
This is a part of the [MTEB test](https://huggingface.co/spaces/mteb/leaderboard).

```
# !pip install tensorflow_text 

import tensorflow_hub as hub
from tensorflow_text import SentencepieceTokenizer
import tensorflow as tf

embedder=hub.load("https://tfhub.dev/google/universal-sentence-encoder-multilingual-large/3")

class USE():
    def encode(self, sentences, batch_size=32, **kwargs):
        embeddings = []
        for i in range(0, len(sentences), batch_size):
            batch_sentences = sentences[i:i+batch_size]
            batch_embeddings = embedder(batch_sentences)
            embeddings.extend(batch_embeddings)
        return embeddings


model = USE()
```
{"tags": ["mteb"], "model-index": [{"name": "universal-sentence-encoder-multilingual-large-3", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/amazon_counterfactual", "config": "en", "split": "test", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205"}, "metrics": [{"type": "accuracy", "value": 70.80597014925372}, {"type": "ap", "value": 32.82048192776259}, {"type": "f1", "value": 64.5323001151201}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonPolarityClassification", "type": "mteb/amazon_polarity", "config": "default", "split": "test", "revision": "e2d317d38cd51312af73b3d32a06d1a08b442046"}, "metrics": [{"type": "accuracy", "value": 67.04549999999999}, {"type": "ap", "value": 61.7344066191823}, {"type": "f1", "value": 66.66233213924507}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonReviewsClassification (en)", "type": "mteb/amazon_reviews_multi", "config": "en", "split": "test", "revision": "1399c76144fd37290681b995c656ef9b2e06e26d"}, "metrics": [{"type": "accuracy", "value": 35.85}, {"type": "f1", "value": 35.332188148679464}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB ArxivClusteringP2P", "type": "mteb/arxiv-clustering-p2p", "config": "default", "split": "test", "revision": "a122ad7f3f0291bf49cc6f4d32aa80929df69d5d"}, "metrics": [{"type": "v_measure", "value": 34.745135349238126}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB ArxivClusteringS2S", "type": "mteb/arxiv-clustering-s2s", "config": "default", "split": "test", "revision": "f910caf1a6075f7329cdf8c1a6135696f37dbd53"}, "metrics": [{"type": "v_measure", "value": 22.620886813816306}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB BIOSSES", "type": "mteb/biosses-sts", "config": "default", "split": "test", "revision": "d3fb88f8f02e40887cd149695127462bbcf29b4a"}, "metrics": [{"type": "cos_sim_pearson", "value": 80.30945408208555}, {"type": "cos_sim_spearman", "value": 79.13734536677386}, {"type": "euclidean_pearson", "value": 78.92356402711572}, {"type": "euclidean_spearman", "value": 79.13734536677386}, {"type": "manhattan_pearson", "value": 79.0536298599996}, {"type": "manhattan_spearman", "value": 79.15240595090333}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB Banking77Classification", "type": "mteb/banking77", "config": "default", "split": "test", "revision": "0fd18e25b25c072e09e0d92ab615fda904d66300"}, "metrics": [{"type": "accuracy", "value": 74.66883116883116}, {"type": "f1", "value": 73.79377347715479}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB BiorxivClusteringP2P", "type": "mteb/biorxiv-clustering-p2p", "config": "default", "split": "test", "revision": "65b79d1d13f80053f67aca9498d9402c2d9f1f40"}, "metrics": [{"type": "v_measure", "value": 28.750702236182818}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB BiorxivClusteringS2S", "type": "mteb/biorxiv-clustering-s2s", "config": "default", "split": "test", "revision": "258694dd0231531bc1fd9de6ceb52a0853c6d908"}, "metrics": [{"type": "v_measure", "value": 20.142702408387194}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB EmotionClassification", "type": "mteb/emotion", "config": "default", "split": "test", "revision": "4f58c6b202a23cf9a4da393831edf4f9183cad37"}, "metrics": [{"type": "accuracy", "value": 42.30500000000001}, {"type": "f1", "value": 38.547388314307206}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB ImdbClassification", "type": "mteb/imdb", "config": "default", "split": "test", "revision": "3d86128a09e091d6018b6d26cad27f2739fc2db7"}, "metrics": [{"type": "accuracy", "value": 63.690000000000005}, {"type": "ap", "value": 59.157513278784734}, {"type": "f1", "value": 63.35865572988864}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MTOPDomainClassification (en)", "type": "mteb/mtop_domain", "config": "en", "split": "test", "revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf"}, "metrics": [{"type": "accuracy", "value": 