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-large-5", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/amazon_counterfactual", "config": "en", "split": "test", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205"}, "metrics": [{"type": "accuracy", "value": 76.19402985074628}, {"type": "ap", "value": 39.249966888759666}, {"type": "f1", "value": 70.17510532980124}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonPolarityClassification", "type": "mteb/amazon_polarity", "config": "default", "split": "test", "revision": "e2d317d38cd51312af73b3d32a06d1a08b442046"}, "metrics": [{"type": "accuracy", "value": 69.6285}, {"type": "ap", "value": 63.97317997322299}, {"type": "f1", "value": 69.48624121982243}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonReviewsClassification (en)", "type": "mteb/amazon_reviews_multi", "config": "en", "split": "test", "revision": "1399c76144fd37290681b995c656ef9b2e06e26d"}, "metrics": [{"type": "accuracy", "value": 35.534}, {"type": "f1", "value": 34.974303844745194}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB ArxivClusteringP2P", "type": "mteb/arxiv-clustering-p2p", "config": "default", "split": "test", "revision": "a122ad7f3f0291bf49cc6f4d32aa80929df69d5d"}, "metrics": [{"type": "v_measure", "value": 34.718110225806626}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB ArxivClusteringS2S", "type": "mteb/arxiv-clustering-s2s", "config": "default", "split": "test", "revision": "f910caf1a6075f7329cdf8c1a6135696f37dbd53"}, "metrics": [{"type": "v_measure", "value": 25.267234486849127}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB BIOSSES", "type": "mteb/biosses-sts", "config": "default", "split": "test", "revision": "d3fb88f8f02e40887cd149695127462bbcf29b4a"}, "metrics": [{"type": "cos_sim_pearson", "value": 69.65040443392367}, {"type": "cos_sim_spearman", "value": 69.35579718635816}, {"type": "euclidean_pearson", "value": 68.74078260783044}, {"type": "euclidean_spearman", "value": 69.35579718635816}, {"type": "manhattan_pearson", "value": 68.97023207188357}, {"type": "manhattan_spearman", "value": 69.2063961917937}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB Banking77Classification", "type": "mteb/banking77", "config": "default", "split": "test", "revision": "0fd18e25b25c072e09e0d92ab615fda904d66300"}, "metrics": [{"type": "accuracy", "value": 78.12987012987013}, {"type": "f1", "value": 77.40193921057201}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB BiorxivClusteringP2P", "type": "mteb/biorxiv-clustering-p2p", "config": "default", "split": "test", "revision": "65b79d1d13f80053f67aca9498d9402c2d9f1f40"}, "metrics": [{"type": "v_measure", "value": 28.39184796722482}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB BiorxivClusteringS2S", "type": "mteb/biorxiv-clustering-s2s", "config": "default", "split": "test", "revision": "258694dd0231531bc1fd9de6ceb52a0853c6d908"}, "metrics": [{"type": "v_measure", "value": 20.5151608432177}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB EmotionClassification", "type": "mteb/emotion", "config": "default", "split": "test", "revision": "4f58c6b202a23cf9a4da393831edf4f9183cad37"}, "metrics": [{"type": "accuracy", "value": 45.48}, {"type": "f1", "value": 41.2632839288363}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB ImdbClassification", "type": "mteb/imdb", "config": "default", "split": "test", "revision": "3d86128a09e091d6018b6d26cad27f2739fc2db7"}, "metrics": [{"type": "accuracy", "value": 64.0552}, {"type": "ap", "value": 59.25851636836455}, {"type": "f1", "value": 63.90501571634165}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MTOPDomainClassification (en)", "type": "mteb/mtop_domain", "config": "en", "split": "test", "revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf"}, "metrics": [{"type": "accuracy", "value": 92.94117647058823}, {"type": "f1", "value": 92.7110107115347}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MTOPIntentClassification (en)", "type": "mteb/mtop_intent", "config": "en", "split": "test", "revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba"}, "metrics": [{"type": "accuracy", "value": 74.43456452348381}, {"type": "f1", "value": 52.53178214778298}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MassiveIntentClassification (en)", "type": "mteb/amazon_massive_intent", "config": "en", "split": "test", "revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7"}, "metrics": [{"type": "accuracy", "value": 71.68796234028245}, {"type": "f1", "value": 68.47828954699564}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MassiveScenarioClassification (en)", "type": "mteb/amazon_massive_scenario", "config": "en", "split": "test", "revision": "7d571f92784cd94a019292a1f45445077d0ef634"}, "metrics": [{"type": "accuracy", "value": 77.20242098184264}, {"type": "f1", "value": 76.27977367157321}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB MedrxivClusteringP2P", "type": "mteb/medrxiv-clustering-p2p", "config": "default", "split": "test", "revision": "e7a26af6f3ae46b30dde8737f02c07b1505bcc73"}, "metrics": [{"type": "v_measure", "value": 30.266855488757034}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB MedrxivClusteringS2S", "type": "mteb/medrxiv-clustering-s2s", "config": "default", "split": "test", "revision": "35191c8c0dca72d8ff3efcd72aa802307d469663"}, "metrics": [{"type": "v_measure", "value": 24.580327378539057}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB RedditClustering", "type": "mteb/reddit-clustering", "config": "default", "split": "test", "revision": "24640382cdbf8abc73003fb0fa6d111a705499eb"}, "metrics": [{"type": "v_measure", "value": 56.928616405043684}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB RedditClusteringP2P", "type": "mteb/reddit-clustering-p2p", "config": "default", "split": "test", "revision": "282350215ef01743dc01b456c7f5241fa8937f16"}, "metrics": [{"type": "v_measure", "value": 58.94536303256525}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB SICK-R", "type": "mteb/sickr-sts", "config": "default", "split": "test", "revision": "a6ea5a8cab320b040a23452cc28066d9beae2cee"}, "metrics": [{"type": "cos_sim_pearson", "value": 82.43899708996477}, {"type": "cos_sim_spearman", "value": 76.84011555220044}, {"type": "euclidean_pearson", "value": 79.6116260676631}, {"type": "euclidean_spearman", "value": 76.84012073472658}, {"type": "manhattan_pearson", "value": 78.49980966442152}, {"type": "manhattan_spearman", "value": 75.49233078465171}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS12", "type": "mteb/sts12-sts", "config": "default", "split": "test", "revision": "a0d554a64d88156834ff5ae9920b964011b16384"}, "metrics": [{"type": "cos_sim_pearson", "value": 79.8291506264289}, {"type": "cos_sim_spearman", "value": 72.49093632759003}, {"type": "euclidean_pearson", "value": 75.42130137819414}, {"type": "euclidean_spearman", "value": 72.49048089395136}, {"type": "manhattan_pearson", "value": 74.17957476459091}, {"type": "manhattan_spearman", "value": 71.6143674273714}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS13", "type": "mteb/sts13-sts", "config": "default", "split": "test", "revision": "7e90230a92c190f1bf69ae9002b8cea547a64cca"}, "metrics": [{"type": "cos_sim_pearson", "value": 70.91903439531401}, {"type": "cos_sim_spearman", "value": 73.65106317244273}, {"type": "euclidean_pearson", "value": 73.22383725261588}, {"type": "euclidean_spearman", "value": 73.65106317244273}, {"type": "manhattan_pearson", "value": 72.98314057093636}, {"type": "manhattan_spearman", "value": 73.52101907069579}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS14", "type": "mteb/sts14-sts", "config": "default", "split": "test", "revision": "6031580fec1f6af667f0bd2da0a551cf4f0b2375"}, "metrics": [{"type": "cos_sim_pearson", "value": 75.19632733755482}, {"type": "cos_sim_spearman", "value": 71.88328402076041}, {"type": "euclidean_pearson", "value": 74.02395011081532}, {"type": "euclidean_spearman", "value": 71.88328903479953}, {"type": "manhattan_pearson", "value": 73.52941749980135}, {"type": "manhattan_spearman", "value": 71.32905921324534}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS15", "type": "mteb/sts15-sts", "config": "default", "split": "test", "revision": "ae752c7c21bf194d8b67fd573edf7ae58183cbe3"}, "metrics": [{"type": "cos_sim_pearson", "value": 82.42736501667461}, {"type": "cos_sim_spearman", "value": 82.89997148218205}, {"type": "euclidean_pearson", "value": 82.3189209945513}, {"type": "euclidean_spearman", "value": 