Model: Alibaba-NLP/gte-Qwen2-1.5B-instruct
Author: Alibaba-NLP
Pipeline: sentence-similarity
Library: sentence-transformers
Tags: sentence-transformers, safetensors, qwen2, text-generation, mteb, transformers, Qwen2, sentence-similarity, custom_code, arxiv:2308.03281, license:apache-2.0, model-index, text-generation-inference, text-embeddings-inference, endpoints_compatible, region:us
Card metadata: tags: mteb, sentence-transformers, transformers, Qwen2, sentence-similarity
license: apache-2.0
model-index: name: gte-qwen2-7B-instruct
results: dataset: config: en
name: MTEB AmazonCounterfactualClassification (en)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics: type: accuracy
value: 83.98507462686567
verified: no, type: ap
value: 50.93015252587014
verified: no, type: f1
value: 78.50416599051215
verified: no
task: type: Classification, dataset: config: default
name: MTEB AmazonPolarityClassification
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
split: test
type: mteb/amazon_polarity
metrics: type: accuracy
value: 96.61065
verified: no, type: ap
value: 94.89174052954196
verified: no, type: f1
value: 96.60942596940565
verified: no
task: type: Classification, dataset: config: en
name: MTEB AmazonReviewsClassification (en)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 55.614000000000004
verified: no, type: f1
value: 54.90553480294904
verified: no
task: type: Classification, dataset: config: default
name: MTEB ArguAna
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
split: test
type: mteb/arguana
metrics: type: map_at_1
value: 45.164
verified: no, type: map_at_10
value: 61.519
verified: no, type: map_at_100
value: 61.769
verified: no, type: map_at_1000
value: 61.769
verified: no, type: map_at_3
value: 57.443999999999996
verified: no, type: map_at_5
value: 60.058
verified: no, type: mrr_at_1
value: 46.088
verified: no, type: mrr_at_10
value: 61.861
verified: no, type: mrr_at_100
value: 62.117999999999995
verified: no, type: mrr_at_1000
value: 62.117999999999995
verified: no, type: mrr_at_3
value: 57.729
verified: no, type: mrr_at_5
value: 60.392
verified: no, type: ndcg_at_1
value: 45.164
verified: no, type: ndcg_at_10
value: 69.72
verified: no, type: ndcg_at_100
value: 70.719
verified: no, type: ndcg_at_1000
value: 70.719
verified: no, type: ndcg_at_3
value: 61.517999999999994
verified: no, type: ndcg_at_5
value: 66.247
verified: no, type: precision_at_1
value: 45.164
verified: no, type: precision_at_10
value: 9.545
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: 24.443
verified: no, type: precision_at_5
value: 16.97
verified: no, type: recall_at_1
value: 45.164
verified: no, type: recall_at_10
value: 95.448
verified: no, type: recall_at_100
value: 99.644
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 73.329
verified: no, type: recall_at_5
value: 84.851
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ArxivClusteringP2P
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
split: test
type: mteb/arxiv-clustering-p2p
metrics: type: v_measure
value: 50.511868162026175
verified: no
task: type: Clustering, dataset: config: default
name: MTEB ArxivClusteringS2S
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
split: test
type: mteb/arxiv-clustering-s2s
metrics: type: v_measure
value: 45.007803189284004
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AskUbuntuDupQuestions
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
split: test
type: mteb/askubuntudupquestions-reranking
metrics: type: map
value: 64.55292107723382
verified: no, type: mrr
value: 77.66158818097877
verified: no
task: type: Reranking, dataset: config: default
name: MTEB BIOSSES
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
split: test
type: mteb/biosses-sts
metrics: type: cos_sim_pearson
value: 85.65459047085452
verified: no, type: cos_sim_spearman
value: 82.10729255710761
verified: no, type: euclidean_pearson
value: 82.78079159312476
verified: no, type: euclidean_spearman
value: 80.50002701880933
verified: no, type: manhattan_pearson
value: 82.41372641383016
verified: no, type: manhattan_spearman
value: 80.57412509272639
verified: no
task: type: STS, dataset: config: default
name: MTEB Banking77Classification
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
split: test
type: mteb/banking77
metrics: type: accuracy
value: 87.30844155844156
verified: no, type: f1
value: 87.25307322443255
verified: no
task: type: Classification, dataset: config: default
name: MTEB BiorxivClusteringP2P
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
split: test
type: mteb/biorxiv-clustering-p2p
metrics: type: v_measure
value: 43.20754608934859
verified: no
task: type: Clustering, dataset: config: default
name: MTEB BiorxivClusteringS2S
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
split: test
type: mteb/biorxiv-clustering-s2s
metrics: type: v_measure
value: 38.818037697335505
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CQADupstackAndroidRetrieval
revision: f46a197baaae43b4f621051089b82a364682dfeb
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 35.423
verified: no, type: map_at_10
value: 47.198
verified: no, type: map_at_100
value: 48.899
verified: no, type: map_at_1000
value: 49.004
verified: no, type: map_at_3
value: 43.114999999999995
verified: no, type: map_at_5
value: 45.491
verified: no, type: mrr_at_1
value: 42.918
verified: no, type: mrr_at_10
value: 53.299
verified: no, type: mrr_at_100
value: 54.032000000000004
verified: no, type: mrr_at_1000
value: 54.055
verified: no, type: mrr_at_3
value: 50.453
verified: no, type: mrr_at_5
value: 52.205999999999996
verified: no, type: ndcg_at_1
value: 42.918
verified: no, type: ndcg_at_10
value: 53.98
verified: no, type: ndcg_at_100
value: 59.57
verified: no, type: ndcg_at_1000
value: 60.879000000000005
verified: no, type: ndcg_at_3
value: 48.224000000000004
verified: no, type: ndcg_at_5
value: 50.998
verified: no, type: precision_at_1
value: 42.918
verified: no, type: precision_at_10
value: 10.299999999999999
verified: no, type: precision_at_100
value: 1.687
verified: no, type: precision_at_1000
value: 0.211
verified: no, type: precision_at_3
value: 22.842000000000002
verified: no, type: precision_at_5
value: 16.681
verified: no, type: recall_at_1
value: 35.423
verified: no, type: recall_at_10
value: 66.824
verified: no, type: recall_at_100
value: 89.564
verified: no, type: recall_at_1000
value: 97.501
verified: no, type: recall_at_3
value: 50.365
verified: no, type: recall_at_5
value: 57.921
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackEnglishRetrieval
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 33.205
verified: no, type: map_at_10
value: 44.859
verified: no, type: map_at_100
value: 46.135
verified: no, type: map_at_1000
value: 46.259
verified: no, type: map_at_3
value: 41.839
verified: no, type: map_at_5
value: 43.662
verified: no, type: mrr_at_1
value: 41.146
verified: no, type: mrr_at_10
value: 50.621
verified: no, type: mrr_at_100
value: 51.207
verified: no, type: mrr_at_1000
value: 51.246
verified: no, type: mrr_at_3
value: 48.535000000000004
verified: no, type: mrr_at_5
value: 49.818
verified: no, type: ndcg_at_1
value: 41.146
verified: no, type: ndcg_at_10
value: 50.683
verified: no, type: ndcg_at_100
value: 54.82
verified: no, type: ndcg_at_1000
value: 56.69
verified: no, type: ndcg_at_3
value: 46.611000000000004
verified: no, type: ndcg_at_5
value: 48.66
verified: no, type: precision_at_1
value: 41.146
verified: no, type: precision_at_10
value: 9.439
verified: no, type: precision_at_100
value: 1.465
verified: no, type: precision_at_1000
value: 0.194
verified: no, type: precision_at_3
value: 22.59
verified: no, type: precision_at_5
value: 15.86
verified: no, type: recall_at_1
value: 33.205
verified: no, type: recall_at_10
value: 61.028999999999996
verified: no, type: recall_at_100
value: 78.152
verified: no, type: recall_at_1000
value: 89.59700000000001
verified: no, type: recall_at_3
value: 49.05
verified: no, type: recall_at_5
value: 54.836
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackGamingRetrieval
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 41.637
verified: no, type: map_at_10
value: 55.162
verified: no, type: map_at_100
value: 56.142
verified: no, type: map_at_1000
value: 56.188
verified: no, type: map_at_3
value: 51.564
verified: no, type: map_at_5
value: 53.696
verified: no, type: mrr_at_1
value: 47.524
verified: no, type: mrr_at_10
value: 58.243
verified: no, type: mrr_at_100
value: 58.879999999999995
verified: no, type: mrr_at_1000
value: 58.9
verified: no, type: mrr_at_3
value: 55.69499999999999
verified: no, type: mrr_at_5
value: 57.284
verified: no, type: ndcg_at_1
value: 47.524
verified: no, type: ndcg_at_10
value: 61.305
verified: no, type: ndcg_at_100
value: 65.077
verified: no, type: ndcg_at_1000
value: 65.941
verified: no, type: ndcg_at_3
value: 55.422000000000004
verified: no, type: ndcg_at_5
value: 58.516
verified: no, type: precision_at_1
value: 47.524
verified: no, type: precision_at_10
value: 9.918000000000001
verified: no, type: precision_at_100
value: 1.276
verified: no, type: precision_at_1000
value: 0.13899999999999998
verified: no, type: precision_at_3
value: 24.765
verified: no, type: precision_at_5
value: 17.204
verified: no, type: recall_at_1
value: 41.637
verified: no, type: recall_at_10
value: 76.185
verified: no, type: recall_at_100
value: 92.149
verified: no, type: recall_at_1000
value: 98.199
verified: no, type: recall_at_3
value: 60.856
verified: no, type: recall_at_5
value: 68.25099999999999
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackGisRetrieval
revision: 5003b3064772da1887988e05400cf3806fe491f2
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 26.27
verified: no, type: map_at_10
value: 37.463
verified: no, type: map_at_100
value: 38.434000000000005
verified: no, type: map_at_1000
value: 38.509
verified: no, type: map_at_3
value: 34.226
verified: no, type: map_at_5
value: 36.161
verified: no, type: mrr_at_1
value: 28.588
verified: no, type: mrr_at_10
value: 39.383
