Model: Teradata/gte-multilingual-base
Author: Teradata
Pipeline: sentence-similarity
Tags: onnx, mteb, multilingual, sentence-similarity, teradata, af, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, es, et, eu, fa, fi, fr, gl, gu, he, hi, hr, ht, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ky, lo, lt, lv, mk, ml, mn, mr, ms, my, ne, nl, no, pa, pl, pt, qu, ro, ru, si, sk, sl, so, sq, sr, sv, sw, ta, te, th, tl, tr, uk, ur, vi, yo, zh, license:apache-2.0, model-index, region:us
Card metadata: language: af, ar, az, be, bg, bn, ca, ceb, cs, cy, da, de, el, en, es, et, eu, fa, fi, fr, gl, gu, he, hi, hr, ht, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ky, lo, lt, lv, mk, ml, mn, mr, ms, my, ne, nl, no, pa, pl, pt, qu, ro, ru, si, sk, sl, so, sq, sr, sv, sw, ta, te, th, tl, tr, uk, ur, vi, yo, zh
license: apache-2.0
model-index: name: gte-multilingual-base (dense)
results: dataset: config: default
name: MTEB 8TagsClustering
revision: None
split: test
type: PL-MTEB/8tags-clustering
metrics: type: v_measure
value: 33.66681726329994
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AFQMC
revision: b44c3b011063adb25877c13823db83bb193913c4
split: validation
type: C-MTEB/AFQMC
metrics: type: cos_sim_spearman
value: 43.54760696384009
verified: no
task: type: STS, dataset: config: default
name: MTEB ATEC
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
split: test
type: C-MTEB/ATEC
metrics: type: cos_sim_spearman
value: 48.91186363417501
verified: no
task: type: STS, dataset: config: default
name: MTEB AllegroReviews
revision: None
split: test
type: PL-MTEB/allegro-reviews
metrics: type: accuracy
value: 41.689860834990064
verified: no
task: type: Classification, dataset: config: default
name: MTEB AlloProfClusteringP2P
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
split: test
type: lyon-nlp/alloprof
metrics: type: v_measure
value: 54.20241337977897
verified: no, type: v_measure
value: 44.34083695608643
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AlloprofReranking
revision: 666fdacebe0291776e86f29345663dfaf80a0db9
split: test
type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
metrics: type: map
value: 64.91495250072002
verified: no
task: type: Reranking, dataset: config: default
name: MTEB AlloprofRetrieval
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
split: test
type: lyon-nlp/alloprof
metrics: type: ndcg_at_10
value: 53.638
verified: no
task: type: Retrieval, dataset: config: en
name: MTEB AmazonCounterfactualClassification (en)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics: type: accuracy
value: 75.95522388059702
verified: no
task: type: Classification, dataset: config: default
name: MTEB AmazonPolarityClassification
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
split: test
type: mteb/amazon_polarity
metrics: type: accuracy
value: 80.717625
verified: no
task: type: Classification, dataset: config: en
name: MTEB AmazonReviewsClassification (en)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 43.64199999999999
verified: no
task: type: Classification, dataset: config: de
name: MTEB AmazonReviewsClassification (de)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 40.108
verified: no
task: type: Classification, dataset: config: es
name: MTEB AmazonReviewsClassification (es)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 40.169999999999995
verified: no
task: type: Classification, dataset: config: fr
name: MTEB AmazonReviewsClassification (fr)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 39.56799999999999
verified: no
task: type: Classification, dataset: config: ja
name: MTEB AmazonReviewsClassification (ja)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 35.75000000000001
verified: no
task: type: Classification, dataset: config: zh
name: MTEB AmazonReviewsClassification (zh)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 33.342000000000006
verified: no
task: type: Classification, dataset: config: default
name: MTEB ArguAna
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
split: test
type: mteb/arguana
metrics: type: ndcg_at_10
value: 58.231
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ArguAna-PL
revision: 63fc86750af76253e8c760fc9e534bbf24d260a2
split: test
type: clarin-knext/arguana-pl
metrics: type: ndcg_at_10
value: 53.166000000000004
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ArxivClusteringP2P
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
split: test
type: mteb/arxiv-clustering-p2p
metrics: type: v_measure
value: 46.01900557959478
verified: no
task: type: Clustering, dataset: config: default
name: MTEB ArxivClusteringS2S
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
split: test
type: mteb/arxiv-clustering-s2s
metrics: type: v_measure
value: 41.06626465345723
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AskUbuntuDupQuestions
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
split: test
type: mteb/askubuntudupquestions-reranking
metrics: type: map
value: 61.87514497610431
verified: no
task: type: Reranking, dataset: config: default
name: MTEB BIOSSES
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
split: test
type: mteb/biosses-sts
metrics: type: cos_sim_spearman
value: 81.21450112991194
verified: no
task: type: STS, dataset: config: default
name: MTEB BQ
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
split: test
type: C-MTEB/BQ
metrics: type: cos_sim_spearman
value: 51.71589543397271
verified: no
task: type: STS, dataset: config: default
name: MTEB BSARDRetrieval
revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
split: test
type: maastrichtlawtech/bsard
metrics: type: ndcg_at_10
value: 26.115
verified: no
task: type: Retrieval, dataset: config: de-en
name: MTEB BUCC (de-en)
revision: d51519689f32196a32af33b075a01d0e7c51e252
split: test
type: mteb/bucc-bitext-mining
metrics: type: f1
value: 98.6169102296451
verified: no
task: type: BitextMining, dataset: config: fr-en
name: MTEB BUCC (fr-en)
revision: d51519689f32196a32af33b075a01d0e7c51e252
split: test
type: mteb/bucc-bitext-mining
metrics: type: f1
value: 97.89603052314916
verified: no
task: type: BitextMining, dataset: config: ru-en
name: MTEB BUCC (ru-en)
revision: d51519689f32196a32af33b075a01d0e7c51e252
split: test
