# BGE Base EN V1.5 > Source: Benchize (https://benchize.com) — https://benchize.com/models/bge-base-en-v1-5. When citing or reusing this content, credit "Benchize" and link to https://benchize.com/models/bge-base-en-v1-5. BAAI Canonical URL: https://benchize.com/models/bge-base-en-v1-5 Last updated: Wed, 21 Oct 2026 18:52:20 GMT Reproduction and quotation must name Benchize, link to the canonical HTML URL, and retain individual source citations. BAAI ## Benchmarks | Benchmark | Score | Rank | | | --- | --- | --- | --- | | [RTEB(Health, beta) · RTEB Healthcare](https://benchize.com/benchmarks/mteb%3ARTEB(Health%2C%20beta).md) | 0.44source score | 9 / 14 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4359812121212121 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 66 scoresByTask {"CUREv1":0.3180324242424242,"ChatDoctorRetrieval":0.55393,"EnglishHealthcare1Retrieval":0.50141,"GermanHealthcare1Retrieval":0.34764} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Health%2C%20beta)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:40.988Z Evidence SHA-256 `bf62d4318f836a1a4f92c7d21e3acad553ff4cffb3162ea312270b15ce1b4e32` Source locator `/rows/65` | | | | | [BEIR](https://benchize.com/benchmarks/mteb%3ABEIR.md) | 0.53source score | 5 / 15 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5322516666666667 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5322516666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 93 ### Reported statistics experiments Not reported rank 74 scoresByTask {"ArguAna":0.63752,"CQADupstackRetrieval":0.415925,"ClimateFEVER":0.31167,"DBPedia":0.4077,"FEVER":0.86289,"FiQA2018":0.40646,"HotpotQA":0.7259699999999999,"MSMARCO":0.41351,"NFCorpus":0.37367,"NQ":0.54146,"QuoraRetrieval":0.889,"SCIDOCS":0.21725,"SciFact":0.74345,"TRECCOVID":0.78029,"Touche2020":0.25701} scoresByTaskType {"Retrieval":0.5322516666666667} trainedOnTasks ["NQ"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/BEIR/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:29.416Z Evidence SHA-256 `aa692eb1a79edbe38d3f54eb90a444bff3d6c0f7b0d66e7893c86efe737c8e26` Source locator `/rows/73` | | | | | [RTEB(deu, beta) · RTEB German](https://benchize.com/benchmarks/mteb%3ARTEB(deu%2C%20beta).md) | 0.16source score | 12 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.16008 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 152 scoresByTask {"German1Retrieval":0.62744,"GermanHealthcare1Retrieval":0.34764,"GermanLegal1Retrieval":0.40846,"LegalQuAD":0.16008} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(deu%2C%20beta)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:40.727Z Evidence SHA-256 `70250aaee4788084a090cdccd91621a3c80bbf5076195bc3f215bcb392e7637d` Source locator `/rows/151` | | | | | [MTEB(fra, v1) · French](https://benchize.com/benchmarks/mteb%3AMTEB(fra%2C%20v1).md) | 0.49source score | 6 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4923401180868293 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5090301672406726 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 96 ### Reported statistics experiments Not reported rank 77 scoresByTask {"AlloProfClusteringP2P":0.597755,"AlloProfClusteringS2S":0.383015,"AlloprofReranking":0.6218705897681431,"AlloprofRetrieval":0.31285,"AmazonReviewsClassification":0.28907,"BSARDRetrieval":0.36036,"HALClusteringS2S":0.231838,"MLSUMClusteringP2P":0.412689,"MLSUMClusteringS2S":0.4085925,"MTOPDomainClassification":0.7644295000000001,"MTOPIntentClassification":0.403453,"MasakhaNEWSClassification":0.7606635071090048,"MasakhaNEWSClusteringP2P":0.474066,"MasakhaNEWSClusteringS2S":0.4415491927838793,"MassiveIntentClassification":0.44195032137849233,"MassiveScenarioClassification":0.5445720000000001,"MintakaRetrieval":0.19269,"PawsXPairClassification":0.5558801744645467,"SICKFr":0.650105,"STS22":0.757175,"STSBenchmarkMultilingualSTS":0.6992375,"SummEvalFr":0.307167,"SyntecReranking":0.729968,"SyntecRetrieval":0.63703,"XPQARetrieval":0.3305266666666667} scoresByTaskType {"Classification":0.5340230547479162,"Clustering":0.4213578132548399,"PairClassification":0.5558801744645467,"Reranking":0.6759192948840715,"Retrieval":0.36669133333333337,"STS":0.7021725,"Summarization":0.307167} trainedOnTasks ["AmazonReviewsClassification"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(fra%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:33.844Z Evidence SHA-256 `e2ba55b8933730b983cec761c965ff540336068780c799c6af25183ac4e52267` Source locator `/rows/76` | | | | | [MTEB(Europe, v1) · European](https://benchize.com/benchmarks/mteb%3AMTEB(Europe%2C%20v1).md) | 0.47source score | 4 / 5 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4693967306703421 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.41295027618314667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 107 scoresByTask {"AlloProfClusteringS2S.v2":0.36888166426835217,"AlloprofReranking":0.6218705897681431,"AlloprofRetrieval":0.31285,"AmazonCounterfactualClassification":0.6829636837321016,"ArguAna":0.63752,"BUCC.v2":0.3187537640002081,"BelebeleRetrieval":0.4845334246575342,"BibleNLPBitextMining":0.09247613120924582,"BigPatentClustering.v2":0.3120725565062686,"BiorxivClusteringP2P.v2":0.41671936179830205,"BornholmBitextMining":0.27604043637521897,"BulgarianStoreReviewSentimentClassfication":0.3510989010989011,"CBD":0.5155,"CSFDSKMovieReviewSentimentClassification":0.21796875,"CTKFactsNLI":0.6966847316111846,"Core17InstructionRetrieval":-0.034175,"CzechProductReviewSentimentClassification":0.43818359375,"DBpediaClassification":0.8271484375,"DalajClassification":0.5018018018018019,"DiaBlaBitextMining":0.1221141947077726,"EstonianValenceClassification":0.2893643031784841,"FinParaSTS":0.10132880531033092,"FinancialPhrasebankClassification":0.804726148409894,"FloresBitextMining":0.29990776798309216,"GreekLegalCodeClassification":0.036328125,"HALClusteringS2S.v2":0.25267746520624706,"HagridRetrieval":0.98829,"ItaCaseholdClassification":0.6972850678733031,"LEMBPasskeyRetrieval":0.18000000000000002,"LegalBenchCorporateLobbying":0.91672,"LegalQuAD":0.16008,"MalteseNewsClassification":0.224946,"MassiveScenarioClassification":0.4936575555555555,"MultiEURLEXMultilabelClassification":0.02794,"MultiHateClassification":0.555775,"NTREXBitextMining":0.37406432921017013,"News21InstructionRetrieval":-0.009961,"NorwegianCourtsBitextMining":0.9067251461988304,"OpusparcusPC":0.887083405968862,"PSC":0.929775,"PoemSentimentClassification":0.5243772893772893,"PolEmo2.0-OUT":0.30789473684210533,"RTE3":0.8642650702385338,"Robust04InstructionRetrieval":-0.075349,"RomaniBibleClustering":0.3652122684541712,"SCIDOCS":0.21725,"SIB200ClusteringS2S":0.17111099571567426,"SICK-R":0.8030113956602887,"SICK-R-PL":0.522148,"STS12":0.7802846881992981,"STS14":0.8227285338843656,"STS15":0.8795662500150213,"STS17":0.4947444965405226,"STSBenchmark":0.8641801045690194,"STSES":0.7256256149542571,"ScalaClassification":0.501416015625,"SpartQA":0.03367,"SprintDuplicateQuestions":0.9637070633494467,"StackOverflowQA":0.80228,"StatcanDialogueDatasetRetrieval":0.2252825,"SwissJudgementClassification":0.5364300000000001,"TempReasonL1":0.01073,"ToxicChatClassification":0.763918,"ToxicConversationsClassification":0.670361328125,"TweetSentimentClassification":0.44166666666666665,"TwitterHjerneRetrieval":0.3151,"WebLINXCandidatesReranking":0.0881324022548442,"WikiCitiesClustering":0.8608056803918346,"WikiClusteringP2P.v2":0.22398755682643562,"WikipediaRerankingMultilingual":0.8017712361712362,"WikipediaRetrievalMultilingual":0.6981109090909091,"WinoGrande":0.13762,"XNLI":0.6462013933032431} scoresByTaskType {"BitextMining":0.34144025281207685,"Classification":0.5078932702268052,"Clustering":0.3714334436459107,"InstructionReranking":-0.039828333333333334,"MultilabelClassification":0.126443,"PairClassification":0.8312861107452116,"Reranking":0.5039247427314079,"Retrieval":0.40800245558322956,"STS":0.6659575432370115} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Europe%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:33.579Z Evidence SHA-256 `7984c254f09d846a5f5a5da2de12c531bacebd43e5fa1a03abc745b501549414` Source locator `/rows/106` | | | | | [LongEmbed · Long-context Retrieval](https://benchize.com/benchmarks/mteb%3ALongEmbed.md) | 0.34source score | 10 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3388683333333334 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3388683333333334 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 112 scoresByTask {"LEMBNarrativeQARetrieval":0.25632,"LEMBNeedleRetrieval":0.2525,"LEMBPasskeyRetrieval":0.18000000000000002,"LEMBQMSumRetrieval":0.22434,"LEMBSummScreenFDRetrieval":0.6034,"LEMBWikimQARetrieval":0.51665} scoresByTaskType {"Retrieval":0.3388683333333334} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/LongEmbed/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:31.460Z Evidence SHA-256 `f15d7a6a931cf287269b9fe1060d2ae3f8cd2d1cc004a12b65bfc447716cc008` Source locator `/rows/111` | | | | | [RTEB(fra, beta) · RTEB French](https://benchize.com/benchmarks/mteb%3ARTEB(fra%2C%20beta).md) | 0.23source score | 13 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.23401545454545455 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 122 scoresByTask {"CUREv1":0.23401545454545455,"French1Retrieval":0.76901,"FrenchLegal1Retrieval":0.27591} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fra%2C%20beta)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:40.473Z Evidence SHA-256 `ec979a256821300f551b7822b61d94415dd4bf631591e9b647f2b6ae5b4b60f4` Source locator `/rows/121` | | | | | [MTEB(deu, v1) · German](https://benchize.com/benchmarks/mteb%3AMTEB(deu%2C%20v1).md) | 0.4source score | 7 / 10 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4046827209005197 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3939370993435756 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 94 ### Reported statistics experiments Not reported rank 84 scoresByTask {"AmazonCounterfactualClassification":0.5621159625405521,"AmazonReviewsClassification":0.26310999999999996,"BlurbsClusteringP2P":0.251541,"BlurbsClusteringS2S":0.113774,"FalseFriendsGermanEnglish":0.477742,"GerDaLIR":0.01246,"GermanDPR":0.62378,"GermanQuAD-Retrieval":0.761978,"GermanSTSBenchmark":0.6557169829445715,"MIRACLReranking":0.25832,"MTOPDomainClassification":0.6905615,"MTOPIntentClassification":0.442921,"MassiveIntentClassification":0.4112485449398972,"MassiveScenarioClassification":0.5382385,"PawsXPairClassification":0.4997622066848535,"STS22":0.326736,"TenKGnadClusteringP2P":0.421134,"TenKGnadClusteringS2S":0.220722,"XMarket":0.15711} scoresByTaskType {"Classification":0.48469925124674157,"Clustering":0.25179275,"PairClassification":0.48875210334242675,"Reranking":0.25832,"Retrieval":0.388832,"STS":0.49122649147228575} trainedOnTasks ["AmazonReviewsClassification"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(deu%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:33.254Z