verified: no, type: mrr_at_100
value: 40.23
verified: no, type: mrr_at_1000
value: 40.281
verified: no, type: mrr_at_3
value: 36.422
verified: no, type: mrr_at_5
value: 38.252
verified: no, type: ndcg_at_1
value: 28.588
verified: no, type: ndcg_at_10
value: 43.511
verified: no, type: ndcg_at_100
value: 48.274
verified: no, type: ndcg_at_1000
value: 49.975
verified: no, type: ndcg_at_3
value: 37.319
verified: no, type: ndcg_at_5
value: 40.568
verified: no, type: precision_at_1
value: 28.588
verified: no, type: precision_at_10
value: 6.893000000000001
verified: no, type: precision_at_100
value: 0.9900000000000001
verified: no, type: precision_at_1000
value: 0.117
verified: no, type: precision_at_3
value: 16.347
verified: no, type: precision_at_5
value: 11.661000000000001
verified: no, type: recall_at_1
value: 26.27
verified: no, type: recall_at_10
value: 60.284000000000006
verified: no, type: recall_at_100
value: 81.902
verified: no, type: recall_at_1000
value: 94.43
verified: no, type: recall_at_3
value: 43.537
verified: no, type: recall_at_5
value: 51.475
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackMathematicaRetrieval
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 18.168
verified: no, type: map_at_10
value: 28.410000000000004
verified: no, type: map_at_100
value: 29.78
verified: no, type: map_at_1000
value: 29.892999999999997
verified: no, type: map_at_3
value: 25.238
verified: no, type: map_at_5
value: 26.96
verified: no, type: mrr_at_1
value: 23.507
verified: no, type: mrr_at_10
value: 33.382
verified: no, type: mrr_at_100
value: 34.404
verified: no, type: mrr_at_1000
value: 34.467999999999996
verified: no, type: mrr_at_3
value: 30.637999999999998
verified: no, type: mrr_at_5
value: 32.199
verified: no, type: ndcg_at_1
value: 23.507
verified: no, type: ndcg_at_10
value: 34.571000000000005
verified: no, type: ndcg_at_100
value: 40.663
verified: no, type: ndcg_at_1000
value: 43.236000000000004
verified: no, type: ndcg_at_3
value: 29.053
verified: no, type: ndcg_at_5
value: 31.563999999999997
verified: no, type: precision_at_1
value: 23.507
verified: no, type: precision_at_10
value: 6.654
verified: no, type: precision_at_100
value: 1.113
verified: no, type: precision_at_1000
value: 0.146
verified: no, type: precision_at_3
value: 14.427999999999999
verified: no, type: precision_at_5
value: 10.498000000000001
verified: no, type: recall_at_1
value: 18.168
verified: no, type: recall_at_10
value: 48.443000000000005
verified: no, type: recall_at_100
value: 74.47
verified: no, type: recall_at_1000
value: 92.494
verified: no, type: recall_at_3
value: 33.379999999999995
verified: no, type: recall_at_5
value: 39.76
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackPhysicsRetrieval
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 32.39
verified: no, type: map_at_10
value: 44.479
verified: no, type: map_at_100
value: 45.977000000000004
verified: no, type: map_at_1000
value: 46.087
verified: no, type: map_at_3
value: 40.976
verified: no, type: map_at_5
value: 43.038
verified: no, type: mrr_at_1
value: 40.135
verified: no, type: mrr_at_10
value: 50.160000000000004
verified: no, type: mrr_at_100
value: 51.052
verified: no, type: mrr_at_1000
value: 51.087
verified: no, type: mrr_at_3
value: 47.818
verified: no, type: mrr_at_5
value: 49.171
verified: no, type: ndcg_at_1
value: 40.135
verified: no, type: ndcg_at_10
value: 50.731
verified: no, type: ndcg_at_100
value: 56.452000000000005
verified: no, type: ndcg_at_1000
value: 58.123000000000005
verified: no, type: ndcg_at_3
value: 45.507
verified: no, type: ndcg_at_5
value: 48.11
verified: no, type: precision_at_1
value: 40.135
verified: no, type: precision_at_10
value: 9.192
verified: no, type: precision_at_100
value: 1.397
verified: no, type: precision_at_1000
value: 0.169
verified: no, type: precision_at_3
value: 21.816
verified: no, type: precision_at_5
value: 15.476
verified: no, type: recall_at_1
value: 32.39
verified: no, type: recall_at_10
value: 63.597
verified: no, type: recall_at_100
value: 86.737
verified: no, type: recall_at_1000
value: 97.039
verified: no, type: recall_at_3
value: 48.906
verified: no, type: recall_at_5
value: 55.659000000000006
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackProgrammersRetrieval
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 28.397
verified: no, type: map_at_10
value: 39.871
verified: no, type: map_at_100
value: 41.309000000000005
verified: no, type: map_at_1000
value: 41.409
verified: no, type: map_at_3
value: 36.047000000000004
verified: no, type: map_at_5
value: 38.104
verified: no, type: mrr_at_1
value: 34.703
verified: no, type: mrr_at_10
value: 44.773
verified: no, type: mrr_at_100
value: 45.64
verified: no, type: mrr_at_1000
value: 45.678999999999995
verified: no, type: mrr_at_3
value: 41.705
verified: no, type: mrr_at_5
value: 43.406
verified: no, type: ndcg_at_1
value: 34.703
verified: no, type: ndcg_at_10
value: 46.271
verified: no, type: ndcg_at_100
value: 52.037
verified: no, type: ndcg_at_1000
value: 53.81700000000001
verified: no, type: ndcg_at_3
value: 39.966
verified: no, type: ndcg_at_5
value: 42.801
verified: no, type: precision_at_1
value: 34.703
verified: no, type: precision_at_10
value: 8.744
verified: no, type: precision_at_100
value: 1.348
verified: no, type: precision_at_1000
value: 0.167
verified: no, type: precision_at_3
value: 19.102
verified: no, type: precision_at_5
value: 13.836
verified: no, type: recall_at_1
value: 28.397
verified: no, type: recall_at_10
value: 60.299
verified: no, type: recall_at_100
value: 84.595
verified: no, type: recall_at_1000
value: 96.155
verified: no, type: recall_at_3
value: 43.065
verified: no, type: recall_at_5
value: 50.371
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackRetrieval
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 28.044333333333338
verified: no, type: map_at_10
value: 38.78691666666666
verified: no, type: map_at_100
value: 40.113
verified: no, type: map_at_1000
value: 40.22125
verified: no, type: map_at_3
value: 35.52966666666667
verified: no, type: map_at_5
value: 37.372749999999996
verified: no, type: mrr_at_1
value: 33.159083333333335
verified: no, type: mrr_at_10
value: 42.913583333333335
verified: no, type: mrr_at_100
value: 43.7845
verified: no, type: mrr_at_1000
value: 43.830333333333336
verified: no, type: mrr_at_3
value: 40.29816666666667
verified: no, type: mrr_at_5
value: 41.81366666666667
verified: no, type: ndcg_at_1
value: 33.159083333333335
verified: no, type: ndcg_at_10
value: 44.75750000000001
verified: no, type: ndcg_at_100
value: 50.13658333333334
verified: no, type: ndcg_at_1000
value: 52.037
verified: no, type: ndcg_at_3
value: 39.34258333333334
verified: no, type: ndcg_at_5
value: 41.93708333333333
verified: no, type: precision_at_1
value: 33.159083333333335
verified: no, type: precision_at_10
value: 7.952416666666667
verified: no, type: precision_at_100
value: 1.2571666666666668
verified: no, type: precision_at_1000
value: 0.16099999999999998
verified: no, type: precision_at_3
value: 18.303833333333337
verified: no, type: precision_at_5
value: 13.057083333333333
verified: no, type: recall_at_1
value: 28.044333333333338
verified: no, type: recall_at_10
value: 58.237249999999996
verified: no, type: recall_at_100
value: 81.35391666666666
verified: no, type: recall_at_1000
value: 94.21283333333334
verified: no, type: recall_at_3
value: 43.32341666666667
verified: no, type: recall_at_5
value: 49.94908333333333
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackStatsRetrieval
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 27.838
verified: no, type: map_at_10
value: 36.04
verified: no, type: map_at_100
value: 37.113
verified: no, type: map_at_1000
value: 37.204
verified: no, type: map_at_3
value: 33.585
verified: no, type: map_at_5
value: 34.845
verified: no, type: mrr_at_1
value: 30.982
verified: no, type: mrr_at_10
value: 39.105000000000004
verified: no, type: mrr_at_100
value: 39.98
verified: no, type: mrr_at_1000
value: 40.042
verified: no, type: mrr_at_3
value: 36.912
verified: no, type: mrr_at_5
value: 38.062000000000005
verified: no, type: ndcg_at_1
value: 30.982
verified: no, type: ndcg_at_10
value: 40.982
verified: no, type: ndcg_at_100
value: 46.092
verified: no, type: ndcg_at_1000
value: 48.25
verified: no, type: ndcg_at_3
value: 36.41
verified: no, type: ndcg_at_5
value: 38.379999999999995
verified: no, type: precision_at_1
value: 30.982
verified: no, type: precision_at_10
value: 6.534
verified: no, type: precision_at_100
value: 0.9820000000000001
verified: no, type: precision_at_1000
value: 0.124
verified: no, type: precision_at_3
value: 15.745999999999999
verified: no, type: precision_at_5
value: 10.828
verified: no, type: recall_at_1
value: 27.838
verified: no, type: recall_at_10
value: 52.971000000000004
verified: no, type: recall_at_100
value: 76.357
verified: no, type: recall_at_1000
value: 91.973
verified: no, type: recall_at_3
value: 40.157
verified: no, type: recall_at_5
value: 45.147999999999996
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackTexRetrieval
revision: 46989137a86843e03a6195de44b09deda022eec7
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 19.059
verified: no, type: map_at_10
value: 27.454
verified: no, type: map_at_100
value: 28.736
verified: no, type: map_at_1000
value: 28.865000000000002
verified: no, type: map_at_3
value: 24.773999999999997
verified: no, type: map_at_5
value: 26.266000000000002
verified: no, type: mrr_at_1
value: 23.125
verified: no, type: mrr_at_10
value: 31.267
verified: no, type: mrr_at_100
value: 32.32
verified: no, type: mrr_at_1000
value: 32.394
verified: no, type: mrr_at_3
value: 28.894
verified: no, type: mrr_at_5
value: 30.281000000000002
verified: no, type: ndcg_at_1
value: 23.125
verified: no, type: ndcg_at_10
value: 32.588
verified: no, type: ndcg_at_100
value: 38.432
verified: no, type: ndcg_at_1000
value: 41.214
verified: no, type: ndcg_at_3
value: 27.938000000000002
verified: no, type: ndcg_at_5
value: 30.127
verified: no, type: precision_at_1