type: mteb/bucc-bitext-mining
metrics: type: f1
value: 97.12388869645537
verified: no
task: type: BitextMining, dataset: config: zh-en
name: MTEB BUCC (zh-en)
revision: d51519689f32196a32af33b075a01d0e7c51e252
split: test
type: mteb/bucc-bitext-mining
metrics: type: f1
value: 98.15692469720906
verified: no
task: type: BitextMining, dataset: config: default
name: MTEB Banking77Classification
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
split: test
type: mteb/banking77
metrics: type: accuracy
value: 85.36038961038962
verified: no
task: type: Classification, dataset: config: default
name: MTEB BiorxivClusteringP2P
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
split: test
type: mteb/biorxiv-clustering-p2p
metrics: type: v_measure
value: 37.5903826674123
verified: no
task: type: Clustering, dataset: config: default
name: MTEB BiorxivClusteringS2S
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
split: test
type: mteb/biorxiv-clustering-s2s
metrics: type: v_measure
value: 34.21474277151329
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CBD
revision: None
split: test
type: PL-MTEB/cbd
metrics: type: accuracy
value: 62.519999999999996
verified: no
task: type: Classification, dataset: config: default
name: MTEB CDSC-E
revision: None
split: test
type: PL-MTEB/cdsce-pairclassification
metrics: type: cos_sim_ap
value: 74.90132799162956
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB CDSC-R
revision: None
split: test
type: PL-MTEB/cdscr-sts
metrics: type: cos_sim_spearman
value: 90.30727955142524
verified: no
task: type: STS, dataset: config: default
name: MTEB CLSClusteringP2P
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
split: test
type: C-MTEB/CLSClusteringP2P
metrics: type: v_measure
value: 37.94850105022274
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CLSClusteringS2S
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
split: test
type: C-MTEB/CLSClusteringS2S
metrics: type: v_measure
value: 38.11958675421534
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CMedQAv1
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
split: test
type: C-MTEB/CMedQAv1-reranking
metrics: type: map
value: 86.10950950485399
verified: no
task: type: Reranking, dataset: config: default
name: MTEB CMedQAv2
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
split: test
type: C-MTEB/CMedQAv2-reranking
metrics: type: map
value: 87.28038294231966
verified: no
task: type: Reranking, dataset: config: default
name: MTEB CQADupstackAndroidRetrieval
revision: f46a197baaae43b4f621051089b82a364682dfeb
split: test
type: mteb/cqadupstack-android
metrics: type: ndcg_at_10
value: 47.099000000000004
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackEnglishRetrieval
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
split: test
type: mteb/cqadupstack-english
metrics: type: ndcg_at_10
value: 45.973000000000006
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackGamingRetrieval
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
split: test
type: mteb/cqadupstack-gaming
metrics: type: ndcg_at_10
value: 55.606
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackGisRetrieval
revision: 5003b3064772da1887988e05400cf3806fe491f2
split: test
type: mteb/cqadupstack-gis
metrics: type: ndcg_at_10
value: 36.638
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackMathematicaRetrieval
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
split: test
type: mteb/cqadupstack-mathematica
metrics: type: ndcg_at_10
value: 30.711
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackPhysicsRetrieval
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
split: test
type: mteb/cqadupstack-physics
metrics: type: ndcg_at_10
value: 44.523
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackProgrammersRetrieval
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
split: test
type: mteb/cqadupstack-programmers
metrics: type: ndcg_at_10
value: 37.940000000000005
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackRetrieval
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
split: test
type: mteb/cqadupstack
metrics: type: ndcg_at_10
value: 38.12183333333333
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackStatsRetrieval
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
split: test
type: mteb/cqadupstack-stats
metrics: type: ndcg_at_10
value: 32.684000000000005
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackTexRetrieval
revision: 46989137a86843e03a6195de44b09deda022eec7
split: test
type: mteb/cqadupstack-tex
metrics: type: ndcg_at_10
value: 26.735
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackUnixRetrieval
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
split: test
type: mteb/cqadupstack-unix
metrics: type: ndcg_at_10
value: 36.933
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackWebmastersRetrieval
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
split: test
type: mteb/cqadupstack-webmasters
metrics: type: ndcg_at_10
value: 33.747
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackWordpressRetrieval
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
split: test
type: mteb/cqadupstack-wordpress
metrics: type: ndcg_at_10
value: 28.872999999999998
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ClimateFEVER
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
split: test
type: mteb/climate-fever
metrics: type: ndcg_at_10
value: 34.833
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CmedqaRetrieval
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
split: dev
type: C-MTEB/CmedqaRetrieval
metrics: type: ndcg_at_10
value: 43.78
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB Cmnli
revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
split: validation
type: C-MTEB/CMNLI
metrics: type: cos_sim_ap
value: 84.00640599186677
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB CovidRetrieval
revision: 1271c7809071a13532e05f25fb53511ffce77117
split: dev
type: C-MTEB/CovidRetrieval
metrics: type: ndcg_at_10
value: 80.60000000000001
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB DBPedia
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
split: test
type: mteb/dbpedia
metrics: type: ndcg_at_10
value: 40.116
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB DBPedia-PL