92.48062015503875}, {"type": "f1", "value": 92.14919344822017}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MTOPIntentClassification (en)", "type": "mteb/mtop_intent", "config": "en", "split": "test", "revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba"}, "metrics": [{"type": "accuracy", "value": 70.26675786593708}, {"type": "f1", "value": 47.72003620900994}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MassiveIntentClassification (en)", "type": "mteb/amazon_massive_intent", "config": "en", "split": "test", "revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7"}, "metrics": [{"type": "accuracy", "value": 69.04505716207129}, {"type": "f1", "value": 65.75319040584333}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MassiveScenarioClassification (en)", "type": "mteb/amazon_massive_scenario", "config": "en", "split": "test", "revision": "7d571f92784cd94a019292a1f45445077d0ef634"}, "metrics": [{"type": "accuracy", "value": 75.80363147276395}, {"type": "f1", "value": 74.16118757920125}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB MedrxivClusteringP2P", "type": "mteb/medrxiv-clustering-p2p", "config": "default", "split": "test", "revision": "e7a26af6f3ae46b30dde8737f02c07b1505bcc73"}, "metrics": [{"type": "v_measure", "value": 31.197732425855694}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB MedrxivClusteringS2S", "type": "mteb/medrxiv-clustering-s2s", "config": "default", "split": "test", "revision": "35191c8c0dca72d8ff3efcd72aa802307d469663"}, "metrics": [{"type": "v_measure", "value": 25.802309075396522}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB RedditClustering", "type": "mteb/reddit-clustering", "config": "default", "split": "test", "revision": "24640382cdbf8abc73003fb0fa6d111a705499eb"}, "metrics": [{"type": "v_measure", "value": 46.17008358584782}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB RedditClusteringP2P", "type": "mteb/reddit-clustering-p2p", "config": "default", "split": "test", "revision": "282350215ef01743dc01b456c7f5241fa8937f16"}, "metrics": [{"type": "v_measure", "value": 56.53148530944687}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB SICK-R", "type": "mteb/sickr-sts", "config": "default", "split": "test", "revision": "a6ea5a8cab320b040a23452cc28066d9beae2cee"}, "metrics": [{"type": "cos_sim_pearson", "value": 81.9794493404352}, {"type": "cos_sim_spearman", "value": 76.42957100142304}, {"type": "euclidean_pearson", "value": 78.82942656726047}, {"type": "euclidean_spearman", "value": 76.4295710840889}, {"type": "manhattan_pearson", "value": 78.13314706410813}, {"type": "manhattan_spearman", "value": 74.9822593004123}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS12", "type": "mteb/sts12-sts", "config": "default", "split": "test", "revision": "a0d554a64d88156834ff5ae9920b964011b16384"}, "metrics": [{"type": "cos_sim_pearson", "value": 80.7673081071098}, {"type": "cos_sim_spearman", "value": 74.24891322087522}, {"type": "euclidean_pearson", "value": 76.52411182468802}, {"type": "euclidean_spearman", "value": 74.24929140605082}, {"type": "manhattan_pearson", "value": 76.8324387036746}, {"type": "manhattan_spearman", "value": 74.53614579807713}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS13", "type": "mteb/sts13-sts", "config": "default", "split": "test", "revision": "7e90230a92c190f1bf69ae9002b8cea547a64cca"}, "metrics": [{"type": "cos_sim_pearson", "value": 69.28614557615222}, {"type": "cos_sim_spearman", "value": 71.81704450585194}, {"type": "euclidean_pearson", "value": 71.1658590877318}, {"type": "euclidean_spearman", "value": 71.81704444201455}, {"type": "manhattan_pearson", "value": 71.36497478266207}, {"type": "manhattan_spearman", "value": 72.06541804714345}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS14", "type": "mteb/sts14-sts", "config": "default", "split": "test", "revision": "6031580fec1f6af667f0bd2da0a551cf4f0b2375"}, "metrics": [{"type": "cos_sim_pearson", "value": 74.87060297964618}, {"type": "cos_sim_spearman", "value": 71.3835314374386}, {"type": "euclidean_pearson", "value": 73.38159929423239}, {"type": "euclidean_spearman", "value": 71.38353144149953}, {"type": "manhattan_pearson", "value": 73.52351725668174}, {"type": "manhattan_spearman", "value": 71.51640478420119}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS15", "type": "mteb/sts15-sts", "config": "default", "split": "test", "revision": "ae752c7c21bf194d8b67fd573edf7ae58183cbe3"}, "metrics": [{"type": "cos_sim_pearson", "value": 