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diff --git a/analyses_outputs/results_correlations/spearman_corr_matrix_datasets.csv b/analyses_outputs/results_correlations/spearman_corr_matrix_datasets.csv
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--- a/analyses_outputs/results_correlations/spearman_corr_matrix_datasets.csv
+++ b/analyses_outputs/results_correlations/spearman_corr_matrix_datasets.csv
@@ -1,27 +1,31 @@
-,AmazonReviewsClassification,MasakhaNEWSClassification,MassiveIntentClassification,MassiveScenarioClassification,MTOPDomainClassification,MTOPIntentClassification,AlloProfClusteringP2P,AlloProfClusteringS2S,HALClusteringS2S,MasakhaNEWSClusteringP2P,MasakhaNEWSClusteringS2S,MLSUMClusteringP2P,MLSUMClusteringS2S,OpusparcusPC,AlloprofReranking,SyntecReranking,AlloprofRetrieval,BSARDRetrieval,SyntecRetrieval,SICKFr,STS22,STSBenchmarkMultilingualSTS,SummEvalFr,DiaBLaBitextMining_fr-en,FloresBitextMining_fra_Latn-eng_Latn,FloresBitextMining_eng_Latn-fra_Latn
-AmazonReviewsClassification,1.0,0.7909214274324705,0.8822078322540857,0.8528522972556275,0.8539623805118717,0.848658649398705,0.7309898242368178,0.46654332408263954,0.656490903484428,0.7994449583718779,0.7411039161270428,0.604563675609004,0.7962380511871724,,0.8595520421607378,0.856675795591715,0.7791791301616953,0.4252094486373361,0.8168189310650857,0.856059204440333,0.7415972864631514,0.8188966669532207,0.29990749306197967,0.7420518675087476,0.7427670530693989,0.7503169688206008
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-MassiveIntentClassification,0.8822078322540857,0.7903663515710473,1.0,0.9805118717237126,0.9771816219549799,0.9459759481961147,0.5813752698119026,0.4375578168362627,0.6624113475177305,0.7716928769657724,0.7739130434782608,0.48800493370336107,0.8101757631822387,,0.8990777338603425,0.8817251562694418,0.8756360052268284,0.3703884319932219,0.8712365077098024,0.9025593586185631,0.7751464693185323,0.8776095474276495,0.09552883132901634,0.8245706007805815,0.8362652476887905,0.8551866648672679
-MassiveScenarioClassification,0.8528522972556275,0.7766744803226061,0.9805118717237126,1.0,0.9754548257786001,0.9315448658649399,0.5632439099599137,0.4604995374653099,0.6450200431699044,0.759481961147086,0.8047486894850447,0.47160037002775207,0.8215232809127351,,0.8865612648221344,0.8549482534760097,0.8578124522256625,0.33037539110929953,0.8553184410722323,0.8887449892075239,0.7692260252852298,0.8739708289948855,0.02053654024051804,0.8012581335333818,0.8186217345513107,0.8256397983496895
-MTOPDomainClassification,0.8539623805118717,0.7997409661195294,0.9771816219549799,0.9754548257786001,1.0,0.9506629663891458,0.6168979340117176,0.3953746530989824,0.651927227875424,0.7761332099907493,0.7919210607462226,0.5199506629663891,0.8126426148627813,,0.8822134387351779,0.888882116463078,0.8901908789578843,0.36049544393215766,0.888882116463078,0.8812210915818687,0.8143694110391613,0.8605877459455672,0.07012025901942645,0.799777976882766,0.8271949909350157,0.8240292773235741
-MTOPIntentClassification,0.848658649398705,0.7768595056097473,0.9459759481961147,0.9315448658649399,0.9506629663891458,1.0,0.6214616096207215,0.33629355534998456,0.6192414431082331,0.743940795559667,0.7673758865248227,0.5569534381745298,0.7848905334566759,,0.807905138339921,0.815955160007233,0.7852231031517101,0.35791192475697525,0.7927567373106191,0.8230033919210608,0.7615787850755473,0.7933639647300973,0.13080481036077707,0.7887384751969228,0.8235296132057505,0.8340021190622117
-AlloProfClusteringP2P,0.7309898242368178,0.7739607761112034,0.5813752698119026,0.5632439099599137,0.6168979340117176,0.6214616096207215,1.0,0.33863706444650016,0.540795559666975,0.7533148319457292,0.6641381436941104,0.8121492445266728,0.6125809435707678,,0.5920948616600791,0.6747285920483251,0.5594992139327924,0.13289370586486987,0.6746051961829177,0.5877890841813136,0.6584643848288622,0.5445743010390826,0.3551649707061363,0.4004440471853639,0.47817648105345967,0.44741512967813096
-AlloProfClusteringS2S,0.46654332408263954,0.21900826487934363,0.4375578168362627,0.4604995374653099,0.3953746530989824,0.33629355534998456,0.33863706444650016,1.0,0.7260561208757323,0.25353068146777674,0.5185938945420907,0.30434782608695654,0.6028368794326241,,0.3976284584980237,0.3267522515991158,0.2960313301231706,-0.005671139652839397,0.3147828526545862,0.41214924452667284,0.02263336416897934,0.41641740437325997,0.0030218933086648167,0.36522865353946177,0.37641565528165677,0.41433750552637655
-HALClusteringS2S,0.656490903484428,0.45590230751565985,0.6624113475177305,0.6450200431699044,0.651927227875424,0.6192414431082331,0.540795559666975,0.7260561208757323,1.0,0.42584027135368485,0.7044711686709837,0.5164970706136294,0.7666358310206599,,0.635441370223979,0.6262340169431694,0.5557371491124772,0.10611332417090605,0.6021718231887028,0.5729879740980574,0.354918285538082,0.615190107912214,0.09774899784150477,0.5133676649885984,0.5401772772196741,0.5644256765370523
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-MLSUMClusteringP2P,0.604563675609004,0.6519674367895076,0.48800493370336107,0.47160037002775207,0.5199506629663891,0.5569534381745298,0.8121492445266728,0.30434782608695654,0.5164970706136294,0.6513105149552884,0.6791859389454209,1.0,0.6826395312981807,,0.5088274044795784,0.4950642120149745,0.4581701565593822,0.18437505138008972,0.45964959864301597,0.3639222941720629,0.44705519580635217,0.3010268588189991,0.26463151403021895,0.3195904901454729,0.43176907149818694,0.4103112029610881
-MLSUMClusteringS2S,0.7962380511871724,0.637350439105361,0.8101757631822387,0.8215232809127351,0.8126426148627813,0.7848905334566759,0.6125809435707678,0.6028368794326241,0.7666358310206599,0.6175146469318532,0.8802343509096515,0.6826395312981807,1.0,,0.7748353096179184,0.7057626521983167,0.6880261497612691,0.2679928549280662,0.6875000641180036,0.7133518347209374,0.5211840888066605,0.6827222550965623,0.11501695960530373,0.6846341241036077,0.7546329369048168,0.7646877718228612
-OpusparcusPC,,,,,,,,,,,,,,,,,,,,,,,,,,
