Model: Linq-AI-Research/Linq-Embed-Mistral
Author: Linq-AI-Research
Pipeline: feature-extraction
Library: sentence-transformers
Tags: sentence-transformers, safetensors, mistral, feature-extraction, mteb, transformers, en, arxiv:2210.07316, arxiv:2310.06825, arxiv:2401.00368, arxiv:2104.08663, license:cc-by-nc-4.0, model-index, text-generation-inference, text-embeddings-inference, endpoints_compatible, deploy:azure, region:us
Card metadata: tags: mteb, transformers, sentence-transformers
model-index: name: Linq-Embed-Mistral
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 84.43283582089552
verified: no, type: ap
value: 50.39222584035829
verified: no, type: f1
value: 78.47906270064071
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 95.70445
verified: no, type: ap
value: 94.28273900595173
verified: no, type: f1
value: 95.70048412173735
verified: no, task: type: Classification
dataset: type: mteb/amazon_reviews_multi
name: MTEB AmazonReviewsClassification (en)
config: en
split: test
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
metrics: type: accuracy
value: 57.644000000000005
verified: no, type: f1
value: 56.993648296704876
verified: no, task: type: Retrieval
dataset: type: mteb/arguana
name: MTEB ArguAna
config: default
split: test
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
metrics: type: map_at_1
value: 45.804
verified: no, type: map_at_10
value: 61.742
verified: no, type: map_at_100
value: 62.07899999999999
verified: no, type: map_at_1000
value: 62.08
verified: no, type: map_at_3
value: 57.717
verified: no, type: map_at_5
value: 60.27
verified: no, type: mrr_at_1
value: 47.226
verified: no, type: mrr_at_10
value: 62.256
verified: no, type: mrr_at_100
value: 62.601
verified: no, type: mrr_at_1000
value: 62.601
verified: no, type: mrr_at_3
value: 58.203
verified: no, type: mrr_at_5
value: 60.767
verified: no, type: ndcg_at_1
value: 45.804
verified: no, type: ndcg_at_10
value: 69.649
verified: no, type: ndcg_at_100
value: 70.902
verified: no, type: ndcg_at_1000
value: 70.91199999999999
verified: no, type: ndcg_at_3
value: 61.497
verified: no, type: ndcg_at_5
value: 66.097
verified: no, type: precision_at_1
value: 45.804
verified: no, type: precision_at_10
value: 9.452
verified: no, type: precision_at_100
value: 0.996
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 24.135
verified: no, type: precision_at_5
value: 16.714000000000002
verified: no, type: recall_at_1
value: 45.804
verified: no, type: recall_at_10
value: 94.523
verified: no, type: recall_at_100
value: 99.57300000000001
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 72.404
verified: no, type: recall_at_5
value: 83.57
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-p2p
name: MTEB ArxivClusteringP2P
config: default
split: test
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
metrics: type: v_measure
value: 51.47612678878609
verified: no, task: type: Clustering
dataset: type: mteb/arxiv-clustering-s2s
name: MTEB ArxivClusteringS2S
config: default
split: test
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
metrics: type: v_measure
value: 47.2977392340418
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 66.82016765243456
verified: no, type: mrr
value: 79.55227982236292
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_pearson
value: 89.15068664186332
verified: no, type: cos_sim_spearman
value: 86.4013663041054
verified: no, type: euclidean_pearson
value: 87.36391302921588
verified: no, type: euclidean_spearman
value: 86.4013663041054
verified: no, type: manhattan_pearson
value: 87.46116676558589
verified: no, type: manhattan_spearman
value: 86.78149544753352
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 87.88311688311688
verified: no, type: f1
value: 87.82368154811464
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-p2p
name: MTEB BiorxivClusteringP2P
config: default
split: test
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
metrics: type: v_measure
value: 42.72860396750569
verified: no, task: type: Clustering
dataset: type: mteb/biorxiv-clustering-s2s
name: MTEB BiorxivClusteringS2S
config: default
split: test
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
metrics: type: v_measure
value: 39.58412067938718
verified: no, task: type: Retrieval
dataset: type: mteb/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
metrics: type: map_at_1
value: 30.082666666666665
verified: no, type: map_at_10
value: 41.13875
verified: no, type: map_at_100
value: 42.45525
verified: no, type: map_at_1000
value: 42.561249999999994
verified: no, type: map_at_3
value: 37.822750000000006
verified: no, type: map_at_5
value: 39.62658333333333
verified: no, type: mrr_at_1
value: 35.584
verified: no, type: mrr_at_10
value: 45.4675
verified: no, type: mrr_at_100
value: 46.31016666666667