value: 23.125
verified: no, type: precision_at_10
value: 5.9639999999999995
verified: no, type: precision_at_100
value: 1.047
verified: no, type: precision_at_1000
value: 0.148
verified: no, type: precision_at_3
value: 13.294
verified: no, type: precision_at_5
value: 9.628
verified: no, type: recall_at_1
value: 19.059
verified: no, type: recall_at_10
value: 44.25
verified: no, type: recall_at_100
value: 69.948
verified: no, type: recall_at_1000
value: 89.35300000000001
verified: no, type: recall_at_3
value: 31.114000000000004
verified: no, type: recall_at_5
value: 36.846000000000004
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackUnixRetrieval
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 28.355999999999998
verified: no, type: map_at_10
value: 39.055
verified: no, type: map_at_100
value: 40.486
verified: no, type: map_at_1000
value: 40.571
verified: no, type: map_at_3
value: 35.69
verified: no, type: map_at_5
value: 37.605
verified: no, type: mrr_at_1
value: 33.302
verified: no, type: mrr_at_10
value: 42.986000000000004
verified: no, type: mrr_at_100
value: 43.957
verified: no, type: mrr_at_1000
value: 43.996
verified: no, type: mrr_at_3
value: 40.111999999999995
verified: no, type: mrr_at_5
value: 41.735
verified: no, type: ndcg_at_1
value: 33.302
verified: no, type: ndcg_at_10
value: 44.962999999999994
verified: no, type: ndcg_at_100
value: 50.917
verified: no, type: ndcg_at_1000
value: 52.622
verified: no, type: ndcg_at_3
value: 39.182
verified: no, type: ndcg_at_5
value: 41.939
verified: no, type: precision_at_1
value: 33.302
verified: no, type: precision_at_10
value: 7.779999999999999
verified: no, type: precision_at_100
value: 1.203
verified: no, type: precision_at_1000
value: 0.145
verified: no, type: precision_at_3
value: 18.035
verified: no, type: precision_at_5
value: 12.873000000000001
verified: no, type: recall_at_1
value: 28.355999999999998
verified: no, type: recall_at_10
value: 58.782000000000004
verified: no, type: recall_at_100
value: 84.02199999999999
verified: no, type: recall_at_1000
value: 95.511
verified: no, type: recall_at_3
value: 43.126999999999995
verified: no, type: recall_at_5
value: 50.14999999999999
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackWebmastersRetrieval
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 27.391
verified: no, type: map_at_10
value: 37.523
verified: no, type: map_at_100
value: 39.312000000000005
verified: no, type: map_at_1000
value: 39.54
verified: no, type: map_at_3
value: 34.231
verified: no, type: map_at_5
value: 36.062
verified: no, type: mrr_at_1
value: 32.016
verified: no, type: mrr_at_10
value: 41.747
verified: no, type: mrr_at_100
value: 42.812
verified: no, type: mrr_at_1000
value: 42.844
verified: no, type: mrr_at_3
value: 39.129999999999995
verified: no, type: mrr_at_5
value: 40.524
verified: no, type: ndcg_at_1
value: 32.016
verified: no, type: ndcg_at_10
value: 43.826
verified: no, type: ndcg_at_100
value: 50.373999999999995
verified: no, type: ndcg_at_1000
value: 52.318
verified: no, type: ndcg_at_3
value: 38.479
verified: no, type: ndcg_at_5
value: 40.944
verified: no, type: precision_at_1
value: 32.016
verified: no, type: precision_at_10
value: 8.280999999999999
verified: no, type: precision_at_100
value: 1.6760000000000002
verified: no, type: precision_at_1000
value: 0.25
verified: no, type: precision_at_3
value: 18.05
verified: no, type: precision_at_5
value: 13.083
verified: no, type: recall_at_1
value: 27.391
verified: no, type: recall_at_10
value: 56.928999999999995
verified: no, type: recall_at_100
value: 85.169
verified: no, type: recall_at_1000
value: 96.665
verified: no, type: recall_at_3
value: 42.264
verified: no, type: recall_at_5
value: 48.556
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackWordpressRetrieval
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
split: test
type: BeIR/cqadupstack
metrics: type: map_at_1
value: 18.398
verified: no, type: map_at_10
value: 27.929
verified: no, type: map_at_100
value: 29.032999999999998
verified: no, type: map_at_1000
value: 29.126
verified: no, type: map_at_3
value: 25.070999999999998
verified: no, type: map_at_5
value: 26.583000000000002
verified: no, type: mrr_at_1
value: 19.963
verified: no, type: mrr_at_10
value: 29.997
verified: no, type: mrr_at_100
value: 30.9
verified: no, type: mrr_at_1000
value: 30.972
verified: no, type: mrr_at_3
value: 27.264
verified: no, type: mrr_at_5
value: 28.826
verified: no, type: ndcg_at_1
value: 19.963
verified: no, type: ndcg_at_10
value: 33.678999999999995
verified: no, type: ndcg_at_100
value: 38.931
verified: no, type: ndcg_at_1000
value: 41.379
verified: no, type: ndcg_at_3
value: 28.000000000000004
verified: no, type: ndcg_at_5
value: 30.637999999999998
verified: no, type: precision_at_1
value: 19.963
verified: no, type: precision_at_10
value: 5.7299999999999995
verified: no, type: precision_at_100
value: 0.902
verified: no, type: precision_at_1000
value: 0.122
verified: no, type: precision_at_3
value: 12.631
verified: no, type: precision_at_5
value: 9.057
verified: no, type: recall_at_1
value: 18.398
verified: no, type: recall_at_10
value: 49.254
verified: no, type: recall_at_100
value: 73.182
verified: no, type: recall_at_1000
value: 91.637
verified: no, type: recall_at_3
value: 34.06
verified: no, type: recall_at_5
value: 40.416000000000004
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ClimateFEVER
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
split: test
type: mteb/climate-fever
metrics: type: map_at_1
value: 19.681
verified: no, type: map_at_10
value: 32.741
verified: no, type: map_at_100
value: 34.811
verified: no, type: map_at_1000
value: 35.003
verified: no, type: map_at_3
value: 27.697
verified: no, type: map_at_5
value: 30.372
verified: no, type: mrr_at_1
value: 44.951
verified: no, type: mrr_at_10
value: 56.34400000000001
verified: no, type: mrr_at_100
value: 56.961
verified: no, type: mrr_at_1000
value: 56.987
verified: no, type: mrr_at_3
value: 53.681
verified: no, type: mrr_at_5
value: 55.407
verified: no, type: ndcg_at_1
value: 44.951
verified: no, type: ndcg_at_10
value: 42.905
verified: no, type: ndcg_at_100
value: 49.95
verified: no, type: ndcg_at_1000
value: 52.917
verified: no, type: ndcg_at_3
value: 36.815
verified: no, type: ndcg_at_5
value: 38.817
verified: no, type: precision_at_1
value: 44.951
verified: no, type: precision_at_10
value: 12.989999999999998
verified: no, type: precision_at_100
value: 2.068
verified: no, type: precision_at_1000
value: 0.263
verified: no, type: precision_at_3
value: 27.275
verified: no, type: precision_at_5
value: 20.365
verified: no, type: recall_at_1
value: 19.681
verified: no, type: recall_at_10
value: 48.272999999999996
verified: no, type: recall_at_100
value: 71.87400000000001
verified: no, type: recall_at_1000
value: 87.929
verified: no, type: recall_at_3
value: 32.653999999999996
verified: no, type: recall_at_5
value: 39.364
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB DBPedia
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659
split: test
type: mteb/dbpedia
metrics: type: map_at_1
value: 10.231
verified: no, type: map_at_10
value: 22.338
verified: no, type: map_at_100
value: 31.927
verified: no, type: map_at_1000
value: 33.87
verified: no, type: map_at_3
value: 15.559999999999999
verified: no, type: map_at_5
value: 18.239
verified: no, type: mrr_at_1
value: 75
verified: no, type: mrr_at_10
value: 81.303
verified: no, type: mrr_at_100
value: 81.523
verified: no, type: mrr_at_1000
value: 81.53
verified: no, type: mrr_at_3
value: 80.083
verified: no, type: mrr_at_5
value: 80.758
verified: no, type: ndcg_at_1
value: 64.625
verified: no, type: ndcg_at_10
value: 48.687000000000005
verified: no, type: ndcg_at_100
value: 52.791
verified: no, type: ndcg_at_1000
value: 60.041999999999994
verified: no, type: ndcg_at_3
value: 53.757999999999996
verified: no, type: ndcg_at_5
value: 50.76500000000001
verified: no, type: precision_at_1
value: 75
verified: no, type: precision_at_10
value: 38.3
verified: no, type: precision_at_100
value: 12.025
verified: no, type: precision_at_1000
value: 2.3970000000000002
verified: no, type: precision_at_3
value: 55.417
verified: no, type: precision_at_5
value: 47.5
verified: no, type: recall_at_1
value: 10.231
verified: no, type: recall_at_10
value: 27.697
verified: no, type: recall_at_100
value: 57.409
verified: no, type: recall_at_1000
value: 80.547
verified: no, type: recall_at_3
value: 16.668
verified: no, type: recall_at_5
value: 20.552
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB EmotionClassification
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
split: test
type: mteb/emotion
metrics: type: accuracy
value: 61.365
verified: no, type: f1
value: 56.7540827912991
verified: no
task: type: Classification, dataset: config: default
name: MTEB FEVER
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
split: test
type: mteb/fever
metrics: type: map_at_1
value: 83.479
verified: no, type: map_at_10
value: 88.898
verified: no, type: map_at_100
value: 89.11
verified: no, type: map_at_1000
value: 89.12400000000001
verified: no, type: map_at_3
value: 88.103
verified: no, type: map_at_5
value: 88.629
verified: no, type: mrr_at_1
value: 89.934
verified: no, type: mrr_at_10
value: 93.91000000000001
verified: no, type: mrr_at_100
value: 93.937
verified: no, type: mrr_at_1000
value: 93.938
verified: no, type: mrr_at_3
value: 93.62700000000001
verified: no, type: mrr_at_5
value: 93.84599999999999
verified: no, type: ndcg_at_1
value: 89.934
verified: no, type: ndcg_at_10
value: 91.574
verified: no, type: ndcg_at_100
value: 92.238
verified: no, type: ndcg_at_1000
value: 92.45
verified: no, type: ndcg_at_3
value: 90.586
verified: no, type: ndcg_at_5
value: 91.16300000000001
verified: no, type: precision_at_1
value: 89.934
verified: no, type: precision_at_10
value: 10.555
verified: no, type: precision_at_100
value: 1.1159999999999999
verified: no, type: precision_at_1000
value: 0.11499999999999999
verified: no, type: precision_at_3