82.0540026051573}, {"type": "cos_sim_spearman", "value": 82.4705078026881}, {"type": "euclidean_pearson", "value": 81.93203207566977}, {"type": "euclidean_spearman", "value": 82.47050765607385}, {"type": "manhattan_pearson", "value": 81.95496687772686}, {"type": "manhattan_spearman", "value": 82.32489988477197}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS16", "type": "mteb/sts16-sts", "config": "default", "split": "test", "revision": "4d8694f8f0e0100860b497b999b3dbed754a0513"}, "metrics": [{"type": "cos_sim_pearson", "value": 76.11630455802185}, {"type": "cos_sim_spearman", "value": 77.53749233675596}, {"type": "euclidean_pearson", "value": 77.21678350170754}, {"type": "euclidean_spearman", "value": 77.53749219731857}, {"type": "manhattan_pearson", "value": 77.0111066160541}, {"type": "manhattan_spearman", "value": 77.19561900456223}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS17 (en-en)", "type": "mteb/sts17-crosslingual-sts", "config": "en-en", "split": "test", "revision": "af5e6fb845001ecf41f4c1e033ce921939a2a68d"}, "metrics": [{"type": "cos_sim_pearson", "value": 86.04867872683484}, {"type": "cos_sim_spearman", "value": 86.38343806077555}, {"type": "euclidean_pearson", "value": 86.62923572982524}, {"type": "euclidean_spearman", "value": 86.38343806077555}, {"type": "manhattan_pearson", "value": 85.88819314699656}, {"type": "manhattan_spearman", "value": 85.40841620897656}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS22 (en)", "type": "mteb/sts22-crosslingual-sts", "config": "en", "split": "test", "revision": "6d1ba47164174a496b7fa5d3569dae26a6813b80"}, "metrics": [{"type": "cos_sim_pearson", "value": 50.81940075037091}, {"type": "cos_sim_spearman", "value": 52.853775517979265}, {"type": "euclidean_pearson", "value": 53.19987444831206}, {"type": "euclidean_spearman", "value": 52.853775517979265}, {"type": "manhattan_pearson", "value": 53.10152120352485}, {"type": "manhattan_spearman", "value": 52.882886362489124}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STSBenchmark", "type": "mteb/stsbenchmark-sts", "config": "default", "split": "test", "revision": "b0fddb56ed78048fa8b90373c8a3cfc37b684831"}, "metrics": [{"type": "cos_sim_pearson", "value": 82.15848984078094}, {"type": "cos_sim_spearman", "value": 81.24223670044107}, {"type": "euclidean_pearson", "value": 81.80955840510725}, {"type": "euclidean_spearman", "value": 81.24224792494685}, {"type": "manhattan_pearson", "value": 81.20700319509191}, {"type": "manhattan_spearman", "value": 80.56078137874846}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB SprintDuplicateQuestions", "type": "mteb/sprintduplicatequestions-pairclassification", "config": "default", "split": "test", "revision": "d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46"}, "metrics": [{"type": "cos_sim_accuracy", "value": 99.71089108910891}, {"type": "cos_sim_ap", "value": 90.8870929231928}, {"type": "cos_sim_f1", "value": 85.3719420868697}, {"type": "cos_sim_precision", "value": 85.24426719840478}, {"type": "cos_sim_recall", "value": 85.5}, {"type": "dot_accuracy", "value": 99.71089108910891}, {"type": "dot_ap", "value": 90.88709292319278}, {"type": "dot_f1", "value": 85.3719420868697}, {"type": "dot_precision", "value": 85.24426719840478}, {"type": "dot_recall", "value": 85.5}, {"type": "euclidean_accuracy", "value": 99.71089108910891}, {"type": "euclidean_ap", "value": 90.8870929231928}, {"type": "euclidean_f1", "value": 85.3719420868697}, {"type": "euclidean_precision", "value": 85.24426719840478}, {"type": "euclidean_recall", "value": 85.5}, {"type": "manhattan_accuracy", "value": 99.72871287128713}, {"type": "manhattan_ap", "value": 91.50016707647607}, {"type": "manhattan_f1", "value": 86.21700879765396}, {"type": "manhattan_precision", "value": 84.32122370936902}, {"type": "manhattan_recall", "value": 88.2}, {"type": "max_accuracy", "value": 99.72871287128713}, {"type": "max_ap", "value": 91.50016707647607}, {"type": "max_f1", "value": 86.21700879765396}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB StackExchangeClustering", "type": "mteb/stackexchange-clustering", "config": "default", "split": "test", "revision": "6cbc1f7b2bc0622f2e39d2c77fa502909748c259"}, "metrics": [{"type": "v_measure", "value": 49.339384566987555}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB StackExchangeClusteringP2P", "type": "mteb/stackexchange-clustering-p2p", "config": "default", "split": "test", "revision": "815ca46b2622cec33ccafc3735d572c266efdb44"}, "metrics": [{"type": "v_measure", "value": 