# VN-MTEB (vie, v1) · Vietnamese

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Vietnamese text embedding quality across retrieval, classification, pair classification, clustering, reranking, and semantic similarity.

Canonical URL: https://benchize.com/benchmarks/mteb%3AVN-MTEB%20(vie%2C%20v1)
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.

Vietnamese text embedding quality across retrieval, classification, pair classification, clustering, reranking, and semantic similarity.

Embeddings · Models tested: 4 · Score publishers: [MTEB](https://arxiv.org/abs/2507.21500)

## Model results

| # | Model | Score |  |
| --- | --- | --- | --- |
| 1 | [Bge m3](https://benchize.com/models/bge-m3.md) | 0.54source score |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.53582129 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6354457819444445 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 94 ### Reported statistics experiments Not reported rank 10 scoresByTask {"AmazonCounterfactualVNClassification":0.587768,"AmazonPolarityVNClassification":0.875419,"AmazonReviewsVNClassification":0.443341,"ArguAna-VN":0.50681,"AskUbuntuDupQuestions-VN":0.620736,"BIOSSES-VN":0.774982,"Banking77VNClassification":0.781034,"CQADupstackAndroid-VN":0.44039,"CQADupstackGis-VN":0.33126,"CQADupstackMathematica-VN":0.23635,"CQADupstackPhysics-VN":0.37989,"CQADupstackProgrammers-VN":0.34121,"CQADupstackStats-VN":0.30125,"CQADupstackTex-VN":0.26106,"CQADupstackUnix-VN":0.35668,"CQADupstackWebmasters-VN":0.34467,"CQADupstackWordpress-VN":0.28175,"ClimateFEVER-VN":0.21273,"DBPedia-VN":0.36702,"EmotionVNClassification":0.4669535,"FEVER-VN":0.70143,"FiQA2018-VN":0.34378,"HotpotQA-VN":0.63756,"ImdbVNClassification":0.82705,"MSMARCO-VN":0.36216,"MTOPDomainVNClassification":0.865646,"MTOPIntentVNClassification":0.570062,"MassiveIntentVNClassification":0.681783,"MassiveScenarioVNClassification":0.727517,"NFCorpus-VN":0.3096,"NQ-VN":0.54979,"Quora-VN":0.64574,"RedditClustering-VN":0.432496,"RedditClusteringP2P-VN":0.573808,"SCIDOCS-VN":0.15013,"SICK-R-VN":0.778834,"STSBenchmark-VN":0.811484,"SciDocsRR-VN":0.817383,"SciFact-VN":0.62312,"SprintDuplicateQuestions-VN":0.968874,"StackExchangeClustering-VN":0.584207,"StackExchangeClusteringP2P-VN":0.326202,"StackOverflowDupQuestions-VN":0.502881,"TRECCOVID-VN":0.66224,"Touche2020-VN":0.21527,"ToxicConversationsVNClassification":0.686865,"TweetSentimentExtractionVNClassification":0.577724,"TwentyNewsgroupsClustering-VN":0.378324,"TwitterSemEval2015-VN":0.709873,"TwitterURLCorpus-VN":0.857928} scoresByTaskType {"Classification":0.6742635416666666,"Clustering":0.45900739999999995,"PairClassification":0.8455583333333333,"Reranking":0.6469999999999999,"Retrieval":0.39841208333333333,"STS":0.7884333333333333} trainedOnTasks ["HotpotQA-VN","MSMARCO-VN","NQ-VN"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/VN-MTEB%20(vie%2C%20v1)/scores) Source MTEB Original model label BAAI/bge-m3 Observed 2026-10-21T16:40:38.399Z Evidence SHA-256 `65e2e66d9e4b93fcd9e3a8adbe2a15d048cf7b4df821714b7966df0fd7692258` Source locator `/rows/9` |  |  |  |