value: 33.588
verified: no, type: precision_at_5
value: 20.642
verified: no, type: recall_at_1
value: 83.479
verified: no, type: recall_at_10
value: 94.971
verified: no, type: recall_at_100
value: 97.397
verified: no, type: recall_at_1000
value: 98.666
verified: no, type: recall_at_3
value: 92.24799999999999
verified: no, type: recall_at_5
value: 93.797
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB FiQA2018
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
split: test
type: mteb/fiqa
metrics: type: map_at_1
value: 27.16
verified: no, type: map_at_10
value: 45.593
verified: no, type: map_at_100
value: 47.762
verified: no, type: map_at_1000
value: 47.899
verified: no, type: map_at_3
value: 39.237
verified: no, type: map_at_5
value: 42.970000000000006
verified: no, type: mrr_at_1
value: 52.623
verified: no, type: mrr_at_10
value: 62.637
verified: no, type: mrr_at_100
value: 63.169
verified: no, type: mrr_at_1000
value: 63.185
verified: no, type: mrr_at_3
value: 59.928000000000004
verified: no, type: mrr_at_5
value: 61.702999999999996
verified: no, type: ndcg_at_1
value: 52.623
verified: no, type: ndcg_at_10
value: 54.701
verified: no, type: ndcg_at_100
value: 61.263
verified: no, type: ndcg_at_1000
value: 63.134
verified: no, type: ndcg_at_3
value: 49.265
verified: no, type: ndcg_at_5
value: 51.665000000000006
verified: no, type: precision_at_1
value: 52.623
verified: no, type: precision_at_10
value: 15.185
verified: no, type: precision_at_100
value: 2.202
verified: no, type: precision_at_1000
value: 0.254
verified: no, type: precision_at_3
value: 32.767
verified: no, type: precision_at_5
value: 24.722
verified: no, type: recall_at_1
value: 27.16
verified: no, type: recall_at_10
value: 63.309000000000005
verified: no, type: recall_at_100
value: 86.722
verified: no, type: recall_at_1000
value: 97.505
verified: no, type: recall_at_3
value: 45.045
verified: no, type: recall_at_5
value: 54.02400000000001
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB HotpotQA
revision: ab518f4d6fcca38d87c25209f94beba119d02014
split: test
type: mteb/hotpotqa
metrics: type: map_at_1
value: 42.573
verified: no, type: map_at_10
value: 59.373
verified: no, type: map_at_100
value: 60.292
verified: no, type: map_at_1000
value: 60.358999999999995
verified: no, type: map_at_3
value: 56.159000000000006
verified: no, type: map_at_5
value: 58.123999999999995
verified: no, type: mrr_at_1
value: 85.14500000000001
verified: no, type: mrr_at_10
value: 89.25999999999999
verified: no, type: mrr_at_100
value: 89.373
verified: no, type: mrr_at_1000
value: 89.377
verified: no, type: mrr_at_3
value: 88.618
verified: no, type: mrr_at_5
value: 89.036
verified: no, type: ndcg_at_1
value: 85.14500000000001
verified: no, type: ndcg_at_10
value: 68.95
verified: no, type: ndcg_at_100
value: 71.95
verified: no, type: ndcg_at_1000
value: 73.232
verified: no, type: ndcg_at_3
value: 64.546
verified: no, type: ndcg_at_5
value: 66.945
verified: no, type: precision_at_1
value: 85.14500000000001
verified: no, type: precision_at_10
value: 13.865
verified: no, type: precision_at_100
value: 1.619
verified: no, type: precision_at_1000
value: 0.179
verified: no, type: precision_at_3
value: 39.703
verified: no, type: precision_at_5
value: 25.718000000000004
verified: no, type: recall_at_1
value: 42.573
verified: no, type: recall_at_10
value: 69.325
verified: no, type: recall_at_100
value: 80.932
verified: no, type: recall_at_1000
value: 89.446
verified: no, type: recall_at_3
value: 59.553999999999995
verified: no, type: recall_at_5
value: 64.294
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ImdbClassification
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
split: test
type: mteb/imdb
metrics: type: accuracy
value: 95.8336
verified: no, type: ap
value: 93.78862962194073
verified: no, type: f1
value: 95.83192650728371
verified: no
task: type: Classification, dataset: config: default
name: MTEB MSMARCO
revision: c5a29a104738b98a9e76336939199e264163d4a0
split: dev
type: mteb/msmarco
metrics: type: map_at_1
value: 23.075000000000003
verified: no, type: map_at_10
value: 36.102000000000004
verified: no, type: map_at_100
value: 37.257
verified: no, type: map_at_1000
value: 37.3
verified: no, type: map_at_3
value: 32.144
verified: no, type: map_at_5
value: 34.359
verified: no, type: mrr_at_1
value: 23.711
verified: no, type: mrr_at_10
value: 36.671
verified: no, type: mrr_at_100
value: 37.763999999999996
verified: no, type: mrr_at_1000
value: 37.801
verified: no, type: mrr_at_3
value: 32.775
verified: no, type: mrr_at_5
value: 34.977000000000004
verified: no, type: ndcg_at_1
value: 23.711
verified: no, type: ndcg_at_10
value: 43.361
verified: no, type: ndcg_at_100
value: 48.839
verified: no, type: ndcg_at_1000
value: 49.88
verified: no, type: ndcg_at_3
value: 35.269
verified: no, type: ndcg_at_5
value: 39.224
verified: no, type: precision_at_1
value: 23.711
verified: no, type: precision_at_10
value: 6.866999999999999
verified: no, type: precision_at_100
value: 0.96
verified: no, type: precision_at_1000
value: 0.105
verified: no, type: precision_at_3
value: 15.096000000000002
verified: no, type: precision_at_5
value: 11.083
verified: no, type: recall_at_1
value: 23.075000000000003
verified: no, type: recall_at_10
value: 65.756
verified: no, type: recall_at_100
value: 90.88199999999999
verified: no, type: recall_at_1000
value: 98.739
verified: no, type: recall_at_3
value: 43.691
verified: no, type: recall_at_5
value: 53.15800000000001
verified: no
task: type: Retrieval, dataset: config: en
name: MTEB MTOPDomainClassification (en)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
value: 97.69493844049248
verified: no, type: f1
value: 97.55048089616261
verified: no
task: type: Classification, dataset: config: en
name: MTEB MTOPIntentClassification (en)
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
split: test
type: mteb/mtop_intent
metrics: type: accuracy
value: 88.75968992248062
verified: no, type: f1
value: 72.26321223399123
verified: no
task: type: Classification, dataset: config: en
name: MTEB MassiveIntentClassification (en)
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 82.40080699394754
verified: no, type: f1
value: 79.62590029057968
verified: no
task: type: Classification, dataset: config: en
name: MTEB MassiveScenarioClassification (en)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 84.49562878278414
verified: no, type: f1
value: 84.0040193313333
verified: no
task: type: Classification, dataset: config: default
name: MTEB MedrxivClusteringP2P
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
split: test
type: mteb/medrxiv-clustering-p2p
metrics: type: v_measure
value: 39.386760057101945
verified: no
task: type: Clustering, dataset: config: default
name: MTEB MedrxivClusteringS2S
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
split: test
type: mteb/medrxiv-clustering-s2s
metrics: type: v_measure
value: 37.89687154075537
verified: no
task: type: Clustering, dataset: config: default
name: MTEB MindSmallReranking
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
split: test
type: mteb/mind_small
metrics: type: map
value: 33.94151656057482
verified: no, type: mrr
value: 35.32684700746953
verified: no
task: type: Reranking, dataset: config: default
name: MTEB NFCorpus
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
split: test
type: mteb/nfcorpus
metrics: type: map_at_1
value: 6.239999999999999
verified: no, type: map_at_10
value: 14.862
verified: no, type: map_at_100
value: 18.955
verified: no, type: map_at_1000
value: 20.694000000000003
verified: no, type: map_at_3
value: 10.683
verified: no, type: map_at_5
value: 12.674
verified: no, type: mrr_at_1
value: 50.15500000000001
verified: no, type: mrr_at_10
value: 59.697
verified: no, type: mrr_at_100
value: 60.095
verified: no, type: mrr_at_1000
value: 60.129999999999995
verified: no, type: mrr_at_3
value: 58.35900000000001
verified: no, type: mrr_at_5
value: 58.839
verified: no, type: ndcg_at_1
value: 48.452
verified: no, type: ndcg_at_10
value: 39.341
verified: no, type: ndcg_at_100
value: 35.866
verified: no, type: ndcg_at_1000
value: 45.111000000000004
verified: no, type: ndcg_at_3
value: 44.527
verified: no, type: ndcg_at_5
value: 42.946
verified: no, type: precision_at_1
value: 50.15500000000001
verified: no, type: precision_at_10
value: 29.536
verified: no, type: precision_at_100
value: 9.142
verified: no, type: precision_at_1000
value: 2.2849999999999997
verified: no, type: precision_at_3
value: 41.899
verified: no, type: precision_at_5
value: 37.647000000000006
verified: no, type: recall_at_1
value: 6.239999999999999
verified: no, type: recall_at_10
value: 19.278000000000002
verified: no, type: recall_at_100
value: 36.074
verified: no, type: recall_at_1000
value: 70.017
verified: no, type: recall_at_3
value: 12.066
verified: no, type: recall_at_5
value: 15.254000000000001
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB NQ
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
split: test
type: mteb/nq
metrics: type: map_at_1
value: 39.75
verified: no, type: map_at_10
value: 56.443
verified: no, type: map_at_100
value: 57.233999999999995
verified: no, type: map_at_1000
value: 57.249
verified: no, type: map_at_3
value: 52.032999999999994
verified: no, type: map_at_5
value: 54.937999999999995
verified: no, type: mrr_at_1
value: 44.728
verified: no, type: mrr_at_10
value: 58.939
verified: no, type: mrr_at_100
value: 59.489000000000004
verified: no, type: mrr_at_1000
value: 59.499
verified: no, type: mrr_at_3
value: 55.711999999999996
verified: no, type: mrr_at_5
value: 57.89
verified: no, type: ndcg_at_1
value: 44.728
verified: no, type: ndcg_at_10
value: 63.998999999999995
verified: no, type: ndcg_at_100
value: 67.077
verified: no, type: ndcg_at_1000
value: 67.40899999999999
verified: no, type: ndcg_at_3
value: 56.266000000000005
verified: no, type: ndcg_at_5
value: 60.88
verified: no, type: precision_at_1
value: 44.728
verified: no, type: precision_at_10
value: 10.09
