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add results of add results of ICT-TIME-and-Querit__BOOM_4B_v1 #411
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@hengran we need the model implemented in |
Okay, I have submitted the PR for the boom model implemented in mteb. |
Model Results ComparisonReference models: Results for
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| task_name | ICT-TIME-and-Querit/BOOM_4B_v1 | google/gemini-embedding-001 | intfloat/multilingual-e5-large | Max result | Model with max result | In Training Data |
|---|---|---|---|---|---|---|
| AILACasedocs | 0.3751 | 0.4833 | 0.2643 | 0.6541 | bflhc/Octen-Embedding-8B | False |
| AILAStatutes | 0.3553 | 0.4877 | 0.2084 | 0.9313 | bflhc/Octen-Embedding-8B | False |
| AfriSentiClassification | 0.4443 | 0.5356 | 0.455 | 0.5688 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| AlloProfClusteringS2S.v2 | 0.5922 | 0.5636 | 0.3328 | 0.5965 | Qwen/Qwen3-Embedding-8B | False |
| AlloprofReranking | 0.7831 | 0.8177 | 0.6944 | 0.8540 | bflhc/Octen-Embedding-8B | False |
| AmazonCounterfactualClassification | 0.8966 | 0.8820 | 0.6965 | 0.9696 | GeoGPT-Research-Project/GeoEmbedding | False |
| AppsRetrieval | 0.5765 | 0.9375 | 0.3255 | 0.9729 | voyageai/voyage-4-large (embed_dim=2048) | False |
| ArXivHierarchicalClusteringP2P | 0.6498 | 0.6492 | 0.5569 | 0.6869 | NovaSearch/jasper_en_vision_language_v1 | False |
| ArXivHierarchicalClusteringS2S | 0.6390 | 0.6384 | 0.5367 | 0.6548 | Qwen/Qwen3-Embedding-8B | False |
| ArguAna | 0.5783 | 0.8644 | 0.5436 | 0.8979 | voyageai/voyage-3-m-exp | False |
| ArmenianParaphrasePC | 0.9479 | 0.9689 | 0.9493 | 0.9703 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| AskUbuntuDupQuestions | 0.6566 | 0.6424 | 0.5924 | 0.7528 | IEITYuan/Yuan-embedding-2.0-en | False |
| BIOSSES | 0.8522 | 0.8897 | 0.8457 | 0.9692 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| BUCC.v2 | 0.9886 | 0.9899 | 0.9878 | 0.9902 | GritLM/GritLM-7B | False |
| Banking77Classification | 0.8699 | 0.9427 | 0.7492 | 0.9427 | google/gemini-embedding-001 | False |
| BelebeleRetrieval | 0.7728 | 0.9073 | 0.7791 | 0.9380 | clips/e5-base-trm-nl | False |
| BibleNLPBitextMining | 0.1212 | 0.2072 | 0.1665 | 0.9899 | deepvk/USER-bge-m3 | False |
| BigPatentClustering.v2 | 0.4195 | 0.3806 | 0.3147 | 0.4453 | Salesforce/SFR-Embedding-2_R | False |
| BiorxivClusteringP2P.v2 | 0.5438 | 0.5386 | 0.372 | 0.8417 | codefuse-ai/F2LLM-4B | False |
| BornholmBitextMining | 0.5491 | 0.5169 | 0.4416 | 0.7633 | Qwen/Qwen3-Embedding-8B | False |
| BrazilianToxicTweetsClassification | 0.2014 | 0.2802 | 0.2123 | 0.3157 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| BulgarianStoreReviewSentimentClassfication | 0.7907 | 0.7813 | 0.6385 | 0.8044 | Linq-AI-Research/Linq-Embed-Mistral | False |
| CEDRClassification | 0.5000 | 0.5742 | 0.4484 | 0.7301 | sergeyzh/BERTA | False |
| CLSClusteringP2P.v2 | 0.4644 | 0.4268 | 0.4037 | 0.7572 | Qwen/Qwen3-Embedding-8B | False |
| COIRCodeSearchNetRetrieval | 0.7486 | 0.8106 | nan | 0.8979 | codefuse-ai/C2LLM-7B | False |
