Model: thuan220401/multilingual-e5-large
Author: thuan220401
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, xlm-roberta, mteb, Sentence Transformers, sentence-similarity, feature-extraction, 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, feature-extraction, sentence-transformers
model-index: name: multilingual-e5-large
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 79.05970149253731
verified: no, type: ap
value: 43.486574390835635
verified: no, type: f1
value: 73.32700092140148
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (de)
config: de
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 71.22055674518201
verified: no, type: ap
value: 81.55756710830498
verified: no, type: f1
value: 69.28271787752661
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: 80.41979010494754
verified: no, type: ap
value: 29.34879922376344
verified: no, type: f1
value: 67.62475449011278
verified: no, task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (ja)
config: ja
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 77.8372591006424
verified: no, type: ap
value: 26.557560591210738
verified: no, type: f1
value: 64.96619417368707
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 93.489875
verified: no, type: ap
value: 90.98758636917603
verified: no, type: f1
value: 93.48554819717332
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: 47.564
verified: no, type: f1
value: 46.75122173518047
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: 45.400000000000006
verified: no, type: f1
value: 44.17195682400632
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: 43.068
verified: no, type: f1
value: 42.38155696855596
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: 41.89
verified: no, type: f1
value: 40.84407321682663
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: 40.120000000000005
verified: no, type: f1
value: 39.522976223819114
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: 38.832
verified: no, type: f1
value: 38.0392533394713
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.725
verified: no, type: map_at_10
value: 46.055
verified: no, type: map_at_100
value: 46.900999999999996
verified: no, type: map_at_1000
value: 46.911
verified: no, type: map_at_3
value: 41.548
verified: no, type: map_at_5
value: 44.297
verified: no, type: mrr_at_1
value: 31.152
verified: no, type: mrr_at_10
value: 46.231
verified: no, type: mrr_at_100
value: 47.07
verified: no, type: mrr_at_1000
value: 47.08
verified: no, type: mrr_at_3
value: 41.738
verified: no, type: mrr_at_5
value: 44.468999999999994
verified: no, type: ndcg_at_1
value: 30.725
verified: no, type: ndcg_at_10
value: 54.379999999999995
verified: no, type: ndcg_at_100
value: 58.138
verified: no, type: ndcg_at_1000
value: 58.389
verified: no, type: ndcg_at_3
value: 45.156
verified: no, type: ndcg_at_5
value: 50.123
verified: no, type: precision_at_1
value: 30.725
verified: no, type: precision_at_10
value: 8.087
verified: no, type: precision_at_100
value: 0.9769999999999999
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 18.54
verified: no, type: precision_at_5
value: 13.542000000000002
verified: no, type: recall_at_1
value: 30.725
verified: no, type: recall_at_10
value: 80.868
verified: no, type: recall_at_100
value: 97.653
verified: no, type: recall_at_1000
value: 99.57300000000001
verified: no, type: recall_at_3
value: 55.619
verified: no, type: recall_at_5
value: 67.71000000000001
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: 44.30960650674069
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: 38.427074197498996
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 60.28270056031872
verified: no, type: mrr
value: 74.38332673789738
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: 84.05942144105269
verified: no, type: cos_sim_spearman
value: 82.51212105850809
verified: no, type: euclidean_pearson
value: 81.95639829909122
verified: no, type: euclidean_spearman
value: 82.3717564144213
verified: no, type: manhattan_pearson
value: 81.79273425468256
verified: no, type: manhattan_spearman
value: 82.20066817871039
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: 99.46764091858039
verified: no, type: f1
value: 99.37717466945023
verified: no, type: precision
value: 99.33194154488518
verified: no, type: recall
value: 99.46764091858039
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: 98.29407880255337
verified: no, type: f1
value: 98.11248073959938
verified: no, type: precision
value: 98.02443319392472
verified: no, type: recall
value: 98.29407880255337
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: 97.79009352268791
verified: no, type: f1
value: 97.5176076665512
verified: no, type: precision
value: 97.38136473848286
verified: no, type: recall
value: 97.79009352268791
verified: no, task: type: BitextMining
dataset: type: mteb/bucc-bitext-mining
name: MTEB BUCC (zh-en)
config: zh-en
split: test
revision: d51519689f32196a32af33b075a01d0e7c51e252
metrics: type: accuracy
value: 99.26276987888363
verified: no, type: f1
value: 99.20133403545726
verified: no, type: precision
value: 99.17500438827453
verified: no, type: recall
value: 99.26276987888363
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 84.72727272727273
verified: no, type: f1
value: 84.67672206031433
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: 35.34220182511161
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: 33.4987096128766
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 25.558249999999997
verified: no, type: map_at_10
value: 34.44425000000001
verified: no, type: map_at_100
value: 35.59833333333333
verified: no, type: map_at_1000
value: 35.706916666666665
verified: no, type: map_at_3
value: 31.691749999999995
verified: no, type: map_at_5
value: 33.252916666666664
verified: no, type: mrr_at_1
value: 30.252666666666666
verified: no, type: mrr_at_10
value: 38.60675
verified: no, type: mrr_at_100
value: 39.42666666666666
verified: no, type: mrr_at_1000
value: 39.48408333333334
verified: no, type: mrr_at_3
value: 36.17441666666665
verified: no, type: mrr_at_5
value: 37.56275
verified: no, type: ndcg_at_1
value: 30.252666666666666
verified: no, type: ndcg_at_10
value: 39.683
verified: no, type: ndcg_at_100
value: 44.68541666666667
verified: no, type: ndcg_at_1000
value: 46.94316666666668
verified: no, type: ndcg_at_3
value: 34.961749999999995
verified: no, type: ndcg_at_5
value: 37.215666666666664
verified: no, type: precision_at_1
value: 30.252666666666666
verified: no, type: precision_at_10
value: 6.904166666666667
verified: no, type: precision_at_100
value: 1.0989999999999995
verified: no, type: precision_at_1000
value: 0.14733333333333334
verified: no, type: precision_at_3
value: 16.037666666666667
verified: no, type: precision_at_5
value: 11.413583333333333
verified: no, type: recall_at_1
value: 25.558249999999997
verified: no, type: recall_at_10
value: 51.13341666666666
verified: no, type: recall_at_100
value: 73.08366666666667
verified: no, type: recall_at_1000
value: 88.79483333333334
verified: no, type: recall_at_3
value: 37.989083333333326
verified: no, type: recall_at_5
value: 43.787833333333325
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 10.338
verified: no, type: map_at_10
value: 18.360000000000003
verified: no, type: map_at_100
value: 19.942
verified: no, type: map_at_1000
value: 20.134
verified: no, type: map_at_3
value: 15.174000000000001
verified: no, type: map_at_5
value: 16.830000000000002
verified: no, type: mrr_at_1
value: 23.257
verified: no, type: mrr_at_10
value: 33.768
verified: no, type: mrr_at_100
value: 34.707
verified: no, type: mrr_at_1000
value: 34.766000000000005
verified: no, type: mrr_at_3
value: 30.977
verified: no, type: mrr_at_5
value: 32.528
verified: no, type: ndcg_at_1
value: 23.257
verified: no, type: ndcg_at_10
value: 25.733
verified: no, type: ndcg_at_100
value: 32.288
verified: no, type: ndcg_at_1000
value: 35.992000000000004
verified: no, type: ndcg_at_3
value: 20.866
verified: no, type: ndcg_at_5
value: 22.612
verified: no, type: precision_at_1
value: 23.257
verified: no, type: precision_at_10
value: 8.124
verified: no, type: precision_at_100
value: 1.518
verified: no, type: precision_at_1000
value: 0.219
verified: no, type: precision_at_3
value: 15.679000000000002
verified: no, type: precision_at_5
value: 12.117
verified: no, type: recall_at_1
value: 10.338
verified: no, type: recall_at_10
value: 31.154
verified: no, type: recall_at_100
value: 54.161
verified: no, type: recall_at_1000
value: 75.21900000000001
verified: no, type: recall_at_3
value: 19.427
verified: no, type: recall_at_5
value: 24.214
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 8.498
verified: no, type: map_at_10
value: 19.103
verified: no, type: map_at_100
value: 27.375
verified: no, type: map_at_1000
value: 28.981
verified: no, type: map_at_3
value: 13.764999999999999
verified: no, type: map_at_5
value: 15.950000000000001
verified: no, type: mrr_at_1
value: 65.5
verified: no, type: mrr_at_10
value: 74.53800000000001
verified: no, type: mrr_at_100
value: 74.71799999999999
verified: no, type: mrr_at_1000
value: 74.725
verified: no, type: mrr_at_3
value: 72.792
verified: no, type: mrr_at_5
value: 73.554
verified: no, type: ndcg_at_1
value: 53.37499999999999
verified: no, type: ndcg_at_10
value: 41.286
verified: no, type: ndcg_at_100
value: 45.972
verified: no, type: ndcg_at_1000
value: 53.123
verified: no, type: ndcg_at_3
value: 46.172999999999995
verified: no, type: ndcg_at_5
value: 43.033
verified: no, type: precision_at_1
value: 65.5
verified: no, type: precision_at_10
value: 32.725
verified: no, type: precision_at_100
value: 10.683
verified: no, type: precision_at_1000
value: 1.978
verified: no, type: precision_at_3
value: 50
verified: no, type: precision_at_5
value: 41.349999999999994
verified: no, type: recall_at_1
value: 8.498
verified: no, type: recall_at_10
value: 25.070999999999998
verified: no, type: recall_at_100
value: 52.383
verified: no, type: recall_at_1000
value: 74.91499999999999
verified: no, type: recall_at_3
value: 15.207999999999998
verified: no, type: recall_at_5
value: 18.563
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 46.5
verified: no, type: f1
value: 41.93833713984145
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 67.914
verified: no, type: map_at_10
value: 78.10000000000001
verified: no, type: map_at_100
value: 78.333
verified: no, type: map_at_1000
value: 78.346
verified: no, type: map_at_3
value: 76.626
verified: no, type: map_at_5
value: 77.627
verified: no, type: mrr_at_1
value: 72.74199999999999
verified: no, type: mrr_at_10
value: 82.414
verified: no, type: mrr_at_100
value: 82.511
verified: no, type: mrr_at_1000
value: 82.513
verified: no, type: mrr_at_3
value: 81.231
verified: no, type: mrr_at_5
value: 82.065