-AlloprofReranking,0.8595520421607378,0.8003162281021552,0.8990777338603425,0.8865612648221344,0.8822134387351779,0.807905138339921,0.5920948616600791,0.3976284584980237,0.635441370223979,0.8011857707509882,0.752832674571805,0.5088274044795784,0.7748353096179184,,1.0,0.9204508987188864,0.9004249156701347,0.41174096035965213,0.8948791567238321,0.8312252964426877,0.7351778656126482,0.812674989735644,0.11897233201581027,0.7197206763020356,0.7610112708914755,0.7617300386255176
-SyntecReranking,0.856675795591715,0.8488308103127057,0.8817251562694418,0.8549482534760097,0.888882116463078,0.815955160007233,0.6747285920483251,0.3267522515991158,0.6262340169431694,0.8153381806801955,0.7025543596977212,0.4950642120149745,0.7057626521983167,,0.9204508987188864,1.0,0.9061854808656661,0.3949133466980194,0.9662983766434171,0.8838228859813696,0.8529739196294893,0.839919857767026,0.25240624269108436,0.6883850623012349,0.7323356369310565,0.7264108689078868
-AlloprofRetrieval,0.7791791301616953,0.8479662014085485,0.8756360052268284,0.8578124522256625,0.8901908789578843,0.7852231031517101,0.5594992139327924,0.2960313301231706,0.5557371491124772,0.7955225265122453,0.6939467763637325,0.4581701565593822,0.6880261497612691,,0.9004249156701347,0.9061854808656661,1.0,0.4724835153033874,0.9403671896148714,0.8114958837001415,0.8159980268457646,0.7697051930430492,0.040334268729281995,0.6289934624398668,0.6540105291137699,0.6417504748861685
-BSARDRetrieval,0.4252094486373361,0.3490801745215216,0.3703884319932219,0.33037539110929953,0.36049544393215766,0.35791192475697525,0.13289370586486987,-0.005671139652839397,0.10611332417090605,0.3142441494301119,0.22514424421772405,0.18437505138008972,0.2679928549280662,,0.41174096035965213,0.3949133466980194,0.4724835153033874,1.0,0.4130057931027335,0.3214906056531845,0.3528078990694198,0.21853465338385536,0.20724864797987527,0.3640353784886195,0.3170957885009219,0.30733817974856903
-SyntecRetrieval,0.8168189310650857,0.8657370865375862,0.8712365077098024,0.8553184410722323,0.888882116463078,0.7927567373106191,0.6746051961829177,0.3147828526545862,0.6021718231887028,0.7934971125030642,0.7135365917189905,0.45964959864301597,0.6875000641180036,,0.8948791567238321,0.9662983766434171,0.9403671896148714,0.4130057931027335,1.0,0.8790104472304763,0.8753085712682507,0.8378220633672553,0.19749508258473747,0.6625945311511124,0.703621467003012,0.6926992571790102
-SICKFr,0.856059204440333,0.7608856558198993,0.9025593586185631,0.8887449892075239,0.8812210915818687,0.8230033919210608,0.5877890841813136,0.41214924452667284,0.5729879740980574,0.732099907493062,0.6761023743447425,0.3639222941720629,0.7133518347209374,,0.8312252964426877,0.8838228859813696,0.8114958837001415,0.3214906056531845,0.8790104472304763,1.0,0.7880974406413814,0.9584014312737649,0.251063829787234,0.7714083077459621,0.7697293231456886,0.7906419375898744
-STS22,0.7415972864631514,0.8744911821245321,0.7751464693185323,0.7692260252852298,0.8143694110391613,0.7615787850755473,0.6584643848288622,0.02263336416897934,0.354918285538082,0.8143694110391613,0.57631822386679,0.44705519580635217,0.5211840888066605,,0.7351778656126482,0.8529739196294893,0.8159980268457646,0.3528078990694198,0.8753085712682507,0.7880974406413814,1.0,0.7460606251041656,0.12784458834412582,0.5951463199351242,0.6311283449424577,0.5957688934299132
-STSBenchmarkMultilingualSTS,0.8188966669532207,0.6855089897483589,0.8776095474276495,0.8739708289948855,0.8605877459455672,0.7933639647300973,0.5445743010390826,0.41641740437325997,0.615190107912214,0.6708193286978598,0.6578062848111954,0.3010268588189991,0.6827222550965623,,0.812674989735644,0.839919857767026,0.7697051930430492,0.21853465338385536,0.8378220633672553,0.9584014312737649,0.7460606251041656,1.0,0.1638040026681544,0.7548723325521155,0.7392487209959863,0.7617999363079248
-SummEvalFr,0.29990749306197967,0.21660293614650938,0.09552883132901634,0.02053654024051804,0.07012025901942645,0.13080481036077707,0.3551649707061363,0.0030218933086648167,0.09774899784150477,0.23379586802343508,0.15522664199814987,0.26463151403021895,0.11501695960530373,,0.11897233201581027,0.25240624269108436,0.040334268729281995,0.20724864797987527,0.19749508258473747,0.251063829787234,0.12784458834412582,0.1638040026681544,1.0,0.11187517350904823,0.1568036167570394,0.1974127119319124
-DiaBLaBitextMining_fr-en,0.7420518675087476,0.5090202611357422,0.8245706007805815,0.8012581335333818,0.799777976882766,0.7887384751969228,0.4004440471853639,0.36522865353946177,0.5133676649885984,0.5043633786973519,0.5516667183232836,0.3195904901454729,0.6846341241036077,,0.7197206763020356,0.6883850623012349,0.6289934624398668,0.3640353784886195,0.6625945311511124,0.7714083077459621,0.5951463199351242,0.7548723325521155,0.11187517350904823,1.0,0.9255674800738048,0.9207508743926649
-FloresBitextMining_fra_Latn-eng_Latn,0.7427670530693989,0.6076514907416821,0.8362652476887905,0.8186217345513107,0.8271949909350157,0.8235296132057505,0.47817648105345967,0.37641565528165677,0.5401772772196741,0.5765825543272911,0.6287054681383671,0.43176907149818694,0.7546329369048168,,0.7610112708914755,0.7323356369310565,0.6540105291137699,0.3170957885009219,0.703621467003012,0.7697293231456886,0.6311283449424577,0.7392487209959863,0.1568036167570394,0.9255674800738048,1.0,0.9755751426468102
-FloresBitextMining_eng_Latn-fra_Latn,0.7503169688206008,0.5962392672245183,0.8551866648672679,0.8256397983496895,0.8240292773235741,0.8340021190622117,0.44741512967813096,0.41433750552637655,0.5644256765370523,0.5649212214681648,0.6415448564414236,0.4103112029610881,0.7646877718228612,,0.7617300386255176,0.7264108689078868,0.6417504748861685,0.30733817974856903,0.6926992571790102,0.7906419375898744,0.5957688934299132,0.7617999363079248,0.1974127119319124,0.9207508743926649,0.9755751426468102,1.0
