Model: LucaBianchi28/multilingual-e5-large-instruct-Q8_0-GGUF
Author: LucaBianchi28
Library: sentence-transformers
Tags: sentence-transformers, gguf, mteb, transformers, 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-instruct, base_model:quantized:intfloat/multilingual-e5-large-instruct, license:mit, model-index, endpoints_compatible, region:us, feature-extraction
Base models (quantized): id: intfloat/multilingual-e5-large-instruct
Card metadata: base_model: intfloat/multilingual-e5-large-instruct
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, transformers, llama-cpp, gguf-my-repo
model-index: name: multilingual-e5-large-instruct
results: task: type: Classification
dataset: name: MTEB AmazonCounterfactualClassification (en)
type: mteb/amazon_counterfactual
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 76.23880597014924
verified: no, type: ap
value: 39.07351965022687
verified: no, type: f1
value: 70.04836733862683
verified: no, task: type: Classification
dataset: name: MTEB AmazonCounterfactualClassification (de)
type: mteb/amazon_counterfactual
config: de
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 66.71306209850107
verified: no, type: ap
value: 79.01499914759529
verified: no, type: f1
value: 64.81951817560703
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: 73.85307346326837
verified: no, type: ap
value: 22.447519885878737
verified: no, type: f1
value: 61.0162730745633
verified: no, task: type: Classification
dataset: name: MTEB AmazonCounterfactualClassification (ja)
type: mteb/amazon_counterfactual
config: ja
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 76.04925053533191
verified: no, type: ap
value: 23.44983217128922
verified: no, type: f1
value: 62.5723230907759
verified: no, task: type: Classification
dataset: name: MTEB AmazonPolarityClassification
type: mteb/amazon_polarity
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 96.28742500000001
verified: no, type: ap
value: 94.8449918887462
verified: no, type: f1
value: 96.28680923610432
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: 56.716
verified: no, type: f1
value: 55.76510398266401
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: 52.99999999999999
verified: no, type: f1
value: 52.00829994765178
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: 48.806000000000004
verified: no, type: f1
value: 48.082345914983634
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: 48.507999999999996
verified: no, type: f1
value: 47.68752844642045
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: 47.709999999999994
verified: no, type: f1
value: 47.05870376637181
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: 44.662000000000006
verified: no, type: f1
value: 43.42371965372771
verified: no, task: type: Retrieval
dataset: name: MTEB ArguAna
type: arguana
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.721
verified: no, type: map_at_10
value: 49.221
verified: no, type: map_at_100
value: 49.884
verified: no, type: map_at_1000
value: 49.888
verified: no, type: map_at_3
value: 44.31
verified: no, type: map_at_5
value: 47.276
verified: no, type: mrr_at_1
value: 32.432
verified: no, type: mrr_at_10
value: 49.5
verified: no, type: mrr_at_100
value: 50.163000000000004
verified: no, type: mrr_at_1000
value: 50.166
verified: no, type: mrr_at_3
value: 44.618
verified: no, type: mrr_at_5
value: 47.541
verified: no, type: ndcg_at_1
value: 31.721
verified: no, type: ndcg_at_10
value: 58.384
verified: no, type: ndcg_at_100
value: 61.111000000000004
verified: no, type: ndcg_at_1000
value: 61.187999999999995
verified: no, type: ndcg_at_3
value: 48.386
verified: no, type: ndcg_at_5
value: 53.708999999999996
verified: no, type: precision_at_1
value: 31.721
verified: no, type: precision_at_10
value: 8.741
verified: no, type: precision_at_100
value: 0.991
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 20.057
verified: no, type: precision_at_5
value: 14.609
verified: no, type: recall_at_1
value: 31.721
verified: no, type: recall_at_10
value: 87.411
verified: no, type: recall_at_100
value: 99.075
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 60.171
verified: no, type: recall_at_5
value: 73.044
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: 46.40419580759799
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: 40.48593255007969
verified: no, task: type: Reranking
dataset: name: MTEB AskUbuntuDupQuestions
type: mteb/askubuntudupquestions-reranking
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 63.889179122289995
verified: no, type: mrr
value: 77.61146286769556
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: 88.15075203727929
verified: no, type: cos_sim_spearman
value: 86.9622224570873
verified: no, type: euclidean_pearson
value: 86.70473853624121
verified: no, type: euclidean_spearman
value: 86.9622224570873
verified: no, type: manhattan_pearson
value: 86.21089380980065
verified: no, type: manhattan_spearman
value: 86.75318154937008
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: 99.65553235908142
verified: no, type: f1
value: 99.60681976339595
verified: no, type: precision
value: 99.58246346555325
verified: no, type: recall
value: 99.65553235908142
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: 99.26260180497468
verified: no, type: f1
value: 99.14520507740848
verified: no, type: precision
value: 99.08650671362535
verified: no, type: recall
value: 99.26260180497468
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: 98.07412538967787
verified: no, type: f1
value: 97.86629719431936
verified: no, type: precision
value: 97.76238309664012
verified: no, type: recall
value: 98.07412538967787
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: 99.42074776197998
verified: no, type: f1
value: 99.38564156573635
verified: no, type: precision
value: 99.36808846761454
verified: no, type: recall
value: 99.42074776197998
verified: no, task: type: Classification
dataset: name: MTEB Banking77Classification
type: mteb/banking77
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 85.73376623376623
verified: no, type: f1
value: 85.68480707214599
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: 40.935218072113855
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: 36.276389017675264
verified: no, task: type: Retrieval
dataset: name: MTEB CQADupstackRetrieval
type: BeIR/cqadupstack
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.764166666666668
verified: no, type: map_at_10
value: 37.298166666666674
verified: no, type: map_at_100
value: 38.530166666666666
verified: no, type: map_at_1000
value: 38.64416666666667
verified: no, type: map_at_3
value: 34.484833333333334
verified: no, type: map_at_5
value: 36.0385
verified: no, type: mrr_at_1
value: 32.93558333333333
verified: no, type: mrr_at_10
value: 41.589749999999995
verified: no, type: mrr_at_100
value: 42.425333333333334
verified: no, type: mrr_at_1000
value: 42.476333333333336
verified: no, type: mrr_at_3
value: 39.26825
verified: no, type: mrr_at_5
value: 40.567083333333336
verified: no, type: ndcg_at_1
value: 32.93558333333333
verified: no, type: ndcg_at_10
value: 42.706583333333334
verified: no, type: ndcg_at_100
value: 47.82483333333333
verified: no, type: ndcg_at_1000
value: 49.95733333333334
verified: no, type: ndcg_at_3
value: 38.064750000000004
verified: no, type: ndcg_at_5
value: 40.18158333333333
verified: no, type: precision_at_1
value: 32.93558333333333
verified: no, type: precision_at_10
value: 7.459833333333334
verified: no, type: precision_at_100
value: 1.1830833333333335
verified: no, type: precision_at_1000
value: 0.15608333333333332
verified: no, type: precision_at_3
value: 17.5235
verified: no, type: precision_at_5
value: 12.349833333333333
verified: no, type: recall_at_1
value: 27.764166666666668
verified: no, type: recall_at_10
value: 54.31775
verified: no, type: recall_at_100
value: 76.74350000000001
verified: no, type: recall_at_1000
value: 91.45208333333332
verified: no, type: recall_at_3
value: 41.23425
verified: no, type: recall_at_5
value: 46.73983333333334
verified: no, task: type: Retrieval
dataset: name: MTEB ClimateFEVER
type: climate-fever
config: default
split: test
revision: None
metrics: type: map_at_1
value: 12.969
verified: no, type: map_at_10
value: 21.584999999999997
verified: no, type: map_at_100
value: 23.3
verified: no, type: map_at_1000
value: 23.5
verified: no, type: map_at_3
value: 18.218999999999998
verified: no, type: map_at_5
value: 19.983
verified: no, type: mrr_at_1
value: 29.316
verified: no, type: mrr_at_10
value: 40.033
verified: no, type: mrr_at_100
value: 40.96
verified: no, type: mrr_at_1000
value: 41.001
verified: no, type: mrr_at_3
value: 37.123
verified: no, type: mrr_at_5
value: 38.757999999999996
verified: no, type: ndcg_at_1
value: 29.316
verified: no, type: ndcg_at_10
value: 29.858
verified: no, type: ndcg_at_100
value: 36.756
verified: no, type: ndcg_at_1000
value: 40.245999999999995
verified: no, type: ndcg_at_3
value: 24.822
verified: no, type: ndcg_at_5
value: 26.565
verified: no, type: precision_at_1
value: 29.316
verified: no, type: precision_at_10
value: 9.186
verified: no, type: precision_at_100
value: 1.6549999999999998
verified: no, type: precision_at_1000
value: 0.22999999999999998
verified: no, type: precision_at_3
value: 18.436
verified: no, type: precision_at_5
value: 13.876
verified: no, type: recall_at_1
value: 12.969
verified: no, type: recall_at_10
value: 35.142
verified: no, type: recall_at_100
value: 59.143
verified: no, type: recall_at_1000
value: 78.594
verified: no, type: recall_at_3
value: 22.604
verified: no, type: recall_at_5
value: 27.883000000000003
verified: no, task: type: Retrieval
dataset: name: MTEB DBPedia
type: dbpedia-entity
config: default
split: test
revision: None
metrics: type: map_at_1
value: 8.527999999999999
verified: no, type: map_at_10
value: 17.974999999999998
verified: no, type: map_at_100
value: 25.665
verified: no, type: map_at_1000
value: 27.406000000000002
verified: no, type: map_at_3
value: 13.017999999999999
verified: no, type: map_at_5
value: 15.137
verified: no, type: mrr_at_1
value: 62.5
verified: no, type: mrr_at_10
value: 71.891
verified: no, type: mrr_at_100
value: 72.294
verified: no, type: mrr_at_1000
value: 72.296
verified: no, type: mrr_at_3
value: 69.958
verified: no, type: mrr_at_5
value: 71.121
verified: no, type: ndcg_at_1
value: 50.875
verified: no, type: ndcg_at_10
value: 38.36
verified: no, type: ndcg_at_100
value: 44.235
verified: no, type: ndcg_at_1000
value: 52.154
verified: no, type: ndcg_at_3
value: 43.008
verified: no, type: ndcg_at_5
value: 40.083999999999996
verified: no, type: precision_at_1
value: 62.5
verified: no, type: precision_at_10
value: 30
verified: no, type: precision_at_100
value: 10.038
verified: no, type: precision_at_1000
value: 2.0869999999999997
verified: no, type: precision_at_3
value: 46.833000000000006
verified: no, type: precision_at_5
value: 38.800000000000004
verified: no, type: recall_at_1
value: 8.527999999999999
verified: no, type: recall_at_10
value: 23.828
verified: no, type: recall_at_100
value: 52.322
verified: no, type: recall_at_1000
value: 77.143
verified: no, type: recall_at_3
value: 14.136000000000001
verified: no, type: recall_at_5
value: 17.761
verified: no, task: type: Classification
dataset: name: MTEB EmotionClassification
type: mteb/emotion
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 51.51
verified: no, type: f1
value: 47.632159862049896
verified: no, task: type: Retrieval
dataset: name: MTEB FEVER
type: fever
config: default
split: test
revision: None
metrics: type: map_at_1
value: 60.734
verified: no, type: map_at_10
value: 72.442
verified: no, type: map_at_100
value: 72.735
verified: no, type: map_at_1000
value: 72.75
verified: no, type: map_at_3
value: 70.41199999999999
verified: no, type: map_at_5
value: 71.80499999999999
verified: no, type: mrr_at_1
value: 65.212
verified: no, type: mrr_at_10
value: 76.613
verified: no, type: mrr_at_100
value: 76.79899999999999
verified: no, type: mrr_at_1000
value: 76.801
verified: no, type: mrr_at_3
value: 74.8
verified: no, type: mrr_at_5
value: 76.12400000000001
verified: no, type: ndcg_at_1
value: 65.212
verified: no, type: ndcg_at_10
value: 77.988
verified: no, type: ndcg_at_100
value: 79.167
verified: no, type: ndcg_at_1000
