Model: baseplate/instructor-large-1
Author: baseplate
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, pytorch, t5, text-embedding, embeddings, information-retrieval, beir, text-classification, language-model, text-clustering, text-semantic-similarity, text-evaluation, prompt-retrieval, text-reranking, feature-extraction, sentence-similarity, transformers, English, Sentence Similarity, natural_questions, ms_marco, fever, hotpot_qa, mteb, en, arxiv:2212.09741, license:apache-2.0, model-index, text-generation-inference, endpoints_compatible, region:us
Card metadata: pipeline_tag: sentence-similarity
tags: text-embedding, embeddings, information-retrieval, beir, text-classification, language-model, text-clustering, text-semantic-similarity, text-evaluation, prompt-retrieval, text-reranking, sentence-transformers, feature-extraction, sentence-similarity, transformers, t5, English, Sentence Similarity, natural_questions, ms_marco, fever, hotpot_qa, mteb
language: en
inference: no
license: apache-2.0
model-index: name: INSTRUCTOR
results: task: type: Classification
dataset: type: mteb/amazon_counterfactual
name: MTEB AmazonCounterfactualClassification (en)
config: en
split: test
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
metrics: type: accuracy
value: 88.13432835820896
verified: no, type: ap
value: 59.298209334395665
verified: no, type: f1
value: 83.31769058643586
verified: no, task: type: Classification
dataset: type: mteb/amazon_polarity
name: MTEB AmazonPolarityClassification
config: default
split: test
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
metrics: type: accuracy
value: 91.526375
verified: no, type: ap
value: 88.16327709705504
verified: no, type: f1
value: 91.51095801287843
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: 47.856
verified: no, type: f1
value: 45.41490917650942
verified: no, task: type: Retrieval
dataset: type: arguana
name: MTEB ArguAna
config: default
split: test
revision: None
metrics: type: map_at_1
value: 31.223
verified: no, type: map_at_10
value: 47.947
verified: no, type: map_at_100
value: 48.742000000000004
verified: no, type: map_at_1000
value: 48.745
verified: no, type: map_at_3
value: 43.137
verified: no, type: map_at_5
value: 45.992
verified: no, type: mrr_at_1
value: 32.432
verified: no, type: mrr_at_10
value: 48.4
verified: no, type: mrr_at_100
value: 49.202
verified: no, type: mrr_at_1000
value: 49.205
verified: no, type: mrr_at_3
value: 43.551
verified: no, type: mrr_at_5
value: 46.467999999999996
verified: no, type: ndcg_at_1
value: 31.223
verified: no, type: ndcg_at_10
value: 57.045
verified: no, type: ndcg_at_100
value: 60.175
verified: no, type: ndcg_at_1000
value: 60.233000000000004
verified: no, type: ndcg_at_3
value: 47.171
verified: no, type: ndcg_at_5
value: 52.322
verified: no, type: precision_at_1
value: 31.223
verified: no, type: precision_at_10
value: 8.599
verified: no, type: precision_at_100
value: 0.991
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 19.63
verified: no, type: precision_at_5
value: 14.282
verified: no, type: recall_at_1
value: 31.223
verified: no, type: recall_at_10
value: 85.989
verified: no, type: recall_at_100
value: 99.075
verified: no, type: recall_at_1000
value: 99.502
verified: no, type: recall_at_3
value: 58.89
verified: no, type: recall_at_5
value: 71.408
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: 43.1621946393635
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: 32.56417132407894
verified: no, task: type: Reranking
dataset: type: mteb/askubuntudupquestions-reranking
name: MTEB AskUbuntuDupQuestions
config: default
split: test
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
metrics: type: map
value: 64.29539304390207
verified: no, type: mrr
value: 76.44484017060196
verified: no, task: type: STS
dataset: type: mteb/biosses-sts
name: MTEB BIOSSES
config: default
split: test
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
metrics: type: cos_sim_spearman
value: 84.38746499431112
verified: no, task: type: Classification
dataset: type: mteb/banking77
name: MTEB Banking77Classification
config: default
split: test
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
metrics: type: accuracy
value: 78.51298701298701
verified: no, type: f1
value: 77.49041754069235
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: 37.61848554098577
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: 31.32623280148178
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackAndroidRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 35.803000000000004
verified: no, type: map_at_10
value: 48.848
verified: no, type: map_at_100
value: 50.5
verified: no, type: map_at_1000
value: 50.602999999999994
verified: no, type: map_at_3
value: 45.111000000000004
verified: no, type: map_at_5
value: 47.202
verified: no, type: mrr_at_1
value: 44.635000000000005
verified: no, type: mrr_at_10
value: 55.593
verified: no, type: mrr_at_100
value: 56.169999999999995
verified: no, type: mrr_at_1000
value: 56.19499999999999
verified: no, type: mrr_at_3
value: 53.361999999999995
verified: no, type: mrr_at_5
value: 54.806999999999995
verified: no, type: ndcg_at_1
value: 44.635000000000005
verified: no, type: ndcg_at_10
value: 55.899
verified: no, type: ndcg_at_100
value: 60.958
verified: no, type: ndcg_at_1000
value: 62.302
verified: no, type: ndcg_at_3
value: 51.051
verified: no, type: ndcg_at_5
value: 53.351000000000006
verified: no, type: precision_at_1
value: 44.635000000000005
verified: no, type: precision_at_10
value: 10.786999999999999
verified: no, type: precision_at_100
value: 1.6580000000000001
verified: no, type: precision_at_1000
value: 0.213
verified: no, type: precision_at_3
value: 24.893
verified: no, type: precision_at_5
value: 17.740000000000002
verified: no, type: recall_at_1
value: 35.803000000000004
verified: no, type: recall_at_10
value: 68.657
verified: no, type: recall_at_100
value: 89.77199999999999
verified: no, type: recall_at_1000
value: 97.67
verified: no, type: recall_at_3
value: 54.066
verified: no, type: recall_at_5
value: 60.788
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackEnglishRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 33.706
verified: no, type: map_at_10
value: 44.896
verified: no, type: map_at_100
value: 46.299
verified: no, type: map_at_1000
value: 46.44
verified: no, type: map_at_3
value: 41.721000000000004
verified: no, type: map_at_5
value: 43.486000000000004
verified: no, type: mrr_at_1
value: 41.592
verified: no, type: mrr_at_10
value: 50.529
verified: no, type: mrr_at_100
value: 51.22
verified: no, type: mrr_at_1000
value: 51.258
verified: no, type: mrr_at_3
value: 48.205999999999996
verified: no, type: mrr_at_5
value: 49.528
verified: no, type: ndcg_at_1
value: 41.592
verified: no, type: ndcg_at_10
value: 50.77199999999999
verified: no, type: ndcg_at_100
value: 55.383
verified: no, type: ndcg_at_1000
value: 57.288
verified: no, type: ndcg_at_3
value: 46.324
verified: no, type: ndcg_at_5