+,STSBenchmarkMultilingualSTS_test,BSARDRetrieval_test,HALClusteringS2S_test,DiaBlaBitextMining_test_fr-en,MasakhaNEWSClusteringP2P_test,MasakhaNEWSClusteringS2S_test,SICKFr_test,MassiveScenarioClassification_test,MintakaRetrieval_test,PawsX_test,AmazonReviewsClassification_test,AlloprofReranking_test,AlloProfClusteringP2P_test,STS22_test,MLSUMClusteringS2S_test,AlloProfClusteringS2S_test,SyntecRetrieval_test,MLSUMClusteringP2P_test,FloresBitextMining_dev_eng_Latn-fra_Latn,FloresBitextMining_dev_fra_Latn-eng_Latn,MTOPIntentClassification_test,MTOPDomainClassification_test,SummEvalFr_test,SyntecReranking_test,MasakhaNEWSClassification_test,MassiveIntentClassification_test,OpusparcusPC_test.full,OpusparcusPC_validation.full,XPQARetrieval_test,AlloprofRetrieval_test
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diff --git a/analyses_outputs/results_correlations/spearman_corr_matrix_models.csv b/analyses_outputs/results_correlations/spearman_corr_matrix_models.csv
index d138f93a..5311c36a 100644
--- a/analyses_outputs/results_correlations/spearman_corr_matrix_models.csv
+++ b/analyses_outputs/results_correlations/spearman_corr_matrix_models.csv
@@ -1,47 +1,51 @@
-model,Cohere-embed-multilingual-light-v3.0,Cohere-embed-multilingual-v3.0,bert-base-10lang-cased,bert-base-15lang-cased,bert-base-25lang-cased,distilbert-base-25lang-cased,distilbert-base-en-fr-cased,distilbert-base-en-fr-es-pt-it-cased,distilbert-base-fr-cased,sentence-croissant-llm-base,bert-base-multilingual-cased,bert-base-multilingual-uncased,camembert-base,camembert-large,sentence-camembert-base,sentence-camembert-large,distilbert-base-uncased,flaubert_base_cased,flaubert_base_uncased,flaubert_large_cased,e5-mistral-7b-instruct,multilingual-e5-base,multilingual-e5-large,multilingual-e5-small,udever-bloom-1b1,udever-bloom-560m,laser2,LaBSE,all-MiniLM-L12-v2,all-MiniLM-L6-v2,distiluse-base-multilingual-cased-v2,multi-qa-MiniLM-L6-cos-v1,paraphrase-multilingual-MiniLM-L12-v2,paraphrase-multilingual-mpnet-base-v2,sentence-t5-base,sentence-t5-large,sentence-t5-xl,sentence-t5-xxl,text2vec-base-multilingual,text-embedding-ada-002,voyage-2,voyage-code-2,universal-sentence-encoder-multilingual-3,universal-sentence-encoder-multilingual-large-3,xlm-roberta-base,xlm-roberta-large
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-bert-base-multilingual-uncased,0.8716019959836953,0.8747863833574661,0.9664957264957265,0.9664957264957265,0.9651282051282051,0.9425641025641026,0.945982905982906,0.9405128205128205,0.9411965811965812,0.8777568943468599,0.9644444444444444,1.0,0.718974358974359,0.8283760683760684,0.8858119658119659,0.8782905982905983,0.5466666666666666,0.7668376068376068,0.6745299145299145,0.6574358974358975,0.8345299145299145,0.858608321661459,0.8275746035751703,0.8597333521225312,0.9254700854700855,0.8488888888888889,0.8816286702824365,0.8775232981274542,0.8482051282051282,0.8229059829059829,0.8597333521225312,0.803076923076923,0.8618803418803419,0.8603180156512269,0.9008547008547009,0.8933333333333333,0.872627812377556,0.8160683760683761,0.8687179487179487,0.806923076923077,0.8482051282051282,0.8393162393162393,0.8652071816625075,0.8645229529700105,0.8810256410256411,0.8235897435897436
-camembert-base,0.5453923827359726,0.5100924902565436,0.736068376068376,0.736068376068376,0.7374358974358974,0.7661538461538462,0.7743589743589744,0.7668376068376068,0.7866666666666666,0.5310309532219218,0.7367521367521368,0.718974358974359,1.0,0.935042735042735,0.6321367521367521,0.5603418803418804,0.8646153846153846,0.7777777777777778,0.8003418803418804,0.8454700854700855,0.772991452991453,0.4920499302552128,0.46561762524423594,0.4772495130166856,0.7517948717948718,0.8092307692307692,0.5798838168912417,0.5265139788764726,0.7162393162393162,0.7675213675213676,0.5114609476415376,0.7408547008547008,0.532991452991453,0.5088049313549386,0.5993162393162393,0.556923076923077,0.530005136828061,0.4358974358974359,0.5466666666666666,0.39615384615384613,0.556923076923077,0.49675213675213675,0.49093408686662643,0.47588105563169153,0.7586324786324786,0.8181196581196581
-camembert-large,0.6353222865977661,0.6120425654386026,0.8365811965811966,0.8365811965811966,0.8386324786324786,0.8611965811965812,0.8673504273504273,0.8618803418803419,0.8748717948717949,0.6489998385159097,0.8372649572649573,0.8283760683760684,0.935042735042735,1.0,0.7073504273504273,0.6629059829059829,0.8181196581196581,0.7613675213675214,0.7791452991452992,0.7647863247863248,0.8352136752136752,0.599760651610593,0.5600411848088275,0.585357646431218,0.8331623931623932,0.8194871794871795,0.6606228026058925,0.6277798253660345,0.80991452991453,0.8311111111111111,0.6120425654386026,0.7948717948717948,0.6348717948717949,0.609676876751247,0.6902564102564103,0.6601709401709401,0.6305351434264159,0.5446153846153846,0.6362393162393163,0.5176923076923077,0.6895726495726495,0.6198290598290598,0.6175163949785789,0.618200623671076,0.770940170940171,0.8215384615384616
-sentence-camembert-base,0.9317832244235268,0.9233666205247559,0.8475213675213675,0.8475213675213675,0.8427350427350427,0.8386324786324786,0.8509401709401709,0.8441025641025641,0.8304273504273504,0.9283638364439909,0.852991452991453,0.8858119658119659,0.6321367521367521,0.7073504273504273,1.0,0.9733333333333334,0.4379487179487179,0.6861538461538461,0.6273504273504273,0.4947008547008547,0.8345299145299145,0.920841182889012,0.9213139344472648,0.9103662753673122,0.8598290598290599,0.7675213675213676,0.8542595225825549,0.8918921006698921,0.9117948717948718,0.8926495726495727,0.9158401049072885,0.8878632478632479,0.9282051282051282,0.9437510823519023,0.9487179487179487,0.9452991452991453,0.9451188375437167,0.9158974358974359,0.9193162393162393,0.8984615384615384,0.935042735042735,0.9466666666666667,0.8946290154398803,0.890523643284898,0.7668376068376068,0.6991452991452991
-sentence-camembert-large,0.9741836353697716,0.974683772462034,0.8147008547008547,0.8147008547008547,0.8085470085470086,0.7825641025641026,0.7955555555555556,0.788034188034188,0.7757264957264958,0.9789707785411219,0.8201709401709402,0.8782905982905983,0.5603418803418804,0.6629059829059829,0.9733333333333334,1.0,0.35863247863247866,0.6300854700854701,0.5637606837606838,0.4147008547008547,0.8215384615384616,0.9734997577738644,0.9678414855370635,0.9644203420745784,0.8427350427350427,0.7066666666666667,0.8672598677399986,0.940472337837182,0.8823931623931623,0.8687179487179487,0.9637361133820813,0.865982905982906,0.9555555555555556,0.9758933293595395,0.9794871794871794,0.9822222222222222,0.9820482277227042,0.9664957264957265,0.9364102564102564,0.9561538461538461,0.9268376068376069,0.9644444444444444,0.9527884543021287,0.9486830821471465,0.7230769230769231,0.6485470085470085