value: 79.452
verified: no, type: ndcg_at_3
value: 74.362
verified: no, type: ndcg_at_5
value: 76.666
verified: no, type: precision_at_1
value: 65.212
verified: no, type: precision_at_10
value: 10.003
verified: no, type: precision_at_100
value: 1.077
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 29.518
verified: no, type: precision_at_5
value: 19.016
verified: no, type: recall_at_1
value: 60.734
verified: no, type: recall_at_10
value: 90.824
verified: no, type: recall_at_100
value: 95.71600000000001
verified: no, type: recall_at_1000
value: 97.577
verified: no, type: recall_at_3
value: 81.243
verified: no, type: recall_at_5
value: 86.90299999999999
verified: no, task: type: Retrieval
dataset: name: MTEB FiQA2018
type: fiqa
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.845
verified: no, type: map_at_10
value: 39.281
verified: no, type: map_at_100
value: 41.422
verified: no, type: map_at_1000
value: 41.593
verified: no, type: map_at_3
value: 34.467
verified: no, type: map_at_5
value: 37.017
verified: no, type: mrr_at_1
value: 47.531
verified: no, type: mrr_at_10
value: 56.204
verified: no, type: mrr_at_100
value: 56.928999999999995
verified: no, type: mrr_at_1000
value: 56.962999999999994
verified: no, type: mrr_at_3
value: 54.115
verified: no, type: mrr_at_5
value: 55.373000000000005
verified: no, type: ndcg_at_1
value: 47.531
verified: no, type: ndcg_at_10
value: 47.711999999999996
verified: no, type: ndcg_at_100
value: 54.510999999999996
verified: no, type: ndcg_at_1000
value: 57.103
verified: no, type: ndcg_at_3
value: 44.145
verified: no, type: ndcg_at_5
value: 45.032
verified: no, type: precision_at_1
value: 47.531
verified: no, type: precision_at_10
value: 13.194
verified: no, type: precision_at_100
value: 2.045
verified: no, type: precision_at_1000
value: 0.249
verified: no, type: precision_at_3
value: 29.424
verified: no, type: precision_at_5
value: 21.451
verified: no, type: recall_at_1
value: 23.845
verified: no, type: recall_at_10
value: 54.967
verified: no, type: recall_at_100
value: 79.11399999999999
verified: no, type: recall_at_1000
value: 94.56700000000001
verified: no, type: recall_at_3
value: 40.256
verified: no, type: recall_at_5
value: 46.215
verified: no, task: type: Retrieval
dataset: name: MTEB HotpotQA
type: hotpotqa
config: default
split: test
revision: None
metrics: type: map_at_1
value: 37.819
verified: no, type: map_at_10
value: 60.889
verified: no, type: map_at_100
value: 61.717999999999996
verified: no, type: map_at_1000
value: 61.778
verified: no, type: map_at_3
value: 57.254000000000005
verified: no, type: map_at_5
value: 59.541
verified: no, type: mrr_at_1
value: 75.638
verified: no, type: mrr_at_10
value: 82.173
verified: no, type: mrr_at_100
value: 82.362
verified: no, type: mrr_at_1000
value: 82.37
verified: no, type: mrr_at_3
value: 81.089
verified: no, type: mrr_at_5
value: 81.827
verified: no, type: ndcg_at_1
value: 75.638
verified: no, type: ndcg_at_10
value: 69.317
verified: no, type: ndcg_at_100
value: 72.221
verified: no, type: ndcg_at_1000
value: 73.382
verified: no, type: ndcg_at_3
value: 64.14
verified: no, type: ndcg_at_5
value: 67.07600000000001
verified: no, type: precision_at_1
value: 75.638
verified: no, type: precision_at_10
value: 14.704999999999998
verified: no, type: precision_at_100
value: 1.698
verified: no, type: precision_at_1000
value: 0.185
verified: no, type: precision_at_3
value: 41.394999999999996
verified: no, type: precision_at_5
value: 27.162999999999997
verified: no, type: recall_at_1
value: 37.819
verified: no, type: recall_at_10
value: 73.52499999999999
verified: no, type: recall_at_100
value: 84.875
verified: no, type: recall_at_1000
value: 92.559
verified: no, type: recall_at_3
value: 62.092999999999996
verified: no, type: recall_at_5
value: 67.907
verified: no, task: type: Classification
dataset: name: MTEB ImdbClassification
type: mteb/imdb
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 94.60079999999999
verified: no, type: ap
value: 92.67396345347356
verified: no, type: f1
value: 94.5988098167121
verified: no, task: type: Retrieval
dataset: name: MTEB MSMARCO
type: msmarco
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 21.285
verified: no, type: map_at_10
value: 33.436
verified: no, type: map_at_100
value: 34.63
verified: no, type: map_at_1000
value: 34.681
verified: no, type: map_at_3
value: 29.412
verified: no, type: map_at_5
value: 31.715
verified: no, type: mrr_at_1
value: 21.848
verified: no, type: mrr_at_10
value: 33.979
verified: no, type: mrr_at_100
value: 35.118
verified: no, type: mrr_at_1000
value: 35.162
verified: no, type: mrr_at_3
value: 30.036
verified: no, type: mrr_at_5
value: 32.298
verified: no, type: ndcg_at_1
value: 21.862000000000002
verified: no, type: ndcg_at_10
value: 40.43
verified: no, type: ndcg_at_100
value: 46.17
verified: no, type: ndcg_at_1000
value: 47.412
verified: no, type: ndcg_at_3
value: 32.221
verified: no, type: ndcg_at_5
value: 36.332
verified: no, type: precision_at_1
value: 21.862000000000002
verified: no, type: precision_at_10
value: 6.491
verified: no, type: precision_at_100
value: 0.935
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 13.744
verified: no, type: precision_at_5
value: 10.331999999999999
verified: no, type: recall_at_1
value: 21.285
verified: no, type: recall_at_10
value: 62.083
verified: no, type: recall_at_100
value: 88.576
verified: no, type: recall_at_1000
value: 98.006
verified: no, type: recall_at_3
value: 39.729
verified: no, type: recall_at_5
value: 49.608000000000004
verified: no, task: type: Classification
dataset: name: MTEB MTOPDomainClassification (en)
type: mteb/mtop_domain
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.92612859097127
verified: no, type: f1
value: 93.82370333372853
verified: no, task: type: Classification
dataset: name: MTEB MTOPDomainClassification (de)
type: mteb/mtop_domain
config: de
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 92.67681036911807
verified: no, type: f1
value: 92.14191382411472
verified: no, task: type: Classification
dataset: name: MTEB MTOPDomainClassification (es)
type: mteb/mtop_domain
config: es
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 92.26817878585723
verified: no, type: f1
value: 91.92824250337878
verified: no, task: type: Classification
dataset: name: MTEB MTOPDomainClassification (fr)
type: mteb/mtop_domain
config: fr
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 89.96554963983714
verified: no, type: f1
value: 90.02859329630792
verified: no, task: type: Classification
dataset: name: MTEB MTOPDomainClassification (hi)
type: mteb/mtop_domain
config: hi
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 90.02509860164935
verified: no, type: f1
value: 89.30665159182062
verified: no, task: type: Classification
dataset: name: MTEB MTOPDomainClassification (th)
type: mteb/mtop_domain
config: th
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 87.55515370705244
verified: no, type: f1
value: 87.94449232331907
verified: no, task: type: Classification
dataset: name: MTEB MTOPIntentClassification (en)
type: mteb/mtop_intent
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 82.4623803009576
verified: no, type: f1
value: 66.06738378772725
verified: no, task: type: Classification
dataset: name: MTEB MTOPIntentClassification (de)
type: mteb/mtop_intent
config: de
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 79.3716539870386
verified: no, type: f1
value: 60.37614033396853
verified: no, task: type: Classification
dataset: name: MTEB MTOPIntentClassification (es)
type: mteb/mtop_intent
config: es
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 80.34022681787857
verified: no, type: f1
value: 58.302008026952
verified: no, task: type: Classification
dataset: name: MTEB MTOPIntentClassification (fr)
type: mteb/mtop_intent
config: fr
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 76.72095208268087
verified: no, type: f1
value: 59.64524724009049
verified: no, task: type: Classification
dataset: name: MTEB MTOPIntentClassification (hi)
type: mteb/mtop_intent
config: hi
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 77.87020437432773
verified: no, type: f1
value: 57.80202694670567
verified: no, task: type: Classification
dataset: name: MTEB MTOPIntentClassification (th)
type: mteb/mtop_intent
config: th
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 77.73598553345387
verified: no, type: f1
value: 58.19628250675031
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (af)
type: mteb/amazon_massive_intent
config: af
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 67.6630800268998
verified: no, type: f1
value: 65.00996668051691
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (am)
type: mteb/amazon_massive_intent
config: am
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 60.7128446536651
verified: no, type: f1
value: 57.95860594874963
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ar)
type: mteb/amazon_massive_intent
config: ar
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 63.61129791526563
verified: no, type: f1
value: 59.75328290206483
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (az)
type: mteb/amazon_massive_intent
config: az
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.00134498991257
verified: no, type: f1
value: 67.0230483991802
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (bn)
type: mteb/amazon_massive_intent
config: bn
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 68.54068594485541
verified: no, type: f1
value: 65.54604628946976
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (cy)
type: mteb/amazon_massive_intent
config: cy
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 63.032952252858095
verified: no, type: f1
value: 58.715741857057104
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (da)
type: mteb/amazon_massive_intent
config: da
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 71.80901143241427
verified: no, type: f1
value: 68.33963989243877
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (de)
type: mteb/amazon_massive_intent
config: de
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.47141896435777
verified: no, type: f1
value: 69.56765020308262
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (el)
type: mteb/amazon_massive_intent
config: el
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 71.2373907195696
verified: no, type: f1
value: 69.04529836036467
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (en)
type: mteb/amazon_massive_intent
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 77.05783456624076
verified: no, type: f1
value: 74.69430584708174
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (es)
type: mteb/amazon_massive_intent
config: es
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.82111634162744
verified: no, type: f1
value: 70.77228952803762
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (fa)
type: mteb/amazon_massive_intent
config: fa
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.25353059852051
verified: no, type: f1
value: 71.05310103416411
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (fi)
type: mteb/amazon_massive_intent
config: fi
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.28648285137861
verified: no, type: f1
value: 69.08020473732226
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (fr)
type: mteb/amazon_massive_intent
config: fr
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 73.31540013449899
verified: no, type: f1
value: 70.9426355465791
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (he)
type: mteb/amazon_massive_intent
config: he
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 70.2151983860121
verified: no, type: f1
value: 67.52541755908858
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (hi)
type: mteb/amazon_massive_intent
config: hi
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 71.58372562205784
verified: no, type: f1
value: 69.49769064229827
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (hu)
type: mteb/amazon_massive_intent
config: hu
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 71.9233355749832
verified: no, type: f1
value: 69.36311548259593
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (hy)
type: mteb/amazon_massive_intent
config: hy
