.875
verified: no, type: precision_at_100
value: 4.607
verified: no, type: precision_at_1000
value: 0.483
verified: no, type: precision_at_3
value: 66.567
verified: no, type: precision_at_5
value: 55.97
verified: no, type: recall_at_1
value: 21.575
verified: no, type: recall_at_10
value: 77.268
verified: no, type: recall_at_100
value: 92.706
verified: no, type: recall_at_1000
value: 97.721
verified: no, type: recall_at_3
value: 48.42
verified: no, type: recall_at_5
value: 62.92
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: 41.199999999999996
verified: no, type: map_at_10
value: 52.12
verified: no, type: map_at_100
value: 52.878
verified: no, type: map_at_1000
value: 52.898
verified: no, type: map_at_3
value: 49.6
verified: no, type: map_at_5
value: 51.23
verified: no, type: mrr_at_1
value: 41.199999999999996
verified: no, type: mrr_at_10
value: 52.12
verified: no, type: mrr_at_100
value: 52.878
verified: no, type: mrr_at_1000
value: 52.898
verified: no, type: mrr_at_3
value: 49.6
verified: no, type: mrr_at_5
value: 51.23
verified: no, type: ndcg_at_1
value: 41.199999999999996
verified: no, type: ndcg_at_10
value: 57.321
verified: no, type: ndcg_at_100
value: 61.019
verified: no, type: ndcg_at_1000
value: 61.638000000000005
verified: no, type: ndcg_at_3
value: 52.20399999999999
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value: 47.410000000000004
verified: no, type: map_at_3
value: 45.533
verified: no, type: map_at_5
value: 46.248
verified: no, type: mrr_at_1
value: 41.5
verified: no, type: mrr_at_10
value: 46.853
verified: no, type: mrr_at_100
value: 47.443999999999996
verified: no, type: mrr_at_1000
value: 47.510000000000005
verified: no, type: mrr_at_3
value: 45.633
verified: no, type: mrr_at_5
value: 46.348
verified: no, type: ndcg_at_1
value: 41.3
verified: no, type: ndcg_at_10
value: 49.283
verified: no, type: ndcg_at_100
value: 52.602000000000004
verified: no, type: ndcg_at_1000
value: 54.556000000000004
verified: no, type: ndcg_at_3
value: 46.793
verified: no, type: ndcg_at_5
value: 48.075
verified: no, type: precision_at_1
value: 41.3
verified: no, type: precision_at_10
value: 5.72
verified: no, type: precision_at_100
value: 0.738
verified: no, type: precision_at_1000
value: 0.09
verified: no, type: precision_at_3
value: 16.8
verified: no, type: precision_at_5
value: 10.7
verified: no, type: recall_at_1
value: 41.3
verified: no, type: recall_at_10
value: 57.199999999999996
verified: no, type: recall_at_100
value: 73.8
verified: no, type: recall_at_1000
value: 89.60000000000001
verified: no, type: recall_at_3
value: 50.4
verified: no, type: recall_at_5
value: 53.5
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: 31.936450521634473
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: 28.047583673034808
verified: no, task: type: Classification
dataset: type: C-MTEB/MultilingualSentiment-classification
name: MTEB MultilingualSentiment
config: default
split: validation
revision: None
metrics: type: accuracy
value: 69.17
verified: no, type: f1
value: 68.72937085716812
verified: no, task: type: Classification
dataset: type: ScandEval/norec-mini
name: MTEB NoRecClassification
config: default
split: test
revision: 07b99ab3363c2e7f8f87015b01c21f4d9b917ce3
metrics: type: accuracy
value: 43.5302734375
verified: no, type: f1
value: 40.85343331953274
verified: no, task: type: Classification
dataset: type: NbAiLab/norwegian_parliament
name: MTEB NorwegianParliament
config: default
split: test
revision: f7393532774c66312378d30b197610b43d751972
metrics: type: accuracy
value: 54.900000000000006
verified: no, type: ap
value: 52.72583551130585
verified: no, type: f1
value: 54.72449827992906
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: 70.27612344342177
verified: no, type: cos_sim_ap
value: 73.44116481862304
verified: no, type: cos_sim_f1
value: 72.28607918263091
verified: no, type: cos_sim_precision
value: 60.556348074179745
verified: no, type: cos_sim_recall
value: 89.65153115100317
verified: no, type: dot_accuracy
value: 70.27612344342177
verified: no, type: dot_ap
value: 73.44116481862304
verified: no, type: dot_f1
value: 72.28607918263091
verified: no, type: dot_precision
value: 60.556348074179745
verified: no, type: dot_recall
value: 89.65153115100317
verified: no, type: euclidean_accuracy
value: 70.27612344342177
verified: no, type: euclidean_ap
value: 73.44116481862304