| CQADupstackGamingRetrieval | 0.6253 | 0.7068 | 0.587 | 0.8161 | IEITYuan/Yuan-embedding-2.0-en | False |
| CQADupstackUnixRetrieval | 0.4954 | 0.5369 | 0.3988 | 0.7198 | voyageai/voyage-3-m-exp | False |
| CSFDSKMovieReviewSentimentClassification | 0.4863 | 0.4938 | 0.3484 | 0.6456 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| CTKFactsNLI | 0.8316 | 0.8759 | 0.7984 | 0.8993 | omarelshehy/arabic-english-sts-matryoshka | False |
| CUREv1 | 0.6078 | 0.5957 | 0.5162 | 0.6782 | voyageai/voyage-4-large (embed_dim=2048) | False |
| CataloniaTweetClassification | 0.4998 | 0.5451 | 0.504 | 0.7790 | Bytedance/Seed1.6-embedding-1215 | False |
| ChatDoctorRetrieval | 0.6935 | 0.7352 | 0.5687 | 0.7722 | voyageai/voyage-4-large (embed_dim=2048) | False |
| ClimateFEVERHardNegatives | 0.3444 | 0.3106 | 0.26 | 0.5905 | IEITYuan/Yuan-embedding-2.0-en | False |
| CodeEditSearchRetrieval | 0.6608 | 0.8161 | 0.5038 | 0.9214 | Bytedance/Seed1.6-embedding-1215 | False |
| CodeFeedbackMT | 0.8340 | 0.5628 | 0.4278 | 0.9432 | codefuse-ai/C2LLM-7B | False |
| CodeFeedbackST | 0.8217 | 0.8533 | 0.7426 | 0.9067 | voyageai/voyage-code-3 | False |
| CodeSearchNetCCRetrieval | 0.7675 | 0.8469 | 0.7783 | 0.9790 | codefuse-ai/C2LLM-7B | False |
| CodeSearchNetRetrieval | 0.8999 | 0.9133 | 0.8412 | 0.9397 | voyageai/voyage-code-3 | False |
| CodeTransOceanContest | 0.8885 | 0.8953 | 0.7403 | 0.9496 | voyageai/voyage-code-3 | False |
| CodeTransOceanDL | 0.3444 | 0.3147 | 0.3128 | 0.4419 | jinaai/jina-embeddings-v4 | False |
| Core17InstructionRetrieval | 0.0577 | 0.0769 | -0.0162 | 0.1461 | nvidia/llama-embed-nemotron-8b | False |
| CosQA | 0.2634 | 0.5024 | 0.348 | 0.5218 | google/text-embedding-005 | False |
| CovidRetrieval | 0.8008 | 0.7913 | 0.7561 | 0.9606 | TencentBAC/Conan-embedding-v2 | False |
| CyrillicTurkicLangClassification | 0.6736 | 0.9530 | 0.4085 | 0.9905 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| CzechProductReviewSentimentClassification | 0.6374 | 0.6816 | 0.5714 | 0.7667 | Bytedance/Seed1.6-embedding-1215 | False |
| DBpediaClassification | 0.9114 | 0.9476 | 0.8828 | 0.9926 | Qwen/Qwen3-Embedding-8B | False |
| DS1000Retrieval | 0.6366 | 0.6870 | nan | 0.7129 | voyageai/voyage-4-large (embed_dim=2048) | False |
| DalajClassification | 0.4992 | 0.5047 | 0.5001 | 0.6213 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| DiaBlaBitextMining | 0.8519 | 0.8723 | 0.8483 | 0.8865 | nvidia/llama-embed-nemotron-8b | False |
| EstonianValenceClassification | 0.4922 | 0.5352 | 0.4289 | 0.6456 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| FEVERHardNegatives | 0.8935 | 0.8898 | 0.8379 | 0.9453 | ByteDance-Seed/Seed1.5-Embedding | False |
| FaroeseSTS | 0.7527 | 0.8612 | 0.7239 | 0.9739 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| FiQA2018 | 0.5489 | 0.6178 | 0.4381 | 0.8206 | ai-sage/Giga-Embeddings-instruct | False |
| FilipinoShopeeReviewsClassification | 0.4477 | 0.4845 | 0.3527 | 0.5159 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| FinParaSTS | 0.2179 | 0.2860 | 0.2492 | 0.3456 | bflhc/Octen-Embedding-8B | False |
| FinQARetrieval | 0.5316 | 0.6464 | nan | 0.8897 | voyageai/voyage-4-large (embed_dim=2048) | False |