verified: no, type: precision_at_100
value: 1.1809999999999998
verified: no, type: precision_at_1000
value: 0.121
verified: no, type: precision_at_3
value: 25.145
verified: no, type: precision_at_5
value: 17.822
verified: no, type: recall_at_1
value: 39.75
verified: no, type: recall_at_10
value: 84.234
verified: no, type: recall_at_100
value: 97.055
verified: no, type: recall_at_1000
value: 99.517
verified: no, type: recall_at_3
value: 64.851
verified: no, type: recall_at_5
value: 75.343
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB QuoraRetrieval
revision: None
split: test
type: mteb/quora
metrics: type: map_at_1
value: 72.085
verified: no, type: map_at_10
value: 86.107
verified: no, type: map_at_100
value: 86.727
verified: no, type: map_at_1000
value: 86.74
verified: no, type: map_at_3
value: 83.21
verified: no, type: map_at_5
value: 85.06
verified: no, type: mrr_at_1
value: 82.94
verified: no, type: mrr_at_10
value: 88.845
verified: no, type: mrr_at_100
value: 88.926
verified: no, type: mrr_at_1000
value: 88.927
verified: no, type: mrr_at_3
value: 87.993
verified: no, type: mrr_at_5
value: 88.62299999999999
verified: no, type: ndcg_at_1
value: 82.97
verified: no, type: ndcg_at_10
value: 89.645
verified: no, type: ndcg_at_100
value: 90.717
verified: no, type: ndcg_at_1000
value: 90.78
verified: no, type: ndcg_at_3
value: 86.99900000000001
verified: no, type: ndcg_at_5
value: 88.52600000000001
verified: no, type: precision_at_1
value: 82.97
verified: no, type: precision_at_10
value: 13.569
verified: no, type: precision_at_100
value: 1.539
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_3
value: 38.043
verified: no, type: precision_at_5
value: 24.992
verified: no, type: recall_at_1
value: 72.085
verified: no, type: recall_at_10
value: 96.262
verified: no, type: recall_at_100
value: 99.77000000000001
verified: no, type: recall_at_1000
value: 99.997
verified: no, type: recall_at_3
value: 88.652
verified: no, type: recall_at_5
value: 93.01899999999999
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB RedditClustering
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
split: test
type: mteb/reddit-clustering
metrics: type: v_measure
value: 55.82153952668092
verified: no
task: type: Clustering, dataset: config: default
name: MTEB RedditClusteringP2P
revision: 282350215ef01743dc01b456c7f5241fa8937f16
split: test
type: mteb/reddit-clustering-p2p
metrics: type: v_measure
value: 62.094465801879295
verified: no
task: type: Clustering, dataset: config: default
name: MTEB SCIDOCS
revision: None
split: test
type: mteb/scidocs
metrics: type: map_at_1
value: 5.688
verified: no, type: map_at_10
value: 15.201999999999998
verified: no, type: map_at_100
value: 18.096
verified: no, type: map_at_1000
value: 18.481
verified: no, type: map_at_3
value: 10.734
verified: no, type: map_at_5
value: 12.94
verified: no, type: mrr_at_1
value: 28.000000000000004
verified: no, type: mrr_at_10
value: 41.101
verified: no, type: mrr_at_100
value: 42.202
verified: no, type: mrr_at_1000
value: 42.228
verified: no, type: mrr_at_3
value: 37.683
verified: no, type: mrr_at_5
value: 39.708
verified: no, type: ndcg_at_1
value: 28.000000000000004
verified: no, type: ndcg_at_10
value: 24.976000000000003
verified: no, type: ndcg_at_100
value: 35.129
verified: no, type: ndcg_at_1000
value: 40.77
verified: no, type: ndcg_at_3
value: 23.787
verified: no, type: ndcg_at_5
value: 20.816000000000003
verified: no, type: precision_at_1
value: 28.000000000000004
verified: no, type: precision_at_10
value: 13.04
verified: no, type: precision_at_100
value: 2.761
verified: no, type: precision_at_1000
value: 0.41000000000000003
verified: no, type: precision_at_3
value: 22.6
verified: no, type: precision_at_5
value: 18.52
verified: no, type: recall_at_1
value: 5.688
verified: no, type: recall_at_10
value: 26.43
verified: no, type: recall_at_100
value: 56.02
verified: no, type: recall_at_1000
value: 83.21
verified: no, type: recall_at_3
value: 13.752
verified: no, type: recall_at_5
value: 18.777
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SICK-R
revision: a6ea5a8cab320b040a23452cc28066d9beae2cee
split: test
type: mteb/sickr-sts
metrics: type: cos_sim_pearson
value: 85.15084859283178
verified: no, type: cos_sim_spearman
value: 80.49030614009419
verified: no, type: euclidean_pearson
value: 81.84574978672468
verified: no, type: euclidean_spearman
value: 79.89787150656818
verified: no, type: manhattan_pearson
value: 81.63076538567131
verified: no, type: manhattan_spearman
value: 79.69867352121841
verified: no
task: type: STS, dataset: config: default
name: MTEB STS12
revision: a0d554a64d88156834ff5ae9920b964011b16384
split: test
type: mteb/sts12-sts
metrics: type: cos_sim_pearson
value: 84.64097921490992
verified: no, type: cos_sim_spearman
value: 77.25370084896514
verified: no, type: euclidean_pearson
value: 82.71210826468788
verified: no, type: euclidean_spearman
value: 78.50445584994826
verified: no, type: manhattan_pearson
value: 82.92580164330298
verified: no, type: manhattan_spearman
value: 78.69686891301019
verified: no
task: type: STS, dataset: config: default
name: MTEB STS13
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
split: test
type: mteb/sts13-sts
metrics: type: cos_sim_pearson
value: 87.24596417308994
verified: no, type: cos_sim_spearman
value: 87.79454220555091
verified: no, type: euclidean_pearson
value: 87.40242561671164
verified: no, type: euclidean_spearman
value: 88.25955597373556
verified: no, type: manhattan_pearson
value: 87.25160240485849
verified: no, type: manhattan_spearman
value: 88.155794979818
verified: no
task: type: STS, dataset: config: default
name: MTEB STS14
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
split: test
type: mteb/sts14-sts
metrics: type: cos_sim_pearson
value: 84.44914233422564
verified: no, type: cos_sim_spearman
value: 82.91015471820322
verified: no, type: euclidean_pearson
value: 84.7206656630327
verified: no, type: euclidean_spearman
value: 83.86408872059216
verified: no, type: manhattan_pearson
value: 84.72816725158454
verified: no, type: manhattan_spearman
value: 84.01603388572788
verified: no
task: type: STS, dataset: config: default
name: MTEB STS15
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
split: test
type: mteb/sts15-sts
metrics: type: cos_sim_pearson
value: 87.6168026237477
verified: no, type: cos_sim_spearman
value: 88.45414278092397
verified: no, type: euclidean_pearson
value: 88.57023240882022
verified: no, type: euclidean_spearman
value: 89.04102190922094
verified: no, type: manhattan_pearson
value: 88.66695535796354
verified: no, type: manhattan_spearman
value: 89.19898476680969
verified: no
task: type: STS, dataset: config: default
name: MTEB STS16
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
split: test
type: mteb/sts16-sts
metrics: type: cos_sim_pearson
value: 84.27925826089424
verified: no, type: cos_sim_spearman
value: 85.45291099550461
verified: no, type: euclidean_pearson
value: 83.63853036580834
verified: no, type: euclidean_spearman
value: 84.33468035821484
verified: no, type: manhattan_pearson
value: 83.72778773251596
verified: no, type: manhattan_spearman
value: 84.51583132445376
verified: no
task: type: STS, dataset: config: en-en
name: MTEB STS17 (en-en)
revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cos_sim_pearson
value: 89.67375185692552
verified: no, type: cos_sim_spearman
value: 90.32542469203855
verified: no, type: euclidean_pearson
value: 89.63513717951847
verified: no, type: euclidean_spearman
value: 89.87760271003745
verified: no, type: manhattan_pearson
value: 89.28381452982924
verified: no, type: manhattan_spearman
value: 89.53568197785721
verified: no
task: type: STS, dataset: config: en
name: MTEB STS22 (en)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_pearson
value: 66.24644693819846
verified: no, type: cos_sim_spearman
value: 66.09889420525377
verified: no, type: euclidean_pearson
value: 63.72551583520747
verified: no, type: euclidean_spearman
value: 63.01385470780679
verified: no, type: manhattan_pearson
value: 64.09258157214097
verified: no, type: manhattan_spearman
value: 63.080517752822594
verified: no
task: type: STS, dataset: config: default
name: MTEB STSBenchmark
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
split: test
type: mteb/stsbenchmark-sts
metrics: type: cos_sim_pearson
value: 86.27321463839989
verified: no, type: cos_sim_spearman
value: 86.37572865993327
verified: no, type: euclidean_pearson
value: 86.36268020198149
verified: no, type: euclidean_spearman
value: 86.31089339478922
verified: no, type: manhattan_pearson
value: 86.4260445761947
verified: no, type: manhattan_spearman
value: 86.45885895320457
verified: no
task: type: STS, dataset: config: default
name: MTEB SciDocsRR
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
split: test
type: mteb/scidocs-reranking
metrics: type: map
value: 86.52456702387798
verified: no, type: mrr
value: 96.34556529164372
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SciFact
revision: 0228b52cf27578f30900b9e5271d331663a030d7
split: test
type: mteb/scifact
metrics: type: map_at_1
value: 61.99400000000001
verified: no, type: map_at_10
value: 73.38799999999999
verified: no, type: map_at_100
value: 73.747
verified: no, type: map_at_1000
value: 73.75
verified: no, type: map_at_3
value: 70.04599999999999
verified: no, type: map_at_5
value: 72.095
verified: no, type: mrr_at_1
value: 65
verified: no, type: mrr_at_10
value: 74.42800000000001
verified: no, type: mrr_at_100
value: 74.722
verified: no, type: mrr_at_1000
value: 74.725
verified: no, type: mrr_at_3
value: 72.056
verified: no, type: mrr_at_5
value: 73.60600000000001
verified: no, type: ndcg_at_1
value: 65
verified: no, type: ndcg_at_10
value: 78.435
verified: no, type: ndcg_at_100
value: 79.922
verified: no, type: ndcg_at_1000
value: 80.00500000000001
verified: no, type: ndcg_at_3
value: 73.05199999999999
verified: no, type: ndcg_at_5
value: 75.98
verified: no, type: precision_at_1
value: 65
verified: no, type: precision_at_10
