Model: hajkis-glami/multilingual-e5-base-embeddings
Author: hajkis-glami
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, onnx, safetensors, openvino, xlm-roberta, mteb, Sentence Transformers, sentence-similarity, multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lo, lt, lv, mg, mk, ml, mn, mr, ms, my, ne, nl, no, om, or, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, so, sq, sr, su, sv, sw, ta, te, th, tl, tr, ug, uk, ur, uz, vi, xh, yi, zh, arxiv:2402.05672, arxiv:2108.08787, arxiv:2104.08663, arxiv:2210.07316, license:mit, model-index, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: tags: mteb, Sentence Transformers, sentence-similarity, sentence-transformers
model-index: name: multilingual-e5-base
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 78.97014925373135
verified: no, type: ap
value: 43.69351129103008
verified: no, type: f1
value: 73.38075030070492
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (de)
config: de
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 71.7237687366167
verified: no, type: ap
value: 82.22089859962671
verified: no, type: f1
value: 69.95532758884401
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: 79.65517241379312
verified: no, type: ap
value: 28.507918657094738
verified: no, type: f1
value: 66.84516013726119
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (ja)
config: ja
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 73.32976445396146
verified: no, type: ap
value: 20.720481637566014
verified: no, type: f1
value: 59.78002763416003
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 90.63775
verified: no, type: ap
value: 87.22277903861716
verified: no, type: f1
value: 90.60378636386807
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: 44.546
verified: no, type: f1
value: 44.05666638370923
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: 41.828
verified: no, type: f1
value: 41.2710255644252
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: 40.534
verified: no, type: f1
value: 39.820743174270326
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: 39.684
verified: no, type: f1
value: 39.11052682815307
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: 37.436
verified: no, type: f1
value: 37.07082931930871
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: 37.226000000000006
verified: no, type: f1
value: 36.65372077739185
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.831000000000003
verified: no, type: map_at_10
value: 36.42
verified: no, type: map_at_100
value: 37.699
verified: no, type: map_at_1000
value: 37.724000000000004
verified: no, type: map_at_3
value: 32.207
verified: no, type: map_at_5
value: 34.312
verified: no, type: mrr_at_1
value: 23.257
verified: no, type: mrr_at_10
value: 36.574
verified: no, type: mrr_at_100
value: 37.854
verified: no, type: mrr_at_1000
value: 37.878
verified: no, type: mrr_at_3
value: 32.385000000000005
verified: no, type: mrr_at_5
value: 34.48
verified: no, type: ndcg_at_1
value: 22.831000000000003
verified: no, type: ndcg_at_10
value: 44.230000000000004
verified: no, type: ndcg_at_100
value: 49.974000000000004
verified: no, type: ndcg_at_1000
value: 50.522999999999996
verified: no, type: ndcg_at_3
value: 35.363
verified: no, type: ndcg_at_5
value: 39.164
verified: no, type: precision_at_1
value: 22.831000000000003
verified: no, type: precision_at_10
value: 6.935
verified: no, type: precision_at_100
value: 0.9520000000000001
verified: no, type: precision_at_1000
value: 0.099
verified: no, type: precision_at_3
value: 14.841
verified: no, type: precision_at_5
value: 10.754
verified: no, type: recall_at_1
value: 22.831000000000003
verified: no, type: recall_at_10
value: 69.346
verified: no, type: recall_at_100
value: 95.235
verified: no, type: recall_at_1000
value: 99.36
verified: no, type: recall_at_3
value: 44.523
verified: no, type: recall_at_5
value: 53.769999999999996
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: 40.27789869854063
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: 35.41979463347428
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 58.22752045109304
verified: no, type: mrr
value: 71.51112430198303
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 84.71147646622866
verified: no, type: cos_sim_spearman
value: 85.059167046486
verified: no, type: euclidean_pearson
value: 75.88421613600647
verified: no, type: euclidean_spearman
value: 75.12821787150585
verified: no, type: manhattan_pearson
value: 75.22005646957604
verified: no, type: manhattan_spearman
value: 74.42880434453272
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: 99.23799582463465
verified: no, type: f1
value: 99.12665274878218
verified: no, type: precision
value: 99.07098121085595
verified: no, type: recall
value: 99.23799582463465
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: 97.88685890380806
verified: no, type: f1
value: 97.59336708489249
verified: no, type: precision
value: 97.44662117543473
verified: no, type: recall
value: 97.88685890380806
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: 97.47142362313821
verified: no, type: f1
value: 97.1989377670015
verified: no, type: precision
value: 97.06384944001847
verified: no, type: recall
value: 97.47142362313821
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: 98.4728804634018
verified: no, type: f1
value: 98.2973494821836
verified: no, type: precision
value: 98.2095839915745
verified: no, type: recall
value: 98.4728804634018
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 82.74025974025975
verified: no, type: f1
value: 82.67420447730439
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: 35.0380848063507
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: 29.45956405670166
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.122
verified: no, type: map_at_10
value: 42.03
verified: no, type: map_at_100
value: 43.364000000000004
verified: no, type: map_at_1000
value: 43.474000000000004
verified: no, type: map_at_3
value: 38.804
verified: no, type: map_at_5
value: 40.585
verified: no, type: mrr_at_1
value: 39.914
verified: no, type: mrr_at_10
value: 48.227
verified: no, type: mrr_at_100
value: 49.018
verified: no, type: mrr_at_1000
value: 49.064
verified: no, type: mrr_at_3
value: 45.994
verified: no, type: mrr_at_5
value: 47.396
verified: no, type: ndcg_at_1
value: 39.914
verified: no, type: ndcg_at_10
value: 47.825
verified: no, type: ndcg_at_100
value: 52.852
verified: no, type: ndcg_at_1000
value: 54.891
verified: no, type: ndcg_at_3
value: 43.517
verified: no, type: ndcg_at_5
value: 45.493
verified: no, type: precision_at_1
value: 39.914
verified: no, type: precision_at_10
value: 8.956
verified: no, type: precision_at_100
value: 1.388
verified: no, type: precision_at_1000
value: 0.182
verified: no, type: precision_at_3
value: 20.791999999999998
verified: no, type: precision_at_5
value: 14.821000000000002
verified: no, type: recall_at_1
value: 32.122
verified: no, type: recall_at_10
value: 58.294999999999995
verified: no, type: recall_at_100
value: 79.726
verified: no, type: recall_at_1000
value: 93.099
verified: no, type: recall_at_3
value: 45.017
verified: no, type: recall_at_5
value: 51.002
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 29.677999999999997
verified: no, type: map_at_10
value: 38.684000000000005
verified: no, type: map_at_100
value: 39.812999999999995
verified: no, type: map_at_1000
value: 39.945
verified: no, type: map_at_3
value: 35.831
verified: no, type: map_at_5
value: 37.446
verified: no, type: mrr_at_1
value: 37.771
verified: no, type: mrr_at_10
value: 44.936
verified: no, type: mrr_at_100
value: 45.583
verified: no, type: mrr_at_1000
value: 45.634
verified: no, type: mrr_at_3
value: 42.771
verified: no, type: mrr_at_5
value: 43.994
verified: no, type: ndcg_at_1
value: 37.771
verified: no, type: ndcg_at_10
value: 44.059
verified: no, type: ndcg_at_100
value: 48.192
verified: no, type: ndcg_at_1000
value: 50.375
verified: no, type: ndcg_at_3
value: 40.172000000000004
verified: no, type: ndcg_at_5
value: 41.899
verified: no, type: precision_at_1
value: 37.771
verified: no, type: precision_at_10
value: 8.286999999999999
verified: no, type: precision_at_100
value: 1.322
verified: no, type: precision_at_1000
value: 0.178
verified: no, type: precision_at_3
value: 19.406000000000002
verified: no, type: precision_at_5
value: 13.745
verified: no, type: recall_at_1
value: 29.677999999999997
verified: no, type: recall_at_10
value: 53.071
verified: no, type: recall_at_100
value: 70.812
verified: no, type: recall_at_1000
value: 84.841
verified: no, type: recall_at_3
value: 41.016000000000005
verified: no, type: recall_at_5
value: 46.22
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 42.675000000000004
verified: no, type: map_at_10
value: 53.93599999999999
verified: no, type: map_at_100
value: 54.806999999999995
verified: no, type: map_at_1000
value: 54.867
verified: no, type: map_at_3
value: 50.934000000000005
verified: no, type: map_at_5
value: 52.583
verified: no, type: mrr_at_1
value: 48.339
verified: no, type: mrr_at_10
value: 57.265
verified: no, type: mrr_at_100
value: 57.873
verified: no, type: mrr_at_1000
value: 57.906
verified: no, type: mrr_at_3
value: 55.193000000000005
verified: no, type: mrr_at_5
value: 56.303000000000004
verified: no, type: ndcg_at_1
value: 48.339
verified: no, type: ndcg_at_10
value: 59.19799999999999
verified: no, type: ndcg_at_100
value: 62.743
verified: no, type: ndcg_at_1000
value: 63.99399999999999
verified: no, type: ndcg_at_3
value: 54.367
verified: no, type: ndcg_at_5
value: 56.548
verified: no, type: precision_at_1
value: 48.339
verified: no, type: precision_at_10
value: 9.216000000000001
verified: no, type: precision_at_100
value: 1.1809999999999998
verified: no, type: precision_at_1000
value: 0.134
verified: no, type: precision_at_3
value: 23.72
verified: no, type: precision_at_5
value: 16.025
verified: no, type: recall_at_1
value: 42.675000000000004
verified: no, type: recall_at_10
value: 71.437
verified: no, type: recall_at_100
value: 86.803
verified: no, type: recall_at_1000
value: 95.581
verified: no, type: recall_at_3
value: 58.434
verified: no, type: recall_at_5
value: 63.754
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.518
verified: no, type: map_at_10
value: 30.648999999999997
verified: no, type: map_at_100
value: 31.508999999999997
verified: no, type: map_at_1000
value: 31.604
verified: no, type: map_at_3
value: 28.247
verified: no, type: map_at_5
value: 29.65
verified: no, type: mrr_at_1
value: 25.650000000000002
verified: no, type: mrr_at_10
value: 32.771
verified: no, type: mrr_at_100
value: 33.554
verified: no, type: mrr_at_1000
value: 33.629999999999995
verified: no, type: mrr_at_3
value: 30.433
verified: no, type: mrr_at_5
value: 31.812
verified: no, type: ndcg_at_1
value: 25.650000000000002
verified: no, type: ndcg_at_10
value: 34.929
verified: no, type: ndcg_at_100
value: 39.382
verified: no, type: ndcg_at_1000
value: 41.913
verified: no, type: ndcg_at_3
value: 30.292
verified: no, type: ndcg_at_5
value: 32.629999999999995
verified: no, type: precision_at_1
value: 25.650000000000002
verified: no, type: precision_at_10
value: 5.311
verified: no, type: precision_at_100
value: 0.792
verified: no, type: precision_at_1000
value: 0.105
verified: no, type: precision_at_3
value: 12.58
verified: no, type: precision_at_5
value: 8.994
verified: no, type: recall_at_1
value: 23.518
verified: no, type: recall_at_10
value: 46.19
verified: no, type: recall_at_100
value: 67.123
verified: no, type: recall_at_1000
value: 86.442
verified: no, type: recall_at_3
value: 33.678000000000004
verified: no, type: recall_at_5
value: 39.244
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 15.891
verified: no, type: map_at_10
value: 22.464000000000002
verified: no, type: map_at_100
value: 23.483
verified: no, type: map_at_1000
value: 23.613
verified: no, type: map_at_3
value: 20.080000000000002
verified: no, type: map_at_5
value: 21.526
verified: no, type: mrr_at_1
value: 20.025000000000002
verified: no, type: mrr_at_10
value: 26.712999999999997
verified: no, type: mrr_at_100
value: 27.650000000000002
verified: no, type: mrr_at_1000
value: 27.737000000000002
verified: no, type: mrr_at_3
value: 24.274
verified: no, type: mrr_at_5
value: 25.711000000000002
verified: no, type: ndcg_at_1
value: 20.025000000000002
verified: no, type: ndcg_at_10
value: 27.028999999999996
verified: no, type: ndcg_at_100
value: 32.064
verified: no, type: ndcg_at_1000
value: 35.188
verified: no, type: ndcg_at_3
value: 22.512999999999998
verified: no, type: ndcg_at_5
value: 24.89
verified: no, type: precision_at_1
value: 20.025000000000002
verified: no, type: precision_at_10
value: 4.776
verified: no, type: precision_at_100
value: 0.8500000000000001
verified: no, type: precision_at_1000
value: 0.125