Evidence SHA-256 `3049d3866e4630fda80cc24a54b97fabf1229366932e83607c39ce357fcc2e20` Source locator `/rows/83` | | | | | [RTEB(Law, beta) · RTEB Legal](https://benchize.com/benchmarks/mteb%3ARTEB(Law%2C%20beta).md) | 0.33source score | 10 / 17 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.325325 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 110 scoresByTask {"AILACasedocs":0.27363,"AILAStatutes":0.23346,"FrenchLegal1Retrieval":0.27591,"GermanLegal1Retrieval":0.40846,"JapaneseLegal1Retrieval":0.3498,"LegalQuAD":0.16008,"LegalSummarization":0.63413} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(Law%2C%20beta)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:41.494Z Evidence SHA-256 `7204bf17f439a2d3c2052309544ff33f53928c057dd204e20b275f942e4f5516` Source locator `/rows/109` | | | | | [MTEB(Indic, v1) · Indic](https://benchize.com/benchmarks/mteb%3AMTEB(Indic%2C%20v1).md) | 0.34source score | 3 / 7 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.3388042610718552 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.259359179065297 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 121 scoresByTask {"BelebeleRetrieval":0.12530346153846153,"BengaliSentimentAnalysis":0.611009,"GujaratiNewsClassification":0.4000758725341426,"HindiDiscourseClassification":0.276611,"IN22ConvBitextMining":0.018283284210526315,"IN22GenBitextMining":0.04903189829072632,"IndicCrosslingualSTS":0.07372074182768025,"MTOPIntentClassification":0.149445,"MalayalamNewsClassification":0.39746,"MultiHateClassification":0.5476000000000001,"NepaliNewsClassification":0.442724609375,"PunjabiNewsClassification":0.5942675159235667,"SIB200ClusteringS2S":0.030642342118868154,"SanskritShlokasClassification":0.620833,"SentimentAnalysisHindi":0.3830833432147465,"TweetSentimentClassification":0.363281,"UrduRomanSentimentClassification":0.406246,"WikipediaRerankingMultilingual":0.5363316137566138,"XNLI":0.5414455386467716,"XQuADRetrieval":0.20869} scoresByTaskType {"BitextMining":0.03365759125062632,"Classification":0.432719695087288,"Clustering":0.030642342118868154,"PairClassification":0.5414455386467716,"Reranking":0.5363316137566138,"Retrieval":0.16699673076923077,"STS":0.07372074182768025} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Indic%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:34.101Z Evidence SHA-256 `0767a94ce377515114ccf374642f58eb931f56029d0f3fd71a89ba1b78d6dfc9` Source locator `/rows/120` | | | | | [MTEB(nld, v1) · Dutch](https://benchize.com/benchmarks/mteb%3AMTEB(nld%2C%20v1).md) | 0.41source score | 8 / 11 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.4104391239798111 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.48260594857325473 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 85 scoresByTask {"ArguAna-NL.v2":0.33627,"BelebeleRetrieval":0.69835,"CovidDisinformationNLMultiLabelClassification":0.492117,"DutchBookReviewSentimentClassification.v2":0.529285,"DutchColaClassification":0.540084,"DutchGovernmentBiasClassification":0.570392,"DutchNewsArticlesClassification":0.471157,"DutchNewsArticlesClusteringP2P":0.319944,"DutchNewsArticlesClusteringS2S":0.149979,"DutchNewsArticlesRetrieval":0.4192,"DutchSarcasticHeadlinesClassification":0.547362,"IconclassClassification":0.443749,"IconclassClusteringS2S":0.22291,"LegalQANLRetrieval":0.3924,"MassiveIntentClassification":0.38349001727051735,"MassiveScenarioClassification":0.475438,"MultiEURLEXMultilabelClassification":0.02506,"MultiHateClassification":0.5481,"NFCorpus-NL.v2":0.22525,"OpenTenderClassification":0.271625,"OpenTenderClusteringP2P":0.209564