revision: 76afe41d9af165cc40999fcaa92312b8b012064a
split: test
type: clarin-knext/dbpedia-pl
metrics: type: ndcg_at_10
value: 32.498
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB DuRetrieval
revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
split: dev
type: C-MTEB/DuRetrieval
metrics: type: ndcg_at_10
value: 87.547
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB EcomRetrieval
revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
split: dev
type: C-MTEB/EcomRetrieval
metrics: type: ndcg_at_10
value: 64.85
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB EmotionClassification
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
split: test
type: mteb/emotion
metrics: type: accuracy
value: 47.949999999999996
verified: no
task: type: Classification, dataset: config: default
name: MTEB FEVER
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
split: test
type: mteb/fever
metrics: type: ndcg_at_10
value: 92.111
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB FiQA-PL
revision: 2e535829717f8bf9dc829b7f911cc5bbd4e6608e
split: test
type: clarin-knext/fiqa-pl
metrics: type: ndcg_at_10
value: 28.962
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB FiQA2018
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
split: test
type: mteb/fiqa
metrics: type: ndcg_at_10
value: 45.005
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB HALClusteringS2S
revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
split: test
type: lyon-nlp/clustering-hal-s2s
metrics: type: v_measure
value: 25.133776435657595
verified: no
task: type: Clustering, dataset: config: default
name: MTEB HotpotQA
revision: ab518f4d6fcca38d87c25209f94beba119d02014
split: test
type: mteb/hotpotqa
metrics: type: ndcg_at_10
value: 63.036
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB HotpotQA-PL
revision: a0bd479ac97b4ccb5bd6ce320c415d0bb4beb907
split: test
type: clarin-knext/hotpotqa-pl
metrics: type: ndcg_at_10
value: 56.904999999999994
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB IFlyTek
revision: 421605374b29664c5fc098418fe20ada9bd55f8a
split: validation
type: C-MTEB/IFlyTek-classification
metrics: type: accuracy
value: 44.59407464409388
verified: no
task: type: Classification, dataset: config: default
name: MTEB ImdbClassification
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
split: test
type: mteb/imdb
metrics: type: accuracy
value: 74.912
verified: no
task: type: Classification, dataset: config: default
name: MTEB JDReview
revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
split: test
type: C-MTEB/JDReview-classification
metrics: type: accuracy
value: 79.26829268292683
verified: no
task: type: Classification, dataset: config: default
name: MTEB LCQMC
revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
split: test
type: C-MTEB/LCQMC
metrics: type: cos_sim_spearman
value: 74.8601229809791
verified: no
task: type: STS, dataset: config: default
name: MTEB MLSUMClusteringP2P
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: mlsum
metrics: type: v_measure
value: 42.331902754246556
verified: no, type: v_measure
value: 40.92029335502153
verified: no
task: type: Clustering, dataset: config: default
name: MTEB MMarcoReranking
revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6
split: dev
type: C-MTEB/Mmarco-reranking
metrics: type: map
value: 32.19266316591337
verified: no
task: type: Reranking, dataset: config: default
name: MTEB MMarcoRetrieval
revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
split: dev
type: C-MTEB/MMarcoRetrieval
metrics: type: ndcg_at_10
value: 79.346
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB MSMARCO
revision: c5a29a104738b98a9e76336939199e264163d4a0
split: dev
type: mteb/msmarco
metrics: type: ndcg_at_10
value: 39.922999999999995
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB MSMARCO-PL
revision: 8634c07806d5cce3a6138e260e59b81760a0a640
split: test
type: clarin-knext/msmarco-pl
metrics: type: ndcg_at_10
value: 55.620999999999995
verified: no
task: type: Retrieval, dataset: config: en
name: MTEB MTOPDomainClassification (en)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
value: 92.53989968080255
verified: no
task: type: Classification, dataset: config: de
name: MTEB MTOPDomainClassification (de)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
value: 88.26993519301212
verified: no
task: type: Classification, dataset: config: es
name: MTEB MTOPDomainClassification (es)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
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task: type: Classification, dataset: config: es
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task: type: Classification, dataset: config: fr
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task: type: Classification, dataset: config: hy
name: MTEB MassiveScenarioClassification (hy)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 60.13786146603901
verified: no
task: type: Classification, dataset: config: id
name: MTEB MassiveScenarioClassification (id)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 70.61533288500337
verified: no
task: type: Classification, dataset: config: is
name: MTEB MassiveScenarioClassification (is)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 61.526563550773375
verified: no
task: type: Classification, dataset: config: it
name: MTEB MassiveScenarioClassification (it)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 71.99731002017484
verified: no
task: type: Classification, dataset: config: ja
name: MTEB MassiveScenarioClassification (ja)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 71.59381304640216
verified: no
task: type: Classification, dataset: config: jv
name: MTEB MassiveScenarioClassification (jv)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 57.010759919300604
verified: no
task: type: Classification, dataset: config: ka
name: MTEB MassiveScenarioClassification (ka)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 53.26160053799597
verified: no
task: type: Classification, dataset: config: km
name: MTEB MassiveScenarioClassification (km)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 57.800941492938804
verified: no
task: type: Classification, dataset: config: kn