verified: no, type: ndcg_at_1
value: 72.74199999999999
verified: no, type: ndcg_at_10
value: 82.806
verified: no, type: ndcg_at_100
value: 83.677
verified: no, type: ndcg_at_1000
value: 83.917
verified: no, type: ndcg_at_3
value: 80.305
verified: no, type: ndcg_at_5
value: 81.843
verified: no, type: precision_at_1
value: 72.74199999999999
verified: no, type: precision_at_10
value: 10.24
verified: no, type: precision_at_100
value: 1.089
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 31.268
verified: no, type: precision_at_5
value: 19.706000000000003
verified: no, type: recall_at_1
value: 67.914
verified: no, type: recall_at_10
value: 92.889
verified: no, type: recall_at_100
value: 96.42699999999999
verified: no, type: recall_at_1000
value: 97.92
verified: no, type: recall_at_3
value: 86.21
verified: no, type: recall_at_5
value: 90.036
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.166
verified: no, type: map_at_10
value: 35.57
verified: no, type: map_at_100
value: 37.405
verified: no, type: map_at_1000
value: 37.564
verified: no, type: map_at_3
value: 30.379
verified: no, type: map_at_5
value: 33.324
verified: no, type: mrr_at_1
value: 43.519000000000005
verified: no, type: mrr_at_10
value: 51.556000000000004
verified: no, type: mrr_at_100
value: 52.344
verified: no, type: mrr_at_1000
value: 52.373999999999995
verified: no, type: mrr_at_3
value: 48.868
verified: no, type: mrr_at_5
value: 50.319
verified: no, type: ndcg_at_1
value: 43.519000000000005
verified: no, type: ndcg_at_10
value: 43.803
verified: no, type: ndcg_at_100
value: 50.468999999999994
verified: no, type: ndcg_at_1000
value: 53.111
verified: no, type: ndcg_at_3
value: 38.893
verified: no, type: ndcg_at_5
value: 40.653
verified: no, type: precision_at_1
value: 43.519000000000005
verified: no, type: precision_at_10
value: 12.253
verified: no, type: precision_at_100
value: 1.931
verified: no, type: precision_at_1000
value: 0.242
verified: no, type: precision_at_3
value: 25.617
verified: no, type: precision_at_5
value: 19.383
verified: no, type: recall_at_1
value: 22.166
verified: no, type: recall_at_10
value: 51.6
verified: no, type: recall_at_100
value: 76.574
verified: no, type: recall_at_1000
value: 92.192
verified: no, type: recall_at_3
value: 34.477999999999994
verified: no, type: recall_at_5
value: 41.835
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 39.041
verified: no, type: map_at_10
value: 62.961999999999996
verified: no, type: map_at_100
value: 63.79899999999999
verified: no, type: map_at_1000
value: 63.854
verified: no, type: map_at_3
value: 59.399
verified: no, type: map_at_5
value: 61.669
verified: no, type: mrr_at_1
value: 78.082
verified: no, type: mrr_at_10
value: 84.321
verified: no, type: mrr_at_100
value: 84.49600000000001
verified: no, type: mrr_at_1000
value: 84.502
verified: no, type: mrr_at_3
value: 83.421
verified: no, type: mrr_at_5
value: 83.977
verified: no, type: ndcg_at_1
value: 78.082
verified: no, type: ndcg_at_10
value: 71.229
verified: no, type: ndcg_at_100
value: 74.10900000000001
verified: no, type: ndcg_at_1000
value: 75.169
verified: no, type: ndcg_at_3
value: 66.28699999999999
verified: no, type: ndcg_at_5
value: 69.084
verified: no, type: precision_at_1
value: 78.082
verified: no, type: precision_at_10
value: 14.993
verified: no, type: precision_at_100
value: 1.7239999999999998
verified: no, type: precision_at_1000
value: 0.186
verified: no, type: precision_at_3
value: 42.737
verified: no, type: precision_at_5
value: 27.843
verified: no, type: recall_at_1
value: 39.041
verified: no, type: recall_at_10
value: 74.96300000000001
verified: no, type: recall_at_100
value: 86.199
verified: no, type: recall_at_1000
value: 93.228
verified: no, type: recall_at_3
value: 64.105
verified: no, type: recall_at_5
value: 69.608
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 90.23160000000001
verified: no, type: ap
value: 85.5674856808308
verified: no, type: f1
value: 90.18033354786317
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 24.091
verified: no, type: map_at_10
value: 36.753
verified: no, type: map_at_100
value: 37.913000000000004
verified: no, type: map_at_1000
value: 37.958999999999996
verified: no, type: map_at_3
value: 32.818999999999996
verified: no, type: map_at_5
value: 35.171
verified: no, type: mrr_at_1
value: 24.742
verified: no, type: mrr_at_10
value: 37.285000000000004
verified: no, type: mrr_at_100
value: 38.391999999999996
verified: no, type: mrr_at_1000
value: 38.431
verified: no, type: mrr_at_3
value: 33.440999999999995
verified: no, type: mrr_at_5
value: 35.75
verified: no, type: ndcg_at_1
value: 24.742
verified: no, type: ndcg_at_10
value: 43.698
verified: no, type: ndcg_at_100
value: 49.145
verified: no, type: ndcg_at_1000
value: 50.23800000000001
verified: no, type: ndcg_at_3
value: 35.769
verified: no, type: ndcg_at_5
value: 39.961999999999996
verified: no, type: precision_at_1
value: 24.742
verified: no, type: precision_at_10
value: 6.7989999999999995
verified: no, type: precision_at_100
value: 0.95
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 15.096000000000002
verified: no, type: precision_at_5
value: 11.183
verified: no, type: recall_at_1
value: 24.091
verified: no, type: recall_at_10
value: 65.068
verified: no, type: recall_at_100
value: 89.899
verified: no, type: recall_at_1000
value: 98.16
verified: no, type: recall_at_3
value: 43.68
verified: no, type: recall_at_5
value: 53.754999999999995
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.66621067031465
verified: no, type: f1
value: 93.49622853272142
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (de)
config: de
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 91.94702733164272
verified: no, type: f1
value: 91.17043441745282
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (es)
config: es
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 92.20146764509674
verified: no, type: f1
value: 91.98359080555608
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (fr)
config: fr
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 88.99780770435328
verified: no, type: f1
value: 89.19746342724068
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (hi)
config: hi
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 89.78486912871998
verified: no, type: f1
value: 89.24578823628642
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (th)
config: th
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 88.74502712477394
verified: no, type: f1
value: 89.00297573881542
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 77.9046967624259
verified: no, type: f1
value: 59.36787125785957
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (de)
config: de
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 74.5280360664976
verified: no, type: f1
value: 57.17723440888718
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (es)
config: es
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 75.44029352901934
verified: no, type: f1
value: 54.052855531072964
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (fr)
config: fr
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 70.5606013153774
verified: no, type: f1
value: 52.62215934386531
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (hi)
config: hi
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 73.11581211903908
verified: no, type: f1
value: 52.341291845645465
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (th)
config: th
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 74.28933092224233
verified: no, type: f1
value: 57.07918745504911
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: 62.38063214525892
verified: no, type: f1
value: 59.46463723443009
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: 56.06926698049766
verified: no, type: f1
value: 52.49084283283562
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: 60.74983187626093
verified: no, type: f1
value: 56.960640620165904
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (az)
config: az
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 64.86550100874243
verified: no, type: f1
value: 62.47370548140688
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: 63.971082716879636
verified: no, type: f1
value: 61.03812421957381
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: 54.98318762609282
verified: no, type: f1
value: 51.51207916008392
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: 69.45527908540686
verified: no, type: f1
value: 66.16631905400318
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: 69.32750504371216
verified: no, type: f1
value: 66.16755288646591
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: 69.09213180901143
verified: no, type: f1
value: 66.95654394661507
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: 73.75588433086752
verified: no, type: f1
value: 71.79973779656923
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: 70.49428379287154
verified: no, type: f1
value: 68.37494379215734
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: 69.90921318090115
verified: no, type: f1
value: 66.79517376481645
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: 70.12104909213181
verified: no, type: f1
value: 67.29448842879584
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: 69.34095494283793
verified: no, type: f1
value: 67.01134288992947
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: 67.61264290517822
verified: no, type: f1
value: 64.68730512660757
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: 67.79757901815738
verified: no, type: f1
value: 65.24938539425598
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (hu)
config: hu
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.68728984532616
verified: no, type: f1
value: 67.0487169762553
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: 62.07464694014795
verified: no, type: f1
value: 59.183532276789286
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: 70.04707464694015
verified: no, type: f1
value: 67.66829629003848
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: 62.42434431741762
verified: no, type: f1
value: 59.01617226544757
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: 70.53127101546738
verified: no, type: f1
value: 68.10033760906255
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: 72.50504371217215
verified: no, type: f1
value: 69.74931103158923
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (jv)
config: jv
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 57.91190316072628
verified: no, type: f1
value: 54.05551136648796
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: 51.78211163416275
verified: no, type: f1
value: 49.874888544058535
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: 47.017484868863484
verified: no, type: f1