| 2 | [Multilingual-E5-Large](https://benchize.com/models/multilingual-e5-large.md) | 0.52source score |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.5151633200000001 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.6253200666666667 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 92 ### Reported statistics experiments Not reported rank 15 scoresByTask {"AmazonCounterfactualVNClassification":0.607082,"AmazonPolarityVNClassification":0.764192,"AmazonReviewsVNClassification":0.396758,"ArguAna-VN":0.47883,"AskUbuntuDupQuestions-VN":0.613241,"BIOSSES-VN":0.816868,"Banking77VNClassification":0.737426,"CQADupstackAndroid-VN":0.42279,"CQADupstackGis-VN":0.31281,"CQADupstackMathematica-VN":0.24057,"CQADupstackPhysics-VN":0.36531,"CQADupstackProgrammers-VN":0.34531,"CQADupstackStats-VN":0.27806,"CQADupstackTex-VN":0.22683,"CQADupstackUnix-VN":0.3362,"CQADupstackWebmasters-VN":0.33068,"CQADupstackWordpress-VN":0.25557,"ClimateFEVER-VN":0.15426,"DBPedia-VN":0.31584,"EmotionVNClassification":0.41548700000000005,"FEVER-VN":0.58297,"FiQA2018-VN":0.31511,"HotpotQA-VN":0.65109,"ImdbVNClassification":0.726819,"MSMARCO-VN":0.39078,"MTOPDomainVNClassification":0.847491,"MTOPIntentVNClassification":0.573268,"MassiveIntentVNClassification":0.657343,"MassiveScenarioVNClassification":0.683166,"NFCorpus-VN":0.31502,"NQ-VN":0.52316,"Quora-VN":0.66494,"RedditClustering-VN":0.420788,"RedditClusteringP2P-VN":0.606342,"SCIDOCS-VN":0.13736,"SICK-R-VN":0.782248,"STSBenchmark-VN":0.820296,"SciDocsRR-VN":0.819875,"SciFact-VN":0.68496,"SprintDuplicateQuestions-VN":0.9430540000000001,"StackExchangeClustering-VN":0.563929,"StackExchangeClusteringP2P-VN":0.320292,"StackOverflowDupQuestions-VN":0.48884,"TRECCOVID-VN":0.54706,"Touche2020-VN":0.16012,"ToxicConversationsVNClassification":0.642627,"TweetSentimentExtractionVNClassification":0.522906,"TwentyNewsgroupsClustering-VN":0.376911,"TwitterSemEval2015-VN":0.717808,"TwitterURLCorpus-VN":0.857479} scoresByTaskType {"Classification":0.63121375,"Clustering":0.4576524,"PairClassification":0.8394470000000002,"Reranking":0.6406520000000001,"Retrieval":0.3764845833333334,"STS":0.8064706666666667} trainedOnTasks ["FEVER-VN","HotpotQA-VN","MSMARCO-VN","NQ-VN"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/VN-MTEB%20(vie%2C%20v1)/scores) Source MTEB Original model label intfloat/multilingual-e5-large Observed 2026-10-21T16:40:38.399Z Evidence SHA-256 `65e2e66d9e4b93fcd9e3a8adbe2a15d048cf7b4df821714b7966df0fd7692258` Source locator `/rows/14` |  |  |  |
| 3 | [all-MiniLM-L12-v2](https://benchize.com/models/all-minilm-l12-v2.md) | 0.31source score |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.30832750000000003 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.44323387222222227 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 96 ### Reported statistics experiments Not reported rank 32 scoresByTask {"AmazonCounterfactualVNClassification":0.573605,"AmazonPolarityVNClassification":0.553953,"AmazonReviewsVNClassification":0.272167,"ArguAna-VN":0.09892,"AskUbuntuDupQuestions-VN":0.536352,"BIOSSES-VN":0.64143,"Banking77VNClassification":0.508032,"CQADupstackAndroid-VN":0.2084,"CQADupstackGis-VN":0.13805,"CQADupstackMathematica-VN":0.0972,"CQADupstackPhysics-VN":0.1454,"CQADupstackProgrammers-VN":0.14721,"CQADupstackStats-VN":0.14797,"CQADupstackTex-VN":0.10528,"CQADupstackUnix-VN":0.16437,"CQADupstackWebmasters-VN":0.16515,"CQADupstackWordpress-VN":0.13225,"ClimateFEVER-VN":0.01629,"DBPedia-VN":0.14813,"EmotionVNClassification":0.19627,"FEVER-VN":0.29398,"FiQA2018-VN":0.04313,"HotpotQA-VN":0.17162,"ImdbVNClassification":0.515321,"MSMARCO-VN":0.09409,"MTOPDomainVNClassification":0.588962,"MTOPIntentVNClassification":0.304296,"MassiveIntentVNClassification":0.423935,"MassiveScenarioVNClassification":0.478412,"NFCorpus-VN":0.17321,"NQ-VN":0.1079,"Quora-VN":0.26548,"RedditClustering-VN":0.179731,"RedditClusteringP2P-VN":0.31448,"SCIDOCS-VN":0.05391,"SICK-R-VN":0.619246,"STSBenchmark-VN":0.609376,"SciDocsRR-VN":0.64152,"SciFact-VN":0.26751,"SprintDuplicateQuestions-VN":0.77955,"StackExchangeClustering-VN":0.219062,"StackExchangeClusteringP2P-VN":0.294867,"StackOverflowDupQuestions-VN":0.392032,"TRECCOVID-VN":0.18113,"Touche2020-VN":0.02684,"ToxicConversationsVNClassification":0.517041,"TweetSentimentExtractionVNClassification":0.376998,"TwentyNewsgroupsClustering-VN":0.209807,"TwitterSemEval2015-VN":0.501988,"TwitterURLCorpus-VN":0.774522} scoresByTaskType {"Classification":0.442416,"Clustering":0.24358939999999998,"PairClassification":0.6853533333333334,"Reranking":0.5233013333333334,"Retrieval":0.1413925,"STS":0.6233506666666667} trainedOnTasks ["MSMARCO-VN","NQ-VN"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/VN-MTEB%20(vie%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L12-v2 Observed 2026-10-21T16:40:38.399Z Evidence SHA-256 `65e2e66d9e4b93fcd9e3a8adbe2a15d048cf7b4df821714b7966df0fd7692258` Source locator `/rows/31` |  |  |  |
| 4 | [all-MiniLM-L6-v2](https://benchize.com/models/all-minilm-l6-v2.md) | 0.28source score |  |
| ### Original source values \| Metric \| Value \| Unit \| Scope \| Direction \| \| --- \| --- \| --- \| --- \| --- \| \| `mean_task` \| 0.2753259 \| source_score \| source_published_aggregate \| Higher is better \| \| `mean_task_type` \| 0.4124879458333333 \| source_score \| source_published_aggregate \| Higher is better \| ### Configuration zeroShotPct 96 ### Reported statistics experiments Not reported rank 33 scoresByTask {"AmazonCounterfactualVNClassification":0.561159,"AmazonPolarityVNClassification":0.561859,"AmazonReviewsVNClassification":0.269889,"ArguAna-VN":0.07672,"AskUbuntuDupQuestions-VN":0.535151,"BIOSSES-VN":0.56088,"Banking77VNClassification":0.489361,"CQADupstackAndroid-VN":0.17253,"CQADupstackGis-VN":0.09188,"CQADupstackMathematica-VN":0.0662,"CQADupstackPhysics-VN":0.10188,"CQADupstackProgrammers-VN":0.07772,"CQADupstackStats-VN":0.07475,"CQADupstackTex-VN":0.06068,"CQADupstackUnix-VN":0.11777,"CQADupstackWebmasters-VN":0.09565,"CQADupstackWordpress-VN":0.0854,"ClimateFEVER-VN":0.00398,"DBPedia-VN":0.10896,"EmotionVNClassification":0.1934335,"FEVER-VN":0.12351,"FiQA2018-VN":0.01445,"HotpotQA-VN":0.13313,"ImdbVNClassification":0.542353,"MSMARCO-VN":0.08163,"MTOPDomainVNClassification":0.564149,"MTOPIntentVNClassification":0.29933,"MassiveIntentVNClassification":0.414742,"MassiveScenarioVNClassification":0.459004,"NFCorpus-VN":0.14054,"NQ-VN":0.07442,"Quora-VN":0.20432,"RedditClustering-VN":0.132346,"RedditClusteringP2P-VN":0.276082,"SCIDOCS-VN":0.03607,"SICK-R-VN":0.620528,"STSBenchmark-VN":0.566218,"SciDocsRR-VN":0.619292,"SciFact-VN":0.20931,"SprintDuplicateQuestions-VN":0.6479735,"StackExchangeClustering-VN":0.166246,"StackExchangeClusteringP2P-VN":0.248947,"StackOverflowDupQuestions-VN":0.379503,"TRECCOVID-VN":0.11748,"Touche2020-VN":0.02655,"ToxicConversationsVNClassification":0.502295,"TweetSentimentExtractionVNClassification":0.375545,"TwentyNewsgroupsClustering-VN":0.196588,"TwitterSemEval2015-VN":0.52326,"TwitterURLCorpus-VN":0.764631} scoresByTaskType {"Classification":0.43609329166666666,"Clustering":0.2040418,"PairClassification":0.6452881666666667,"Reranking":0.5113153333333333,"Retrieval":0.09564708333333333,"STS":0.582542} trainedOnTasks ["MSMARCO-VN","NQ-VN"] ### Source [Original source](https://mteb-leaderboard-backend.hf.space/v1/benchmarks/VN-MTEB%20(vie%2C%20v1)/scores) Source MTEB Original model label sentence-transformers/all-MiniLM-L6-v2 Observed 2026-10-21T16:40:38.399Z Evidence SHA-256 `65e2e66d9e4b93fcd9e3a8adbe2a15d048cf7b4df821714b7966df0fd7692258` Source locator `/rows/32` |  |  |  |

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Cite as: VN-MTEB (vie, v1) · Vietnamese — Benchize, https://benchize.com/benchmarks/mteb%3AVN-MTEB%20(vie%2C%20v1) (retrieved 2026-10-21)