verified: no, type: mrr_at_1000
value: 46.35191666666666
verified: no, type: mrr_at_3
value: 42.86674999999999
verified: no, type: mrr_at_5
value: 44.31341666666666
verified: no, type: ndcg_at_1
value: 35.584
verified: no, type: ndcg_at_10
value: 47.26516666666667
verified: no, type: ndcg_at_100
value: 52.49108333333332
verified: no, type: ndcg_at_1000
value: 54.24575
verified: no, type: ndcg_at_3
value: 41.83433333333334
verified: no, type: ndcg_at_5
value: 44.29899999999999
verified: no, type: precision_at_1
value: 35.584
verified: no, type: precision_at_10
value: 8.390333333333334
verified: no, type: precision_at_100
value: 1.2941666666666667
verified: no, type: precision_at_1000
value: 0.16308333333333336
verified: no, type: precision_at_3
value: 19.414583333333333
verified: no, type: precision_at_5
value: 13.751
verified: no, type: recall_at_1
value: 30.082666666666665
verified: no, type: recall_at_10
value: 60.88875
verified: no, type: recall_at_100
value: 83.35141666666667
verified: no, type: recall_at_1000
value: 95.0805
verified: no, type: recall_at_3
value: 45.683749999999996
verified: no, type: recall_at_5
value: 52.08208333333333
verified: no, task: type: Retrieval
dataset: type: mteb/climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
metrics: type: map_at_1
value: 16.747
verified: no, type: map_at_10
value: 29.168
verified: no, type: map_at_100
value: 31.304
verified: no, type: map_at_1000
value: 31.496000000000002
verified: no, type: map_at_3
value: 24.57
verified: no, type: map_at_5
value: 26.886
verified: no, type: mrr_at_1
value: 37.524
verified: no, type: mrr_at_10
value: 50.588
verified: no, type: mrr_at_100
value: 51.28
verified: no, type: mrr_at_1000
value: 51.29899999999999
verified: no, type: mrr_at_3
value: 47.438
verified: no, type: mrr_at_5
value: 49.434
verified: no, type: ndcg_at_1
value: 37.524
verified: no, type: ndcg_at_10
value: 39.11
verified: no, type: ndcg_at_100
value: 46.373999999999995
verified: no, type: ndcg_at_1000
value: 49.370999999999995
verified: no, type: ndcg_at_3
value: 32.964
verified: no, type: ndcg_at_5
value: 35.028
verified: no, type: precision_at_1
value: 37.524
verified: no, type: precision_at_10
value: 12.137
verified: no, type: precision_at_100
value: 1.9929999999999999
verified: no, type: precision_at_1000
value: 0.256
verified: no, type: precision_at_3
value: 24.886
verified: no, type: precision_at_5
value: 18.762
verified: no, type: recall_at_1
value: 16.747
verified: no, type: recall_at_10
value: 45.486
verified: no, type: recall_at_100
value: 69.705
verified: no, type: recall_at_1000
value: 86.119
verified: no, type: recall_at_3
value: 30.070999999999998
verified: no, type: recall_at_5
value: 36.565
verified: no, task: type: Retrieval
dataset: type: mteb/dbpedia
name: MTEB DBPedia
config: default
split: test
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
metrics: type: map_at_1
value: 10.495000000000001
verified: no, type: map_at_10
value: 24.005000000000003
verified: no, type: map_at_100
value: 34.37
verified: no, type: map_at_1000
value: 36.268
verified: no, type: map_at_3
value: 16.694
verified: no, type: map_at_5
value: 19.845
verified: no, type: mrr_at_1
value: 75.5
verified: no, type: mrr_at_10
value: 82.458
verified: no, type: mrr_at_100
value: 82.638
verified: no, type: mrr_at_1000
value: 82.64
verified: no, type: mrr_at_3
value: 81.25
verified: no, type: mrr_at_5
value: 82.125
verified: no, type: ndcg_at_1
value: 64.625
verified: no, type: ndcg_at_10
value: 51.322
verified: no, type: ndcg_at_100
value: 55.413999999999994
verified: no, type: ndcg_at_1000
value: 62.169
verified: no, type: ndcg_at_3
value: 56.818999999999996
verified: no, type: ndcg_at_5
value: 54.32900000000001
verified: no, type: precision_at_1
value: 75.5
verified: no, type: precision_at_10
value: 40.849999999999994
verified: no, type: precision_at_100
value: 12.882
verified: no, type: precision_at_1000
value: 2.394
verified: no, type: precision_at_3
value: 59.667
verified: no, type: precision_at_5
value: 52.2
verified: no, type: recall_at_1
value: 10.495000000000001
verified: no, type: recall_at_10
value: 29.226000000000003
verified: no, type: recall_at_100
value: 59.614
verified: no, type: recall_at_1000
value: 81.862
verified: no, type: recall_at_3
value: 17.97
verified: no, type: recall_at_5
value: 22.438
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 51.82
verified: no, type: f1
value: 47.794956731921054
verified: no, task: type: Retrieval
dataset: type: mteb/fever
name: MTEB FEVER
config: default
split: test
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
metrics: type: map_at_1
value: 82.52199999999999
verified: no, type: map_at_10
value: 89.794
verified: no, type: map_at_100
value: 89.962
verified: no, type: map_at_1000
value: 89.972
verified: no, type: map_at_3