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 68.07330195023538
verified: no, type: f1
value: 64.99882022345572
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (id)
type: mteb/amazon_massive_intent
config: id
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.62273032952253
verified: no, type: f1
value: 70.6394885471001
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (is)
type: mteb/amazon_massive_intent
config: is
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 65.77000672494957
verified: no, type: f1
value: 62.9368944815065
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (it)
type: mteb/amazon_massive_intent
config: it
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 73.453261600538
verified: no, type: f1
value: 70.85069934666681
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ja)
type: mteb/amazon_massive_intent
config: ja
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.6906523201076
verified: no, type: f1
value: 72.03249740074217
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (jv)
type: mteb/amazon_massive_intent
config: jv
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 63.03631472763953
verified: no, type: f1
value: 59.3165215571852
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ka)
type: mteb/amazon_massive_intent
config: ka
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 58.913920645595155
verified: no, type: f1
value: 57.367337711611285
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (km)
type: mteb/amazon_massive_intent
config: km
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 54.42837928715535
verified: no, type: f1
value: 52.60527294970906
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (kn)
type: mteb/amazon_massive_intent
config: kn
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 66.33490248823135
verified: no, type: f1
value: 63.213340969404065
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ko)
type: mteb/amazon_massive_intent
config: ko
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 70.58507061197041
verified: no, type: f1
value: 68.40256628040486
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (lv)
type: mteb/amazon_massive_intent
config: lv
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.11230665770006
verified: no, type: f1
value: 66.44863577842305
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ml)
type: mteb/amazon_massive_intent
config: ml
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.70073974445192
verified: no, type: f1
value: 67.21291337273702
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (mn)
type: mteb/amazon_massive_intent
config: mn
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 66.43913920645595
verified: no, type: f1
value: 64.09838087422806
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ms)
type: mteb/amazon_massive_intent
config: ms
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 70.80026899798251
verified: no, type: f1
value: 68.76986742962444
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (my)
type: mteb/amazon_massive_intent
config: my
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 64.78816408876934
verified: no, type: f1
value: 62.18781873428972
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (nb)
type: mteb/amazon_massive_intent
config: nb
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 71.6577000672495
verified: no, type: f1
value: 68.75171511133003
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (nl)
type: mteb/amazon_massive_intent
config: nl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.42501681237391
verified: no, type: f1
value: 71.18434963451544
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (pl)
type: mteb/amazon_massive_intent
config: pl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 73.64828513786146
verified: no, type: f1
value: 70.67741914007422
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (pt)
type: mteb/amazon_massive_intent
config: pt
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 73.62811028917284
verified: no, type: f1
value: 71.36402039740959
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ro)
type: mteb/amazon_massive_intent
config: ro
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 71.88634835238736
verified: no, type: f1
value: 69.23701923480677
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ru)
type: mteb/amazon_massive_intent
config: ru
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.15938130464022
verified: no, type: f1
value: 71.87792218993388
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (sl)
type: mteb/amazon_massive_intent
config: sl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.96301277740416
verified: no, type: f1
value: 67.29584200202983
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (sq)
type: mteb/amazon_massive_intent
config: sq
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.49562878278412
verified: no, type: f1
value: 66.91716685679431
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (sv)
type: mteb/amazon_massive_intent
config: sv
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 74.6805648957633
verified: no, type: f1
value: 72.02723592594374
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (sw)
type: mteb/amazon_massive_intent
config: sw
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 63.00605245460659
verified: no, type: f1
value: 60.16716669482932
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ta)
type: mteb/amazon_massive_intent
config: ta
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 66.90988567585742
verified: no, type: f1
value: 63.99405488777784
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (te)
type: mteb/amazon_massive_intent
config: te
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 67.62273032952253
verified: no, type: f1
value: 65.17213906909481
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (th)
type: mteb/amazon_massive_intent
config: th
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.50907868190988
verified: no, type: f1
value: 69.15165697194853
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (tl)
type: mteb/amazon_massive_intent
config: tl
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.30733019502352
verified: no, type: f1
value: 66.69024007380474
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (tr)
type: mteb/amazon_massive_intent
config: tr
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 72.24277067921989
verified: no, type: f1
value: 68.80515408492947
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (ur)
type: mteb/amazon_massive_intent
config: ur
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 67.49831876260929
verified: no, type: f1
value: 64.83778567111116
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (vi)
type: mteb/amazon_massive_intent
config: vi
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 71.28782784129119
verified: no, type: f1
value: 69.3294186700733
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (zh-CN)
type: mteb/amazon_massive_intent
config: zh-CN
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 73.315400134499
verified: no, type: f1
value: 71.22674385243207
verified: no, task: type: Classification
dataset: name: MTEB MassiveIntentClassification (zh-TW)
type: mteb/amazon_massive_intent
config: zh-TW
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 69.37794216543377
verified: no, type: f1
value: 68.96962492838232
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (af)
type: mteb/amazon_massive_scenario
config: af
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 73.33557498318764
verified: no, type: f1
value: 72.28949738478356
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (am)
type: mteb/amazon_massive_scenario
config: am
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 65.84398117014123
verified: no, type: f1
value: 64.71026362091463
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ar)
type: mteb/amazon_massive_scenario
config: ar
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 69.76462676529925
verified: no, type: f1
value: 69.8229667407667
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (az)
type: mteb/amazon_massive_scenario
config: az
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 72.02420981842636
verified: no, type: f1
value: 71.76576384895898
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (bn)
type: mteb/amazon_massive_scenario
config: bn
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 72.7572293207801
verified: no, type: f1
value: 72.76840765295256
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (cy)
type: mteb/amazon_massive_scenario
config: cy
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 68.02286482851379
verified: no, type: f1
value: 66.17237947327872
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (da)
type: mteb/amazon_massive_scenario
config: da
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.60928043039678
verified: no, type: f1
value: 77.27094731234773
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (de)
type: mteb/amazon_massive_scenario
config: de
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.68325487558843
verified: no, type: f1
value: 77.97530399082261
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (el)
type: mteb/amazon_massive_scenario
config: el
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.13315400134498
verified: no, type: f1
value: 75.97558584796424
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (en)
type: mteb/amazon_massive_scenario
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 80.47410894418292
verified: no, type: f1
value: 80.52244841473792
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (es)
type: mteb/amazon_massive_scenario
config: es
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.9670477471419
verified: no, type: f1
value: 77.37318805793146
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (fa)
type: mteb/amazon_massive_scenario
config: fa
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.09683927370544
verified: no, type: f1
value: 77.69773737430847
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (fi)
type: mteb/amazon_massive_scenario
config: fi
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 75.20847343644922
verified: no, type: f1
value: 75.17071738727348
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (fr)
type: mteb/amazon_massive_scenario
config: fr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.07464694014796
verified: no, type: f1
value: 77.16136207698571
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (he)
type: mteb/amazon_massive_scenario
config: he
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 73.53396099529255
verified: no, type: f1
value: 73.58296404484122
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (hi)
type: mteb/amazon_massive_scenario
config: hi
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 75.75319435104237
verified: no, type: f1
value: 75.24674707850833
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (hu)
type: mteb/amazon_massive_scenario
config: hu
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.0948217888366
verified: no, type: f1
value: 76.47559490205028
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (hy)
type: mteb/amazon_massive_scenario
config: hy
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 71.07599193006052
verified: no, type: f1
value: 70.76028043093511
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (id)
type: mteb/amazon_massive_scenario
config: id
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.10490921318089
verified: no, type: f1
value: 77.01215275283272
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (is)
type: mteb/amazon_massive_scenario
config: is
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 71.25756556825824
verified: no, type: f1
value: 70.20605314648762
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (it)
type: mteb/amazon_massive_scenario
config: it
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.08137188971082
verified: no, type: f1
value: 77.3899269057439
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ja)
type: mteb/amazon_massive_scenario
config: ja
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 79.35440484196369
verified: no, type: f1