verified: no, type: precision_at_3
value: 10.531
verified: no, type: precision_at_5
value: 7.811
verified: no, type: recall_at_1
value: 15.891
verified: no, type: recall_at_10
value: 37.261
verified: no, type: recall_at_100
value: 59.12
verified: no, type: recall_at_1000
value: 81.356
verified: no, type: recall_at_3
value: 24.741
verified: no, type: recall_at_5
value: 30.753999999999998
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.544
verified: no, type: map_at_10
value: 36.283
verified: no, type: map_at_100
value: 37.467
verified: no, type: map_at_1000
value: 37.574000000000005
verified: no, type: map_at_3
value: 33.528999999999996
verified: no, type: map_at_5
value: 35.028999999999996
verified: no, type: mrr_at_1
value: 34.166999999999994
verified: no, type: mrr_at_10
value: 41.866
verified: no, type: mrr_at_100
value: 42.666
verified: no, type: mrr_at_1000
value: 42.716
verified: no, type: mrr_at_3
value: 39.541
verified: no, type: mrr_at_5
value: 40.768
verified: no, type: ndcg_at_1
value: 34.166999999999994
verified: no, type: ndcg_at_10
value: 41.577
verified: no, type: ndcg_at_100
value: 46.687
verified: no, type: ndcg_at_1000
value: 48.967
verified: no, type: ndcg_at_3
value: 37.177
verified: no, type: ndcg_at_5
value: 39.097
verified: no, type: precision_at_1
value: 34.166999999999994
verified: no, type: precision_at_10
value: 7.420999999999999
verified: no, type: precision_at_100
value: 1.165
verified: no, type: precision_at_1000
value: 0.154
verified: no, type: precision_at_3
value: 17.291999999999998
verified: no, type: precision_at_5
value: 12.166
verified: no, type: recall_at_1
value: 27.544
verified: no, type: recall_at_10
value: 51.99399999999999
verified: no, type: recall_at_100
value: 73.738
verified: no, type: recall_at_1000
value: 89.33
verified: no, type: recall_at_3
value: 39.179
verified: no, type: recall_at_5
value: 44.385999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.661
verified: no, type: map_at_10
value: 35.475
verified: no, type: map_at_100
value: 36.626999999999995
verified: no, type: map_at_1000
value: 36.741
verified: no, type: map_at_3
value: 32.818000000000005
verified: no, type: map_at_5
value: 34.397
verified: no, type: mrr_at_1
value: 32.647999999999996
verified: no, type: mrr_at_10
value: 40.784
verified: no, type: mrr_at_100
value: 41.602
verified: no, type: mrr_at_1000
value: 41.661
verified: no, type: mrr_at_3
value: 38.68
verified: no, type: mrr_at_5
value: 39.838
verified: no, type: ndcg_at_1
value: 32.647999999999996
verified: no, type: ndcg_at_10
value: 40.697
verified: no, type: ndcg_at_100
value: 45.799
verified: no, type: ndcg_at_1000
value: 48.235
verified: no, type: ndcg_at_3
value: 36.516
verified: no, type: ndcg_at_5
value: 38.515
verified: no, type: precision_at_1
value: 32.647999999999996
verified: no, type: precision_at_10
value: 7.202999999999999
verified: no, type: precision_at_100
value: 1.1360000000000001
verified: no, type: precision_at_1000
value: 0.151
verified: no, type: precision_at_3
value: 17.314
verified: no, type: precision_at_5
value: 12.145999999999999
verified: no, type: recall_at_1
value: 26.661
verified: no, type: recall_at_10
value: 50.995000000000005
verified: no, type: recall_at_100
value: 73.065
verified: no, type: recall_at_1000
value: 89.781
verified: no, type: recall_at_3
value: 39.073
verified: no, type: recall_at_5
value: 44.395
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.946583333333333
verified: no, type: map_at_10
value: 33.79725
verified: no, type: map_at_100
value: 34.86408333333333
verified: no, type: map_at_1000
value: 34.9795
verified: no, type: map_at_3
value: 31.259999999999998
verified: no, type: map_at_5
value: 32.71541666666666
verified: no, type: mrr_at_1
value: 30.863749999999996
verified: no, type: mrr_at_10
value: 37.99183333333333
verified: no, type: mrr_at_100
value: 38.790499999999994
verified: no, type: mrr_at_1000
value: 38.85575000000001
verified: no, type: mrr_at_3
value: 35.82083333333333
verified: no, type: mrr_at_5
value: 37.07533333333333
verified: no, type: ndcg_at_1
value: 30.863749999999996
verified: no, type: ndcg_at_10
value: 38.52141666666667
verified: no, type: ndcg_at_100
value: 43.17966666666667
verified: no, type: ndcg_at_1000
value: 45.64608333333333
verified: no, type: ndcg_at_3
value: 34.333000000000006
verified: no, type: ndcg_at_5
value: 36.34975
verified: no, type: precision_at_1
value: 30.863749999999996
verified: no, type: precision_at_10
value: 6.598999999999999
verified: no, type: precision_at_100
value: 1.0502500000000001
verified: no, type: precision_at_1000
value: 0.14400000000000002
verified: no, type: precision_at_3
value: 15.557583333333334
verified: no, type: precision_at_5
value: 11.020000000000001
verified: no, type: recall_at_1
value: 25.946583333333333
verified: no, type: recall_at_10
value: 48.36991666666666
verified: no, type: recall_at_100
value: 69.02408333333334
verified: no, type: recall_at_1000
value: 86.43858333333331
verified: no, type: recall_at_3
value: 36.4965
verified: no, type: recall_at_5
value: 41.76258333333334
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.431
verified: no, type: map_at_10
value: 28.889
verified: no, type: map_at_100
value: 29.642000000000003
verified: no, type: map_at_1000
value: 29.742
verified: no, type: map_at_3
value: 26.998
verified: no, type: map_at_5
value: 28.172000000000004
verified: no, type: mrr_at_1
value: 25.307000000000002
verified: no, type: mrr_at_10
value: 31.763
verified: no, type: mrr_at_100
value: 32.443
verified: no, type: mrr_at_1000
value: 32.531
verified: no, type: mrr_at_3
value: 29.959000000000003
verified: no, type: mrr_at_5
value: 31.063000000000002
verified: no, type: ndcg_at_1
value: 25.307000000000002
verified: no, type: ndcg_at_10
value: 32.586999999999996
verified: no, type: ndcg_at_100
value: 36.5
verified: no, type: ndcg_at_1000
value: 39.133
verified: no, type: ndcg_at_3
value: 29.25
verified: no, type: ndcg_at_5
value: 31.023
verified: no, type: precision_at_1
value: 25.307000000000002
verified: no, type: precision_at_10
value: 4.954
verified: no, type: precision_at_100
value: 0.747
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 12.577
verified: no, type: precision_at_5
value: 8.741999999999999
verified: no, type: recall_at_1
value: 22.431
verified: no, type: recall_at_10
value: 41.134
verified: no, type: recall_at_100
value: 59.28600000000001
verified: no, type: recall_at_1000
value: 78.857
verified: no, type: recall_at_3
value: 31.926
verified: no, type: recall_at_5
value: 36.335
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.586
verified: no, type: map_at_10
value: 23.304
verified: no, type: map_at_100
value: 24.159
verified: no, type: map_at_1000
value: 24.281
verified: no, type: map_at_3
value: 21.316
verified: no, type: map_at_5
value: 22.383
verified: no, type: mrr_at_1
value: 21.645
verified: no, type: mrr_at_10
value: 27.365000000000002
verified: no, type: mrr_at_100
value: 28.108
verified: no, type: mrr_at_1000
value: 28.192
verified: no, type: mrr_at_3
value: 25.482
verified: no, type: mrr_at_5
value: 26.479999999999997
verified: no, type: ndcg_at_1
value: 21.645
verified: no, type: ndcg_at_10
value: 27.306
verified: no, type: ndcg_at_100
value: 31.496000000000002
verified: no, type: ndcg_at_1000
value: 34.53
verified: no, type: ndcg_at_3
value: 23.73
verified: no, type: ndcg_at_5
value: 25.294
verified: no, type: precision_at_1
value: 21.645
verified: no, type: precision_at_10
value: 4.797
verified: no, type: precision_at_100
value: 0.8059999999999999
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 10.850999999999999
verified: no, type: precision_at_5
value: 7.736
verified: no, type: recall_at_1
value: 17.586
verified: no, type: recall_at_10
value: 35.481
verified: no, type: recall_at_100
value: 54.534000000000006
verified: no, type: recall_at_1000
value: 76.456
verified: no, type: recall_at_3
value: 25.335
verified: no, type: recall_at_5
value: 29.473
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.095
verified: no, type: map_at_10
value: 32.374
verified: no, type: map_at_100
value: 33.537
verified: no, type: map_at_1000
value: 33.634
verified: no, type: map_at_3
value: 30.089
verified: no, type: map_at_5
value: 31.433
verified: no, type: mrr_at_1
value: 29.198
verified: no, type: mrr_at_10
value: 36.01
verified: no, type: mrr_at_100
value: 37.022
verified: no, type: mrr_at_1000
value: 37.083
verified: no, type: mrr_at_3
value: 33.94
verified: no, type: mrr_at_5
value: 35.148
verified: no, type: ndcg_at_1
value: 29.198
verified: no, type: ndcg_at_10
value: 36.729
verified: no, type: ndcg_at_100
value: 42.114000000000004
verified: no, type: ndcg_at_1000
value: 44.592
verified: no, type: ndcg_at_3
value: 32.644
verified: no, type: ndcg_at_5
value: 34.652
verified: no, type: precision_at_1
value: 29.198
verified: no, type: precision_at_10
value: 5.970000000000001
verified: no, type: precision_at_100
value: 0.967
verified: no, type: precision_at_1000
value: 0.129
verified: no, type: precision_at_3
value: 14.396999999999998
verified: no, type: precision_at_5
value: 10.093
verified: no, type: recall_at_1
value: 25.095
verified: no, type: recall_at_10
value: 46.392
verified: no, type: recall_at_100
value: 69.706
verified: no, type: recall_at_1000
value: 87.738
verified: no, type: recall_at_3
value: 35.303000000000004
verified: no, type: recall_at_5
value: 40.441
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.857999999999997
verified: no, type: map_at_10
value: 34.066
verified: no, type: map_at_100
value: 35.671
verified: no, type: map_at_1000
value: 35.881
verified: no, type: map_at_3
value: 31.304
verified: no, type: map_at_5
value: 32.885
verified: no, type: mrr_at_1
value: 32.411
verified: no, type: mrr_at_10
value: 38.987
verified: no, type: mrr_at_100
value: 39.894
verified: no, type: mrr_at_1000
value: 39.959
verified: no, type: mrr_at_3
value: 36.626999999999995
verified: no, type: mrr_at_5
value: 38.011
verified: no, type: ndcg_at_1
value: 32.411
verified: no, type: ndcg_at_10
value: 39.208
verified: no, type: ndcg_at_100
value: 44.626
verified: no, type: ndcg_at_1000
value: 47.43
verified: no, type: ndcg_at_3
value: 35.091
verified: no, type: ndcg_at_5
value: 37.119
verified: no, type: precision_at_1
value: 32.411
verified: no, type: precision_at_10
value: 7.51
verified: no, type: precision_at_100
value: 1.486
verified: no, type: precision_at_1000
value: 0.234
verified: no, type: precision_at_3
value: 16.14
verified: no, type: precision_at_5
value: 11.976
verified: no, type: recall_at_1
value: 26.857999999999997
verified: no, type: recall_at_10
value: 47.407
verified: no, type: recall_at_100
value: 72.236
verified: no, type: recall_at_1000
value: 90.77
verified: no, type: recall_at_3
value: 35.125
verified: no, type: recall_at_5
value: 40.522999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 21.3
verified: no, type: map_at_10
value: 27.412999999999997
verified: no, type: map_at_100
value: 28.29
verified: no, type: map_at_1000
value: 28.398
verified: no, type: map_at_3
value: 25.169999999999998
verified: no, type: map_at_5
value: 26.496
verified: no, type: mrr_at_1
value: 23.29
verified: no, type: mrr_at_10
value: 29.215000000000003
verified: no, type: mrr_at_100
value: 30.073
verified: no, type: mrr_at_1000
value: 30.156
verified: no, type: mrr_at_3
value: 26.956000000000003
verified: no, type: mrr_at_5
value: 28.38
verified: no, type: ndcg_at_1
value: 23.29
verified: no, type: ndcg_at_10
value: 31.113000000000003
verified: no, type: ndcg_at_100
value: 35.701
verified: no, type: ndcg_at_1000
value: 38.505
verified: no, type: ndcg_at_3
value: 26.727
verified: no, type: ndcg_at_5
value: 29.037000000000003
verified: no, type: precision_at_1
value: 23.29
verified: no, type: precision_at_10
value: 4.787
verified: no, type: precision_at_100
value: 0.763
verified: no, type: precision_at_1000
value: 0.11100000000000002
verified: no, type: precision_at_3
value: 11.091
verified: no, type: precision_at_5
value: 7.985
verified: no, type: recall_at_1
value: 21.3
verified: no, type: recall_at_10
value: 40.782000000000004
verified: no, type: recall_at_100
value: 62.13999999999999
verified: no, type: recall_at_1000
value: 83.012
verified: no, type: recall_at_3
value: 29.131
verified: no, type: recall_at_5
value: 34.624
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 9.631
verified: no, type: map_at_10
value: 16.634999999999998
verified: no, type: map_at_100
value: 18.23
verified: no, type: map_at_1000
value: 18.419
verified: no, type: map_at_3
value: 13.66
verified: no, type: map_at_5
value: 15.173
verified: no, type: mrr_at_1
value: 21.368000000000002
verified: no, type: mrr_at_10
value: 31.56
verified: no, type: mrr_at_100
value: 32.58
verified: no, type: mrr_at_1000
value: 32.633