value: 44.53364263352014
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: 62.16207128446537
verified: no, type: f1
value: 59.01185692320829
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: 69.42501681237391
verified: no, type: f1
value: 67.13169450166086
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: 67.0780094149294
verified: no, type: f1
value: 64.41720167850707
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: 65.57162071284466
verified: no, type: f1
value: 62.414138683804424
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: 61.71149966375252
verified: no, type: f1
value: 58.594805125087234
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: 66.03900470746471
verified: no, type: f1
value: 63.87937257883887
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: 60.8776059179556
verified: no, type: f1
value: 57.48587618059131
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: 69.87895090786819
verified: no, type: f1
value: 66.8141299430347
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: 70.45057162071285
verified: no, type: f1
value: 67.46444039673516
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: 71.546738399462
verified: no, type: f1
value: 68.63640876702655
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: 70.72965702757229
verified: no, type: f1
value: 68.54119560379115
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: 68.35574983187625
verified: no, type: f1
value: 65.88844917691927
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: 71.70477471418964
verified: no, type: f1
value: 69.19665697061978
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (sl)
config: sl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 67.0880968392737
verified: no, type: f1
value: 64.76962317666086
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: 65.18493611297916
verified: no, type: f1
value: 62.49984559035371
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: 71.75857431069265
verified: no, type: f1
value: 69.20053687623418
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: 58.500336247478145
verified: no, type: f1
value: 55.2972398687929
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: 62.68997982515132
verified: no, type: f1
value: 59.36848202755348
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: 63.01950235373235
verified: no, type: f1
value: 60.09351954625423
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: 68.29186281102892
verified: no, type: f1
value: 67.57860496703447
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: 64.77471418964357
verified: no, type: f1
value: 61.913983147713836
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: 69.87222595830532
verified: no, type: f1
value: 66.03679033708141
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: 64.04505716207127
verified: no, type: f1
value: 61.28569169817908
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: 69.38466711499663
verified: no, type: f1
value: 67.20532357036844
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: 71.12306657700067
verified: no, type: f1
value: 68.91251226588182
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: 66.20040349697378
verified: no, type: f1
value: 66.02657347714175
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: 68.73907195696032
verified: no, type: f1
value: 66.98484521791418
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: 60.58843308675185
verified: no, type: f1
value: 58.95591723092005
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: 66.22730329522528
verified: no, type: f1
value: 66.0894499712115
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: 66.48285137861465
verified: no, type: f1
value: 65.21963176785157
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: 67.74714189643578
verified: no, type: f1
value: 66.8212192745412
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: 59.09213180901143
verified: no, type: f1
value: 56.70735546356339
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: 75.05716207128448
verified: no, type: f1
value: 74.8413712365364
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: 74.69737726967047
verified: no, type: f1
value: 74.7664341963
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: 73.90383322125084
verified: no, type: f1
value: 73.59201554448323
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: 77.51176866173503
verified: no, type: f1
value: 77.46104434577758
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: 74.31069266980496
verified: no, type: f1
value: 74.61048660675635
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: 72.95225285810356
verified: no, type: f1
value: 72.33160006574627
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: 73.12373907195696
verified: no, type: f1
value: 73.20921012557481
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: 73.86684599865501
verified: no, type: f1
value: 73.82348774610831
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: 71.40215198386012
verified: no, type: f1
value: 71.11945183971858
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: 72.12844653665098
verified: no, type: f1
value: 71.34450495911766
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (hu)
config: hu
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 74.52252858103566
verified: no, type: f1
value: 73.98878711342999
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: 64.93611297915265
verified: no, type: f1
value: 63.723200467653385
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: 74.11903160726295
verified: no, type: f1
value: 73.82138439467096
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: 67.15198386012105
verified: no, type: f1
value: 66.02172193802167
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: 74.32414256893072
verified: no, type: f1
value: 74.30943421170574
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: 77.46805648957633
verified: no, type: f1
value: 77.62808409298209
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: 63.318762609280434
verified: no, type: f1
value: 62.094284066075076
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: 58.34902488231338
verified: no, type: f1
value: 57.12893860987984
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: 50.88433086751849
verified: no, type: f1
value: 48.2272350802058
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: 66.4425016812374
verified: no, type: f1
value: 64.61463095996173
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: 75.04707464694015
verified: no, type: f1
value: 75.05099199098998
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: 70.50437121721586
verified: no, type: f1
value: 69.83397721096314
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: 69.94283792871553
verified: no, type: f1
value: 68.8704663703913
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: 64.79488903833222
verified: no, type: f1
value: 63.615424063345436
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: 69.88231338264963
verified: no, type: f1
value: 68.57892302593237
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: 63.248150638870214
verified: no, type: f1
value: 61.06680605338809
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: 74.84196368527236
verified: no, type: f1
value: 74.52566464968763
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: 74.8285137861466
verified: no, type: f1
value: 74.8853197608802
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: 74.13248150638869
verified: no, type: f1
value: 74.3982040999179
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: 73.49024882313383
verified: no, type: f1
value: 73.82153848368573
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: 71.72158708809684
verified: no, type: f1
value: 71.85049433180541
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: 75.137861466039
verified: no, type: f1
value: 75.37628348188467
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: 71.86953597848016
verified: no, type: f1
value: 71.87537624521661
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: 70.27572293207801
verified: no, type: f1
value: 68.80017302344231
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: 76.09952925353059
verified: no, type: f1
value: 76.07992707688408
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: 63.140551445864155
verified: no, type: f1
value: 61.73855010331415
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: 66.27774041694687
verified: no, type: f1
value: 64.83664868894539
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: 66.69468728984533
verified: no, type: f1
value: 64.76239666920868
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: 73.44653665097512
verified: no, type: f1
value: 73.14646052013873
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: 67.71351714862139
verified: no, type: f1
value: 66.67212180163382
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: 73.9946200403497
verified: no, type: f1
value: 73.87348793725525
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: 68.15400134498992
verified: no, type: f1
value: 67.09433241421094
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: 73.11365164761264
verified: no, type: f1
value: 73.59502539433753
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: 76.82582380632145
verified: no, type: f1
value: 76.89992945316313
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: 71.81237390719569
verified: no, type: f1
value: 72.36499770986265
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics: type: v_measure
value: 31.480506569594695
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: 29.71252128004552
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.421396787056548
verified: no, type: mrr
value: 32.48155274872267
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.595
verified: no, type: map_at_10
value: 12.642000000000001
verified: no, type: map_at_100
value: 15.726
verified: no, type: map_at_1000
value: 17.061999999999998
verified: no, type: map_at_3
value: 9.125
verified: no, type: map_at_5
value: 10.866000000000001
verified: no, type: mrr_at_1
value: 43.344
verified: no, type: mrr_at_10
value: 52.227999999999994
verified: no, type: mrr_at_100
value: 52.898999999999994
verified: no, type: mrr_at_1000
value: 52.944
verified: no, type: mrr_at_3
value: 49.845
verified: no, type: mrr_at_5
value: 51.115
verified: no, type: ndcg_at_1
value: 41.949999999999996
verified: no, type: ndcg_at_10
value: 33.995
verified: no, type: ndcg_at_100
value: 30.869999999999997
verified: no, type: ndcg_at_1000
value: 39.487
verified: no, type: ndcg_at_3
value: 38.903999999999996
verified: no, type: ndcg_at_5
value: 37.236999999999995
verified: no, type: precision_at_1
value: 43.344
verified: no, type: precision_at_10
value: 25.480000000000004