verified: no, type: euclidean_f1
value: 72.28607918263091
verified: no, type: euclidean_precision
value: 60.556348074179745
verified: no, type: euclidean_recall
value: 89.65153115100317
verified: no, type: manhattan_accuracy
value: 70.38440714672441
verified: no, type: manhattan_ap
value: 73.46922542436253
verified: no, type: manhattan_f1
value: 72.38838318162117
verified: no, type: manhattan_precision
value: 61.39705882352941
verified: no, type: manhattan_recall
value: 88.17317845828934
verified: no, type: max_accuracy
value: 70.38440714672441
verified: no, type: max_ap
value: 73.46922542436253
verified: no, type: max_f1
value: 72.38838318162117
verified: no, task: type: Classification
dataset: type: C-MTEB/OnlineShopping-classification
name: MTEB OnlineShopping
config: default
split: test
revision: None
metrics: type: accuracy
value: 89.79000000000002
verified: no, type: ap
value: 87.04275277120101
verified: no, type: f1
value: 89.77446550482388
verified: no, task: type: Classification
dataset: type: laugustyniak/abusive-clauses-pl
name: MTEB PAC
config: default
split: test
revision: None
metrics: type: accuracy
value: 57.138719953663475
verified: no, type: ap
value: 72.7490265036156
verified: no, type: f1
value: 55.67596841902006
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: 11.928849138540556
verified: no, type: cos_sim_spearman
value: 12.182908575820269
verified: no, type: euclidean_pearson
value: 14.455528347393356
verified: no, type: euclidean_spearman
value: 12.182908575820269
verified: no, type: manhattan_pearson
value: 14.506141564058982
verified: no, type: manhattan_spearman
value: 12.25397844569351
verified: no, task: type: PairClassification
dataset: type: PL-MTEB/ppc-pairclassification
name: MTEB PPC
config: default
split: test
revision: None
metrics: type: cos_sim_accuracy
value: 67
verified: no, type: cos_sim_ap
value: 70.19022218012687
verified: no, type: cos_sim_f1
value: 75.44529262086515
verified: no, type: cos_sim_precision
value: 61.2603305785124
verified: no, type: cos_sim_recall
value: 98.17880794701986
verified: no, type: dot_accuracy
value: 67
verified: no, type: dot_ap
value: 70.19022218012687
verified: no, type: dot_f1
value: 75.44529262086515
verified: no, type: dot_precision
value: 61.2603305785124
verified: no, type: dot_recall
value: 98.17880794701986
verified: no, type: euclidean_accuracy
value: 67
verified: no, type: euclidean_ap
value: 70.19022218012687
verified: no, type: euclidean_f1
value: 75.44529262086515
verified: no, type: euclidean_precision
value: 61.2603305785124
verified: no, type: euclidean_recall
value: 98.17880794701986
verified: no, type: manhattan_accuracy
value: 66.7
verified: no, type: manhattan_ap
value: 70.20851258919818
verified: no, type: manhattan_f1
value: 75.40574282147317
verified: no, type: manhattan_precision
value: 60.52104208416834
verified: no, type: manhattan_recall
value: 100
verified: no, type: max_accuracy
value: 67
verified: no, type: max_ap
value: 70.20851258919818
verified: no, type: max_f1
value: 75.44529262086515
verified: no, task: type: PairClassification
dataset: type: PL-MTEB/psc-pairclassification
name: MTEB PSC
config: default
split: test
revision: None
metrics: type: cos_sim_accuracy
value: 83.20964749536178
verified: no, type: cos_sim_ap
value: 77.83239751517948
verified: no, type: cos_sim_f1
value: 70.17045454545455
verified: no, type: cos_sim_precision
value: 65.69148936170212
verified: no, type: cos_sim_recall
value: 75.3048780487805
verified: no, type: dot_accuracy
value: 83.20964749536178
verified: no, type: dot_ap
value: 77.83239751517948
verified: no, type: dot_f1
value: 70.17045454545455
verified: no, type: dot_precision
value: 65.69148936170212
verified: no, type: dot_recall
value: 75.3048780487805
verified: no, type: euclidean_accuracy
value: 83.20964749536178
verified: no, type: euclidean_ap
value: 77.83239751517948
verified: no, type: euclidean_f1
value: 70.17045454545455
verified: no, type: euclidean_precision
value: 65.69148936170212
verified: no, type: euclidean_recall
value: 75.3048780487805
verified: no, type: manhattan_accuracy
value: 82.74582560296847
verified: no, type: manhattan_ap
value: 77.71434418573791
verified: no, type: manhattan_f1
value: 69.89720998531571
verified: no, type: manhattan_precision
value: 67.42209631728045
verified: no, type: manhattan_recall
value: 72.5609756097561