verified: no, type: mrr_at_3
value: 28.241
verified: no, type: mrr_at_5
value: 30.225
verified: no, type: ndcg_at_1
value: 21.368000000000002
verified: no, type: ndcg_at_10
value: 23.855999999999998
verified: no, type: ndcg_at_100
value: 30.686999999999998
verified: no, type: ndcg_at_1000
value: 34.327000000000005
verified: no, type: ndcg_at_3
value: 18.781
verified: no, type: ndcg_at_5
value: 20.73
verified: no, type: precision_at_1
value: 21.368000000000002
verified: no, type: precision_at_10
value: 7.564
verified: no, type: precision_at_100
value: 1.496
verified: no, type: precision_at_1000
value: 0.217
verified: no, type: precision_at_3
value: 13.876
verified: no, type: precision_at_5
value: 11.062
verified: no, type: recall_at_1
value: 9.631
verified: no, type: recall_at_10
value: 29.517
verified: no, type: recall_at_100
value: 53.452
verified: no, type: recall_at_1000
value: 74.115
verified: no, type: recall_at_3
value: 17.605999999999998
verified: no, type: recall_at_5
value: 22.505
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 8.885
verified: no, type: map_at_10
value: 18.798000000000002
verified: no, type: map_at_100
value: 26.316
verified: no, type: map_at_1000
value: 27.869
verified: no, type: map_at_3
value: 13.719000000000001
verified: no, type: map_at_5
value: 15.716
verified: no, type: mrr_at_1
value: 66
verified: no, type: mrr_at_10
value: 74.263
verified: no, type: mrr_at_100
value: 74.519
verified: no, type: mrr_at_1000
value: 74.531
verified: no, type: mrr_at_3
value: 72.458
verified: no, type: mrr_at_5
value: 73.321
verified: no, type: ndcg_at_1
value: 53.87499999999999
verified: no, type: ndcg_at_10
value: 40.355999999999995
verified: no, type: ndcg_at_100
value: 44.366
verified: no, type: ndcg_at_1000
value: 51.771
verified: no, type: ndcg_at_3
value: 45.195
verified: no, type: ndcg_at_5
value: 42.187000000000005
verified: no, type: precision_at_1
value: 66
verified: no, type: precision_at_10
value: 31.75
verified: no, type: precision_at_100
value: 10.11
verified: no, type: precision_at_1000
value: 1.9800000000000002
verified: no, type: precision_at_3
value: 48.167
verified: no, type: precision_at_5
value: 40.050000000000004
verified: no, type: recall_at_1
value: 8.885
verified: no, type: recall_at_10
value: 24.471999999999998
verified: no, type: recall_at_100
value: 49.669000000000004
verified: no, type: recall_at_1000
value: 73.383
verified: no, type: recall_at_3
value: 14.872
verified: no, type: recall_at_5
value: 18.262999999999998
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 45.18
verified: no, type: f1
value: 40.26878691789978
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 62.751999999999995
verified: no, type: map_at_10
value: 74.131
verified: no, type: map_at_100
value: 74.407
verified: no, type: map_at_1000
value: 74.423
verified: no, type: map_at_3
value: 72.329
verified: no, type: map_at_5
value: 73.555
verified: no, type: mrr_at_1
value: 67.282
verified: no, type: mrr_at_10
value: 78.292
verified: no, type: mrr_at_100
value: 78.455
verified: no, type: mrr_at_1000
value: 78.458
verified: no, type: mrr_at_3
value: 76.755
verified: no, type: mrr_at_5
value: 77.839
verified: no, type: ndcg_at_1
value: 67.282
verified: no, type: ndcg_at_10
value: 79.443
verified: no, type: ndcg_at_100
value: 80.529
verified: no, type: ndcg_at_1000
value: 80.812
verified: no, type: ndcg_at_3
value: 76.281
verified: no, type: ndcg_at_5
value: 78.235
verified: no, type: precision_at_1
value: 67.282
verified: no, type: precision_at_10
value: 10.078
verified: no, type: precision_at_100
value: 1.082
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 30.178
verified: no, type: precision_at_5
value: 19.232
verified: no, type: recall_at_1
value: 62.751999999999995
verified: no, type: recall_at_10
value: 91.521
verified: no, type: recall_at_100
value: 95.997
verified: no, type: recall_at_1000
value: 97.775
verified: no, type: recall_at_3
value: 83.131
verified: no, type: recall_at_5
value: 87.93299999999999
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 18.861
verified: no, type: map_at_10
value: 30.252000000000002
verified: no, type: map_at_100
value: 32.082
verified: no, type: map_at_1000
value: 32.261
verified: no, type: map_at_3
value: 25.909
verified: no, type: map_at_5
value: 28.296
verified: no, type: mrr_at_1
value: 37.346000000000004
verified: no, type: mrr_at_10
value: 45.802
verified: no, type: mrr_at_100
value: 46.611999999999995
verified: no, type: mrr_at_1000
value: 46.659
verified: no, type: mrr_at_3
value: 43.056
verified: no, type: mrr_at_5
value: 44.637
verified: no, type: ndcg_at_1
value: 37.346000000000004
verified: no, type: ndcg_at_10
value: 38.169
verified: no, type: ndcg_at_100
value: 44.864
verified: no, type: ndcg_at_1000
value: 47.974
verified: no, type: ndcg_at_3
value: 33.619
verified: no, type: ndcg_at_5
value: 35.317
verified: no, type: precision_at_1
value: 37.346000000000004
verified: no, type: precision_at_10
value: 10.693999999999999
verified: no, type: precision_at_100
value: 1.775
verified: no, type: precision_at_1000
value: 0.231
verified: no, type: precision_at_3
value: 22.325
verified: no, type: precision_at_5
value: 16.852
verified: no, type: recall_at_1
value: 18.861
verified: no, type: recall_at_10
value: 45.672000000000004
verified: no, type: recall_at_100
value: 70.60499999999999
verified: no, type: recall_at_1000
value: 89.216
verified: no, type: recall_at_3
value: 30.361
verified: no, type: recall_at_5
value: 36.998999999999995
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 37.852999999999994
verified: no, type: map_at_10
value: 59.961
verified: no, type: map_at_100
value: 60.78
verified: no, type: map_at_1000
value: 60.843
verified: no, type: map_at_3
value: 56.39999999999999
verified: no, type: map_at_5
value: 58.646
verified: no, type: mrr_at_1
value: 75.70599999999999
verified: no, type: mrr_at_10
value: 82.321
verified: no, type: mrr_at_100
value: 82.516
verified: no, type: mrr_at_1000
value: 82.525
verified: no, type: mrr_at_3
value: 81.317
verified: no, type: mrr_at_5
value: 81.922
verified: no, type: ndcg_at_1
value: 75.70599999999999
verified: no, type: ndcg_at_10
value: 68.557
verified: no, type: ndcg_at_100
value: 71.485
verified: no, type: ndcg_at_1000
value: 72.71600000000001
verified: no, type: ndcg_at_3
value: 63.524
verified: no, type: ndcg_at_5
value: 66.338
verified: no, type: precision_at_1
value: 75.70599999999999
verified: no, type: precision_at_10
value: 14.463000000000001
verified: no, type: precision_at_100
value: 1.677
verified: no, type: precision_at_1000
value: 0.184
verified: no, type: precision_at_3
value: 40.806
verified: no, type: precision_at_5
value: 26.709
verified: no, type: recall_at_1
value: 37.852999999999994
verified: no, type: recall_at_10
value: 72.316
verified: no, type: recall_at_100
value: 83.842
verified: no, type: recall_at_1000
value: 91.999
verified: no, type: recall_at_3
value: 61.209
verified: no, type: recall_at_5
value: 66.77199999999999
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 85.46039999999999
verified: no, type: ap
value: 79.9812521351881
verified: no, type: f1
value: 85.31722909702084
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 22.704
verified: no, type: map_at_10
value: 35.329
verified: no, type: map_at_100
value: 36.494
verified: no, type: map_at_1000
value: 36.541000000000004
verified: no, type: map_at_3
value: 31.476
verified: no, type: map_at_5
value: 33.731
verified: no, type: mrr_at_1
value: 23.294999999999998
verified: no, type: mrr_at_10
value: 35.859
verified: no, type: mrr_at_100
value: 36.968
verified: no, type: mrr_at_1000
value: 37.008
verified: no, type: mrr_at_3
value: 32.085
verified: no, type: mrr_at_5
value: 34.299
verified: no, type: ndcg_at_1
value: 23.324
verified: no, type: ndcg_at_10
value: 42.274
verified: no, type: ndcg_at_100
value: 47.839999999999996
verified: no, type: ndcg_at_1000
value: 48.971
verified: no, type: ndcg_at_3
value: 34.454
verified: no, type: ndcg_at_5
value: 38.464
verified: no, type: precision_at_1
value: 23.324
verified: no, type: precision_at_10
value: 6.648
verified: no, type: precision_at_100
value: 0.9440000000000001
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 14.674999999999999
verified: no, type: precision_at_5
value: 10.850999999999999
verified: no, type: recall_at_1
value: 22.704
verified: no, type: recall_at_10
value: 63.660000000000004
verified: no, type: recall_at_100
value: 89.29899999999999
verified: no, type: recall_at_1000
value: 97.88900000000001
verified: no, type: recall_at_3
value: 42.441
verified: no, type: recall_at_5
value: 52.04
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.1326949384405
verified: no, type: f1
value: 92.89743579612082
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (de)
config: de
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 89.62524654832347
verified: no, type: f1
value: 88.65106082263151
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (es)
config: es
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 90.59039359573046
verified: no, type: f1
value: 90.31532892105662
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (fr)
config: fr
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 86.21046038208581
verified: no, type: f1
value: 86.41459529813113
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (hi)
config: hi
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 87.3180351380423
verified: no, type: f1
value: 86.71383078226444
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (th)
config: th
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 86.24231464737792
verified: no, type: f1
value: 86.31845567592403
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 75.27131782945736
verified: no, type: f1
value: 57.52079940417103
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (de)
config: de
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 71.2341504649197
verified: no, type: f1
value: 51.349951558039244
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (es)
config: es
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 71.27418278852569
verified: no, type: f1
value: 50.1714985749095
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (fr)
config: fr
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 67.68243031631694
verified: no, type: f1
value: 50.1066160836192
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (hi)
config: hi
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 69.2362854069559
verified: no, type: f1
value: 48.821279948766424
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (th)
config: th
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 71.71428571428571
verified: no, type: f1
value: 53.94611389496195
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: 59.97646267652992
verified: no, type: f1
value: 57.26797883561521
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: 53.65501008742435
verified: no, type: f1
value: 50.416258382177034
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: 57.45796906523201
verified: no, type: f1
value: 53.306690547422185
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: 62.59246805648957
verified: no, type: f1
value: 59.818381969051494
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: 61.126429051782104
verified: no, type: f1
value: 58.25993593933026
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: 50.057162071284466
verified: no, type: f1
value: 46.96095728790911
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: 66.64425016812375
verified: no, type: f1
value: 62.858291698755764
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: 66.08944182918628
verified: no, type: f1
value: 62.44639030604241
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: 64.68056489576328
verified: no, type: f1
value: 61.775326758789504
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: 72.11163416274377
verified: no, type: f1
value: 69.70789096927015
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: 68.40282447881641
verified: no, type: f1
value: 66.38492065671895
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: 67.24613315400134
verified: no, type: f1
value: 64.3348019501336
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: 65.78345662407531
verified: no, type: f1
value: 62.21279452354622
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: 67.9455279085407
verified: no, type: f1
value: 65.48193124964094
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: 62.05110961667788
verified: no, type: f1
value: 58.097856564684534
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: 64.95292535305985
verified: no, type: f1
value: 62.09182174767901
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: 64.97310020174848
verified: no, type: f1
value: 61.14252567730396