-distilbert-base-uncased,0.3217644088743261,0.296613138197467,0.6095726495726496,0.6095726495726496,0.6075213675213675,0.6321367521367521,0.6294017094017094,0.6335042735042735,0.6594871794871795,0.3217644088743261,0.610940170940171,0.5466666666666666,0.8646153846153846,0.8181196581196581,0.4379487179487179,0.35863247863247866,1.0,0.7087179487179487,0.7832478632478632,0.814017094017094,0.6335042735042735,0.29919644820938934,0.2548751879551475,0.279507420885041,0.5261538461538462,0.6895726495726495,0.3609306352921888,0.2849812504250173,0.5302564102564102,0.5555555555555556,0.29113930865749066,0.5617094017094018,0.3558974358974359,0.3371516547822376,0.39076923076923076,0.36615384615384616,0.3357838995904232,0.27384615384615385,0.3476923076923077,0.22538461538461538,0.39418803418803416,0.3128205128205128,0.2658228470351002,0.2952446808124729,0.5835897435897436,0.7032478632478633
-flaubert_base_cased,0.6770388199481039,0.5805680455837388,0.7121367521367521,0.7121367521367521,0.7107692307692308,0.7415384615384616,0.7504273504273504,0.7401709401709402,0.7552136752136752,0.6004445292065002,0.7107692307692308,0.7668376068376068,0.7777777777777778,0.7613675213675214,0.6861538461538461,0.6300854700854701,0.7087179487179487,1.0,0.9398290598290598,0.8639316239316239,0.7935042735042735,0.576508813349749,0.5313035797239518,0.5887787898937032,0.8058119658119658,0.9596581196581196,0.5456723822663897,0.551146211806366,0.7176068376068376,0.7442735042735042,0.5429354674964015,0.7606837606837606,0.5596581196581196,0.570695853784538,0.705982905982906,0.6608547008547009,0.6093349379532934,0.522051282051282,0.6,0.48846153846153845,0.6608547008547009,0.5917948717948718,0.5456723822663897,0.499829059869088,0.8858119658119659,0.9268376068376069
-flaubert_base_uncased,0.6018122843983146,0.5141978624115258,0.6246153846153846,0.6246153846153846,0.6232478632478633,0.6588034188034187,0.6656410256410257,0.6567521367521367,0.6724786324786325,0.5436826887462046,0.6225641025641026,0.6745299145299145,0.8003418803418804,0.7791452991452992,0.6273504273504273,0.5637606837606838,0.7832478632478632,0.9398290598290598,1.0,0.8714529914529915,0.7483760683760684,0.5231663608689894,0.47451259824669745,0.5237770641064844,0.7107692307692308,0.9083760683760683,0.47382836955420043,0.47588105563169153,0.7094017094017094,0.7155555555555555,0.4751968269391945,0.7456410256410256,0.5076923076923077,0.5060694209713099,0.6328205128205128,0.5965811965811966,0.5529150362909515,0.4728205128205128,0.5241025641025641,0.43846153846153846,0.6095726495726496,0.55008547008547,0.47109145478421227,0.4293535045418928,0.8023931623931624,0.9131623931623931
-flaubert_large_cased,0.44486237613761775,0.3869313256070763,0.6444444444444445,0.6444444444444445,0.6437606837606837,0.6649572649572649,0.6629059829059829,0.6560683760683761,0.6882051282051282,0.38810053567732217,0.6355555555555555,0.6574358974358975,0.8454700854700855,0.7647863247863248,0.4947008547008547,0.4147008547008547,0.814017094017094,0.8639316239316239,0.8714529914529915,1.0,0.6724786324786325,0.36895196299192123,0.3260349719748397,0.382141724759597,0.6690598290598291,0.8441025641025641,0.4211427602319283,0.37872058129711184,0.5835897435897436,0.5883760683760684,0.34724606144224796,0.612991452991453,0.37094017094017095,0.36279706462875666,0.49811965811965814,0.4495726495726496,0.4120362515340733,0.31555555555555553,0.4099145299145299,0.30538461538461537,0.4605128205128205,0.40102564102564103,0.3561410344447095,0.31440308420239005,0.7524786324786324,0.8358974358974359
-e5-mistral-7b-instruct,0.8206531150886107,0.7735205368679041,0.764102564102564,0.764102564102564,0.76,0.7921367521367522,0.8044444444444444,0.7928205128205128,0.8085470085470086,0.80629168557456,0.7647863247863248,0.8345299145299145,0.772991452991453,0.8352136752136752,0.8345299145299145,0.8215384615384616,0.6335042735042735,0.7935042735042735,0.7483760683760684,0.6724786324786325,1.0,0.7440588243470071,0.721519156238129,0.7482040752455136,0.9357264957264957,0.803076923076923,0.6654124034533717,0.7331510440105787,0.8878632478632479,0.9145299145299145,0.7338352727030758,0.9398290598290598,0.7073504273504273,0.725936068055467,0.8543589743589743,0.8126495726495726,0.7919302560605094,0.7299145299145299,0.7100854700854701,0.7092307692307692,0.8468376068376068,0.8037606837606838,0.7482040752455136,0.7208349275456319,0.7326495726495726,0.7401709401709402
-multilingual-e5-base,0.9726402188782489,0.9912747242380414,0.7785946429403194,0.7785946429403194,0.7724397445771548,0.7180714757025344,0.7310651500247707,0.7221747412779774,0.7091810669557411,0.9870041039671683,0.7826979085157625,0.858608321661459,0.4920499302552128,0.599760651610593,0.920841182889012,0.9734997577738644,0.29919644820938934,0.576508813349749,0.5231663608689894,0.36895196299192123,0.7440588243470071,1.0,0.9926434156073726,0.9885373414993793,0.7813301533239482,0.6595999412524709,0.8975193654388618,0.9625322054820886,0.822020870280425,0.7840656637075768,0.9796408475987272,0.7936399500502773,0.965635165420932,0.9799931600547196,0.958112511865953,0.9806804725308899,0.9858071135430917,0.983074044116565,0.9468285315334847,0.9601846686561277,0.8746794451652776,0.9410155719682737,0.9659539339054163,0.9680069709594129,0.7098649445516483,0.6233544286693906
-multilingual-e5-large,0.960479168428092,0.984936665525505,0.7488883039380106,0.7488883039380106,0.7420460170130403,0.68662349292078,0.7009922954632178,0.6914130937682592,0.6756758338408273,0.9748504278060683,0.7536779047854899,0.8275746035751703,0.46561762524423594,0.5600411848088275,0.9213139344472648,0.9678414855370635,0.2548751879551475,0.5313035797239518,0.47451259824669745,0.3260349719748397,0.721519156238129,0.9926434156073726,1.0,0.9774049982882574,0.755046362170484,0.61956908105607,0.8883943854844232,0.9513865114686751,0.8138900297252295,0.7748889942528981,0.9719274221157138,0.7830997385628626,0.9562095977646139,0.9762191191753995,0.9370511943746967,0.9644203420745784,0.9769034648600651,0.9794733733095132,0.9391038804521878,0.9607393147033387,0.8706810112024839,0.9391038804521878,0.9520712084902431,0.9561793906196508,0.668833546915857,0.5696203865037861