82.89997089267106}, {"type": "manhattan_pearson", "value": 81.78597437071429}, {"type": "manhattan_spearman", "value": 82.21582873302081}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS16", "type": "mteb/sts16-sts", "config": "default", "split": "test", "revision": "4d8694f8f0e0100860b497b999b3dbed754a0513"}, "metrics": [{"type": "cos_sim_pearson", "value": 78.44968010602165}, {"type": "cos_sim_spearman", "value": 79.82626284236876}, {"type": "euclidean_pearson", "value": 79.4157474030238}, {"type": "euclidean_spearman", "value": 79.82626269881543}, {"type": "manhattan_pearson", "value": 79.13275737559012}, {"type": "manhattan_spearman", "value": 79.4847570398719}]}, {"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": 84.51882547098218}, {"type": "cos_sim_spearman", "value": 85.19309361840223}, {"type": "euclidean_pearson", "value": 84.78417242196153}, {"type": "euclidean_spearman", "value": 85.19307726106497}, {"type": "manhattan_pearson", "value": 84.09108278425708}, {"type": "manhattan_spearman", "value": 84.13590986630149}]}, {"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": 44.814384769251085}, {"type": "cos_sim_spearman", "value": 48.43949857027059}, {"type": "euclidean_pearson", "value": 47.479132435178855}, {"type": "euclidean_spearman", "value": 48.43949857027059}, {"type": "manhattan_pearson", "value": 47.16203934707649}, {"type": "manhattan_spearman", "value": 48.289920897667095}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STSBenchmark", "type": "mteb/stsbenchmark-sts", "config": "default", "split": "test", "revision": "b0fddb56ed78048fa8b90373c8a3cfc37b684831"}, "metrics": [{"type": "cos_sim_pearson", "value": 81.25646447054616}, {"type": "cos_sim_spearman", "value": 79.93231051166357}, {"type": "euclidean_pearson", "value": 80.65225742476945}, {"type": "euclidean_spearman", "value": 79.93231051166357}, {"type": "manhattan_pearson", "value": 79.84341819764376}, {"type": "manhattan_spearman", "value": 79.07650150491334}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB SprintDuplicateQuestions", "type": "mteb/sprintduplicatequestions-pairclassification", "config": "default", "split": "test", "revision": "d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46"}, "metrics": [{"type": "cos_sim_accuracy", "value": 99.5910891089109}, {"type": "cos_sim_ap", "value": 84.37184771930944}, {"type": "cos_sim_f1", "value": 78.78787878787878}, {"type": "cos_sim_precision", "value": 80.99260823653644}, {"type": "cos_sim_recall", "value": 76.7}, {"type": "dot_accuracy", "value": 99.5910891089109}, {"type": "dot_ap", "value": 84.37184771930944}, {"type": "dot_f1", "value": 78.78787878787878}, {"type": "dot_precision", "value": 80.99260823653644}, {"type": "dot_recall", "value": 76.7}, {"type": "euclidean_accuracy", "value": 99.5910891089109}, {"type": "euclidean_ap", "value": 84.37185436709098}, {"type": "euclidean_f1", "value": 78.78787878787878}, {"type": "euclidean_precision", "value": 80.99260823653644}, {"type": "euclidean_recall", "value": 76.7}, {"type": "manhattan_accuracy", "value": 99.6108910891089}, {"type": "manhattan_ap", "value": 85.13355467581354}, {"type": "manhattan_f1", "value": 80.2788844621514}, {"type": "manhattan_precision", "value": 79.96031746031747}, {"type": "manhattan_recall", "value": 80.60000000000001}, {"type": "max_accuracy", "value": 99.6108910891089}, {"type": "max_ap", "value": 85.13355467581354}, {"type": "max_f1", "value": 80.2788844621514}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB StackExchangeClustering", "type": "mteb/stackexchange-clustering", "config": "default", "split": "test", "revision": "6cbc1f7b2bc0622f2e39d2c77fa502909748c259"}, "metrics": [{"type": "v_measure", "value": 60.8469558550317}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB StackExchangeClusteringP2P", "type": "mteb/stackexchange-clustering-p2p", "config": "default", "split": "test", "revision": "815ca46b2622cec33ccafc3735d572c266efdb44"}, "metrics": [{"type": "v_measure", "value": 33.14392913702168}]}, {"task": {"type": "Summarization"}, "dataset": {"name": "MTEB SummEval", "type": "mteb/summeval", "config": "default", "split": "test", "revision": "cda12ad7615edc362dbf25a00fdd61d3b1eaf93c"}, "metrics": [{"type": "cos_sim_pearson", "value": 