| FinanceBenchRetrieval | 0.8177 | 0.9157 | nan | 0.9459 | bflhc/Octen-Embedding-8B | False |
| FinancialPhrasebankClassification | 0.9117 | 0.8864 | 0.8394 | 0.9515 | Qwen/Qwen3-Embedding-8B | False |
| FloresBitextMining | 0.5954 | 0.8371 | 0.8108 | 0.8596 | intfloat/multilingual-e5-large-instruct | False |
| FreshStackRetrieval | 0.3583 | 0.3979 | 0.2519 | 0.5776 | bflhc/Octen-Embedding-8B | False |
| GermanSTSBenchmark | 0.8257 | 0.8809 | 0.8408 | 0.9541 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| GreekLegalCodeClassification | 0.3602 | 0.4376 | 0.3713 | 0.8052 | Bytedance/Seed1.6-embedding-1215 | False |
| GujaratiNewsClassification | 0.8999 | 0.9205 | 0.7674 | 0.9343 | Bytedance/Seed1.6-embedding-1215 | False |
| HALClusteringS2S.v2 | 0.3345 | 0.3200 | 0.2261 | 0.3228 | Qwen/Qwen3-Embedding-8B | False |
| HC3FinanceRetrieval | 0.7003 | 0.7758 | nan | 0.8242 | nvidia/NV-Embed-v2 | False |
| HagridRetrieval | 0.9893 | 0.9931 | 0.9891 | 0.9931 | google/gemini-embedding-001 | False |
| HotpotQAHardNegatives | 0.7592 | 0.8701 | 0.7055 | 0.8701 | google/gemini-embedding-001 | False |
| HumanEvalRetrieval | 0.9714 | 0.9910 | nan | 0.9977 | bflhc/MoD-Embedding | False |
| IN22GenBitextMining | 0.7681 | 0.9375 | 0.7675 | 0.9375 | google/gemini-embedding-001 | False |
| ImdbClassification | 0.9617 | 0.9498 | 0.8867 | 0.9737 | Qwen/Qwen3-Embedding-8B | False |
| IndicCrosslingualSTS | 0.5332 | 0.6287 | 0.4387 | 0.8477 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| IndicGenBenchFloresBitextMining | 0.8843 | 0.9677 | 0.8875 | 0.9881 | Sailesh97/Hinvec | False |
| IndicLangClassification | 0.8139 | 0.8769 | 0.2025 | 0.9930 | Bytedance/Seed1.6-embedding-1215 | False |
| IndonesianIdClickbaitClassification | 0.6026 | 0.6700 | 0.6122 | 0.7560 | nvidia/llama-embed-nemotron-8b | False |
| IsiZuluNewsClassification | 0.2350 | 0.4053 | 0.3241 | 0.4053 | google/gemini-embedding-001 | False |
| ItaCaseholdClassification | 0.7213 | 0.7330 | 0.6679 | 0.9439 | bigscience/sgpt-bloom-7b1-msmarco | False |
| JSICK | 0.8257 | 0.8499 | 0.7981 | 0.8963 | bflhc/Octen-Embedding-8B | False |
| KorHateSpeechMLClassification | 0.1831 | 0.1769 | 0.1049 | 0.7625 | Bytedance/Seed1.6-embedding-1215 | False |
| KorSarcasmClassification | 0.8194 | 0.6051 | 0.5679 | 0.6479 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| KurdishSentimentClassification | 0.7218 | 0.8639 | 0.7708 | 0.9403 | Bytedance/Seed1.6-embedding-1215 | False |
| LEMBPasskeyRetrieval | 0.8500 | 0.3850 | 0.3825 | 1.0000 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| LegalBenchCorporateLobbying | 0.9428 | 0.9598 | 0.8972 | 0.9696 | voyageai/voyage-3-large | False |
| LegalQuAD | 0.5849 | 0.6553 | 0.4317 | 0.7675 | baseline/bm25s | False |
| LegalSummarization | 0.6468 | 0.7122 | 0.621 | 0.7921 | voyageai/voyage-3.5 | False |
| MBPPRetrieval | 0.9144 | 0.9416 | nan | 0.9608 | voyageai/voyage-4-large (embed_dim=2048) | False |
| MIRACLRetrievalHardNegatives | 0.6560 | 0.7042 | 0.5923 | 0.7305 | nvidia/llama-embed-nemotron-8b | False |
| MLQARetrieval | 0.7887 | 0.8416 | 0.7566 | 0.8416 | google/gemini-embedding-001 | False |