-multilingual-e5-small,0.9666382795900819,0.9808284833960972,0.770783622097916,0.770783622097916,0.7646255638654426,0.7105714971581764,0.7242560710081172,0.7139926406206616,0.7009922954632178,0.984431267391386,0.7742047655604012,0.8597333521225312,0.4772495130166856,0.585357646431218,0.9103662753673122,0.9644203420745784,0.279507420885041,0.5887787898937032,0.5237770641064844,0.382141724759597,0.7482040752455136,0.9885373414993793,0.9774049982882574,1.0,0.7817312811778686,0.669517775608354,0.9014036288942143,0.9719274221157138,0.788573568102839,0.7584675056329692,0.9753509072235536,0.7680467073279278,0.9609991986120932,0.9707443536980751,0.958262283842105,0.9712626289995487,0.9769034648600651,0.9698941716145547,0.9541569116871228,0.9568901988591747,0.8453645495800933,0.9199454770622707,0.9712427250941459,0.968503937007874,0.720150698853135,0.6223059958260582
-udever-bloom-1b1,0.858608321661459,0.8145742584177266,0.8639316239316239,0.8639316239316239,0.8632478632478633,0.8905982905982905,0.9001709401709401,0.8885470085470085,0.8947008547008547,0.8374081161883365,0.8618803418803419,0.9254700854700855,0.7517948717948718,0.8331623931623932,0.8598290598290599,0.8427350427350427,0.5261538461538462,0.8058119658119658,0.7107692307692308,0.6690598290598291,0.9357264957264957,0.7813301533239482,0.755046362170484,0.7817312811778686,1.0,0.8557264957264957,0.7598359630179633,0.7995212271827916,0.8940170940170941,0.9022222222222223,0.7837839672553597,0.8960683760683761,0.749059829059829,0.7560266822753826,0.8899145299145299,0.8461538461538461,0.8196272986947499,0.7429059829059829,0.762051282051282,0.7307692307692307,0.8680341880341881,0.8208547008547008,0.7926789402578213,0.7632571064804485,0.8495726495726496,0.8160683760683761
-udever-bloom-560m,0.7382458647817961,0.6674650895308628,0.827008547008547,0.827008547008547,0.8276923076923077,0.8495726495726496,0.8557264957264957,0.8468376068376068,0.8564102564102564,0.6876389226846651,0.8242735042735043,0.8488888888888889,0.8092307692307692,0.8194871794871795,0.7675213675213676,0.7066666666666667,0.6895726495726495,0.9596581196581196,0.9083760683760683,0.8441025641025641,0.803076923076923,0.6595999412524709,0.61956908105607,0.669517775608354,0.8557264957264957,1.0,0.6613070312983895,0.6483066861409457,0.7955555555555556,0.788034188034188,0.635990569675999,0.7825641025641026,0.6663247863247863,0.6613096352422388,0.7723076923076924,0.7353846153846154,0.6907163718662473,0.6054700854700855,0.6936752136752137,0.5623076923076923,0.731965811965812,0.6745299145299145,0.6387274844459871,0.5969895342036677,0.9494017094017094,0.9446153846153846
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diff --git a/analyses_outputs/statistical_tests/conover_friedman.pdf b/analyses_outputs/statistical_tests/conover_friedman.pdf
index 30cefe20..a1f9a0ec 100644
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diff --git a/analyses_outputs/statistical_tests/conover_friedman.png b/analyses_outputs/statistical_tests/conover_friedman.png
index b5eaf06f..57271a5f 100644
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diff --git a/analyses_outputs/statistical_tests/critical_difference_diagram.pdf b/analyses_outputs/statistical_tests/critical_difference_diagram.pdf
index 24b199cf..75e168b1 100644
Binary files a/analyses_outputs/statistical_tests/critical_difference_diagram.pdf and b/analyses_outputs/statistical_tests/critical_difference_diagram.pdf differ
diff --git a/analyses_outputs/statistical_tests/critical_difference_diagram.png b/analyses_outputs/statistical_tests/critical_difference_diagram.png
index b735f4ef..7650efe3 100644
Binary files a/analyses_outputs/statistical_tests/critical_difference_diagram.png and b/analyses_outputs/statistical_tests/critical_difference_diagram.png differ
diff --git a/rename_DiaBLaBitextMining_files.sh b/rename_DiaBLaBitextMining_files.sh
new file mode 100644
index 00000000..f1de2560
--- /dev/null
+++ b/rename_DiaBLaBitextMining_files.sh
@@ -0,0 +1,7 @@
+for f in results/*/*/DiaBLa*; do
+    mv "$f" "${f/DiaBLa/DiaBla}"
+done   
+
+for f in results/*/DiaBLa*; do
+    mv "$f" "${f/DiaBLa/DiaBla}"
+done  
\ No newline at end of file
diff --git a/requirements.analysis.txt b/requirements.analysis.txt
index 8181ede9..b9e9d53e 100644
--- a/requirements.analysis.txt
+++ b/requirements.analysis.txt
@@ -1,5 +1,6 @@
 # This environment is dedicated to result analysis
-mteb @ git+https://github.com/Lyon-NLP/mteb-french.git #removing the other mteb above for now (to adapt when mteb-french gets merged)
+#mteb @ git+https://github.com/Lyon-NLP/mteb-french.git #removing the other mteb above for now (to adapt when mteb-french gets merged)
+mteb==1.7.56
 matplotlib>=3.8.2
 openpyxl>=3.1.2
 pandas>=2.1.3
diff --git a/results/Geotrend/bert-base-10lang-cased/DiaBLaBitextMining.json b/results/Geotrend/bert-base-10lang-cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/Geotrend/bert-base-10lang-cased/DiaBLaBitextMining.json
rename to results/Geotrend/bert-base-10lang-cased/DiaBlaBitextMining.json
diff --git a/results/Geotrend/bert-base-15lang-cased/DiaBLaBitextMining.json b/results/Geotrend/bert-base-15lang-cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/Geotrend/bert-base-15lang-cased/DiaBLaBitextMining.json
rename to results/Geotrend/bert-base-15lang-cased/DiaBlaBitextMining.json
diff --git a/results/Geotrend/bert-base-25lang-cased/DiaBLaBitextMining.json b/results/Geotrend/bert-base-25lang-cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/Geotrend/bert-base-25lang-cased/DiaBLaBitextMining.json
rename to results/Geotrend/bert-base-25lang-cased/DiaBlaBitextMining.json
diff --git a/results/Geotrend/distilbert-base-25lang-cased/DiaBLaBitextMining.json b/results/Geotrend/distilbert-base-25lang-cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/Geotrend/distilbert-base-25lang-cased/DiaBLaBitextMining.json