name: MTEB MassiveScenarioClassification (kn)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 62.387357094821795
verified: no
task: type: Classification, dataset: config: ko
name: MTEB MassiveScenarioClassification (ko)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 69.5359784801614
verified: no
task: type: Classification, dataset: config: lv
name: MTEB MassiveScenarioClassification (lv)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 63.36919973100203
verified: no
task: type: Classification, dataset: config: ml
name: MTEB MassiveScenarioClassification (ml)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 64.81506388702084
verified: no
task: type: Classification, dataset: config: mn
name: MTEB MassiveScenarioClassification (mn)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 59.35104236718225
verified: no
task: type: Classification, dataset: config: ms
name: MTEB MassiveScenarioClassification (ms)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 66.67787491593813
verified: no
task: type: Classification, dataset: config: my
name: MTEB MassiveScenarioClassification (my)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 59.4250168123739
verified: no
task: type: Classification, dataset: config: nb
name: MTEB MassiveScenarioClassification (nb)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 71.49630127774043
verified: no
task: type: Classification, dataset: config: nl
name: MTEB MassiveScenarioClassification (nl)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 71.95696032279758
verified: no
task: type: Classification, dataset: config: pl
name: MTEB MassiveScenarioClassification (pl)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 70.11768661735036
verified: no
task: type: Classification, dataset: config: pt
name: MTEB MassiveScenarioClassification (pt)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 71.86953597848016
verified: no
task: type: Classification, dataset: config: ro
name: MTEB MassiveScenarioClassification (ro)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 68.51042367182247
verified: no
task: type: Classification, dataset: config: ru
name: MTEB MassiveScenarioClassification (ru)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 71.65097511768661
verified: no
task: type: Classification, dataset: config: sl
name: MTEB MassiveScenarioClassification (sl)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 66.81573638197713
verified: no
task: type: Classification, dataset: config: sq
name: MTEB MassiveScenarioClassification (sq)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 65.26227303295225
verified: no
task: type: Classification, dataset: config: sv
name: MTEB MassiveScenarioClassification (sv)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 72.51513113651646
verified: no
task: type: Classification, dataset: config: sw
name: MTEB MassiveScenarioClassification (sw)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 58.29858776059179
verified: no
task: type: Classification, dataset: config: ta
name: MTEB MassiveScenarioClassification (ta)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 62.72696704774714
verified: no
task: type: Classification, dataset: config: te
name: MTEB MassiveScenarioClassification (te)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 66.57700067249496
verified: no
task: type: Classification, dataset: config: th
name: MTEB MassiveScenarioClassification (th)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 68.22797579018157
verified: no
task: type: Classification, dataset: config: tl
name: MTEB MassiveScenarioClassification (tl)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 61.97041022192333
verified: no
task: type: Classification, dataset: config: tr
name: MTEB MassiveScenarioClassification (tr)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 70.72629455279085
verified: no
task: type: Classification, dataset: config: ur
name: MTEB MassiveScenarioClassification (ur)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 63.16072629455278
verified: no
task: type: Classification, dataset: config: vi
name: MTEB MassiveScenarioClassification (vi)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 67.92199058507062
verified: no
task: type: Classification, dataset: config: zh-CN
name: MTEB MassiveScenarioClassification (zh-CN)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 74.40484196368527
verified: no
task: type: Classification, dataset: config: zh-TW
name: MTEB MassiveScenarioClassification (zh-TW)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 71.61398789509079
verified: no
task: type: Classification, dataset: config: default
name: MTEB MedicalRetrieval
revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
split: dev
type: C-MTEB/MedicalRetrieval
metrics: type: ndcg_at_10
value: 61.934999999999995
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB MedrxivClusteringP2P
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
split: test
type: mteb/medrxiv-clustering-p2p
metrics: type: v_measure
value: 33.052031054565205
verified: no
task: type: Clustering, dataset: config: default
name: MTEB MedrxivClusteringS2S
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
split: test
type: mteb/medrxiv-clustering-s2s
metrics: type: v_measure
value: 31.969909524076794
verified: no
task: type: Clustering, dataset: config: default
name: MTEB MindSmallReranking
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
split: test
type: mteb/mind_small
metrics: type: map
value: 31.7530992892652
verified: no
task: type: Reranking, dataset: config: fr
name: MTEB MintakaRetrieval (fr)
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
split: test
type: jinaai/mintakaqa
metrics: type: ndcg_at_10
value: 34.705999999999996
verified: no
task: type: Retrieval, dataset: config: ar
name: MTEB MultiLongDocRetrieval (ar)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 55.166000000000004
verified: no
task: type: Retrieval, dataset: config: de
name: MTEB MultiLongDocRetrieval (de)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 55.155
verified: no
task: type: Retrieval, dataset: config: en
name: MTEB MultiLongDocRetrieval (en)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 50.993
verified: no
task: type: Retrieval, dataset: config: es