verified: no, type: max_accuracy
value: 83.20964749536178
verified: no, type: max_ap
value: 77.83239751517948
verified: no, type: max_f1
value: 70.17045454545455
verified: no, task: type: Classification
dataset: type: PL-MTEB/polemo2_in
name: MTEB PolEmo2.0-IN
config: default
split: test
revision: None
metrics: type: accuracy
value: 40.96952908587258
verified: no, type: f1
value: 40.34996985581621
verified: no, task: type: Classification
dataset: type: PL-MTEB/polemo2_out
name: MTEB PolEmo2.0-OUT
config: default
split: test
revision: None
metrics: type: accuracy
value: 17.57085020242915
verified: no, type: f1
value: 13.699227854176883
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: 28.3302552745107
verified: no, type: cos_sim_spearman
value: 29.935415470590353
verified: no, type: euclidean_pearson
value: 28.406125326818536
verified: no, type: euclidean_spearman
value: 29.935394196825893
verified: no, type: manhattan_pearson
value: 28.535226539445524
verified: no, type: manhattan_spearman
value: 30.110291572017182
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 30.831283224792134
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: 46.29339268141013
verified: no, task: type: PairClassification
dataset: type: PL-MTEB/sicke-pl-pairclassification
name: MTEB SICK-E-PL
config: default
split: test
revision: None
metrics: type: cos_sim_accuracy
value: 73.11455360782715
verified: no, type: cos_sim_ap
value: 46.51191750197438
verified: no, type: cos_sim_f1
value: 53.48066298342542
verified: no, type: cos_sim_precision
value: 43.682310469314075
verified: no, type: cos_sim_recall
value: 68.94586894586895
verified: no, type: dot_accuracy
value: 73.11455360782715
verified: no, type: dot_ap
value: 46.511775041787075
verified: no, type: dot_f1
value: 53.48066298342542
verified: no, type: dot_precision
value: 43.682310469314075
verified: no, type: dot_recall
value: 68.94586894586895
verified: no, type: euclidean_accuracy
value: 73.11455360782715
verified: no, type: euclidean_ap
value: 46.51191750197438
verified: no, type: euclidean_f1
value: 53.48066298342542
verified: no, type: euclidean_precision
value: 43.682310469314075
verified: no, type: euclidean_recall
value: 68.94586894586895
verified: no, type: manhattan_accuracy
value: 73.11455360782715
verified: no, type: manhattan_ap
value: 46.514972647839905
verified: no, type: manhattan_f1
value: 53.430821147356575
verified: no, type: manhattan_precision
value: 44.1449814126394
verified: no, type: manhattan_recall
value: 67.66381766381767
verified: no, type: max_accuracy
value: 73.11455360782715
verified: no, type: max_ap
value: 46.514972647839905
verified: no, type: max_f1
value: 53.48066298342542
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: 65.06521909332356
verified: no, type: cos_sim_spearman
value: 66.05535986394263
verified: no, type: euclidean_pearson
value: 65.77030042276493
verified: no, type: euclidean_spearman
value: 66.05535986394263
verified: no, type: manhattan_pearson
value: 65.91869122430603
verified: no, type: manhattan_spearman
value: 66.15477943325074
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: 79.77776864632986
verified: no, type: cos_sim_spearman
value: 80.54295891407341
verified: no, type: euclidean_pearson
value: 80.15310049503712
verified: no, type: euclidean_spearman
value: 80.54295891407341
verified: no, type: manhattan_pearson
value: 80.16703044389185
verified: no, type: manhattan_spearman
value: 80.61034669195091
verified: no, task: type: Classification
dataset: type: ScandEval/scala-da
name: MTEB ScalaDaClassification
config: default
split: test
revision: 1de08520a7b361e92ffa2a2201ebd41942c54675
metrics: type: accuracy
value: 50.1123046875
verified: no, type: ap
value: 50.05839950666221
verified: no, type: f1
value: 49.75320900875982
verified: no, task: type: Classification
dataset: type: ScandEval/scala-sv
name: MTEB ScalaSvClassification
config: default
split: test
revision: 1b48e3dcb02872335ff985ff938a054a4ed99008
metrics: type: accuracy
value: 49.8193359375
verified: no, type: ap
value: 49.91266630748165
verified: no, type: f1
value: 49.56571584707715
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: 99.71188118811881
verified: no, type: cos_sim_ap
value: 90.71339192859018
verified: no, type: cos_sim_f1
value: 85.26740665993945
verified: no, type: cos_sim_precision
value: 86.0488798370672