value: 79.58964690002772
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (jv)
type: mteb/amazon_massive_scenario
config: jv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 68.42299932750504
verified: no, type: f1
value: 68.07844356925413
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ka)
type: mteb/amazon_massive_scenario
config: ka
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 66.15669132481507
verified: no, type: f1
value: 65.89383352608513
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (km)
type: mteb/amazon_massive_scenario
config: km
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 60.11432414256894
verified: no, type: f1
value: 57.69910594559806
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (kn)
type: mteb/amazon_massive_scenario
config: kn
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 71.24747814391392
verified: no, type: f1
value: 70.42455553830918
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ko)
type: mteb/amazon_massive_scenario
config: ko
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.46267652992603
verified: no, type: f1
value: 76.8854559308316
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (lv)
type: mteb/amazon_massive_scenario
config: lv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 73.24815063887021
verified: no, type: f1
value: 72.77805034658074
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ml)
type: mteb/amazon_massive_scenario
config: ml
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 74.11566913248151
verified: no, type: f1
value: 73.86147988001356
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (mn)
type: mteb/amazon_massive_scenario
config: mn
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 70.0168123739072
verified: no, type: f1
value: 69.38515920054571
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ms)
type: mteb/amazon_massive_scenario
config: ms
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 74.41156691324814
verified: no, type: f1
value: 73.43474953408237
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (my)
type: mteb/amazon_massive_scenario
config: my
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 68.39609952925353
verified: no, type: f1
value: 67.29731681109291
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (nb)
type: mteb/amazon_massive_scenario
config: nb
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.20914593140552
verified: no, type: f1
value: 77.07066497935367
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (nl)
type: mteb/amazon_massive_scenario
config: nl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.52387357094821
verified: no, type: f1
value: 78.5259569473291
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (pl)
type: mteb/amazon_massive_scenario
config: pl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.6913248150639
verified: no, type: f1
value: 76.91201656350455
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (pt)
type: mteb/amazon_massive_scenario
config: pt
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.1217215870881
verified: no, type: f1
value: 77.41179937912504
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ro)
type: mteb/amazon_massive_scenario
config: ro
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 75.25891055817083
verified: no, type: f1
value: 75.8089244542887
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ru)
type: mteb/amazon_massive_scenario
config: ru
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 77.70679219905851
verified: no, type: f1
value: 78.21459594517711
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (sl)
type: mteb/amazon_massive_scenario
config: sl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 74.83523873570948
verified: no, type: f1
value: 74.86847028401978
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (sq)
type: mteb/amazon_massive_scenario
config: sq
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 74.71755211835911
verified: no, type: f1
value: 74.0214326485662
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (sv)
type: mteb/amazon_massive_scenario
config: sv
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 79.06523201075991
verified: no, type: f1
value: 79.10545620325138
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (sw)
type: mteb/amazon_massive_scenario
config: sw
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 67.91862811028918
verified: no, type: f1
value: 66.50386121217983
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ta)
type: mteb/amazon_massive_scenario
config: ta
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 70.93140551445865
verified: no, type: f1
value: 70.755435928495
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (te)
type: mteb/amazon_massive_scenario
config: te
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 72.40753194351042
verified: no, type: f1
value: 71.61816115782923
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (th)
type: mteb/amazon_massive_scenario
config: th
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 75.1815736381977
verified: no, type: f1
value: 75.08016717887205
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (tl)
type: mteb/amazon_massive_scenario
config: tl
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 72.86482851378614
verified: no, type: f1
value: 72.39521180006291
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (tr)
type: mteb/amazon_massive_scenario
config: tr
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 76.46940147948891
verified: no, type: f1
value: 76.70044085362349
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (ur)
type: mteb/amazon_massive_scenario
config: ur
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 71.89307330195024
verified: no, type: f1
value: 71.5721825332298
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (vi)
type: mteb/amazon_massive_scenario
config: vi
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 74.7511768661735
verified: no, type: f1
value: 75.17918654541515
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (zh-CN)
type: mteb/amazon_massive_scenario
config: zh-CN
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 78.69535978480162
verified: no, type: f1
value: 78.90019070153316
verified: no, task: type: Classification
dataset: name: MTEB MassiveScenarioClassification (zh-TW)
type: mteb/amazon_massive_scenario
config: zh-TW
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 75.45729657027572
verified: no, type: f1
value: 76.19578371794672
verified: no, task: type: Clustering
dataset: name: MTEB MedrxivClusteringP2P
type: mteb/medrxiv-clustering-p2p
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics: type: v_measure
value: 36.92715354123554
verified: no, task: type: Clustering
dataset: name: MTEB MedrxivClusteringS2S
type: mteb/medrxiv-clustering-s2s
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 35.53536244162518
verified: no, task: type: Reranking
dataset: name: MTEB MindSmallReranking
type: mteb/mind_small
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 33.08507884504006
verified: no, type: mrr
value: 34.32436977159129
verified: no, task: type: Retrieval
dataset: name: MTEB NFCorpus
type: nfcorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 5.935
verified: no, type: map_at_10
value: 13.297
verified: no, type: map_at_100
value: 16.907
verified: no, type: map_at_1000
value: 18.391
verified: no, type: map_at_3
value: 9.626999999999999
verified: no, type: map_at_5
value: 11.190999999999999
verified: no, type: mrr_at_1
value: 46.129999999999995
verified: no, type: mrr_at_10
value: 54.346000000000004
verified: no, type: mrr_at_100
value: 55.067
verified: no, type: mrr_at_1000
value: 55.1
verified: no, type: mrr_at_3
value: 51.961
verified: no, type: mrr_at_5
value: 53.246
verified: no, type: ndcg_at_1
value: 44.118
verified: no, type: ndcg_at_10
value: 35.534
verified: no, type: ndcg_at_100
value: 32.946999999999996
verified: no, type: ndcg_at_1000
value: 41.599000000000004
verified: no, type: ndcg_at_3
value: 40.25
verified: no, type: ndcg_at_5
value: 37.978
verified: no, type: precision_at_1
value: 46.129999999999995
verified: no, type: precision_at_10
value: 26.842
verified: no, type: precision_at_100
value: 8.427
verified: no, type: precision_at_1000
value: 2.128
verified: no, type: precision_at_3
value: 37.977
verified: no, type: precision_at_5
value: 32.879000000000005
verified: no, type: recall_at_1
value: 5.935
verified: no, type: recall_at_10
value: 17.211000000000002
verified: no, type: recall_at_100
value: 34.33
verified: no, type: recall_at_1000
value: 65.551
verified: no, type: recall_at_3
value: 10.483
verified: no, type: recall_at_5
value: 13.078999999999999
verified: no, task: type: Retrieval
dataset: name: MTEB NQ
type: nq
config: default
split: test
revision: None
metrics: type: map_at_1
value: 35.231
verified: no, type: map_at_10
value: 50.202000000000005
verified: no, type: map_at_100
value: 51.154999999999994
verified: no, type: map_at_1000
value: 51.181
verified: no, type: map_at_3
value: 45.774
verified: no, type: map_at_5
value: 48.522
verified: no, type: mrr_at_1
value: 39.687
verified: no, type: mrr_at_10
value: 52.88
verified: no, type: mrr_at_100
value: 53.569
verified: no, type: mrr_at_1000
value: 53.58500000000001
verified: no, type: mrr_at_3
value: 49.228
verified: no, type: mrr_at_5
value: 51.525
verified: no, type: ndcg_at_1
value: 39.687
verified: no, type: ndcg_at_10
value: 57.754000000000005
verified: no, type: ndcg_at_100
value: 61.597
verified: no, type: ndcg_at_1000
value: 62.18900000000001
verified: no, type: ndcg_at_3
value: 49.55
verified: no, type: ndcg_at_5
value: 54.11899999999999
verified: no, type: precision_at_1
value: 39.687
verified: no, type: precision_at_10
value: 9.313
verified: no, type: precision_at_100
value: 1.146
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 22.229
verified: no, type: precision_at_5
value: 15.939
verified: no, type: recall_at_1
value: 35.231
verified: no, type: recall_at_10
value: 78.083
verified: no, type: recall_at_100
value: 94.42099999999999
verified: no, type: recall_at_1000
value: 98.81
verified: no, type: recall_at_3
value: 57.047000000000004
verified: no, type: recall_at_5
value: 67.637
verified: no, task: type: Retrieval
dataset: name: MTEB QuoraRetrieval
type: quora
config: default
split: test
revision: None
metrics: type: map_at_1
value: 71.241
verified: no, type: map_at_10
value: 85.462
verified: no, type: map_at_100
value: 86.083
verified: no, type: map_at_1000
value: 86.09700000000001
verified: no, type: map_at_3
value: 82.49499999999999
verified: no, type: map_at_5
value: 84.392
verified: no, type: mrr_at_1
value: 82.09
verified: no, type: mrr_at_10
value: 88.301
verified: no, type: mrr_at_100
value: 88.383
verified: no, type: mrr_at_1000
value: 88.384
verified: no, type: mrr_at_3
value: 87.37
verified: no, type: mrr_at_5
value: 88.035
verified: no, type: ndcg_at_1
value: 82.12
verified: no, type: ndcg_at_10
value: 89.149
verified: no, type: ndcg_at_100
value: 90.235
verified: no, type: ndcg_at_1000
value: 90.307
verified: no, type: ndcg_at_3
value: 86.37599999999999
verified: no, type: ndcg_at_5
value: 87.964
verified: no, type: precision_at_1
value: 82.12
verified: no, type: precision_at_10
value: 13.56
verified: no, type: precision_at_100
value: 1.539
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.88
verified: no, type: precision_at_5
value: 24.92
verified: no, type: recall_at_1
value: 71.241
verified: no, type: recall_at_10
value: 96.128
verified: no, type: recall_at_100
value: 99.696
verified: no, type: recall_at_1000
value: 99.994
verified: no, type: recall_at_3
value: 88.181
verified: no, type: recall_at_5
value: 92.694
verified: no, task: type: Clustering
dataset: name: MTEB RedditClustering
type: mteb/reddit-clustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 56.59757799655151
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: 64.27391998854624
verified: no, task: type: Retrieval
dataset: name: MTEB SCIDOCS
type: scidocs
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.243
verified: no, type: map_at_10
value: 10.965
verified: no, type: map_at_100
value: 12.934999999999999
verified: no, type: map_at_1000
value: 13.256
verified: no, type: map_at_3