name: MTEB MultiLongDocRetrieval (es)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 81.228
verified: no
task: type: Retrieval, dataset: config: fr
name: MTEB MultiLongDocRetrieval (fr)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 76.19
verified: no
task: type: Retrieval, dataset: config: hi
name: MTEB MultiLongDocRetrieval (hi)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 45.206
verified: no
task: type: Retrieval, dataset: config: it
name: MTEB MultiLongDocRetrieval (it)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 66.741
verified: no
task: type: Retrieval, dataset: config: ja
name: MTEB MultiLongDocRetrieval (ja)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 52.111
verified: no
task: type: Retrieval, dataset: config: ko
name: MTEB MultiLongDocRetrieval (ko)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 46.733000000000004
verified: no
task: type: Retrieval, dataset: config: pt
name: MTEB MultiLongDocRetrieval (pt)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 79.105
verified: no
task: type: Retrieval, dataset: config: ru
name: MTEB MultiLongDocRetrieval (ru)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 64.21
verified: no
task: type: Retrieval, dataset: config: th
name: MTEB MultiLongDocRetrieval (th)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 35.467
verified: no
task: type: Retrieval, dataset: config: zh
name: MTEB MultiLongDocRetrieval (zh)
revision: None
split: test
type: Shitao/MLDR
metrics: type: ndcg_at_10
value: 27.419
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB MultilingualSentiment
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
split: validation
type: C-MTEB/MultilingualSentiment-classification
metrics: type: accuracy
value: 61.02000000000001
verified: no
task: type: Classification, dataset: config: default
name: MTEB NFCorpus
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
split: test
type: mteb/nfcorpus
metrics: type: ndcg_at_10
value: 36.65
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB NFCorpus-PL
revision: 9a6f9567fda928260afed2de480d79c98bf0bec0
split: test
type: clarin-knext/nfcorpus-pl
metrics: type: ndcg_at_10
value: 26.831
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB NQ
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
split: test
type: mteb/nq
metrics: type: ndcg_at_10
value: 58.111000000000004
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB NQ-PL
revision: f171245712cf85dd4700b06bef18001578d0ca8d
split: test
type: clarin-knext/nq-pl
metrics: type: ndcg_at_10
value: 43.126999999999995
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB Ocnli
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
split: validation
type: C-MTEB/OCNLI
metrics: type: cos_sim_ap
value: 72.67630697316041
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB OnlineShopping
revision: e610f2ebd179a8fda30ae534c3878750a96db120
split: test
type: C-MTEB/OnlineShopping-classification
metrics: type: accuracy
value: 84.85000000000001
verified: no
task: type: Classification, dataset: config: fr
name: MTEB OpusparcusPC (fr)
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
split: test
type: GEM/opusparcus
metrics: type: cos_sim_ap
value: 100
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB PAC
revision: None
split: test
type: laugustyniak/abusive-clauses-pl
metrics: type: accuracy
value: 65.99189110918043
verified: no
task: type: Classification, dataset: config: default
name: MTEB PAWSX
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
split: test
type: C-MTEB/PAWSX
metrics: type: cos_sim_spearman
value: 16.124364530596228
verified: no
task: type: STS, dataset: config: default
name: MTEB PPC
revision: None
split: test
type: PL-MTEB/ppc-pairclassification
metrics: type: cos_sim_ap
value: 92.43431057460192
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB PSC
revision: None
split: test
type: PL-MTEB/psc-pairclassification
metrics: type: cos_sim_ap
value: 99.06090138049724
verified: no
task: type: PairClassification, dataset: config: fr
name: MTEB PawsX (fr)
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
split: test
type: paws-x
metrics: type: cos_sim_ap
value: 58.9314954874314
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB PolEmo2.0-IN
revision: None
split: test
type: PL-MTEB/polemo2_in
metrics: type: accuracy
value: 69.59833795013851
verified: no
task: type: Classification, dataset: config: default
name: MTEB PolEmo2.0-OUT
revision: None
split: test
type: PL-MTEB/polemo2_out
metrics: type: accuracy
value: 44.73684210526315
verified: no
task: type: Classification, dataset: config: default
name: MTEB QBQTC
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
split: test
type: C-MTEB/QBQTC
metrics: type: cos_sim_spearman
value: 39.36450754137984
verified: no
task: type: STS, dataset: config: default
name: MTEB Quora-PL
revision: 0be27e93455051e531182b85e85e425aba12e9d4
split: test
type: clarin-knext/quora-pl
metrics: type: ndcg_at_10
value: 80.76299999999999
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB QuoraRetrieval
revision: None
split: test
type: mteb/quora
metrics: type: ndcg_at_10
value: 88.022
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB RedditClustering
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
split: test
type: mteb/reddit-clustering
metrics: type: v_measure
value: 55.719165988934385
verified: no
task: type: Clustering, dataset: config: default
name: MTEB RedditClusteringP2P
revision: 282350215ef01743dc01b456c7f5241fa8937f16
split: test
type: mteb/reddit-clustering-p2p
metrics: type: v_measure
value: 62.25390069273025
verified: no
task: type: Clustering, dataset: config: default
name: MTEB SCIDOCS
revision: None
split: test
type: mteb/scidocs
metrics: type: ndcg_at_10
value: 18.243000000000002
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SCIDOCS-PL
revision: 45452b03f05560207ef19149545f168e596c9337
split: test
type: clarin-knext/scidocs-pl
metrics: type: ndcg_at_10
value: 14.219000000000001
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SICK-E-PL
revision: None
split: test
type: PL-MTEB/sicke-pl-pairclassification
metrics: type: cos_sim_ap
value: 75.4022630307816
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB SICK-R
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
split: test