verified: no, type: cos_sim_recall
value: 84.5
verified: no, type: dot_accuracy
value: 99.71188118811881
verified: no, type: dot_ap
value: 90.71339192859018
verified: no, type: dot_f1
value: 85.26740665993945
verified: no, type: dot_precision
value: 86.0488798370672
verified: no, type: dot_recall
value: 84.5
verified: no, type: euclidean_accuracy
value: 99.71188118811881
verified: no, type: euclidean_ap
value: 90.71339192859018
verified: no, type: euclidean_f1
value: 85.26740665993945
verified: no, type: euclidean_precision
value: 86.0488798370672
verified: no, type: euclidean_recall
value: 84.5
verified: no, type: manhattan_accuracy
value: 99.71881188118812
verified: no, type: manhattan_ap
value: 91.25511397395691
verified: no, type: manhattan_f1
value: 85.48548548548548
verified: no, type: manhattan_precision
value: 85.57114228456913
verified: no, type: manhattan_recall
value: 85.39999999999999
verified: no, type: max_accuracy
value: 99.71881188118812
verified: no, type: max_ap
value: 91.25511397395691
verified: no, type: max_f1
value: 85.48548548548548
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 39.44467533846411
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: 32.60878918655969
verified: no, task: type: Classification
dataset: type: ScandEval/swerec-mini
name: MTEB SweRecClassification
config: default
split: test
revision: 3c62f26bafdc4c4e1c16401ad4b32f0a94b46612
metrics: type: accuracy
value: 62.9736328125
verified: no, type: f1
value: 55.59659753835253
verified: no, task: type: Reranking
dataset: type: C-MTEB/T2Reranking
name: MTEB T2Reranking
config: default
split: dev
revision: None
metrics: type: map
value: 67.18460327564007
verified: no, type: mrr
value: 77.58419442026417
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: 24.196
verified: no, type: map_at_10
value: 66.633
verified: no, type: map_at_100
value: 70.417
verified: no, type: map_at_1000
value: 70.54
verified: no, type: map_at_3
value: 47.166999999999994
verified: no, type: map_at_5
value: 57.711
verified: no, type: mrr_at_1
value: 83.947
verified: no, type: mrr_at_10
value: 87.47500000000001
verified: no, type: mrr_at_100
value: 87.62100000000001
verified: no, type: mrr_at_1000
value: 87.628
verified: no, type: mrr_at_3
value: 86.813
verified: no, type: mrr_at_5
value: 87.202
verified: no, type: ndcg_at_1
value: 83.943
verified: no, type: ndcg_at_10
value: 75.936
verified: no, type: ndcg_at_100
value: 80.73700000000001
verified: no, type: ndcg_at_1000
value: 81.989
verified: no, type: ndcg_at_3
value: 78.417
verified: no, type: ndcg_at_5
value: 76.301
verified: no, type: precision_at_1
value: 83.943
verified: no, type: precision_at_10
value: 37.984
verified: no, type: precision_at_100
value: 4.772
verified: no, type: precision_at_1000
value: 0.507
verified: no, type: precision_at_3
value: 68.911
verified: no, type: precision_at_5
value: 57.267
verified: no, type: recall_at_1
value: 24.196
verified: no, type: recall_at_10
value: 74.67099999999999
verified: no, type: recall_at_100
value: 90.18599999999999
verified: no, type: recall_at_1000
value: 96.54700000000001
verified: no, type: recall_at_3
value: 49.217
verified: no, type: recall_at_5
value: 61.765
verified: no, task: type: Classification
dataset: type: C-MTEB/TNews-classification
name: MTEB TNews
config: default
split: validation
revision: None
metrics: type: accuracy
value: 49.769
verified: no, type: f1
value: 48.06519294990893
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: 20.4
verified: no, type: f1
value: 15.828455908556528
verified: no, type: precision
value: 14.818339585714199
verified: no, type: recall
value: 20.4
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: 26.589595375722542
verified: no, type: f1
value: 19.027433709514636
verified: no, type: precision
value: 17.053635189473336
verified: no, type: recall
value: 26.589595375722542
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: 8.780487804878048
verified: no, type: f1
value: 6.111094140071713
verified: no, type: precision
value: 5.623318968152088
verified: no, type: recall
value: 8.780487804878048
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: 12.4
verified: no, type: f1
value: 9.377654588051435
verified: no, type: precision
value: 8.787308104062777
verified: no, type: recall
value: 12.4
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: 23
verified: no, type: f1