value: 88.95100000000001
verified: no, type: map_at_5
value: 89.524
verified: no, type: mrr_at_1
value: 88.809
verified: no, type: mrr_at_10
value: 93.554
verified: no, type: mrr_at_100
value: 93.577
verified: no, type: mrr_at_1000
value: 93.577
verified: no, type: mrr_at_3
value: 93.324
verified: no, type: mrr_at_5
value: 93.516
verified: no, type: ndcg_at_1
value: 88.809
verified: no, type: ndcg_at_10
value: 92.419
verified: no, type: ndcg_at_100
value: 92.95
verified: no, type: ndcg_at_1000
value: 93.10000000000001
verified: no, type: ndcg_at_3
value: 91.45299999999999
verified: no, type: ndcg_at_5
value: 92.05
verified: no, type: precision_at_1
value: 88.809
verified: no, type: precision_at_10
value: 10.911999999999999
verified: no, type: precision_at_100
value: 1.143
verified: no, type: precision_at_1000
value: 0.117
verified: no, type: precision_at_3
value: 34.623
verified: no, type: precision_at_5
value: 21.343999999999998
verified: no, type: recall_at_1
value: 82.52199999999999
verified: no, type: recall_at_10
value: 96.59400000000001
verified: no, type: recall_at_100
value: 98.55699999999999
verified: no, type: recall_at_1000
value: 99.413
verified: no, type: recall_at_3
value: 94.02199999999999
verified: no, type: recall_at_5
value: 95.582
verified: no, task: type: Retrieval
dataset: type: mteb/fiqa
name: MTEB FiQA2018
config: default
split: test
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
metrics: type: map_at_1
value: 32.842
verified: no, type: map_at_10
value: 53.147
verified: no, type: map_at_100
value: 55.265
verified: no, type: map_at_1000
value: 55.37
verified: no, type: map_at_3
value: 46.495
verified: no, type: map_at_5
value: 50.214999999999996
verified: no, type: mrr_at_1
value: 61.574
verified: no, type: mrr_at_10
value: 68.426
verified: no, type: mrr_at_100
value: 68.935
verified: no, type: mrr_at_1000
value: 68.95400000000001
verified: no, type: mrr_at_3
value: 66.307
verified: no, type: mrr_at_5
value: 67.611
verified: no, type: ndcg_at_1
value: 61.574
verified: no, type: ndcg_at_10
value: 61.205
verified: no, type: ndcg_at_100
value: 67.25999999999999
verified: no, type: ndcg_at_1000
value: 68.657
verified: no, type: ndcg_at_3
value: 56.717
verified: no, type: ndcg_at_5
value: 58.196999999999996
verified: no, type: precision_at_1
value: 61.574
verified: no, type: precision_at_10
value: 16.852
verified: no, type: precision_at_100
value: 2.33
verified: no, type: precision_at_1000
value: 0.256
verified: no, type: precision_at_3
value: 37.5
verified: no, type: precision_at_5
value: 27.468999999999998
verified: no, type: recall_at_1
value: 32.842
verified: no, type: recall_at_10
value: 68.157
verified: no, type: recall_at_100
value: 89.5
verified: no, type: recall_at_1000
value: 97.68599999999999
verified: no, type: recall_at_3
value: 50.783
verified: no, type: recall_at_5
value: 58.672000000000004
verified: no, task: type: Retrieval
dataset: type: mteb/hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: ab518f4d6fcca38d87c25209f94beba119d02014
metrics: type: map_at_1
value: 39.068000000000005
verified: no, type: map_at_10
value: 69.253
verified: no, type: map_at_100
value: 70.036
verified: no, type: map_at_1000
value: 70.081
verified: no, type: map_at_3
value: 65.621
verified: no, type: map_at_5
value: 67.976
verified: no, type: mrr_at_1
value: 78.13600000000001
verified: no, type: mrr_at_10
value: 84.328
verified: no, type: mrr_at_100
value: 84.515
verified: no, type: mrr_at_1000
value: 84.52300000000001
verified: no, type: mrr_at_3
value: 83.52199999999999
verified: no, type: mrr_at_5
value: 84.019
verified: no, type: ndcg_at_1
value: 78.13600000000001
verified: no, type: ndcg_at_10
value: 76.236
verified: no, type: ndcg_at_100
value: 78.891
verified: no, type: ndcg_at_1000
value: 79.73400000000001
verified: no, type: ndcg_at_3
value: 71.258
verified: no, type: ndcg_at_5
value: 74.129
verified: no, type: precision_at_1
value: 78.13600000000001
verified: no, type: precision_at_10
value: 16.347
verified: no, type: precision_at_100
value: 1.839
verified: no, type: precision_at_1000
value: 0.19499999999999998
verified: no, type: precision_at_3
value: 47.189
verified: no, type: precision_at_5
value: 30.581999999999997
verified: no, type: recall_at_1
value: 39.068000000000005
verified: no, type: recall_at_10
value: 81.735
verified: no, type: recall_at_100
value: 91.945
verified: no, type: recall_at_1000
value: 97.44800000000001
verified: no, type: recall_at_3
value: 70.783
verified: no, type: recall_at_5
value: 76.455
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 94.7764
verified: no, type: ap
value: 92.67841294818406
verified: no, type: f1
value: 94.77375157383646
verified: no, task: type: Retrieval
dataset: type: mteb/msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: c5a29a104738b98a9e76336939199e264163d4a0