value: 48.346000000000004
verified: no, type: precision_at_1
value: 41.592
verified: no, type: precision_at_10
value: 9.516
verified: no, type: precision_at_100
value: 1.541
verified: no, type: precision_at_1000
value: 0.2
verified: no, type: precision_at_3
value: 22.399
verified: no, type: precision_at_5
value: 15.770999999999999
verified: no, type: recall_at_1
value: 33.706
verified: no, type: recall_at_10
value: 61.353
verified: no, type: recall_at_100
value: 80.182
verified: no, type: recall_at_1000
value: 91.896
verified: no, type: recall_at_3
value: 48.204
verified: no, type: recall_at_5
value: 53.89699999999999
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGamingRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 44.424
verified: no, type: map_at_10
value: 57.169000000000004
verified: no, type: map_at_100
value: 58.202
verified: no, type: map_at_1000
value: 58.242000000000004
verified: no, type: map_at_3
value: 53.825
verified: no, type: map_at_5
value: 55.714
verified: no, type: mrr_at_1
value: 50.470000000000006
verified: no, type: mrr_at_10
value: 60.489000000000004
verified: no, type: mrr_at_100
value: 61.096
verified: no, type: mrr_at_1000
value: 61.112
verified: no, type: mrr_at_3
value: 58.192
verified: no, type: mrr_at_5
value: 59.611999999999995
verified: no, type: ndcg_at_1
value: 50.470000000000006
verified: no, type: ndcg_at_10
value: 63.071999999999996
verified: no, type: ndcg_at_100
value: 66.964
verified: no, type: ndcg_at_1000
value: 67.659
verified: no, type: ndcg_at_3
value: 57.74399999999999
verified: no, type: ndcg_at_5
value: 60.367000000000004
verified: no, type: precision_at_1
value: 50.470000000000006
verified: no, type: precision_at_10
value: 10.019
verified: no, type: precision_at_100
value: 1.29
verified: no, type: precision_at_1000
value: 0.13899999999999998
verified: no, type: precision_at_3
value: 25.558999999999997
verified: no, type: precision_at_5
value: 17.467
verified: no, type: recall_at_1
value: 44.424
verified: no, type: recall_at_10
value: 77.02
verified: no, type: recall_at_100
value: 93.738
verified: no, type: recall_at_1000
value: 98.451
verified: no, type: recall_at_3
value: 62.888
verified: no, type: recall_at_5
value: 69.138
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackGisRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 26.294
verified: no, type: map_at_10
value: 34.503
verified: no, type: map_at_100
value: 35.641
verified: no, type: map_at_1000
value: 35.724000000000004
verified: no, type: map_at_3
value: 31.753999999999998
verified: no, type: map_at_5
value: 33.190999999999995
verified: no, type: mrr_at_1
value: 28.362
verified: no, type: mrr_at_10
value: 36.53
verified: no, type: mrr_at_100
value: 37.541000000000004
verified: no, type: mrr_at_1000
value: 37.602000000000004
verified: no, type: mrr_at_3
value: 33.917
verified: no, type: mrr_at_5
value: 35.358000000000004
verified: no, type: ndcg_at_1
value: 28.362
verified: no, type: ndcg_at_10
value: 39.513999999999996
verified: no, type: ndcg_at_100
value: 44.815
verified: no, type: ndcg_at_1000
value: 46.839
verified: no, type: ndcg_at_3
value: 34.02
verified: no, type: ndcg_at_5
value: 36.522
verified: no, type: precision_at_1
value: 28.362
verified: no, type: precision_at_10
value: 6.101999999999999
verified: no, type: precision_at_100
value: 0.9129999999999999
verified: no, type: precision_at_1000
value: 0.11399999999999999
verified: no, type: precision_at_3
value: 14.161999999999999
verified: no, type: precision_at_5
value: 9.966
verified: no, type: recall_at_1
value: 26.294
verified: no, type: recall_at_10
value: 53.098
verified: no, type: recall_at_100
value: 76.877
verified: no, type: recall_at_1000
value: 91.834
verified: no, type: recall_at_3
value: 38.266
verified: no, type: recall_at_5
value: 44.287
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackMathematicaRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 16.407
verified: no, type: map_at_10
value: 25.185999999999996
verified: no, type: map_at_100
value: 26.533
verified: no, type: map_at_1000
value: 26.657999999999998
verified: no, type: map_at_3
value: 22.201999999999998
verified: no, type: map_at_5
value: 23.923
verified: no, type: mrr_at_1
value: 20.522000000000002
verified: no, type: mrr_at_10
value: 29.522
verified: no, type: mrr_at_100
value: 30.644
verified: no, type: mrr_at_1000
value: 30.713
verified: no, type: mrr_at_3
value: 26.679000000000002
verified: no, type: mrr_at_5
value: 28.483000000000004
verified: no, type: ndcg_at_1
value: 20.522000000000002
verified: no, type: ndcg_at_10
value: 30.656
verified: no, type: ndcg_at_100
value: 36.864999999999995
verified: no, type: ndcg_at_1000
value: 39.675
verified: no, type: ndcg_at_3
value: 25.319000000000003
verified: no, type: ndcg_at_5
value: 27.992
verified: no, type: precision_at_1
value: 20.522000000000002
verified: no, type: precision_at_10
value: 5.795999999999999
verified: no, type: precision_at_100
value: 1.027
verified: no, type: precision_at_1000
value: 0.13999999999999999
verified: no, type: precision_at_3
value: 12.396
verified: no, type: precision_at_5
value: 9.328
verified: no, type: recall_at_1
value: 16.407
verified: no, type: recall_at_10
value: 43.164
verified: no, type: recall_at_100
value: 69.695
verified: no, type: recall_at_1000
value: 89.41900000000001
verified: no, type: recall_at_3
value: 28.634999999999998
verified: no, type: recall_at_5
value: 35.308
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackPhysicsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 30.473
verified: no, type: map_at_10
value: 41.676
verified: no, type: map_at_100
value: 43.120999999999995
verified: no, type: map_at_1000
value: 43.230000000000004
verified: no, type: map_at_3
value: 38.306000000000004
verified: no, type: map_at_5
value: 40.355999999999995
verified: no, type: mrr_at_1
value: 37.536
verified: no, type: mrr_at_10
value: 47.643
verified: no, type: mrr_at_100
value: 48.508
verified: no, type: mrr_at_1000
value: 48.551
verified: no, type: mrr_at_3
value: 45.348
verified: no, type: mrr_at_5
value: 46.744
verified: no, type: ndcg_at_1
value: 37.536
verified: no, type: ndcg_at_10
value: 47.823
verified: no, type: ndcg_at_100
value: 53.395
verified: no, type: ndcg_at_1000
value: 55.271
verified: no, type: ndcg_at_3
value: 42.768
verified: no, type: ndcg_at_5
value: 45.373000000000005
verified: no, type: precision_at_1
value: 37.536
verified: no, type: precision_at_10
value: 8.681
verified: no, type: precision_at_100
value: 1.34
verified: no, type: precision_at_1000
value: 0.165
verified: no, type: precision_at_3
value: 20.468
verified: no, type: precision_at_5
value: 14.495
verified: no, type: recall_at_1
value: 30.473
verified: no, type: recall_at_10
value: 60.092999999999996
verified: no, type: recall_at_100
value: 82.733
verified: no, type: recall_at_1000
value: 94.875
verified: no, type: recall_at_3
value: 45.734
verified: no, type: recall_at_5
value: 52.691
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackProgrammersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 29.976000000000003
verified: no, type: map_at_10
value: 41.097
verified: no, type: map_at_100
value: 42.547000000000004
verified: no, type: map_at_1000
value: 42.659000000000006
verified: no, type: map_at_3
value: 37.251
verified: no, type: map_at_5
value: 39.493
verified: no, type: mrr_at_1
value: 37.557
verified: no, type: mrr_at_10
value: 46.605000000000004
verified: no, type: mrr_at_100
value: 47.487
verified: no, type: mrr_at_1000
value: 47.54
verified: no, type: mrr_at_3
value: 43.721
verified: no, type: mrr_at_5
value: 45.411
verified: no, type: ndcg_at_1
value: 37.557
verified: no, type: ndcg_at_10
value: 47.449000000000005
verified: no, type: ndcg_at_100
value: 53.052
verified: no, type: ndcg_at_1000
value: 55.010999999999996
verified: no, type: ndcg_at_3
value: 41.439
verified: no, type: ndcg_at_5
value: 44.292
verified: no, type: precision_at_1
value: 37.557
verified: no, type: precision_at_10
value: 8.847
verified: no, type: precision_at_100
value: 1.357
verified: no, type: precision_at_1000
value: 0.16999999999999998
verified: no, type: precision_at_3
value: 20.091
verified: no, type: precision_at_5
value: 14.384
verified: no, type: recall_at_1
value: 29.976000000000003
verified: no, type: recall_at_10
value: 60.99099999999999
verified: no, type: recall_at_100
value: 84.245
verified: no, type: recall_at_1000
value: 96.97200000000001
verified: no, type: recall_at_3
value: 43.794
verified: no, type: recall_at_5
value: 51.778999999999996
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.099166666666665
verified: no, type: map_at_10
value: 38.1365
verified: no, type: map_at_100
value: 39.44491666666667
verified: no, type: map_at_1000
value: 39.55858333333334
verified: no, type: map_at_3
value: 35.03641666666666
verified: no, type: map_at_5
value: 36.79833333333334
verified: no, type: mrr_at_1
value: 33.39966666666667
verified: no, type: mrr_at_10
value: 42.42583333333333
verified: no, type: mrr_at_100
value: 43.28575
verified: no, type: mrr_at_1000
value: 43.33741666666667
verified: no, type: mrr_at_3
value: 39.94975
verified: no, type: mrr_at_5
value: 41.41633333333334
verified: no, type: ndcg_at_1
value: 33.39966666666667
verified: no, type: ndcg_at_10
value: 43.81741666666667
verified: no, type: ndcg_at_100
value: 49.08166666666667
verified: no, type: ndcg_at_1000
value: 51.121166666666674
verified: no, type: ndcg_at_3
value: 38.73575
verified: no, type: ndcg_at_5
value: 41.18158333333333
verified: no, type: precision_at_1
value: 33.39966666666667
verified: no, type: precision_at_10
value: 7.738916666666667
verified: no, type: precision_at_100
value: 1.2265833333333331
verified: no, type: precision_at_1000
value: 0.15983333333333336
verified: no, type: precision_at_3
value: 17.967416666666665
verified: no, type: precision_at_5
value: 12.78675
verified: no, type: recall_at_1
value: 28.099166666666665
verified: no, type: recall_at_10
value: 56.27049999999999
verified: no, type: recall_at_100
value: 78.93291666666667
verified: no, type: recall_at_1000
value: 92.81608333333334
verified: no, type: recall_at_3
value: 42.09775
verified: no, type: recall_at_5
value: 48.42533333333334
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackStatsRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 23.663
verified: no, type: map_at_10
value: 30.377
verified: no, type: map_at_100
value: 31.426
verified: no, type: map_at_1000
value: 31.519000000000002
verified: no, type: map_at_3
value: 28.069
verified: no, type: map_at_5
value: 29.256999999999998
verified: no, type: mrr_at_1
value: 26.687
verified: no, type: mrr_at_10
value: 33.107
verified: no, type: mrr_at_100
value: 34.055
verified: no, type: mrr_at_1000
value: 34.117999999999995
verified: no, type: mrr_at_3
value: 31.058000000000003
verified: no, type: mrr_at_5
value: 32.14
verified: no, type: ndcg_at_1
value: 26.687
verified: no, type: ndcg_at_10
value: 34.615
verified: no, type: ndcg_at_100
value: 39.776
verified: no, type: ndcg_at_1000
value: 42.05
verified: no, type: ndcg_at_3
value: 30.322
verified: no, type: ndcg_at_5
value: 32.157000000000004
verified: no, type: precision_at_1
value: 26.687
verified: no, type: precision_at_10
value: 5.491
verified: no, type: precision_at_100
value: 0.877
verified: no, type: precision_at_1000
value: 0.11499999999999999
verified: no, type: precision_at_3
value: 13.139000000000001
verified: no, type: precision_at_5
value: 9.049
verified: no, type: recall_at_1
value: 23.663
verified: no, type: recall_at_10
value: 45.035
verified: no, type: recall_at_100
value: 68.554
verified: no, type: recall_at_1000
value: 85.077
verified: no, type: recall_at_3
value: 32.982
verified: no, type: recall_at_5
value: 37.688
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackTexRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 17.403
verified: no, type: map_at_10
value: 25.197000000000003
verified: no, type: map_at_100
value: 26.355
verified: no, type: map_at_1000
value: 26.487
verified: no, type: map_at_3
value: 22.733
verified: no, type: map_at_5
value: 24.114
verified: no, type: mrr_at_1
value: 21.37
verified: no, type: mrr_at_10
value: 29.091
verified: no, type: mrr_at_100
value: 30.018
verified: no, type: mrr_at_1000
value: 30.096
verified: no, type: mrr_at_3
value: 26.887
verified: no, type: mrr_at_5
value: 28.157
verified: no, type: ndcg_at_1
value: 21.37
verified: no, type: ndcg_at_10
value: 30.026000000000003
verified: no, type: ndcg_at_100
value: 35.416
verified: no, type: ndcg_at_1000
value: 38.45
verified: no, type: ndcg_at_3
value: 25.764
verified: no, type: ndcg_at_5
value: 27.742
verified: no, type: precision_at_1
value: 21.37
verified: no, type: precision_at_10
value: 5.609
verified: no, type: precision_at_100
value: 0.9860000000000001
verified: no, type: precision_at_1000
value: 0.14300000000000002
verified: no, type: precision_at_3
value: 12.423
verified: no, type: precision_at_5
value: 9.009
verified: no, type: recall_at_1
value: 17.403
verified: no, type: recall_at_10
value: 40.573
verified: no, type: recall_at_100
value: 64.818
verified: no, type: recall_at_1000
value: 86.53699999999999
verified: no, type: recall_at_3
value: 28.493000000000002
verified: no, type: recall_at_5
value: 33.660000000000004
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackUnixRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 28.639
verified: no, type: map_at_10
value: 38.951
verified: no, type: map_at_100
value: 40.238
verified: no, type: map_at_1000
value: 40.327
verified: no, type: map_at_3
value: 35.842
verified: no, type: map_at_5
value: 37.617
verified: no, type: mrr_at_1
value: 33.769
verified: no, type: mrr_at_10
value: 43.088
verified: no, type: mrr_at_100
value: 44.03
verified: no, type: mrr_at_1000
value: 44.072
verified: no, type: mrr_at_3
value: 40.656
verified: no, type: mrr_at_5
value: 42.138999999999996
verified: no, type: ndcg_at_1
value: 33.769
verified: no, type: ndcg_at_10
value: 44.676
verified: no, type: ndcg_at_100
value: 50.416000000000004
verified: no, type: ndcg_at_1000
value: 52.227999999999994
verified: no, type: ndcg_at_3
value: 39.494
verified: no, type: ndcg_at_5
value: 42.013
verified: no, type: precision_at_1
value: 33.769
verified: no, type: precision_at_10
value: 7.668
verified: no, type: precision_at_100
value: 1.18
verified: no, type: precision_at_1000
value: 0.145
verified: no, type: precision_at_3
value: 18.221
verified: no, type: precision_at_5
value: 12.966
verified: no, type: recall_at_1
value: 28.639
verified: no, type: recall_at_10
value: 57.687999999999995
verified: no, type: recall_at_100
value: 82.541
verified: no, type: recall_at_1000
value: 94.896
verified: no, type: recall_at_3
value: 43.651
verified: no, type: recall_at_5
value: 49.925999999999995
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWebmastersRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 29.57
verified: no, type: map_at_10
value: 40.004
verified: no, type: map_at_100
value: 41.75
verified: no, type: map_at_1000
value: 41.97
verified: no, type: map_at_3
value: 36.788
verified: no, type: map_at_5
value: 38.671
verified: no, type: mrr_at_1
value: 35.375
verified: no, type: mrr_at_10
value: 45.121
verified: no, type: mrr_at_100
value: 45.994
verified: no, type: mrr_at_1000
value: 46.04
verified: no, type: mrr_at_3
value: 42.227
verified: no, type: mrr_at_5
value: 43.995
verified: no, type: ndcg_at_1
value: 35.375
verified: no, type: ndcg_at_10
value: 46.392
verified: no, type: ndcg_at_100
value: 52.196
verified: no, type: ndcg_at_1000
value: 54.274
verified: no, type: ndcg_at_3
value: 41.163
verified: no, type: ndcg_at_5
value: 43.813
verified: no, type: precision_at_1
value: 35.375
verified: no, type: precision_at_10
value: 8.676
verified: no, type: precision_at_100
value: 1.678
verified: no, type: precision_at_1000
value: 0.253
verified: no, type: precision_at_3
value: 19.104
verified: no, type: precision_at_5
value: 13.913
verified: no, type: recall_at_1
value: 29.57
verified: no, type: recall_at_10
value: 58.779
verified: no, type: recall_at_100
value: 83.337
verified: no, type: recall_at_1000
value: 95.979
verified: no, type: recall_at_3
value: 44.005
verified: no, type: recall_at_5
value: 50.975
verified: no, task: type: Retrieval
dataset: type: BeIR/cqadupstack
name: MTEB CQADupstackWordpressRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 20.832
verified: no, type: map_at_10
value: 29.733999999999998
verified: no, type: map_at_100
value: 30.727
verified: no, type: map_at_1000
value: 30.843999999999998
verified: no, type: map_at_3
value: 26.834999999999997
verified: no, type: map_at_5
value: 28.555999999999997
verified: no, type: mrr_at_1
value: 22.921
verified: no, type: mrr_at_10
value: 31.791999999999998
verified: no, type: mrr_at_100
value: 32.666000000000004
verified: no, type: mrr_at_1000
value: 32.751999999999995
verified: no, type: mrr_at_3
value: 29.144
verified: no, type: mrr_at_5
value: 30.622
verified: no, type: ndcg_at_1
value: 22.921
verified: no, type: ndcg_at_10
value: 34.915
verified: no, type: ndcg_at_100
value: 39.744
verified: no, type: ndcg_at_1000
value: 42.407000000000004
verified: no, type: ndcg_at_3
value: 29.421000000000003
verified: no, type: ndcg_at_5
value: 32.211
verified: no, type: precision_at_1
value: 22.921
verified: no, type: precision_at_10
value: 5.675
verified: no, type: precision_at_100
value: 0.872
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 12.753999999999998
verified: no, type: precision_at_5
value: 9.353
verified: no, type: recall_at_1
value: 20.832
verified: no, type: recall_at_10
value: 48.795
verified: no, type: recall_at_100
value: 70.703
verified: no, type: recall_at_1000
value: 90.187
verified: no, type: recall_at_3
value: 34.455000000000005
verified: no, type: recall_at_5
value: 40.967
verified: no, task: type: Retrieval
dataset: type: climate-fever
name: MTEB ClimateFEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 10.334
verified: no, type: map_at_10
value: 19.009999999999998
verified: no, type: map_at_100
value: 21.129
verified: no, type: map_at_1000
value: 21.328
verified: no, type: map_at_3
value: 15.152
verified: no, type: map_at_5
value: 17.084
verified: no, type: mrr_at_1
value: 23.453
verified: no, type: mrr_at_10
value: 36.099
verified: no, type: mrr_at_100
value: 37.069
verified: no, type: mrr_at_1000
value: 37.104
verified: no, type: mrr_at_3
value: 32.096000000000004
verified: no, type: mrr_at_5
value: 34.451
verified: no, type: ndcg_at_1
value: 23.453
verified: no, type: ndcg_at_10
value: 27.739000000000004
verified: no, type: ndcg_at_100
value: 35.836
verified: no, type: ndcg_at_1000
value: 39.242
verified: no, type: ndcg_at_3
value: 21.263
verified: no, type: ndcg_at_5
value: 23.677
verified: no, type: precision_at_1
value: 23.453
verified: no, type: precision_at_10
value: 9.199
verified: no, type: precision_at_100
value: 1.791
verified: no, type: precision_at_1000
value: 0.242
verified: no, type: precision_at_3
value: 16.2
verified: no, type: precision_at_5
value: 13.147
verified: no, type: recall_at_1
value: 10.334
verified: no, type: recall_at_10
value: 35.177
verified: no, type: recall_at_100
value: 63.009
verified: no, type: recall_at_1000
value: 81.938
verified: no, type: recall_at_3
value: 19.914
verified: no, type: recall_at_5
value: 26.077
verified: no, task: type: Retrieval
dataset: type: dbpedia-entity
name: MTEB DBPedia
config: default
split: test
revision: None
metrics: type: map_at_1
value: 8.212
verified: no, type: map_at_10
value: 17.386
verified: no, type: map_at_100
value: 24.234
verified: no, type: map_at_1000
value: 25.724999999999998
verified: no, type: map_at_3
value: 12.727
verified: no, type: map_at_5
value: 14.785
verified: no, type: mrr_at_1
value: 59.25
verified: no, type: mrr_at_10
value: 68.687
verified: no, type: mrr_at_100
value: 69.133
verified: no, type: mrr_at_1000
value: 69.14099999999999
verified: no, type: mrr_at_3
value: 66.917
verified: no, type: mrr_at_5
value: 67.742
verified: no, type: ndcg_at_1
value: 48.625
verified: no, type: ndcg_at_10
value: 36.675999999999995
verified: no, type: ndcg_at_100
value: 41.543
verified: no, type: ndcg_at_1000
value: 49.241
verified: no, type: ndcg_at_3
value: 41.373
verified: no, type: ndcg_at_5
value: 38.707
verified: no, type: precision_at_1
value: 59.25
verified: no, type: precision_at_10
value: 28.525
verified: no, type: precision_at_100
value: 9.027000000000001
verified: no, type: precision_at_1000
value: 1.8339999999999999
verified: no, type: precision_at_3
value: 44.833
verified: no, type: precision_at_5
value: 37.35
verified: no, type: recall_at_1
value: 8.212
verified: no, type: recall_at_10
value: 23.188
verified: no, type: recall_at_100
value: 48.613
verified: no, type: recall_at_1000
value: 73.093
verified: no, type: recall_at_3
value: 14.419
verified: no, type: recall_at_5
value: 17.798
verified: no, task: type: Classification
dataset: type: mteb/emotion
name: MTEB EmotionClassification
config: default
split: test
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
metrics: type: accuracy
value: 52.725
verified: no, type: f1
value: 46.50743309855908
verified: no, task: type: Retrieval
dataset: type: fever
name: MTEB FEVER
config: default
split: test
revision: None
metrics: type: map_at_1
value: 55.086
verified: no, type: map_at_10
value: 66.914
verified: no, type: map_at_100
value: 67.321
verified: no, type: map_at_1000
value: 67.341
verified: no, type: map_at_3
value: 64.75800000000001
verified: no, type: map_at_5
value: 66.189
verified: no, type: mrr_at_1
value: 59.28600000000001
verified: no, type: mrr_at_10
value: 71.005
verified: no, type: mrr_at_100
value: 71.304
verified: no, type: mrr_at_1000
value: 71.313
verified: no, type: mrr_at_3
value: 69.037
verified: no, type: mrr_at_5
value: 70.35
verified: no, type: ndcg_at_1
value: 59.28600000000001
verified: no, type: ndcg_at_10
value: 72.695
verified: no, type: ndcg_at_100
value: 74.432
verified: no, type: ndcg_at_1000
value: 74.868
verified: no, type: ndcg_at_3
value: 68.72200000000001
verified: no, type: ndcg_at_5
value: 71.081
verified: no, type: precision_at_1
value: 59.28600000000001
verified: no, type: precision_at_10
value: 9.499
verified: no, type: precision_at_100
value: 1.052
verified: no, type: precision_at_1000
value: 0.11100000000000002
verified: no, type: precision_at_3
value: 27.503
verified: no, type: precision_at_5
value: 17.854999999999997
verified: no, type: recall_at_1
value: 55.086
verified: no, type: recall_at_10
value: 86.453
verified: no, type: recall_at_100
value: 94.028
verified: no, type: recall_at_1000
value: 97.052
verified: no, type: recall_at_3
value: 75.821
verified: no, type: recall_at_5
value: 81.6
verified: no, task: type: Retrieval
dataset: type: fiqa
name: MTEB FiQA2018
config: default
split: test
revision: None
metrics: type: map_at_1
value: 22.262999999999998
verified: no, type: map_at_10
value: 37.488
verified: no, type: map_at_100
value: 39.498
verified: no, type: map_at_1000
value: 39.687
verified: no, type: map_at_3
value: 32.529
verified: no, type: map_at_5
value: 35.455
verified: no, type: mrr_at_1
value: 44.907000000000004
verified: no, type: mrr_at_10
value: 53.239000000000004
verified: no, type: mrr_at_100
value: 54.086
verified: no, type: mrr_at_1000
value: 54.122
verified: no, type: mrr_at_3
value: 51.235
verified: no, type: mrr_at_5
value: 52.415
verified: no, type: ndcg_at_1
value: 44.907000000000004
verified: no, type: ndcg_at_10
value: 45.446
verified: no, type: ndcg_at_100
value: 52.429
verified: no, type: ndcg_at_1000
value: 55.169000000000004
verified: no, type: ndcg_at_3
value: 41.882000000000005
verified: no, type: ndcg_at_5
value: 43.178
verified: no, type: precision_at_1
value: 44.907000000000004
verified: no, type: precision_at_10
value: 12.931999999999999
verified: no, type: precision_at_100
value: 2.025
verified: no, type: precision_at_1000
value: 0.248
verified: no, type: precision_at_3
value: 28.652
verified: no, type: precision_at_5
value: 21.204
verified: no, type: recall_at_1
value: 22.262999999999998
verified: no, type: recall_at_10
value: 52.447
verified: no, type: recall_at_100
value: 78.045
verified: no, type: recall_at_1000
value: 94.419
verified: no, type: recall_at_3
value: 38.064
verified: no, type: recall_at_5
value: 44.769
verified: no, task: type: Retrieval
dataset: type: hotpotqa
name: MTEB HotpotQA
config: default
split: test
revision: None
metrics: type: map_at_1
value: 32.519
verified: no, type: map_at_10
value: 45.831
verified: no, type: map_at_100
value: 46.815
verified: no, type: map_at_1000
value: 46.899
verified: no, type: map_at_3
value: 42.836
verified: no, type: map_at_5
value: 44.65
verified: no, type: mrr_at_1
value: 65.037
verified: no, type: mrr_at_10
value: 72.16
verified: no, type: mrr_at_100
value: 72.51100000000001
verified: no, type: mrr_at_1000
value: 72.53
verified: no, type: mrr_at_3
value: 70.682
verified: no, type: mrr_at_5
value: 71.54599999999999
verified: no, type: ndcg_at_1
value: 65.037
verified: no, type: ndcg_at_10
value: 55.17999999999999
verified: no, type: ndcg_at_100
value: 58.888
verified: no, type: ndcg_at_1000
value: 60.648
verified: no, type: ndcg_at_3
value: 50.501
verified: no, type: ndcg_at_5
value: 52.977
verified: no, type: precision_at_1
value: 65.037
verified: no, type: precision_at_10
value: 11.530999999999999
verified: no, type: precision_at_100
value: 1.4460000000000002
verified: no, type: precision_at_1000
value: 0.168
verified: no, type: precision_at_3
value: 31.483
verified: no, type: precision_at_5
value: 20.845
verified: no, type: recall_at_1
value: 32.519
verified: no, type: recall_at_10
value: 57.657000000000004
verified: no, type: recall_at_100
value: 72.30199999999999
verified: no, type: recall_at_1000
value: 84.024
verified: no, type: recall_at_3
value: 47.225
verified: no, type: recall_at_5
value: 52.113
verified: no, task: type: Classification
dataset: type: mteb/imdb
name: MTEB ImdbClassification
config: default
split: test
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
metrics: type: accuracy
value: 88.3168
verified: no, type: ap
value: 83.80165516037135
verified: no, type: f1
value: 88.29942471066407
verified: no, task: type: Retrieval
dataset: type: msmarco
name: MTEB MSMARCO
config: default
split: dev
revision: None
metrics: type: map_at_1
value: 20.724999999999998
verified: no, type: map_at_10
value: 32.736
verified: no, type: map_at_100
value: 33.938
verified: no, type: map_at_1000
value: 33.991
verified: no, type: map_at_3
value: 28.788000000000004
verified: no, type: map_at_5
value: 31.016
verified: no, type: mrr_at_1
value: 21.361
verified: no, type: mrr_at_10
value: 33.323
verified: no, type: mrr_at_100
value: 34.471000000000004
verified: no, type: mrr_at_1000
value: 34.518
verified: no, type: mrr_at_3
value: 29.453000000000003
verified: no, type: mrr_at_5
value: 31.629
verified: no, type: ndcg_at_1
value: 21.361
verified: no, type: ndcg_at_10
value: 39.649
verified: no, type: ndcg_at_100
value: 45.481
verified: no, type: ndcg_at_1000
value: 46.775
verified: no, type: ndcg_at_3
value: 31.594
verified: no, type: ndcg_at_5
value: 35.543
verified: no, type: precision_at_1
value: 21.361
verified: no, type: precision_at_10
value: 6.3740000000000006
verified: no, type: precision_at_100
value: 0.931
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_3
value: 13.514999999999999
verified: no, type: precision_at_5
value: 10.100000000000001
verified: no, type: recall_at_1
value: 20.724999999999998
verified: no, type: recall_at_10
value: 61.034
verified: no, type: recall_at_100
value: 88.062
verified: no, type: recall_at_1000
value: 97.86399999999999
verified: no, type: recall_at_3
value: 39.072
verified: no, type: recall_at_5
value: 48.53
verified: no, task: type: Classification
dataset: type: mteb/mtop_domain
name: MTEB MTOPDomainClassification (en)
config: en
split: test
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
metrics: type: accuracy
value: 93.8919288645691
verified: no, type: f1
value: 93.57059586398059
verified: no, task: type: Classification
dataset: type: mteb/mtop_intent
name: MTEB MTOPIntentClassification (en)
config: en
split: test
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
metrics: type: accuracy
value: 67.97993616051072
verified: no, type: f1
value: 48.244319183606535
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: 68.90047074646941
verified: no, type: f1
value: 66.48999056063725
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: 73.34566240753195
verified: no, type: f1
value: 73.54164154290658
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: 34.21866934757011
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: 32.000936217235534
verified: no, task: type: Reranking
dataset: type: mteb/mind_small
name: MTEB MindSmallReranking
config: default
split: test
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
metrics: type: map
value: 31.68189362520352
verified: no, type: mrr
value: 32.69603637784303
verified: no, task: type: Retrieval
dataset: type: nfcorpus
name: MTEB NFCorpus
config: default
split: test
revision: None
metrics: type: map_at_1
value: 6.078
verified: no, type: map_at_10
value: 12.671
verified: no, type: map_at_100
value: 16.291
verified: no, type: map_at_1000
value: 17.855999999999998
verified: no, type: map_at_3
value: 9.610000000000001
verified: no, type: map_at_5
value: 11.152
verified: no, type: mrr_at_1
value: 43.963
verified: no, type: mrr_at_10
value: 53.173
verified: no, type: mrr_at_100
value: 53.718999999999994
verified: no, type: mrr_at_1000
value: 53.756
verified: no, type: mrr_at_3
value: 50.980000000000004
verified: no, type: mrr_at_5
value: 52.42
verified: no, type: ndcg_at_1
value: 42.415000000000006
verified: no, type: ndcg_at_10
value: 34.086
verified: no, type: ndcg_at_100
value: 32.545
verified: no, type: ndcg_at_1000
value: 41.144999999999996
verified: no, type: ndcg_at_3
value: 39.434999999999995
verified: no, type: ndcg_at_5
value: 37.888
verified: no, type: precision_at_1
value: 43.653
verified: no, type: precision_at_10
value: 25.014999999999997
verified: no, type: precision_at_100
value: 8.594
verified: no, type: precision_at_1000
value: 2.169
verified: no, type: precision_at_3
value: 37.049
verified: no, type: precision_at_5
value: 33.065
verified: no, type: recall_at_1
value: 6.078
verified: no, type: recall_at_10
value: 16.17
verified: no, type: recall_at_100
value: 34.512
verified: no, type: recall_at_1000
value: 65.447
verified: no, type: recall_at_3
value: 10.706
verified: no, type: recall_at_5
value: 13.158
verified: no, task: type: Retrieval
dataset: type: nq
name: MTEB NQ
config: default
split: test
revision: None
metrics: type: map_at_1
value: 27.378000000000004
verified: no, type: map_at_10
value: 42.178
verified: no, type: map_at_100
value: 43.32
verified: no, type: map_at_1000
value: 43.358000000000004
verified: no, type: map_at_3
value: 37.474000000000004
verified: no, type: map_at_5
value: 40.333000000000006
verified: no, type: mrr_at_1
value: 30.823
verified: no, type: mrr_at_10
value: 44.626
verified: no, type: mrr_at_100
value: 45.494
verified: no, type: mrr_at_1000
value: 45.519
verified: no, type: mrr_at_3
value: 40.585
verified: no, type: mrr_at_5
value: 43.146
verified: no, type: ndcg_at_1
value: 30.794
verified: no, type: ndcg_at_10
value: 50.099000000000004
verified: no, type: ndcg_at_100
value: 54.900999999999996
verified: no, type: ndcg_at_1000
value: 55.69499999999999
verified: no, type: ndcg_at_3
value: 41.238
verified: no, type: ndcg_at_5
value: 46.081
verified: no, type: precision_at_1
value: 30.794
verified: no, type: precision_at_10
value: 8.549
verified: no, type: precision_at_100
value: 1.124
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_3
value: 18.926000000000002
verified: no, type: precision_at_5
value: 14.16
verified: no, type: recall_at_1
value: 27.378000000000004
verified: no, type: recall_at_10
value: 71.842
verified: no, type: recall_at_100
value: 92.565
verified: no, type: recall_at_1000
value: 98.402
verified: no, type: recall_at_3
value: 49.053999999999995
verified: no, type: recall_at_5
value: 60.207
verified: no, task: type: Retrieval
dataset: type: quora
name: MTEB QuoraRetrieval
config: default
split: test
revision: None
metrics: type: map_at_1
value: 70.557
verified: no, type: map_at_10
value: 84.729
verified: no, type: map_at_100
value: 85.369
verified: no, type: map_at_1000
value: 85.382
verified: no, type: map_at_3
value: 81.72
verified: no, type: map_at_5
value: 83.613
verified: no, type: mrr_at_1
value: 81.3
verified: no, type: mrr_at_10
value: 87.488
verified: no, type: mrr_at_100
value: 87.588
verified: no, type: mrr_at_1000
value: 87.589
verified: no, type: mrr_at_3
value: 86.53
verified: no, type: mrr_at_5
value: 87.18599999999999
verified: no, type: ndcg_at_1
value: 81.28999999999999
verified: no, type: ndcg_at_10
value: 88.442
verified: no, type: ndcg_at_100
value: 89.637
verified: no, type: ndcg_at_1000
value: 89.70700000000001
verified: no, type: ndcg_at_3
value: 85.55199999999999
verified: no, type: ndcg_at_5
value: 87.154
verified: no, type: precision_at_1
value: 81.28999999999999
verified: no, type: precision_at_10
value: 13.489999999999998
verified: no, type: precision_at_100
value: 1.54
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 37.553
verified: no, type: precision_at_5
value: 24.708
verified: no, type: recall_at_1
value: 70.557
verified: no, type: recall_at_10
value: 95.645
verified: no, type: recall_at_100
value: 99.693
verified: no, type: recall_at_1000
value: 99.995
verified: no, type: recall_at_3
value: 87.359
verified: no, type: recall_at_5
value: 91.89699999999999
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering
name: MTEB RedditClustering
config: default
split: test
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
metrics: type: v_measure
value: 63.65060114776209
verified: no, task: type: Clustering
dataset: type: mteb/reddit-clustering-p2p
name: MTEB RedditClusteringP2P
config: default
split: test
revision: 282350215ef01743dc01b456c7f5241fa8937f16
metrics: type: v_measure
value: 64.63271250680617
verified: no, task: type: Retrieval
dataset: type: scidocs
name: MTEB SCIDOCS
config: default
split: test
revision: None
metrics: type: map_at_1
value: 4.263
verified: no, type: map_at_10
value: 10.801
verified: no, type: map_at_100
value: 12.888
verified: no, type: map_at_1000
value: 13.224
verified: no, type: map_at_3
value: 7.362
verified: no, type: map_at_5
value: 9.149000000000001
verified: no, type: mrr_at_1
value: 21
verified: no, type: mrr_at_10
value: 31.416
verified: no, type: mrr_at_100
value: 32.513
verified: no, type: mrr_at_1000
value: 32.58
verified: no, type: mrr_at_3
value: 28.116999999999997
verified: no, type: mrr_at_5
value: 29.976999999999997
verified: no, type: ndcg_at_1
value: 21
verified: no, type: ndcg_at_10
value: 18.551000000000002
verified: no, type: ndcg_at_100
value: 26.657999999999998
verified: no, type: ndcg_at_1000
value: 32.485
verified: no, type: ndcg_at_3
value: 16.834
verified: no, type: ndcg_at_5
value: 15.204999999999998
verified: no, type: precision_at_1
value: 21
verified: no, type: precision_at_10
value: 9.84
verified: no, type: precision_at_100
value: 2.16
verified: no, type: precision_at_1000
value: 0.35500000000000004
verified: no, type: precision_at_3
value: 15.667
verified: no, type: precision_at_5
value: 13.62
verified: no, type: recall_at_1
value: 4.263
verified: no, type: recall_at_10
value: 19.922
verified: no, type: recall_at_100
value: 43.808
verified: no, type: recall_at_1000
value: 72.14500000000001
verified: no, type: recall_at_3
value: 9.493
verified: no, type: recall_at_5
value: 13.767999999999999
verified: no, task: type: STS
dataset: type: mteb/sickr-sts
name: MTEB SICK-R
config: default
split: test
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
metrics: type: cos_sim_spearman
value: 81.27446313317233
verified: no, task: type: STS
dataset: type: mteb/sts12-sts
name: MTEB STS12
config: default
split: test
revision: a0d554a64d88156834ff5ae9920b964011b16384
metrics: type: cos_sim_spearman
value: 76.27963301217527
verified: no, task: type: STS
dataset: type: mteb/sts13-sts
name: MTEB STS13
config: default
split: test
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
metrics: type: cos_sim_spearman
value: 88.18495048450949
verified: no, task: type: STS
dataset: type: mteb/sts14-sts
name: MTEB STS14
config: default
split: test
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
metrics: type: cos_sim_spearman
value: 81.91982338692046
verified: no, task: type: STS
dataset: type: mteb/sts15-sts
name: MTEB STS15
config: default
split: test
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
metrics: type: cos_sim_spearman
value: 89.00896818385291
verified: no, task: type: STS
dataset: type: mteb/sts16-sts
name: MTEB STS16
config: default
split: test
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
metrics: type: cos_sim_spearman
value: 85.48814644586132
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_spearman
value: 90.30116926966582
verified: no, task: type: STS
dataset: type: mteb/sts22-crosslingual-sts
name: MTEB STS22 (en)
config: en
split: test
revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80
metrics: type: cos_sim_spearman
value: 67.74132963032342
verified: no, task: type: STS
dataset: type: mteb/stsbenchmark-sts
name: MTEB STSBenchmark
config: default
split: test
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
metrics: type: cos_sim_spearman
value: 86.87741355780479
verified: no, task: type: Reranking
dataset: type: mteb/scidocs-reranking
name: MTEB SciDocsRR
config: default
split: test
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
metrics: type: map
value: 82.0019012295875
verified: no, type: mrr
value: 94.70267024188593
verified: no, task: type: Retrieval
dataset: type: scifact
name: MTEB SciFact
config: default
split: test
revision: None
metrics: type: map_at_1
value: 50.05
verified: no, type: map_at_10
value: 59.36
verified: no, type: map_at_100
value: 59.967999999999996
verified: no, type: map_at_1000
value: 60.023
verified: no, type: map_at_3
value: 56.515
verified: no, type: map_at_5
value: 58.272999999999996
verified: no, type: mrr_at_1
value: 53
verified: no, type: mrr_at_10
value: 61.102000000000004
verified: no, type: mrr_at_100
value: 61.476
verified: no, type: mrr_at_1000
value: 61.523
verified: no, type: mrr_at_3
value: 58.778
verified: no, type: mrr_at_5
value: 60.128
verified: no, type: ndcg_at_1
value: 53
verified: no, type: ndcg_at_10
value: 64.43100000000001
verified: no, type: ndcg_at_100
value: 66.73599999999999
verified: no, type: ndcg_at_1000
value: 68.027
verified: no, type: ndcg_at_3
value: 59.279
verified: no, type: ndcg_at_5
value: 61.888
verified: no, type: precision_at_1
value: 53
verified: no, type: precision_at_10
value: 8.767
verified: no, type: precision_at_100
value: 1.01
verified: no, type: precision_at_1000
value: 0.11100000000000002
verified: no, type: precision_at_3
value: 23.444000000000003
verified: no, type: precision_at_5
value: 15.667
verified: no, type: recall_at_1
value: 50.05
verified: no, type: recall_at_10
value: 78.511
verified: no, type: recall_at_100
value: 88.5
verified: no, type: recall_at_1000
value: 98.333
verified: no, type: recall_at_3
value: 64.117
verified: no, type: recall_at_5
value: 70.867
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: 99.72178217821782
verified: no, type: cos_sim_ap
value: 93.0728601593541
verified: no, type: cos_sim_f1
value: 85.6727976766699
verified: no, type: cos_sim_precision
value: 83.02063789868667
verified: no, type: cos_sim_recall
value: 88.5
verified: no, type: dot_accuracy
value: 99.72178217821782
verified: no, type: dot_ap
value: 93.07287396168348
verified: no, type: dot_f1
value: 85.6727976766699
verified: no, type: dot_precision
value: 83.02063789868667
verified: no, type: dot_recall
value: 88.5
verified: no, type: euclidean_accuracy
value: 99.72178217821782
verified: no, type: euclidean_ap
value: 93.07285657982895
verified: no, type: euclidean_f1
value: 85.6727976766699
verified: no, type: euclidean_precision
value: 83.02063789868667
verified: no, type: euclidean_recall
value: 88.5
verified: no, type: manhattan_accuracy
value: 99.72475247524753
verified: no, type: manhattan_ap
value: 93.02792973059809
verified: no, type: manhattan_f1
value: 85.7727737973388
verified: no, type: manhattan_precision
value: 87.84067085953879
verified: no, type: manhattan_recall
value: 83.8
verified: no, type: max_accuracy
value: 99.72475247524753
verified: no, type: max_ap
value: 93.07287396168348
verified: no, type: max_f1
value: 85.7727737973388
verified: no, task: type: Clustering
dataset: type: mteb/stackexchange-clustering
name: MTEB StackExchangeClustering
config: default
split: test
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
metrics: type: v_measure
value: 68.77583615550819
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: 36.151636938606956
verified: no, task: type: Reranking
dataset: type: mteb/stackoverflowdupquestions-reranking
name: MTEB StackOverflowDupQuestions
config: default
split: test
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
metrics: type: map
value: 52.16607939471187
verified: no, type: mrr
value: 52.95172046091163
verified: no, task: type: Summarization
dataset: type: mteb/summeval
name: MTEB SummEval
config: default
split: test
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
metrics: type: cos_sim_pearson
value: 31.314646669495666
verified: no, type: cos_sim_spearman
value: 31.83562491439455
verified: no, type: dot_pearson
value: 31.314590842874157
verified: no, type: dot_spearman
value: 31.83363065810437