,"OpenTenderClusteringS2S":0.182315,"OpenTenderRetrieval":0.36983,"SCIDOCS-NL.v2":0.1126,"SIB200Classification":0.535369,"SIB200ClusteringS2S":0.23740991811240103,"SICK-NL-STS":0.53532,"SICKNLPairClassification":0.58733,"STSBenchmarkMultilingualSTS":0.6436015,"SciFact-NL.v2":0.52752,"VABBClusteringP2P":0.321159,"VABBClusteringS2S":0.251236,"VABBMultiLabelClassification":0.408376,"VABBRetrieval":0.56876,"VaccinChatNLClassification":0.287002,"WebFAQRetrieval":0.44056,"WikipediaRerankingMultilingual":0.7877095238095237,"WikipediaRetrievalMultilingual":0.72093,"XLWICNLPairClassification":0.580271,"bBSARDNLRetrieval":0.04854} scoresByTaskType {"Classification":0.4669210847725431,"Clustering":0.23681461476405014,"MultilabelClassification":0.3085176666666667,"PairClassification":0.5838004999999999,"Reranking":0.7877095238095237,"Retrieval":0.40501750000000003,"STS":0.58946075} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(nld%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:34.651Z Evidence SHA-256 `9a76f8c975d4a52e0646df4cf0d33d81638e502e09c4917d880ac698f501788a` Source locator `/rows/84` | | | | | [RTEB(fin, beta) · RTEB Finance](https://benchize.com/benchmarks/mteb%3ARTEB(fin%2C%20beta).md) | 0.55source score | 9 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.54734 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 66 scoresByTask {"EnglishFinance1Retrieval":0.68365,"EnglishFinance2Retrieval":0.45984,"EnglishFinance3Retrieval":0.63724,"EnglishFinance4Retrieval":0.43095,"FinQARetrieval":0.44443,"FinanceBenchRetrieval":0.67556,"HC3FinanceRetrieval":0.52203} scoresByTaskType Not reported trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/RTEB(fin%2C%20beta)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:40.217Z Evidence SHA-256 `e372e75484a69b00e1a4f9619cc0d72b27ed359ea6b25f0c413f1c9551e05c7e` Source locator `/rows/65` | | | | | [MTEB(Law, v1) · Legal](https://benchize.com/benchmarks/mteb%3AMTEB(Law%2C%20v1).md) | 0.4source score | 6 / 12 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.40243 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.40243 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 82 scoresByTask {"AILACasedocs":0.27363,"AILAStatutes":0.23346,"GerDaLIRSmall":0.03324,"LeCaRDv2":0.23338,"LegalBenchConsumerContractsQA":0.7348,"LegalBenchCorporateLobbying":0.91672,"LegalQuAD":0.16008,"LegalSummarization":0.63413} scoresByTaskType {"Retrieval":0.40243} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(Law%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:35.593Z Evidence SHA-256 `366cc22709240d33f3a878edf79ca05670c259d3ada02601cd525a1dfb8143c1` Source locator `/rows/81` | | | | | [MTEB(rus, v1.1) · Russian](https://benchize.com/benchmarks/mteb%3AMTEB(rus%2C%20v1.1).md) | 0.3source score | 7 / 8 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.29632991759278804 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.3064628340541747 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 103 scoresByTask {"CEDRClassification":0.336238,"GeoreviewClassification":0.277393,"GeoreviewClusteringP2P":0.230877,"HeadlineClassification":0.300684,"InappropriatenessClassification":0.51626,"KinopoiskClassification":0.3558,"MIRACLReranking":0.22421,"MIRACLRetrievalHardNegatives.v2":0.11812,"MassiveIntentClassification":0.31545040622598675,"MassiveScenarioClassification":0.367614,"RUParaPhraserSTS":0.487348,"RiaNewsRetrievalHardNegatives.v2":0.26052,"RuBQReranking":0.44524547699694,"RuBQRetrieval":0.13268,"RuReviewsClassification":0.434668,"RuSTSBenchmarkSTS":0.597007,"RuSciBenchGRNTIClassification":0.173438,"RuSciBenchGRNTIClusteringP2P":0.155395,"RuSciBenchOECDClassification":0.131592,"RuSciBenchOECDClusteringP2P":0.141578,"STS22":0.161843,"SensitiveTopicsClassification":0.180469,"TERRa":0.4711582214111984} scoresByTaskType {"Classification":0.3192110451362208,"Clustering":0.17595000000000002,"MultilabelClassification":0.2583535,"PairClassification":0.4711582214111984,"Reranking":0.33472773849847,"Retrieval":0.17044,"STS":0.4153993333333333} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/MTEB(rus%2C%20v1.1)/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:39.422Z Evidence SHA-256 `ac823b2b6938144aafb5350443bcb7c1f622d0aa834bf0b375d59b7ee34ed05e` Source locator `/rows/102` | | | | | [FollowIR · Instruction Following](https://benchize.com/benchmarks/mteb%3AFollowIR.md) | -0.04source score | 16 / 16 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| -0.039828333333333334 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| -0.039828333333333334 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 200 scoresByTask {"Core17InstructionRetrieval":-0.034175,"News21InstructionRetrieval":-0.009961,"Robust04InstructionRetrieval":-0.075349} scoresByTaskType {"InstructionReranking":-0.039828333333333334} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/FollowIR/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:36.107Z Evidence SHA-256 `9727e715325c0f35c67173e5a59d96566fb3dded3f9f1558f9a7ddf230445ddb` Source locator `/rows/199` | | | | | [ChemTEB · Chemical](https://benchize.com/benchmarks/mteb%3AChemTEB.md) | 0.7source score | 5 / 13 | | | ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.7047731450617284 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.5165618284313724 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 100 ### Reported statistics experiments Not reported rank 16 scoresByTask {"ChemHotpotQARetrieval":0.8624033333333333,"ChemNQRetrieval":0.61175,"PubChemAISentenceParaphrasePC":0.955084,"PubChemSMILESBitextMining":0.001799,"PubChemSMILESPC":0.111079,"PubChemSynonymPC":0.607787,"PubChemWikiPairClassification":0.8549525833333332,"PubChemWikiParagraphsPC":0.306797,"SDSEyeProtectionClassification":0.70745,"SDSGlovesClassification":0.6339,"WikipediaBioMetChemClassification":0.994256,"WikipediaBiolumNeurochemClassification":0.962245,"WikipediaChemEngSpecialtiesClassification":0.341129,"WikipediaChemFieldsClassification":0.535956,"WikipediaChemistryTopicsClassification":0.881948,"WikipediaChemistryTopicsClustering":0.773769,"WikipediaCompChemSpectroscopyClassification":0.752941,"WikipediaCryobiologySeparationClassification":0.948927,"WikipediaCrystallographyAnalyticalClassification":0.971134,"WikipediaGreenhouseEnantiopureClassification":0.986404,"WikipediaIsotopesFissionClassification":0.894048,"WikipediaLuminescenceClassification":0.904878,"WikipediaOrganicInorganicClassification":0.893916,"WikipediaSaltsSemiconductorsClassification":0.885859,"WikipediaSolidStateColloidalClassification":0.82545,"WikipediaSpecialtiesInChemistryClustering":0.158,"WikipediaTheoreticalAppliedClassification":0.665013} scoresByTaskType {"BitextMining":0.001799,"Classification":0.8109090588235294,"Clustering":0.46588450000000003,"PairClassification":0.5671399166666666,"Retrieval":0.7370766666666666} trainedOnTasks Not reported ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/ChemTEB/scores) Source MTEB Original model label BAAI/bge-base-en-v1.5 Observed 2026-10-21T16:40:30.425Z Evidence SHA-256 `a686e5d3d53f427eaafcd06cf50605dd45e3b4e0a7aaae31f5e8c757b4adbbed` Source locator `/rows/15` | | | | --- Cite as: BGE Base EN V1.5 — Benchize, https://benchize.com/models/bge-base-en-v1-5 (retrieved 2026-10-21)