metrics: type: map_at_1
value: 24.624
verified: no, type: map_at_10
value: 37.861
verified: no, type: map_at_100
value: 39.011
verified: no, type: map_at_1000
value: 39.052
verified: no, type: map_at_3
value: 33.76
verified: no, type: map_at_5
value: 36.153
verified: no, type: mrr_at_1
value: 25.358000000000004
verified: no, type: mrr_at_10
value: 38.5
verified: no, type: mrr_at_100
value: 39.572
verified: no, type: mrr_at_1000
value: 39.607
verified: no, type: mrr_at_3
value: 34.491
verified: no, type: mrr_at_5
value: 36.83
verified: no, type: ndcg_at_1
value: 25.358000000000004
verified: no, type: ndcg_at_10
value: 45.214999999999996
verified: no, type: ndcg_at_100
value: 50.56
verified: no, type: ndcg_at_1000
value: 51.507999999999996
verified: no, type: ndcg_at_3
value: 36.925999999999995
verified: no, type: ndcg_at_5
value: 41.182
verified: no, type: precision_at_1
value: 25.358000000000004
verified: no, type: precision_at_10
value: 7.090000000000001
verified: no, type: precision_at_100
value: 0.9740000000000001
verified: no, type: precision_at_1000
value: 0.106
verified: no, type: precision_at_3
value: 15.697
verified: no, type: precision_at_5
value: 11.599
verified: no, type: recall_at_1
value: 24.624
verified: no, type: recall_at_10
value: 67.78699999999999
verified: no, type: recall_at_100
value: 92.11200000000001
verified: no, type: recall_at_1000
value: 99.208
verified: no, type: recall_at_3
value: 45.362
verified: no, type: recall_at_5
value: 55.58
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 96.83310533515733
verified: no, type: f1
value: 96.57069781347995
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 89.5690834473324
verified: no, type: f1
value: 73.7275204564728
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_intent
name: MTEB MassiveIntentClassification (en)
config: en
split: test
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
metrics: type: accuracy
value: 82.67316745124411
verified: no, type: f1
value: 79.70626515721662
verified: no, task: type: Classification
dataset: type: mteb/amazon_massive_scenario
name: MTEB MassiveScenarioClassification (en)
config: en
split: test
revision: 7d571f92784cd94a019292a1f45445077d0ef634
metrics: type: accuracy
value: 85.01344989912575
verified: no, type: f1
value: 84.45181022816965
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-p2p
name: MTEB MedrxivClusteringP2P
config: default
split: test
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
metrics: type: v_measure
value: 37.843426126777295
verified: no, task: type: Clustering
dataset: type: mteb/medrxiv-clustering-s2s
name: MTEB MedrxivClusteringS2S
config: default
split: test
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
metrics: type: v_measure
value: 36.651728547241476
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 32.05750522793288
verified: no, type: mrr
value: 33.28067556869468
verified: no, task: type: Retrieval
dataset: type: mteb/nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
metrics: type: map_at_1
value: 6.744
verified: no, type: map_at_10
value: 16.235
verified: no, type: map_at_100
value: 20.767
verified: no, type: map_at_1000
value: 22.469
verified: no, type: map_at_3
value: 11.708
verified: no, type: map_at_5
value: 13.924
verified: no, type: mrr_at_1
value: 55.728
verified: no, type: mrr_at_10
value: 63.869
verified: no, type: mrr_at_100
value: 64.322
verified: no, type: mrr_at_1000
value: 64.342
verified: no, type: mrr_at_3
value: 62.022999999999996
verified: no, type: mrr_at_5
value: 63.105999999999995
verified: no, type: ndcg_at_1
value: 53.096
verified: no, type: ndcg_at_10
value: 41.618
verified: no, type: ndcg_at_100
value: 38.562999999999995
verified: no, type: ndcg_at_1000
value: 47.006
verified: no, type: ndcg_at_3
value: 47.657
verified: no, type: ndcg_at_5
value: 45.562999999999995
verified: no, type: precision_at_1
value: 55.108000000000004
verified: no, type: precision_at_10
value: 30.464000000000002
verified: no, type: precision_at_100
value: 9.737
verified: no, type: precision_at_1000
value: 2.2720000000000002
verified: no, type: precision_at_3
value: 44.376
verified: no, type: precision_at_5
value: 39.505
verified: no, type: recall_at_1
value: 6.744
verified: no, type: recall_at_10
value: 21.11
verified: no, type: recall_at_100
value: 39.69
verified: no, type: recall_at_1000
value: 70.44
verified: no, type: recall_at_3
value: 13.120000000000001
verified: no, type: recall_at_5
value: 16.669
verified: no, task: type: Retrieval
dataset: type: mteb/nq
name: MTEB NQ
config: default
split: test
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
metrics: type: map_at_1
value: 46.263
verified: no, type: map_at_10
value: 63.525
verified: no, type: map_at_100
value: 64.142
verified: no, type: map_at_1000
value: 64.14800000000001
verified: no, type: map_at_3
value: 59.653
verified: no, type: map_at_5
value: 62.244
verified: no, type: mrr_at_1
value: 51.796
verified: no, type: mrr_at_10
value: 65.764
verified: no, type: mrr_at_100
value: 66.155
verified: no, type: mrr_at_1000
value: 66.158
verified: no, type: mrr_at_3
value: 63.05500000000001
verified: no, type: mrr_at_5
value: 64.924
verified: no, type: ndcg_at_1
value: 51.766999999999996
verified: no, type: ndcg_at_10
value: 70.626
verified: no, type: ndcg_at_100
value: 72.905
verified: no, type: ndcg_at_1000
value: 73.021
verified: no, type: ndcg_at_3
value: 63.937999999999995
verified: no, type: ndcg_at_5
value: 68.00699999999999
verified: no, type: precision_at_1
value: 51.766999999999996
verified: no, type: precision_at_10
value: 10.768
verified: no, type: precision_at_100
value: 1.203
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 28.409000000000002
verified: no, type: precision_at_5
value: 19.502
verified: no, type: recall_at_1
value: 46.263
verified: no, type: recall_at_10
value: 89.554
verified: no, type: recall_at_100
value: 98.914
verified: no, type: recall_at_1000
value: 99.754
verified: no, type: recall_at_3
value: 72.89999999999999
verified: no, type: recall_at_5
value: 82.1
verified: no, task: type: Retrieval
dataset: type: mteb/quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
metrics: type: map_at_1
value: 72.748
verified: no, type: map_at_10
value: 86.87700000000001
verified: no, type: map_at_100
value: 87.46199999999999
verified: no, type: map_at_1000
value: 87.47399999999999
verified: no, type: map_at_3
value: 83.95700000000001
verified: no, type: map_at_5
value: 85.82300000000001
verified: no, type: mrr_at_1
value: 83.62
verified: no, type: mrr_at_10
value: 89.415
verified: no, type: mrr_at_100
value: 89.484
verified: no, type: mrr_at_1000
value: 89.484
verified: no, type: mrr_at_3
value: 88.633
verified: no, type: mrr_at_5
value: 89.176
verified: no, type: ndcg_at_1
value: 83.62
verified: no, type: ndcg_at_10
value: 90.27
verified: no, type: ndcg_at_100
value: 91.23599999999999
verified: no, type: ndcg_at_1000
value: 91.293
verified: no, type: ndcg_at_3
value: 87.69500000000001
verified: no, type: ndcg_at_5
value: 89.171
verified: no, type: precision_at_1
value: 83.62
verified: no, type: precision_at_10
value: 13.683
verified: no, type: precision_at_100
value: 1.542
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 38.363
verified: no, type: precision_at_5
value: 25.196
verified: no, type: recall_at_1
value: 72.748
verified: no, type: recall_at_10
value: 96.61699999999999
verified: no, type: recall_at_100
value: 99.789
verified: no, type: recall_at_1000
value: 99.997
verified: no, type: recall_at_3
value: 89.21
verified: no, type: recall_at_5
value: 93.418
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 61.51909029379199
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
metrics: type: v_measure
value: 68.24483162045645
verified: no, task: type: Retrieval
dataset: type: mteb/scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
metrics: type: map_at_1
value: 4.793
verified: no, type: map_at_10
value: 13.092
verified: no, type: map_at_100
value: 15.434000000000001
verified: no, type: map_at_1000
value: 15.748999999999999
verified: no, type: map_at_3
value: 9.139
verified: no, type: map_at_5
value: 11.033
verified: no, type: mrr_at_1
value: 23.599999999999998
verified: no, type: mrr_at_10
value: 35.892
verified: no, type: mrr_at_100
value: 36.962
verified: no, type: mrr_at_1000
value: 37.009
verified: no, type: mrr_at_3
value: 32.550000000000004
verified: no, type: mrr_at_5
value: 34.415
verified: no, type: ndcg_at_1
value: 23.599999999999998
verified: no, type: ndcg_at_10
value: 21.932
verified: no, type: ndcg_at_100
value: 30.433
verified: no, type: ndcg_at_1000
value: 35.668
verified: no, type: ndcg_at_3
value: 20.483999999999998
verified: no, type: ndcg_at_5
value: 17.964
verified: no, type: precision_at_1
value: 23.599999999999998
verified: no, type: precision_at_10
value: 11.63
verified: no, type: precision_at_100
value: 2.383
verified: no, type: precision_at_1000
value: 0.363
verified: no, type: precision_at_3
value: 19.567
verified: no, type: precision_at_5
value: 16.06
verified: no, type: recall_at_1
value: 4.793
verified: no, type: recall_at_10
value: 23.558
verified: no, type: recall_at_100
value: 48.376999999999995
verified: no, type: recall_at_1000
value: 73.75699999999999
verified: no, type: recall_at_3
value: 11.903
verified: no, type: recall_at_5
value: 16.278000000000002
verified: no, task: type: STS
dataset: type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
metrics: type: cos_sim_pearson
value: 87.31937967632581
verified: no, type: cos_sim_spearman
value: 84.30523596401186
verified: no, type: euclidean_pearson
value: 84.19537987069458
verified: no, type: euclidean_spearman
value: 84.30522052876
verified: no, type: manhattan_pearson
value: 84.16420807244911
verified: no, type: manhattan_spearman
value: 84.28515410219309
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_pearson
value: 86.17180810119646
verified: no, type: cos_sim_spearman
value: 78.44413657529002
verified: no, type: euclidean_pearson
value: 81.69054139101816
verified: no, type: euclidean_spearman
value: 78.44412412142488
verified: no, type: manhattan_pearson
value: 82.04975789626462
verified: no, type: manhattan_spearman
value: 78.78390856857253
verified: no, task: type: STS
dataset: type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_pearson
value: 88.35737871089687
verified: no, type: cos_sim_spearman
value: 88.26850223126127
verified: no, type: euclidean_pearson
value: 87.44100858335746
verified: no, type: euclidean_spearman
value: 88.26850223126127
verified: no, type: manhattan_pearson
value: 87.61572015772133
verified: no, type: manhattan_spearman
value: 88.56229552813319
verified: no, task: type: STS
dataset: type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_pearson
value: 86.8395966764906
verified: no, type: cos_sim_spearman
value: 84.49441798385489
verified: no, type: euclidean_pearson
value: 85.3259176121388
verified: no, type: euclidean_spearman
value: 84.49442124804686
verified: no, type: manhattan_pearson
value: 85.35153862806513
verified: no, type: manhattan_spearman
value: 84.60094577432503
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_pearson
value: 90.14048269057345
verified: no, type: cos_sim_spearman
value: 90.27866978947013
verified: no, type: euclidean_pearson
value: 89.35308361940393
verified: no, type: euclidean_spearman
value: 90.27866978947013
verified: no, type: manhattan_pearson
value: 89.37601244066997
verified: no, type: manhattan_spearman
value: 90.42707449698062
verified: no, task: type: STS
dataset: type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_pearson
value: 86.8522678865688
verified: no, type: cos_sim_spearman
value: 87.37396401580446
verified: no, type: euclidean_pearson
value: 86.37219665505377
verified: no, type: euclidean_spearman
value: 87.37396385867791
verified: no, type: manhattan_pearson
value: 86.44628823799896
verified: no, type: manhattan_spearman
value: 87.49116026788859
verified: no, task: type: STS
dataset: type: mteb/sts17-crosslingual-sts
name: MTEB STS17 (en-en)
config: en-en
split: test
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
metrics: type: cos_sim_pearson
value: 92.94248481968916
verified: no, type: cos_sim_spearman
value: 92.68185242943188
verified: no, type: euclidean_pearson
value: 92.33802342092979
verified: no, type: euclidean_spearman
value: 92.68185242943188
verified: no, type: manhattan_pearson
value: 92.2011323340474
verified: no, type: manhattan_spearman
value: 92.43364757640346
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
metrics: type: cos_sim_pearson
value: 70.2918782293091
verified: no, type: cos_sim_spearman
value: 68.61986257003369
verified: no, type: euclidean_pearson
value: 70.51920905899138
verified: no, type: euclidean_spearman
value: 68.61986257003369
verified: no, type: manhattan_pearson
value: 70.64673843811433
verified: no, type: manhattan_spearman
value: 68.86711466517345
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_pearson
value: 88.62956838105524
verified: no, type: cos_sim_spearman
value: 88.80650007123052
verified: no, type: euclidean_pearson
value: 88.37976252122822
verified: no, type: euclidean_spearman
value: 88.80650007123052
verified: no, type: manhattan_pearson
value: 88.49866938476616
verified: no, type: manhattan_spearman
value: 89.02489665452616
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 86.40175229911527
verified: no, type: mrr
value: 96.61958230585682
verified: no, task: type: Retrieval
dataset: type: mteb/scifact
name: MTEB SciFact
config: default
split: test
revision: 0228b52cf27578f30900b9e5271d331663a030d7
metrics: type: map_at_1
value: 63.05
verified: no, type: map_at_10
value: 73.844
verified: no, type: map_at_100
value: 74.313
verified: no, type: map_at_1000
value: 74.321
verified: no, type: map_at_3
value: 71.17999999999999
verified: no, type: map_at_5
value: 72.842
verified: no, type: mrr_at_1
value: 65.667
verified: no, type: mrr_at_10
value: 74.772
verified: no, type: mrr_at_100
value: 75.087
verified: no, type: mrr_at_1000
value: 75.095
verified: no, type: mrr_at_3
value: 72.944
verified: no, type: mrr_at_5
value: 74.078
verified: no, type: ndcg_at_1
value: 65.667
verified: no, type: ndcg_at_10
value: 78.31700000000001
verified: no, type: ndcg_at_100
value: 79.969
verified: no, type: ndcg_at_1000
value: 80.25
verified: no, type: ndcg_at_3
value: 74.099
verified: no, type: ndcg_at_5
value: 76.338
verified: no, type: precision_at_1
value: 65.667
verified: no, type: precision_at_10
value: 10.233
verified: no, type: precision_at_100
value: 1.107
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 28.889
verified: no, type: precision_at_5
value: 19
verified: no, type: recall_at_1
value: 63.05
verified: no, type: recall_at_10
value: 90.822
verified: no, type: recall_at_100
value: 97.667
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 79.489
verified: no, type: recall_at_5
value: 85.161
verified: no, task: type: PairClassification
dataset: type: mteb/sprintduplicatequestions-pairclassification
name: MTEB SprintDuplicateQuestions
config: default
split: test
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
metrics: type: cos_sim_accuracy
value: 99.83564356435643
verified: no, type: cos_sim_ap
value: 96.10619363017767
verified: no, type: cos_sim_f1
value: 91.61225514816677
verified: no, type: cos_sim_precision
value: 92.02825428859738
verified: no, type: cos_sim_recall
value: 91.2
verified: no, type: dot_accuracy
value: 99.83564356435643
verified: no, type: dot_ap
value: 96.10619363017767
verified: no, type: dot_f1
value: 91.61225514816677
verified: no, type: dot_precision
value: 92.02825428859738
verified: no, type: dot_recall
value: 91.2
verified: no, type: euclidean_accuracy
value: 99.83564356435643
verified: no, type: euclidean_ap
value: 96.10619363017769
verified: no, type: euclidean_f1
value: 91.61225514816677
verified: no, type: euclidean_precision
value: 92.02825428859738
verified: no, type: euclidean_recall
value: 91.2
verified: no, type: manhattan_accuracy
value: 99.84158415841584
verified: no, type: manhattan_ap
value: 96.27527798658713
verified: no, type: manhattan_f1
value: 92
verified: no, type: manhattan_precision
value: 92
verified: no, type: manhattan_recall
value: 92
verified: no, type: max_accuracy
value: 99.84158415841584
verified: no, type: max_ap
value: 96.27527798658713
verified: no, type: max_f1
value: 92
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 76.93753872885304
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering-p2p
name: MTEB StackExchangeClusteringP2P
config: default
split: test
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
metrics: type: v_measure
value: 46.044085080870126
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 55.885129730227256
verified: no, type: mrr
value: 56.95062494694848
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 31.202047940935508
verified: no, type: cos_sim_spearman
value: 30.984832035722228
verified: no, type: dot_pearson
value: 31.20204247226978
verified: no, type: dot_spearman
value: 30.984832035722228
verified: no, task: type: Retrieval
dataset: type: mteb/trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
metrics: type: map_at_1
value: 0.245
verified: no, type: map_at_10
value: 2.249
verified: no, type: map_at_100
value: 14.85
verified: no, type: map_at_1000
value: 36.596000000000004
verified: no, type: map_at_3
value: 0.717
verified: no, type: map_at_5
value: 1.18
verified: no, type: mrr_at_1
value: 94
verified: no, type: mrr_at_10
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verified: no, type: mrr_at_100
value: 96.167
verified: no, type: mrr_at_1000
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verified: no, type: mrr_at_3
value: 95.667
verified: no, type: mrr_at_5
value: 96.167
verified: no, type: ndcg_at_1
value: 91
verified: no, type: ndcg_at_10
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verified: no, type: ndcg_at_100
value: 69.637
verified: no, type: ndcg_at_1000
value: 62.257
verified: no, type: ndcg_at_3
value: 90.235
verified: no, type: ndcg_at_5
value: 89.51400000000001
verified: no, type: precision_at_1
value: 94
verified: no, type: precision_at_10
value: 90.60000000000001
verified: no, type: precision_at_100
value: 71.38
verified: no, type: precision_at_1000
value: 27.400000000000002
verified: no, type: precision_at_3
value: 94
verified: no, type: precision_at_5
value: 93.2
verified: no, type: recall_at_1
value: 0.245
verified: no, type: recall_at_10
value: 2.366
verified: no, type: recall_at_100
value: 17.491
verified: no, type: recall_at_1000
value: 58.772999999999996
verified: no, type: recall_at_3
value: 0.7270000000000001
verified: no, type: recall_at_5
value: 1.221
verified: no, task: type: Retrieval
dataset: type: mteb/touche2020
name: MTEB Touche2020
config: default
split: test
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
metrics: type: map_at_1
value: 3.435
verified: no, type: map_at_10
value: 12.147
verified: no, type: map_at_100
value: 18.724
verified: no, type: map_at_1000
value: 20.426
verified: no, type: map_at_3
value: 6.526999999999999
verified: no, type: map_at_5
value: 9.198
verified: no, type: mrr_at_1
value: 48.980000000000004
verified: no, type: mrr_at_10
value: 62.970000000000006
verified: no, type: mrr_at_100
value: 63.288999999999994
verified: no, type: mrr_at_1000
value: 63.288999999999994
verified: no, type: mrr_at_3
value: 59.184000000000005
verified: no, type: mrr_at_5
value: 61.224000000000004
verified: no, type: ndcg_at_1
value: 46.939
verified: no, type: ndcg_at_10
value: 30.61
verified: no, type: ndcg_at_100
value: 41.683
verified: no, type: ndcg_at_1000
value: 53.144000000000005
verified: no, type: ndcg_at_3
value: 36.284
verified: no, type: ndcg_at_5
value: 34.345
verified: no, type: precision_at_1
value: 48.980000000000004
verified: no, type: precision_at_10
value: 26.122
verified: no, type: precision_at_100
value: 8.204
verified: no, type: precision_at_1000
value: 1.6019999999999999
verified: no, type: precision_at_3
value: 35.374
verified: no, type: precision_at_5
value: 32.653
verified: no, type: recall_at_1
value: 3.435
verified: no, type: recall_at_10
value: 18.953
verified: no, type: recall_at_100
value: 50.775000000000006
verified: no, type: recall_at_1000
value: 85.858
verified: no, type: recall_at_3
value: 7.813000000000001
verified: no, type: recall_at_5
value: 11.952
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
metrics: type: accuracy
value: 71.2938
verified: no, type: ap
value: 15.090139095602268
verified: no, type: f1
value: 55.23862650598296
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 64.7623089983022
verified: no, type: f1
value: 65.07617131099336
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 57.2988222684939
verified: no, task: type: PairClassification
dataset: type: mteb/twittersemeval2015-pairclassification
name: MTEB TwitterSemEval2015
config: default
split: test
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
metrics: type: cos_sim_accuracy
value: 88.6034451928235
verified: no, type: cos_sim_ap
value: 81.51815279166863
verified: no, type: cos_sim_f1
value: 74.43794671864849
verified: no, type: cos_sim_precision
value: 73.34186939820742
verified: no, type: cos_sim_recall
value: 75.56728232189973
verified: no, type: dot_accuracy
value: 88.6034451928235
verified: no, type: dot_ap
value: 81.51816956866841
verified: no, type: dot_f1
value: 74.43794671864849
verified: no, type: dot_precision
value: 73.34186939820742
verified: no, type: dot_recall
value: 75.56728232189973
verified: no, type: euclidean_accuracy
value: 88.6034451928235
verified: no, type: euclidean_ap
value: 81.51817015121485
verified: no, type: euclidean_f1
value: 74.43794671864849
verified: no, type: euclidean_precision
value: 73.34186939820742
verified: no, type: euclidean_recall
value: 75.56728232189973
verified: no, type: manhattan_accuracy
value: 88.5736424867378
verified: no, type: manhattan_ap
value: 81.37610101292196
verified: no, type: manhattan_f1
value: 74.2504182215931
verified: no, type: manhattan_precision
value: 72.46922883697563
verified: no, type: manhattan_recall
value: 76.12137203166228
verified: no, type: max_accuracy
value: 88.6034451928235
verified: no, type: max_ap
value: 81.51817015121485
verified: no, type: max_f1
value: 74.43794671864849
verified: no, task: type: PairClassification
dataset: type: mteb/twitterurlcorpus-pairclassification
name: MTEB TwitterURLCorpus
config: default
split: test
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
metrics: type: cos_sim_accuracy
value: 89.53118329646446
verified: no, type: cos_sim_ap
value: 87.41972033060013
verified: no, type: cos_sim_f1
value: 79.4392523364486
verified: no, type: cos_sim_precision
value: 75.53457372951958
verified: no, type: cos_sim_recall
value: 83.7696335078534
verified: no, type: dot_accuracy
value: 89.53118329646446
verified: no, type: dot_ap
value: 87.41971646088945
verified: no, type: dot_f1
value: 79.4392523364486
verified: no, type: dot_precision
value: 75.53457372951958
verified: no, type: dot_recall
value: 83.7696335078534
verified: no, type: euclidean_accuracy
value: 89.53118329646446
verified: no, type: euclidean_ap
value: 87.41972415605997
verified: no, type: euclidean_f1
value: 79.4392523364486
verified: no, type: euclidean_precision
value: 75.53457372951958
verified: no, type: euclidean_recall
value: 83.7696335078534
verified: no, type: manhattan_accuracy
value: 89.5855163581325
verified: no, type: manhattan_ap
value: 87.51158697451964
verified: no, type: manhattan_f1
value: 79.54455087655883
verified: no, type: manhattan_precision
value: 74.96763643796416
verified: no, type: manhattan_recall
value: 84.71666153372344
verified: no, type: max_accuracy
value: 89.5855163581325
verified: no, type: max_ap
value: 87.51158697451964
verified: no, type: max_f1
value: 79.54455087655883
verified: no
language: en
license: cc-by-nc-4.0
Likes: 138 | All-time downloads: 280720
Created: 2024-05-29 03:41:40