diff --git "a/README.md" "b/README.md" --- "a/README.md" +++ "b/README.md" @@ -1,20 +1,109 @@ --- -tags: -- mteb -- Sentence Transformers -- sentence-similarity -- sentence-transformers +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 model-index: -- name: multilingual-e5-small +- name: intfloat/multilingual-e5-small results: - - task: - type: Classification - dataset: - type: mteb/amazon_counterfactual - name: MTEB AmazonCounterfactualClassification (en) + - dataset: config: en - split: test + name: MTEB AmazonCounterfactualClassification (en) revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + split: test + type: mteb/amazon_counterfactual metrics: - type: accuracy value: 73.79104477611939 @@ -22,14 +111,14 @@ model-index: value: 36.9996434842022 - type: f1 value: 67.95453679103099 - - task: + task: type: Classification - dataset: - type: mteb/amazon_counterfactual - name: MTEB AmazonCounterfactualClassification (de) + - dataset: config: de - split: test + name: MTEB AmazonCounterfactualClassification (de) revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + split: test + type: mteb/amazon_counterfactual metrics: - type: accuracy value: 71.64882226980728 @@ -37,14 +126,14 @@ model-index: value: 82.11942130026586 - type: f1 value: 69.87963421606715 - - task: + task: type: Classification - dataset: - type: mteb/amazon_counterfactual - name: MTEB AmazonCounterfactualClassification (en-ext) + - dataset: config: en-ext - split: test + name: MTEB AmazonCounterfactualClassification (en-ext) revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + split: test + type: mteb/amazon_counterfactual metrics: - type: accuracy value: 75.8095952023988 @@ -52,14 +141,14 @@ model-index: value: 24.46869495579561 - type: f1 value: 63.00108480037597 - - task: + task: type: Classification - dataset: - type: mteb/amazon_counterfactual - name: MTEB AmazonCounterfactualClassification (ja) + - dataset: config: ja - split: test + name: MTEB AmazonCounterfactualClassification (ja) revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + split: test + type: mteb/amazon_counterfactual metrics: - type: accuracy value: 64.186295503212 @@ -67,14 +156,14 @@ model-index: value: 15.496804690197042 - type: f1 value: 52.07153895475031 - - task: + task: type: Classification - dataset: - type: mteb/amazon_polarity - name: MTEB AmazonPolarityClassification + - dataset: config: default - split: test + name: MTEB AmazonPolarityClassification revision: e2d317d38cd51312af73b3d32a06d1a08b442046 + split: test + type: mteb/amazon_polarity metrics: - type: accuracy value: 88.699325 @@ -82,92 +171,92 @@ model-index: value: 85.27039559917269 - type: f1 value: 88.65556295032513 - - task: + task: type: Classification - dataset: - type: mteb/amazon_reviews_multi - name: MTEB AmazonReviewsClassification (en) + - dataset: config: en - split: test + name: MTEB AmazonReviewsClassification (en) revision: 1399c76144fd37290681b995c656ef9b2e06e26d + split: test + type: mteb/amazon_reviews_multi metrics: - type: accuracy value: 44.69799999999999 - type: f1 value: 43.73187348654165 - - task: + task: type: Classification - dataset: - type: mteb/amazon_reviews_multi - name: MTEB AmazonReviewsClassification (de) + - dataset: config: de - split: test + name: MTEB AmazonReviewsClassification (de) revision: 1399c76144fd37290681b995c656ef9b2e06e26d + split: test + type: mteb/amazon_reviews_multi metrics: - type: accuracy value: 40.245999999999995 - type: f1 value: 39.3863530637684 - - task: + task: type: Classification - dataset: - type: mteb/amazon_reviews_multi - name: MTEB AmazonReviewsClassification (es) + - dataset: config: es - split: test + name: MTEB AmazonReviewsClassification (es) revision: 1399c76144fd37290681b995c656ef9b2e06e26d + split: test + type: mteb/amazon_reviews_multi metrics: - type: accuracy value: 40.394 - type: f1 value: 39.301223469483446 - - task: + task: type: Classification - dataset: - type: mteb/amazon_reviews_multi - name: MTEB AmazonReviewsClassification (fr) + - dataset: config: fr - split: test + name: MTEB AmazonReviewsClassification (fr) revision: 1399c76144fd37290681b995c656ef9b2e06e26d + split: test + type: mteb/amazon_reviews_multi metrics: - type: accuracy value: 38.864 - type: f1 value: 37.97974261868003 - - task: + task: type: Classification - dataset: - type: mteb/amazon_reviews_multi - name: MTEB AmazonReviewsClassification (ja) + - dataset: config: ja - split: test + name: MTEB AmazonReviewsClassification (ja) revision: 1399c76144fd37290681b995c656ef9b2e06e26d + split: test + type: mteb/amazon_reviews_multi metrics: - type: accuracy value: 37.682 - type: f1 value: 37.07399369768313 - - task: + task: type: Classification - dataset: - type: mteb/amazon_reviews_multi - name: MTEB AmazonReviewsClassification (zh) + - dataset: config: zh - split: test + name: MTEB AmazonReviewsClassification (zh) revision: 1399c76144fd37290681b995c656ef9b2e06e26d + split: test + type: mteb/amazon_reviews_multi metrics: - type: accuracy value: 37.504 - type: f1 value: 36.62317273874278 - - task: - type: Retrieval - dataset: - type: arguana - name: MTEB ArguAna + task: + type: Classification + - dataset: config: default - split: test + name: MTEB ArguAna revision: None + split: test + type: arguana metrics: - type: map_at_1 value: 19.061 @@ -229,49 +318,49 @@ model-index: value: 38.122 - type: recall_at_5 value: 47.155 - - task: - type: Clustering - dataset: - type: mteb/arxiv-clustering-p2p - name: MTEB ArxivClusteringP2P + task: + type: Retrieval + - dataset: config: default - split: test + name: MTEB ArxivClusteringP2P revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d + split: test + type: mteb/arxiv-clustering-p2p metrics: - type: v_measure value: 39.22266660528253 - - task: + task: type: Clustering - dataset: - type: mteb/arxiv-clustering-s2s - name: MTEB ArxivClusteringS2S + - dataset: config: default - split: test + name: MTEB ArxivClusteringS2S revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 + split: test + type: mteb/arxiv-clustering-s2s metrics: - type: v_measure value: 30.79980849482483 - - task: - type: Reranking - dataset: - type: mteb/askubuntudupquestions-reranking - name: MTEB AskUbuntuDupQuestions + task: + type: Clustering + - dataset: config: default - split: test + name: MTEB AskUbuntuDupQuestions revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 + split: test + type: mteb/askubuntudupquestions-reranking metrics: - type: map value: 57.8790068352054 - type: mrr value: 71.78791276436706 - - task: - type: STS - dataset: - type: mteb/biosses-sts - name: MTEB BIOSSES + task: + type: Reranking + - dataset: config: default - split: test + name: MTEB BIOSSES revision: d3fb88f8f02e40887cd149695127462bbcf29b4a + split: test + type: mteb/biosses-sts metrics: - type: cos_sim_pearson value: 82.36328364043163 @@ -285,14 +374,14 @@ model-index: value: 80.14484480692127 - type: manhattan_spearman value: 80.39279565980743 - - task: - type: BitextMining - dataset: - type: mteb/bucc-bitext-mining - name: MTEB BUCC (de-en) + task: + type: STS + - dataset: config: de-en - split: test + name: MTEB BUCC (de-en) revision: d51519689f32196a32af33b075a01d0e7c51e252 + split: test + type: mteb/bucc-bitext-mining metrics: - type: accuracy value: 98.0375782881002 @@ -302,14 +391,14 @@ model-index: value: 97.77139874739039 - type: recall value: 98.0375782881002 - - task: + task: type: BitextMining - dataset: - type: mteb/bucc-bitext-mining - name: MTEB BUCC (fr-en) + - dataset: config: fr-en - split: test + name: MTEB BUCC (fr-en) revision: d51519689f32196a32af33b075a01d0e7c51e252 + split: test + type: mteb/bucc-bitext-mining metrics: - type: accuracy value: 93.35241030156286 @@ -319,14 +408,14 @@ model-index: value: 92.3306919069631 - type: recall value: 93.35241030156286 - - task: + task: type: BitextMining - dataset: - type: mteb/bucc-bitext-mining - name: MTEB BUCC (ru-en) + - dataset: config: ru-en - split: test + name: MTEB BUCC (ru-en) revision: d51519689f32196a32af33b075a01d0e7c51e252 + split: test + type: mteb/bucc-bitext-mining metrics: - type: accuracy value: 94.0699688257707 @@ -336,14 +425,14 @@ model-index: value: 93.22791825424315 - type: recall value: 94.0699688257707 - - task: + task: type: BitextMining - dataset: - type: mteb/bucc-bitext-mining - name: MTEB BUCC (zh-en) + - dataset: config: zh-en - split: test + name: MTEB BUCC (zh-en) revision: d51519689f32196a32af33b075a01d0e7c51e252 + split: test + type: mteb/bucc-bitext-mining metrics: - type: accuracy value: 89.25750394944708 @@ -353,49 +442,49 @@ model-index: value: 88.57293312269616 - type: recall value: 89.25750394944708 - - task: - type: Classification - dataset: - type: mteb/banking77 - name: MTEB Banking77Classification + task: + type: BitextMining + - dataset: config: default - split: test + name: MTEB Banking77Classification revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 + split: test + type: mteb/banking77 metrics: - type: accuracy value: 79.41558441558442 - type: f1 value: 79.25886487487219 - - task: - type: Clustering - dataset: - type: mteb/biorxiv-clustering-p2p - name: MTEB BiorxivClusteringP2P + task: + type: Classification + - dataset: config: default - split: test + name: MTEB BiorxivClusteringP2P revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 + split: test + type: mteb/biorxiv-clustering-p2p metrics: - type: v_measure value: 35.747820820329736 - - task: + task: type: Clustering - dataset: - type: mteb/biorxiv-clustering-s2s - name: MTEB BiorxivClusteringS2S + - dataset: config: default - split: test + name: MTEB BiorxivClusteringS2S revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 + split: test + type: mteb/biorxiv-clustering-s2s metrics: - type: v_measure value: 27.045143830596146 - - task: - type: Retrieval - dataset: - type: BeIR/cqadupstack - name: MTEB CQADupstackRetrieval + task: + type: Clustering + - dataset: config: default - split: test + name: MTEB CQADupstackRetrieval revision: None + split: test + type: BeIR/cqadupstack metrics: - type: map_at_1 value: 24.252999999999997 @@ -457,14 +546,14 @@ model-index: value: 34.71941666666666 - type: recall_at_5 value: 39.46358333333333 - - task: + task: type: Retrieval - dataset: - type: climate-fever - name: MTEB ClimateFEVER + - dataset: config: default - split: test + name: MTEB ClimateFEVER revision: None + split: test + type: climate-fever metrics: - type: map_at_1 value: 9.024000000000001 @@ -526,14 +615,14 @@ model-index: value: 16.768 - type: recall_at_5 value: 20.737 - - task: + task: type: Retrieval - dataset: - type: dbpedia-entity - name: MTEB DBPedia + - dataset: config: default - split: test + name: MTEB DBPedia revision: None + split: test + type: dbpedia-entity metrics: - type: map_at_1 value: 8.012 @@ -595,27 +684,27 @@ model-index: value: 14.043 - type: recall_at_5 value: 17.124 - - task: - type: Classification - dataset: - type: mteb/emotion - name: MTEB EmotionClassification + task: + type: Retrieval + - dataset: config: default - split: test + name: MTEB EmotionClassification revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 + split: test + type: mteb/emotion metrics: - type: accuracy value: 42.455 - type: f1 value: 37.59462649781862 - - task: - type: Retrieval - dataset: - type: fever - name: MTEB FEVER + task: + type: Classification + - dataset: config: default - split: test + name: MTEB FEVER revision: None + split: test + type: fever metrics: - type: map_at_1 value: 58.092 @@ -677,14 +766,14 @@ model-index: value: 78.45 - type: recall_at_5 value: 84.316 - - task: + task: type: Retrieval - dataset: - type: fiqa - name: MTEB FiQA2018 + - dataset: config: default - split: test + name: MTEB FiQA2018 revision: None + split: test + type: fiqa metrics: - type: map_at_1 value: 16.649 @@ -746,14 +835,14 @@ model-index: value: 27.914 - type: recall_at_5 value: 33.289 - - task: + task: type: Retrieval - dataset: - type: hotpotqa - name: MTEB HotpotQA + - dataset: config: default - split: test + name: MTEB HotpotQA revision: None + split: test + type: hotpotqa metrics: - type: map_at_1 value: 36.253 @@ -815,14 +904,14 @@ model-index: value: 57.535000000000004 - type: recall_at_5 value: 63.282000000000004 - - task: - type: Classification - dataset: - type: mteb/imdb - name: MTEB ImdbClassification + task: + type: Retrieval + - dataset: config: default - split: test + name: MTEB ImdbClassification revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 + split: test + type: mteb/imdb metrics: - type: accuracy value: 80.82239999999999 @@ -830,14 +919,14 @@ model-index: value: 75.65895781725314 - type: f1 value: 80.75880969095746 - - task: - type: Retrieval - dataset: - type: msmarco - name: MTEB MSMARCO + task: + type: Classification + - dataset: config: default - split: dev + name: MTEB MSMARCO revision: None + split: dev + type: msmarco metrics: - type: map_at_1 value: 21.624 @@ -899,1531 +988,1539 @@ model-index: value: 41.099999999999994 - type: recall_at_5 value: 50.381 - - task: - type: Classification - dataset: - type: mteb/mtop_domain - name: MTEB MTOPDomainClassification (en) + task: + type: Retrieval + - dataset: config: en - split: test + name: MTEB MTOPDomainClassification (en) revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + split: test + type: mteb/mtop_domain metrics: - type: accuracy value: 91.06703146374831 - type: f1 value: 90.86867815863172 - - task: + task: type: Classification - dataset: - type: mteb/mtop_domain - name: MTEB MTOPDomainClassification (de) + - dataset: config: de - split: test + name: MTEB MTOPDomainClassification (de) revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + split: test + type: mteb/mtop_domain metrics: - type: accuracy value: 87.46970977740209 - type: f1 value: 86.36832872036588 - - task: + task: type: Classification - dataset: - type: mteb/mtop_domain - name: MTEB MTOPDomainClassification (es) + - dataset: config: es - split: test + name: MTEB MTOPDomainClassification (es) revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + split: test + type: mteb/mtop_domain metrics: - type: accuracy value: 89.26951300867245 - type: f1 value: 88.93561193959502 - - task: + task: type: Classification - dataset: - type: mteb/mtop_domain - name: MTEB MTOPDomainClassification (fr) + - dataset: config: fr - split: test + name: MTEB MTOPDomainClassification (fr) revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + split: test + type: mteb/mtop_domain metrics: - type: accuracy value: 84.22799874725963 - type: f1 value: 84.30490069236556 - - task: + task: type: Classification - dataset: - type: mteb/mtop_domain - name: MTEB MTOPDomainClassification (hi) + - dataset: config: hi - split: test + name: MTEB MTOPDomainClassification (hi) revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + split: test + type: mteb/mtop_domain metrics: - type: accuracy value: 86.02007888131948 - type: f1 value: 85.39376041027991 - - task: + task: type: Classification - dataset: - type: mteb/mtop_domain - name: MTEB MTOPDomainClassification (th) + - dataset: config: th - split: test + name: MTEB MTOPDomainClassification (th) revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + split: test + type: mteb/mtop_domain metrics: - type: accuracy value: 85.34900542495481 - type: f1 value: 85.39859673336713 - - task: + task: type: Classification - dataset: - type: mteb/mtop_intent - name: MTEB MTOPIntentClassification (en) + - dataset: config: en - split: test + name: MTEB MTOPIntentClassification (en) revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + split: test + type: mteb/mtop_intent metrics: - type: accuracy value: 71.078431372549 - type: f1 value: 53.45071102002276 - - task: + task: type: Classification - dataset: - type: mteb/mtop_intent - name: MTEB MTOPIntentClassification (de) + - dataset: config: de - split: test + name: MTEB MTOPIntentClassification (de) revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + split: test + type: mteb/mtop_intent metrics: - type: accuracy value: 65.85798816568047 - type: f1 value: 46.53112748993529 - - task: + task: type: Classification - dataset: - type: mteb/mtop_intent - name: MTEB MTOPIntentClassification (es) + - dataset: config: es - split: test + name: MTEB MTOPIntentClassification (es) revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + split: test + type: mteb/mtop_intent metrics: - type: accuracy value: 67.96864576384256 - type: f1 value: 45.966703022829506 - - task: + task: type: Classification - dataset: - type: mteb/mtop_intent - name: MTEB MTOPIntentClassification (fr) + - dataset: config: fr - split: test + name: MTEB MTOPIntentClassification (fr) revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + split: test + type: mteb/mtop_intent metrics: - type: accuracy value: 61.31537738803633 - type: f1 value: 45.52601712835461 - - task: + task: type: Classification - dataset: - type: mteb/mtop_intent - name: MTEB MTOPIntentClassification (hi) + - dataset: config: hi - split: test + name: MTEB MTOPIntentClassification (hi) revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + split: test + type: mteb/mtop_intent metrics: - type: accuracy value: 66.29616349946218 - type: f1 value: 47.24166485726613 - - task: + task: type: Classification - dataset: - type: mteb/mtop_intent - name: MTEB MTOPIntentClassification (th) + - dataset: config: th - split: test + name: MTEB MTOPIntentClassification (th) revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + split: test + type: mteb/mtop_intent metrics: - type: accuracy value: 67.51537070524412 - type: f1 value: 49.463476319014276 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_intent - name: MTEB MassiveIntentClassification (af) + - dataset: config: af - split: test + name: MTEB MassiveIntentClassification (af) revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 + split: test + type: mteb/amazon_massive_intent metrics: - type: accuracy value: 57.06792199058508 - type: f1 value: 54.094921857502285 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_intent - name: MTEB MassiveIntentClassification (am) + - dataset: config: am - split: test + name: MTEB MassiveIntentClassification (am) revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 + split: test + type: mteb/amazon_massive_intent metrics: - type: accuracy value: 51.960322797579025 - type: f1 value: 48.547371223370945 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_intent - name: MTEB MassiveIntentClassification (ar) + - dataset: config: ar - split: test + name: MTEB MassiveIntentClassification (ar) revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 + split: test + type: mteb/amazon_massive_intent metrics: - type: accuracy value: 54.425016812373904 - type: f1 value: 50.47069202054312 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_intent - name: MTEB MassiveIntentClassification (az) + - dataset: config: az - split: test + name: MTEB MassiveIntentClassification (az) revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 + split: test + type: mteb/amazon_massive_intent metrics: - type: accuracy value: 59.798251513113655 - type: f1 value: 57.05013069086648 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_intent - name: MTEB MassiveIntentClassification (bn) + - dataset: config: bn - split: test + name: MTEB MassiveIntentClassification (bn) revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 + split: test + type: mteb/amazon_massive_intent metrics: - type: accuracy value: 59.37794216543376 - type: f1 value: 56.3607992649805 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_intent - name: MTEB MassiveIntentClassification (cy) + - dataset: config: cy - split: test + name: MTEB MassiveIntentClassification (cy) revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 + split: test + type: mteb/amazon_massive_intent metrics: - type: accuracy value: 46.56018829858777 - 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type: accuracy value: 61.5971755211836 - type: f1 value: 59.169445724946726 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_intent - name: MTEB MassiveIntentClassification (en) + - dataset: config: en - split: test + name: MTEB MassiveIntentClassification (en) revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 + split: test + type: mteb/amazon_massive_intent metrics: - type: accuracy value: 70.29589778076665 - type: f1 value: 67.7577001808977 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_intent - name: MTEB MassiveIntentClassification (es) + - dataset: config: es - split: test + name: MTEB MassiveIntentClassification (es) revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 + split: test + type: mteb/amazon_massive_intent metrics: - type: accuracy value: 66.31136516476126 - type: f1 value: 64.52032955983242 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_intent - name: MTEB MassiveIntentClassification (fa) + - 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type: accuracy value: 68.05312710154674 - type: f1 value: 67.44024062594775 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_scenario - name: MTEB MassiveScenarioClassification (ur) + - dataset: config: ur - split: test + name: MTEB MassiveScenarioClassification (ur) revision: 7d571f92784cd94a019292a1f45445077d0ef634 + split: test + type: mteb/amazon_massive_scenario metrics: - type: accuracy value: 62.111634162743776 - type: f1 value: 60.89083013084519 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_scenario - name: MTEB MassiveScenarioClassification (vi) + - dataset: config: vi - split: test + name: MTEB MassiveScenarioClassification (vi) revision: 7d571f92784cd94a019292a1f45445077d0ef634 + split: test + type: mteb/amazon_massive_scenario metrics: - type: accuracy value: 67.44115669132482 - type: f1 value: 67.92227541674552 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_scenario - name: MTEB MassiveScenarioClassification (zh-CN) + - dataset: config: zh-CN - split: test + name: MTEB MassiveScenarioClassification (zh-CN) revision: 7d571f92784cd94a019292a1f45445077d0ef634 + split: test + type: mteb/amazon_massive_scenario metrics: - type: accuracy value: 74.4687289845326 - type: f1 value: 74.16376793486025 - - task: + task: type: Classification - dataset: - type: mteb/amazon_massive_scenario - name: MTEB MassiveScenarioClassification (zh-TW) + - dataset: config: zh-TW - split: test + name: MTEB MassiveScenarioClassification (zh-TW) revision: 7d571f92784cd94a019292a1f45445077d0ef634 + split: test + type: mteb/amazon_massive_scenario metrics: - type: accuracy value: 68.31876260928043 - type: f1 value: 68.5246745215607 - - task: - type: Clustering - dataset: - type: mteb/medrxiv-clustering-p2p - name: MTEB MedrxivClusteringP2P + task: + type: Classification + - dataset: config: default - split: test + name: MTEB MedrxivClusteringP2P revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 + split: test + type: mteb/medrxiv-clustering-p2p metrics: - type: v_measure value: 30.90431696479766 - - task: + task: type: Clustering - dataset: - type: mteb/medrxiv-clustering-s2s - name: MTEB MedrxivClusteringS2S + - dataset: config: default - split: test + name: MTEB MedrxivClusteringS2S revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 + split: test + type: mteb/medrxiv-clustering-s2s metrics: - type: v_measure value: 27.259158476693774 - - task: - type: Reranking - dataset: - type: mteb/mind_small - name: MTEB MindSmallReranking + task: + type: Clustering + - dataset: config: default - split: test + name: MTEB MindSmallReranking revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 + split: test + type: mteb/mind_small metrics: - type: map value: 30.28445330838555 - type: mrr value: 31.15758529581164 - - task: - type: Retrieval - dataset: - type: nfcorpus - name: MTEB NFCorpus + task: + type: Reranking + - dataset: config: default - split: test + name: MTEB NFCorpus revision: None + split: test + type: nfcorpus metrics: - type: map_at_1 value: 5.353 @@ -2485,14 +2582,14 @@ model-index: value: 9.792 - type: recall_at_5 value: 11.882 - - task: + task: type: Retrieval - dataset: - type: nq - name: MTEB NQ + - dataset: config: default - split: test + name: MTEB NQ revision: None + split: test + type: nq metrics: - type: map_at_1 value: 33.852 @@ -2554,14 +2651,14 @@ model-index: value: 56.969 - type: recall_at_5 value: 66.283 - - task: + task: type: Retrieval - dataset: - type: quora - name: MTEB QuoraRetrieval + - dataset: config: default - split: test + name: MTEB QuoraRetrieval revision: None + split: test + type: quora metrics: - type: map_at_1 value: 69.174 @@ -2623,36 +2720,36 @@ model-index: value: 85.86200000000001 - type: recall_at_5 value: 90.501 - - task: - type: Clustering - dataset: - type: mteb/reddit-clustering - name: MTEB RedditClustering + task: + type: Retrieval + - dataset: config: default - split: test + name: MTEB RedditClustering revision: 24640382cdbf8abc73003fb0fa6d111a705499eb + split: test + type: mteb/reddit-clustering metrics: - type: v_measure value: 39.13064340585255 - - task: + task: type: Clustering - dataset: - type: mteb/reddit-clustering-p2p - name: MTEB RedditClusteringP2P + - dataset: config: default - split: test + name: MTEB RedditClusteringP2P revision: 282350215ef01743dc01b456c7f5241fa8937f16 + split: test + type: mteb/reddit-clustering-p2p metrics: - type: v_measure value: 58.97884249325877 - - task: - type: Retrieval - dataset: - type: scidocs - name: MTEB SCIDOCS + task: + type: Clustering + - dataset: config: default - split: test + name: MTEB SCIDOCS revision: None + split: test + type: scidocs metrics: - type: map_at_1 value: 3.4680000000000004 @@ -2714,14 +2811,14 @@ model-index: value: 7.483 - type: recall_at_5 value: 10.173 - - task: - type: STS - dataset: - type: mteb/sickr-sts - name: MTEB SICK-R + task: + type: Retrieval + - dataset: config: default - split: test + name: MTEB SICK-R revision: a6ea5a8cab320b040a23452cc28066d9beae2cee + split: test + type: mteb/sickr-sts metrics: - type: cos_sim_pearson value: 83.04084311714061 @@ -2735,14 +2832,14 @@ model-index: value: 80.03105964262431 - type: manhattan_spearman value: 77.22373689514794 - - task: + task: type: STS - dataset: - type: mteb/sts12-sts - name: MTEB STS12 + - dataset: config: default - split: test + name: MTEB STS12 revision: a0d554a64d88156834ff5ae9920b964011b16384 + split: test + type: mteb/sts12-sts metrics: - type: cos_sim_pearson value: 84.1680158034387 @@ -2756,14 +2853,14 @@ model-index: value: 79.75959151517357 - type: manhattan_spearman value: 75.42330344141912 - - task: + task: type: STS - dataset: - type: mteb/sts13-sts - name: MTEB STS13 + - dataset: config: default - split: test + name: MTEB STS13 revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca + split: test + type: mteb/sts13-sts metrics: - type: cos_sim_pearson value: 76.48898993209346 @@ -2777,14 +2874,14 @@ model-index: value: 76.6944095091912 - type: manhattan_spearman value: 76.61096912972553 - - task: + task: type: STS - dataset: - type: mteb/sts14-sts - name: MTEB STS14 + - dataset: config: default - split: test + name: MTEB STS14 revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 + split: test + type: mteb/sts14-sts