verified: no, type: precision_at_100
value: 7.672
verified: no, type: precision_at_1000
value: 2.028
verified: no, type: precision_at_3
value: 36.636
verified: no, type: precision_at_5
value: 32.632
verified: no, type: recall_at_1
value: 5.595
verified: no, type: recall_at_10
value: 16.466
verified: no, type: recall_at_100
value: 31.226
verified: no, type: recall_at_1000
value: 62.778999999999996
verified: no, type: recall_at_3
value: 9.931
verified: no, type: recall_at_5
value: 12.884
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 40.414
verified: no, type: map_at_10
value: 56.754000000000005
verified: no, type: map_at_100
value: 57.457
verified: no, type: map_at_1000
value: 57.477999999999994
verified: no, type: map_at_3
value: 52.873999999999995
verified: no, type: map_at_5
value: 55.175
verified: no, type: mrr_at_1
value: 45.278
verified: no, type: mrr_at_10
value: 59.192
verified: no, type: mrr_at_100
value: 59.650000000000006
verified: no, type: mrr_at_1000
value: 59.665
verified: no, type: mrr_at_3
value: 56.141
verified: no, type: mrr_at_5
value: 57.998000000000005
verified: no, type: ndcg_at_1
value: 45.278
verified: no, type: ndcg_at_10
value: 64.056
verified: no, type: ndcg_at_100
value: 66.89
verified: no, type: ndcg_at_1000
value: 67.364
verified: no, type: ndcg_at_3
value: 56.97
verified: no, type: ndcg_at_5
value: 60.719
verified: no, type: precision_at_1
value: 45.278
verified: no, type: precision_at_10
value: 9.994
verified: no, type: precision_at_100
value: 1.165
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 25.512
verified: no, type: precision_at_5
value: 17.509
verified: no, type: recall_at_1
value: 40.414
verified: no, type: recall_at_10
value: 83.596
verified: no, type: recall_at_100
value: 95.72
verified: no, type: recall_at_1000
value: 99.24
verified: no, type: recall_at_3
value: 65.472
verified: no, type: recall_at_5
value: 74.039
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 70.352
verified: no, type: map_at_10
value: 84.369
verified: no, type: map_at_100
value: 85.02499999999999
verified: no, type: map_at_1000
value: 85.04
verified: no, type: map_at_3
value: 81.42399999999999
verified: no, type: map_at_5
value: 83.279
verified: no, type: mrr_at_1
value: 81.05
verified: no, type: mrr_at_10
value: 87.401
verified: no, type: mrr_at_100
value: 87.504
verified: no, type: mrr_at_1000
value: 87.505
verified: no, type: mrr_at_3
value: 86.443
verified: no, type: mrr_at_5
value: 87.10799999999999
verified: no, type: ndcg_at_1
value: 81.04
verified: no, type: ndcg_at_10
value: 88.181
verified: no, type: ndcg_at_100
value: 89.411
verified: no, type: ndcg_at_1000
value: 89.507
verified: no, type: ndcg_at_3
value: 85.28099999999999
verified: no, type: ndcg_at_5
value: 86.888
verified: no, type: precision_at_1
value: 81.04
verified: no, type: precision_at_10
value: 13.406
verified: no, type: precision_at_100
value: 1.5350000000000001
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.31
verified: no, type: precision_at_5
value: 24.54
verified: no, type: recall_at_1
value: 70.352
verified: no, type: recall_at_10
value: 95.358
verified: no, type: recall_at_100
value: 99.541
verified: no, type: recall_at_1000
value: 99.984
verified: no, type: recall_at_3
value: 87.111
verified: no, type: recall_at_5
value: 91.643
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 46.54068723291946
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: 63.216287629895994
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.023000000000001
verified: no, type: map_at_10
value: 10.071
verified: no, type: map_at_100
value: 11.892
verified: no, type: map_at_1000
value: 12.196
verified: no, type: map_at_3
value: 7.234
verified: no, type: map_at_5
value: 8.613999999999999
verified: no, type: mrr_at_1
value: 19.900000000000002
verified: no, type: mrr_at_10
value: 30.516
verified: no, type: mrr_at_100
value: 31.656000000000002
verified: no, type: mrr_at_1000
value: 31.723000000000003
verified: no, type: mrr_at_3
value: 27.400000000000002
verified: no, type: mrr_at_5
value: 29.270000000000003
verified: no, type: ndcg_at_1
value: 19.900000000000002
verified: no, type: ndcg_at_10
value: 17.474
verified: no, type: ndcg_at_100
value: 25.020999999999997
verified: no, type: ndcg_at_1000
value: 30.728
verified: no, type: ndcg_at_3
value: 16.588
verified: no, type: ndcg_at_5
value: 14.498
verified: no, type: precision_at_1
value: 19.900000000000002
verified: no, type: precision_at_10
value: 9.139999999999999
verified: no, type: precision_at_100
value: 2.011
verified: no, type: precision_at_1000
value: 0.33899999999999997
verified: no, type: precision_at_3
value: 15.667
verified: no, type: precision_at_5
value: 12.839999999999998
verified: no, type: recall_at_1
value: 4.023000000000001
verified: no, type: recall_at_10
value: 18.497
verified: no, type: recall_at_100
value: 40.8
verified: no, type: recall_at_1000
value: 68.812
verified: no, type: recall_at_3
value: 9.508
verified: no, type: recall_at_5
value: 12.983
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: 83.967008785134
verified: no, type: cos_sim_spearman
value: 80.23142141101837
verified: no, type: euclidean_pearson
value: 81.20166064704539
verified: no, type: euclidean_spearman
value: 80.18961335654585
verified: no, type: manhattan_pearson
value: 81.13925443187625
verified: no, type: manhattan_spearman
value: 80.07948723044424
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_pearson
value: 86.94262461316023
verified: no, type: cos_sim_spearman
value: 80.01596278563865
verified: no, type: euclidean_pearson
value: 83.80799622922581
verified: no, type: euclidean_spearman
value: 79.94984954947103
verified: no, type: manhattan_pearson
value: 83.68473841756281
verified: no, type: manhattan_spearman
value: 79.84990707951822
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: 80.57346443146068
verified: no, type: cos_sim_spearman
value: 81.54689837570866
verified: no, type: euclidean_pearson
value: 81.10909881516007
verified: no, type: euclidean_spearman
value: 81.56746243261762
verified: no, type: manhattan_pearson
value: 80.87076036186582
verified: no, type: manhattan_spearman
value: 81.33074987964402
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: 79.54733787179849
verified: no, type: cos_sim_spearman
value: 77.72202105610411
verified: no, type: euclidean_pearson
value: 78.9043595478849
verified: no, type: euclidean_spearman
value: 77.93422804309435
verified: no, type: manhattan_pearson
value: 78.58115121621368
verified: no, type: manhattan_spearman
value: 77.62508135122033
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: 88.59880017237558
verified: no, type: cos_sim_spearman
value: 89.31088630824758
verified: no, type: euclidean_pearson
value: 88.47069261564656
verified: no, type: euclidean_spearman
value: 89.33581971465233
verified: no, type: manhattan_pearson
value: 88.40774264100956
verified: no, type: manhattan_spearman
value: 89.28657485627835
verified: no, task: type: STS
dataset: type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_pearson
value: 84.08055117917084
verified: no, type: cos_sim_spearman
value: 85.78491813080304
verified: no, type: euclidean_pearson
value: 84.99329155500392
verified: no, type: euclidean_spearman
value: 85.76728064677287
verified: no, type: manhattan_pearson
value: 84.87947428989587
verified: no, type: manhattan_spearman
value: 85.62429454917464
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: 82.14190939287384
verified: no, type: cos_sim_spearman
value: 82.27331573306041
verified: no, type: euclidean_pearson
value: 81.891896953716
verified: no, type: euclidean_spearman
value: 82.37695542955998
verified: no, type: manhattan_pearson
value: 81.73123869460504
verified: no, type: manhattan_spearman
value: 82.19989168441421
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: 76.84695301843362
verified: no, type: cos_sim_spearman
value: 77.87790986014461
verified: no, type: euclidean_pearson
value: 76.91981583106315
verified: no, type: euclidean_spearman
value: 77.88154772749589
verified: no, type: manhattan_pearson
value: 76.94953277451093
verified: no, type: manhattan_spearman
value: 77.80499230728604
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: 75.44657840482016
verified: no, type: cos_sim_spearman
value: 75.05531095119674
verified: no, type: euclidean_pearson
value: 75.88161755829299
verified: no, type: euclidean_spearman
value: 74.73176238219332
verified: no, type: manhattan_pearson
value: 75.63984765635362
verified: no, type: manhattan_spearman
value: 74.86476440770737
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: 85.64700140524133
verified: no, type: cos_sim_spearman
value: 86.16014210425672
verified: no, type: euclidean_pearson
value: 86.49086860843221
verified: no, type: euclidean_spearman
value: 86.09729326815614
verified: no, type: manhattan_pearson
value: 86.43406265125513
verified: no, type: manhattan_spearman
value: 86.17740150939994
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: 87.91170098764921
verified: no, type: cos_sim_spearman
value: 88.12437004058931
verified: no, type: euclidean_pearson
value: 88.81828254494437
verified: no, type: euclidean_spearman
value: 88.14831794572122
verified: no, type: manhattan_pearson
value: 88.93442183448961
verified: no, type: manhattan_spearman
value: 88.15254630778304
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: 72.91390577997292
verified: no, type: cos_sim_spearman
value: 71.22979457536074
verified: no, type: euclidean_pearson
value: 74.40314008106749
verified: no, type: euclidean_spearman
value: 72.54972136083246
verified: no, type: manhattan_pearson
value: 73.85687539530218
verified: no, type: manhattan_spearman
value: 72.09500771742637
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: 80.9301067983089
verified: no, type: cos_sim_spearman
value: 80.74989828346473
verified: no, type: euclidean_pearson
value: 81.36781301814257
verified: no, type: euclidean_spearman
value: 80.9448819964426
verified: no, type: manhattan_pearson
value: 81.0351322685609
verified: no, type: manhattan_spearman
value: 80.70192121844177
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: 87.13820465980005
verified: no, type: cos_sim_spearman
value: 86.73532498758757
verified: no, type: euclidean_pearson
value: 87.21329451846637
verified: no, type: euclidean_spearman
value: 86.57863198601002
verified: no, type: manhattan_pearson
value: 87.06973713818554
verified: no, type: manhattan_spearman
value: 86.47534918791499
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: 85.48720108904415
verified: no, type: cos_sim_spearman
value: 85.62221757068387
verified: no, type: euclidean_pearson
value: 86.1010129512749
verified: no, type: euclidean_spearman
value: 85.86580966509942
verified: no, type: manhattan_pearson