value: 7.907
verified: no, type: map_at_5
value: 9.435
verified: no, type: mrr_at_1
value: 20.9
verified: no, type: mrr_at_10
value: 31.849
verified: no, type: mrr_at_100
value: 32.964
verified: no, type: mrr_at_1000
value: 33.024
verified: no, type: mrr_at_3
value: 28.517
verified: no, type: mrr_at_5
value: 30.381999999999998
verified: no, type: ndcg_at_1
value: 20.9
verified: no, type: ndcg_at_10
value: 18.723
verified: no, type: ndcg_at_100
value: 26.384999999999998
verified: no, type: ndcg_at_1000
value: 32.114
verified: no, type: ndcg_at_3
value: 17.753
verified: no, type: ndcg_at_5
value: 15.558
verified: no, type: precision_at_1
value: 20.9
verified: no, type: precision_at_10
value: 9.8
verified: no, type: precision_at_100
value: 2.078
verified: no, type: precision_at_1000
value: 0.345
verified: no, type: precision_at_3
value: 16.900000000000002
verified: no, type: precision_at_5
value: 13.88
verified: no, type: recall_at_1
value: 4.243
verified: no, type: recall_at_10
value: 19.885
verified: no, type: recall_at_100
value: 42.17
verified: no, type: recall_at_1000
value: 70.12
verified: no, type: recall_at_3
value: 10.288
verified: no, type: recall_at_5
value: 14.072000000000001
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: 85.84209174935282
verified: no, type: cos_sim_spearman
value: 81.73248048438833
verified: no, type: euclidean_pearson
value: 83.02810070308149
verified: no, type: euclidean_spearman
value: 81.73248295679514
verified: no, type: manhattan_pearson
value: 82.95368060376002
verified: no, type: manhattan_spearman
value: 81.60277910998718
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: 88.52628804556943
verified: no, type: cos_sim_spearman
value: 82.5713913555672
verified: no, type: euclidean_pearson
value: 85.8796774746988
verified: no, type: euclidean_spearman
value: 82.57137506803424
verified: no, type: manhattan_pearson
value: 85.79671002960058
verified: no, type: manhattan_spearman
value: 82.49445981618027
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: 86.23682503505542
verified: no, type: cos_sim_spearman
value: 87.15008956711806
verified: no, type: euclidean_pearson
value: 86.79805401524959
verified: no, type: euclidean_spearman
value: 87.15008956711806
verified: no, type: manhattan_pearson
value: 86.65298502699244
verified: no, type: manhattan_spearman
value: 86.97677821948562
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: 85.63370304677802
verified: no, type: cos_sim_spearman
value: 84.97105553540318
verified: no, type: euclidean_pearson
value: 85.28896108687721
verified: no, type: euclidean_spearman
value: 84.97105553540318
verified: no, type: manhattan_pearson
value: 85.09663190337331
verified: no, type: manhattan_spearman
value: 84.79126831644619
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: 90.2614838800733
verified: no, type: cos_sim_spearman
value: 91.0509162991835
verified: no, type: euclidean_pearson
value: 90.33098317533373
verified: no, type: euclidean_spearman
value: 91.05091625871644
verified: no, type: manhattan_pearson
value: 90.26250435151107
verified: no, type: manhattan_spearman
value: 90.97999594417519
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: 85.80480973335091
verified: no, type: cos_sim_spearman
value: 87.313695492969
verified: no, type: euclidean_pearson
value: 86.49267251576939
verified: no, type: euclidean_spearman
value: 87.313695492969
verified: no, type: manhattan_pearson
value: 86.44019901831935
verified: no, type: manhattan_spearman
value: 87.24205395460392
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: 90.05662789380672
verified: no, type: cos_sim_spearman
value: 90.02759424426651
verified: no, type: euclidean_pearson
value: 90.4042483422981
verified: no, type: euclidean_spearman
value: 90.02759424426651
verified: no, type: manhattan_pearson
value: 90.51446975000226
verified: no, type: manhattan_spearman
value: 90.08832889933616
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: 67.5975528273532
verified: no, type: cos_sim_spearman
value: 67.62969861411354
verified: no, type: euclidean_pearson
value: 69.224275734323
verified: no, type: euclidean_spearman
value: 67.62969861411354
verified: no, type: manhattan_pearson
value: 69.3761447059927
verified: no, type: manhattan_spearman
value: 67.90921005611467
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: 87.11244327231684
verified: no, type: cos_sim_spearman
value: 88.37902438979035
verified: no, type: euclidean_pearson
value: 87.86054279847336
verified: no, type: euclidean_spearman
value: 88.37902438979035
verified: no, type: manhattan_pearson
value: 87.77257757320378
verified: no, type: manhattan_spearman
value: 88.25208966098123
verified: no, task: type: Reranking
dataset: name: MTEB SciDocsRR
type: mteb/scidocs-reranking
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 85.87174608143563
verified: no, type: mrr
value: 96.12836872640794
verified: no, task: type: Retrieval
dataset: name: MTEB SciFact
type: scifact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 57.760999999999996
verified: no, type: map_at_10
value: 67.258
verified: no, type: map_at_100
value: 67.757
verified: no, type: map_at_1000
value: 67.78800000000001
verified: no, type: map_at_3
value: 64.602
verified: no, type: map_at_5
value: 65.64
verified: no, type: mrr_at_1
value: 60.667
verified: no, type: mrr_at_10
value: 68.441
verified: no, type: mrr_at_100
value: 68.825
verified: no, type: mrr_at_1000
value: 68.853
verified: no, type: mrr_at_3
value: 66.444
verified: no, type: mrr_at_5
value: 67.26100000000001
verified: no, type: ndcg_at_1
value: 60.667
verified: no, type: ndcg_at_10
value: 71.852
verified: no, type: ndcg_at_100
value: 73.9
verified: no, type: ndcg_at_1000
value: 74.628
verified: no, type: ndcg_at_3
value: 67.093
verified: no, type: ndcg_at_5
value: 68.58
verified: no, type: precision_at_1
value: 60.667
verified: no, type: precision_at_10
value: 9.6
verified: no, type: precision_at_100
value: 1.0670000000000002
verified: no, type: precision_at_1000
value: 0.11199999999999999
verified: no, type: precision_at_3
value: 26.111
verified: no, type: precision_at_5
value: 16.733
verified: no, type: recall_at_1
value: 57.760999999999996
verified: no, type: recall_at_10
value: 84.967
verified: no, type: recall_at_100
value: 93.833
verified: no, type: recall_at_1000
value: 99.333
verified: no, type: recall_at_3
value: 71.589
verified: no, type: recall_at_5
value: 75.483
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: 99.66633663366336
verified: no, type: cos_sim_ap
value: 91.17685358899108
verified: no, type: cos_sim_f1
value: 82.16818642350559
verified: no, type: cos_sim_precision
value: 83.26488706365504
verified: no, type: cos_sim_recall
value: 81.10000000000001
verified: no, type: dot_accuracy
value: 99.66633663366336
verified: no, type: dot_ap
value: 91.17663411119032
verified: no, type: dot_f1
value: 82.16818642350559
verified: no, type: dot_precision
value: 83.26488706365504
verified: no, type: dot_recall
value: 81.10000000000001
verified: no, type: euclidean_accuracy
value: 99.66633663366336
verified: no, type: euclidean_ap
value: 91.17685189882275
verified: no, type: euclidean_f1
value: 82.16818642350559
verified: no, type: euclidean_precision
value: 83.26488706365504
verified: no, type: euclidean_recall
value: 81.10000000000001
verified: no, type: manhattan_accuracy
value: 99.66633663366336
verified: no, type: manhattan_ap
value: 91.2241619496737
verified: no, type: manhattan_f1
value: 82.20472440944883
verified: no, type: manhattan_precision
value: 86.51933701657458
verified: no, type: manhattan_recall
value: 78.3
verified: no, type: max_accuracy
value: 99.66633663366336
verified: no, type: max_ap
value: 91.2241619496737
verified: no, type: max_f1
value: 82.20472440944883
verified: no, task: type: Clustering
dataset: name: MTEB StackExchangeClustering
type: mteb/stackexchange-clustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 66.85101268897951
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: 42.461184054706905
verified: no, task: type: Reranking
dataset: name: MTEB StackOverflowDupQuestions
type: mteb/stackoverflowdupquestions-reranking
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 51.44542568873886
verified: no, type: mrr
value: 52.33656151854681
verified: no, task: type: Summarization
dataset: name: MTEB SummEval
type: mteb/summeval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 30.75982974997539
verified: no, type: cos_sim_spearman
value: 30.385405026539914
verified: no, type: dot_pearson
value: 30.75982433546523
verified: no, type: dot_spearman
value: 30.385405026539914
verified: no, task: type: Retrieval
dataset: name: MTEB TRECCOVID
type: trec-covid
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.22799999999999998
verified: no, type: map_at_10
value: 2.064
verified: no, type: map_at_100
value: 13.056000000000001
verified: no, type: map_at_1000
value: 31.747999999999998
verified: no, type: map_at_3
value: 0.67
verified: no, type: map_at_5
value: 1.097
verified: no, type: mrr_at_1
value: 90
verified: no, type: mrr_at_10
value: 94.667
verified: no, type: mrr_at_100
value: 94.667
verified: no, type: mrr_at_1000
value: 94.667
verified: no, type: mrr_at_3
value: 94.667
verified: no, type: mrr_at_5
value: 94.667
verified: no, type: ndcg_at_1
value: 86
verified: no, type: ndcg_at_10
value: 82
verified: no, type: ndcg_at_100
value: 64.307
verified: no, type: ndcg_at_1000
value: 57.023999999999994
verified: no, type: ndcg_at_3
value: 85.816
verified: no, type: ndcg_at_5
value: 84.904
verified: no, type: precision_at_1
value: 90
verified: no, type: precision_at_10
value: 85.8
verified: no, type: precision_at_100
value: 66.46
verified: no, type: precision_at_1000
value: 25.202
verified: no, type: precision_at_3
value: 90
verified: no, type: precision_at_5
value: 89.2
verified: no, type: recall_at_1
value: 0.22799999999999998
verified: no, type: recall_at_10
value: 2.235
verified: no, type: recall_at_100
value: 16.185
verified: no, type: recall_at_1000
value: 53.620999999999995
verified: no, type: recall_at_3
value: 0.7040000000000001
verified: no, type: recall_at_5
value: 1.172
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: 97.39999999999999
verified: no, type: f1
value: 96.75
verified: no, type: precision
value: 96.45
verified: no, type: recall
value: 97.39999999999999
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: 85.54913294797689
verified: no, type: f1
value: 82.46628131021194
verified: no, type: precision
value: 81.1175337186898
verified: no, type: recall
value: 85.54913294797689
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: 81.21951219512195
verified: no, type: f1
value: 77.33333333333334
verified: no, type: precision
value: 75.54878048780488
verified: no, type: recall
value: 81.21951219512195
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: 98.6
verified: no, type: f1
value: 98.26666666666665
verified: no, type: precision
value: 98.1
verified: no, type: recall
value: 98.6
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: 99.5
verified: no, type: f1
value: 99.33333333333333
verified: no, type: precision
value: 99.25
verified: no, type: recall
value: 99.5
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: 97.8
verified: no, type: f1
value: 97.2
verified: no, type: precision
value: 96.89999999999999
verified: no, type: recall
value: 97.8
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: 97.8
verified: no, type: f1
value: 97.18333333333334
verified: no, type: precision
value: 96.88333333333333
verified: no, type: recall
value: 97.8
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: 77.61194029850746
verified: no, type: f1
value: 72.81094527363183
verified: no, type: precision
value: 70.83333333333333
verified: no, type: recall
value: 77.61194029850746
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: 93.7
verified: no, type: f1
value: 91.91666666666667
verified: no, type: precision
value: 91.08333333333334
verified: no, type: recall
value: 93.7
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: 88.29268292682927
verified: no, type: f1
value: 85.27642276422765
verified: no, type: precision
value: 84.01277584204414
verified: no, type: recall
value: 88.29268292682927
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: 96.1