| MTOPDomainClassification | 0.9702 | 0.9927 | 0.9097 | 0.9995 | voyageai/voyage-3-m-exp | False |
| MacedonianTweetSentimentClassification | 0.6431 | 0.7183 | 0.6192 | 0.7547 | Qwen/Qwen3-Embedding-4B | False |
| MalteseNewsClassification | 0.3491 | 0.3738 | 0.2395 | 0.6938 | Bytedance/Seed1.6-embedding-1215 | False |
| MasakhaNEWSClassification | 0.7828 | 0.8355 | 0.7754 | 0.9009 | Bytedance/Seed1.6-embedding-1215 | False |
| MasakhaNEWSClusteringS2S | 0.4711 | 0.5745 | 0.3804 | 0.7365 | Bytedance/Seed1.6-embedding-1215 | False |
| MassiveIntentClassification | 0.6705 | 0.8192 | 0.6025 | 0.9194 | voyageai/voyage-3-m-exp | False |
| MassiveScenarioClassification | 0.8145 | 0.9208 | 0.7178 | 0.9930 | voyageai/voyage-3-m-exp | False |
| MedrxivClusteringP2P.v2 | 0.4796 | 0.4716 | 0.3431 | 0.7199 | codefuse-ai/F2LLM-4B | False |
| MedrxivClusteringS2S.v2 | 0.4606 | 0.4501 | 0.3152 | 0.7023 | codefuse-ai/F2LLM-4B | False |
| MindSmallReranking | 0.3295 | 0.3295 | 0.3024 | 0.3437 | Kingsoft-LLM/QZhou-Embedding | False |
| MultiEURLEXMultilabelClassification | 0.0479 | 0.0528 | 0.0516 | 0.0968 | Bytedance/Seed1.6-embedding-1215 | False |
| MultiHateClassification | 0.6808 | 0.7247 | 0.6357 | 0.8374 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| NTREXBitextMining | 0.7869 | 0.9364 | 0.914 | 0.9456 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| NepaliNewsClassification | 0.9564 | 0.9814 | 0.8847 | 0.9817 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| News21InstructionRetrieval | 0.0032 | 0.1026 | -0.0006 | 0.1145 | google/embeddinggemma-300m | False |
| NollySentiBitextMining | 0.3598 | 0.6871 | 0.675 | 0.8083 | nvidia/llama-embed-nemotron-8b | False |
| NordicLangClassification | 0.6913 | 0.8597 | 0.8015 | 0.9384 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| NorwegianCourtsBitextMining | 0.9430 | 0.9342 | 0.9404 | 0.9447 | OrdalieTech/Solon-embeddings-large-0.1 | False |
| NusaParagraphEmotionClassification | 0.4976 | 0.5638 | 0.4166 | 0.8374 | Bytedance/Seed1.6-embedding-1215 | False |
| NusaTranslationBitextMining | 0.7761 | 0.7752 | 0.672 | 0.9222 | Qwen/Qwen3-Embedding-8B | False |
| NusaX-senti | 0.7222 | 0.8031 | 0.7055 | 0.8482 | Bytedance/Seed1.6-embedding-1215 | False |
| NusaXBitextMining | 0.7121 | 0.8252 | 0.7267 | 0.9056 | Bytedance/Seed1.6-embedding-1215 | False |
| OdiaNewsClassification | 0.8741 | 0.9184 | 0.8001 | 0.9715 | Bytedance/Seed1.6-embedding-1215 | False |
| OpusparcusPC | 0.9453 | 0.9662 | 0.9451 | 0.9696 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| PAC | 0.7083 | 0.7168 | 0.7033 | 0.8811 | Bytedance/Seed1.6-embedding-1215 | False |
| PawsXPairClassification | 0.5730 | 0.5999 | 0.5473 | 0.7557 | Bytedance/Seed1.6-embedding-1215 | False |
| PlscClusteringP2P.v2 | 0.7498 | 0.7431 | 0.7161 | 0.7542 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| PoemSentimentClassification | 0.6670 | 0.5966 | 0.5067 | 0.8642 | Bytedance/Seed1.6-embedding-1215 | False |
| PolEmo2.0-OUT | 0.6864 | 0.7753 | 0.3648 | 0.8006 | nvidia/llama-embed-nemotron-8b | False |