metrics: - type: cos_sim_pearson value: 77.85082366246944 @@ -2798,14 +2895,14 @@ model-index: value: 77.06193941833494 - type: manhattan_spearman value: 75.31003701700112 - - task: + task: type: STS - dataset: - type: mteb/sts15-sts - name: MTEB STS15 + - dataset: config: default - split: test + name: MTEB STS15 revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 + split: test + type: mteb/sts15-sts metrics: - type: cos_sim_pearson value: 86.36305246526497 @@ -2819,14 +2916,14 @@ model-index: value: 86.0805106816633 - type: manhattan_spearman value: 86.52798366512229 - - task: + task: type: STS - dataset: - type: mteb/sts16-sts - name: MTEB STS16 + - dataset: config: default - split: test + name: MTEB STS16 revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 + split: test + type: mteb/sts16-sts metrics: - type: cos_sim_pearson value: 82.18536255599724 @@ -2840,14 +2937,14 @@ model-index: value: 83.11941806582371 - type: manhattan_spearman value: 83.84251281019304 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (ko-ko) + - dataset: config: ko-ko - split: test + name: MTEB STS17 (ko-ko) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 78.95816528475514 @@ -2861,14 +2958,14 @@ model-index: value: 78.32367302808157 - type: manhattan_spearman value: 78.90277699624637 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (ar-ar) + - dataset: config: ar-ar - split: test + name: MTEB STS17 (ar-ar) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 72.89126914997624 @@ -2882,14 +2979,14 @@ model-index: value: 71.47421463379519 - type: manhattan_spearman value: 73.03383242946575 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (en-ar) + - dataset: config: en-ar - split: test + name: MTEB STS17 (en-ar) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 59.22923684492637 @@ -2903,14 +3000,14 @@ model-index: value: 59.60157142786555 - type: manhattan_spearman value: 59.14069604103739 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (en-de) + - dataset: config: en-de - split: test + name: MTEB STS17 (en-de) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 76.24345978774299 @@ -2924,14 +3021,14 @@ model-index: value: 76.05303324760429 - type: manhattan_spearman value: 76.96353149912348 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (en-en) + - dataset: config: en-en - split: test + name: MTEB STS17 (en-en) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 85.50879160160852 @@ -2945,14 +3042,14 @@ model-index: value: 86.10916255616904 - type: manhattan_spearman value: 86.07346068198953 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (en-tr) + - dataset: config: en-tr - split: test + name: MTEB STS17 (en-tr) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 58.39803698977196 @@ -2966,14 +3063,14 @@ model-index: value: 57.333358138183286 - type: manhattan_spearman value: 54.04614023149965 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (es-en) + - dataset: config: es-en - split: test + name: MTEB STS17 (es-en) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 70.98304089637197 @@ -2987,14 +3084,14 @@ model-index: value: 71.21098311547406 - type: manhattan_spearman value: 72.93405764824821 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (es-es) + - dataset: config: es-es - split: test + name: MTEB STS17 (es-es) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 85.99792397466308 @@ -3008,14 +3105,14 @@ model-index: value: 85.89570850150801 - type: manhattan_spearman value: 84.95806105313007 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (fr-en) + - dataset: config: fr-en - split: test + name: MTEB STS17 (fr-en) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 72.21850322994712 @@ -3029,14 +3126,14 @@ model-index: value: 71.8659633964841 - type: manhattan_spearman value: 71.57817425823303 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (it-en) + - dataset: config: it-en - split: test + name: MTEB STS17 (it-en) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 75.80921368595645 @@ -3050,14 +3147,14 @@ model-index: value: 76.13530186637601 - type: manhattan_spearman value: 78.00701437666875 - - task: + task: type: STS - dataset: - type: mteb/sts17-crosslingual-sts - name: MTEB STS17 (nl-en) + - dataset: config: nl-en - split: test + name: MTEB STS17 (nl-en) revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d + split: test + type: mteb/sts17-crosslingual-sts metrics: - type: cos_sim_pearson value: 74.74980608267349 @@ -3071,14 +3168,14 @@ model-index: value: 74.62642745918002 - type: manhattan_spearman value: 75.18619716592303 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (en) + - dataset: config: en - split: test + name: MTEB STS22 (en) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 59.632662289205584 @@ -3092,14 +3189,14 @@ model-index: value: 61.75494698945686 - type: manhattan_spearman value: 60.92726195322362 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (de) + - dataset: config: de - split: test + name: MTEB STS22 (de) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 45.283470551557244 @@ -3113,14 +3210,14 @@ model-index: value: 41.17482200420659 - type: manhattan_spearman value: 53.82180269276363 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (es) + - dataset: config: es - split: test + name: MTEB STS22 (es) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 60.5069165306236 @@ -3134,14 +3231,14 @@ model-index: value: 63.59789526178922 - type: manhattan_spearman value: 66.86555009875066 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (pl) + - dataset: config: pl - split: test + name: MTEB STS22 (pl) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 28.23026196280264 @@ -3155,14 +3252,14 @@ model-index: value: 17.77134274219677 - type: manhattan_spearman value: 35.98107902846267 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (tr) + - dataset: config: tr - split: test + name: MTEB STS22 (tr) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 56.51946541393812 @@ -3176,14 +3273,14 @@ model-index: value: 58.579416468759185 - type: manhattan_spearman value: 62.459738981727 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (ar) + - dataset: config: ar - split: test + name: MTEB STS22 (ar) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 48.76009839569795 @@ -3197,35 +3294,41 @@ model-index: value: 50.76220659606342 - type: manhattan_spearman value: 55.517347595391456 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (ru) + - dataset: config: ru - split: test + name: MTEB STS22 (ru) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - - type: cos_sim_pearson - value: 51.232731157702425 - - type: cos_sim_spearman - value: 59.89531877658345 + - type: cosine_pearson + value: 50.724322379215934 + - type: cosine_spearman + value: 59.90449732164651 - type: euclidean_pearson - value: 49.937914570348376 + value: 50.227545226784024 - type: euclidean_spearman - value: 60.220905659334036 + value: 59.898906527601085 + - type: main_score + value: 59.90449732164651 - type: manhattan_pearson - value: 50.00987996844193 + value: 50.21762139819405 - type: manhattan_spearman - value: 60.081341480977926 - - task: + value: 59.761039813759 + - type: pearson + value: 50.724322379215934 + - type: spearman + value: 59.90449732164651 + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (zh) + - dataset: config: zh - split: test + name: MTEB STS22 (zh) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 54.717524559088005 @@ -3239,14 +3342,14 @@ model-index: value: 58.78638572916807 - type: manhattan_spearman value: 66.58684161046335 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (fr) + - dataset: config: fr - split: test + name: MTEB STS22 (fr) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 73.2962042954962 @@ -3260,14 +3363,14 @@ model-index: value: 75.75565853870485 - type: manhattan_spearman value: 76.90208974949428 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (de-en) + - dataset: config: de-en - split: test + name: MTEB STS22 (de-en) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 54.47396266924846 @@ -3281,14 +3384,14 @@ model-index: value: 54.873172394430995 - type: manhattan_spearman value: 56.58111534551218 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (es-en) + - dataset: config: es-en - split: test + name: MTEB STS22 (es-en) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 69.87177267688686 @@ -3302,14 +3405,14 @@ model-index: value: 71.38245248369536 - type: manhattan_spearman value: 74.53102232732175 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (it) + - dataset: config: it - split: test + name: MTEB STS22 (it) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 72.80225656959544 @@ -3323,14 +3426,14 @@ model-index: value: 73.89679971946774 - type: manhattan_spearman value: 76.60886958161574 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (pl-en) + - dataset: config: pl-en - split: test + name: MTEB STS22 (pl-en) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 70.70844249898789 @@ -3344,14 +3447,14 @@ model-index: value: 71.29840508203515 - type: manhattan_spearman value: 71.86264441749513 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (zh-en) + - dataset: config: zh-en - split: test + name: MTEB STS22 (zh-en) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 58.647478923935694 @@ -3365,14 +3468,14 @@ model-index: value: 58.59735509491861 - type: manhattan_spearman value: 62.082503844627404 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (es-it) + - dataset: config: es-it - split: test + name: MTEB STS22 (es-it) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 65.8722516867162 @@ -3386,14 +3489,14 @@ model-index: value: 68.07884688638924 - type: manhattan_spearman value: 72.34210325803069 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (de-fr) + - dataset: config: de-fr - split: test + name: MTEB STS22 (de-fr) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 54.5405814240949 @@ -3407,14 +3510,14 @@ model-index: value: 53.623067729338494 - type: manhattan_spearman value: 58.018756154446926 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (de-pl) + - dataset: config: de-pl - split: test + name: MTEB STS22 (de-pl) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 13.611046866216112 @@ -3428,14 +3531,14 @@ model-index: value: 21.969771178698387 - type: manhattan_spearman value: 32.456985088607475 - - task: + task: type: STS - dataset: - type: mteb/sts22-crosslingual-sts - name: MTEB STS22 (fr-pl) + - dataset: config: fr-pl - split: test + name: MTEB STS22 (fr-pl) revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 + split: test + type: mteb/sts22-crosslingual-sts metrics: - type: cos_sim_pearson value: 74.58077407011655 @@ -3449,14 +3552,14 @@ model-index: value: 75.15335973101396 - type: manhattan_spearman value: 84.51542547285167 - - task: + task: type: STS - dataset: - type: mteb/stsbenchmark-sts - name: MTEB STSBenchmark + - dataset: config: default - split: test + name: MTEB STSBenchmark revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 + split: test + type: mteb/stsbenchmark-sts metrics: - type: cos_sim_pearson value: 82.0739825531578 @@ -3470,27 +3573,27 @@ model-index: value: 83.75323603028978 - type: manhattan_spearman value: 83.89677983727685 - - task: - type: Reranking - dataset: - type: mteb/scidocs-reranking - name: MTEB SciDocsRR + task: + type: STS + - dataset: config: default - split: test + name: MTEB SciDocsRR revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab + split: test + type: mteb/scidocs-reranking metrics: - type: map value: 78.12945623123957 - type: mrr value: 93.87738713719106 - - task: - type: Retrieval - dataset: - type: scifact - name: MTEB SciFact + task: + type: Reranking + - dataset: config: default - split: test + name: MTEB SciFact revision: None + split: test + type: scifact metrics: - type: map_at_1 value: 52.983000000000004 @@ -3552,14 +3655,14 @@ model-index: value: 67.744 - type: recall_at_5 value: 73.433 - - task: - type: PairClassification - dataset: - type: mteb/sprintduplicatequestions-pairclassification - name: MTEB SprintDuplicateQuestions + task: + type: Retrieval + - dataset: config: default - split: test + name: MTEB SprintDuplicateQuestions revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 + split: test + type: mteb/sprintduplicatequestions-pairclassification metrics: - type: cos_sim_accuracy value: 99.72772277227723 @@ -3607,49 +3710,49 @@ model-index: value: 92.17845897992215 - type: max_f1 value: 85.9746835443038 - - task: - type: Clustering - dataset: - type: mteb/stackexchange-clustering - name: MTEB StackExchangeClustering + task: + type: PairClassification + - dataset: config: default - split: test + name: MTEB StackExchangeClustering revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 + split: test + type: mteb/stackexchange-clustering metrics: - type: v_measure value: 53.52464042600003 - - task: + task: type: Clustering - dataset: - type: mteb/stackexchange-clustering-p2p - name: MTEB StackExchangeClusteringP2P + - dataset: config: default - split: test + name: MTEB StackExchangeClusteringP2P revision: 815ca46b2622cec33ccafc3735d572c266efdb44 + split: test + type: mteb/stackexchange-clustering-p2p metrics: - type: v_measure value: 32.071631948736 - - task: - type: Reranking - dataset: - type: mteb/stackoverflowdupquestions-reranking - name: MTEB StackOverflowDupQuestions + task: + type: Clustering + - dataset: config: default - split: test + name: MTEB StackOverflowDupQuestions revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 + split: test + type: mteb/stackoverflowdupquestions-reranking metrics: - type: map value: 49.19552407604654 - type: mrr value: 49.95269130379425 - - task: - type: Summarization - dataset: - type: mteb/summeval - name: MTEB SummEval + task: + type: Reranking + - dataset: config: default - split: test + name: MTEB SummEval revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c + split: test + type: mteb/summeval metrics: - type: cos_sim_pearson value: 29.345293033095427 @@ -3659,14 +3762,14 @@ model-index: value: 27.047078008958408 - type: dot_spearman value: 27.75894368380218 - - task: - type: Retrieval - dataset: - type: trec-covid - name: MTEB TRECCOVID + task: + type: Summarization + - dataset: config: default - split: test + name: MTEB TRECCOVID revision: None + split: test + type: trec-covid metrics: - type: map_at_1 value: 0.22 @@ -3728,14 +3831,14 @@ model-index: value: 0.634 - type: recall_at_5 value: 1.051 - - task: - type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (sqi-eng) + task: + type: Retrieval + - dataset: config: sqi-eng - split: test + name: MTEB Tatoeba (sqi-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 91.0 @@ -3745,14 +3848,14 @@ model-index: value: 87.46166666666667 - type: recall value: 91.0 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (fry-eng) + - dataset: config: fry-eng - split: test + name: MTEB Tatoeba (fry-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 57.22543352601156 @@ -3762,14 +3865,14 @@ model-index: value: 48.8150289017341 - type: recall value: 57.22543352601156 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (kur-eng) + - dataset: config: kur-eng - split: test + name: MTEB Tatoeba (kur-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 46.58536585365854 @@ -3779,14 +3882,14 @@ model-index: value: 37.416085946573745 - type: recall value: 46.58536585365854 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (tur-eng) + - dataset: config: tur-eng - split: test + name: MTEB Tatoeba (tur-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 89.7 @@ -3796,14 +3899,14 @@ model-index: value: 85.45333333333332 - type: recall value: 89.7 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (deu-eng) + - dataset: config: deu-eng - split: test + name: MTEB Tatoeba (deu-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 97.39999999999999 @@ -3813,14 +3916,14 @@ model-index: value: 96.2 - type: recall value: 97.39999999999999 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (nld-eng) + - dataset: config: nld-eng - split: test + name: MTEB Tatoeba (nld-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 92.4 @@ -3830,14 +3933,14 @@ model-index: value: 89.31666666666668 - type: recall value: 92.4 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ron-eng) + - dataset: config: ron-eng - split: test + name: MTEB Tatoeba (ron-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 86.9 @@ -3847,14 +3950,14 @@ model-index: value: 82.23333333333332 - type: recall value: 86.9 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ang-eng) + - dataset: config: ang-eng - split: test + name: MTEB Tatoeba (ang-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 50.0 @@ -3864,14 +3967,14 @@ model-index: value: 39.851634683724235 - type: recall value: 50.0 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ido-eng) + - dataset: config: ido-eng - split: test + name: MTEB Tatoeba (ido-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 76.3 @@ -3881,14 +3984,14 @@ model-index: value: 68.68777777777777 - type: recall value: 76.3 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (jav-eng) + - dataset: config: jav-eng - split: test + name: MTEB Tatoeba (jav-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 57.073170731707314 @@ -3898,14 +4001,14 @@ model-index: value: 48.26480836236933 - type: recall value: 57.073170731707314 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (isl-eng) + - dataset: config: isl-eng - split: test + name: MTEB Tatoeba (isl-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 68.2 @@ -3915,14 +4018,14 @@ model-index: value: 59.84964285714286 - type: recall value: 68.2 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (slv-eng) + - dataset: config: slv-eng - split: test + name: MTEB Tatoeba (slv-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 77.52126366950182 @@ -3932,14 +4035,14 @@ model-index: value: 70.92171498003819 - type: recall value: 77.52126366950182 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (cym-eng) + - dataset: config: cym-eng - split: test + name: MTEB Tatoeba (cym-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 70.78260869565217 @@ -3949,14 +4052,14 @@ model-index: value: 63.063067367415194 - type: recall value: 70.78260869565217 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (kaz-eng) + - dataset: config: kaz-eng - split: test + name: MTEB Tatoeba (kaz-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 78.43478260869566 @@ -3966,14 +4069,14 @@ model-index: value: 70.63768115942028 - type: recall value: 78.43478260869566 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (est-eng) + - dataset: config: est-eng - split: test + name: MTEB Tatoeba (est-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 60.9 @@ -3983,14 +4086,14 @@ model-index: value: 53.130476190476195 - type: recall value: 60.9 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (heb-eng) + - dataset: config: heb-eng - split: test + name: MTEB Tatoeba (heb-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 72.89999999999999 @@ -4000,14 +4103,14 @@ model-index: value: 65.82595238095237 - type: recall value: 72.89999999999999 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (gla-eng) + - dataset: config: gla-eng - split: test + name: MTEB Tatoeba (gla-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 46.80337756332931 @@ -4017,14 +4120,14 @@ model-index: value: 36.97101116280851 - type: recall value: 46.80337756332931 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (mar-eng) + - dataset: config: mar-eng - split: test + name: MTEB Tatoeba (mar-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 89.8 @@ -4034,14 +4137,14 @@ model-index: value: 85.375 - type: recall value: 89.8 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (lat-eng) + - dataset: config: lat-eng - split: test + name: MTEB Tatoeba (lat-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 47.199999999999996 @@ -4051,14 +4154,14 @@ model-index: value: 37.561071428571424 - type: recall value: 47.199999999999996 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (bel-eng) + - dataset: config: bel-eng - split: test + name: MTEB Tatoeba (bel-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 87.8 @@ -4068,14 +4171,14 @@ model-index: value: 83.275 - type: recall value: 87.8 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (pms-eng) + - dataset: config: pms-eng - split: test + name: MTEB Tatoeba (pms-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 48.76190476190476 @@ -4085,14 +4188,14 @@ model-index: value: 39.96743626743626 - type: recall value: 48.76190476190476 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (gle-eng) + - dataset: config: gle-eng - split: test + name: MTEB Tatoeba (gle-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 66.10000000000001 @@ -4102,14 +4205,14 @@ model-index: value: 57.150238095238095 - type: recall value: 66.10000000000001 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (pes-eng) + - dataset: config: pes-eng - split: test + name: MTEB Tatoeba (pes-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 87.3 @@ -4119,14 +4222,14 @@ model-index: value: 82.48666666666666 - type: recall value: 87.3 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (nob-eng) + - dataset: config: nob-eng - split: test + name: MTEB Tatoeba (nob-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 90.4 @@ -4136,14 +4239,14 @@ model-index: value: 86.6 - type: recall value: 90.4 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (bul-eng) + - dataset: config: bul-eng - split: test + name: MTEB Tatoeba (bul-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 87.0 @@ -4153,14 +4256,14 @@ model-index: value: 82.36666666666666 - type: recall value: 87.0 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (cbk-eng) + - dataset: config: cbk-eng - split: test + name: MTEB Tatoeba (cbk-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 63.9 @@ -4170,14 +4273,14 @@ model-index: value: 55.50595238095239 - type: recall value: 63.9 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (hun-eng) + - dataset: config: hun-eng - split: test + name: MTEB Tatoeba (hun-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 76.1 @@ -4187,14 +4290,14 @@ model-index: value: 70.04928571428573 - type: recall value: 76.1 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (uig-eng) + - dataset: config: uig-eng - split: test + name: MTEB Tatoeba (uig-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 66.3 @@ -4204,31 +4307,33 @@ model-index: value: 56.62535714285713 - type: recall value: 66.3 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (rus-eng) + - dataset: config: rus-eng - split: test + name: MTEB Tatoeba (rus-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy - value: 90.60000000000001 + value: 92.10000000000001 - type: f1 - value: 87.96333333333334 + value: 89.76666666666667 + - type: main_score + value: 89.76666666666667 - type: precision - value: 86.73333333333333 + value: 88.64999999999999 - type: recall - value: 90.60000000000001 - - task: + value: 92.10000000000001 + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (spa-eng) + - dataset: config: spa-eng - split: test + name: MTEB Tatoeba (spa-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 93.10000000000001 @@ -4238,14 +4343,14 @@ model-index: value: 90.16666666666666 - type: recall value: 93.10000000000001 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (hye-eng) + - dataset: config: hye-eng - split: test + name: MTEB Tatoeba (hye-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 85.71428571428571 @@ -4255,14 +4360,14 @@ model-index: value: 80.8076626877166 - type: recall value: 85.71428571428571 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (tel-eng) + - dataset: config: tel-eng - split: test + name: MTEB Tatoeba (tel-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 88.88888888888889 @@ -4272,14 +4377,14 @@ model-index: value: 84.43732193732193 - type: recall value: 88.88888888888889 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (afr-eng) + - dataset: config: afr-eng - split: test + name: MTEB Tatoeba (afr-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 88.5 @@ -4289,14 +4394,14 @@ model-index: value: 84.43333333333332 - type: recall value: 88.5 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (mon-eng) + - dataset: config: mon-eng - split: test + name: MTEB Tatoeba (mon-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 82.72727272727273 @@ -4306,14 +4411,14 @@ model-index: value: 76.18181818181819 - type: recall value: 82.72727272727273 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (arz-eng) + - dataset: config: arz-eng - split: test + name: MTEB Tatoeba (arz-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 61.0062893081761 @@ -4323,14 +4428,14 @@ model-index: value: 52.92112499659669 - type: recall value: 61.0062893081761 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (hrv-eng) + - dataset: config: hrv-eng - split: test + name: MTEB Tatoeba (hrv-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 89.5 @@ -4340,14 +4445,14 @@ model-index: value: 85.69166666666668 - type: recall value: 89.5 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (nov-eng) + - dataset: config: nov-eng - split: test + name: MTEB Tatoeba (nov-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 73.54085603112841 @@ -4357,14 +4462,14 @@ model-index: value: 66.53047989623866 - type: recall value: 73.54085603112841 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (gsw-eng) + - dataset: config: gsw-eng - split: test + name: MTEB Tatoeba (gsw-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 43.58974358974359 @@ -4374,14 +4479,14 @@ model-index: value: 33.81155881155882 - type: recall value: 43.58974358974359 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (nds-eng) + - dataset: config: nds-eng - split: test + name: MTEB Tatoeba (nds-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 59.599999999999994 @@ -4391,14 +4496,14 @@ model-index: value: 50.869166666666665 - type: recall value: 59.599999999999994 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ukr-eng) + - dataset: config: ukr-eng - split: test + name: MTEB Tatoeba (ukr-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 85.2 @@ -4408,14 +4513,14 @@ model-index: value: 80.02833333333335 - type: recall value: 85.2 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (uzb-eng) + - dataset: config: uzb-eng - split: test + name: MTEB Tatoeba (uzb-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 63.78504672897196 @@ -4425,14 +4530,14 @@ model-index: value: 55.815809968847354 - type: recall value: 63.78504672897196 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (lit-eng) + - dataset: config: lit-eng - split: test + name: MTEB Tatoeba (lit-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 66.5 @@ -4442,14 +4547,14 @@ model-index: value: 59.622363699102834 - type: recall value: 66.5 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ina-eng) + - dataset: config: ina-eng - split: test + name: MTEB