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: 60.08069939475453
verified: no, type: f1
value: 57.044041742492034
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: 66.63752521856085
verified: no, type: f1
value: 63.889340907205316
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: 56.385339609952936
verified: no, type: f1
value: 53.449033750088304
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: 68.93073301950234
verified: no, type: f1
value: 65.9884357824104
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: 68.94418291862812
verified: no, type: f1
value: 66.48740222583132
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: 54.26025554808339
verified: no, type: f1
value: 50.19562815100793
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: 48.98789509078682
verified: no, type: f1
value: 46.65788438676836
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: 44.68728984532616
verified: no, type: f1
value: 41.642419349541996
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: 59.19300605245461
verified: no, type: f1
value: 55.8626492442437
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: 66.33826496301278
verified: no, type: f1
value: 63.89499791648792
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: 60.33960995292536
verified: no, type: f1
value: 57.15242464180892
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: 63.09347679892402
verified: no, type: f1
value: 59.64733214063841
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: 58.75924680564896
verified: no, type: f1
value: 55.96585692366827
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: 62.48486886348352
verified: no, type: f1
value: 59.45143559032946
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: 58.56422326832549
verified: no, type: f1
value: 54.96368702901926
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: 66.18022864828512
verified: no, type: f1
value: 63.05369805040634
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: 67.30329522528581
verified: no, type: f1
value: 64.06084612020727
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: 68.36919973100201
verified: no, type: f1
value: 65.12154124788887
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: 68.98117014122394
verified: no, type: f1
value: 66.41847559806962
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: 65.53799596503026
verified: no, type: f1
value: 62.17067330740817
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: 69.01815736381977
verified: no, type: f1
value: 66.24988369607843
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: 62.34700739744452
verified: no, type: f1
value: 59.957933424941636
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: 61.23402824478815
verified: no, type: f1
value: 57.98836976018471
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: 68.54068594485541
verified: no, type: f1
value: 65.43849680666855
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: 55.998655010087425
verified: no, type: f1
value: 52.83737515406804
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: 58.71217215870882
verified: no, type: f1
value: 55.051794977833026
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: 59.724277067921996
verified: no, type: f1
value: 56.33485571838306
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: 65.59515803631473
verified: no, type: f1
value: 64.96772366193588
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: 60.860793544048406
verified: no, type: f1
value: 58.148845819115394
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: 67.40753194351043
verified: no, type: f1
value: 63.18903778054698
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: 61.52320107599194
verified: no, type: f1
value: 58.356144563398516
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: 66.17014122394083
verified: no, type: f1
value: 63.919964062638925
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: 69.15601882985878
verified: no, type: f1
value: 67.01451905761371
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: 64.65030262273034
verified: no, type: f1
value: 64.14420425129063
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: 65.08742434431743
verified: no, type: f1
value: 63.044060042311756
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: 58.52387357094821
verified: no, type: f1
value: 56.82398588814534
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: 62.239408204438476
verified: no, type: f1
value: 61.92570286170469
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: 63.74915938130463
verified: no, type: f1
value: 62.130740689396276
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: 65.00336247478144
verified: no, type: f1
value: 63.71080635228055
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: 52.837928715534645
verified: no, type: f1
value: 50.390741680320836
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: 72.42098184263618
verified: no, type: f1
value: 71.41355113538995
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: 71.95359784801613
verified: no, type: f1
value: 71.42699340156742
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: 70.18157363819772
verified: no, type: f1
value: 69.74836113037671
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: 77.08137188971082
verified: no, type: f1
value: 76.78000685068261
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: 71.5030262273033
verified: no, type: f1
value: 71.71620130425673
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: 70.24546065904505
verified: no, type: f1
value: 69.07638311730359
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: 69.12911903160726
verified: no, type: f1
value: 68.32651736539815
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: 71.89307330195025
verified: no, type: f1
value: 71.33986549860187
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: 67.44451916610626
verified: no, type: f1
value: 66.90192664503866
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: 69.16274377942166
verified: no, type: f1
value: 68.01090953775066
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: 70.75319435104237
verified: no, type: f1
value: 70.18035309201403
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: 63.14391392064559
verified: no, type: f1
value: 61.48286540778145
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: 70.70275722932078
verified: no, type: f1
value: 70.26164779846495
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: 60.93813046402153
verified: no, type: f1
value: 58.8852862116525
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: 72.320107599193
verified: no, type: f1
value: 72.19836409602924
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: 74.65366509751176
verified: no, type: f1
value: 74.55188288799579
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: 59.694014794889036
verified: no, type: f1
value: 58.11353311721067
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: 54.37457969065231
verified: no, type: f1
value: 52.81306134311697
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: 48.3086751849361
verified: no, type: f1
value: 45.396449765419376
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: 62.151983860121064
verified: no, type: f1
value: 60.31762544281696
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: 72.44788164088769
verified: no, type: f1
value: 71.68150151736367
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: 62.81439139206455
verified: no, type: f1
value: 62.06735559105593
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: 68.04303967720242
verified: no, type: f1
value: 66.68298851670133
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: 61.43913920645595
verified: no, type: f1
value: 60.25605977560783
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: 66.90316072629456
verified: no, type: f1
value: 65.1325924692381
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: 61.63752521856086
verified: no, type: f1
value: 59.14284778039585
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: 71.63080026899797
verified: no, type: f1
value: 70.89771864626877
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: 72.10827168796234
verified: no, type: f1
value: 71.71954219691159
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: 70.59515803631471
verified: no, type: f1
value: 70.05040128099003
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: 70.83389374579691
verified: no, type: f1
value: 70.84877936562735
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: 69.18628110289173
verified: no, type: f1
value: 68.97232927921841
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: 72.99260255548083
verified: no, type: f1
value: 72.85139492157732
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: 65.26227303295225
verified: no, type: f1
value: 65.08833655469431
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: 66.48621385339611
verified: no, type: f1
value: 64.43483199071298
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: 73.14391392064559
verified: no, type: f1
value: 72.2580822579741
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: 59.88567585743107
verified: no, type: f1
value: 58.3073765932569
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: 62.38399462004034
verified: no, type: f1
value: 60.82139544252606
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: 62.58574310692671
verified: no, type: f1
value: 60.71443370385374
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: 71.61398789509079
verified: no, type: f1
value: 70.99761812049401
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: 62.73705447209146
verified: no, type: f1
value: 61.680849331794796
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: 71.66778749159381
verified: no, type: f1
value: 71.17320646080115
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: 64.640215198386
verified: no, type: f1
value: 63.301805157015444
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: 70.00672494956288
verified: no, type: f1
value: 70.26005548582106
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: 75.42030934767989
verified: no, type: f1
value: 75.2074842882598
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: 70.69266980497646
verified: no, type: f1
value: 70.94103167391192
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: 28.91697191169135
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: 28.434000079573313
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 30.96683513343383
verified: no, type: mrr
value: 31.967364078714834
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.5280000000000005
verified: no, type: map_at_10
value: 11.793
verified: no, type: map_at_100
value: 14.496999999999998
verified: no, type: map_at_1000
value: 15.783
verified: no, type: map_at_3
value: 8.838
verified: no, type: map_at_5
value: 10.07
verified: no, type: mrr_at_1
value: 43.653
verified: no, type: mrr_at_10
value: 51.531000000000006
verified: no, type: mrr_at_100
value: 52.205
verified: no, type: mrr_at_1000
value: 52.242999999999995
verified: no, type: mrr_at_3
value: 49.431999999999995
verified: no, type: mrr_at_5
value: 50.470000000000006
verified: no, type: ndcg_at_1
value: 42.415000000000006
verified: no, type: ndcg_at_10
value: 32.464999999999996
verified: no, type: ndcg_at_100
value: 28.927999999999997
verified: no, type: ndcg_at_1000
value: 37.629000000000005
verified: no, type: ndcg_at_3
value: 37.845
verified: no, type: ndcg_at_5
value: 35.147
verified: no, type: precision_at_1
value: 43.653
verified: no, type: precision_at_10
value: 23.932000000000002
verified: no, type: precision_at_100
value: 7.17
verified: no, type: precision_at_1000
value: 1.967
verified: no, type: precision_at_3
value: 35.397
verified: no, type: precision_at_5
value: 29.907
verified: no, type: recall_at_1
value: 5.5280000000000005
verified: no, type: recall_at_10
value: 15.568000000000001
verified: no, type: recall_at_100
value: 28.54
verified: no, type: recall_at_1000
value: 59.864
verified: no, type: recall_at_3
value: 9.822000000000001
verified: no, type: recall_at_5
value: 11.726
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 37.041000000000004
verified: no, type: map_at_10
value: 52.664
verified: no, type: map_at_100
value: 53.477
verified: no, type: map_at_1000
value: 53.505
verified: no, type: map_at_3
value: 48.510999999999996
verified: no, type: map_at_5
value: 51.036
verified: no, type: mrr_at_1
value: 41.338
verified: no, type: mrr_at_10
value: 55.071000000000005
verified: no, type: mrr_at_100
value: 55.672
verified: no, type: mrr_at_1000
value: 55.689
verified: no, type: mrr_at_3
value: 51.82
verified: no, type: mrr_at_5
value: 53.852
verified: no, type: ndcg_at_1
value: 41.338
verified: no, type: ndcg_at_10
value: 60.01800000000001
verified: no, type: ndcg_at_100