type: mteb/sickr-sts
metrics: type: cos_sim_spearman
value: 79.34269390198548
verified: no
task: type: STS, dataset: config: default
name: MTEB SICK-R-PL
revision: None
split: test
type: PL-MTEB/sickr-pl-sts
metrics: type: cos_sim_spearman
value: 74.0651660446132
verified: no
task: type: STS, dataset: config: default
name: MTEB SICKFr
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
split: test
type: Lajavaness/SICK-fr
metrics: type: cos_sim_spearman
value: 78.62693119733123
verified: no
task: type: STS, dataset: config: default
name: MTEB STS12
revision: a0d554a64d88156834ff5ae9920b964011b16384
split: test
type: mteb/sts12-sts
metrics: type: cos_sim_spearman
value: 77.50660544631359
verified: no
task: type: STS, dataset: config: default
name: MTEB STS13
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
split: test
type: mteb/sts13-sts
metrics: type: cos_sim_spearman
value: 85.55415077723738
verified: no
task: type: STS, dataset: config: default
name: MTEB STS14
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
split: test
type: mteb/sts14-sts
metrics: type: cos_sim_spearman
value: 81.67550814479077
verified: no
task: type: STS, dataset: config: default
name: MTEB STS15
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
split: test
type: mteb/sts15-sts
metrics: type: cos_sim_spearman
value: 88.94601412322764
verified: no
task: type: STS, dataset: config: default
name: MTEB STS16
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
split: test
type: mteb/sts16-sts
metrics: type: cos_sim_spearman
value: 84.33844259337481
verified: no
task: type: STS, dataset: config: ko-ko
name: MTEB STS17 (ko-ko)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 81.58650681159105
verified: no
task: type: STS, dataset: config: ar-ar
name: MTEB STS17 (ar-ar)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 78.82472265884256
verified: no
task: type: STS, dataset: config: en-ar
name: MTEB STS17 (en-ar)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 76.43637938260397
verified: no
task: type: STS, dataset: config: en-de
name: MTEB STS17 (en-de)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 84.71008299464059
verified: no
task: type: STS, dataset: config: en-en
name: MTEB STS17 (en-en)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 88.88074713413747
verified: no
task: type: STS, dataset: config: en-tr
name: MTEB STS17 (en-tr)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 76.36405640457285
verified: no
task: type: STS, dataset: config: es-en
name: MTEB STS17 (es-en)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 83.84737910084762
verified: no
task: type: STS, dataset: config: es-es
name: MTEB STS17 (es-es)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 87.03931621433031
verified: no
task: type: STS, dataset: config: fr-en
name: MTEB STS17 (fr-en)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 84.43335591752246
verified: no
task: type: STS, dataset: config: it-en
name: MTEB STS17 (it-en)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 83.85268648747021
verified: no
task: type: STS, dataset: config: nl-en
name: MTEB STS17 (nl-en)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_spearman
value: 82.45786516224341
verified: no
task: type: STS, dataset: config: en
name: MTEB STS22 (en)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 67.20227303970304
verified: no
task: type: STS, dataset: config: de
name: MTEB STS22 (de)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 60.892838305537126
verified: no
task: type: STS, dataset: config: es
name: MTEB STS22 (es)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 72.01876318464508
verified: no
task: type: STS, dataset: config: pl
name: MTEB STS22 (pl)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 42.3879320510127
verified: no
task: type: STS, dataset: config: tr
name: MTEB STS22 (tr)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 65.54048784845729
verified: no
task: type: STS, dataset: config: ar
name: MTEB STS22 (ar)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 58.55244068334867
verified: no
task: type: STS, dataset: config: ru
name: MTEB STS22 (ru)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 66.48710288440624
verified: no
task: type: STS, dataset: config: zh
name: MTEB STS22 (zh)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 66.585754901838
verified: no
task: type: STS, dataset: config: fr
name: MTEB STS22 (fr)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 81.03001290557805
verified: no
task: type: STS, dataset: config: de-en
name: MTEB STS22 (de-en)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 62.28001859884359
verified: no
task: type: STS, dataset: config: es-en
name: MTEB STS22 (es-en)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 79.64106342105019
verified: no
task: type: STS, dataset: config: it
name: MTEB STS22 (it)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 78.27915339361124
verified: no
task: type: STS, dataset: config: pl-en
name: MTEB STS22 (pl-en)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 78.28574268257462
verified: no
task: type: STS, dataset: config: zh-en
name: MTEB STS22 (zh-en)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 72.92658860751482
verified: no
task: type: STS, dataset: config: es-it
name: MTEB STS22 (es-it)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 74.83418886368217
verified: no
task: type: STS, dataset: config: de-fr
name: MTEB STS22 (de-fr)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 56.01064022625769
verified: no
task: type: STS, dataset: config: de-pl
name: MTEB STS22 (de-pl)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 53.64332829635126
verified: no
task: type: STS, dataset: config: fr-pl
name: MTEB STS22 (fr-pl)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_spearman
value: 73.24670207647144
verified: no
task: type: STS, dataset: config: default
name: MTEB STSB
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
split: test
type: C-MTEB/STSB
metrics: type: cos_sim_spearman
value: 80.7157790971544
verified: no
task: type: STS, dataset: config: default
name: MTEB STSBenchmark
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
split: test
type: mteb/stsbenchmark-sts
metrics: type: cos_sim_spearman