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verified: no, type: precision
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value: 17.735908011498562
verified: no, type: precision
value: 16.31534545023977
verified: no, type: recall
value: 23.62204724409449
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: 19.400000000000002
verified: no, type: f1
value: 16.688139723374675
verified: no, type: precision
value: 16.0446811984312
verified: no, type: recall
value: 19.400000000000002
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: 19.390581717451525
verified: no, type: f1
value: 15.330085364864166
verified: no, type: precision
value: 14.23910323480727
verified: no, type: recall
value: 19.390581717451525
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: 14.899999999999999
verified: no, type: f1
value: 11.89041342121772
verified: no, type: precision
value: 11.273006536745667
verified: no, type: recall
value: 14.899999999999999
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: 24.03846153846154
verified: no, type: f1
value: 20.606022267206477
verified: no, type: precision
value: 19.935897435897438
verified: no, type: recall
value: 24.03846153846154
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: 29.599999999999998
verified: no, type: f1
value: 24.793469753676277
verified: no, type: precision
value: 23.43004941257573
verified: no, type: recall
value: 29.599999999999998
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: 24.6
verified: no, type: f1
value: 19.561599234099237
verified: no, type: precision
value: 18.231733884473016
verified: no, type: recall
value: 24.6
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: 53.800000000000004
verified: no, type: f1
value: 48.1892730115302
verified: no, type: precision
value: 46.16164682539682
verified: no, type: recall
value: 53.800000000000004
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: 3.6556603773584904
verified: no, type: f1
value: 2.2631181434426764
verified: no, type: precision
value: 2.082608234687079
verified: no, type: recall
value: 3.6556603773584904
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: 16
verified: no, type: f1
value: 13.533088016975684
verified: no, type: precision
value: 12.965331925224502
verified: no, type: recall
value: 16
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: 65.69343065693431
verified: no, type: f1
value: 60.208146297669686
verified: no, type: precision
value: 58.18983631939836
verified: no, type: recall
value: 65.69343065693431
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: 78.2
verified: no, type: f1
value: 73.25492063492062
verified: no, type: precision
value: 71.14833333333334
verified: no, type: recall
value: 78.2
verified: no, task: type: Clustering
dataset: type: slvnwhrl/tenkgnad-clustering-p2p
name: MTEB TenKGnadClusteringP2P
config: default
split: test
revision: 5c59e41555244b7e45c9a6be2d720ab4bafae558
metrics: type: v_measure
value: 29.791089429037896
verified: no, task: type: Clustering
dataset: type: slvnwhrl/tenkgnad-clustering-s2s
name: MTEB TenKGnadClusteringS2S
config: default
split: test
revision: 6cddbe003f12b9b140aec477b583ac4191f01786
metrics: type: v_measure
value: 11.270010272065322
verified: no, task: type: Clustering
dataset: type: C-MTEB/ThuNewsClusteringP2P
name: MTEB ThuNewsClusteringP2P
config: default
split: test
revision: None
metrics: type: v_measure
value: 55.805739403705914
verified: no, task: type: Clustering
dataset: type: C-MTEB/ThuNewsClusteringS2S
name: MTEB ThuNewsClusteringS2S
config: default
split: test
revision: None
metrics: type: v_measure
value: 50.50265410416623
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 65.6482
verified: no, type: ap
value: 11.625197643165249
verified: no, type: f1
value: 50.23643212069197
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 57.41086587436334
verified: no, type: f1
value: 57.58586420979367
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 26.543120146469633
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: 81.49848006198962
verified: no, type: cos_sim_ap
value: 58.06838035805121
verified: no, type: cos_sim_f1
value: 55.897019598747534
verified: no, type: cos_sim_precision
value: 49.86550796606662
verified: no, type: cos_sim_recall
value: 63.58839050131926
verified: no, type: dot_accuracy
value: 81.49848006198962
verified: no, type: dot_ap
value: 58.06837481847699