| PpcPC | 0.9190 | 0.9550 | 0.9218 | 0.9554 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| PunjabiNewsClassification | 0.8471 | 0.8261 | 0.807 | 0.8879 | Bytedance/Seed1.6-embedding-1215 | False |
| RTE3 | 0.8926 | 0.8955 | 0.8752 | 0.9173 | Bytedance/Seed1.6-embedding-1215 | False |
| Robust04InstructionRetrieval | -0.0771 | -0.0241 | -0.0748 | 0.1244 | Qwen/Qwen3-Embedding-4B | False |
| RomaniBibleClustering | 0.4268 | 0.4322 | 0.4092 | 0.4589 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| RuBQReranking | 0.6666 | 0.7384 | 0.756 | 0.8051 | ai-sage/Giga-Embeddings-instruct | False |
| SCIDOCS | 0.1189 | 0.2515 | 0.1745 | 0.5986 | IEITYuan/Yuan-embedding-2.0-en | False |
| SIB200ClusteringS2S | 0.3814 | 0.4174 | 0.3945 | 0.5126 | sbintuitions/sarashina-embedding-v2-1b | False |
| SICK-R | 0.7988 | 0.8275 | 0.8023 | 0.9465 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| STS12 | 0.7716 | 0.8155 | 0.8002 | 0.9546 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| STS13 | 0.8681 | 0.8989 | 0.8155 | 0.9776 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| STS14 | 0.7950 | 0.8541 | 0.7772 | 0.9753 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| STS15 | 0.8706 | 0.9044 | 0.8931 | 0.9811 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| STS17 | 0.8494 | 0.8858 | 0.8214 | 0.9342 | infgrad/Jasper-Token-Compression-600M | False |
| STS22.v2 | 0.6748 | 0.7169 | 0.643 | 0.7718 | Kingsoft-LLM/QZhou-Embedding | False |
| STSB | 0.8131 | 0.8550 | 0.8236 | 0.9199 | Gameselo/STS-multilingual-mpnet-base-v2 | False |
| STSBenchmark | 0.8706 | 0.8908 | 0.8729 | 0.9504 | Kingsoft-LLM/QZhou-Embedding | False |
| STSES | 0.7882 | 0.8175 | 0.8021 | 0.8231 | google/embeddinggemma-300m | False |
| ScalaClassification | 0.5129 | 0.5185 | 0.5157 | 0.8626 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| SemRel24STS | 0.6503 | 0.7314 | 0.6266 | 0.8112 | VPLabs/SearchMap_Preview | False |
| SentimentAnalysisHindi | 0.7521 | 0.7606 | 0.642 | 0.8001 | Qwen/Qwen3-Embedding-8B | False |
| SinhalaNewsClassification | 0.6842 | 0.8229 | 0.6682 | 0.8547 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| SiswatiNewsClassification | 0.4838 | 0.6238 | 0.535 | 0.7837 | Lajavaness/bilingual-embedding-small | False |
| SlovakMovieReviewSentimentClassification | 0.9033 | 0.9035 | 0.7441 | 0.9539 | Bytedance/Seed1.6-embedding-1215 | False |
| SpartQA | 0.1104 | 0.1030 | 0.0565 | 0.8483 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| SprintDuplicateQuestions | 0.9162 | 0.9690 | 0.9314 | 0.9838 | Kingsoft-LLM/QZhou-Embedding | False |
| StackExchangeClustering.v2 | 0.7834 | 0.9207 | 0.4643 | 0.9207 | google/gemini-embedding-001 | False |
| StackExchangeClusteringP2P.v2 | 0.4999 | 0.5091 | 0.3854 | 0.5510 | Kingsoft-LLM/QZhou-Embedding | False |
| StackOverflowQA | 0.9334 | 0.9671 | 0.8889 | 0.9720 | Bytedance/Seed1.6-embedding-1215 | False |
| StatcanDialogueDatasetRetrieval | 0.4938 | 0.5111 | 0.1063 | 0.5807 | jinaai/jina-embeddings-v4 | False |
| SummEvalSummarization.v2 | 0.3573 | 0.3828 | 0.3141 | 0.3893 | annamodels/LGAI-Embedding-Preview | False |
| SwahiliNewsClassification | 0.6590 | 0.6605 | 0.5969 | 0.6753 | Qwen/Qwen3-Embedding-8B | False |