rename to results/Geotrend/distilbert-base-25lang-cased/DiaBlaBitextMining.json
diff --git a/results/Geotrend/distilbert-base-en-fr-cased/DiaBLaBitextMining.json b/results/Geotrend/distilbert-base-en-fr-cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/Geotrend/distilbert-base-en-fr-cased/DiaBLaBitextMining.json
rename to results/Geotrend/distilbert-base-en-fr-cased/DiaBlaBitextMining.json
diff --git a/results/Geotrend/distilbert-base-en-fr-es-pt-it-cased/DiaBLaBitextMining.json b/results/Geotrend/distilbert-base-en-fr-es-pt-it-cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/Geotrend/distilbert-base-en-fr-es-pt-it-cased/DiaBLaBitextMining.json
rename to results/Geotrend/distilbert-base-en-fr-es-pt-it-cased/DiaBlaBitextMining.json
diff --git a/results/Geotrend/distilbert-base-fr-cased/DiaBLaBitextMining.json b/results/Geotrend/distilbert-base-fr-cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/Geotrend/distilbert-base-fr-cased/DiaBLaBitextMining.json
rename to results/Geotrend/distilbert-base-fr-cased/DiaBlaBitextMining.json
diff --git a/results/Lajavaness/sentence-camembert-large/FloresBitextMining.json b/results/Lajavaness/sentence-camembert-large/FloresBitextMining.json
new file mode 100644
index 00000000..877b339f
--- /dev/null
+++ b/results/Lajavaness/sentence-camembert-large/FloresBitextMining.json
@@ -0,0 +1,22 @@
+{
+  "dataset_revision": "80dc3040d19756742c9a18267ab30f54fb8e226b",
+  "dev": {
+    "eng_Latn-fra_Latn": {
+      "accuracy": 0.9979939819458375,
+      "f1": 0.9973253092611166,
+      "main_score": 0.9973253092611166,
+      "precision": 0.9969909729187563,
+      "recall": 0.9979939819458375
+    },
+    "evaluation_time": 154.02,
+    "fra_Latn-eng_Latn": {
+      "accuracy": 0.9939819458375125,
+      "f1": 0.9919759277833501,
+      "main_score": 0.9919759277833501,
+      "precision": 0.9909729187562688,
+      "recall": 0.9939819458375125
+    }
+  },
+  "mteb_dataset_name": "FloresBitextMining",
+  "mteb_version": "1.7.56"
+}
\ No newline at end of file
diff --git a/results/Wissam42/sentence-croissant-llm-base/DiaBLaBitextMining.json b/results/Wissam42/sentence-croissant-llm-base/DiaBlaBitextMining.json
similarity index 100%
rename from results/Wissam42/sentence-croissant-llm-base/DiaBLaBitextMining.json
rename to results/Wissam42/sentence-croissant-llm-base/DiaBlaBitextMining.json
diff --git a/results/bert-base-multilingual-cased/DiaBLaBitextMining.json b/results/bert-base-multilingual-cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/bert-base-multilingual-cased/DiaBLaBitextMining.json
rename to results/bert-base-multilingual-cased/DiaBlaBitextMining.json
diff --git a/results/bert-base-multilingual-uncased/DiaBLaBitextMining.json b/results/bert-base-multilingual-uncased/DiaBlaBitextMining.json
similarity index 100%
rename from results/bert-base-multilingual-uncased/DiaBLaBitextMining.json
rename to results/bert-base-multilingual-uncased/DiaBlaBitextMining.json
diff --git a/results/camembert/camembert-base/DiaBLaBitextMining.json b/results/camembert/camembert-base/DiaBlaBitextMining.json
similarity index 100%
rename from results/camembert/camembert-base/DiaBLaBitextMining.json
rename to results/camembert/camembert-base/DiaBlaBitextMining.json
diff --git a/results/camembert/camembert-large/DiaBLaBitextMining.json b/results/camembert/camembert-large/DiaBlaBitextMining.json
similarity index 100%
rename from results/camembert/camembert-large/DiaBLaBitextMining.json
rename to results/camembert/camembert-large/DiaBlaBitextMining.json
diff --git a/results/dangvantuan/sentence-camembert-base/DiaBLaBitextMining.json b/results/dangvantuan/sentence-camembert-base/DiaBlaBitextMining.json
similarity index 100%
rename from results/dangvantuan/sentence-camembert-base/DiaBLaBitextMining.json
rename to results/dangvantuan/sentence-camembert-base/DiaBlaBitextMining.json
diff --git a/results/dangvantuan/sentence-camembert-large/DiaBLaBitextMining.json b/results/dangvantuan/sentence-camembert-large/DiaBlaBitextMining.json
similarity index 100%
rename from results/dangvantuan/sentence-camembert-large/DiaBLaBitextMining.json
rename to results/dangvantuan/sentence-camembert-large/DiaBlaBitextMining.json
diff --git a/results/distilbert-base-uncased/DiaBLaBitextMining.json b/results/distilbert-base-uncased/DiaBlaBitextMining.json
similarity index 100%
rename from results/distilbert-base-uncased/DiaBLaBitextMining.json
rename to results/distilbert-base-uncased/DiaBlaBitextMining.json
diff --git a/results/embed-multilingual-light-v3.0/DiaBLaBitextMining.json b/results/embed-multilingual-light-v3.0/DiaBlaBitextMining.json
similarity index 100%
rename from results/embed-multilingual-light-v3.0/DiaBLaBitextMining.json
rename to results/embed-multilingual-light-v3.0/DiaBlaBitextMining.json
diff --git a/results/embed-multilingual-v3.0/DiaBLaBitextMining.json b/results/embed-multilingual-v3.0/DiaBlaBitextMining.json
similarity index 100%
rename from results/embed-multilingual-v3.0/DiaBLaBitextMining.json
rename to results/embed-multilingual-v3.0/DiaBlaBitextMining.json
diff --git a/results/flaubert/flaubert_base_cased/DiaBLaBitextMining.json b/results/flaubert/flaubert_base_cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/flaubert/flaubert_base_cased/DiaBLaBitextMining.json
rename to results/flaubert/flaubert_base_cased/DiaBlaBitextMining.json
diff --git a/results/flaubert/flaubert_base_uncased/DiaBLaBitextMining.json b/results/flaubert/flaubert_base_uncased/DiaBlaBitextMining.json
similarity index 100%
rename from results/flaubert/flaubert_base_uncased/DiaBLaBitextMining.json
rename to results/flaubert/flaubert_base_uncased/DiaBlaBitextMining.json
diff --git a/results/flaubert/flaubert_large_cased/DiaBLaBitextMining.json b/results/flaubert/flaubert_large_cased/DiaBlaBitextMining.json
similarity index 100%
rename from results/flaubert/flaubert_large_cased/DiaBLaBitextMining.json
rename to results/flaubert/flaubert_large_cased/DiaBlaBitextMining.json