value: 63.409000000000006
verified: no, type: ndcg_at_1000
value: 64.017
verified: no, type: ndcg_at_3
value: 52.44799999999999
verified: no, type: ndcg_at_5
value: 56.571000000000005
verified: no, type: precision_at_1
value: 41.338
verified: no, type: precision_at_10
value: 9.531
verified: no, type: precision_at_100
value: 1.145
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 23.416
verified: no, type: precision_at_5
value: 16.46
verified: no, type: recall_at_1
value: 37.041000000000004
verified: no, type: recall_at_10
value: 79.76299999999999
verified: no, type: recall_at_100
value: 94.39
verified: no, type: recall_at_1000
value: 98.851
verified: no, type: recall_at_3
value: 60.465
verified: no, type: recall_at_5
value: 69.906
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 69.952
verified: no, type: map_at_10
value: 83.758
verified: no, type: map_at_100
value: 84.406
verified: no, type: map_at_1000
value: 84.425
verified: no, type: map_at_3
value: 80.839
verified: no, type: map_at_5
value: 82.646
verified: no, type: mrr_at_1
value: 80.62
verified: no, type: mrr_at_10
value: 86.947
verified: no, type: mrr_at_100
value: 87.063
verified: no, type: mrr_at_1000
value: 87.064
verified: no, type: mrr_at_3
value: 85.96000000000001
verified: no, type: mrr_at_5
value: 86.619
verified: no, type: ndcg_at_1
value: 80.63
verified: no, type: ndcg_at_10
value: 87.64800000000001
verified: no, type: ndcg_at_100
value: 88.929
verified: no, type: ndcg_at_1000
value: 89.054
verified: no, type: ndcg_at_3
value: 84.765
verified: no, type: ndcg_at_5
value: 86.291
verified: no, type: precision_at_1
value: 80.63
verified: no, type: precision_at_10
value: 13.314
verified: no, type: precision_at_100
value: 1.525
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.1
verified: no, type: precision_at_5
value: 24.372
verified: no, type: recall_at_1
value: 69.952
verified: no, type: recall_at_10
value: 94.955
verified: no, type: recall_at_100
value: 99.38
verified: no, type: recall_at_1000
value: 99.96000000000001
verified: no, type: recall_at_3
value: 86.60600000000001
verified: no, type: recall_at_5
value: 90.997
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 42.41329517878427
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: 55.171278362748666
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.213
verified: no, type: map_at_10
value: 9.895
verified: no, type: map_at_100
value: 11.776
verified: no, type: map_at_1000
value: 12.084
verified: no, type: map_at_3
value: 7.2669999999999995
verified: no, type: map_at_5
value: 8.620999999999999
verified: no, type: mrr_at_1
value: 20.8
verified: no, type: mrr_at_10
value: 31.112000000000002
verified: no, type: mrr_at_100
value: 32.274
verified: no, type: mrr_at_1000
value: 32.35
verified: no, type: mrr_at_3
value: 28.133000000000003
verified: no, type: mrr_at_5
value: 29.892999999999997
verified: no, type: ndcg_at_1
value: 20.8
verified: no, type: ndcg_at_10
value: 17.163999999999998
verified: no, type: ndcg_at_100
value: 24.738
verified: no, type: ndcg_at_1000
value: 30.316
verified: no, type: ndcg_at_3
value: 16.665
verified: no, type: ndcg_at_5
value: 14.478
verified: no, type: precision_at_1
value: 20.8
verified: no, type: precision_at_10
value: 8.74
verified: no, type: precision_at_100
value: 1.963
verified: no, type: precision_at_1000
value: 0.33
verified: no, type: precision_at_3
value: 15.467
verified: no, type: precision_at_5
value: 12.6
verified: no, type: recall_at_1
value: 4.213
verified: no, type: recall_at_10
value: 17.698
verified: no, type: recall_at_100
value: 39.838
verified: no, type: recall_at_1000
value: 66.893
verified: no, type: recall_at_3
value: 9.418
verified: no, type: recall_at_5
value: 12.773000000000001
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: 82.90453315738294
verified: no, type: cos_sim_spearman
value: 78.51197850080254
verified: no, type: euclidean_pearson
value: 80.09647123597748
verified: no, type: euclidean_spearman
value: 78.63548011514061
verified: no, type: manhattan_pearson
value: 80.10645285675231
verified: no, type: manhattan_spearman
value: 78.57861806068901
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: 84.2616156846401
verified: no, type: cos_sim_spearman
value: 76.69713867850156
verified: no, type: euclidean_pearson
value: 77.97948563800394
verified: no, type: euclidean_spearman
value: 74.2371211567807
verified: no, type: manhattan_pearson
value: 77.69697879669705
verified: no, type: manhattan_spearman
value: 73.86529778022278
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: 77.0293269315045
verified: no, type: cos_sim_spearman
value: 78.02555120584198
verified: no, type: euclidean_pearson
value: 78.25398100379078
verified: no, type: euclidean_spearman
value: 78.66963870599464
verified: no, type: manhattan_pearson
value: 78.14314682167348
verified: no, type: manhattan_spearman
value: 78.57692322969135
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: 79.16989925136942
verified: no, type: cos_sim_spearman
value: 76.5996225327091
verified: no, type: euclidean_pearson
value: 77.8319003279786
verified: no, type: euclidean_spearman
value: 76.42824009468998
verified: no, type: manhattan_pearson
value: 77.69118862737736
verified: no, type: manhattan_spearman
value: 76.25568104762812
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 87.42012286935325
verified: no, type: cos_sim_spearman
value: 88.15654297884122
verified: no, type: euclidean_pearson
value: 87.34082819427852
verified: no, type: euclidean_spearman
value: 88.06333589547084
verified: no, type: manhattan_pearson
value: 87.25115596784842
verified: no, type: manhattan_spearman
value: 87.9559927695203
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: 82.88222044996712
verified: no, type: cos_sim_spearman
value: 84.28476589061077
verified: no, type: euclidean_pearson
value: 83.17399758058309
verified: no, type: euclidean_spearman
value: 83.85497357244542
verified: no, type: manhattan_pearson
value: 83.0308397703786
verified: no, type: manhattan_spearman
value: 83.71554539935046
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: 80.20682986257339
verified: no, type: cos_sim_spearman
value: 79.94567120362092
verified: no, type: euclidean_pearson
value: 79.43122480368902
verified: no, type: euclidean_spearman
value: 79.94802077264987
verified: no, type: manhattan_pearson
value: 79.32653021527081
verified: no, type: manhattan_spearman
value: 79.80961146709178
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: 74.46578144394383
verified: no, type: cos_sim_spearman
value: 74.52496637472179
verified: no, type: euclidean_pearson
value: 72.2903807076809
verified: no, type: euclidean_spearman
value: 73.55549359771645
verified: no, type: manhattan_pearson
value: 72.09324837709393
verified: no, type: manhattan_spearman
value: 73.36743103606581
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: 71.37272335116
verified: no, type: cos_sim_spearman
value: 71.26702117766037
verified: no, type: euclidean_pearson
value: 67.114829954434
verified: no, type: euclidean_spearman
value: 66.37938893947761
verified: no, type: manhattan_pearson
value: 66.79688574095246
verified: no, type: manhattan_spearman
value: 66.17292828079667
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: 80.61016770129092
verified: no, type: cos_sim_spearman
value: 82.08515426632214
verified: no, type: euclidean_pearson
value: 80.557340361131
verified: no, type: euclidean_spearman
value: 80.37585812266175
verified: no, type: manhattan_pearson
value: 80.6782873404285
verified: no, type: manhattan_spearman
value: 80.6678073032024
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 87.00150745350108
verified: no, type: cos_sim_spearman
value: 87.83441972211425
verified: no, type: euclidean_pearson
value: 87.94826702308792
verified: no, type: euclidean_spearman
value: 87.46143974860725
verified: no, type: manhattan_pearson
value: 87.97560344306105
verified: no, type: manhattan_spearman
value: 87.5267102829796
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: 64.76325252267235
verified: no, type: cos_sim_spearman
value: 63.32615095463905
verified: no, type: euclidean_pearson
value: 64.07920669155716
verified: no, type: euclidean_spearman
value: 61.21409893072176
verified: no, type: manhattan_pearson
value: 64.26308625680016
verified: no, type: manhattan_spearman
value: 61.2438185254079
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: 75.82644463022595
verified: no, type: cos_sim_spearman
value: 76.50381269945073
verified: no, type: euclidean_pearson
value: 75.1328548315934
verified: no, type: euclidean_spearman
value: 75.63761139408453
verified: no, type: manhattan_pearson
value: 75.18610101241407
verified: no, type: manhattan_spearman
value: 75.30669266354164
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: 87.49994164686832
verified: no, type: cos_sim_spearman
value: 86.73743986245549
verified: no, type: euclidean_pearson
value: 86.8272894387145
verified: no, type: euclidean_spearman
value: 85.97608491000507
verified: no, type: manhattan_pearson
value: 86.74960140396779
verified: no, type: manhattan_spearman
value: 85.79285984190273
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: 79.58172210788469
verified: no, type: cos_sim_spearman
value: 80.17516468334607
verified: no, type: euclidean_pearson
value: 77.56537843470504
verified: no, type: euclidean_spearman
value: 77.57264627395521
verified: no, type: manhattan_pearson
value: 78.09703521695943
verified: no, type: manhattan_spearman
value: 78.15942760916954
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: 79.7589932931751
verified: no, type: cos_sim_spearman
value: 80.15210089028162
verified: no, type: euclidean_pearson
value: 77.54135223516057
verified: no, type: euclidean_spearman
value: 77.52697996368764
verified: no, type: manhattan_pearson
value: 77.65734439572518
verified: no, type: manhattan_spearman
value: 77.77702992016121
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: 79.16682365511267
verified: no, type: cos_sim_spearman
value: 79.25311267628506
verified: no, type: euclidean_pearson
value: 77.54882036762244
verified: no, type: euclidean_spearman
value: 77.33212935194827
verified: no, type: manhattan_pearson
value: 77.98405516064015
verified: no, type: manhattan_spearman
value: 77.85075717865719
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: 59.10473294775917
verified: no, type: cos_sim_spearman
value: 61.82780474476838
verified: no, type: euclidean_pearson
value: 45.885111672377256
verified: no, type: euclidean_spearman
value: 56.88306351932454
verified: no, type: manhattan_pearson
value: 46.101218127323186
verified: no, type: manhattan_spearman
value: 56.80953694186333
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: 45.781923079584146
verified: no, type: cos_sim_spearman
value: 55.95098449691107
verified: no, type: euclidean_pearson
value: 25.4571031323205
verified: no, type: euclidean_spearman
value: 49.859978118078935
verified: no, type: manhattan_pearson
value: 25.624938455041384
verified: no, type: manhattan_spearman
value: 49.99546185049401
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: 60.00618133997907
verified: no, type: cos_sim_spearman
value: 66.57896677718321
verified: no, type: euclidean_pearson
value: 42.60118466388821
verified: no, type: euclidean_spearman
value: 62.8210759715209
verified: no, type: manhattan_pearson
value: 42.63446860604094
verified: no, type: manhattan_spearman
value: 62.73803068925271
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: 28.460759121626943
verified: no, type: cos_sim_spearman
value: 34.13459007469131
verified: no, type: euclidean_pearson
value: 6.0917739325525195
verified: no, type: euclidean_spearman
value: 27.9947262664867
verified: no, type: manhattan_pearson
value: 6.16877864169911
verified: no, type: manhattan_spearman
value: 28.00664163971514
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: 57.42546621771696
verified: no, type: cos_sim_spearman
value: 63.699663168970474
verified: no, type: euclidean_pearson
value: 38.12085278789738
verified: no, type: euclidean_spearman
value: 58.12329140741536
verified: no, type: manhattan_pearson
value: 37.97364549443335
verified: no, type: manhattan_spearman
value: 57.81545502318733
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: 46.82241380954213
verified: no, type: cos_sim_spearman
value: 57.86569456006391
verified: no, type: euclidean_pearson
value: 31.80480070178813
verified: no, type: euclidean_spearman
value: 52.484000620130104
verified: no, type: manhattan_pearson
value: 31.952708554646097
verified: no, type: manhattan_spearman
value: 52.8560972356195
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: 52.00447170498087
verified: no, type: cos_sim_spearman
value: 60.664116225735164
verified: no, type: euclidean_pearson