verified: no, type: f1
value: 95
verified: no, type: precision
value: 94.46666666666668
verified: no, type: recall
value: 96.1
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: 93.681652490887
verified: no, type: f1
value: 91.90765492102065
verified: no, type: precision
value: 91.05913325232888
verified: no, type: recall
value: 93.681652490887
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (cym-eng)
type: mteb/tatoeba-bitext-mining
config: cym-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 92.17391304347827
verified: no, type: f1
value: 89.97101449275361
verified: no, type: precision
value: 88.96811594202899
verified: no, type: recall
value: 92.17391304347827
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (kaz-eng)
type: mteb/tatoeba-bitext-mining
config: kaz-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 90.43478260869566
verified: no, type: f1
value: 87.72173913043478
verified: no, type: precision
value: 86.42028985507245
verified: no, type: recall
value: 90.43478260869566
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (est-eng)
type: mteb/tatoeba-bitext-mining
config: est-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 90.4
verified: no, type: f1
value: 88.03
verified: no, type: precision
value: 86.95
verified: no, type: recall
value: 90.4
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (heb-eng)
type: mteb/tatoeba-bitext-mining
config: heb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.4
verified: no, type: f1
value: 91.45666666666666
verified: no, type: precision
value: 90.525
verified: no, type: recall
value: 93.4
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (gla-eng)
type: mteb/tatoeba-bitext-mining
config: gla-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 81.9059107358263
verified: no, type: f1
value: 78.32557872364869
verified: no, type: precision
value: 76.78260286824823
verified: no, type: recall
value: 81.9059107358263
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (mar-eng)
type: mteb/tatoeba-bitext-mining
config: mar-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.3
verified: no, type: f1
value: 92.58333333333333
verified: no, type: precision
value: 91.73333333333332
verified: no, type: recall
value: 94.3
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (lat-eng)
type: mteb/tatoeba-bitext-mining
config: lat-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 79.10000000000001
verified: no, type: f1
value: 74.50500000000001
verified: no, type: precision
value: 72.58928571428571
verified: no, type: recall
value: 79.10000000000001
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (bel-eng)
type: mteb/tatoeba-bitext-mining
config: bel-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.6
verified: no, type: f1
value: 95.55
verified: no, type: precision
value: 95.05
verified: no, type: recall
value: 96.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (pms-eng)
type: mteb/tatoeba-bitext-mining
config: pms-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 82.0952380952381
verified: no, type: f1
value: 77.98458049886621
verified: no, type: precision
value: 76.1968253968254
verified: no, type: recall
value: 82.0952380952381
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (gle-eng)
type: mteb/tatoeba-bitext-mining
config: gle-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 87.9
verified: no, type: f1
value: 84.99190476190476
verified: no, type: precision
value: 83.65
verified: no, type: recall
value: 87.9
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (pes-eng)
type: mteb/tatoeba-bitext-mining
config: pes-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.7
verified: no, type: f1
value: 94.56666666666666
verified: no, type: precision
value: 94.01666666666667
verified: no, type: recall
value: 95.7
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (nob-eng)
type: mteb/tatoeba-bitext-mining
config: nob-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 98.6
verified: no, type: f1
value: 98.2
verified: no, type: precision
value: 98
verified: no, type: recall
value: 98.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (bul-eng)
type: mteb/tatoeba-bitext-mining
config: bul-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.6
verified: no, type: f1
value: 94.38333333333334
verified: no, type: precision
value: 93.78333333333335
verified: no, type: recall
value: 95.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (cbk-eng)
type: mteb/tatoeba-bitext-mining
config: cbk-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 87.4
verified: no, type: f1
value: 84.10380952380952
verified: no, type: precision
value: 82.67
verified: no, type: recall
value: 87.4
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (hun-eng)
type: mteb/tatoeba-bitext-mining
config: hun-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.5
verified: no, type: f1
value: 94.33333333333334
verified: no, type: precision
value: 93.78333333333333
verified: no, type: recall
value: 95.5
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (uig-eng)
type: mteb/tatoeba-bitext-mining
config: uig-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 89.4
verified: no, type: f1
value: 86.82000000000001
verified: no, type: precision
value: 85.64500000000001
verified: no, type: recall
value: 89.4
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (rus-eng)
type: mteb/tatoeba-bitext-mining
config: rus-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.1
verified: no, type: f1
value: 93.56666666666668
verified: no, type: precision
value: 92.81666666666666
verified: no, type: recall
value: 95.1
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (spa-eng)
type: mteb/tatoeba-bitext-mining
config: spa-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 98.9
verified: no, type: f1
value: 98.6
verified: no, type: precision
value: 98.45
verified: no, type: recall
value: 98.9
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (hye-eng)
type: mteb/tatoeba-bitext-mining
config: hye-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.01347708894879
verified: no, type: f1
value: 93.51752021563343
verified: no, type: precision
value: 92.82794249775381
verified: no, type: recall
value: 95.01347708894879
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (tel-eng)
type: mteb/tatoeba-bitext-mining
config: tel-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.00854700854701
verified: no, type: f1
value: 96.08262108262107
verified: no, type: precision
value: 95.65527065527067
verified: no, type: recall
value: 97.00854700854701
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (afr-eng)
type: mteb/tatoeba-bitext-mining
config: afr-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.5
verified: no, type: f1
value: 95.39999999999999
verified: no, type: precision
value: 94.88333333333333
verified: no, type: recall
value: 96.5
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (mon-eng)
type: mteb/tatoeba-bitext-mining
config: mon-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.5909090909091
verified: no, type: f1
value: 95.49242424242425
verified: no, type: precision
value: 94.9621212121212
verified: no, type: recall
value: 96.5909090909091
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (arz-eng)
type: mteb/tatoeba-bitext-mining
config: arz-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 84.90566037735849
verified: no, type: f1
value: 81.85883997204752
verified: no, type: precision
value: 80.54507337526205
verified: no, type: recall
value: 84.90566037735849
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (hrv-eng)
type: mteb/tatoeba-bitext-mining
config: hrv-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.5
verified: no, type: f1
value: 96.75
verified: no, type: precision
value: 96.38333333333333
verified: no, type: recall
value: 97.5
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (nov-eng)
type: mteb/tatoeba-bitext-mining
config: nov-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 86.7704280155642
verified: no, type: f1
value: 82.99610894941635
verified: no, type: precision
value: 81.32295719844358
verified: no, type: recall
value: 86.7704280155642
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (gsw-eng)
type: mteb/tatoeba-bitext-mining
config: gsw-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 67.52136752136752
verified: no, type: f1
value: 61.89662189662191
verified: no, type: precision
value: 59.68660968660969
verified: no, type: recall
value: 67.52136752136752
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (nds-eng)
type: mteb/tatoeba-bitext-mining
config: nds-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 89.2
verified: no, type: f1
value: 86.32
verified: no, type: precision
value: 85.015
verified: no, type: recall
value: 89.2
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ukr-eng)
type: mteb/tatoeba-bitext-mining
config: ukr-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96
verified: no, type: f1
value: 94.78333333333333
verified: no, type: precision
value: 94.18333333333334
verified: no, type: recall
value: 96
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (uzb-eng)
type: mteb/tatoeba-bitext-mining
config: uzb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 83.8785046728972
verified: no, type: f1
value: 80.54517133956385
verified: no, type: precision
value: 79.154984423676
verified: no, type: recall
value: 83.8785046728972
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (lit-eng)
type: mteb/tatoeba-bitext-mining
config: lit-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.60000000000001
verified: no, type: f1
value: 92.01333333333334
verified: no, type: precision
value: 91.28333333333333
verified: no, type: recall
value: 93.60000000000001
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ina-eng)
type: mteb/tatoeba-bitext-mining
config: ina-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.1
verified: no, type: f1
value: 96.26666666666667
verified: no, type: precision
value: 95.85000000000001
verified: no, type: recall
value: 97.1
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (lfn-eng)
type: mteb/tatoeba-bitext-mining
config: lfn-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 84.3
verified: no, type: f1
value: 80.67833333333333
verified: no, type: precision
value: 79.03928571428571
verified: no, type: recall
value: 84.3
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (zsm-eng)
type: mteb/tatoeba-bitext-mining
config: zsm-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.3
verified: no, type: f1
value: 96.48333333333332
verified: no, type: precision
value: 96.08333333333331
verified: no, type: recall
value: 97.3
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ita-eng)
type: mteb/tatoeba-bitext-mining
config: ita-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.7
verified: no, type: f1
value: 94.66666666666667
verified: no, type: precision
value: 94.16666666666667
verified: no, type: recall
value: 95.7
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (cmn-eng)
type: mteb/tatoeba-bitext-mining
config: cmn-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.2
verified: no, type: f1
value: 96.36666666666667
verified: no, type: precision
value: 95.96666666666668
verified: no, type: recall
value: 97.2
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (lvs-eng)
type: mteb/tatoeba-bitext-mining
config: lvs-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.3
verified: no, type: f1
value: 92.80666666666667
verified: no, type: precision
value: 92.12833333333333
verified: no, type: recall
value: 94.3
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (glg-eng)
type: mteb/tatoeba-bitext-mining
config: glg-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97
verified: no, type: f1
value: 96.22333333333334
verified: no, type: precision
value: 95.875
verified: no, type: recall
value: 97
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ceb-eng)
type: mteb/tatoeba-bitext-mining
config: ceb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 74.33333333333333
verified: no, type: f1
value: 70.78174603174602
verified: no, type: precision
value: 69.28333333333332
verified: no, type: recall
value: 74.33333333333333
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (bre-eng)
type: mteb/tatoeba-bitext-mining