value: 86.26800938808971
verified: no, type: manhattan_spearman
value: 85.88902721678429
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: 83.98021347333516
verified: no, type: cos_sim_spearman
value: 84.53806553803501
verified: no, type: euclidean_pearson
value: 84.61483347248364
verified: no, type: euclidean_spearman
value: 85.14191408011702
verified: no, type: manhattan_pearson
value: 84.75297588825967
verified: no, type: manhattan_spearman
value: 85.33176753669242
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: 84.51856644893233
verified: no, type: cos_sim_spearman
value: 85.27510748506413
verified: no, type: euclidean_pearson
value: 85.09886861540977
verified: no, type: euclidean_spearman
value: 85.62579245860887
verified: no, type: manhattan_pearson
value: 84.93017860464607
verified: no, type: manhattan_spearman
value: 85.5063988898453
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: 62.581573200584195
verified: no, type: cos_sim_spearman
value: 63.05503590247928
verified: no, type: euclidean_pearson
value: 63.652564812602094
verified: no, type: euclidean_spearman
value: 62.64811520876156
verified: no, type: manhattan_pearson
value: 63.506842893061076
verified: no, type: manhattan_spearman
value: 62.51289573046917
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: 48.2248801729127
verified: no, type: cos_sim_spearman
value: 56.5936604678561
verified: no, type: euclidean_pearson
value: 43.98149464089
verified: no, type: euclidean_spearman
value: 56.108561882423615
verified: no, type: manhattan_pearson
value: 43.86880305903564
verified: no, type: manhattan_spearman
value: 56.04671150510166
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: 55.17564527009831
verified: no, type: cos_sim_spearman
value: 64.57978560979488
verified: no, type: euclidean_pearson
value: 58.8818330154583
verified: no, type: euclidean_spearman
value: 64.99214839071281
verified: no, type: manhattan_pearson
value: 58.72671436121381
verified: no, type: manhattan_spearman
value: 65.10713416616109
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: 26.772131864023297
verified: no, type: cos_sim_spearman
value: 34.68200792408681
verified: no, type: euclidean_pearson
value: 16.68082419005441
verified: no, type: euclidean_spearman
value: 34.83099932652166
verified: no, type: manhattan_pearson
value: 16.52605949659529
verified: no, type: manhattan_spearman
value: 34.82075801399475
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: 54.42415189043831
verified: no, type: cos_sim_spearman
value: 63.54594264576758
verified: no, type: euclidean_pearson
value: 57.36577498297745
verified: no, type: euclidean_spearman
value: 63.111466379158074
verified: no, type: manhattan_pearson
value: 57.584543715873885
verified: no, type: manhattan_spearman
value: 63.22361054139183
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (ar)
config: ar
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_pearson
value: 47.55216762405518
verified: no, type: cos_sim_spearman
value: 56.98670142896412
verified: no, type: euclidean_pearson
value: 50.15318757562699
verified: no, type: euclidean_spearman
value: 56.524941926541906
verified: no, type: manhattan_pearson
value: 49.955618528674904
verified: no, type: manhattan_spearman
value: 56.37102209240117
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: 49.20540980338571
verified: no, type: cos_sim_spearman
value: 59.9009453504406
verified: no, type: euclidean_pearson
value: 49.557749853620535
verified: no, type: euclidean_spearman
value: 59.76631621172456
verified: no, type: manhattan_pearson
value: 49.62340591181147
verified: no, type: manhattan_spearman
value: 59.94224880322436
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: 51.508169956576985
verified: no, type: cos_sim_spearman
value: 66.82461565306046
verified: no, type: euclidean_pearson
value: 56.2274426480083
verified: no, type: euclidean_spearman
value: 66.6775323848333
verified: no, type: manhattan_pearson
value: 55.98277796300661
verified: no, type: manhattan_spearman
value: 66.63669848497175
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: 72.86478788045507
verified: no, type: cos_sim_spearman
value: 76.7946552053193
verified: no, type: euclidean_pearson
value: 75.01598530490269
verified: no, type: euclidean_spearman
value: 76.83618917858281
verified: no, type: manhattan_pearson
value: 74.68337628304332
verified: no, type: manhattan_spearman
value: 76.57480204017773
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: 55.922619099401984
verified: no, type: cos_sim_spearman
value: 56.599362477240774
verified: no, type: euclidean_pearson
value: 56.68307052369783
verified: no, type: euclidean_spearman
value: 54.28760436777401
verified: no, type: manhattan_pearson
value: 56.67763566500681
verified: no, type: manhattan_spearman
value: 53.94619541711359
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: 66.74357206710913
verified: no, type: cos_sim_spearman
value: 72.5208244925311
verified: no, type: euclidean_pearson
value: 67.49254562186032
verified: no, type: euclidean_spearman
value: 72.02469076238683
verified: no, type: manhattan_pearson
value: 67.45251772238085
verified: no, type: manhattan_spearman
value: 72.05538819984538
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: 71.25734330033191
verified: no, type: cos_sim_spearman
value: 76.98349083946823
verified: no, type: euclidean_pearson
value: 73.71642838667736
verified: no, type: euclidean_spearman
value: 77.01715504651384
verified: no, type: manhattan_pearson
value: 73.61712711868105
verified: no, type: manhattan_spearman
value: 77.01392571153896
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: 63.18215462781212
verified: no, type: cos_sim_spearman
value: 65.54373266117607
verified: no, type: euclidean_pearson
value: 64.54126095439005
verified: no, type: euclidean_spearman
value: 65.30410369102711
verified: no, type: manhattan_pearson
value: 63.50332221148234
verified: no, type: manhattan_spearman
value: 64.3455878104313
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: 62.30509221440029
verified: no, type: cos_sim_spearman
value: 65.99582704642478
verified: no, type: euclidean_pearson
value: 63.43818859884195
verified: no, type: euclidean_spearman
value: 66.83172582815764
verified: no, type: manhattan_pearson
value: 63.055779168508764
verified: no, type: manhattan_spearman
value: 65.49585020501449
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: 59.587830825340404
verified: no, type: cos_sim_spearman
value: 68.93467614588089
verified: no, type: euclidean_pearson
value: 62.3073527367404
verified: no, type: euclidean_spearman
value: 69.69758171553175
verified: no, type: manhattan_pearson
value: 61.9074580815789
verified: no, type: manhattan_spearman
value: 69.57696375597865
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: 57.143220125577066
verified: no, type: cos_sim_spearman
value: 67.78857859159226
verified: no, type: euclidean_pearson
value: 55.58225107923733
verified: no, type: euclidean_spearman
value: 67.80662907184563
verified: no, type: manhattan_pearson
value: 56.24953502726514
verified: no, type: manhattan_spearman
value: 67.98262125431616
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: 21.826928900322066
verified: no, type: cos_sim_spearman
value: 49.578506634400405
verified: no, type: euclidean_pearson
value: 27.939890138843214
verified: no, type: euclidean_spearman
value: 52.71950519136242
verified: no, type: manhattan_pearson
value: 26.39878683847546
verified: no, type: manhattan_spearman
value: 47.54609580342499
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: 57.27603854632001
verified: no, type: cos_sim_spearman
value: 50.709255283710995
verified: no, type: euclidean_pearson
value: 59.5419024445929
verified: no, type: euclidean_spearman
value: 50.709255283710995
verified: no, type: manhattan_pearson
value: 59.03256832438492
verified: no, type: manhattan_spearman
value: 61.97797868009122
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: 85.00757054859712
verified: no, type: cos_sim_spearman
value: 87.29283629622222
verified: no, type: euclidean_pearson
value: 86.54824171775536
verified: no, type: euclidean_spearman
value: 87.24364730491402
verified: no, type: manhattan_pearson
value: 86.5062156915074
verified: no, type: manhattan_spearman
value: 87.15052170378574
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 82.03549357197389
verified: no, type: mrr
value: 95.05437645143527
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 57.260999999999996
verified: no, type: map_at_10
value: 66.259
verified: no, type: map_at_100
value: 66.884
verified: no, type: map_at_1000
value: 66.912
verified: no, type: map_at_3
value: 63.685
verified: no, type: map_at_5
value: 65.35499999999999
verified: no, type: mrr_at_1
value: 60.333000000000006
verified: no, type: mrr_at_10
value: 67.5
verified: no, type: mrr_at_100
value: 68.013
verified: no, type: mrr_at_1000
value: 68.038
verified: no, type: mrr_at_3
value: 65.61099999999999
verified: no, type: mrr_at_5
value: 66.861
verified: no, type: ndcg_at_1
value: 60.333000000000006
verified: no, type: ndcg_at_10
value: 70.41
verified: no, type: ndcg_at_100
value: 73.10600000000001
verified: no, type: ndcg_at_1000
value: 73.846
verified: no, type: ndcg_at_3
value: 66.133
verified: no, type: ndcg_at_5
value: 68.499
verified: no, type: precision_at_1
value: 60.333000000000006
verified: no, type: precision_at_10
value: 9.232999999999999
verified: no, type: precision_at_100
value: 1.0630000000000002
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 25.667
verified: no, type: precision_at_5
value: 17.067
verified: no, type: recall_at_1
value: 57.260999999999996
verified: no, type: recall_at_10
value: 81.94399999999999
verified: no, type: recall_at_100
value: 93.867
verified: no, type: recall_at_1000
value: 99.667
verified: no, type: recall_at_3
value: 70.339
verified: no, type: recall_at_5
value: 76.25
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: 99.74356435643564
verified: no, type: cos_sim_ap
value: 93.13411948212683
verified: no, type: cos_sim_f1
value: 86.80521991300147
verified: no, type: cos_sim_precision
value: 84.00374181478017
verified: no, type: cos_sim_recall
value: 89.8
verified: no, type: dot_accuracy
value: 99.67920792079208
verified: no, type: dot_ap
value: 89.27277565444479
verified: no, type: dot_f1
value: 83.9276990718124
verified: no, type: dot_precision
value: 82.04393505253104
verified: no, type: dot_recall
value: 85.9
verified: no, type: euclidean_accuracy
value: 99.74257425742574
verified: no, type: euclidean_ap
value: 93.17993008259062
verified: no, type: euclidean_f1
value: 86.69396110542476
verified: no, type: euclidean_precision
value: 88.78406708595388
verified: no, type: euclidean_recall