verified: no, task: type: Retrieval
dataset: type: trec-covid
name: MTEB TRECCOVID
config: default
split: test
revision: None
metrics: type: map_at_1
value: 0.198
verified: no, type: map_at_10
value: 1.3010000000000002
verified: no, type: map_at_100
value: 7.2139999999999995
verified: no, type: map_at_1000
value: 20.179
verified: no, type: map_at_3
value: 0.528
verified: no, type: map_at_5
value: 0.8019999999999999
verified: no, type: mrr_at_1
value: 72
verified: no, type: mrr_at_10
value: 83.39999999999999
verified: no, type: mrr_at_100
value: 83.39999999999999
verified: no, type: mrr_at_1000
value: 83.39999999999999
verified: no, type: mrr_at_3
value: 81.667
verified: no, type: mrr_at_5
value: 83.06700000000001
verified: no, type: ndcg_at_1
value: 66
verified: no, type: ndcg_at_10
value: 58.059000000000005
verified: no, type: ndcg_at_100
value: 44.316
verified: no, type: ndcg_at_1000
value: 43.147000000000006
verified: no, type: ndcg_at_3
value: 63.815999999999995
verified: no, type: ndcg_at_5
value: 63.005
verified: no, type: precision_at_1
value: 72
verified: no, type: precision_at_10
value: 61.4
verified: no, type: precision_at_100
value: 45.62
verified: no, type: precision_at_1000
value: 19.866
verified: no, type: precision_at_3
value: 70
verified: no, type: precision_at_5
value: 68.8
verified: no, type: recall_at_1
value: 0.198
verified: no, type: recall_at_10
value: 1.517
verified: no, type: recall_at_100
value: 10.587
verified: no, type: recall_at_1000
value: 41.233
verified: no, type: recall_at_3
value: 0.573
verified: no, type: recall_at_5
value: 0.907
verified: no, task: type: Retrieval
dataset: type: webis-touche2020
name: MTEB Touche2020
config: default
split: test
revision: None
metrics: type: map_at_1
value: 1.894
verified: no, type: map_at_10
value: 8.488999999999999
verified: no, type: map_at_100
value: 14.445
verified: no, type: map_at_1000
value: 16.078
verified: no, type: map_at_3
value: 4.589
verified: no, type: map_at_5
value: 6.019
verified: no, type: mrr_at_1
value: 22.448999999999998
verified: no, type: mrr_at_10
value: 39.82
verified: no, type: mrr_at_100
value: 40.752
verified: no, type: mrr_at_1000
value: 40.771
verified: no, type: mrr_at_3
value: 34.354
verified: no, type: mrr_at_5
value: 37.721
verified: no, type: ndcg_at_1
value: 19.387999999999998
verified: no, type: ndcg_at_10
value: 21.563
verified: no, type: ndcg_at_100
value: 33.857
verified: no, type: ndcg_at_1000
value: 46.199
verified: no, type: ndcg_at_3
value: 22.296
verified: no, type: ndcg_at_5
value: 21.770999999999997
verified: no, type: precision_at_1
value: 22.448999999999998
verified: no, type: precision_at_10
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verified: no, type: precision_at_100
value: 7.142999999999999
verified: no, type: precision_at_1000
value: 1.541
verified: no, type: precision_at_3
value: 24.490000000000002
verified: no, type: precision_at_5
value: 22.448999999999998
verified: no, type: recall_at_1
value: 1.894
verified: no, type: recall_at_10
value: 14.931
verified: no, type: recall_at_100
value: 45.524
verified: no, type: recall_at_1000
value: 83.243
verified: no, type: recall_at_3
value: 5.712
verified: no, type: recall_at_5
value: 8.386000000000001
verified: no, task: type: Classification
dataset: type: mteb/toxic_conversations_50k
name: MTEB ToxicConversationsClassification
config: default
split: test
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
metrics: type: accuracy
value: 71.049
verified: no, type: ap
value: 13.85116971310922
verified: no, type: f1
value: 54.37504302487686
verified: no, task: type: Classification
dataset: type: mteb/tweet_sentiment_extraction
name: MTEB TweetSentimentExtractionClassification
config: default
split: test
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
metrics: type: accuracy
value: 64.1312959818902
verified: no, type: f1
value: 64.11413877009383
verified: no, task: type: Clustering
dataset: type: mteb/twentynewsgroups-clustering
name: MTEB TwentyNewsgroupsClustering
config: default
split: test
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
metrics: type: v_measure
value: 54.13103431861502
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: 87.327889372355
verified: no, type: cos_sim_ap
value: 77.42059895975699
verified: no, type: cos_sim_f1
value: 71.02706903250873
verified: no, type: cos_sim_precision
value: 69.75324344950394
verified: no, type: cos_sim_recall
value: 72.34828496042216
verified: no, type: dot_accuracy
value: 87.327889372355
verified: no, type: dot_ap
value: 77.4209479346677
verified: no, type: dot_f1
value: 71.02706903250873
verified: no, type: dot_precision
value: 69.75324344950394
verified: no, type: dot_recall
value: 72.34828496042216
verified: no, type: euclidean_accuracy
value: 87.327889372355
verified: no, type: euclidean_ap
value: 77.42096495861037
verified: no, type: euclidean_f1
value: 71.02706903250873
verified: no, type: euclidean_precision
value: 69.75324344950394
verified: no, type: euclidean_recall
value: 72.34828496042216
verified: no, type: manhattan_accuracy
value: 87.31000774870358
verified: no, type: manhattan_ap
value: 77.38930750711619
verified: no, type: manhattan_f1
value: 71.07935314027831
verified: no, type: manhattan_precision
value: 67.70957726295677
verified: no, type: manhattan_recall
value: 74.80211081794195
verified: no, type: max_accuracy
value: 87.327889372355
verified: no, type: max_ap
value: 77.42096495861037
verified: no, type: max_f1
value: 71.07935314027831
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: 89.58939729110878
verified: no, type: cos_sim_ap
value: 87.17594155025475
verified: no, type: cos_sim_f1
value: 79.21146953405018
verified: no, type: cos_sim_precision
value: 76.8918527109307
verified: no, type: cos_sim_recall
value: 81.67539267015707
verified: no, type: dot_accuracy
value: 89.58939729110878
verified: no, type: dot_ap
value: 87.17593963273593
verified: no, type: dot_f1
value: 79.21146953405018
verified: no, type: dot_precision
value: 76.8918527109307
verified: no, type: dot_recall
value: 81.67539267015707
verified: no, type: euclidean_accuracy
value: 89.58939729110878
verified: no, type: euclidean_ap
value: 87.17592466925834
verified: no, type: euclidean_f1
value: 79.21146953405018
verified: no, type: euclidean_precision
value: 76.8918527109307
verified: no, type: euclidean_recall
value: 81.67539267015707
verified: no, type: manhattan_accuracy
value: 89.62626615438352
verified: no, type: manhattan_ap
value: 87.16589873161546
verified: no, type: manhattan_f1
value: 79.25143598295348
verified: no, type: manhattan_precision
value: 76.39494177323712
verified: no, type: manhattan_recall
value: 82.32984293193716
verified: no, type: max_accuracy
value: 89.62626615438352
verified: no, type: max_ap
value: 87.17594155025475
verified: no, type: max_f1
value: 79.25143598295348
verified: no
duplicated_from: hkunlp/instructor-large
Likes: 1 | All-time downloads: 607
Created: 2023-03-09 21:12:01