29.566148619704457}, {"type": "cos_sim_spearman", "value": 29.01201818902588}, {"type": "dot_pearson", "value": 29.566149876183374}, {"type": "dot_spearman", "value": 29.014046950422795}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB ToxicConversationsClassification", "type": "mteb/toxic_conversations_50k", "config": "default", "split": "test", "revision": "d7c0de2777da35d6aae2200a62c6e0e5af397c4c"}, "metrics": [{"type": "accuracy", "value": 70.17420000000001}, {"type": "ap", "value": 13.49623412034604}, {"type": "f1", "value": 53.7079366494688}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB TweetSentimentExtractionClassification", "type": "mteb/tweet_sentiment_extraction", "config": "default", "split": "test", "revision": "d604517c81ca91fe16a244d1248fc021f9ecee7a"}, "metrics": [{"type": "accuracy", "value": 59.309564233163556}, {"type": "f1", "value": 59.33623172630094}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB TwentyNewsgroupsClustering", "type": "mteb/twentynewsgroups-clustering", "config": "default", "split": "test", "revision": "6125ec4e24fa026cec8a478383ee943acfbd5449"}, "metrics": [{"type": "v_measure", "value": 42.42960819361032}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB TwitterSemEval2015", "type": "mteb/twittersemeval2015-pairclassification", "config": "default", "split": "test", "revision": "70970daeab8776df92f5ea462b6173c0b46fd2d1"}, "metrics": [{"type": "cos_sim_accuracy", "value": 85.04500208618943}, {"type": "cos_sim_ap", "value": 70.12785509302904}, {"type": "cos_sim_f1", "value": 65.36573392243496}, {"type": "cos_sim_precision", "value": 61.10601193207894}, {"type": "cos_sim_recall", "value": 70.26385224274406}, {"type": "dot_accuracy", "value": 85.04500208618943}, {"type": "dot_ap", "value": 70.12785837450095}, {"type": "dot_f1", "value": 65.36573392243496}, {"type": "dot_precision", "value": 61.10601193207894}, {"type": "dot_recall", "value": 70.26385224274406}, {"type": "euclidean_accuracy", "value": 85.04500208618943}, {"type": "euclidean_ap", "value": 70.1278575285826}, {"type": "euclidean_f1", "value": 65.36573392243496}, {"type": "euclidean_precision", "value": 61.10601193207894}, {"type": "euclidean_recall", "value": 70.26385224274406}, {"type": "manhattan_accuracy", "value": 85.03308100375514}, {"type": "manhattan_ap", "value": 69.67192372362932}, {"type": "manhattan_f1", "value": 64.95726495726495}, {"type": "manhattan_precision", "value": 61.218771888862946}, {"type": "manhattan_recall", "value": 69.1820580474934}, {"type": "max_accuracy", "value": 85.04500208618943}, {"type": "max_ap", "value": 70.12785837450095}, {"type": "max_f1", "value": 65.36573392243496}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB TwitterURLCorpus", "type": "mteb/twitterurlcorpus-pairclassification", "config": "default", "split": "test", "revision": "8b6510b0b1fa4e4c4f879467980e9be563ec1cdf"}, "metrics": [{"type": "cos_sim_accuracy", "value": 88.18644002018085}, {"type": "cos_sim_ap", "value": 84.09120337117118}, {"type": "cos_sim_f1", "value": 76.33478718604302}, {"type": "cos_sim_precision", "value": 74.59582598471486}, {"type": "cos_sim_recall", "value": 78.15676008623345}, {"type": "dot_accuracy", "value": 88.18644002018085}, {"type": "dot_ap", "value": 84.09120289232122}, {"type": "dot_f1", "value": 76.33478718604302}, {"type": "dot_precision", "value": 74.59582598471486}, {"type": "dot_recall", "value": 78.15676008623345}, {"type": "euclidean_accuracy", "value": 88.18644002018085}, {"type": "euclidean_ap", "value": 84.091202102378}, {"type": "euclidean_f1", "value": 76.33478718604302}, {"type": "euclidean_precision", "value": 74.59582598471486}, {"type": "euclidean_recall", "value": 78.15676008623345}, {"type": "manhattan_accuracy", "value": 88.19032095315714}, {"type": "manhattan_ap", "value": 84.0865561436236}, {"type": "manhattan_f1", "value": 76.16665422235496}, {"type": "manhattan_precision", "value": 73.93100449340484}, {"type": "manhattan_recall", "value": 78.54173082845703}, {"type": "max_accuracy", "value": 88.19032095315714}, {"type": "max_ap", "value": 84.09120337117118}, {"type": "max_f1", "value": 76.33478718604302}]}]}]}
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 