value: 84.7
verified: no, type: manhattan_accuracy
value: 99.74257425742574
verified: no, type: manhattan_ap
value: 93.14413755550099
verified: no, type: manhattan_f1
value: 86.82483594144371
verified: no, type: manhattan_precision
value: 87.66564729867483
verified: no, type: manhattan_recall
value: 86
verified: no, type: max_accuracy
value: 99.74356435643564
verified: no, type: max_ap
value: 93.17993008259062
verified: no, type: max_f1
value: 86.82483594144371
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 57.525863806168566
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 32.68850574423839
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 49.71580650644033
verified: no, type: mrr
value: 50.50971903913081
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 29.152190498799484
verified: no, type: cos_sim_spearman
value: 29.686180371952727
verified: no, type: dot_pearson
value: 27.248664793816342
verified: no, type: dot_spearman
value: 28.37748983721745
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.20400000000000001
verified: no, type: map_at_10
value: 1.6209999999999998
verified: no, type: map_at_100
value: 9.690999999999999
verified: no, type: map_at_1000
value: 23.733
verified: no, type: map_at_3
value: 0.575
verified: no, type: map_at_5
value: 0.885
verified: no, type: mrr_at_1
value: 78
verified: no, type: mrr_at_10
value: 86.56700000000001
verified: no, type: mrr_at_100
value: 86.56700000000001
verified: no, type: mrr_at_1000
value: 86.56700000000001
verified: no, type: mrr_at_3
value: 85.667
verified: no, type: mrr_at_5
value: 86.56700000000001
verified: no, type: ndcg_at_1
value: 76
verified: no, type: ndcg_at_10
value: 71.326
verified: no, type: ndcg_at_100
value: 54.208999999999996
verified: no, type: ndcg_at_1000
value: 49.252
verified: no, type: ndcg_at_3
value: 74.235
verified: no, type: ndcg_at_5
value: 73.833
verified: no, type: precision_at_1
value: 78
verified: no, type: precision_at_10
value: 74.8
verified: no, type: precision_at_100
value: 55.50000000000001
verified: no, type: precision_at_1000
value: 21.836
verified: no, type: precision_at_3
value: 78
verified: no, type: precision_at_5
value: 78
verified: no, type: recall_at_1
value: 0.20400000000000001
verified: no, type: recall_at_10
value: 1.894
verified: no, type: recall_at_100
value: 13.245999999999999
verified: no, type: recall_at_1000
value: 46.373
verified: no, type: recall_at_3
value: 0.613
verified: no, type: recall_at_5
value: 0.991
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: 95.89999999999999
verified: no, type: f1
value: 94.69999999999999
verified: no, type: precision
value: 94.11666666666667
verified: no, type: recall
value: 95.89999999999999
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: 68.20809248554913
verified: no, type: f1
value: 63.431048720066066
verified: no, type: precision
value: 61.69143958161298
verified: no, type: recall
value: 68.20809248554913
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: 71.21951219512195
verified: no, type: f1
value: 66.82926829268293
verified: no, type: precision
value: 65.1260162601626
verified: no, type: recall
value: 71.21951219512195
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: 97.2
verified: no, type: f1
value: 96.26666666666667
verified: no, type: precision
value: 95.8
verified: no, type: recall
value: 97.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (deu-eng)
config: deu-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 99.3
verified: no, type: f1
value: 99.06666666666666
verified: no, type: precision
value: 98.95
verified: no, type: recall
value: 99.3
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (nld-eng)
config: nld-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.39999999999999
verified: no, type: f1
value: 96.63333333333333
verified: no, type: precision
value: 96.26666666666668
verified: no, type: recall
value: 97.39999999999999
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: 96
verified: no, type: f1
value: 94.86666666666666
verified: no, type: precision
value: 94.31666666666668
verified: no, type: recall
value: 96
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: 47.01492537313433
verified: no, type: f1
value: 40.178867566927266
verified: no, type: precision
value: 38.179295828549556
verified: no, type: recall
value: 47.01492537313433
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: 86.5
verified: no, type: f1
value: 83.62537480063796
verified: no, type: precision
value: 82.44555555555554
verified: no, type: recall
value: 86.5
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: 80.48780487804879
verified: no, type: f1
value: 75.45644599303138
verified: no, type: precision
value: 73.37398373983739
verified: no, type: recall
value: 80.48780487804879
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: 93.7
verified: no, type: f1
value: 91.95666666666666
verified: no, type: precision
value: 91.125
verified: no, type: recall
value: 93.7
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: 91.73754556500607
verified: no, type: f1
value: 89.65168084244632
verified: no, type: precision
value: 88.73025516403402
verified: no, type: recall
value: 91.73754556500607
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: 81.04347826086956
verified: no, type: f1
value: 76.2128364389234
verified: no, type: precision
value: 74.2
verified: no, type: recall
value: 81.04347826086956
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (kaz-eng)
config: kaz-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 83.65217391304348
verified: no, type: f1
value: 79.4376811594203
verified: no, type: precision
value: 77.65797101449274
verified: no, type: recall
value: 83.65217391304348
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: 87.5
verified: no, type: f1
value: 85.02690476190476
verified: no, type: precision
value: 83.96261904761904
verified: no, type: recall
value: 87.5
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: 89.3
verified: no, type: f1
value: 86.52333333333333
verified: no, type: precision
value: 85.22833333333332
verified: no, type: recall
value: 89.3
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (gla-eng)
config: gla-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 65.01809408926418
verified: no, type: f1
value: 59.00594446432805
verified: no, type: precision
value: 56.827215807915444
verified: no, type: recall
value: 65.01809408926418
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: 91.2
verified: no, type: f1
value: 88.58
verified: no, type: precision
value: 87.33333333333334
verified: no, type: recall
value: 91.2
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: 59.199999999999996
verified: no, type: f1
value: 53.299166276284915
verified: no, type: precision
value: 51.3383908045977
verified: no, type: recall
value: 59.199999999999996
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: 93.2
verified: no, type: f1
value: 91.2
verified: no, type: precision
value: 90.25
verified: no, type: recall
value: 93.2
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: 64.76190476190476
verified: no, type: f1
value: 59.867110667110666
verified: no, type: precision
value: 58.07390192653351
verified: no, type: recall
value: 64.76190476190476
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: 76.2
verified: no, type: f1
value: 71.48147546897547
verified: no, type: precision
value: 69.65409090909091
verified: no, type: recall
value: 76.2
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: 93.8
verified: no, type: f1
value: 92.14
verified: no, type: precision
value: 91.35833333333333
verified: no, type: recall
value: 93.8
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (nob-eng)
config: nob-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.89999999999999
verified: no, type: f1
value: 97.2
verified: no, type: precision
value: 96.85000000000001
verified: no, type: recall
value: 97.89999999999999
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: 94.6
verified: no, type: f1
value: 92.93333333333334
verified: no, type: precision
value: 92.13333333333333
verified: no, type: recall
value: 94.6
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: 74.1
verified: no, type: f1
value: 69.14817460317461
verified: no, type: precision
value: 67.2515873015873
verified: no, type: recall
value: 74.1
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: 95.19999999999999
verified: no, type: f1
value: 94.01333333333335
verified: no, type: precision
value: 93.46666666666667
verified: no, type: recall
value: 95.19999999999999
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: 76.9
verified: no, type: f1
value: 72.07523809523809
verified: no, type: precision
value: 70.19777777777779
verified: no, type: recall
value: 76.9
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: 94.1
verified: no, type: f1
value: 92.31666666666666
verified: no, type: precision
value: 91.43333333333332
verified: no, type: recall
value: 94.1
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: 97.8
verified: no, type: f1
value: 97.1
verified: no, type: precision
value: 96.76666666666668
verified: no, type: recall
value: 97.8
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: 92.85714285714286
verified: no, type: f1
value: 90.92093441150045
verified: no, type: precision
value: 90.00449236298293
verified: no, type: recall
value: 92.85714285714286
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: 93.16239316239316
verified: no, type: f1
value: 91.33903133903132
verified: no, type: precision
value: 90.56267806267806
verified: no, type: recall
value: 93.16239316239316
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: 92.4
verified: no, type: f1
value: 90.25666666666666
verified: no, type: precision
value: 89.25833333333334
verified: no, type: recall
value: 92.4
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: 90.22727272727272
verified: no, type: f1
value: 87.53030303030303
verified: no, type: precision
value: 86.37121212121211
verified: no, type: recall
value: 90.22727272727272
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: 79.03563941299791
verified: no, type: f1
value: 74.7349505840072
verified: no, type: precision
value: 72.9035639412998
verified: no, type: recall
value: 79.03563941299791
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: 97
verified: no, type: f1
value: 96.15
verified: no, type: precision
value: 95.76666666666668
verified: no, type: recall
value: 97
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (nov-eng)
config: nov-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 76.26459143968872
verified: no, type: f1
value: 71.55642023346303
verified: no, type: precision
value: 69.7544932369835
verified: no, type: recall
value: 76.26459143968872
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (gsw-eng)