config: bre-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 37.6
verified: no, type: f1
value: 32.938348952090365
verified: no, type: precision
value: 31.2811038961039
verified: no, type: recall
value: 37.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ben-eng)
type: mteb/tatoeba-bitext-mining
config: ben-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 91.5
verified: no, type: f1
value: 89.13333333333333
verified: no, type: precision
value: 88.03333333333333
verified: no, type: recall
value: 91.5
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (swg-eng)
type: mteb/tatoeba-bitext-mining
config: swg-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 82.14285714285714
verified: no, type: f1
value: 77.67857142857143
verified: no, type: precision
value: 75.59523809523809
verified: no, type: recall
value: 82.14285714285714
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (arq-eng)
type: mteb/tatoeba-bitext-mining
config: arq-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 69.0450054884742
verified: no, type: f1
value: 63.070409283362075
verified: no, type: precision
value: 60.58992781824835
verified: no, type: recall
value: 69.0450054884742
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (kab-eng)
type: mteb/tatoeba-bitext-mining
config: kab-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 63.1
verified: no, type: f1
value: 57.848333333333336
verified: no, type: precision
value: 55.69500000000001
verified: no, type: recall
value: 63.1
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (fra-eng)
type: mteb/tatoeba-bitext-mining
config: fra-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.1
verified: no, type: f1
value: 95.01666666666667
verified: no, type: precision
value: 94.5
verified: no, type: recall
value: 96.1
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (por-eng)
type: mteb/tatoeba-bitext-mining
config: por-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.89999999999999
verified: no, type: f1
value: 94.90666666666667
verified: no, type: precision
value: 94.425
verified: no, type: recall
value: 95.89999999999999
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (tat-eng)
type: mteb/tatoeba-bitext-mining
config: tat-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 87.6
verified: no, type: f1
value: 84.61333333333333
verified: no, type: precision
value: 83.27
verified: no, type: recall
value: 87.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (oci-eng)
type: mteb/tatoeba-bitext-mining
config: oci-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 76.4
verified: no, type: f1
value: 71.90746031746032
verified: no, type: precision
value: 70.07027777777778
verified: no, type: recall
value: 76.4
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (pol-eng)
type: mteb/tatoeba-bitext-mining
config: pol-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.89999999999999
verified: no, type: f1
value: 97.26666666666667
verified: no, type: precision
value: 96.95
verified: no, type: recall
value: 97.89999999999999
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (war-eng)
type: mteb/tatoeba-bitext-mining
config: war-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 78.8
verified: no, type: f1
value: 74.39555555555555
verified: no, type: precision
value: 72.59416666666667
verified: no, type: recall
value: 78.8
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (aze-eng)
type: mteb/tatoeba-bitext-mining
config: aze-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.19999999999999
verified: no, type: f1
value: 93.78999999999999
verified: no, type: precision
value: 93.125
verified: no, type: recall
value: 95.19999999999999
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (vie-eng)
type: mteb/tatoeba-bitext-mining
config: vie-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.8
verified: no, type: f1
value: 97.1
verified: no, type: precision
value: 96.75
verified: no, type: recall
value: 97.8
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (nno-eng)
type: mteb/tatoeba-bitext-mining
config: nno-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.6
verified: no, type: f1
value: 94.25666666666666
verified: no, type: precision
value: 93.64166666666668
verified: no, type: recall
value: 95.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (cha-eng)
type: mteb/tatoeba-bitext-mining
config: cha-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 56.934306569343065
verified: no, type: f1
value: 51.461591936044485
verified: no, type: precision
value: 49.37434827945776
verified: no, type: recall
value: 56.934306569343065
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (mhr-eng)
type: mteb/tatoeba-bitext-mining
config: mhr-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 20.200000000000003
verified: no, type: f1
value: 16.91799284049284
verified: no, type: precision
value: 15.791855158730158
verified: no, type: recall
value: 20.200000000000003
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (dan-eng)
type: mteb/tatoeba-bitext-mining
config: dan-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.2
verified: no, type: f1
value: 95.3
verified: no, type: precision
value: 94.85
verified: no, type: recall
value: 96.2
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ell-eng)
type: mteb/tatoeba-bitext-mining
config: ell-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.3
verified: no, type: f1
value: 95.11666666666667
verified: no, type: precision
value: 94.53333333333333
verified: no, type: recall
value: 96.3
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (amh-eng)
type: mteb/tatoeba-bitext-mining
config: amh-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 89.88095238095238
verified: no, type: f1
value: 87.14285714285714
verified: no, type: precision
value: 85.96230158730161
verified: no, type: recall
value: 89.88095238095238
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (pam-eng)
type: mteb/tatoeba-bitext-mining
config: pam-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 24.099999999999998
verified: no, type: f1
value: 19.630969083349783
verified: no, type: precision
value: 18.275094905094907
verified: no, type: recall
value: 24.099999999999998
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (hsb-eng)
type: mteb/tatoeba-bitext-mining
config: hsb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 83.4368530020704
verified: no, type: f1
value: 79.45183870649709
verified: no, type: precision
value: 77.7432712215321
verified: no, type: recall
value: 83.4368530020704
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (srp-eng)
type: mteb/tatoeba-bitext-mining
config: srp-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.8
verified: no, type: f1
value: 94.53333333333333
verified: no, type: precision
value: 93.91666666666666
verified: no, type: recall
value: 95.8
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (epo-eng)
type: mteb/tatoeba-bitext-mining
config: epo-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 98.8
verified: no, type: f1
value: 98.48333333333332
verified: no, type: precision
value: 98.33333333333334
verified: no, type: recall
value: 98.8
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (kzj-eng)
type: mteb/tatoeba-bitext-mining
config: kzj-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 17.5
verified: no, type: f1
value: 14.979285714285714
verified: no, type: precision
value: 14.23235060690943
verified: no, type: recall
value: 17.5
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (awa-eng)
type: mteb/tatoeba-bitext-mining
config: awa-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.93939393939394
verified: no, type: f1
value: 91.991341991342
verified: no, type: precision
value: 91.05339105339105
verified: no, type: recall
value: 93.93939393939394
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (fao-eng)
type: mteb/tatoeba-bitext-mining
config: fao-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 89.31297709923665
verified: no, type: f1
value: 86.76844783715012
verified: no, type: precision
value: 85.63613231552164
verified: no, type: recall
value: 89.31297709923665
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (mal-eng)
type: mteb/tatoeba-bitext-mining
config: mal-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 99.12663755458514
verified: no, type: f1
value: 98.93255701115964
verified: no, type: precision
value: 98.83551673944687
verified: no, type: recall
value: 99.12663755458514
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ile-eng)
type: mteb/tatoeba-bitext-mining
config: ile-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 92
verified: no, type: f1
value: 89.77999999999999
verified: no, type: precision
value: 88.78333333333333
verified: no, type: recall
value: 92
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (bos-eng)
type: mteb/tatoeba-bitext-mining
config: bos-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.89265536723164
verified: no, type: f1
value: 95.85687382297553
verified: no, type: precision
value: 95.33898305084746
verified: no, type: recall
value: 96.89265536723164
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (cor-eng)
type: mteb/tatoeba-bitext-mining
config: cor-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 14.6
verified: no, type: f1
value: 11.820611790170615
verified: no, type: precision
value: 11.022616224355355
verified: no, type: recall
value: 14.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (cat-eng)
type: mteb/tatoeba-bitext-mining
config: cat-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.89999999999999
verified: no, type: f1
value: 94.93333333333334
verified: no, type: precision
value: 94.48666666666666
verified: no, type: recall
value: 95.89999999999999
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (eus-eng)
type: mteb/tatoeba-bitext-mining
config: eus-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 87.6
verified: no, type: f1
value: 84.72333333333334
verified: no, type: precision
value: 83.44166666666666
verified: no, type: recall
value: 87.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (yue-eng)
type: mteb/tatoeba-bitext-mining
config: yue-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.8
verified: no, type: f1
value: 93.47333333333333
verified: no, type: precision
value: 92.875
verified: no, type: recall
value: 94.8
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (swe-eng)
type: mteb/tatoeba-bitext-mining
config: swe-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.6
verified: no, type: f1
value: 95.71666666666665
verified: no, type: precision
value: 95.28333333333335
verified: no, type: recall
value: 96.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (dtp-eng)
type: mteb/tatoeba-bitext-mining
config: dtp-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 17.8
verified: no, type: f1
value: 14.511074040901628
verified: no, type: precision
value: 13.503791000666002
verified: no, type: recall
value: 17.8
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (kat-eng)
type: mteb/tatoeba-bitext-mining
config: kat-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.10187667560321
verified: no, type: f1
value: 92.46648793565683
verified: no, type: precision
value: 91.71134941912423
verified: no, type: recall
value: 94.10187667560321
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (jpn-eng)
type: mteb/tatoeba-bitext-mining
config: jpn-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97
verified: no, type: f1
value: 96.11666666666666
verified: no, type: precision
value: 95.68333333333334
verified: no, type: recall
value: 97
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (csb-eng)
type: mteb/tatoeba-bitext-mining
config: csb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 72.72727272727273
verified: no, type: f1
value: 66.58949745906267
verified: no, type: precision
value: 63.86693017127799
verified: no, type: recall
value: 72.72727272727273
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (xho-eng)
type: mteb/tatoeba-bitext-mining
config: xho-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 90.14084507042254
verified: no, type: f1
value: 88.26291079812206
verified: no, type: precision
value: 87.32394366197182
verified: no, type: recall
value: 90.14084507042254
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (orv-eng)