value: 10.5
verified: no, type: precision_at_100
value: 1.123
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 28.555999999999997
verified: no, type: precision_at_5
value: 19
verified: no, type: recall_at_1
value: 61.99400000000001
verified: no, type: recall_at_10
value: 92.72200000000001
verified: no, type: recall_at_100
value: 99.333
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 78.739
verified: no, type: recall_at_5
value: 85.828
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SprintDuplicateQuestions
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
split: test
type: mteb/sprintduplicatequestions-pairclassification
metrics: type: cos_sim_accuracy
value: 99.79009900990098
verified: no, type: cos_sim_ap
value: 95.3203137438653
verified: no, type: cos_sim_f1
value: 89.12386706948641
verified: no, type: cos_sim_precision
value: 89.75659229208925
verified: no, type: cos_sim_recall
value: 88.5
verified: no, type: dot_accuracy
value: 99.67821782178218
verified: no, type: dot_ap
value: 89.94069840000675
verified: no, type: dot_f1
value: 83.45902463549521
verified: no, type: dot_precision
value: 83.9231547017189
verified: no, type: dot_recall
value: 83
verified: no, type: euclidean_accuracy
value: 99.78613861386138
verified: no, type: euclidean_ap
value: 95.10648259135526
verified: no, type: euclidean_f1
value: 88.77338877338877
verified: no, type: euclidean_precision
value: 92.42424242424242
verified: no, type: euclidean_recall
value: 85.39999999999999
verified: no, type: manhattan_accuracy
value: 99.7950495049505
verified: no, type: manhattan_ap
value: 95.29987661320946
verified: no, type: manhattan_f1
value: 89.21313183949972
verified: no, type: manhattan_precision
value: 93.14472252448314
verified: no, type: manhattan_recall
value: 85.6
verified: no, type: max_accuracy
value: 99.7950495049505
verified: no, type: max_ap
value: 95.3203137438653
verified: no, type: max_f1
value: 89.21313183949972
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB StackExchangeClustering
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
split: test
type: mteb/stackexchange-clustering
metrics: type: v_measure
value: 67.65446577183913
verified: no
task: type: Clustering, dataset: config: default
name: MTEB StackExchangeClusteringP2P
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
split: test
type: mteb/stackexchange-clustering-p2p
metrics: type: v_measure
value: 46.30749237193961
verified: no
task: type: Clustering, dataset: config: default
name: MTEB StackOverflowDupQuestions
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
split: test
type: mteb/stackoverflowdupquestions-reranking
metrics: type: map
value: 54.91481849959949
verified: no, type: mrr
value: 55.853506175197346
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SummEval
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
split: test
type: mteb/summeval
metrics: type: cos_sim_pearson
value: 30.08196549170419
verified: no, type: cos_sim_spearman
value: 31.16661390597077
verified: no, type: dot_pearson
value: 29.892258410943466
verified: no, type: dot_spearman
value: 30.51328811965085
verified: no
task: type: Summarization, dataset: config: default
name: MTEB TRECCOVID
revision: None
split: test
type: mteb/trec-covid
metrics: type: map_at_1
value: 0.23900000000000002
verified: no, type: map_at_10
value: 2.173
verified: no, type: map_at_100
value: 14.24
verified: no, type: map_at_1000
value: 35.309000000000005
verified: no, type: map_at_3
value: 0.7100000000000001
verified: no, type: map_at_5
value: 1.163
verified: no, type: mrr_at_1
value: 92
verified: no, type: mrr_at_10
value: 96
verified: no, type: mrr_at_100
value: 96
verified: no, type: mrr_at_1000
value: 96
verified: no, type: mrr_at_3
value: 96
verified: no, type: mrr_at_5
value: 96
verified: no, type: ndcg_at_1
value: 90
verified: no, type: ndcg_at_10
value: 85.382
verified: no, type: ndcg_at_100
value: 68.03
verified: no, type: ndcg_at_1000
value: 61.021
verified: no, type: ndcg_at_3
value: 89.765
verified: no, type: ndcg_at_5
value: 88.444
verified: no, type: precision_at_1
value: 92
verified: no, type: precision_at_10
value: 88
verified: no, type: precision_at_100
value: 70.02000000000001
verified: no, type: precision_at_1000
value: 26.984
verified: no, type: precision_at_3
value: 94
verified: no, type: precision_at_5
value: 92.80000000000001
verified: no, type: recall_at_1
value: 0.23900000000000002
verified: no, type: recall_at_10
value: 2.313
verified: no, type: recall_at_100
value: 17.049
verified: no, type: recall_at_1000
value: 57.489999999999995
verified: no, type: recall_at_3
value: 0.737
verified: no, type: recall_at_5
value: 1.221
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB Touche2020
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
split: test
type: mteb/touche2020
metrics: type: map_at_1
value: 2.75
verified: no, type: map_at_10
value: 11.29
verified: no, type: map_at_100
value: 18.032999999999998
verified: no, type: map_at_1000
value: 19.746
verified: no, type: map_at_3
value: 6.555
verified: no, type: map_at_5
value: 8.706999999999999
verified: no, type: mrr_at_1
value: 34.694
verified: no, type: mrr_at_10
value: 50.55
verified: no, type: mrr_at_100
value: 51.659
verified: no, type: mrr_at_1000
value: 51.659
verified: no, type: mrr_at_3
value: 47.278999999999996
verified: no, type: mrr_at_5
value: 49.728
verified: no, type: ndcg_at_1
value: 32.653
verified: no, type: ndcg_at_10
value: 27.894000000000002
verified: no, type: ndcg_at_100
value: 39.769
verified: no, type: ndcg_at_1000
value: 51.495999999999995
verified: no, type: ndcg_at_3
value: 32.954
verified: no, type: ndcg_at_5
value: 31.502999999999997
verified: no, type: precision_at_1
value: 34.694
verified: no, type: precision_at_10
value: 23.265
verified: no, type: precision_at_100
value: 7.898
verified: no, type: precision_at_1000
value: 1.58
verified: no, type: precision_at_3
value: 34.694
verified: no, type: precision_at_5
value: 31.429000000000002
verified: no, type: recall_at_1
value: 2.75
verified: no, type: recall_at_10
value: 16.953
verified: no, type: recall_at_100
value: 48.68
verified: no, type: recall_at_1000
value: 85.18599999999999
verified: no, type: recall_at_3
value: 7.710999999999999
verified: no, type: recall_at_5
value: 11.484
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ToxicConversationsClassification
revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c
split: test
type: mteb/toxic_conversations_50k
metrics: type: accuracy
value: 82.66099999999999
verified: no, type: ap
value: 25.555698090238337
verified: no, type: f1
value: 66.48402012461622
verified: no
task: type: Classification, dataset: config: default
name: MTEB TweetSentimentExtractionClassification
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
split: test
type: mteb/tweet_sentiment_extraction
metrics: type: accuracy
value: 72.94567062818335
verified: no, type: f1
value: 73.28139189595674
verified: no
task: type: Classification, dataset: config: default
name: MTEB TwentyNewsgroupsClustering
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
split: test
type: mteb/twentynewsgroups-clustering
metrics: type: v_measure
value: 49.581627240203474
verified: no
task: type: Clustering, dataset: config: default
name: MTEB TwitterSemEval2015
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
split: test
type: mteb/twittersemeval2015-pairclassification
metrics: type: cos_sim_accuracy
value: 87.78089050485785
verified: no, type: cos_sim_ap
value: 79.64487116574168
verified: no, type: cos_sim_f1
value: 72.46563021970964
verified: no, type: cos_sim_precision
value: 70.62359128474831
verified: no, type: cos_sim_recall
value: 74.40633245382587
verified: no, type: dot_accuracy
value: 86.2609524944865
verified: no, type: dot_ap
value: 75.513046857613
verified: no, type: dot_f1
value: 68.58213616489695
verified: no, type: dot_precision
value: 65.12455516014235
verified: no, type: dot_recall
value: 72.42744063324538
verified: no, type: euclidean_accuracy
value: 87.6080348095607
verified: no, type: euclidean_ap
value: 79.00204933649795
verified: no, type: euclidean_f1
value: 72.14495342605589
verified: no, type: euclidean_precision
value: 69.85421299728193
verified: no, type: euclidean_recall
value: 74.5910290237467
verified: no, type: manhattan_accuracy
value: 87.59611372712642
verified: no, type: manhattan_ap
value: 78.78523756706264
verified: no, type: manhattan_f1
value: 71.86499137718648
verified: no, type: manhattan_precision
value: 67.39833641404806
verified: no, type: manhattan_recall
value: 76.96569920844327
verified: no, type: max_accuracy
value: 87.78089050485785
verified: no, type: max_ap
value: 79.64487116574168
verified: no, type: max_f1
value: 72.46563021970964
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB TwitterURLCorpus
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
split: test
type: mteb/twitterurlcorpus-pairclassification
metrics: type: cos_sim_accuracy
value: 89.98719292117825
verified: no, type: cos_sim_ap
value: 87.58146137353202
verified: no, type: cos_sim_f1
value: 80.28543232369239
verified: no, type: cos_sim_precision
value: 79.1735289714029
verified: no, type: cos_sim_recall
value: 81.42901139513397
verified: no, type: dot_accuracy
value: 88.9199363526992
verified: no, type: dot_ap
value: 84.98499998630417
verified: no, type: dot_f1
value: 78.21951400757969
verified: no, type: dot_precision
value: 75.58523624874336
verified: no, type: dot_recall
value: 81.04404065291038
verified: no, type: euclidean_accuracy
value: 89.77374160748244
verified: no, type: euclidean_ap
value: 87.35151562835209
verified: no, type: euclidean_f1
value: 79.92160922940393
verified: no, type: euclidean_precision
value: 76.88531587933979
verified: no, type: euclidean_recall
value: 83.20757622420696
verified: no, type: manhattan_accuracy
value: 89.72717041176699
verified: no, type: manhattan_ap
value: 87.34065592142515
verified: no, type: manhattan_f1
value: 79.85603419187943
verified: no, type: manhattan_precision