config: gsw-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 58.119658119658126
verified: no, type: f1
value: 51.65242165242165
verified: no, type: precision
value: 49.41768108434775
verified: no, type: recall
value: 58.119658119658126
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: 74.3
verified: no, type: f1
value: 69.52055555555555
verified: no, type: precision
value: 67.7574938949939
verified: no, type: recall
value: 74.3
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: 94.8
verified: no, type: f1
value: 93.31666666666666
verified: no, type: precision
value: 92.60000000000001
verified: no, type: recall
value: 94.8
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: 76.63551401869158
verified: no, type: f1
value: 72.35202492211837
verified: no, type: precision
value: 70.60358255451713
verified: no, type: recall
value: 76.63551401869158
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: 90.4
verified: no, type: f1
value: 88.4811111111111
verified: no, type: precision
value: 87.7452380952381
verified: no, type: recall
value: 90.4
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: 95
verified: no, type: f1
value: 93.60666666666667
verified: no, type: precision
value: 92.975
verified: no, type: recall
value: 95
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: 67.2
verified: no, type: f1
value: 63.01595782872099
verified: no, type: precision
value: 61.596587301587306
verified: no, type: recall
value: 67.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (zsm-eng)
config: zsm-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.7
verified: no, type: f1
value: 94.52999999999999
verified: no, type: precision
value: 94
verified: no, type: recall
value: 95.7
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: 94.6
verified: no, type: f1
value: 93.28999999999999
verified: no, type: precision
value: 92.675
verified: no, type: recall
value: 94.6
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (cmn-eng)
config: cmn-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.39999999999999
verified: no, type: f1
value: 95.28333333333333
verified: no, type: precision
value: 94.75
verified: no, type: recall
value: 96.39999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (lvs-eng)
config: lvs-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91.9
verified: no, type: f1
value: 89.83
verified: no, type: precision
value: 88.92
verified: no, type: recall
value: 91.9
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: 94.69999999999999
verified: no, type: f1
value: 93.34222222222223
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 (ceb-eng)
config: ceb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 60.333333333333336
verified: no, type: f1
value: 55.31203703703703
verified: no, type: precision
value: 53.39971108326371
verified: no, type: recall
value: 60.333333333333336
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: 12.9
verified: no, type: f1
value: 11.099861903031458
verified: no, type: precision
value: 10.589187932631877
verified: no, type: recall
value: 12.9
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: 86.7
verified: no, type: f1
value: 83.0152380952381
verified: no, type: precision
value: 81.37833333333333
verified: no, type: recall
value: 86.7
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (swg-eng)
config: swg-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 63.39285714285714
verified: no, type: f1
value: 56.832482993197274
verified: no, type: precision
value: 54.56845238095237
verified: no, type: recall
value: 63.39285714285714
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: 48.73765093304062
verified: no, type: f1
value: 41.555736920720456
verified: no, type: precision
value: 39.06874531737319
verified: no, type: recall
value: 48.73765093304062
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: 41.099999999999994
verified: no, type: f1
value: 36.540165945165946
verified: no, type: precision
value: 35.05175685425686
verified: no, type: recall
value: 41.099999999999994
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: 94.89999999999999
verified: no, type: f1
value: 93.42333333333333
verified: no, type: precision
value: 92.75833333333333
verified: no, type: recall
value: 94.89999999999999
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: 94.89999999999999
verified: no, type: f1
value: 93.63333333333334
verified: no, type: precision
value: 93.01666666666665
verified: no, type: recall
value: 94.89999999999999
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: 77.9
verified: no, type: f1
value: 73.64833333333334
verified: no, type: precision
value: 71.90282106782105
verified: no, type: recall
value: 77.9
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: 59.4
verified: no, type: f1
value: 54.90521367521367
verified: no, type: precision
value: 53.432840025471606
verified: no, type: recall
value: 59.4
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (pol-eng)
config: pol-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.39999999999999
verified: no, type: f1
value: 96.6
verified: no, type: precision
value: 96.2
verified: no, type: recall
value: 97.39999999999999
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: 67.2
verified: no, type: f1
value: 62.25926129426129
verified: no, type: precision
value: 60.408376623376626
verified: no, type: recall
value: 67.2
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: 90.2
verified: no, type: f1
value: 87.60666666666667
verified: no, type: precision
value: 86.45277777777778
verified: no, type: recall
value: 90.2
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (vie-eng)
config: vie-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.7
verified: no, type: f1
value: 97
verified: no, type: precision
value: 96.65
verified: no, type: recall
value: 97.7
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: 93.2
verified: no, type: f1
value: 91.39746031746031
verified: no, type: precision
value: 90.6125
verified: no, type: recall
value: 93.2
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: 32.11678832116788
verified: no, type: f1
value: 27.210415386260234
verified: no, type: precision
value: 26.20408990846947
verified: no, type: recall
value: 32.11678832116788
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: 8.5
verified: no, type: f1
value: 6.787319277832475
verified: no, type: precision
value: 6.3452094433344435
verified: no, type: recall
value: 8.5
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: 96.1
verified: no, type: f1
value: 95.08
verified: no, type: precision
value: 94.61666666666667
verified: no, type: recall
value: 96.1
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: 95.3
verified: no, type: f1
value: 93.88333333333333
verified: no, type: precision
value: 93.18333333333332
verified: no, type: recall
value: 95.3
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: 85.11904761904762
verified: no, type: f1
value: 80.69444444444444
verified: no, type: precision
value: 78.72023809523809
verified: no, type: recall
value: 85.11904761904762
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: 11.1
verified: no, type: f1
value: 9.276381801735853
verified: no, type: precision
value: 8.798174603174601
verified: no, type: recall
value: 11.1
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: 63.56107660455487
verified: no, type: f1
value: 58.70433569191332
verified: no, type: precision
value: 56.896926581464015
verified: no, type: recall
value: 63.56107660455487
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (srp-eng)
config: srp-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.69999999999999
verified: no, type: f1
value: 93.10000000000001
verified: no, type: precision
value: 92.35
verified: no, type: recall
value: 94.69999999999999
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: 96.8
verified: no, type: f1
value: 96.01222222222222
verified: no, type: precision
value: 95.67083333333332
verified: no, type: recall
value: 96.8
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: 9.2
verified: no, type: f1
value: 7.911555250305249
verified: no, type: precision
value: 7.631246556216846
verified: no, type: recall
value: 9.2
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: 77.48917748917748
verified: no, type: f1
value: 72.27375798804371
verified: no, type: precision
value: 70.14430014430013
verified: no, type: recall
value: 77.48917748917748
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: 77.09923664122137
verified: no, type: f1
value: 72.61541257724463
verified: no, type: precision
value: 70.8998380754106
verified: no, type: recall
value: 77.09923664122137
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: 98.2532751091703
verified: no, type: f1
value: 97.69529354682193
verified: no, type: precision
value: 97.42843279961184
verified: no, type: recall
value: 98.2532751091703
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: 82.8
verified: no, type: f1
value: 79.14672619047619
verified: no, type: precision
value: 77.59489247311828
verified: no, type: recall
value: 82.8
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (bos-eng)
config: bos-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.35028248587571
verified: no, type: f1
value: 92.86252354048965
verified: no, type: precision
value: 92.2080979284369
verified: no, type: recall
value: 94.35028248587571
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: 8.5
verified: no, type: f1
value: 6.282429263935621
verified: no, type: precision
value: 5.783274240739785
verified: no, type: recall
value: 8.5
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: 92.7
verified: no, type: f1
value: 91.025
verified: no, type: precision
value: 90.30428571428571
verified: no, type: recall
value: 92.7
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: 81
verified: no, type: f1
value: 77.8232380952381
verified: no, type: precision
value: 76.60194444444444
verified: no, type: recall
value: 81
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (yue-eng)
config: yue-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91
verified: no, type: f1
value: 88.70857142857142
verified: no, type: precision
value: 87.7
verified: no, type: recall
value: 91
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (swe-eng)
config: swe-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.39999999999999
verified: no, type: f1
value: 95.3
verified: no, type: precision
value: 94.76666666666667
verified: no, type: recall
value: 96.39999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (dtp-eng)
config: dtp-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 8.1
verified: no, type: f1
value: 7.001008218834307
verified: no, type: precision
value: 6.708329562594269
verified: no, type: recall
value: 8.1
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: 87.1313672922252