type: mteb/tatoeba-bitext-mining
config: orv-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 64.67065868263472
verified: no, type: f1
value: 58.2876627696987
verified: no, type: precision
value: 55.79255774165953
verified: no, type: recall
value: 64.67065868263472
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ind-eng)
type: mteb/tatoeba-bitext-mining
config: ind-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 95.6
verified: no, type: f1
value: 94.41666666666667
verified: no, type: precision
value: 93.85
verified: no, type: recall
value: 95.6
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (tuk-eng)
type: mteb/tatoeba-bitext-mining
config: tuk-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 55.172413793103445
verified: no, type: f1
value: 49.63992493549144
verified: no, type: precision
value: 47.71405113769646
verified: no, type: recall
value: 55.172413793103445
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (max-eng)
type: mteb/tatoeba-bitext-mining
config: max-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 77.46478873239437
verified: no, type: f1
value: 73.4417616811983
verified: no, type: precision
value: 71.91607981220658
verified: no, type: recall
value: 77.46478873239437
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (swh-eng)
type: mteb/tatoeba-bitext-mining
config: swh-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 84.61538461538461
verified: no, type: f1
value: 80.91452991452994
verified: no, type: precision
value: 79.33760683760683
verified: no, type: recall
value: 84.61538461538461
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (hin-eng)
type: mteb/tatoeba-bitext-mining
config: hin-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 98.2
verified: no, type: f1
value: 97.6
verified: no, type: precision
value: 97.3
verified: no, type: recall
value: 98.2
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (dsb-eng)
type: mteb/tatoeba-bitext-mining
config: dsb-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 75.5741127348643
verified: no, type: f1
value: 72.00417536534445
verified: no, type: precision
value: 70.53467872883321
verified: no, type: recall
value: 75.5741127348643
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ber-eng)
type: mteb/tatoeba-bitext-mining
config: ber-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 62.2
verified: no, type: f1
value: 55.577460317460314
verified: no, type: precision
value: 52.98583333333333
verified: no, type: recall
value: 62.2
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (tam-eng)
type: mteb/tatoeba-bitext-mining
config: tam-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 92.18241042345277
verified: no, type: f1
value: 90.6468124709167
verified: no, type: precision
value: 89.95656894679696
verified: no, type: recall
value: 92.18241042345277
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (slk-eng)
type: mteb/tatoeba-bitext-mining
config: slk-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.1
verified: no, type: f1
value: 95.13333333333333
verified: no, type: precision
value: 94.66666666666667
verified: no, type: recall
value: 96.1
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (tgl-eng)
type: mteb/tatoeba-bitext-mining
config: tgl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 96.8
verified: no, type: f1
value: 95.85000000000001
verified: no, type: precision
value: 95.39999999999999
verified: no, type: recall
value: 96.8
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ast-eng)
type: mteb/tatoeba-bitext-mining
config: ast-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 92.1259842519685
verified: no, type: f1
value: 89.76377952755905
verified: no, type: precision
value: 88.71391076115485
verified: no, type: recall
value: 92.1259842519685
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (mkd-eng)
type: mteb/tatoeba-bitext-mining
config: mkd-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.1
verified: no, type: f1
value: 92.49
verified: no, type: precision
value: 91.725
verified: no, type: recall
value: 94.1
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (khm-eng)
type: mteb/tatoeba-bitext-mining
config: khm-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 77.5623268698061
verified: no, type: f1
value: 73.27364463791058
verified: no, type: precision
value: 71.51947852086357
verified: no, type: recall
value: 77.5623268698061
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ces-eng)
type: mteb/tatoeba-bitext-mining
config: ces-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.39999999999999
verified: no, type: f1
value: 96.56666666666666
verified: no, type: precision
value: 96.16666666666667
verified: no, type: recall
value: 97.39999999999999
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (tzl-eng)
type: mteb/tatoeba-bitext-mining
config: tzl-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 66.34615384615384
verified: no, type: f1
value: 61.092032967032964
verified: no, type: precision
value: 59.27197802197802
verified: no, type: recall
value: 66.34615384615384
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (urd-eng)
type: mteb/tatoeba-bitext-mining
config: urd-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 94.89999999999999
verified: no, type: f1
value: 93.41190476190476
verified: no, type: precision
value: 92.7
verified: no, type: recall
value: 94.89999999999999
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (ara-eng)
type: mteb/tatoeba-bitext-mining
config: ara-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.10000000000001
verified: no, type: f1
value: 91.10000000000001
verified: no, type: precision
value: 90.13333333333333
verified: no, type: recall
value: 93.10000000000001
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (kor-eng)
type: mteb/tatoeba-bitext-mining
config: kor-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 93.7
verified: no, type: f1
value: 91.97333333333334
verified: no, type: precision
value: 91.14166666666667
verified: no, type: recall
value: 93.7
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (yid-eng)
type: mteb/tatoeba-bitext-mining
config: yid-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 92.21698113207547
verified: no, type: f1
value: 90.3796046720575
verified: no, type: precision
value: 89.56367924528303
verified: no, type: recall
value: 92.21698113207547
verified: no, task: type: BitextMining
dataset: name: MTEB Tatoeba (fin-eng)
type: mteb/tatoeba-bitext-mining
config: fin-eng
split: test
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
metrics: type: accuracy
value: 97.6
verified: no, type: f1
value: 96.91666666666667
verified: no, type: precision
value: 96.6
verified: no, type: recall
value: 97.6
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: 97.44525547445255
verified: no, type: f1
value: 96.71532846715328
verified: no, type: precision
value: 96.35036496350365
verified: no, type: recall
value: 97.44525547445255
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: 94.1
verified: no, type: f1
value: 92.34000000000002
verified: no, type: precision
value: 91.49166666666667
verified: no, type: recall
value: 94.1
verified: no, task: type: Retrieval
dataset: name: MTEB Touche2020
type: webis-touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 3.2910000000000004
verified: no, type: map_at_10
value: 10.373000000000001
verified: no, type: map_at_100
value: 15.612
verified: no, type: map_at_1000
value: 17.06
verified: no, type: map_at_3
value: 6.119
verified: no, type: map_at_5
value: 7.917000000000001
verified: no, type: mrr_at_1
value: 44.897999999999996
verified: no, type: mrr_at_10
value: 56.054
verified: no, type: mrr_at_100
value: 56.82000000000001
verified: no, type: mrr_at_1000
value: 56.82000000000001
verified: no, type: mrr_at_3
value: 52.381
verified: no, type: mrr_at_5
value: 53.81
verified: no, type: ndcg_at_1
value: 42.857
verified: no, type: ndcg_at_10
value: 27.249000000000002
verified: no, type: ndcg_at_100
value: 36.529
verified: no, type: ndcg_at_1000
value: 48.136
verified: no, type: ndcg_at_3
value: 33.938
verified: no, type: ndcg_at_5
value: 29.951
verified: no, type: precision_at_1
value: 44.897999999999996
verified: no, type: precision_at_10
value: 22.653000000000002
verified: no, type: precision_at_100
value: 7.000000000000001
verified: no, type: precision_at_1000
value: 1.48
verified: no, type: precision_at_3
value: 32.653
verified: no, type: precision_at_5
value: 27.755000000000003
verified: no, type: recall_at_1
value: 3.2910000000000004
verified: no, type: recall_at_10
value: 16.16
verified: no, type: recall_at_100
value: 43.908
verified: no, type: recall_at_1000
value: 79.823
verified: no, type: recall_at_3
value: 7.156
verified: no, type: recall_at_5
value: 10.204
verified: no, task: type: Classification
dataset: name: MTEB ToxicConversationsClassification
type: mteb/toxic_conversations_50k
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 71.05879999999999
verified: no, type: ap
value: 14.609748142799111
verified: no, type: f1
value: 54.878956295843096
verified: no, task: type: Classification
dataset: name: MTEB TweetSentimentExtractionClassification
type: mteb/tweet_sentiment_extraction
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 64.61799660441426
verified: no, type: f1
value: 64.8698191961434
verified: no, task: type: Clustering
dataset: name: MTEB TwentyNewsgroupsClustering
type: mteb/twentynewsgroups-clustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 51.32860036611885
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: 88.34714192048638
verified: no, type: cos_sim_ap
value: 80.26732975975634
verified: no, type: cos_sim_f1
value: 73.53415148134374
verified: no, type: cos_sim_precision
value: 69.34767360299276
verified: no, type: cos_sim_recall
value: 78.25857519788919
verified: no, type: dot_accuracy
value: 88.34714192048638
verified: no, type: dot_ap
value: 80.26733698491206
verified: no, type: dot_f1
value: 73.53415148134374
verified: no, type: dot_precision
value: 69.34767360299276
verified: no, type: dot_recall
value: 78.25857519788919
verified: no, type: euclidean_accuracy
value: 88.34714192048638
verified: no, type: euclidean_ap
value: 80.26734337771738
verified: no, type: euclidean_f1
value: 73.53415148134374
verified: no, type: euclidean_precision
value: 69.34767360299276
verified: no, type: euclidean_recall
value: 78.25857519788919
verified: no, type: manhattan_accuracy
value: 88.30541813196639
verified: no, type: manhattan_ap
value: 80.19415808104145
verified: no, type: manhattan_f1
value: 73.55143870713441
verified: no, type: manhattan_precision
value: 73.25307511122743
verified: no, type: manhattan_recall
value: 73.85224274406332
verified: no, type: max_accuracy
value: 88.34714192048638
verified: no, type: max_ap
value: 80.26734337771738
verified: no, type: max_f1
value: 73.55143870713441
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: 89.81061047075717
verified: no, type: cos_sim_ap
value: 87.11747055081017
verified: no, type: cos_sim_f1
value: 80.04355498817256
verified: no, type: cos_sim_precision
value: 78.1165262000733
verified: no, type: cos_sim_recall
value: 82.06806282722513
verified: no, type: dot_accuracy
value: 89.81061047075717
verified: no, type: dot_ap
value: 87.11746902745236
verified: no, type: dot_f1
value: 80.04355498817256
verified: no, type: dot_precision
value: 78.1165262000733
verified: no, type: dot_recall
value: 82.06806282722513
verified: no, type: euclidean_accuracy
value: 89.81061047075717
verified: no, type: euclidean_ap
value: 87.11746919324248
verified: no, type: euclidean_f1
value: 80.04355498817256
verified: no, type: euclidean_precision
value: 78.1165262000733
verified: no, type: euclidean_recall
value: 82.06806282722513
verified: no, type: manhattan_accuracy
value: 89.79508673885202
verified: no, type: manhattan_ap
value: 87.11074390832218
verified: no, type: manhattan_f1
value: 80.13002540726349
verified: no, type: manhattan_precision
value: 77.83826945412311
verified: no, type: manhattan_recall
value: 82.56082537727133
verified: no, type: max_accuracy
value: 89.81061047075717
verified: no, type: max_ap
value: 87.11747055081017
verified: no, type: max_f1
value: 80.13002540726349
verified: no
Likes: 0 | All-time downloads: 125
Created: 2025-03-21 16:39:22