| task,task_type,main_score,estimator,K,a,b,n_fit_models,fit_pearson_r,fit_residual_sd,fitted_on | |
| BibleNLPBitextMining,BitextMining,f1,gp,20,-0.062421919006938865,1.0608518596800987,39,0.9981843620874921,0.0209673481218237,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| FloresBitextMining,BitextMining,f1,gp,20,-0.2085891816752213,1.2593970056951946,39,0.9964509141704048,0.012673036190524059,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| IWSLT2017BitextMining,BitextMining,f1,gp,20,-0.1757657416653452,1.2035046783184356,38,0.9940924633394886,0.021369596848588253,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| NTREXBitextMining,BitextMining,f1,gp,20,-0.1770763642466929,1.1937492188959322,39,0.9978847677841978,0.015549961997752788,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| Tatoeba,BitextMining,f1,gp,20,-0.05707285025477025,1.03523115814434,39,0.9893480617396083,0.02615647793047687,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| WebFAQBitextMiningQAs,BitextMining,f1,gp,20,-1.5713394533228253,2.679295975895469,37,0.9815267094941758,0.011250348443543735,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| WebFAQBitextMiningQuestions,BitextMining,f1,gp,20,-0.5629839742503225,1.5953179491478227,37,0.9929732361906148,0.01863675226566203,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| AJGT.v2,Classification,accuracy,gp,20,0.0761338047858304,0.9118730397909554,37,0.9413359170994191,0.01438011584180185,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| AfriSentiClassification,Classification,accuracy,gp,20,0.1245480479043083,0.6918278921706799,39,0.8305648717878579,0.015575994961334981,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| HUMEMultilingualSentimentClassification,Classification,accuracy,gp,20,0.09063861367612103,0.8993560872922681,38,0.9490985896290182,0.021974222215404675,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| HotelReviewSentimentClassification.v2,Classification,accuracy,gp,20,0.003190761992803617,1.0114873562930997,37,0.9721390263494172,0.01716739637225889,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MassiveIntentClassification,Classification,accuracy,gp,20,0.01596866794042632,0.9544083454326294,39,0.9840356066036745,0.020598306552914843,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MassiveScenarioClassification,Classification,accuracy,gp,20,0.02856841984320377,0.9429142976375976,39,0.992908497035274,0.014697747357398516,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MultiHateClassification,Classification,accuracy,gp,20,0.10039727118418497,0.8165253374115283,39,0.687910015675428,0.011752103099028034,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MultilingualSentimentClassification,Classification,accuracy,gp,20,0.033934440801911,0.9376419830211473,38,0.9409189520223235,0.018142235985223944,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| OnlineStoreReviewSentimentClassification.v2,Classification,accuracy,gp,20,0.005453490008723409,1.0445722550339769,37,0.8631409644092731,0.01852085332591629,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| RestaurantReviewSentimentClassification.v2,Classification,accuracy,gp,20,0.015547731827776306,0.9528085769632959,37,0.9634936352598651,0.016571143713047784,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| SIB200Classification,Classification,accuracy,gp,20,0.0541932124384664,0.9264898164704192,38,0.9893481893904619,0.015560417199697427,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| TweetEmotionClassification.v2,Classification,accuracy,gp,20,-0.004521855250693108,1.0150801533866587,37,0.9655162324302293,0.013581745332108396,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| TweetSarcasmClassification.v2,Classification,accuracy,gp,20,0.02930757733205409,1.018376887955956,37,0.9559836155962579,0.011146253540746394,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| TweetSentimentClassification,Classification,accuracy,gp,20,0.16128521203542198,0.6136502825533986,39,0.8870026969352819,0.01502586902291564,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| HUMESIB200ClusteringS2S,Clustering,v_measure,set_metric,20,-0.12071144512897956,1.1562991670419605,38,0.7202015769922498,0.1024956935289966,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| SIB200ClusteringS2S,Clustering,v_measure,set_metric,20,-0.5940525273828268,1.0,39,nan,0.1314604279074239,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| ArEntail,PairClassification,max_ap,set_metric,20,0.2151183004650125,0.7687681199990273,38,0.907151719621302,0.0322885431037558,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| XNLI,PairClassification,max_ap,set_metric,20,0.016625915236542964,0.9820284339280233,39,0.8422740486419579,0.0378671453190131,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MIRACLReranking,Reranking,NDCG@10(MIRACL),gp,20,0.014483288330603073,0.972518385973211,39,0.997020484502233,0.016023002577151925,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| NamaaMrTydiReranking,Reranking,map,gp,20,0.007740651723330801,0.9859423569239959,37,0.9918533629544977,0.01129971365236466,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| BelebeleRetrieval,Retrieval,ndcg_at_10,gp,20,-0.036662165967470295,0.9852491878067241,39,0.9967915416961053,0.015119695087019087,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MIRACLRetrievalHardNegatives.v2,Retrieval,ndcg_at_10,gp,20,-0.23552375166655282,1.1137703558626921,37,0.9806391773363975,0.03973896727318844,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MKQARetrieval,Retrieval,ndcg_at_10,gp,20,-0.0052170719215644265,0.6209942871732713,37,0.882149337232212,0.00780769050674943,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MLQARetrieval,Retrieval,ndcg_at_10,gp,20,-0.052005452664822975,0.8263423886434932,39,0.9870505095822283,0.026392446882603775,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MintakaRetrieval,Retrieval,ndcg_at_10,gp,20,-0.00667892174195429,0.7071450315086552,39,0.9603540476180972,0.020155571121621602,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| MultiLongDocRetrieval,Retrieval,ndcg_at_10,gp,20,-0.02133772031846184,0.8444325856168258,38,0.9886442216181289,0.012257573644913197,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| PublicHealthQA,Retrieval,ndcg_at_10,gp,20,-0.16769982435036318,1.1743788465754341,38,0.9895339937704518,0.026270365861893658,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| SadeemQuestionRetrieval,Retrieval,ndcg_at_10,gp,20,-0.16215818798420262,1.187082563296489,37,0.9632756195508246,0.0313090827698212,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| WebFAQRetrieval,Retrieval,ndcg_at_10,gp,20,-0.328955977849263,1.2371445101026757,37,0.9813259343682128,0.033362686455738595,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| XPQARetrieval,Retrieval,ndcg_at_10,gp,20,-0.02386605409508828,0.7355137081435483,39,0.979424846898983,0.01860592205976698,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| XQuADRetrieval,Retrieval,ndcg_at_10,gp,20,-0.4896098784240019,1.4847010982586575,39,0.9844531668278084,0.038948415124415284,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| HUMESTS22,STS,cosine_spearman,set_metric,20,0.10489268833762047,0.7883479463784814,38,0.886755014968879,0.03567586679849689,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| STS17,STS,cosine_spearman,set_metric,20,0.06674784346792093,0.970852391796408,39,0.8991695033002663,0.05914086289932037,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| STS22.v2,STS,cosine_spearman,set_metric,20,0.19714253373369275,0.7189490412709996,39,0.934734379222453,0.038908413529963666,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |
| SemRel24STS,STS,cosine_spearman,set_metric,20,0.4388504653595803,0.020428263978825745,39,0.04223840073672873,0.056939103841360535,models.csv rows with role_ara-super = selection+calibration+LOMO-held-out (those with a full score for this task) | |