value: 33.87382555421702
verified: no, type: euclidean_spearman
value: 55.74649067458667
verified: no, type: manhattan_pearson
value: 33.99117246759437
verified: no, type: manhattan_spearman
value: 55.98749034923899
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: 58.06497233105448
verified: no, type: cos_sim_spearman
value: 65.62968801135676
verified: no, type: euclidean_pearson
value: 47.482076613243905
verified: no, type: euclidean_spearman
value: 62.65137791498299
verified: no, type: manhattan_pearson
value: 47.57052626104093
verified: no, type: manhattan_spearman
value: 62.436916516613294
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: 70.49397298562575
verified: no, type: cos_sim_spearman
value: 74.79604041187868
verified: no, type: euclidean_pearson
value: 49.661891561317795
verified: no, type: euclidean_spearman
value: 70.31535537621006
verified: no, type: manhattan_pearson
value: 49.553715741850006
verified: no, type: manhattan_spearman
value: 70.24779344636806
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: 55.640574515348696
verified: no, type: cos_sim_spearman
value: 54.927959317689
verified: no, type: euclidean_pearson
value: 29.00139666967476
verified: no, type: euclidean_spearman
value: 41.86386566971605
verified: no, type: manhattan_pearson
value: 29.47411067730344
verified: no, type: manhattan_spearman
value: 42.337438424952786
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: 68.14095292259312
verified: no, type: cos_sim_spearman
value: 73.99017581234789
verified: no, type: euclidean_pearson
value: 46.46304297872084
verified: no, type: euclidean_spearman
value: 60.91834114800041
verified: no, type: manhattan_pearson
value: 47.07072666338692
verified: no, type: manhattan_spearman
value: 61.70415727977926
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: 73.27184653359575
verified: no, type: cos_sim_spearman
value: 77.76070252418626
verified: no, type: euclidean_pearson
value: 62.30586577544778
verified: no, type: euclidean_spearman
value: 75.14246629110978
verified: no, type: manhattan_pearson
value: 62.328196884927046
verified: no, type: manhattan_spearman
value: 75.1282792981433
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: 71.59448528829957
verified: no, type: cos_sim_spearman
value: 70.37277734222123
verified: no, type: euclidean_pearson
value: 57.63145565721123
verified: no, type: euclidean_spearman
value: 66.10113048304427
verified: no, type: manhattan_pearson
value: 57.18897811586808
verified: no, type: manhattan_spearman
value: 66.5595511215901
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: 66.37520607720838
verified: no, type: cos_sim_spearman
value: 69.92282148997948
verified: no, type: euclidean_pearson
value: 40.55768770125291
verified: no, type: euclidean_spearman
value: 55.189128944669605
verified: no, type: manhattan_pearson
value: 41.03566433468883
verified: no, type: manhattan_spearman
value: 55.61251893174558
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: 57.791929533771835
verified: no, type: cos_sim_spearman
value: 66.45819707662093
verified: no, type: euclidean_pearson
value: 39.03686018511092
verified: no, type: euclidean_spearman
value: 56.01282695640428
verified: no, type: manhattan_pearson
value: 38.91586623619632
verified: no, type: manhattan_spearman
value: 56.69394943612747
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: 47.82224468473866
verified: no, type: cos_sim_spearman
value: 59.467307194781164
verified: no, type: euclidean_pearson
value: 27.428459190256145
verified: no, type: euclidean_spearman
value: 60.83463107397519
verified: no, type: manhattan_pearson
value: 27.487391578496638
verified: no, type: manhattan_spearman
value: 61.281380460246496
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: 16.306666792752644
verified: no, type: cos_sim_spearman
value: 39.35486427252405
verified: no, type: euclidean_pearson
value: -2.7887154897955435
verified: no, type: euclidean_spearman
value: 27.1296051831719
verified: no, type: manhattan_pearson
value: -3.202291270581297
verified: no, type: manhattan_spearman
value: 26.32895849218158
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: 59.67006803805076
verified: no, type: cos_sim_spearman
value: 73.24670207647144
verified: no, type: euclidean_pearson
value: 46.91884681500483
verified: no, type: euclidean_spearman
value: 16.903085094570333
verified: no, type: manhattan_pearson
value: 46.88391675325812
verified: no, type: manhattan_spearman
value: 28.17180849095055
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: 83.79555591223837
verified: no, type: cos_sim_spearman
value: 85.63658602085185
verified: no, type: euclidean_pearson
value: 85.22080894037671
verified: no, type: euclidean_spearman
value: 85.54113580167038
verified: no, type: manhattan_pearson
value: 85.1639505960118
verified: no, type: manhattan_spearman
value: 85.43502665436196
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 80.73900991689766
verified: no, type: mrr
value: 94.81624131133934
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 55.678000000000004
verified: no, type: map_at_10
value: 65.135
verified: no, type: map_at_100
value: 65.824
verified: no, type: map_at_1000
value: 65.852
verified: no, type: map_at_3
value: 62.736000000000004
verified: no, type: map_at_5
value: 64.411
verified: no, type: mrr_at_1
value: 58.333
verified: no, type: mrr_at_10
value: 66.5
verified: no, type: mrr_at_100
value: 67.053
verified: no, type: mrr_at_1000
value: 67.08
verified: no, type: mrr_at_3
value: 64.944
verified: no, type: mrr_at_5
value: 65.89399999999999
verified: no, type: ndcg_at_1
value: 58.333
verified: no, type: ndcg_at_10
value: 69.34700000000001
verified: no, type: ndcg_at_100
value: 72.32
verified: no, type: ndcg_at_1000
value: 73.014
verified: no, type: ndcg_at_3
value: 65.578
verified: no, type: ndcg_at_5
value: 67.738
verified: no, type: precision_at_1
value: 58.333
verified: no, type: precision_at_10
value: 9.033
verified: no, type: precision_at_100
value: 1.0670000000000002
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 25.444
verified: no, type: precision_at_5
value: 16.933
verified: no, type: recall_at_1
value: 55.678000000000004
verified: no, type: recall_at_10
value: 80.72200000000001
verified: no, type: recall_at_100
value: 93.93299999999999
verified: no, type: recall_at_1000
value: 99.333
verified: no, type: recall_at_3
value: 70.783
verified: no, type: recall_at_5
value: 75.978
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: 99.74653465346535
verified: no, type: cos_sim_ap
value: 93.01476369929063
verified: no, type: cos_sim_f1
value: 86.93009118541033
verified: no, type: cos_sim_precision
value: 88.09034907597535
verified: no, type: cos_sim_recall
value: 85.8
verified: no, type: dot_accuracy
value: 99.22970297029703
verified: no, type: dot_ap
value: 51.58725659485144
verified: no, type: dot_f1
value: 53.51351351351352
verified: no, type: dot_precision
value: 58.235294117647065
verified: no, type: dot_recall
value: 49.5
verified: no, type: euclidean_accuracy
value: 99.74356435643564
verified: no, type: euclidean_ap
value: 92.40332894384368
verified: no, type: euclidean_f1
value: 86.97838109602817
verified: no, type: euclidean_precision
value: 87.46208291203236
verified: no, type: euclidean_recall
value: 86.5
verified: no, type: manhattan_accuracy
value: 99.73069306930694
verified: no, type: manhattan_ap
value: 92.01320815721121
verified: no, type: manhattan_f1
value: 86.4135864135864
verified: no, type: manhattan_precision
value: 86.32734530938124
verified: no, type: manhattan_recall
value: 86.5
verified: no, type: max_accuracy
value: 99.74653465346535
verified: no, type: max_ap
value: 93.01476369929063
verified: no, type: max_f1
value: 86.97838109602817
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 55.2660514302523
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: 30.4637783572547
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 49.41377758357637
verified: no, type: mrr
value: 50.138451213818854
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 28.887846011166594
verified: no, type: cos_sim_spearman
value: 30.10823258355903
verified: no, type: dot_pearson
value: 12.888049550236385
verified: no, type: dot_spearman
value: 12.827495903098123
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.21
verified: no, type: map_at_10
value: 1.667
verified: no, type: map_at_100
value: 9.15
verified: no, type: map_at_1000
value: 22.927
verified: no, type: map_at_3
value: 0.573
verified: no, type: map_at_5
value: 0.915
verified: no, type: mrr_at_1
value: 80
verified: no, type: mrr_at_10
value: 87.167
verified: no, type: mrr_at_100
value: 87.167
verified: no, type: mrr_at_1000
value: 87.167
verified: no, type: mrr_at_3
value: 85.667
verified: no, type: mrr_at_5
value: 87.167
verified: no, type: ndcg_at_1
value: 76
verified: no, type: ndcg_at_10
value: 69.757
verified: no, type: ndcg_at_100
value: 52.402
verified: no, type: ndcg_at_1000
value: 47.737
verified: no, type: ndcg_at_3
value: 71.866
verified: no, type: ndcg_at_5
value: 72.225
verified: no, type: precision_at_1
value: 80
verified: no, type: precision_at_10
value: 75
verified: no, type: precision_at_100
value: 53.959999999999994
verified: no, type: precision_at_1000
value: 21.568
verified: no, type: precision_at_3
value: 76.667
verified: no, type: precision_at_5
value: 78
verified: no, type: recall_at_1
value: 0.21
verified: no, type: recall_at_10
value: 1.9189999999999998
verified: no, type: recall_at_100
value: 12.589
verified: no, type: recall_at_1000
value: 45.312000000000005
verified: no, type: recall_at_3
value: 0.61
verified: no, type: recall_at_5
value: 1.019
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: 92.10000000000001
verified: no, type: f1
value: 90.06
verified: no, type: precision
value: 89.17333333333333
verified: no, type: recall
value: 92.10000000000001
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: 56.06936416184971
verified: no, type: f1
value: 50.87508028259473
verified: no, type: precision
value: 48.97398843930635
verified: no, type: recall
value: 56.06936416184971
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: 57.3170731707317
verified: no, type: f1
value: 52.96080139372822
verified: no, type: precision
value: 51.67861124382864
verified: no, type: recall
value: 57.3170731707317
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: 94.3
verified: no, type: f1
value: 92.67333333333333
verified: no, type: precision
value: 91.90833333333333
verified: no, type: recall
value: 94.3
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: 97.7
verified: no, type: f1
value: 97.07333333333332
verified: no, type: precision
value: 96.79500000000002
verified: no, type: recall
value: 97.7
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: 94.69999999999999
verified: no, type: f1
value: 93.2
verified: no, type: precision
value: 92.48333333333333
verified: no, type: recall
value: 94.69999999999999
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: 92.9
verified: no, type: f1
value: 91.26666666666667
verified: no, type: precision
value: 90.59444444444445
verified: no, type: recall
value: 92.9
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: 34.32835820895522
verified: no, type: f1
value: 29.074180380150533
verified: no, type: precision
value: 28.068207322920596
verified: no, type: recall
value: 34.32835820895522
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: 78.5
verified: no, type: f1
value: 74.3945115995116
verified: no, type: precision
value: 72.82967843459222
verified: no, type: recall
value: 78.5
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: 66.34146341463415
verified: no, type: f1
value: 61.2469400518181
verified: no, type: precision
value: 59.63977756660683
verified: no, type: recall
value: 66.34146341463415
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: 80.9
verified: no, type: f1
value: 76.90349206349207
verified: no, type: precision
value: 75.32921568627451
verified: no, type: recall
value: 80.9
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: 84.93317132442284
verified: no, type: f1
value: 81.92519105034295
verified: no, type: precision
value: 80.71283920615635
verified: no, type: recall
value: 84.93317132442284
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: 71.1304347826087
verified: no, type: f1
value: 65.22394755003451
verified: no, type: precision
value: 62.912422360248435
verified: no, type: recall
value: 71.1304347826087
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: 79.82608695652173
verified: no, type: f1
value: 75.55693581780538
verified: no, type: precision
value: 73.79420289855072
verified: no, type: recall
value: 79.82608695652173
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: 74
verified: no, type: f1
value: 70.51022222222223