| SwednClusteringP2P | 0.3764 | 0.4584 | 0.3691 | 0.6213 | Qwen/Qwen3-Embedding-4B | False |
| SwissJudgementClassification | 0.5616 | 0.5786 | 0.5362 | 0.7791 | Bytedance/Seed1.6-embedding-1215 | False |
| SyntheticText2SQL | 0.7277 | 0.6996 | 0.5307 | 0.7875 | Qwen/Qwen3-Embedding-8B | False |
| T2Reranking | 0.6494 | 0.6795 | 0.6632 | 0.7315 | tencent/Youtu-Embedding | False |
| TERRa | 0.5755 | 0.6392 | 0.5842 | 0.7957 | ai-sage/Giga-Embeddings-instruct | False |
| TRECCOVID | 0.8206 | 0.8631 | 0.7115 | 0.9833 | IEITYuan/Yuan-embedding-2.0-en | False |
| Tatoeba | 0.6802 | 0.8197 | 0.7573 | 0.9394 | OrlikB/KartonBERT-USE-base-v1 | False |
| TempReasonL1 | 0.0117 | 0.0296 | 0.0114 | 0.0805 | nvidia/llama-embed-nemotron-8b | False |
| Touche2020Retrieval.v3 | 0.5062 | 0.5239 | 0.4959 | 0.7465 | Qwen/Qwen3-Embedding-4B | False |
| ToxicConversationsClassification | 0.8887 | 0.8875 | 0.6601 | 0.9759 | voyageai/voyage-3-m-exp | False |
| TswanaNewsClassification | 0.3205 | 0.5337 | 0.47 | 0.6417 | Bytedance/Seed1.6-embedding-1215 | False |
| TweetSentimentExtractionClassification | 0.7849 | 0.6988 | 0.628 | 0.8823 | voyageai/voyage-3-m-exp | False |
| TweetTopicSingleClassification | 0.7791 | 0.7111 | 0.6532 | 0.8561 | Bytedance/Seed1.6-embedding-1215 | False |
| TwentyNewsgroupsClustering.v2 | 0.6588 | 0.5737 | 0.3921 | 0.8758 | GeoGPT-Research-Project/GeoEmbedding | False |
| TwitterHjerneRetrieval | 0.7393 | 0.9802 | 0.3522 | 0.9802 | google/gemini-embedding-001 | False |
| TwitterSemEval2015 | 0.7345 | 0.7917 | 0.7528 | 0.8946 | voyageai/voyage-large-2-instruct | False |
| TwitterURLCorpus | 0.8668 | 0.8705 | 0.8583 | 0.9571 | TencentBAC/Conan-embedding-v2 | False |
| VoyageMMarcoReranking | 0.6003 | 0.6673 | 0.6821 | 0.7351 | jinaai/jina-reranker-v3 | False |
| WebLINXCandidatesReranking | 0.1414 | 0.1097 | 0.0778 | 0.1792 | Bytedance/Seed1.6-embedding-1215 | False |
| WikiCitiesClustering | 0.9015 | 0.9163 | 0.755 | 0.9357 | Qwen/Qwen3-Embedding-4B | False |
| WikiClusteringP2P.v2 | 0.2954 | 0.2823 | 0.256 | 0.3295 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| WikiSQLRetrieval | 0.8865 | 0.8814 | nan | 0.9892 | bflhc/Octen-Embedding-8B | False |
| WikipediaRerankingMultilingual | 0.8721 | 0.9224 | 0.8981 | 0.9308 | jinaai/jina-reranker-v3 | False |
| WikipediaRetrievalMultilingual | 0.9098 | 0.9420 | 0.9111 | 0.9420 | google/gemini-embedding-001 | False |
| WinoGrande | 0.2485 | 0.6052 | 0.5498 | 0.8989 | tencent/KaLM-Embedding-Gemma3-12B-2511 | False |
| XNLI | 0.8059 | 0.8526 | 0.7477 | 0.9291 | Bytedance/Seed1.6-embedding-1215 | False |
| indonli | 0.5763 | 0.6069 | 0.5174 | 0.6722 | Bytedance/Seed1.6-embedding-1215 | False |
| Average | 0.6434 | 0.6895 | 0.5779 | 0.7960 | nan | - |
Model have high performance on these tasks: KorSarcasmClassification,HALClusteringS2S.v2
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related PR embeddings-benchmark/mteb#4022 |
…2369aefe08b8f8222b/.ipynb_checkpoints directory
Checklist
mteb/models/model_implementations/, this can be as an API. Instruction on how to add a model can be found here