Model: pruizpar/multilingual-e5-large-Q4_K_M-GGUF
Author: pruizpar
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, gguf, mteb, Sentence Transformers, sentence-similarity, feature-extraction, llama-cpp, gguf-my-repo, 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, base_model:intfloat/multilingual-e5-large, base_model:quantized:intfloat/multilingual-e5-large, license:mit, model-index, endpoints_compatible, region:us
Base models (quantized): id: intfloat/multilingual-e5-large
Card metadata: base_model: intfloat/multilingual-e5-large
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
tags: mteb, Sentence Transformers, sentence-similarity, feature-extraction, sentence-transformers, llama-cpp, gguf-my-repo
model-index: name: multilingual-e5-large
results: task: type: Classification
dataset: name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
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: name: MTEB AmazonCounterfactualClassification (de)
type: mteb/amazon_counterfactual
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: name: MTEB AmazonCounterfactualClassification (en-ext)
type: mteb/amazon_counterfactual
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: name: MTEB AmazonCounterfactualClassification (ja)
type: mteb/amazon_counterfactual
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: name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
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: name: MTEB AmazonReviewsClassification (en)
type: mteb/amazon_reviews_multi
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: name: MTEB AmazonReviewsClassification (de)
type: mteb/amazon_reviews_multi
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: name: MTEB AmazonReviewsClassification (es)
type: mteb/amazon_reviews_multi
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: name: MTEB AmazonReviewsClassification (fr)
type: mteb/amazon_reviews_multi
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: name: MTEB AmazonReviewsClassification (ja)
type: mteb/amazon_reviews_multi
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: name: MTEB AmazonReviewsClassification (zh)
type: mteb/amazon_reviews_multi
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: name: MTEB ArguAna
type: 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: name: MTEB ArxivClusteringP2P
type: mteb/arxiv-clustering-p2p
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 44.30960650674069
verified: no, task: type: Clustering
dataset: name: MTEB ArxivClusteringS2S
type: mteb/arxiv-clustering-s2s
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 38.427074197498996
verified: no, task: type: Reranking
dataset: name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
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: name: MTEB BIOSSES
type: mteb/biosses-sts
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: name: MTEB BUCC (de-en)
type: mteb/bucc-bitext-mining
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: name: MTEB BUCC (fr-en)
type: mteb/bucc-bitext-mining
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: name: MTEB BUCC (ru-en)
type: mteb/bucc-bitext-mining
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: name: MTEB BUCC (zh-en)
type: mteb/bucc-bitext-mining
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: name: MTEB Banking77Classification
type: mteb/banking77
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: name: MTEB BiorxivClusteringP2P
type: mteb/biorxiv-clustering-p2p
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 35.34220182511161
verified: no, task: type: Clustering
dataset: name: MTEB BiorxivClusteringS2S
type: mteb/biorxiv-clustering-s2s
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics: type: v_measure
value: 33.4987096128766
verified: no, task: type: Retrieval
dataset: name: MTEB CQADupstackRetrieval
type: BeIR/cqadupstack
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: name: MTEB ClimateFEVER
type: climate-fever
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: name: MTEB DBPedia
type: dbpedia-entity
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: name: MTEB EmotionClassification
type: mteb/emotion
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: name: MTEB FEVER
type: 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: name: MTEB FiQA2018
type: fiqa
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
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verified: no, task: type: Retrieval
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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: name: MTEB NQ
type: 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: name: MTEB QuoraRetrieval
type: quora
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: name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 46.54068723291946
verified: no, task: type: Clustering
dataset: name: MTEB RedditClusteringP2P
type: mteb/reddit-clustering-p2p
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics: type: v_measure
value: 63.216287629895994
verified: no, task: type: Retrieval
dataset: name: MTEB SCIDOCS
type: 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: name: MTEB SICK-R
type: mteb/sickr-sts
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: name: MTEB STS12
type: mteb/sts12-sts
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: name: MTEB STS13
type: mteb/sts13-sts
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: name: MTEB STS14
type: mteb/sts14-sts
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: name: MTEB STS15
type: mteb/sts15-sts
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: name: MTEB STS16
type: mteb/sts16-sts
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: name: MTEB STS17 (ko-ko)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (ar-ar)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (en-ar)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (en-de)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (en-en)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (en-tr)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (es-en)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (es-es)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (fr-en)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (it-en)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS17 (nl-en)
type: mteb/sts17-crosslingual-sts
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: name: MTEB STS22 (en)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (de)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (es)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (pl)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (tr)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (ar)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (ru)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (zh)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (fr)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (de-en)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (es-en)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (it)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (pl-en)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (zh-en)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (es-it)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (de-fr)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (de-pl)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STS22 (fr-pl)
type: mteb/sts22-crosslingual-sts
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: name: MTEB STSBenchmark
type: mteb/stsbenchmark-sts
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: name: MTEB SciDocsRR
type: mteb/scidocs-reranking
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: name: MTEB SciFact
type: 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: name: MTEB SprintDuplicateQuestions
type: mteb/sprintduplicatequestions-pairclassification
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: name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 57.525863806168566
verified: no, task: type: Clustering
dataset: name: MTEB StackExchangeClusteringP2P
type: mteb/stackexchange-clustering-p2p
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 32.68850574423839
verified: no, task: type: Reranking
dataset: name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
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: name: MTEB SummEval
type: 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: name: MTEB TRECCOVID
type: trec-covid
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: name: MTEB Tatoeba (sqi-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (fry-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (kur-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (tur-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (deu-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (nld-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (ron-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (ang-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (ido-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (jav-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (isl-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (slv-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (cym-eng)
type: mteb/tatoeba-bitext-mining
config: cym-eng
split: test
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verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (tha-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Tatoeba (wuu-eng)
type: mteb/tatoeba-bitext-mining
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: name: MTEB Touche2020
type: webis-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: name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
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: name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
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: name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 38.90540145385218
verified: no, task: type: PairClassification
dataset: name: MTEB TwitterSemEval2015
type: mteb/twittersemeval2015-pairclassification
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: name: MTEB TwitterURLCorpus
type: mteb/twitterurlcorpus-pairclassification
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
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Created: 2024-09-04 11:43:49