Tatoeba (ina-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 88.6 @@ -4459,14 +4564,14 @@ model-index: value: 84.27916666666665 - type: recall value: 88.6 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (lfn-eng) + - dataset: config: lfn-eng - split: test + name: MTEB Tatoeba (lfn-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 58.699999999999996 @@ -4476,14 +4581,14 @@ model-index: value: 50.63214035964035 - type: recall value: 58.699999999999996 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (zsm-eng) + - dataset: config: zsm-eng - split: test + name: MTEB Tatoeba (zsm-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 92.10000000000001 @@ -4493,14 +4598,14 @@ model-index: value: 89.03333333333333 - type: recall value: 92.10000000000001 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ita-eng) + - dataset: config: ita-eng - split: test + name: MTEB Tatoeba (ita-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 90.10000000000001 @@ -4510,14 +4615,14 @@ model-index: value: 86.36166666666668 - type: recall value: 90.10000000000001 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (cmn-eng) + - dataset: config: cmn-eng - split: test + name: MTEB Tatoeba (cmn-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 91.4 @@ -4527,14 +4632,14 @@ model-index: value: 87.71166666666666 - type: recall value: 91.4 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (lvs-eng) + - dataset: config: lvs-eng - split: test + name: MTEB Tatoeba (lvs-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 65.7 @@ -4544,14 +4649,14 @@ model-index: value: 58.71785714285714 - type: recall value: 65.7 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (glg-eng) + - dataset: config: glg-eng - split: test + name: MTEB Tatoeba (glg-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 85.39999999999999 @@ -4561,14 +4666,14 @@ model-index: value: 80.37833333333333 - type: recall value: 85.39999999999999 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ceb-eng) + - dataset: config: ceb-eng - split: test + name: MTEB Tatoeba (ceb-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 47.833333333333336 @@ -4578,14 +4683,14 @@ model-index: value: 40.077380952380956 - type: recall value: 47.833333333333336 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (bre-eng) + - dataset: config: bre-eng - split: test + name: MTEB Tatoeba (bre-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 10.4 @@ -4595,14 +4700,14 @@ model-index: value: 7.664597069597071 - type: recall value: 10.4 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ben-eng) + - dataset: config: ben-eng - split: test + name: MTEB Tatoeba (ben-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 82.6 @@ -4612,14 +4717,14 @@ model-index: value: 75.57833333333332 - type: recall value: 82.6 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (swg-eng) + - dataset: config: swg-eng - split: test + name: MTEB Tatoeba (swg-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 52.67857142857143 @@ -4629,14 +4734,14 @@ model-index: value: 41.49801587301587 - type: recall value: 52.67857142857143 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (arq-eng) + - dataset: config: arq-eng - split: test + name: MTEB Tatoeba (arq-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 28.3205268935236 @@ -4646,14 +4751,14 @@ model-index: value: 20.685900116470915 - type: recall value: 28.3205268935236 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (kab-eng) + - dataset: config: kab-eng - split: test + name: MTEB Tatoeba (kab-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 22.7 @@ -4663,14 +4768,14 @@ model-index: value: 16.407335164835164 - type: recall value: 22.7 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (fra-eng) + - dataset: config: fra-eng - split: test + name: MTEB Tatoeba (fra-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 92.2 @@ -4680,14 +4785,14 @@ model-index: value: 88.87 - type: recall value: 92.2 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (por-eng) + - dataset: config: por-eng - split: test + name: MTEB Tatoeba (por-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 91.4 @@ -4697,14 +4802,14 @@ model-index: value: 88.21666666666667 - type: recall value: 91.4 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (tat-eng) + - dataset: config: tat-eng - split: test + name: MTEB Tatoeba (tat-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 69.19999999999999 @@ -4714,14 +4819,14 @@ model-index: value: 61.14773809523809 - type: recall value: 69.19999999999999 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (oci-eng) + - dataset: config: oci-eng - split: test + name: MTEB Tatoeba (oci-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 48.8 @@ -4731,14 +4836,14 @@ model-index: value: 40.770287114845935 - type: recall value: 48.8 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (pol-eng) + - dataset: config: pol-eng - split: test + name: MTEB Tatoeba (pol-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 88.8 @@ -4748,14 +4853,14 @@ model-index: value: 84.54166666666666 - type: recall value: 88.8 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (war-eng) + - dataset: config: war-eng - split: test + name: MTEB Tatoeba (war-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 46.6 @@ -4765,14 +4870,14 @@ model-index: value: 38.838223114604695 - type: recall value: 46.6 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (aze-eng) + - dataset: config: aze-eng - split: test + name: MTEB Tatoeba (aze-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 84.0 @@ -4782,14 +4887,14 @@ model-index: value: 78.45333333333333 - type: recall value: 84.0 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (vie-eng) + - dataset: config: vie-eng - split: test + name: MTEB Tatoeba (vie-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 90.5 @@ -4799,14 +4904,14 @@ model-index: value: 86.5 - type: recall value: 90.5 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (nno-eng) + - dataset: config: nno-eng - split: test + name: MTEB Tatoeba (nno-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 74.5 @@ -4816,14 +4921,14 @@ model-index: value: 67.51869047619049 - type: recall value: 74.5 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (cha-eng) + - dataset: config: cha-eng - split: test + name: MTEB Tatoeba (cha-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 32.846715328467155 @@ -4833,14 +4938,14 @@ model-index: value: 26.63451511991658 - type: recall value: 32.846715328467155 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (mhr-eng) + - dataset: config: mhr-eng - split: test + name: MTEB Tatoeba (mhr-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 8.0 @@ -4850,14 +4955,14 @@ model-index: value: 5.544177607179943 - type: recall value: 8.0 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (dan-eng) + - dataset: config: dan-eng - split: test + name: MTEB Tatoeba (dan-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 87.6 @@ -4867,14 +4972,14 @@ model-index: value: 82.91583333333334 - type: recall value: 87.6 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ell-eng) + - dataset: config: ell-eng - split: test + name: MTEB Tatoeba (ell-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 87.5 @@ -4884,14 +4989,14 @@ model-index: value: 82.47333333333333 - type: recall value: 87.5 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (amh-eng) + - dataset: config: amh-eng - split: test + name: MTEB Tatoeba (amh-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 80.95238095238095 @@ -4901,14 +5006,14 @@ model-index: value: 74.05753968253967 - type: recall value: 80.95238095238095 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (pam-eng) + - dataset: config: pam-eng - split: test + name: MTEB Tatoeba (pam-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 8.799999999999999 @@ -4918,14 +5023,14 @@ model-index: value: 6.557814916172301 - type: recall value: 8.799999999999999 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (hsb-eng) + - dataset: config: hsb-eng - split: test + name: MTEB Tatoeba (hsb-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 44.099378881987576 @@ -4935,14 +5040,14 @@ model-index: value: 34.69420618488942 - type: recall value: 44.099378881987576 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (srp-eng) + - dataset: config: srp-eng - split: test + name: MTEB Tatoeba (srp-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 84.3 @@ -4952,14 +5057,14 @@ model-index: value: 78.60666666666665 - type: recall value: 84.3 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (epo-eng) + - dataset: config: epo-eng - split: test + name: MTEB Tatoeba (epo-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 92.5 @@ -4969,14 +5074,14 @@ model-index: value: 89.56666666666668 - type: recall value: 92.5 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (kzj-eng) + - dataset: config: kzj-eng - split: test + name: MTEB Tatoeba (kzj-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 10.0 @@ -4986,14 +5091,14 @@ model-index: value: 7.878118605532398 - type: recall value: 10.0 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (awa-eng) + - dataset: config: awa-eng - split: test + name: MTEB Tatoeba (awa-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 79.22077922077922 @@ -5003,14 +5108,14 @@ model-index: value: 72.28715728715729 - type: recall value: 79.22077922077922 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (fao-eng) + - dataset: config: fao-eng - split: test + name: MTEB Tatoeba (fao-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 65.64885496183206 @@ -5020,14 +5125,14 @@ model-index: value: 55.992366412213734 - type: recall value: 65.64885496183206 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (mal-eng) + - dataset: config: mal-eng - split: test + name: MTEB Tatoeba (mal-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 96.06986899563319 @@ -5037,14 +5142,14 @@ model-index: value: 94.15332362930616 - type: recall value: 96.06986899563319 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ile-eng) + - dataset: config: ile-eng - split: test + name: MTEB Tatoeba (ile-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 77.2 @@ -5054,14 +5159,14 @@ model-index: value: 69.41000000000001 - type: recall value: 77.2 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (bos-eng) + - dataset: config: bos-eng - split: test + name: MTEB Tatoeba (bos-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 86.4406779661017 @@ -5071,14 +5176,14 @@ model-index: value: 81.74199623352166 - type: recall value: 86.4406779661017 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (cor-eng) + - dataset: config: cor-eng - split: test + name: MTEB Tatoeba (cor-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 8.4 @@ -5088,14 +5193,14 @@ model-index: value: 5.4829865484756795 - type: recall value: 8.4 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (cat-eng) + - dataset: config: cat-eng - split: test + name: MTEB Tatoeba (cat-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 83.5 @@ -5105,14 +5210,14 @@ model-index: value: 78.04837662337664 - type: recall value: 83.5 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (eus-eng) + - dataset: config: eus-eng - split: test + name: MTEB Tatoeba (eus-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 60.4 @@ -5122,14 +5227,14 @@ model-index: value: 52.23242424242424 - type: recall value: 60.4 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (yue-eng) + - dataset: config: yue-eng - split: test + name: MTEB Tatoeba (yue-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 74.9 @@ -5139,14 +5244,14 @@ model-index: value: 67.59873015873016 - type: recall value: 74.9 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (swe-eng) + - dataset: config: swe-eng - split: test + name: MTEB Tatoeba (swe-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 88.0 @@ -5156,14 +5261,14 @@ model-index: value: 83.66166666666666 - type: recall value: 88.0 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (dtp-eng) + - dataset: config: dtp-eng - split: test + name: MTEB Tatoeba (dtp-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 9.1 @@ -5173,14 +5278,14 @@ model-index: value: 7.370043290043291 - type: recall value: 9.1 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (kat-eng) + - dataset: config: kat-eng - split: test + name: MTEB Tatoeba (kat-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 80.9651474530831 @@ -5190,14 +5295,14 @@ model-index: value: 75.19606398962966 - type: recall value: 80.9651474530831 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (jpn-eng) + - dataset: config: jpn-eng - split: test + name: MTEB Tatoeba (jpn-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 86.9 @@ -5207,14 +5312,14 @@ model-index: value: 82.3120634920635 - type: recall value: 86.9 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (csb-eng) + - dataset: config: csb-eng - split: test + name: MTEB Tatoeba (csb-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 29.64426877470356 @@ -5224,14 +5329,14 @@ model-index: value: 22.506399397703746 - type: recall value: 29.64426877470356 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (xho-eng) + - dataset: config: xho-eng - split: test + name: MTEB Tatoeba (xho-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 70.4225352112676 @@ -5241,14 +5346,14 @@ model-index: value: 59.56572769953053 - type: recall value: 70.4225352112676 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (orv-eng) + - dataset: config: orv-eng - split: test + name: MTEB Tatoeba (orv-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 19.64071856287425 @@ -5258,14 +5363,14 @@ model-index: value: 13.865019261197494 - type: recall value: 19.64071856287425 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ind-eng) + - dataset: config: ind-eng - split: test + name: MTEB Tatoeba (ind-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 90.2 @@ -5275,14 +5380,14 @@ model-index: value: 86.70833333333331 - type: recall value: 90.2 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (tuk-eng) + - dataset: config: tuk-eng - split: test + name: MTEB Tatoeba (tuk-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 23.15270935960591 @@ -5292,14 +5397,14 @@ model-index: value: 16.982385430661292 - type: recall value: 23.15270935960591 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (max-eng) + - dataset: config: max-eng - split: test + name: MTEB Tatoeba (max-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 55.98591549295775 @@ -5309,14 +5414,14 @@ model-index: value: 47.77864154624717 - type: recall value: 55.98591549295775 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (swh-eng) + - dataset: config: swh-eng - split: test + name: MTEB Tatoeba (swh-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 73.07692307692307 @@ -5326,14 +5431,14 @@ model-index: value: 64.06837606837607 - type: recall value: 73.07692307692307 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (hin-eng) + - dataset: config: hin-eng - split: test + name: MTEB Tatoeba (hin-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 94.89999999999999 @@ -5343,14 +5448,14 @@ model-index: value: 92.43333333333332 - type: recall value: 94.89999999999999 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (dsb-eng) + - dataset: config: dsb-eng - split: test + name: MTEB Tatoeba (dsb-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 37.78705636743215 @@ -5360,14 +5465,14 @@ model-index: value: 29.72264397629742 - type: recall value: 37.78705636743215 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ber-eng) + - dataset: config: ber-eng - split: test + name: MTEB Tatoeba (ber-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 21.6 @@ -5377,14 +5482,14 @@ model-index: value: 15.71225147075147 - type: recall value: 21.6 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (tam-eng) + - dataset: config: tam-eng - split: test + name: MTEB Tatoeba (tam-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 85.01628664495115 @@ -5394,14 +5499,14 @@ model-index: value: 79.83170466883823 - type: recall value: 85.01628664495115 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (slk-eng) + - dataset: config: slk-eng - split: test + name: MTEB Tatoeba (slk-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 83.39999999999999 @@ -5411,14 +5516,14 @@ model-index: value: 78.48333333333333 - type: recall value: 83.39999999999999 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (tgl-eng) + - dataset: config: tgl-eng - split: test + name: MTEB Tatoeba (tgl-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 83.2 @@ -5428,14 +5533,14 @@ model-index: value: 77.58833333333334 - type: recall value: 83.2 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ast-eng) + - dataset: config: ast-eng - split: test + name: MTEB Tatoeba (ast-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 75.59055118110236 @@ -5445,14 +5550,14 @@ model-index: value: 70.30183727034121 - type: recall value: 75.59055118110236 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (mkd-eng) + - dataset: config: mkd-eng - split: test + name: MTEB Tatoeba (mkd-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 65.5 @@ -5462,14 +5567,14 @@ model-index: value: 56.81909090909092 - type: recall value: 65.5 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (khm-eng) + - dataset: config: khm-eng - split: test + name: MTEB Tatoeba (khm-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 55.26315789473685 @@ -5479,14 +5584,14 @@ model-index: value: 45.33950006595436 - type: recall value: 55.26315789473685 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ces-eng) + - dataset: config: ces-eng - split: test + name: MTEB Tatoeba (ces-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 82.89999999999999 @@ -5496,14 +5601,14 @@ model-index: value: 77.04761904761905 - type: recall value: 82.89999999999999 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (tzl-eng) + - dataset: config: tzl-eng - split: test + name: MTEB Tatoeba (tzl-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 43.269230769230774 @@ -5513,14 +5618,14 @@ model-index: value: 33.57371794871795 - type: recall value: 43.269230769230774 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (urd-eng) + - dataset: config: urd-eng - split: test + name: MTEB Tatoeba (urd-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 88.0 @@ -5530,14 +5635,14 @@ model-index: value: 83.23166666666665 - type: recall value: 88.0 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (ara-eng) + - dataset: config: ara-eng - split: test + name: MTEB Tatoeba (ara-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 77.4 @@ -5547,14 +5652,14 @@ model-index: value: 70.54318181818181 - type: recall value: 77.4 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (kor-eng) + - dataset: config: kor-eng - split: test + name: MTEB Tatoeba (kor-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 78.60000000000001 @@ -5564,14 +5669,14 @@ model-index: value: 72.30250000000001 - type: recall value: 78.60000000000001 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (yid-eng) + - dataset: config: yid-eng - split: test + name: MTEB Tatoeba (yid-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 72.40566037735849 @@ -5581,14 +5686,14 @@ model-index: value: 64.75039308176099 - type: recall value: 72.40566037735849 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (fin-eng) + - dataset: config: fin-eng - split: test + name: MTEB Tatoeba (fin-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 73.8 @@ -5598,14 +5703,14 @@ model-index: value: 66.3178822055138 - type: recall value: 73.8 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (tha-eng) + - dataset: config: tha-eng - split: test + name: MTEB Tatoeba (tha-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 91.78832116788321 @@ -5615,14 +5720,14 @@ model-index: value: 88.20559610705597 - type: recall value: 91.78832116788321 - - task: + task: type: BitextMining - dataset: - type: mteb/tatoeba-bitext-mining - name: MTEB Tatoeba (wuu-eng) + - dataset: config: wuu-eng - split: test + name: MTEB Tatoeba (wuu-eng) revision: 9080400076fbadbb4c4dcb136ff4eddc40b42553 + split: test + type: mteb/tatoeba-bitext-mining metrics: - type: accuracy value: 74.3 @@ -5632,14 +5737,14 @@ model-index: value: 66.955 - type: recall value: 74.3 - - task: - type: Retrieval - dataset: - type: webis-touche2020 - name: MTEB Touche2020 + task: + type: BitextMining + - dataset: config: default - split: test + name: MTEB Touche2020 revision: None + split: test + type: webis-touche2020 metrics: - type: map_at_1 value: 2.896 @@ -5701,14 +5806,14 @@ model-index: value: 6.306000000000001 - type: recall_at_5 value: 8.825 - - task: - type: Classification - dataset: - type: mteb/toxic_conversations_50k - name: MTEB ToxicConversationsClassification + task: + type: Retrieval + - dataset: config: default - split: test + name: MTEB ToxicConversationsClassification revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c + split: test + type: mteb/toxic_conversations_50k metrics: - type: accuracy value: 69.3874 @@ -5716,38 +5821,38 @@ model-index: value: 13.829909072469423 - type: f1 value: 53.54534203543492 - - task: + task: type: Classification - dataset: - type: mteb/tweet_sentiment_extraction - name: MTEB TweetSentimentExtractionClassification + - dataset: config: default - split: test + name: MTEB TweetSentimentExtractionClassification revision: d604517c81ca91fe16a244d1248fc021f9ecee7a + split: test + type: mteb/tweet_sentiment_extraction metrics: - type: accuracy value: 62.62026032823995 - type: f1 value: 62.85251350485221 - - task: - type: Clustering - dataset: - type: mteb/twentynewsgroups-clustering - name: MTEB TwentyNewsgroupsClustering + task: + type: Classification + - dataset: config: default - split: test + name: MTEB TwentyNewsgroupsClustering revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 + split: test + type: mteb/twentynewsgroups-clustering metrics: - type: v_measure value: 33.21527881409797 - - task: - type: PairClassification - dataset: - type: mteb/twittersemeval2015-pairclassification - name: MTEB TwitterSemEval2015 + task: + type: Clustering + - dataset: config: default - split: test + name: MTEB TwitterSemEval2015 revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 + split: test + type: mteb/twittersemeval2015-pairclassification metrics: - type: cos_sim_accuracy value: 84.97943613280086 @@ -5795,14 +5900,14 @@ model-index: value: 70.95016106374474 - type: max_f1 value: 65.43987900176455 - - task: + task: type: PairClassification - dataset: - type: mteb/twitterurlcorpus-pairclassification - name: MTEB TwitterURLCorpus + - dataset: config: default - split: test + name: MTEB TwitterURLCorpus revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf + split: test + type: mteb/twitterurlcorpus-pairclassification metrics: - type: cos_sim_accuracy value: 88.69096130709822 @@ -5850,103 +5955,12360 @@ model-index: value: 84.82526278228542 - type: max_f1 value: 77.69888949572183 -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 ---- + task: + type: PairClassification + - dataset: + config: ru-en + name: MTEB BUCC.v2 (ru-en) + revision: 1739dc11ffe9b7bfccd7f3d585aeb4c544fc6677 + split: test + type: mteb/bucc-bitext-mining + metrics: + - type: accuracy + value: 95.72566678212678 + - type: f1 + value: 94.42443135896548 + - type: main_score + value: 94.42443135896548 + - type: precision + value: 93.80868260016165 + - type: recall + value: 95.72566678212678 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-rus_Cyrl + name: MTEB BelebeleRetrieval (rus_Cyrl-rus_Cyrl) + revision: 75b399394a9803252cfec289d103de462763db7c + split: test + type: facebook/belebele + metrics: + - type: main_score + value: 92.23599999999999 + - type: map_at_1 + value: 87.111 + - type: map_at_10 + value: 90.717 + - type: map_at_100 + value: 90.879 + - type: map_at_1000 + value: 90.881 + - type: map_at_20 + value: 90.849 + - type: map_at_3 + value: 90.074 + - type: map_at_5 + value: 90.535 + - type: mrr_at_1 + value: 87.1111111111111 + - type: mrr_at_10 + value: 90.7173721340388 + - 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dataset: + config: rus_Cyrl-ace_Arab + name: MTEB FloresBitextMining (rus_Cyrl-ace_Arab) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 19.565217391304348 + - type: f1 + value: 16.321465000323805 + - type: main_score + value: 16.321465000323805 + - type: precision + value: 15.478527409347508 + - type: recall + value: 19.565217391304348 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-bam_Latn + name: MTEB FloresBitextMining (rus_Cyrl-bam_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 73.41897233201581 + - type: f1 + value: 68.77366228182746 + - type: main_score + value: 68.77366228182746 + - type: precision + value: 66.96012924273795 + - type: recall + value: 73.41897233201581 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-dzo_Tibt + name: MTEB FloresBitextMining (rus_Cyrl-dzo_Tibt) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 95.81686429512516 + - type: recall + value: 97.13438735177866 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-mag_Deva + name: MTEB FloresBitextMining (rus_Cyrl-mag_Deva) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.50592885375494 + - type: f1 + value: 99.35770750988142 + - type: main_score + value: 99.35770750988142 + - type: precision + value: 99.29183135704875 + - type: recall + value: 99.50592885375494 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-pap_Latn + name: MTEB FloresBitextMining (rus_Cyrl-pap_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 96.93675889328063 + - type: f1 + value: 96.05072463768116 + - type: main_score + value: 96.05072463768116 + - type: precision + value: 95.66040843214758 + - type: recall + value: 96.93675889328063 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-sot_Latn + name: MTEB FloresBitextMining (rus_Cyrl-sot_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 93.67588932806325 + - type: f1 + value: 91.7786561264822 + - type: main_score + value: 91.7786561264822 + - type: precision + value: 90.91238471673255 + - type: recall + value: 93.67588932806325 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-tur_Latn + name: MTEB FloresBitextMining (rus_Cyrl-tur_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.01185770750988 + - type: f1 + value: 98.68247694334651 + - type: main_score + value: 98.68247694334651 + - type: precision + value: 98.51778656126481 + - type: recall + value: 99.01185770750988 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-ace_Latn + name: MTEB FloresBitextMining (rus_Cyrl-ace_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 97.48023715415019 + - type: recall + value: 98.3201581027668 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-hne_Deva + name: MTEB FloresBitextMining (rus_Cyrl-hne_Deva) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.51778656126481 + - type: f1 + value: 98.0566534914361 + - type: main_score + value: 