value: 77.82243332115455
verified: no, type: manhattan_recall
value: 81.99876809362489
verified: no, type: max_accuracy
value: 89.98719292117825
verified: no, type: max_ap
value: 87.58146137353202
verified: no, type: max_f1
value: 80.28543232369239
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB AFQMC
revision: b44c3b011063adb25877c13823db83bb193913c4
split: validation
type: C-MTEB/AFQMC
metrics: type: cos_sim_pearson
value: 53.45954203592337
verified: no, type: cos_sim_spearman
value: 58.42154680418638
verified: no, type: euclidean_pearson
value: 56.41543791722753
verified: no, type: euclidean_spearman
value: 58.39328016640146
verified: no, type: manhattan_pearson
value: 56.318510356833876
verified: no, type: manhattan_spearman
value: 58.28423447818184
verified: no
task: type: STS, dataset: config: default
name: MTEB ATEC
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
split: test
type: C-MTEB/ATEC
metrics: type: cos_sim_pearson
value: 50.78356460675945
verified: no, type: cos_sim_spearman
value: 55.6530411663269
verified: no, type: euclidean_pearson
value: 56.50763660417816
verified: no, type: euclidean_spearman
value: 55.733823335669065
verified: no, type: manhattan_pearson
value: 56.45323093512866
verified: no, type: manhattan_spearman
value: 55.63248619032702
verified: no
task: type: STS, dataset: config: zh
name: MTEB AmazonReviewsClassification (zh)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 47.209999999999994
verified: no, type: f1
value: 46.08892432018655
verified: no
task: type: Classification, dataset: config: default
name: MTEB BQ
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
split: test
type: C-MTEB/BQ
metrics: type: cos_sim_pearson
value: 70.25573992001478
verified: no, type: cos_sim_spearman
value: 73.85247134951433
verified: no, type: euclidean_pearson
value: 72.60033082168442
verified: no, type: euclidean_spearman
value: 73.72445893756499
verified: no, type: manhattan_pearson
value: 72.59932284620231
verified: no, type: manhattan_spearman
value: 73.68002490614583
verified: no
task: type: STS, dataset: config: default
name: MTEB CLSClusteringP2P
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
split: test
type: C-MTEB/CLSClusteringP2P
metrics: type: v_measure
value: 45.21317724305628
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CLSClusteringS2S
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
split: test
type: C-MTEB/CLSClusteringS2S
metrics: type: v_measure
value: 42.49825170976724
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CMedQAv1
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
split: test
type: C-MTEB/CMedQAv1-reranking
metrics: type: map
value: 88.15661686810597
verified: no, type: mrr
value: 90.11222222222223
verified: no
task: type: Reranking, dataset: config: default
name: MTEB CMedQAv2
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
split: test
type: C-MTEB/CMedQAv2-reranking
metrics: type: map
value: 88.1204726064383
verified: no, type: mrr
value: 90.20142857142858
verified: no
task: type: Reranking, dataset: config: default
name: MTEB CmedqaRetrieval
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
split: dev
type: C-MTEB/CmedqaRetrieval
metrics: type: map_at_1
value: 27.224999999999998
verified: no, type: map_at_10
value: 40.169
verified: no, type: map_at_100
value: 42
verified: no, type: map_at_1000
value: 42.109
verified: no, type: map_at_3
value: 35.76
verified: no, type: map_at_5
value: 38.221
verified: no, type: mrr_at_1
value: 40.56
verified: no, type: mrr_at_10
value: 49.118
verified: no, type: mrr_at_100
value: 50.092999999999996
verified: no, type: mrr_at_1000
value: 50.133
verified: no, type: mrr_at_3
value: 46.507
verified: no, type: mrr_at_5
value: 47.973
verified: no, type: ndcg_at_1
value: 40.56
verified: no, type: ndcg_at_10
value: 46.972
verified: no, type: ndcg_at_100
value: 54.04
verified: no, type: ndcg_at_1000
value: 55.862
verified: no, type: ndcg_at_3
value: 41.36
verified: no, type: ndcg_at_5
value: 43.704
verified: no, type: precision_at_1
value: 40.56
verified: no, type: precision_at_10
value: 10.302999999999999
verified: no, type: precision_at_100
value: 1.606
verified: no, type: precision_at_1000
value: 0.184
verified: no, type: precision_at_3
value: 23.064
verified: no, type: precision_at_5
value: 16.764000000000003
verified: no, type: recall_at_1
value: 27.224999999999998
verified: no, type: recall_at_10
value: 58.05200000000001
verified: no, type: recall_at_100
value: 87.092
verified: no, type: recall_at_1000
value: 99.099
verified: no, type: recall_at_3
value: 41.373
verified: no, type: recall_at_5
value: 48.453
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB Cmnli
revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
split: validation
type: C-MTEB/CMNLI
metrics: type: cos_sim_accuracy
value: 77.40228502705953
verified: no, type: cos_sim_ap
value: 86.22359172956327
verified: no, type: cos_sim_f1
value: 78.96328293736501
verified: no, type: cos_sim_precision
value: 73.36945615091311
verified: no, type: cos_sim_recall
value: 85.48047696983868
verified: no, type: dot_accuracy
value: 75.53818400481059
verified: no, type: dot_ap
value: 83.70164011305312
verified: no, type: dot_f1
value: 77.67298719348754
verified: no, type: dot_precision
value: 67.49482401656314
verified: no, type: dot_recall
value: 91.46598082768296
verified: no, type: euclidean_accuracy
value: 77.94347564642213
verified: no, type: euclidean_ap
value: 86.4652108728609
verified: no, type: euclidean_f1
value: 79.15555555555555
verified: no, type: euclidean_precision
value: 75.41816641964853
verified: no, type: euclidean_recall
value: 83.28267477203647
verified: no, type: manhattan_accuracy
value: 77.45039085989175
verified: no, type: manhattan_ap
value: 86.09986583900665
verified: no, type: manhattan_f1
value: 78.93669264438988
verified: no, type: manhattan_precision
value: 72.63261296660117
verified: no, type: manhattan_recall
value: 86.43909282207154
verified: no, type: max_accuracy
value: 77.94347564642213
verified: no, type: max_ap
value: 86.4652108728609
verified: no, type: max_f1
value: 79.15555555555555
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB CovidRetrieval
revision: 1271c7809071a13532e05f25fb53511ffce77117
split: dev
type: C-MTEB/CovidRetrieval
metrics: type: map_at_1
value: 69.336
verified: no, type: map_at_10
value: 77.16
verified: no, type: map_at_100
value: 77.47500000000001
verified: no, type: map_at_1000
value: 77.482
verified: no, type: map_at_3
value: 75.42999999999999
verified: no, type: map_at_5
value: 76.468
verified: no, type: mrr_at_1
value: 69.44200000000001
verified: no, type: mrr_at_10
value: 77.132
verified: no, type: mrr_at_100
value: 77.43299999999999
verified: no, type: mrr_at_1000
value: 77.44
verified: no, type: mrr_at_3
value: 75.395
verified: no, type: mrr_at_5
value: 76.459
verified: no, type: ndcg_at_1
value: 69.547
verified: no, type: ndcg_at_10
value: 80.794
verified: no, type: ndcg_at_100
value: 82.245
verified: no, type: ndcg_at_1000
value: 82.40899999999999
verified: no, type: ndcg_at_3
value: 77.303
verified: no, type: ndcg_at_5
value: 79.168
verified: no, type: precision_at_1
value: 69.547
verified: no, type: precision_at_10
value: 9.305
verified: no, type: precision_at_100
value: 0.9979999999999999
verified: no, type: precision_at_1000
value: 0.101
verified: no, type: precision_at_3
value: 27.749000000000002
verified: no, type: precision_at_5
value: 17.576
verified: no, type: recall_at_1
value: 69.336
verified: no, type: recall_at_10
value: 92.097
verified: no, type: recall_at_100
value: 98.736
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 82.64
verified: no, type: recall_at_5
value: 87.144
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB DuRetrieval
revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
split: dev
type: C-MTEB/DuRetrieval
metrics: type: map_at_1
value: 26.817999999999998
verified: no, type: map_at_10
value: 82.67
verified: no, type: map_at_100
value: 85.304
verified: no, type: map_at_1000
value: 85.334
verified: no, type: map_at_3
value: 57.336
verified: no, type: map_at_5
value: 72.474
verified: no, type: mrr_at_1
value: 91.45
verified: no, type: mrr_at_10
value: 94.272
verified: no, type: mrr_at_100
value: 94.318
verified: no, type: mrr_at_1000
value: 94.32000000000001
verified: no, type: mrr_at_3
value: 94
verified: no, type: mrr_at_5
value: 94.17699999999999
verified: no, type: ndcg_at_1
value: 91.45
verified: no, type: ndcg_at_10
value: 89.404
verified: no, type: ndcg_at_100
value: 91.724
verified: no, type: ndcg_at_1000
value: 91.973
verified: no, type: ndcg_at_3
value: 88.104
verified: no, type: ndcg_at_5
value: 87.25699999999999
verified: no, type: precision_at_1
value: 91.45
verified: no, type: precision_at_10
value: 42.585
verified: no, type: precision_at_100
value: 4.838
verified: no, type: precision_at_1000
value: 0.49
verified: no, type: precision_at_3
value: 78.8
verified: no, type: precision_at_5
value: 66.66
verified: no, type: recall_at_1
value: 26.817999999999998
verified: no, type: recall_at_10
value: 90.67
verified: no, type: recall_at_100
value: 98.36200000000001
verified: no, type: recall_at_1000
value: 99.583
verified: no, type: recall_at_3
value: 59.614999999999995
verified: no, type: recall_at_5
value: 77.05199999999999
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB EcomRetrieval
revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
split: dev
type: C-MTEB/EcomRetrieval
metrics: type: map_at_1
value: 47.699999999999996
verified: no, type: map_at_10
value: 57.589999999999996
verified: no, type: map_at_100
value: 58.226
verified: no, type: map_at_1000
value: 58.251
verified: no, type: map_at_3
value: 55.233
verified: no, type: map_at_5
value: 56.633
verified: no, type: mrr_at_1
value: 47.699999999999996
verified: no, type: mrr_at_10
value: 57.589999999999996
verified: no, type: mrr_at_100
value: 58.226
verified: no, type: mrr_at_1000
value: 58.251
verified: no, type: mrr_at_3
value: 55.233
verified: no, type: mrr_at_5
value: 56.633