verified: no, type: f1
value: 84.09070598748882
verified: no, type: precision
value: 82.79171454104429
verified: no, type: recall
value: 87.1313672922252
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: 96.39999999999999
verified: no, type: f1
value: 95.28333333333333
verified: no, type: precision
value: 94.73333333333332
verified: no, type: recall
value: 96.39999999999999
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (csb-eng)
config: csb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 42.29249011857708
verified: no, type: f1
value: 36.981018542283365
verified: no, type: precision
value: 35.415877813576024
verified: no, type: recall
value: 42.29249011857708
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: 83.80281690140845
verified: no, type: f1
value: 80.86854460093896
verified: no, type: precision
value: 79.60093896713614
verified: no, type: recall
value: 83.80281690140845
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: 45.26946107784431
verified: no, type: f1
value: 39.80235464678088
verified: no, type: precision
value: 38.14342660001342
verified: no, type: recall
value: 45.26946107784431
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ind-eng)
config: ind-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.3
verified: no, type: f1
value: 92.9
verified: no, type: precision
value: 92.26666666666668
verified: no, type: recall
value: 94.3
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: 37.93103448275862
verified: no, type: f1
value: 33.15192743764172
verified: no, type: precision
value: 31.57456528146183
verified: no, type: recall
value: 37.93103448275862
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (max-eng)
config: max-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 69.01408450704226
verified: no, type: f1
value: 63.41549295774648
verified: no, type: precision
value: 61.342778895595806
verified: no, type: recall
value: 69.01408450704226
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: 76.66666666666667
verified: no, type: f1
value: 71.60705960705961
verified: no, type: precision
value: 69.60683760683762
verified: no, type: recall
value: 76.66666666666667
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: 95.8
verified: no, type: f1
value: 94.48333333333333
verified: no, type: precision
value: 93.83333333333333
verified: no, type: recall
value: 95.8
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: 52.81837160751566
verified: no, type: f1
value: 48.435977731384824
verified: no, type: precision
value: 47.11291973845539
verified: no, type: recall
value: 52.81837160751566
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: 44.9
verified: no, type: f1
value: 38.88962621607783
verified: no, type: precision
value: 36.95936507936508
verified: no, type: recall
value: 44.9
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: 90.55374592833876
verified: no, type: f1
value: 88.22553125484721
verified: no, type: precision
value: 87.26927252985884
verified: no, type: recall
value: 90.55374592833876
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: 94.6
verified: no, type: f1
value: 93.13333333333333
verified: no, type: precision
value: 92.45333333333333
verified: no, type: recall
value: 94.6
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: 93.7
verified: no, type: f1
value: 91.99666666666667
verified: no, type: precision
value: 91.26666666666668
verified: no, type: recall
value: 93.7
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: 85.03937007874016
verified: no, type: f1
value: 81.75853018372703
verified: no, type: precision
value: 80.34120734908137
verified: no, type: recall
value: 85.03937007874016
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: 88.3
verified: no, type: f1
value: 85.5
verified: no, type: precision
value: 84.25833333333334
verified: no, type: recall
value: 88.3
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: 65.51246537396122
verified: no, type: f1
value: 60.02297410192148
verified: no, type: precision
value: 58.133467727289236
verified: no, type: recall
value: 65.51246537396122
verified: no, task: type: BitextMining
dataset: type: mteb/tatoeba-bitext-mining
name: MTEB Tatoeba (ces-eng)
config: ces-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96
verified: no, type: f1
value: 94.89
verified: no, type: precision
value: 94.39166666666667
verified: no, type: recall
value: 96
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: 57.692307692307686
verified: no, type: f1
value: 53.162393162393165
verified: no, type: precision
value: 51.70673076923077
verified: no, type: recall
value: 57.692307692307686
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: 91.60000000000001
verified: no, type: f1
value: 89.21190476190475
verified: no, type: precision
value: 88.08666666666667
verified: no, type: recall
value: 91.60000000000001
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: 88
verified: no, type: f1
value: 85.47
verified: no, type: precision
value: 84.43266233766234
verified: no, type: recall
value: 88
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: 92.7
verified: no, type: f1
value: 90.64999999999999
verified: no, type: precision
value: 89.68333333333332
verified: no, type: recall
value: 92.7
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: 80.30660377358491
verified: no, type: f1
value: 76.33044137466307
verified: no, type: precision
value: 74.78970125786164
verified: no, type: recall
value: 80.30660377358491
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: 96.39999999999999
verified: no, type: f1
value: 95.44
verified: no, type: precision
value: 94.99166666666666
verified: no, type: recall
value: 96.39999999999999
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: 96.53284671532847
verified: no, type: f1
value: 95.37712895377129
verified: no, type: precision
value: 94.7992700729927
verified: no, type: recall
value: 96.53284671532847
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: 89
verified: no, type: f1
value: 86.23190476190476
verified: no, type: precision
value: 85.035
verified: no, type: recall
value: 89
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 2.585
verified: no, type: map_at_10
value: 9.012
verified: no, type: map_at_100
value: 14.027000000000001
verified: no, type: map_at_1000
value: 15.565000000000001
verified: no, type: map_at_3
value: 5.032
verified: no, type: map_at_5
value: 6.657
verified: no, type: mrr_at_1
value: 28.571
verified: no, type: mrr_at_10
value: 45.377
verified: no, type: mrr_at_100
value: 46.119
verified: no, type: mrr_at_1000
value: 46.127
verified: no, type: mrr_at_3
value: 41.156
verified: no, type: mrr_at_5
value: 42.585
verified: no, type: ndcg_at_1
value: 27.551
verified: no, type: ndcg_at_10
value: 23.395
verified: no, type: ndcg_at_100
value: 33.342
verified: no, type: ndcg_at_1000
value: 45.523
verified: no, type: ndcg_at_3
value: 25.158
verified: no, type: ndcg_at_5
value: 23.427
verified: no, type: precision_at_1
value: 28.571
verified: no, type: precision_at_10
value: 21.429000000000002
verified: no, type: precision_at_100
value: 6.714
verified: no, type: precision_at_1000
value: 1.473
verified: no, type: precision_at_3
value: 27.211000000000002
verified: no, type: precision_at_5
value: 24.490000000000002
verified: no, type: recall_at_1
value: 2.585
verified: no, type: recall_at_10
value: 15.418999999999999
verified: no, type: recall_at_100
value: 42.485
verified: no, type: recall_at_1000
value: 79.536
verified: no, type: recall_at_3
value: 6.239999999999999
verified: no, type: recall_at_5
value: 8.996
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 71.3234
verified: no, type: ap
value: 14.361688653847423
verified: no, type: f1
value: 54.819068624319044
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 61.97792869269949
verified: no, type: f1
value: 62.28965628513728
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 38.90540145385218
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: 86.53513739047506
verified: no, type: cos_sim_ap
value: 75.27741586677557
verified: no, type: cos_sim_f1
value: 69.18792902473774
verified: no, type: cos_sim_precision
value: 67.94708725515136
verified: no, type: cos_sim_recall
value: 70.47493403693932
verified: no, type: dot_accuracy
value: 84.7052512368123
verified: no, type: dot_ap
value: 69.36075482849378
verified: no, type: dot_f1
value: 64.44688376631296
verified: no, type: dot_precision
value: 59.92288500793831
verified: no, type: dot_recall
value: 69.70976253298153
verified: no, type: euclidean_accuracy
value: 86.60666388508076
verified: no, type: euclidean_ap
value: 75.47512772621097
verified: no, type: euclidean_f1
value: 69.413872536473
verified: no, type: euclidean_precision
value: 67.39562624254472
verified: no, type: euclidean_recall
value: 71.55672823218997
verified: no, type: manhattan_accuracy
value: 86.52917684925792
verified: no, type: manhattan_ap
value: 75.34000110496703
verified: no, type: manhattan_f1
value: 69.28489190226429
verified: no, type: manhattan_precision
value: 67.24608889992551
verified: no, type: manhattan_recall
value: 71.45118733509234
verified: no, type: max_accuracy
value: 86.60666388508076
verified: no, type: max_ap
value: 75.47512772621097
verified: no, type: max_f1
value: 69.413872536473
verified: no, task: type: PairClassification
dataset: type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 89.01695967710637
verified: no, type: cos_sim_ap
value: 85.8298270742901
verified: no, type: cos_sim_f1
value: 78.46988128389272
verified: no, type: cos_sim_precision
value: 74.86017897091722
verified: no, type: cos_sim_recall
value: 82.44533415460425
verified: no, type: dot_accuracy
value: 88.19420188613343
verified: no, type: dot_ap
value: 83.82679165901324
verified: no, type: dot_f1
value: 76.55833777304208
verified: no, type: dot_precision
value: 75.6884875846501
verified: no, type: dot_recall
value: 77.44841392054204
verified: no, type: euclidean_accuracy
value: 89.03054294252338
verified: no, type: euclidean_ap
value: 85.89089555185325
verified: no, type: euclidean_f1
value: 78.62997658079624
verified: no, type: euclidean_precision
value: 74.92329149232914
verified: no, type: euclidean_recall
value: 82.72251308900523
verified: no, type: manhattan_accuracy
value: 89.0266620095471
verified: no, type: manhattan_ap
value: 85.86458997929147
verified: no, type: manhattan_f1
value: 78.50685331000291
verified: no, type: manhattan_precision
value: 74.5499861534201
verified: no, type: manhattan_recall
value: 82.90729904527257
verified: no, type: max_accuracy
value: 89.03054294252338
verified: no, type: max_ap
value: 85.89089555185325
verified: no, type: max_f1
value: 78.62997658079624
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: 98
Created: 2025-06-23 04:18:30