98.0566534914361 + - type: precision + value: 97.82608695652173 + - type: recall + value: 98.51778656126481 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-kik_Latn + name: MTEB FloresBitextMining (rus_Cyrl-kik_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 80.73122529644269 + - type: f1 + value: 76.42689244220864 + - type: main_score + value: 76.42689244220864 + - type: precision + value: 74.63877909530083 + - type: recall + value: 80.73122529644269 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-mai_Deva + name: MTEB FloresBitextMining (rus_Cyrl-mai_Deva) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.91304347826086 + - type: f1 + value: 98.56719367588933 + - type: main_score + value: 98.56719367588933 + - type: precision + value: 98.40250329380763 + - type: recall + value: 98.91304347826086 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-pbt_Arab + name: MTEB FloresBitextMining (rus_Cyrl-pbt_Arab) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 97.5296442687747 + - type: f1 + value: 96.73913043478261 + - type: main_score + value: 96.73913043478261 + - type: precision + value: 96.36034255599473 + - type: recall + value: 97.5296442687747 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-spa_Latn + name: MTEB FloresBitextMining (rus_Cyrl-spa_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 97.48023715415019 + - type: recall + value: 98.3201581027668 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-bel_Cyrl + name: MTEB FloresBitextMining (rus_Cyrl-bel_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.22134387351778 + - type: f1 + value: 97.67786561264822 + - type: main_score + value: 97.67786561264822 + - type: precision + value: 97.4308300395257 + - type: recall + value: 98.22134387351778 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-eng_Latn + name: MTEB FloresBitextMining (rus_Cyrl-eng_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.70355731225297 + - type: f1 + value: 99.60474308300395 + - type: main_score + value: 99.60474308300395 + - type: precision + value: 99.55533596837944 + - type: recall + value: 99.70355731225297 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-hrv_Latn + name: MTEB FloresBitextMining (rus_Cyrl-hrv_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.1106719367589 + - type: f1 + value: 98.83069828722002 + - type: main_score + value: 98.83069828722002 + - type: precision + value: 98.69894598155466 + - type: recall + value: 99.1106719367589 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-kin_Latn + name: MTEB FloresBitextMining (rus_Cyrl-kin_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 93.37944664031622 + - type: f1 + value: 91.53162055335969 + - type: main_score + value: 91.53162055335969 + - type: precision + value: 90.71475625823452 + - type: recall + value: 93.37944664031622 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-mal_Mlym + name: MTEB FloresBitextMining (rus_Cyrl-mal_Mlym) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 84.86001317523056 + - type: recall + value: 89.03162055335969 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-tzm_Tfng + name: MTEB FloresBitextMining (rus_Cyrl-tzm_Tfng) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 12.351778656126482 + - type: f1 + value: 10.112177999067715 + - type: main_score + value: 10.112177999067715 + - type: precision + value: 9.53495885438645 + - type: recall + value: 12.351778656126482 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-acq_Arab + name: MTEB FloresBitextMining (rus_Cyrl-acq_Arab) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.91304347826086 + - type: f1 + value: 98.55072463768116 + - type: main_score + value: 98.55072463768116 + - type: precision + value: 98.36956521739131 + - type: recall + value: 98.91304347826086 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-bem_Latn + name: MTEB FloresBitextMining (rus_Cyrl-bem_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 73.22134387351778 + - type: f1 + value: 68.30479412989295 + - type: main_score + value: 68.30479412989295 + - type: precision + value: 66.40073447632736 + - type: recall + value: 73.22134387351778 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-epo_Latn + name: MTEB FloresBitextMining (rus_Cyrl-epo_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.1106719367589 + - type: f1 + value: 98.81422924901186 + - type: main_score + value: 98.81422924901186 + - type: precision + value: 98.66600790513834 + - type: recall + value: 99.1106719367589 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-hun_Latn + name: MTEB FloresBitextMining (rus_Cyrl-hun_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 98.07312252964427 + - type: recall + value: 98.71541501976284 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-plt_Latn + name: MTEB FloresBitextMining (rus_Cyrl-plt_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 88.04347826086956 + - type: f1 + value: 85.14328063241106 + - type: main_score + value: 85.14328063241106 + - type: precision + value: 83.96339168078298 + - type: recall + value: 88.04347826086956 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-srp_Cyrl + name: MTEB FloresBitextMining (rus_Cyrl-srp_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.40711462450594 + - type: f1 + value: 99.2094861660079 + - type: main_score + value: 99.2094861660079 + - type: precision + value: 99.1106719367589 + - type: recall + value: 99.40711462450594 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-uig_Arab + name: MTEB FloresBitextMining (rus_Cyrl-uig_Arab) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 92.19367588932806 + - type: f1 + value: 89.98541313758706 + - type: main_score + value: 89.98541313758706 + - type: precision + value: 89.01021080368906 + - type: recall + value: 92.19367588932806 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-aeb_Arab + name: MTEB FloresBitextMining (rus_Cyrl-aeb_Arab) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 95.8498023715415 + - type: f1 + value: 94.63109354413703 + - type: main_score + value: 94.63109354413703 + - type: precision + value: 94.05467720685111 + - type: recall + value: 95.8498023715415 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-ben_Beng + name: MTEB FloresBitextMining (rus_Cyrl-ben_Beng) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 98.51778656126481 + - type: recall + value: 99.01185770750988 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-ydd_Hebr + name: MTEB FloresBitextMining (rus_Cyrl-ydd_Hebr) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 89.42687747035573 + - type: f1 + value: 86.47609636740073 + - type: main_score + value: 86.47609636740073 + - type: precision + value: 85.13669301712781 + - type: recall + value: 89.42687747035573 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-ary_Arab + name: MTEB FloresBitextMining (rus_Cyrl-ary_Arab) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 89.82213438735178 + - type: f1 + value: 87.04545454545456 + - type: main_score + value: 87.04545454545456 + - type: precision + value: 85.76910408432148 + - type: recall + value: 89.82213438735178 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-ces_Latn + name: MTEB FloresBitextMining (rus_Cyrl-ces_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.2094861660079 + - type: f1 + value: 98.9459815546772 + - type: main_score + value: 98.9459815546772 + - type: precision + value: 98.81422924901186 + - type: recall + value: 99.2094861660079 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-gaz_Latn + name: MTEB FloresBitextMining (rus_Cyrl-gaz_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 64.9209486166008 + - type: f1 + value: 58.697458119394874 + - type: main_score + value: 58.697458119394874 + - type: precision + value: 56.43402189597842 + - type: recall + value: 64.9209486166008 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-kam_Latn + name: MTEB FloresBitextMining (rus_Cyrl-kam_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 59.18972332015811 + - type: f1 + value: 53.19031511966295 + - type: main_score + value: 53.19031511966295 + - type: precision + value: 51.08128357343655 + - type: recall + value: 59.18972332015811 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-lit_Latn + name: MTEB FloresBitextMining (rus_Cyrl-lit_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 96.54150197628458 + - type: f1 + value: 95.5368906455863 + - type: main_score + value: 95.5368906455863 + - type: precision + value: 95.0592885375494 + - type: recall + value: 96.54150197628458 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-nob_Latn + name: MTEB FloresBitextMining (rus_Cyrl-nob_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.12252964426878 + - type: f1 + value: 97.51317523056655 + - type: main_score + value: 97.51317523056655 + - type: precision + value: 97.2167325428195 + - type: recall + value: 98.12252964426878 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-scn_Latn + name: MTEB FloresBitextMining (rus_Cyrl-scn_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 84.0909090909091 + - type: f1 + value: 80.37000439174352 + - type: main_score + value: 80.37000439174352 + - type: precision + value: 78.83994628559846 + - type: recall + value: 84.0909090909091 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-tgk_Cyrl + name: MTEB FloresBitextMining (rus_Cyrl-tgk_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 92.68774703557312 + - type: f1 + value: 90.86344814605684 + - type: main_score + value: 90.86344814605684 + - type: precision + value: 90.12516469038208 + - type: recall + value: 92.68774703557312 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-yor_Latn + name: MTEB FloresBitextMining (rus_Cyrl-yor_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 72.13438735177866 + - type: f1 + value: 66.78759646150951 + - type: main_score + value: 66.78759646150951 + - type: precision + value: 64.85080192096002 + - type: recall + value: 72.13438735177866 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-arz_Arab + name: MTEB FloresBitextMining (rus_Cyrl-arz_Arab) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.02371541501977 + - type: f1 + value: 97.364953886693 + - type: main_score + value: 97.364953886693 + - type: precision + value: 97.03557312252964 + - type: recall + value: 98.02371541501977 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-cjk_Latn + name: MTEB FloresBitextMining (rus_Cyrl-cjk_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 98.84716732542819 + - type: recall + value: 99.2094861660079 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-lmo_Latn + name: MTEB FloresBitextMining (rus_Cyrl-lmo_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 82.41106719367589 + - type: f1 + value: 78.56413514022209 + - type: main_score + value: 78.56413514022209 + - type: precision + value: 77.15313068573938 + - type: recall + value: 82.41106719367589 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-npi_Deva + name: MTEB FloresBitextMining (rus_Cyrl-npi_Deva) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.71541501976284 + - type: f1 + value: 98.3201581027668 + - type: main_score + value: 98.3201581027668 + - type: precision + value: 98.12252964426878 + - type: recall + value: 98.71541501976284 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-shn_Mymr + name: MTEB FloresBitextMining (rus_Cyrl-shn_Mymr) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 57.11462450592886 + - type: f1 + value: 51.51361369197337 + - type: main_score + value: 51.51361369197337 + - type: precision + value: 49.71860043649573 + - type: recall + value: 57.11462450592886 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-tgl_Latn + name: MTEB FloresBitextMining (rus_Cyrl-tgl_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 97.82608695652173 + - type: f1 + value: 97.18379446640316 + - type: main_score + value: 97.18379446640316 + - type: precision + value: 96.88735177865613 + - type: recall + value: 97.82608695652173 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-yue_Hant + name: MTEB FloresBitextMining (rus_Cyrl-yue_Hant) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 89.80072463768116 + - type: recall + value: 92.88537549407114 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-gle_Latn + name: MTEB FloresBitextMining (rus_Cyrl-gle_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 91.699604743083 + - type: f1 + value: 89.40899680030115 + - type: main_score + value: 89.40899680030115 + - type: precision + value: 88.40085638998683 + - type: recall + value: 91.699604743083 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-kas_Arab + name: MTEB FloresBitextMining (rus_Cyrl-kas_Arab) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 88.3399209486166 + - type: f1 + value: 85.14351590438548 + - type: main_score + value: 85.14351590438548 + - type: precision + value: 83.72364953886692 + - type: recall + value: 88.3399209486166 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-ltg_Latn + name: MTEB FloresBitextMining (rus_Cyrl-ltg_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 83.399209486166 + - type: f1 + value: 79.88408934061107 + - type: main_score + value: 79.88408934061107 + - type: precision + value: 78.53794509179885 + - type: recall + value: 83.399209486166 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-nso_Latn + name: MTEB FloresBitextMining (rus_Cyrl-nso_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 91.20553359683794 + - type: f1 + value: 88.95406635525212 + - type: main_score + value: 