MTEB-lite: named reference models (models.csv), per-task calibration (calibration.csv), eng (v2) + eng-super (v3 selection with 46 reference models)
ac198e3 verified | task,task_type,main_score,estimator,K,a,b,n_fit_models,fit_pearson_r,fit_residual_sd,fitted_on | |
| ArguAna,Retrieval,ndcg_at_10,weighted_mean,20,0.2645501648091539,0.4458515231651903,46,0.9588523945712302,0.029524285291282797,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| ArXivHierarchicalClusteringP2P,Clustering,v_measure,set_metric,20,-0.8608123955282393,1.6515716042654849,46,0.8974341658892929,0.017834319205076235,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| ArXivHierarchicalClusteringS2S,Clustering,v_measure,set_metric,20,-1.47710758805888,2.239800060855283,46,0.6891313316720175,0.0287039444255014,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| AskUbuntuDupQuestions,Reranking,map,weighted_mean,20,0.24288538315267055,0.44880759115417235,45,0.9660786235693546,0.010450283522605183,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| BIOSSES,STS,cosine_spearman,set_metric,20,0.6749647712536477,0.2768112792510925,45,0.8558241643529894,0.022647786677345922,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| Banking77Classification,Classification,accuracy,weighted_mean,20,0.36748420992953923,0.45233362451068465,45,0.9152415774996896,0.03534535424224634,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| BiorxivClusteringP2P.v2,Clustering,v_measure,set_metric,20,0.8916366180114544,-0.5918533446918631,46,0.22136214927208464,0.05111786218399014,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| CQADupstackGamingRetrieval,Retrieval,ndcg_at_10,weighted_mean,20,0.14202459665348693,0.494025301871689,39,0.9187603214334432,0.02404166401584713,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| CQADupstackUnixRetrieval,Retrieval,ndcg_at_10,weighted_mean,20,0.24016047390554615,0.3001486309985666,39,0.9264084421843828,0.022291961691815104,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| ClimateFEVERHardNegatives,Retrieval,ndcg_at_10,weighted_mean,20,0.04859430665346554,0.42513434938131256,40,0.9830843885378602,0.014252060125726608,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| FEVERHardNegatives,Retrieval,ndcg_at_10,weighted_mean,20,0.13083618950919934,0.7319077961212438,40,0.9794618260376314,0.02669694316236432,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| FiQA2018,Retrieval,ndcg_at_10,weighted_mean,20,-0.041261640271711676,0.5130632615207685,45,0.9426720662397128,0.034802613864716725,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| HotpotQAHardNegatives,Retrieval,ndcg_at_10,weighted_mean,20,0.05932813536415252,0.6602466534480724,46,0.9836487662951893,0.022839649259047974,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| ImdbClassification,Classification,accuracy,weighted_mean,20,0.3587476727483472,0.5810782017434133,45,0.9863561845917607,0.02018773883087499,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MTOPDomainClassification,Classification,accuracy,weighted_mean,20,0.49570884348802485,0.44420008566035185,43,0.961210075104973,0.021018459413483365,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MassiveIntentClassification,Classification,accuracy,weighted_mean,20,0.22696935162318402,0.5530833137612591,46,0.9741220546745947,0.023540060848351856,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MassiveScenarioClassification,Classification,accuracy,weighted_mean,20,0.32471797439457806,0.49180544245848773,45,0.943169774685363,0.029346190893620207,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MedrxivClusteringP2P.v2,Clustering,v_measure,set_metric,20,-0.5022597231778709,1.0881808530459758,46,0.6377895411306559,0.028896957431378576,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MedrxivClusteringS2S.v2,Clustering,v_measure,set_metric,20,-0.41105451954516514,0.9749054381566765,46,0.5775500320931765,0.03157226051064609,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MindSmallReranking,Reranking,map,weighted_mean,20,0.3584619986470155,-0.10891171540956766,45,0.2609005122824286,0.012136792675884476,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| SCIDOCS,Retrieval,ndcg_at_10,weighted_mean,20,0.010679272954705025,0.3268865513231753,39,0.9866495763940919,0.005975161599159801,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| SICK-R,STS,cosine_spearman,set_metric,20,0.5576755642279938,0.4165366206846191,46,0.5888528441357828,0.04027790218604393,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| STS12,STS,cosine_spearman,set_metric,20,0.423790099044518,0.7541708184842896,46,0.6545025476994475,0.046137284694391247,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| STS13,STS,cosine_spearman,set_metric,20,0.04939960903983409,1.018965448610412,46,0.963586955034976,0.025821068366745123,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| STS14,STS,cosine_spearman,set_metric,20,0.13371025429155423,0.8874573902315933,46,0.8636199320085457,0.044885010327537625,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| STS15,STS,cosine_spearman,set_metric,20,0.21305956030782996,0.8154627692194502,46,0.8734778355060621,0.024091646856372263,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| STSBenchmark,STS,cosine_spearman,set_metric,20,0.3580556380440384,0.6229766755293464,46,0.9124099776930629,0.025568433945316132,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| SprintDuplicateQuestions,PairClassification,max_ap,set_metric,20,0.7908904166100414,0.30926761915762646,46,0.6223073414471537,0.06474740500590258,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| StackExchangeClustering.v2,Clustering,v_measure,set_metric,20,-0.4036211793301802,1.0,46,nan,0.11605065756584694,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| StackExchangeClusteringP2P.v2,Clustering,v_measure,set_metric,20,-0.5559037227872863,1.0,45,-5.249482175912881e-16,0.0563978433133532,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| TRECCOVID,Retrieval,ndcg_at_10,weighted_mean,20,-0.43734997933060327,1.4067612367325657,40,0.948554265506227,0.05263814438291261,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| Touche2020Retrieval.v3,Retrieval,ndcg_at_10,weighted_mean,20,-0.3876171917702655,1.1943719255436431,38,0.8926637984607071,0.04038526697027769,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| ToxicConversationsClassification,Classification,accuracy,weighted_mean,20,0.4783064507580104,0.35170816193614957,46,0.952631996357433,0.024900668425290845,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| TweetSentimentExtractionClassification,Classification,accuracy,weighted_mean,20,0.45360953430449125,0.3415618600938529,45,0.9811312562582407,0.017188595252182595,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| TwentyNewsgroupsClustering.v2,Clustering,v_measure,set_metric,20,-2.4387924583023106,3.1138147567482113,45,0.42017315296745206,0.07418768059097806,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| TwitterSemEval2015,PairClassification,max_ap,set_metric,20,0.5536951575737539,0.37622949096746744,45,0.6269130245311847,0.05339241781138533,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| TwitterURLCorpus,PairClassification,max_ap,set_metric,20,0.8436197525850704,0.023428125403173555,46,0.058758480683288754,0.021018599893217266,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| SummEvalSummarization.v2,Summarization,cosine_spearman,weighted_mean,20,0.18824953705375708,0.29992680186753073,46,0.9014036591510101,0.014835602583885568,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| AmazonCounterfactualClassification,Classification,accuracy,weighted_mean,20,0.48091983067112826,0.4847845193721604,43,0.9770952076494064,0.02311328868689022,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| STS17,STS,cosine_spearman,set_metric,20,0.486438092752553,0.5171428630023809,46,0.802068944593198,0.02498756550745865,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| STS22.v2,STS,cosine_spearman,set_metric,20,0.6182941454817312,0.26052313272284594,40,0.33790521583763766,0.02257642728030112,models.csv rows with role_eng-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |