
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-4", "results": [{"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonCounterfactualClassification (en)", "type": "mteb/amazon_counterfactual", "config": "en", "split": "test", "revision": "e8379541af4e31359cca9fbcf4b00f2671dba205"}, "metrics": [{"type": "accuracy", "value": 70.67164179104478}, {"type": "ap", "value": 32.834763426716584}, {"type": "f1", "value": 64.42714654873818}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonPolarityClassification", "type": "mteb/amazon_polarity", "config": "default", "split": "test", "revision": "e2d317d38cd51312af73b3d32a06d1a08b442046"}, "metrics": [{"type": "accuracy", "value": 67.73207500000001}, {"type": "ap", "value": 62.47524029220297}, {"type": "f1", "value": 67.48570902687877}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB AmazonReviewsClassification (en)", "type": "mteb/amazon_reviews_multi", "config": "en", "split": "test", "revision": "1399c76144fd37290681b995c656ef9b2e06e26d"}, "metrics": [{"type": "accuracy", "value": 32.62}, {"type": "f1", "value": 32.13548057908922}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB ArxivClusteringP2P", "type": "mteb/arxiv-clustering-p2p", "config": "default", "split": "test", "revision": "a122ad7f3f0291bf49cc6f4d32aa80929df69d5d"}, "metrics": [{"type": "v_measure", "value": 35.12555128655114}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB ArxivClusteringS2S", "type": "mteb/arxiv-clustering-s2s", "config": "default", "split": "test", "revision": "f910caf1a6075f7329cdf8c1a6135696f37dbd53"}, "metrics": [{"type": "v_measure", "value": 23.456590839508902}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB BIOSSES", "type": "mteb/biosses-sts", "config": "default", "split": "test", "revision": "d3fb88f8f02e40887cd149695127462bbcf29b4a"}, "metrics": [{"type": "cos_sim_pearson", "value": 64.7357059982867}, {"type": "cos_sim_spearman", "value": 63.37975740377988}, {"type": "euclidean_pearson", "value": 63.49896800825232}, {"type": "euclidean_spearman", "value": 63.37975740377988}, {"type": "manhattan_pearson", "value": 64.00838198208166}, {"type": "manhattan_spearman", "value": 63.31710537380123}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB Banking77Classification", "type": "mteb/banking77", "config": "default", "split": "test", "revision": "0fd18e25b25c072e09e0d92ab615fda904d66300"}, "metrics": [{"type": "accuracy", "value": 74.12012987012989}, {"type": "f1", "value": 73.23976030012078}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB BiorxivClusteringP2P", "type": "mteb/biorxiv-clustering-p2p", "config": "default", "split": "test", "revision": "65b79d1d13f80053f67aca9498d9402c2d9f1f40"}, "metrics": [{"type": "v_measure", "value": 31.169576856541603}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB BiorxivClusteringS2S", "type": "mteb/biorxiv-clustering-s2s", "config": "default", "split": "test", "revision": "258694dd0231531bc1fd9de6ceb52a0853c6d908"}, "metrics": [{"type": "v_measure", "value": 18.81055418061209}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB EmotionClassification", "type": "mteb/emotion", "config": "default", "split": "test", "revision": "4f58c6b202a23cf9a4da393831edf4f9183cad37"}, "metrics": [{"type": "accuracy", "value": 38.64000000000001}, {"type": "f1", "value": 35.09699868913662}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB ImdbClassification", "type": "mteb/imdb", "config": "default", "split": "test", "revision": "3d86128a09e091d6018b6d26cad27f2739fc2db7"}, "metrics": [{"type": "accuracy", "value": 68.43239999999999}, {"type": "ap", "value": 62.76719976357937}, {"type": "f1", "value": 68.3208799558774}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MTOPDomainClassification (en)", "type": "mteb/mtop_domain", "config": "en", "split": "test", "revision": "d80d48c1eb48d3562165c59d59d0034df9fff0bf"}, "metrics": [{"type": "accuracy", "value": 90.11627906976744}, {"type": "f1", "value": 89.69218132313695}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MTOPIntentClassification (en)", "type": "mteb/mtop_intent", "config": "en", "split": "test", "revision": "ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba"}, "metrics": [{"type": "accuracy", "value": 64.9954400364797}, {"type": "f1", "value": 46.61477433032086}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MassiveIntentClassification (en)", "type": "mteb/amazon_massive_intent", "config": "en", "split": "test", "revision": "31efe3c427b0bae9c22cbb560b8f15491cc6bed7"}, "metrics": [{"type": "accuracy", "value": 67.23268325487558}, {"type": "f1", "value": 64.41484453213448}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB MassiveScenarioClassification (en)", "type": "mteb/amazon_massive_scenario", "config": "en", "split": "test", "revision": "7d571f92784cd94a019292a1f45445077d0ef634"}, "metrics": [{"type": "accuracy", "value": 72.78749159381303}, {"type": "f1", "value": 71.69036260308698}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB MedrxivClusteringP2P", "type": "mteb/medrxiv-clustering-p2p", "config": "default", "split": "test", "revision": "e7a26af6f3ae46b30dde8737f02c07b1505bcc73"}, "metrics": [{"type": "v_measure", "value": 28.88138682114816}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB MedrxivClusteringS2S", "type": "mteb/medrxiv-clustering-s2s", "config": "default", "split": "test", "revision": "35191c8c0dca72d8ff3efcd72aa802307d469663"}, "metrics": [{"type": "v_measure", "value": 23.311493283906064}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB RedditClustering", "type": "mteb/reddit-clustering", "config": "default", "split": "test", "revision": "24640382cdbf8abc73003fb0fa6d111a705499eb"}, "metrics": [{"type": "v_measure", "value": 49.71559043766936}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB RedditClusteringP2P", "type": "mteb/reddit-clustering-p2p", "config": "default", "split": "test", "revision": "282350215ef01743dc01b456c7f5241fa8937f16"}, "metrics": [{"type": "v_measure", "value": 57.91704617095672}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB SICK-R", "type": "mteb/sickr-sts", "config": "default", "split": "test", "revision": "a6ea5a8cab320b040a23452cc28066d9beae2cee"}, "metrics": [{"type": "cos_sim_pearson", "value": 77.38041457279672}, {"type": "cos_sim_spearman", "value": 69.79282361714223}, {"type": "euclidean_pearson", "value": 74.02315074475364}, {"type": "euclidean_spearman", "value": 69.79282304260158}, {"type": "manhattan_pearson", "value": 73.01688608657159}, {"type": "manhattan_spearman", "value": 68.22940563625058}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS12", "type": "mteb/sts12-sts", "config": "default", "split": "test", "revision": "a0d554a64d88156834ff5ae9920b964011b16384"}, "metrics": [{"type": "cos_sim_pearson", "value": 72.58420052741107}, {"type": "cos_sim_spearman", "value": 67.05792005966953}, {"type": "euclidean_pearson", "value": 68.35629372749483}, {"type": "euclidean_spearman", "value": 67.05773819854602}, {"type": "manhattan_pearson", "value": 67.12625747442266}, {"type": "manhattan_spearman", "value": 65.7252617197503}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS13", "type": "mteb/sts13-sts", "config": "default", "split": "test", "revision": "7e90230a92c190f1bf69ae9002b8cea547a64cca"}, "metrics": [{"type": "cos_sim_pearson", "value": 69.55548148750847}, {"type": "cos_sim_spearman", "value": 71.54484814980987}, {"type": "euclidean_pearson", "value": 71.22072782671158}, {"type": "euclidean_spearman", "value": 71.54484814980987}, {"type": "manhattan_pearson", "value": 70.3490839338159}, {"type": "manhattan_spearman", "value": 70.76414952692804}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS14", "type": "mteb/sts14-sts", "config": "default", "split": "test", "revision": "6031580fec1f6af667f0bd2da0a551cf4f0b2375"}, "metrics": [{"type": "cos_sim_pearson", "value": 73.74818660795891}, {"type": "cos_sim_spearman", "value": 70.59138342620027}, {"type": "euclidean_pearson", "value": 72.60887534657319}, {"type": "euclidean_spearman", "value": 70.5913727471932}, {"type": "manhattan_pearson", "value": 71.95704368086712}, {"type": "manhattan_spearman", "value": 69.58620240967204}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS15", "type": "mteb/sts15-sts", "config": "default", "split": "test", "revision": "ae752c7c21bf194d8b67fd573edf7ae58183cbe3"}, "metrics": [{"type": "cos_sim_pearson", "value": 79.6360473168554}, {"type": "cos_sim_spearman", "value": 80.26596000690931}, {"type": "euclidean_pearson", "value": 79.82176999472074}, {"type": "euclidean_spearman", "value": 80.26596000690931}, {"type": "manhattan_pearson", "value": 78.94486463380255}, {"type": "manhattan_spearman", "value": 79.20674341072848}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STS16", "type": "mteb/sts16-sts", "config": "default", "split": "test", "revision": "4d8694f8f0e0100860b497b999b3dbed754a0513"}, "metrics": [{"type": "cos_sim_pearson", "value": 74.84322872565855}, {"type": "cos_sim_spearman", "value": 75.75894131062728}, {"type": "euclidean_pearson", "value": 75.5333191548161}, {"type": "euclidean_spearman", "value": 75.75894090191032}, {"type": "manhattan_pearson", "value": 74.96648591478875}, {"type": "manhattan_spearman", "value": 75.07346800275856}]}, {"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": 83.79136005773537}, {"type": "cos_sim_spearman", "value": 84.94411992446793}, {"type": "euclidean_pearson", "value": 83.60843297866558}, {"type": "euclidean_spearman", "value": 84.94411992446793}, {"type": "manhattan_pearson", "value": 82.81698401022742}, {"type": "manhattan_spearman", "value": 84.02022263657062}]}, {"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": 60.02909344132073}, {"type": "cos_sim_spearman", "value": 60.000369508382704}, {"type": "euclidean_pearson", "value": 61.54466129341342}, {"type": "euclidean_spearman", "value": 60.000369508382704}, {"type": "manhattan_pearson", "value": 58.76127065249476}, {"type": "manhattan_spearman", "value": 58.08063159428285}]}, {"task": {"type": "STS"}, "dataset": {"name": "MTEB STSBenchmark", "type": "mteb/stsbenchmark-sts", "config": "default", "split": "test", "revision": "b0fddb56ed78048fa8b90373c8a3cfc37b684831"}, "metrics": [{"type": "cos_sim_pearson", "value": 78.72737325889034}, {"type": "cos_sim_spearman", "value": 77.08420739421672}, {"type": "euclidean_pearson", "value": 77.85606384422326}, {"type": "euclidean_spearman", "value": 77.08420739421672}, {"type": "manhattan_pearson", "value": 76.63643674764234}, {"type": "manhattan_spearman", "value": 75.68141928725497}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB SprintDuplicateQuestions", "type": "mteb/sprintduplicatequestions-pairclassification", "config": "default", "split": "test", "revision": "d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46"}, "metrics": [{"type": "cos_sim_accuracy", "value": 99.61980198019802}, {"type": "cos_sim_ap", "value": 86.36827719686161}, {"type": "cos_sim_f1", "value": 80.35625927758537}, {"type": "cos_sim_precision", "value": 79.52987267384917}, {"type": "cos_sim_recall", "value": 81.2}, {"type": "dot_accuracy", "value": 99.61980198019802}, {"type": "dot_ap", "value": 86.36827719686161}, {"type": "dot_f1", "value": 80.35625927758537}, {"type": "dot_precision", "value": 79.52987267384917}, {"type": "dot_recall", "value": 81.2}, {"type": "euclidean_accuracy", "value": 99.61980198019802}, {"type": "euclidean_ap", "value": 86.3682771543572}, {"type": "euclidean_f1", "value": 80.35625927758537}, {"type": "euclidean_precision", "value": 79.52987267384917}, {"type": "euclidean_recall", "value": 81.2}, {"type": "manhattan_accuracy", "value": 99.63564356435643}, {"type": "manhattan_ap", "value": 87.12233265654545}, {"type": "manhattan_f1", "value": 80.78920041536864}, {"type": "manhattan_precision", "value": 84.01727861771057}, {"type": "manhattan_recall", "value": 77.8}, {"type": "max_accuracy", "value": 99.63564356435643}, {"type": "max_ap", "value": 87.12233265654545}, {"type": "max_f1", "value": 80.78920041536864}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB StackExchangeClustering", "type": "mteb/stackexchange-clustering", "config": "default", "split": "test", "revision": "6cbc1f7b2bc0622f2e39d2c77fa502909748c259"}, "metrics": [{"type": "v_measure", "value": 54.64344160961463}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB StackExchangeClusteringP2P", "type": "mteb/stackexchange-clustering-p2p", "config": "default", "split": "test", "revision": "815ca46b2622cec33ccafc3735d572c266efdb44"}, "metrics": [{"type": "v_measure", "value": 31.57666192425415}]}, {"task": {"type": "Summarization"}, "dataset": {"name": "MTEB SummEval", "type": "mteb/summeval", "config": "default", "split": "test", "revision": "cda12ad7615edc362dbf25a00fdd61d3b1eaf93c"}, "metrics": [{"type": "cos_sim_pearson", "value": 29.77545231337259}, {"type": "cos_sim_spearman", "value": 29.420072483158698}, {"type": "dot_pearson", "value": 29.775453888622426}, {"type": "dot_spearman", "value": 29.420072483158698}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB ToxicConversationsClassification", "type": "mteb/toxic_conversations_50k", "config": "default", "split": "test", "revision": "d7c0de2777da35d6aae2200a62c6e0e5af397c4c"}, "metrics": [{"type": "accuracy", "value": 68.98920000000001}, {"type": "ap", "value": 12.803310864930856}, {"type": "f1", "value": 52.67881359079218}]}, {"task": {"type": "Classification"}, "dataset": {"name": "MTEB TweetSentimentExtractionClassification", "type": "mteb/tweet_sentiment_extraction", "config": "default", "split": "test", "revision": "d604517c81ca91fe16a244d1248fc021f9ecee7a"}, "metrics": [{"type": "accuracy", "value": 57.00622524052065}, {"type": "f1", "value": 57.2232294145327}]}, {"task": {"type": "Clustering"}, "dataset": {"name": "MTEB TwentyNewsgroupsClustering", "type": "mteb/twentynewsgroups-clustering", "config": "default", "split": "test", "revision": "6125ec4e24fa026cec8a478383ee943acfbd5449"}, "metrics": [{"type": "v_measure", "value": 38.23134611732841}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB TwitterSemEval2015", "type": "mteb/twittersemeval2015-pairclassification", "config": "default", "split": "test", "revision": "70970daeab8776df92f5ea462b6173c0b46fd2d1"}, "metrics": [{"type": "cos_sim_accuracy", "value": 82.25546879656673}, {"type": "cos_sim_ap", "value": 60.64429023120581}, {"type": "cos_sim_f1", "value": 57.75789091788608}, {"type": "cos_sim_precision", "value": 53.31547220361688}, {"type": "cos_sim_recall", "value": 63.007915567282325}, {"type": "dot_accuracy", "value": 82.25546879656673}, {"type": "dot_ap", "value": 60.64428864700383}, {"type": "dot_f1", "value": 57.75789091788608}, {"type": "dot_precision", "value": 53.31547220361688}, {"type": "dot_recall", "value": 63.007915567282325}, {"type": "euclidean_accuracy", "value": 82.25546879656673}, {"type": "euclidean_ap", "value": 60.64429357965402}, {"type": "euclidean_f1", "value": 57.75789091788608}, {"type": "euclidean_precision", "value": 53.31547220361688}, {"type": "euclidean_recall", "value": 63.007915567282325}, {"type": "manhattan_accuracy", "value": 82.14221851344102}, {"type": "manhattan_ap", "value": 59.542389876094134}, {"type": "manhattan_f1", "value": 56.935892792466504}, {"type": "manhattan_precision", "value": 52.48163810371689}, {"type": "manhattan_recall", "value": 62.21635883905014}, {"type": "max_accuracy", "value": 82.25546879656673}, {"type": "max_ap", "value": 60.64429357965402}, {"type": "max_f1", "value": 57.75789091788608}]}, {"task": {"type": "PairClassification"}, "dataset": {"name": "MTEB TwitterURLCorpus", "type": "mteb/twitterurlcorpus-pairclassification", "config": "default", "split": "test", "revision": "8b6510b0b1fa4e4c4f879467980e9be563ec1cdf"}, "metrics": [{"type": "cos_sim_accuracy", "value": 86.99305312997244}, {"type": "cos_sim_ap", "value": 81.6822772881566}, {"type": "cos_sim_f1", "value": 73.70381406436233}, {"type": "cos_sim_precision", "value": 71.38528138528139}, {"type": "cos_sim_recall", "value": 76.17801047120419}, {"type": "dot_accuracy", "value": 86.99305312997244}, {"type": "dot_ap", "value": 81.6822783032573}, {"type": "dot_f1", "value": 73.70381406436233}, {"type": "dot_precision", "value": 71.38528138528139}, {"type": "dot_recall", "value": 76.17801047120419}, {"type": "euclidean_accuracy", "value": 86.99305312997244}, {"type": "euclidean_ap", "value": 81.68228020882522}, {"type": "euclidean_f1", "value": 73.70381406436233}, {"type": "euclidean_precision", "value": 71.38528138528139}, {"type": "euclidean_recall", "value": 76.17801047120419}, {"type": "manhattan_accuracy", "value": 86.84557767687352}, {"type": "manhattan_ap", "value": 81.3912803407899}, {"type": "manhattan_f1", "value": 73.48302793631723}, {"type": "manhattan_precision", "value": 71.71650542362944}, {"type": "manhattan_recall", "value": 75.33877425315676}, {"type": "max_accuracy", "value": 86.99305312997244}, {"type": "max_ap", "value": 81.68228020882522}, {"type": "max_f1", "value": 73.70381406436233}]}]}]}
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 