88.95406635525212 + - type: precision + value: 88.01548089591567 + - type: recall + value: 91.20553359683794 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-sin_Sinh + name: MTEB FloresBitextMining (rus_Cyrl-sin_Sinh) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 96.17918313570487 + - type: recall + value: 97.4308300395257 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-ast_Latn + name: MTEB FloresBitextMining (rus_Cyrl-ast_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 94.46640316205533 + - type: f1 + value: 92.86890645586297 + - type: main_score + value: 92.86890645586297 + - type: precision + value: 92.14756258234519 + - type: recall + value: 94.46640316205533 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-crh_Latn + name: MTEB FloresBitextMining (rus_Cyrl-crh_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 94.66403162055336 + - type: f1 + value: 93.2663592446201 + - type: main_score + value: 93.2663592446201 + - type: precision + value: 92.66716073781292 + - type: recall + value: 94.66403162055336 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-glg_Latn + name: MTEB FloresBitextMining (rus_Cyrl-glg_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.81422924901186 + - type: f1 + value: 98.46837944664031 + - type: main_score + value: 98.46837944664031 + - type: precision + value: 98.3201581027668 + - type: recall + value: 98.81422924901186 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-kas_Deva + name: MTEB FloresBitextMining (rus_Cyrl-kas_Deva) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 69.1699604743083 + - type: f1 + value: 63.05505292906477 + - type: main_score + value: 63.05505292906477 + - type: precision + value: 60.62594108789761 + - type: recall + value: 69.1699604743083 + task: + type: BitextMining + - dataset: + config: rus_Cyrl-ltz_Latn + name: MTEB FloresBitextMining (rus_Cyrl-ltz_Latn) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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dataset: + config: scn_Latn-rus_Cyrl + name: MTEB FloresBitextMining (scn_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 70.45454545454545 + - type: f1 + value: 68.62561022640075 + - type: main_score + value: 68.62561022640075 + - type: precision + value: 67.95229103411222 + - type: recall + value: 70.45454545454545 + task: + type: BitextMining + - dataset: + config: tgk_Cyrl-rus_Cyrl + name: MTEB FloresBitextMining (tgk_Cyrl-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 92.4901185770751 + - type: f1 + value: 91.58514492753623 + - type: main_score + value: 91.58514492753623 + - type: precision + value: 91.24759298672342 + - type: recall + value: 92.4901185770751 + task: + type: BitextMining + - dataset: + config: yor_Latn-rus_Cyrl + name: MTEB FloresBitextMining (yor_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 35.49101355074723 + - type: recall + value: 38.63636363636363 + task: + type: BitextMining + - dataset: + config: gla_Latn-rus_Cyrl + name: MTEB FloresBitextMining (gla_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 69.26877470355731 + - type: f1 + value: 66.11797423328613 + - type: main_score + value: 66.11797423328613 + - type: precision + value: 64.89369649409694 + - type: recall + value: 69.26877470355731 + task: + type: BitextMining + - dataset: + config: kan_Knda-rus_Cyrl + name: MTEB FloresBitextMining (kan_Knda-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.02371541501977 + - type: f1 + value: 97.51505740636176 + - type: main_score + value: 97.51505740636176 + - type: precision + value: 97.30731225296442 + - type: recall + value: 98.02371541501977 + task: + type: BitextMining + - dataset: + config: lmo_Latn-rus_Cyrl + name: MTEB FloresBitextMining (lmo_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 73.3201581027668 + - type: f1 + value: 71.06371608677273 + - type: main_score + value: 71.06371608677273 + - type: precision + value: 70.26320288266223 + - type: recall + value: 73.3201581027668 + task: + type: BitextMining + - dataset: + config: npi_Deva-rus_Cyrl + name: MTEB FloresBitextMining (npi_Deva-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 97.82608695652173 + - type: f1 + value: 97.36645107198466 + - type: main_score + value: 97.36645107198466 + - type: precision + value: 97.1772068511199 + - type: recall + value: 97.82608695652173 + task: + type: BitextMining + - dataset: + config: shn_Mymr-rus_Cyrl + name: MTEB FloresBitextMining (shn_Mymr-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 39.426877470355734 + - type: f1 + value: 37.16728785513024 + - type: main_score + value: 37.16728785513024 + - type: precision + value: 36.56918548278505 + - type: recall + value: 39.426877470355734 + task: + type: BitextMining + - dataset: + config: tgl_Latn-rus_Cyrl + name: MTEB FloresBitextMining (tgl_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 97.92490118577075 + - type: f1 + value: 97.6378693769998 + - type: main_score + value: 97.6378693769998 + - type: precision + value: 97.55371440154047 + - type: recall + value: 97.92490118577075 + task: + type: BitextMining + - dataset: + config: yue_Hant-rus_Cyrl + name: MTEB FloresBitextMining (yue_Hant-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 97.92490118577075 + - type: f1 + value: 97.3833051006964 + - type: main_score + value: 97.3833051006964 + - type: precision + value: 97.1590909090909 + - type: recall + value: 97.92490118577075 + task: + type: BitextMining + - dataset: + config: asm_Beng-rus_Cyrl + name: MTEB FloresBitextMining (asm_Beng-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 92.78656126482213 + - type: f1 + value: 91.76917395296842 + - type: main_score + value: 91.76917395296842 + - type: precision + value: 91.38292866553736 + - type: recall + value: 92.78656126482213 + task: + type: BitextMining + - dataset: + config: ckb_Arab-rus_Cyrl + name: MTEB FloresBitextMining (ckb_Arab-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 80.8300395256917 + - type: f1 + value: 79.17664345468799 + - type: main_score + value: 79.17664345468799 + - type: precision + value: 78.5622171683459 + - type: recall + value: 80.8300395256917 + task: + type: BitextMining + - dataset: + config: gle_Latn-rus_Cyrl + name: MTEB FloresBitextMining (gle_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 85.86956521739131 + - type: f1 + value: 84.45408265372492 + - type: main_score + value: 84.45408265372492 + - type: precision + value: 83.8774340026703 + - type: recall + value: 85.86956521739131 + task: + type: BitextMining + - dataset: + config: kas_Arab-rus_Cyrl + name: MTEB FloresBitextMining (kas_Arab-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 76.28458498023716 + - type: f1 + value: 74.11216313578267 + - type: main_score + value: 74.11216313578267 + - type: precision + value: 73.2491277759584 + - type: recall + value: 76.28458498023716 + task: + type: BitextMining + - dataset: + config: ltg_Latn-rus_Cyrl + name: MTEB FloresBitextMining (ltg_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 96.87986585219788 + - type: recall + value: 97.62845849802372 + task: + type: BitextMining + - dataset: + config: tha_Thai-rus_Cyrl + name: MTEB FloresBitextMining (tha_Thai-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.71541501976284 + - type: f1 + value: 98.28722002635045 + - type: main_score + value: 98.28722002635045 + - type: precision + value: 98.07312252964427 + - type: recall + value: 98.71541501976284 + task: + type: BitextMining + - dataset: + config: zho_Hans-rus_Cyrl + name: MTEB FloresBitextMining (zho_Hans-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.01185770750988 + - type: f1 + value: 98.68247694334651 + - type: main_score + value: 98.68247694334651 + - type: precision + value: 98.51778656126481 + - type: recall + value: 99.01185770750988 + task: + type: BitextMining + - dataset: + config: ast_Latn-rus_Cyrl + name: MTEB FloresBitextMining (ast_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 95.65217391304348 + - type: f1 + value: 94.90649683857505 + - type: main_score + value: 94.90649683857505 + - type: precision + value: 94.61352657004831 + - type: recall + value: 95.65217391304348 + task: + type: BitextMining + - dataset: + config: crh_Latn-rus_Cyrl + name: MTEB FloresBitextMining (crh_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 93.08300395256917 + - type: f1 + value: 92.20988998886428 + - type: main_score + value: 92.20988998886428 + - type: precision + value: 91.85631013694254 + - type: recall + value: 93.08300395256917 + task: + type: BitextMining + - dataset: + config: glg_Latn-rus_Cyrl + name: MTEB FloresBitextMining (glg_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 86.30023235431587 + - type: recall + value: 87.64822134387352 + task: + type: BitextMining + - dataset: + config: nus_Latn-rus_Cyrl + name: MTEB FloresBitextMining (nus_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 27.4703557312253 + - type: f1 + value: 25.703014277858088 + - type: main_score + value: 25.703014277858088 + - type: precision + value: 25.194105476917315 + - type: recall + value: 27.4703557312253 + task: + type: BitextMining + - dataset: + config: slk_Latn-rus_Cyrl + name: MTEB FloresBitextMining (slk_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.30830039525692 + - type: f1 + value: 99.1106719367589 + - type: main_score + value: 99.1106719367589 + - type: precision + value: 99.02832674571805 + - type: recall + value: 99.30830039525692 + task: + type: BitextMining + - dataset: + config: tir_Ethi-rus_Cyrl + name: MTEB FloresBitextMining (tir_Ethi-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 80.73122529644269 + - type: f1 + value: 78.66903754775608 + - type: main_score + value: 78.66903754775608 + - type: precision + value: 77.86431694163612 + - type: recall + value: 80.73122529644269 + task: + type: BitextMining + - dataset: + config: zho_Hant-rus_Cyrl + name: MTEB FloresBitextMining (zho_Hant-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.22134387351778 + - type: f1 + value: 97.66798418972333 + - type: main_score + value: 97.66798418972333 + - type: precision + value: 97.40612648221344 + - type: recall + value: 98.22134387351778 + task: + type: BitextMining + - dataset: + config: awa_Deva-rus_Cyrl + name: MTEB FloresBitextMining (awa_Deva-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: precision + value: 61.0049495186209 + - type: recall + value: 64.13043478260869 + task: + type: BitextMining + - dataset: + config: kat_Geor-rus_Cyrl + name: MTEB FloresBitextMining (kat_Geor-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 98.02371541501977 + - type: f1 + value: 97.59881422924902 + - type: main_score + value: 97.59881422924902 + - type: precision + value: 97.42534036012296 + - type: recall + value: 98.02371541501977 + task: + type: BitextMining + - dataset: + config: lua_Latn-rus_Cyrl + name: MTEB FloresBitextMining (lua_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 63.63636363636363 + - type: f1 + value: 60.9709122526128 + - type: main_score + value: 60.9709122526128 + - type: precision + value: 60.03915902282226 + - type: recall + value: 63.63636363636363 + task: + type: BitextMining + - dataset: + config: nya_Latn-rus_Cyrl + name: MTEB FloresBitextMining (nya_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 89.2292490118577 + - type: f1 + value: 87.59723824473149 + - type: main_score + value: 87.59723824473149 + - type: precision + value: 86.90172707867349 + - type: recall + value: 89.2292490118577 + task: + type: BitextMining + - dataset: + config: slv_Latn-rus_Cyrl + name: MTEB FloresBitextMining (slv_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - type: accuracy + value: 99.01185770750988 + - type: f1 + value: 98.74835309617917 + - type: main_score + value: 98.74835309617917 + - type: precision + value: 98.63636363636364 + - type: recall + value: 99.01185770750988 + task: + type: BitextMining + - dataset: + config: tpi_Latn-rus_Cyrl + name: MTEB FloresBitextMining (tpi_Latn-rus_Cyrl) + revision: e6b647fcb6299a2f686f742f4d4c023e553ea67e + split: devtest + type: mteb/flores + metrics: + - 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type: recall_at_5 + value: 98.90299999999999 + task: + type: Retrieval +tags: +- mteb +- Sentence Transformers +- sentence-similarity +- sentence-transformers +--- + ## Multilingual-E5-small @@ -6054,7 +18416,7 @@ For other training details, please refer to our paper at [https://arxiv.org/pdf/ ## MTEB Benchmark Evaluation -Check out [unilm/e5](https://github.com/microsoft/unilm/tree/master/e5) to reproduce evaluation results +Check out [unilm/e5](https://github.com/microsoft/unilm/tree/master/e5) to reproduce evaluation results on the [BEIR](https://arxiv.org/abs/2104.08663) and [MTEB benchmark](https://arxiv.org/abs/2210.07316). ## Support for Sentence Transformers @@ -6097,10 +18459,10 @@ Different versions of `transformers` and `pytorch` could cause negligible but no **3. Why does the cosine similarity scores distribute around 0.7 to 1.0?** -This is a known and expected behavior as we use a low temperature 0.01 for InfoNCE contrastive loss. +This is a known and expected behavior as we use a low temperature 0.01 for InfoNCE contrastive loss. -For text embedding tasks like text retrieval or semantic similarity, -what matters is the relative order of the scores instead of the absolute values, +For text embedding tasks like text retrieval or semantic similarity, +what matters is the relative order of the scores instead of the absolute values, so this should not be an issue. ## Citation