33.39729645390336}]}, {"task": {"type": "Summarization"}, "dataset": {"name": "MTEB SummEval", "type": "mteb/summeval", "config": "default", "split": "test", "revision": "cda12ad7615edc362dbf25a00fdd61d3b1eaf93c"}, "metrics": [{"type": "cos_sim_pearson", "value": 30.459235703560942}, {"type": "cos_sim_spearman", "value": 29.710719599360587}, {"type": "dot_pearson", "value": 30.459236115198866}, {"type": "dot_spearman", "value": 29.714606257782066}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB ToxicConversationsClassification", "type": "mteb/toxic_conversations_50k", "config": "default", "split": "test", "revision": "d7c0de2777da35d6aae2200a62c6e0e5af397c4c"}, "metrics": [{"type": "accuracy", "value": 68.223}, {"type": "ap", "value": 13.10327282975004}, {"type": "f1", "value": 52.52588280152648}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB TweetSentimentExtractionClassification", "type": "mteb/tweet_sentiment_extraction", "config": "default", "split": "test", "revision": "d604517c81ca91fe16a244d1248fc021f9ecee7a"}, "metrics": [{"type": "accuracy", "value": 59.18788907753254}, {"type": "f1", "value": 59.47679105840768}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB TwentyNewsgroupsClustering", "type": "mteb/twentynewsgroups-clustering", "config": "default", "split": "test", "revision": "6125ec4e24fa026cec8a478383ee943acfbd5449"}, "metrics": [{"type": "v_measure", "value": 36.93253191095803}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB TwitterSemEval2015", "type": "mteb/twittersemeval2015-pairclassification", "config": "default", "split": "test", "revision": "70970daeab8776df92f5ea462b6173c0b46fd2d1"}, "metrics": [{"type": "cos_sim_accuracy", "value": 83.37009000417238}, {"type": "cos_sim_ap", "value": 63.75973129735431}, {"type": "cos_sim_f1", "value": 59.62504595025121}, {"type": "cos_sim_precision", "value": 55.66231983527798}, {"type": "cos_sim_recall", "value": 64.1952506596306}, {"type": "dot_accuracy", "value": 83.37009000417238}, {"type": "dot_ap", "value": 63.759728820348414}, {"type": "dot_f1", "value": 59.62504595025121}, {"type": "dot_precision", "value": 55.66231983527798}, {"type": "dot_recall", "value": 64.1952506596306}, {"type": "euclidean_accuracy", "value": 83.37009000417238}, {"type": "euclidean_ap", "value": 63.75972622477462}, {"type": "euclidean_f1", "value": 59.62504595025121}, {"type": "euclidean_precision", "value": 55.66231983527798}, {"type": "euclidean_recall", "value": 64.1952506596306}, {"type": "manhattan_accuracy", "value": 83.28068188591524}, {"type": "manhattan_ap", "value": 63.109413220673375}, {"type": "manhattan_f1", "value": 59.085923217550274}, {"type": "manhattan_precision", "value": 54.903737259343146}, {"type": "manhattan_recall", "value": 63.95778364116095}, {"type": "max_accuracy", "value": 83.37009000417238}, {"type": "max_ap", "value": 63.75973129735431}, {"type": "max_f1", "value": 59.62504595025121}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB TwitterURLCorpus", "type": "mteb/twitterurlcorpus-pairclassification", "config": "default", "split": "test", "revision": "8b6510b0b1fa4e4c4f879467980e9be563ec1cdf"}, "metrics": [{"type": "cos_sim_accuracy", "value": 88.34167733923235}, {"type": "cos_sim_ap", "value": 84.20066403502292}, {"type": "cos_sim_f1", "value": 76.64693381906498}, {"type": "cos_sim_precision", "value": 75.56869200838072}, {"type": "cos_sim_recall", "value": 77.75639051432091}, {"type": "dot_accuracy", "value": 88.34167733923235}, {"type": "dot_ap", "value": 84.20066476075668}, {"type": "dot_f1", "value": 76.64693381906498}, {"type": "dot_precision", "value": 75.56869200838072}, {"type": "dot_recall", "value": 77.75639051432091}, {"type": "euclidean_accuracy", "value": 88.34167733923235}, {"type": "euclidean_ap", "value": 84.20066533105057}, {"type": "euclidean_f1", "value": 76.64693381906498}, {"type": "euclidean_precision", "value": 75.56869200838072}, {"type": "euclidean_recall", "value": 77.75639051432091}, {"type": "manhattan_accuracy", "value": 88.32809407381535}, {"type": "manhattan_ap", "value": 84.17666758732113}, {"type": "manhattan_f1", "value": 76.6911654417279}, {"type": "manhattan_precision", "value": 74.75146198830409}, {"type": "manhattan_recall", "value": 78.73421619956883}, {"type": "max_accuracy", "value": 88.34167733923235}, {"type": "max_ap", "value": 84.20066533105057}, {"type": "max_f1", "value": 76.6911654417279}]}]}]}
mteb model-index region:us
TAGS
#mteb #model-index #region-us 


This is a part of the MTEB test.


TAGS
#mteb #model-index #region-us 

TAGS
#mteb #model-index #region-us 