verified: no, type: precision
value: 69.29673599347512
verified: no, type: recall
value: 74
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: 78.7
verified: no, type: f1
value: 74.14238095238095
verified: no, type: precision
value: 72.27214285714285
verified: no, type: recall
value: 78.7
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: 48.97466827503016
verified: no, type: f1
value: 43.080330405420874
verified: no, type: precision
value: 41.36505499593557
verified: no, type: recall
value: 48.97466827503016
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: 89.60000000000001
verified: no, type: f1
value: 86.62333333333333
verified: no, type: precision
value: 85.225
verified: no, type: recall
value: 89.60000000000001
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: 45.2
verified: no, type: f1
value: 39.5761253006253
verified: no, type: precision
value: 37.991358436312
verified: no, type: recall
value: 45.2
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: 89.5
verified: no, type: f1
value: 86.70333333333333
verified: no, type: precision
value: 85.53166666666667
verified: no, type: recall
value: 89.5
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: 50.095238095238095
verified: no, type: f1
value: 44.60650460650461
verified: no, type: precision
value: 42.774116796477045
verified: no, type: recall
value: 50.095238095238095
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: 63.4
verified: no, type: f1
value: 58.35967261904762
verified: no, type: precision
value: 56.54857142857143
verified: no, type: recall
value: 63.4
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: 89.2
verified: no, type: f1
value: 87.075
verified: no, type: precision
value: 86.12095238095239
verified: no, type: recall
value: 89.2
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: 96.8
verified: no, type: f1
value: 95.90333333333334
verified: no, type: precision
value: 95.50833333333333
verified: no, type: recall
value: 96.8
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: 90.9
verified: no, type: f1
value: 88.6288888888889
verified: no, type: precision
value: 87.61607142857142
verified: no, type: recall
value: 90.9
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: 65.2
verified: no, type: f1
value: 60.54377630539395
verified: no, type: precision
value: 58.89434482711381
verified: no, type: recall
value: 65.2
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: 87
verified: no, type: f1
value: 84.32412698412699
verified: no, type: precision
value: 83.25527777777778
verified: no, type: recall
value: 87
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: 68.7
verified: no, type: f1
value: 63.07883541295306
verified: no, type: precision
value: 61.06117424242426
verified: no, type: recall
value: 68.7
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: 93.7
verified: no, type: f1
value: 91.78333333333335
verified: no, type: precision
value: 90.86666666666667
verified: no, type: recall
value: 93.7
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: 97.7
verified: no, type: f1
value: 96.96666666666667
verified: no, type: precision
value: 96.61666666666667
verified: no, type: recall
value: 97.7
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: 88.27493261455525
verified: no, type: f1
value: 85.90745732255168
verified: no, type: precision
value: 84.91389637616052
verified: no, type: recall
value: 88.27493261455525
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: 90.5982905982906
verified: no, type: f1
value: 88.4900284900285
verified: no, type: precision
value: 87.57122507122507
verified: no, type: recall
value: 90.5982905982906
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: 89.5
verified: no, type: f1
value: 86.90769841269842
verified: no, type: precision
value: 85.80178571428571
verified: no, type: recall
value: 89.5
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: 82.5
verified: no, type: f1
value: 78.36796536796538
verified: no, type: precision
value: 76.82196969696969
verified: no, type: recall
value: 82.5
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: 71.48846960167715
verified: no, type: f1
value: 66.78771089148448
verified: no, type: precision
value: 64.98302885095339
verified: no, type: recall
value: 71.48846960167715
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: 94.1
verified: no, type: f1
value: 92.50333333333333
verified: no, type: precision
value: 91.77499999999999
verified: no, type: recall
value: 94.1
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: 71.20622568093385
verified: no, type: f1
value: 66.83278891450098
verified: no, type: precision
value: 65.35065777283677
verified: no, type: recall
value: 71.20622568093385
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: 48.717948717948715
verified: no, type: f1
value: 43.53146853146853
verified: no, type: precision
value: 42.04721204721204
verified: no, type: recall
value: 48.717948717948715
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: 58.5
verified: no, type: f1
value: 53.8564991863928
verified: no, type: precision
value: 52.40329436122275
verified: no, type: recall
value: 58.5
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: 90.8
verified: no, type: f1
value: 88.29
verified: no, type: precision
value: 87.09166666666667
verified: no, type: recall
value: 90.8
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: 67.28971962616822
verified: no, type: f1
value: 62.63425307817832
verified: no, type: precision
value: 60.98065939771546
verified: no, type: recall
value: 67.28971962616822
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: 78.7
verified: no, type: f1
value: 75.5264472455649
verified: no, type: precision
value: 74.38205086580086
verified: no, type: recall
value: 78.7
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: 88.7
verified: no, type: f1
value: 86.10809523809525
verified: no, type: precision
value: 85.07602564102565
verified: no, type: recall
value: 88.7
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: 56.99999999999999
verified: no, type: f1
value: 52.85487521402737
verified: no, type: precision
value: 51.53985162713104
verified: no, type: recall
value: 56.99999999999999
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: 94
verified: no, type: f1
value: 92.45333333333333
verified: no, type: precision
value: 91.79166666666667
verified: no, type: recall
value: 94
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: 92.30000000000001
verified: no, type: f1
value: 90.61333333333333
verified: no, type: precision
value: 89.83333333333331
verified: no, type: recall
value: 92.30000000000001
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: 94.69999999999999
verified: no, type: f1
value: 93.34555555555555
verified: no, type: precision
value: 92.75416666666668
verified: no, type: recall
value: 94.69999999999999
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: 80.2
verified: no, type: f1
value: 76.6563035113035
verified: no, type: precision
value: 75.3014652014652
verified: no, type: recall
value: 80.2
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: 84.7
verified: no, type: f1
value: 82.78689263765207
verified: no, type: precision
value: 82.06705086580087
verified: no, type: recall
value: 84.7
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: 50.33333333333333
verified: no, type: f1
value: 45.461523661523664
verified: no, type: precision
value: 43.93545574795575
verified: no, type: recall
value: 50.33333333333333
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: 6.6000000000000005
verified: no, type: f1
value: 5.442121400446441
verified: no, type: precision
value: 5.146630385487529
verified: no, type: recall
value: 6.6000000000000005
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
verified: no, type: f1
value: 81.04666666666667
verified: no, type: precision
value: 79.25
verified: no, type: recall
value: 85
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: 47.32142857142857
verified: no, type: f1
value: 42.333333333333336
verified: no, type: precision
value: 40.69196428571429
verified: no, type: recall
value: 47.32142857142857
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: 30.735455543358945
verified: no, type: f1
value: 26.73616790022338
verified: no, type: precision
value: 25.397823220451283
verified: no, type: recall
value: 30.735455543358945
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: 25.1
verified: no, type: f1
value: 21.975989896371022
verified: no, type: precision
value: 21.059885632257203
verified: no, type: recall
value: 25.1
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: 94.3
verified: no, type: f1
value: 92.75666666666666
verified: no, type: precision
value: 92.06166666666665
verified: no, type: recall
value: 94.3
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: 94.1
verified: no, type: f1
value: 92.74
verified: no, type: precision
value: 92.09166666666667
verified: no, type: recall
value: 94.1
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: 71.3
verified: no, type: f1
value: 66.922442002442
verified: no, type: precision
value: 65.38249567099568
verified: no, type: recall
value: 71.3
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: 40.300000000000004
verified: no, type: f1
value: 35.78682789299971
verified: no, type: precision
value: 34.66425128716588
verified: no, type: recall
value: 40.300000000000004
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: 96
verified: no, type: f1
value: 94.82333333333334
verified: no, type: precision
value: 94.27833333333334
verified: no, type: recall
value: 96
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: 51.1
verified: no, type: f1
value: 47.179074753133584
verified: no, type: precision
value: 46.06461044702424
verified: no, type: recall
value: 51.1
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: 87.7
verified: no, type: f1
value: 84.71
verified: no, type: precision
value: 83.46166666666667
verified: no, type: recall
value: 87.7
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: 95.8
verified: no, type: f1
value: 94.68333333333334
verified: no, type: precision
value: 94.13333333333334
verified: no, type: recall
value: 95.8
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: 85.39999999999999
verified: no, type: f1
value: 82.5577380952381
verified: no, type: precision
value: 81.36833333333334
verified: no, type: recall
value: 85.39999999999999
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: 21.16788321167883
verified: no, type: f1
value: 16.948865627297987
verified: no, type: precision
value: 15.971932568647897
verified: no, type: recall
value: 21.16788321167883
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: 6.9
verified: no, type: f1
value: 5.515526831658907
verified: no, type: precision
value: 5.141966366966367
verified: no, type: recall
value: 6.9
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: 93.2
verified: no, type: f1
value: 91.39666666666668
verified: no, type: precision
value: 90.58666666666667
verified: no, type: recall
value: 93.2
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: 92.2
verified: no, type: f1
value: 89.95666666666666
verified: no, type: precision
value: 88.92833333333333
verified: no, type: recall
value: 92.2
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: 79.76190476190477
verified: no, type: f1
value: 74.93386243386244
verified: no, type: precision
value: 73.11011904761904
verified: no, type: recall
value: 79.76190476190477
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: 8.799999999999999
verified: no, type: f1
value: 6.921439712248537
verified: no, type: precision
value: 6.489885109680683
verified: no, type: recall
value: 8.799999999999999
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: 45.75569358178054
verified: no, type: f1
value: 40.34699501312631
verified: no, type: precision
value: 38.57886764719063
verified: no, type: recall
value: 45.75569358178054
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: 91.4
verified: no, type: f1
value: 89.08333333333333
verified: no, type: precision
value: 88.01666666666668
verified: no, type: recall
value: 91.4
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: 93.60000000000001
verified: no, type: f1
value: 92.06690476190477
verified: no, type: precision
value: 91.45095238095239
verified: no, type: recall
value: 93.60000000000001
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: 7.5
verified: no, type: f1
value: 6.200363129378736
verified: no, type: precision
value: 5.89115314822466
verified: no, type: recall
value: 7.5
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: 73.59307359307358
verified: no, type: f1
value: 68.38933553219267
verified: no, type: precision
value: 66.62698412698413
verified: no, type: recall
value: 73.59307359307358
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: 69.8473282442748