value: 86.45763616928973
verified: no
task: type: STS, dataset: config: fr
name: MTEB STSBenchmarkMultilingualSTS (fr)
revision: 93d57ef91790589e3ce9c365164337a8a78b7632
split: test
type: stsb_multi_mt
metrics: type: cos_sim_spearman
value: 84.4335500335282
verified: no
task: type: STS, dataset: config: default
name: MTEB SciDocsRR
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
split: test
type: mteb/scidocs-reranking
metrics: type: map
value: 84.15276484499303
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SciFact
revision: 0228b52cf27578f30900b9e5271d331663a030d7
split: test
type: mteb/scifact
metrics: type: ndcg_at_10
value: 73.433
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SciFact-PL
revision: 47932a35f045ef8ed01ba82bf9ff67f6e109207e
split: test
type: clarin-knext/scifact-pl
metrics: type: ndcg_at_10
value: 58.919999999999995
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SprintDuplicateQuestions
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
split: test
type: mteb/sprintduplicatequestions-pairclassification
metrics: type: cos_sim_ap
value: 95.40564890916419
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB StackExchangeClustering
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
split: test
type: mteb/stackexchange-clustering
metrics: type: v_measure
value: 63.41856697730145
verified: no
task: type: Clustering, dataset: config: default
name: MTEB StackExchangeClusteringP2P
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
split: test
type: mteb/stackexchange-clustering-p2p
metrics: type: v_measure
value: 31.709285904909112
verified: no
task: type: Clustering, dataset: config: default
name: MTEB StackOverflowDupQuestions
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
split: test
type: mteb/stackoverflowdupquestions-reranking
metrics: type: map
value: 52.09341030060322
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SummEval
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
split: test
type: mteb/summeval
metrics: type: cos_sim_spearman
value: 30.58262517835034
verified: no
task: type: Summarization, dataset: config: default
name: MTEB SummEvalFr
revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
split: test
type: lyon-nlp/summarization-summeval-fr-p2p
metrics: type: cos_sim_spearman
value: 29.744542072951358
verified: no
task: type: Summarization, dataset: config: default
name: MTEB SyntecReranking
revision: b205c5084a0934ce8af14338bf03feb19499c84d
split: test
type: lyon-nlp/mteb-fr-reranking-syntec-s2p
metrics: type: map
value: 88.03333333333333
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SyntecRetrieval
revision: 77f7e271bf4a92b24fce5119f3486b583ca016ff
split: test
type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
metrics: type: ndcg_at_10
value: 83.043
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB T2Reranking
revision: 76631901a18387f85eaa53e5450019b87ad58ef9
split: dev
type: C-MTEB/T2Reranking
metrics: type: map
value: 67.08577894804324
verified: no
task: type: Reranking, dataset: config: default
name: MTEB T2Retrieval
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
split: dev
type: C-MTEB/T2Retrieval
metrics: type: ndcg_at_10
value: 84.718
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB TNews
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
split: validation
type: C-MTEB/TNews-classification
metrics: type: accuracy
value: 48.726
verified: no
task: type: Classification, dataset: config: default
name: MTEB TRECCOVID
revision: None
split: test
type: mteb/trec-covid
metrics: type: ndcg_at_10
value: 57.56
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB TRECCOVID-PL
revision: 81bcb408f33366c2a20ac54adafad1ae7e877fdd
split: test
type: clarin-knext/trec-covid-pl
metrics: type: ndcg_at_10
value: 59.355999999999995
verified: no
task: type: Retrieval, dataset: config: sqi-eng
name: MTEB Tatoeba (sqi-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 82.765
verified: no
task: type: BitextMining, dataset: config: fry-eng
name: MTEB Tatoeba (fry-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 73.69942196531792
verified: no
task: type: BitextMining, dataset: config: kur-eng
name: MTEB Tatoeba (kur-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 32.86585365853657
verified: no
task: type: BitextMining, dataset: config: tur-eng
name: MTEB Tatoeba (tur-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 95.81666666666666
verified: no
task: type: BitextMining, dataset: config: deu-eng
name: MTEB Tatoeba (deu-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 97.75
verified: no
task: type: BitextMining, dataset: config: nld-eng
name: MTEB Tatoeba (nld-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 93.78333333333335
verified: no
task: type: BitextMining, dataset: config: ron-eng
name: MTEB Tatoeba (ron-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 90.72333333333333
verified: no
task: type: BitextMining, dataset: config: ang-eng
name: MTEB Tatoeba (ang-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 42.45202558635395
verified: no
task: type: BitextMining, dataset: config: ido-eng
name: MTEB Tatoeba (ido-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 77.59238095238095
verified: no
task: type: BitextMining, dataset: config: jav-eng
name: MTEB Tatoeba (jav-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 35.69686411149825
verified: no
task: type: BitextMining, dataset: config: isl-eng
name: MTEB Tatoeba (isl-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 82.59333333333333
verified: no
task: type: BitextMining, dataset: config: slv-eng
name: MTEB Tatoeba (slv-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 84.1456922987907
verified: no
task: type: BitextMining, dataset: config: cym-eng
name: MTEB Tatoeba (cym-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 52.47462133594857
verified: no
task: type: BitextMining, dataset: config: kaz-eng
name: MTEB Tatoeba (kaz-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 67.62965440356746
verified: no
task: type: BitextMining, dataset: config: est-eng
name: MTEB Tatoeba (est-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 79.48412698412699
verified: no
task: type: BitextMining, dataset: config: heb-eng