diff --git a/results/intfloat/e5-mistral-7b-instruct/DiaBLaBitextMining.json b/results/intfloat/e5-mistral-7b-instruct/DiaBlaBitextMining.json
similarity index 100%
rename from results/intfloat/e5-mistral-7b-instruct/DiaBLaBitextMining.json
rename to results/intfloat/e5-mistral-7b-instruct/DiaBlaBitextMining.json
diff --git a/results/intfloat/multilingual-e5-base/DiaBLaBitextMining.json b/results/intfloat/multilingual-e5-base/DiaBlaBitextMining.json
similarity index 100%
rename from results/intfloat/multilingual-e5-base/DiaBLaBitextMining.json
rename to results/intfloat/multilingual-e5-base/DiaBlaBitextMining.json
diff --git a/results/intfloat/multilingual-e5-large/DiaBLaBitextMining.json b/results/intfloat/multilingual-e5-large/DiaBlaBitextMining.json
similarity index 100%
rename from results/intfloat/multilingual-e5-large/DiaBLaBitextMining.json
rename to results/intfloat/multilingual-e5-large/DiaBlaBitextMining.json
diff --git a/results/intfloat/multilingual-e5-small/DiaBLaBitextMining.json b/results/intfloat/multilingual-e5-small/DiaBlaBitextMining.json
similarity index 100%
rename from results/intfloat/multilingual-e5-small/DiaBLaBitextMining.json
rename to results/intfloat/multilingual-e5-small/DiaBlaBitextMining.json
diff --git a/results/izhx/udever-bloom-1b1/DiaBLaBitextMining.json b/results/izhx/udever-bloom-1b1/DiaBlaBitextMining.json
similarity index 100%
rename from results/izhx/udever-bloom-1b1/DiaBLaBitextMining.json
rename to results/izhx/udever-bloom-1b1/DiaBlaBitextMining.json
diff --git a/results/izhx/udever-bloom-560m/DiaBLaBitextMining.json b/results/izhx/udever-bloom-560m/DiaBlaBitextMining.json
similarity index 100%
rename from results/izhx/udever-bloom-560m/DiaBLaBitextMining.json
rename to results/izhx/udever-bloom-560m/DiaBlaBitextMining.json
diff --git a/results/laser2/DiaBLaBitextMining.json b/results/laser2/DiaBlaBitextMining.json
similarity index 100%
rename from results/laser2/DiaBLaBitextMining.json
rename to results/laser2/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/LaBSE/DiaBLaBitextMining.json b/results/sentence-transformers/LaBSE/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/LaBSE/DiaBLaBitextMining.json
rename to results/sentence-transformers/LaBSE/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/all-MiniLM-L12-v2/DiaBLaBitextMining.json b/results/sentence-transformers/all-MiniLM-L12-v2/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/all-MiniLM-L12-v2/DiaBLaBitextMining.json
rename to results/sentence-transformers/all-MiniLM-L12-v2/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/all-MiniLM-L6-v2/DiaBLaBitextMining.json b/results/sentence-transformers/all-MiniLM-L6-v2/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/all-MiniLM-L6-v2/DiaBLaBitextMining.json
rename to results/sentence-transformers/all-MiniLM-L6-v2/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/distiluse-base-multilingual-cased-v2/DiaBLaBitextMining.json b/results/sentence-transformers/distiluse-base-multilingual-cased-v2/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/distiluse-base-multilingual-cased-v2/DiaBLaBitextMining.json
rename to results/sentence-transformers/distiluse-base-multilingual-cased-v2/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/multi-qa-MiniLM-L6-cos-v1/DiaBLaBitextMining.json b/results/sentence-transformers/multi-qa-MiniLM-L6-cos-v1/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/multi-qa-MiniLM-L6-cos-v1/DiaBLaBitextMining.json
rename to results/sentence-transformers/multi-qa-MiniLM-L6-cos-v1/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/DiaBLaBitextMining.json b/results/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/DiaBLaBitextMining.json
rename to results/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/paraphrase-multilingual-mpnet-base-v2/DiaBLaBitextMining.json b/results/sentence-transformers/paraphrase-multilingual-mpnet-base-v2/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/paraphrase-multilingual-mpnet-base-v2/DiaBLaBitextMining.json
rename to results/sentence-transformers/paraphrase-multilingual-mpnet-base-v2/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/sentence-t5-base/DiaBLaBitextMining.json b/results/sentence-transformers/sentence-t5-base/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/sentence-t5-base/DiaBLaBitextMining.json
rename to results/sentence-transformers/sentence-t5-base/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/sentence-t5-large/DiaBLaBitextMining.json b/results/sentence-transformers/sentence-t5-large/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/sentence-t5-large/DiaBLaBitextMining.json
rename to results/sentence-transformers/sentence-t5-large/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/sentence-t5-xl/DiaBLaBitextMining.json b/results/sentence-transformers/sentence-t5-xl/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/sentence-t5-xl/DiaBLaBitextMining.json
rename to results/sentence-transformers/sentence-t5-xl/DiaBlaBitextMining.json
diff --git a/results/sentence-transformers/sentence-t5-xxl/DiaBLaBitextMining.json b/results/sentence-transformers/sentence-t5-xxl/DiaBlaBitextMining.json
similarity index 100%
rename from results/sentence-transformers/sentence-t5-xxl/DiaBLaBitextMining.json
rename to results/sentence-transformers/sentence-t5-xxl/DiaBlaBitextMining.json
diff --git a/results/shibing624/text2vec-base-multilingual/DiaBLaBitextMining.json b/results/shibing624/text2vec-base-multilingual/DiaBlaBitextMining.json
similarity index 100%
rename from results/shibing624/text2vec-base-multilingual/DiaBLaBitextMining.json
rename to results/shibing624/text2vec-base-multilingual/DiaBlaBitextMining.json
diff --git a/results/text-embedding-3-large/DiaBLaBitextMining.json b/results/text-embedding-3-large/DiaBlaBitextMining.json
similarity index 100%
rename from results/text-embedding-3-large/DiaBLaBitextMining.json
rename to results/text-embedding-3-large/DiaBlaBitextMining.json
diff --git a/results/text-embedding-3-small/DiaBLaBitextMining.json b/results/text-embedding-3-small/DiaBlaBitextMining.json