verified: no, type: dot_f1
value: 55.897019598747534
verified: no, type: dot_precision
value: 49.86550796606662
verified: no, type: dot_recall
value: 63.58839050131926
verified: no, type: euclidean_accuracy
value: 81.49848006198962
verified: no, type: euclidean_ap
value: 58.06838167667462
verified: no, type: euclidean_f1
value: 55.897019598747534
verified: no, type: euclidean_precision
value: 49.86550796606662
verified: no, type: euclidean_recall
value: 63.58839050131926
verified: no, type: manhattan_accuracy
value: 81.43291410860107
verified: no, type: manhattan_ap
value: 57.83294460595276
verified: no, type: manhattan_f1
value: 55.628827131417815
verified: no, type: manhattan_precision
value: 50.233943002977455
verified: no, type: manhattan_recall
value: 62.321899736147756
verified: no, type: max_accuracy
value: 81.49848006198962
verified: no, type: max_ap
value: 58.06838167667462
verified: no, type: max_f1
value: 55.897019598747534
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: 87.24725423991929
verified: no, type: cos_sim_ap
value: 82.09462792672173
verified: no, type: cos_sim_f1
value: 74.30311032863851
verified: no, type: cos_sim_precision
value: 70.95124684785654
verified: no, type: cos_sim_recall
value: 77.98737295965506
verified: no, type: dot_accuracy
value: 87.24725423991929
verified: no, type: dot_ap
value: 82.0946313711965
verified: no, type: dot_f1
value: 74.30311032863851
verified: no, type: dot_precision
value: 70.95124684785654
verified: no, type: dot_recall
value: 77.98737295965506
verified: no, type: euclidean_accuracy
value: 87.24725423991929
verified: no, type: euclidean_ap
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verified: no, type: euclidean_f1
value: 74.30311032863851
verified: no, type: euclidean_precision
value: 70.95124684785654
verified: no, type: euclidean_recall
value: 77.98737295965506
verified: no, type: manhattan_accuracy
value: 87.30934916753988
verified: no, type: manhattan_ap
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verified: no, type: manhattan_f1
value: 74.5143604081188
verified: no, type: manhattan_precision
value: 70.50779907922765
verified: no, type: manhattan_recall
value: 79.00369571912535
verified: no, type: max_accuracy
value: 87.30934916753988
verified: no, type: max_ap
value: 82.22847590036976
verified: no, type: max_f1
value: 74.5143604081188
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: 44.800000000000004
verified: no, type: map_at_10
value: 54.806
verified: no, type: map_at_100
value: 55.477
verified: no, type: map_at_1000
value: 55.498999999999995
verified: no, type: map_at_3
value: 52.333
verified: no, type: map_at_5
value: 53.933
verified: no, type: mrr_at_1
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verified: no, type: mrr_at_10
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verified: no, type: mrr_at_100
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verified: no, type: mrr_at_1000
value: 55.498999999999995
verified: no, type: mrr_at_3
value: 52.333
verified: no, type: mrr_at_5
value: 53.933
verified: no, type: ndcg_at_1
value: 44.800000000000004
verified: no, type: ndcg_at_10
value: 59.75899999999999
verified: no, type: ndcg_at_100
value: 63.171
verified: no, type: ndcg_at_1000
value: 63.818
verified: no, type: ndcg_at_3
value: 54.790000000000006
verified: no, type: ndcg_at_5
value: 57.652
verified: no, type: precision_at_1
value: 44.800000000000004
verified: no, type: precision_at_10
value: 7.53
verified: no, type: precision_at_100
value: 0.9159999999999999
verified: no, type: precision_at_1000
value: 0.097
verified: no, type: precision_at_3
value: 20.633000000000003
verified: no, type: precision_at_5
value: 13.76
verified: no, type: recall_at_1
value: 44.800000000000004
verified: no, type: recall_at_10
value: 75.3
verified: no, type: recall_at_100
value: 91.60000000000001
verified: no, type: recall_at_1000
value: 96.8
verified: no, type: recall_at_3
value: 61.9
verified: no, type: recall_at_5
value: 68.8
verified: no, task: type: Classification
dataset: type: C-MTEB/waimai-classification
name: MTEB Waimai
config: default
split: test
revision: None
metrics: type: accuracy
value: 84.33999999999999
verified: no, type: ap
value: 65.75892461630445
verified: no, type: f1
value: 82.55845192469975
verified: no
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Created: 2023-12-01 06:13:33