verified: no, type: f1
value: 64.72373682297346
verified: no, type: precision
value: 62.82834214131924
verified: no, type: recall
value: 69.8473282442748
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: 97.5254730713246
verified: no, type: f1
value: 96.72489082969432
verified: no, type: precision
value: 96.33672974284326
verified: no, type: recall
value: 97.5254730713246
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: 75.6
verified: no, type: f1
value: 72.42746031746033
verified: no, type: precision
value: 71.14036630036631
verified: no, type: recall
value: 75.6
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: 91.24293785310734
verified: no, type: f1
value: 88.86064030131826
verified: no, type: precision
value: 87.73540489642184
verified: no, type: recall
value: 91.24293785310734
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: 6.2
verified: no, type: f1
value: 4.383083659794954
verified: no, type: precision
value: 4.027861324289673
verified: no, type: recall
value: 6.2
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: 86.8
verified: no, type: f1
value: 84.09428571428572
verified: no, type: precision
value: 83.00333333333333
verified: no, type: recall
value: 86.8
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: 60.699999999999996
verified: no, type: f1
value: 56.1584972394755
verified: no, type: precision
value: 54.713456330903135
verified: no, type: recall
value: 60.699999999999996
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: 84.2
verified: no, type: f1
value: 80.66190476190475
verified: no, type: precision
value: 79.19690476190476
verified: no, type: recall
value: 84.2
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: 93.2
verified: no, type: f1
value: 91.33
verified: no, type: precision
value: 90.45
verified: no, type: recall
value: 93.2
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: 6.3
verified: no, type: f1
value: 5.126828976748276
verified: no, type: precision
value: 4.853614328966668
verified: no, type: recall
value: 6.3
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: 81.76943699731903
verified: no, type: f1
value: 77.82873739308057
verified: no, type: precision
value: 76.27622452019234
verified: no, type: recall
value: 81.76943699731903
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: 92.30000000000001
verified: no, type: f1
value: 90.29666666666665
verified: no, type: precision
value: 89.40333333333334
verified: no, type: recall
value: 92.30000000000001
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: 29.249011857707508
verified: no, type: f1
value: 24.561866096392947
verified: no, type: precision
value: 23.356583740215456
verified: no, type: recall
value: 29.249011857707508
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: 77.46478873239437
verified: no, type: f1
value: 73.23943661971832
verified: no, type: precision
value: 71.66666666666667
verified: no, type: recall
value: 77.46478873239437
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: 20.35928143712575
verified: no, type: f1
value: 15.997867865075824
verified: no, type: precision
value: 14.882104658301346
verified: no, type: recall
value: 20.35928143712575
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: 92.2
verified: no, type: f1
value: 90.25999999999999
verified: no, type: precision
value: 89.45333333333335
verified: no, type: recall
value: 92.2
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: 23.15270935960591
verified: no, type: f1
value: 19.65673625772148
verified: no, type: precision
value: 18.793705293464992
verified: no, type: recall
value: 23.15270935960591
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: 59.154929577464785
verified: no, type: f1
value: 52.3868463305083
verified: no, type: precision
value: 50.14938113529662
verified: no, type: recall
value: 59.154929577464785
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: 70.51282051282051
verified: no, type: f1
value: 66.8089133089133
verified: no, type: precision
value: 65.37645687645687
verified: no, type: recall
value: 70.51282051282051
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: 94.6
verified: no, type: f1
value: 93
verified: no, type: precision
value: 92.23333333333333
verified: no, type: recall
value: 94.6
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: 38.62212943632568
verified: no, type: f1
value: 34.3278276962583
verified: no, type: precision
value: 33.07646935732408
verified: no, type: recall
value: 38.62212943632568
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: 28.1
verified: no, type: f1
value: 23.579609223054604
verified: no, type: precision
value: 22.39622774921555
verified: no, type: recall
value: 28.1
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: 88.27361563517914
verified: no, type: f1
value: 85.12486427795874
verified: no, type: precision
value: 83.71335504885994
verified: no, type: recall
value: 88.27361563517914
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: 88.6
verified: no, type: f1
value: 86.39928571428571
verified: no, type: precision
value: 85.4947557997558
verified: no, type: recall
value: 88.6
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: 86.5
verified: no, type: f1
value: 83.77952380952381
verified: no, type: precision
value: 82.67602564102565
verified: no, type: recall
value: 86.5
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: 79.52755905511812
verified: no, type: f1
value: 75.3055868016498
verified: no, type: precision
value: 73.81889763779527
verified: no, type: recall
value: 79.52755905511812
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: 77.9
verified: no, type: f1
value: 73.76261904761905
verified: no, type: precision
value: 72.11670995670995
verified: no, type: recall
value: 77.9
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: 53.8781163434903
verified: no, type: f1
value: 47.25804051288816
verified: no, type: precision
value: 45.0603482390186
verified: no, type: recall
value: 53.8781163434903
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: 91.10000000000001
verified: no, type: f1
value: 88.88
verified: no, type: precision
value: 87.96333333333334
verified: no, type: recall
value: 91.10000000000001
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: 38.46153846153847
verified: no, type: f1
value: 34.43978243978244
verified: no, type: precision
value: 33.429487179487175
verified: no, type: recall
value: 38.46153846153847
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: 88.9
verified: no, type: f1
value: 86.19888888888887
verified: no, type: precision
value: 85.07440476190476
verified: no, type: recall
value: 88.9
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: 85.9
verified: no, type: f1
value: 82.58857142857143
verified: no, type: precision
value: 81.15666666666667
verified: no, type: recall
value: 85.9
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: 86.8
verified: no, type: f1
value: 83.36999999999999
verified: no, type: precision
value: 81.86833333333333
verified: no, type: recall
value: 86.8
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: 68.51415094339622
verified: no, type: f1
value: 63.195000099481234
verified: no, type: precision
value: 61.394033442972116
verified: no, type: recall
value: 68.51415094339622
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: 88.5
verified: no, type: f1
value: 86.14603174603175
verified: no, type: precision
value: 85.1162037037037
verified: no, type: recall
value: 88.5
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: 95.62043795620438
verified: no, type: f1
value: 94.40389294403892
verified: no, type: precision
value: 93.7956204379562
verified: no, type: recall
value: 95.62043795620438
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: 81.8
verified: no, type: f1
value: 78.6532178932179
verified: no, type: precision
value: 77.46348795840176
verified: no, type: recall
value: 81.8
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.603
verified: no, type: map_at_10
value: 8.5
verified: no, type: map_at_100
value: 12.985
verified: no, type: map_at_1000
value: 14.466999999999999
verified: no, type: map_at_3
value: 4.859999999999999
verified: no, type: map_at_5
value: 5.817
verified: no, type: mrr_at_1
value: 28.571
verified: no, type: mrr_at_10
value: 42.331
verified: no, type: mrr_at_100
value: 43.592999999999996
verified: no, type: mrr_at_1000
value: 43.592999999999996
verified: no, type: mrr_at_3
value: 38.435
verified: no, type: mrr_at_5
value: 39.966
verified: no, type: ndcg_at_1
value: 26.531
verified: no, type: ndcg_at_10
value: 21.353
verified: no, type: ndcg_at_100
value: 31.087999999999997
verified: no, type: ndcg_at_1000
value: 43.163000000000004
verified: no, type: ndcg_at_3
value: 22.999
verified: no, type: ndcg_at_5
value: 21.451
verified: no, type: precision_at_1
value: 28.571
verified: no, type: precision_at_10
value: 19.387999999999998
verified: no, type: precision_at_100
value: 6.265
verified: no, type: precision_at_1000
value: 1.4160000000000001
verified: no, type: precision_at_3
value: 24.490000000000002
verified: no, type: precision_at_5
value: 21.224
verified: no, type: recall_at_1
value: 2.603
verified: no, type: recall_at_10
value: 14.474
verified: no, type: recall_at_100
value: 40.287
verified: no, type: recall_at_1000
value: 76.606
verified: no, type: recall_at_3
value: 5.978
verified: no, type: recall_at_5
value: 7.819
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 69.7848
verified: no, type: ap
value: 13.661023167088224
verified: no, type: f1
value: 53.61686134460943
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 61.28183361629882
verified: no, type: f1
value: 61.55481034919965
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 35.972128420092396
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: 85.59933241938367
verified: no, type: cos_sim_ap
value: 72.20760361208136
verified: no, type: cos_sim_f1
value: 66.4447731755424
verified: no, type: cos_sim_precision
value: 62.35539102267469
verified: no, type: cos_sim_recall
value: 71.10817941952506
verified: no, type: dot_accuracy
value: 78.98313166835548
verified: no, type: dot_ap
value: 44.492521645493795
verified: no, type: dot_f1
value: 45.814889336016094
verified: no, type: dot_precision
value: 37.02439024390244
verified: no, type: dot_recall
value: 60.07915567282321
verified: no, type: euclidean_accuracy
value: 85.3907134767837
verified: no, type: euclidean_ap
value: 71.53847289080343
verified: no, type: euclidean_f1
value: 65.95952206778834
verified: no, type: euclidean_precision
value: 61.31006346328196
verified: no, type: euclidean_recall
value: 71.37203166226914
verified: no, type: manhattan_accuracy
value: 85.40859510043511
verified: no, type: manhattan_ap
value: 71.49664104395515
verified: no, type: manhattan_f1
value: 65.98569969356485
verified: no, type: manhattan_precision
value: 63.928748144482924
verified: no, type: manhattan_recall
value: 68.17941952506597
verified: no, type: max_accuracy
value: 85.59933241938367
verified: no, type: max_ap
value: 72.20760361208136
verified: no, type: max_f1
value: 66.4447731755424
verified: no, task: type: PairClassification
dataset: type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 88.83261536073273
verified: no, type: cos_sim_ap
value: 85.48178133644264
verified: no, type: cos_sim_f1
value: 77.87816307403935
verified: no, type: cos_sim_precision
value: 75.88953021114926
verified: no, type: cos_sim_recall
value: 79.97382198952879
verified: no, type: dot_accuracy
value: 79.76287499514883
verified: no, type: dot_ap
value: 59.17438838475084
verified: no, type: dot_f1
value: 56.34566667855996
verified: no, type: dot_precision
value: 52.50349092359864
verified: no, type: dot_recall
value: 60.794579611949494
verified: no, type: euclidean_accuracy
value: 88.76857996662397
verified: no, type: euclidean_ap
value: 85.22764834359887
verified: no, type: euclidean_f1
value: 77.65379751543554
verified: no, type: euclidean_precision
value: 75.11152683839401
verified: no, type: euclidean_recall
value: 80.37419156144134
verified: no, type: manhattan_accuracy
value: 88.6987231730508
verified: no, type: manhattan_ap
value: 85.18907981724007
verified: no, type: manhattan_f1
value: 77.51967028849757
verified: no, type: manhattan_precision
value: 75.49992701795358
verified: no, type: manhattan_recall
value: 79.65044656606098
verified: no, type: max_accuracy
value: 88.83261536073273
verified: no, type: max_ap
value: 85.48178133644264
verified: no, type: max_f1
value: 77.87816307403935
verified: no
language: multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lo, lt, lv, mg, mk, ml, mn, mr, ms, my, ne, nl, no, om, or, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, so, sq, sr, su, sv, sw, ta, te, th, tl, tr, ug, uk, ur, uz, vi, xh, yi, zh
license: mit
Likes: 0 | All-time downloads: 61
Created: 2025-10-08 11:35:16