similarity index 100%
rename from results/text-embedding-3-small/DiaBLaBitextMining.json
rename to results/text-embedding-3-small/DiaBlaBitextMining.json
diff --git a/results/text-embedding-ada-002/DiaBLaBitextMining.json b/results/text-embedding-ada-002/DiaBlaBitextMining.json
similarity index 100%
rename from results/text-embedding-ada-002/DiaBLaBitextMining.json
rename to results/text-embedding-ada-002/DiaBlaBitextMining.json
diff --git a/results/voyage-2/DiaBLaBitextMining.json b/results/voyage-2/DiaBlaBitextMining.json
similarity index 100%
rename from results/voyage-2/DiaBLaBitextMining.json
rename to results/voyage-2/DiaBlaBitextMining.json
diff --git a/results/voyage-code-2/DiaBLaBitextMining.json b/results/voyage-code-2/DiaBlaBitextMining.json
similarity index 100%
rename from results/voyage-code-2/DiaBLaBitextMining.json
rename to results/voyage-code-2/DiaBlaBitextMining.json
diff --git a/results/vprelovac/universal-sentence-encoder-multilingual-3/DiaBLaBitextMining.json b/results/vprelovac/universal-sentence-encoder-multilingual-3/DiaBlaBitextMining.json
similarity index 100%
rename from results/vprelovac/universal-sentence-encoder-multilingual-3/DiaBLaBitextMining.json
rename to results/vprelovac/universal-sentence-encoder-multilingual-3/DiaBlaBitextMining.json
diff --git a/results/vprelovac/universal-sentence-encoder-multilingual-large-3/DiaBLaBitextMining.json b/results/vprelovac/universal-sentence-encoder-multilingual-large-3/DiaBlaBitextMining.json
similarity index 100%
rename from results/vprelovac/universal-sentence-encoder-multilingual-large-3/DiaBLaBitextMining.json
rename to results/vprelovac/universal-sentence-encoder-multilingual-large-3/DiaBlaBitextMining.json
diff --git a/results/xlm-roberta-base/DiaBLaBitextMining.json b/results/xlm-roberta-base/DiaBlaBitextMining.json
similarity index 100%
rename from results/xlm-roberta-base/DiaBLaBitextMining.json
rename to results/xlm-roberta-base/DiaBlaBitextMining.json
diff --git a/results/xlm-roberta-large/DiaBLaBitextMining.json b/results/xlm-roberta-large/DiaBlaBitextMining.json
similarity index 100%
rename from results/xlm-roberta-large/DiaBLaBitextMining.json
rename to results/xlm-roberta-large/DiaBlaBitextMining.json
diff --git a/script_mteb_french/results_analysis/results_parser.py b/script_mteb_french/results_analysis/results_parser.py
index 2c10aef9..9ec3d540 100644
--- a/script_mteb_french/results_analysis/results_parser.py
+++ b/script_mteb_french/results_analysis/results_parser.py
@@ -7,15 +7,20 @@
 import pandas as pd
 
 DATASET_KEYS = {
-    "DiaBLaBitextMining": ["fr-en"],
+    "DiaBlaBitextMining": ["fr-en"],
     "FloresBitextMining": MTEB(tasks=['FloresBitextMining'], task_langs=['fr', 'en']).tasks[0].langs,
     "MasakhaNEWSClassification": MTEB(tasks=['MasakhaNEWSClassification'], task_langs=['fr']).tasks[0].langs,
     "MasakhaNEWSClusteringS2S": MTEB(tasks=['MasakhaNEWSClusteringS2S'], task_langs=['fr']).tasks[0].langs,
     "MasakhaNEWSClusteringP2P": MTEB(tasks=['MasakhaNEWSClusteringP2P'], task_langs=['fr']).tasks[0].langs,
+    "XPQARetrieval": MTEB(tasks=['XPQARetrieval'], task_langs=['fr']).tasks[0].langs,
 }
 
+HF_SUBSETS_VALUES = ["fra-fra"]
+ISO3_LANGUAGE = ["fra-Latn"]
 
-MODELS_TO_IGNORE = ['voyage-01', 'voyage-02', 'voyage-lite-01']
+MODELS_TO_IGNORE = ['voyage-01', 'voyage-02', 'voyage-lite-01', 'Geotrend/distilbert-base-en-fr-es-pt-it-cased', 
+                    'Geotrend/bert-base-10lang-cased', 'Geotrend/bert-base-15lang-cased', 'Geotrend/bert-base-25lang-cased',
+                    'dangvantuan/sentence-camembert-large', 'distilbert-base-uncased']
 
 
 class ResultsParser:
@@ -126,8 +131,21 @@ def _get_task_score(self, task_name:str, task_results:str, subkey:str|None = Non
             result_name_score (tuple[str, str]): the name of the task and name of the main scoring metric 
                 for that task
         """
-        key = subkey if subkey else self.lang
         selected_split = split if split else self.split
+
+        if task_results["mteb_version"].startswith("1.11.1"):
+            result = None
+            for eval in task_results["scores"][selected_split]:
+                hf_subset = eval['hf_subset']
+                languages = eval['languages'] # used when hf_subset = "default"
+                if (hf_subset == subkey) or (hf_subset in HF_SUBSETS_VALUES) or (languages == ISO3_LANGUAGE):
+                    result = eval["main_score"]
+                    continue
+            main_score = self.tasks_main_scores_map[task_name]
+            result_name_score = (task_name, main_score)
+            return result, result_name_score
+        
+        key = subkey if subkey else self.lang
         result = task_results[selected_split]
         if key in result:
             result = result[key]
@@ -173,7 +191,7 @@ def _convert_to_results_dataframe(self, result_dict:dict):
                         else:
                             subkeys = [None]
                         for split in self.eval_splits_map[task_name]:
-                            if split in task_results:
+                            if (split in task_results) or ("scores" in task_results and split in task_results["scores"]):
                                 for subkey in subkeys:
                                     result, result_name_score = self._get_task_score(task_name, task_results, subkey, split)
                                     dataset_name = f"{task_name}_{split}_{subkey}" if subkey and task_type == "BitextMining" else f"{task_name}_{split}"
diff --git a/script_mteb_french/run_benchmark.py b/script_mteb_french/run_benchmark.py
index 2280c0c7..678b158b 100644
--- a/script_mteb_french/run_benchmark.py
+++ b/script_mteb_french/run_benchmark.py
@@ -70,8 +70,6 @@
     "OrdalieTech/Solon-embeddings-base-0.1",
     "manu/sentence_croissant_alpha_v0.3",
     "manu/sentence_croissant_alpha_v0.2",
-    "manu/bge-m3-custom-fr",
-    "BAAI/bge-m3",
 ]
 
 # these models max_length is indicated to be 514 whereas the embedding layer actually supports 512