name: MTEB Tatoeba (heb-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 75.85
verified: no
task: type: BitextMining, dataset: config: gla-eng
name: MTEB Tatoeba (gla-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 27.32600866497127
verified: no
task: type: BitextMining, dataset: config: mar-eng
name: MTEB Tatoeba (mar-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 84.38
verified: no
task: type: BitextMining, dataset: config: lat-eng
name: MTEB Tatoeba (lat-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 42.98888712165028
verified: no
task: type: BitextMining, dataset: config: bel-eng
name: MTEB Tatoeba (bel-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 85.55690476190476
verified: no
task: type: BitextMining, dataset: config: pms-eng
name: MTEB Tatoeba (pms-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 46.68466031323174
verified: no
task: type: BitextMining, dataset: config: gle-eng
name: MTEB Tatoeba (gle-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 32.73071428571428
verified: no
task: type: BitextMining, dataset: config: pes-eng
name: MTEB Tatoeba (pes-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 88.26333333333334
verified: no
task: type: BitextMining, dataset: config: nob-eng
name: MTEB Tatoeba (nob-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 96.61666666666666
verified: no
task: type: BitextMining, dataset: config: bul-eng
name: MTEB Tatoeba (bul-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 91.30666666666666
verified: no
task: type: BitextMining, dataset: config: cbk-eng
name: MTEB Tatoeba (cbk-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 70.03714285714285
verified: no
task: type: BitextMining, dataset: config: hun-eng
name: MTEB Tatoeba (hun-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 89.09
verified: no
task: type: BitextMining, dataset: config: uig-eng
name: MTEB Tatoeba (uig-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 59.570476190476185
verified: no
task: type: BitextMining, dataset: config: rus-eng
name: MTEB Tatoeba (rus-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 92.9
verified: no
task: type: BitextMining, dataset: config: spa-eng
name: MTEB Tatoeba (spa-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 97.68333333333334
verified: no
task: type: BitextMining, dataset: config: hye-eng
name: MTEB Tatoeba (hye-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
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metrics: type: f1
value: 83.90333333333334
verified: no
task: type: BitextMining, dataset: config: ara-eng
name: MTEB Tatoeba (ara-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 77.80666666666666
verified: no
task: type: BitextMining, dataset: config: kor-eng
name: MTEB Tatoeba (kor-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 84.08
verified: no
task: type: BitextMining, dataset: config: yid-eng
name: MTEB Tatoeba (yid-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 60.43098607367475
verified: no
task: type: BitextMining, dataset: config: fin-eng
name: MTEB Tatoeba (fin-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 88.19333333333333
verified: no
task: type: BitextMining, dataset: config: tha-eng
name: MTEB Tatoeba (tha-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 90.55352798053529
verified: no
task: type: BitextMining, dataset: config: wuu-eng
name: MTEB Tatoeba (wuu-eng)
revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553
split: test
type: mteb/tatoeba-bitext-mining
metrics: type: f1
value: 88.44999999999999
verified: no
task: type: BitextMining, dataset: config: default
name: MTEB ThuNewsClusteringP2P
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
split: test
type: C-MTEB/ThuNewsClusteringP2P
metrics: type: v_measure
value: 57.25416429643288
verified: no
task: type: Clustering, dataset: config: default
name: MTEB ThuNewsClusteringS2S
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
split: test
type: C-MTEB/ThuNewsClusteringS2S
metrics: type: v_measure
value: 56.616646560243524
verified: no
task: type: Clustering, dataset: config: default
name: MTEB Touche2020
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
split: test
type: mteb/touche2020
metrics: type: ndcg_at_10
value: 22.819
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ToxicConversationsClassification
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
split: test
type: mteb/toxic_conversations_50k
metrics: type: accuracy
value: 71.02579999999999
verified: no
task: type: Classification, dataset: config: default
name: MTEB TweetSentimentExtractionClassification
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
split: test
type: mteb/tweet_sentiment_extraction
metrics: type: accuracy
value: 57.60045274476514
verified: no
task: type: Classification, dataset: config: default
name: MTEB TwentyNewsgroupsClustering
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
split: test
type: mteb/twentynewsgroups-clustering
metrics: type: v_measure
value: 50.346666699466205
verified: no
task: type: Clustering, dataset: config: default
name: MTEB TwitterSemEval2015
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
split: test
type: mteb/twittersemeval2015-pairclassification
metrics: type: cos_sim_ap
value: 71.88199004440489
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB TwitterURLCorpus
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
split: test
type: mteb/twitterurlcorpus-pairclassification
metrics: type: cos_sim_ap
value: 85.41587779677383
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB VideoRetrieval
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
split: dev
type: C-MTEB/VideoRetrieval
metrics: type: ndcg_at_10
value: 72.792
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB Waimai
revision: 339287def212450dcaa9df8c22bf93e9980c7023
split: test
type: C-MTEB/waimai-classification
metrics: type: accuracy
value: 82.58000000000001
verified: no
task: type: Classification, dataset: config: fr
name: MTEB XPQARetrieval (fr)
revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
split: test
type: jinaai/xpqa
metrics: type: ndcg_at_10
value: 67.327
verified: no
task: type: Retrieval
tags: mteb, multilingual, sentence-similarity, onnx, teradata
Likes: 3 | All-time downloads: 208
Created: 2025-02-12 16:57:01