verified: no, type: ndcg_at_1
value: 47.699999999999996
verified: no, type: ndcg_at_10
value: 62.505
verified: no, type: ndcg_at_100
value: 65.517
verified: no, type: ndcg_at_1000
value: 66.19800000000001
verified: no, type: ndcg_at_3
value: 57.643
verified: no, type: ndcg_at_5
value: 60.181
verified: no, type: precision_at_1
value: 47.699999999999996
verified: no, type: precision_at_10
value: 7.8
verified: no, type: precision_at_100
value: 0.919
verified: no, type: precision_at_1000
value: 0.097
verified: no, type: precision_at_3
value: 21.532999999999998
verified: no, type: precision_at_5
value: 14.16
verified: no, type: recall_at_1
value: 47.699999999999996
verified: no, type: recall_at_10
value: 78
verified: no, type: recall_at_100
value: 91.9
verified: no, type: recall_at_1000
value: 97.3
verified: no, type: recall_at_3
value: 64.60000000000001
verified: no, type: recall_at_5
value: 70.8
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB IFlyTek
revision: 421605374b29664c5fc098418fe20ada9bd55f8a
split: validation
type: C-MTEB/IFlyTek-classification
metrics: type: accuracy
value: 44.84801846864178
verified: no, type: f1
value: 37.47347897956339
verified: no
task: type: Classification, dataset: config: default
name: MTEB JDReview
revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
split: test
type: C-MTEB/JDReview-classification
metrics: type: accuracy
value: 85.81613508442777
verified: no, type: ap
value: 52.68244615477374
verified: no, type: f1
value: 80.0445640948843
verified: no
task: type: Classification, dataset: config: default
name: MTEB LCQMC
revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
split: test
type: C-MTEB/LCQMC
metrics: type: cos_sim_pearson
value: 69.57786502217138
verified: no, type: cos_sim_spearman
value: 75.39106054489906
verified: no, type: euclidean_pearson
value: 73.72082954602402
verified: no, type: euclidean_spearman
value: 75.14421475913619
verified: no, type: manhattan_pearson
value: 73.62463076633642
verified: no, type: manhattan_spearman
value: 75.01301565104112
verified: no
task: type: STS, dataset: config: default
name: MTEB MMarcoReranking
revision: None
split: dev
type: C-MTEB/Mmarco-reranking
metrics: type: map
value: 29.143797057999134
verified: no, type: mrr
value: 28.08174603174603
verified: no
task: type: Reranking, dataset: config: default
name: MTEB MMarcoRetrieval
revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
split: dev
type: C-MTEB/MMarcoRetrieval
metrics: type: map_at_1
value: 70.492
verified: no, type: map_at_10
value: 79.501
verified: no, type: map_at_100
value: 79.728
verified: no, type: map_at_1000
value: 79.735
verified: no, type: map_at_3
value: 77.77
verified: no, type: map_at_5
value: 78.851
verified: no, type: mrr_at_1
value: 72.822
verified: no, type: mrr_at_10
value: 80.001
verified: no, type: mrr_at_100
value: 80.19
verified: no, type: mrr_at_1000
value: 80.197
verified: no, type: mrr_at_3
value: 78.484
verified: no, type: mrr_at_5
value: 79.42099999999999
verified: no, type: ndcg_at_1
value: 72.822
verified: no, type: ndcg_at_10
value: 83.013
verified: no, type: ndcg_at_100
value: 84.013
verified: no, type: ndcg_at_1000
value: 84.20400000000001
verified: no, type: ndcg_at_3
value: 79.728
verified: no, type: ndcg_at_5
value: 81.542
verified: no, type: precision_at_1
value: 72.822
verified: no, type: precision_at_10
value: 9.917
verified: no, type: precision_at_100
value: 1.042
verified: no, type: precision_at_1000
value: 0.106
verified: no, type: precision_at_3
value: 29.847
verified: no, type: precision_at_5
value: 18.871
verified: no, type: recall_at_1
value: 70.492
verified: no, type: recall_at_10
value: 93.325
verified: no, type: recall_at_100
value: 97.822
verified: no, type: recall_at_1000
value: 99.319
verified: no, type: recall_at_3
value: 84.636
verified: no, type: recall_at_5
value: 88.93100000000001
verified: no
task: type: Retrieval, dataset: config: zh-CN
name: MTEB MassiveIntentClassification (zh-CN)
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 76.88298587760592
verified: no, type: f1
value: 73.89001762017176
verified: no
task: type: Classification, dataset: config: zh-CN
name: MTEB MassiveScenarioClassification (zh-CN)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 80.76328177538669
verified: no, type: f1
value: 80.24718532423358
verified: no
task: type: Classification, dataset: config: default
name: MTEB MedicalRetrieval
revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
split: dev
type: C-MTEB/MedicalRetrieval
metrics: type: map_at_1
value: 49.6
verified: no, type: map_at_10
value: 55.620999999999995
verified: no, type: map_at_100
value: 56.204
verified: no, type: map_at_1000
value: 56.251
verified: no, type: map_at_3
value: 54.132999999999996
verified: no, type: map_at_5
value: 54.933
verified: no, type: mrr_at_1
value: 49.7
verified: no, type: mrr_at_10
value: 55.67100000000001
verified: no, type: mrr_at_100
value: 56.254000000000005
verified: no, type: mrr_at_1000
value: 56.301
verified: no, type: mrr_at_3
value: 54.18300000000001
verified: no, type: mrr_at_5
value: 54.983000000000004
verified: no, type: ndcg_at_1
value: 49.6
verified: no, type: ndcg_at_10
value: 58.645
verified: no, type: ndcg_at_100
value: 61.789
verified: no, type: ndcg_at_1000
value: 63.219
verified: no, type: ndcg_at_3
value: 55.567
verified: no, type: ndcg_at_5
value: 57.008
verified: no, type: precision_at_1
value: 49.6
verified: no, type: precision_at_10
value: 6.819999999999999
verified: no, type: precision_at_100
value: 0.836
verified: no, type: precision_at_1000
value: 0.095
verified: no, type: precision_at_3
value: 19.900000000000002
verified: no, type: precision_at_5
value: 12.64
verified: no, type: recall_at_1
value: 49.6
verified: no, type: recall_at_10
value: 68.2
verified: no, type: recall_at_100
value: 83.6
verified: no, type: recall_at_1000
value: 95.3
verified: no, type: recall_at_3
value: 59.699999999999996
verified: no, type: recall_at_5
value: 63.2
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB MultilingualSentiment
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
split: validation
type: C-MTEB/MultilingualSentiment-classification
metrics: type: accuracy
value: 74.45666666666666
verified: no, type: f1
value: 74.32582402190089
verified: no
task: type: Classification, dataset: config: default
name: MTEB Ocnli
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
split: validation
type: C-MTEB/OCNLI
metrics: type: cos_sim_accuracy
value: 80.67135896047645
verified: no, type: cos_sim_ap
value: 87.60421240712051
verified: no, type: cos_sim_f1
value: 82.1304131408661
verified: no, type: cos_sim_precision
value: 77.68361581920904
verified: no, type: cos_sim_recall
value: 87.11721224920802
verified: no, type: dot_accuracy
value: 79.04710341093666
verified: no, type: dot_ap
value: 85.6370059719336
verified: no, type: dot_f1
value: 80.763723150358
verified: no, type: dot_precision
value: 73.69337979094077
verified: no, type: dot_recall
value: 89.33474128827878
verified: no, type: euclidean_accuracy
value: 81.05035192203573
verified: no, type: euclidean_ap
value: 87.7880240053663
verified: no, type: euclidean_f1
value: 82.50244379276637
verified: no, type: euclidean_precision
value: 76.7970882620564
verified: no, type: euclidean_recall
value: 89.1235480464625
verified: no, type: manhattan_accuracy
value: 80.61721710882512
verified: no, type: manhattan_ap
value: 87.43568120591175
verified: no, type: manhattan_f1
value: 81.89526184538653
verified: no, type: manhattan_precision
value: 77.5992438563327
verified: no, type: manhattan_recall
value: 86.6948257655755
verified: no, type: max_accuracy
value: 81.05035192203573
verified: no, type: max_ap
value: 87.7880240053663
verified: no, type: max_f1
value: 82.50244379276637
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB OnlineShopping
revision: e610f2ebd179a8fda30ae534c3878750a96db120
split: test
type: C-MTEB/OnlineShopping-classification
metrics: type: accuracy
value: 93.5
verified: no, type: ap
value: 91.31357903446782
verified: no, type: f1
value: 93.48088994006616
verified: no
task: type: Classification, dataset: config: default
name: MTEB PAWSX
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
split: test
type: C-MTEB/PAWSX
metrics: type: cos_sim_pearson
value: 36.93293453538077
verified: no, type: cos_sim_spearman
value: 42.45972506308574
verified: no, type: euclidean_pearson
value: 42.34945133152159
verified: no, type: euclidean_spearman
value: 42.331610303674644
verified: no, type: manhattan_pearson
value: 42.31455070249498
verified: no, type: manhattan_spearman
value: 42.19887982891834
verified: no
task: type: STS, dataset: config: default
name: MTEB QBQTC
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
split: test
type: C-MTEB/QBQTC
metrics: type: cos_sim_pearson
value: 33.683290790043785
verified: no, type: cos_sim_spearman
value: 35.149171171202994
verified: no, type: euclidean_pearson
value: 32.33806561267862
verified: no, type: euclidean_spearman
value: 34.483576387347966
verified: no, type: manhattan_pearson
value: 32.47629754599608
verified: no, type: manhattan_spearman
value: 34.66434471867615
verified: no
task: type: STS, dataset: config: zh
name: MTEB STS22 (zh)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_pearson
value: 66.46322760516104
verified: no, type: cos_sim_spearman
value: 67.398478319726
verified: no, type: euclidean_pearson
value: 64.7223480293625
verified: no, type: euclidean_spearman
value: 66.83118568812951
verified: no, type: manhattan_pearson
value: 64.88440039828305
verified: no, type: manhattan_spearman
value: 66.80429458952257
verified: no
task: type: STS, dataset: config: default
name: MTEB STSB
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
split: test
type: C-MTEB/STSB
metrics: type: cos_sim_pearson
value: 79.08991383232105
verified: no, type: cos_sim_spearman
value: 79.39715677296854
verified: no, type: euclidean_pearson
value: 78.63201279320496
verified: no, type: euclidean_spearman
value: 79.40262660785731
verified: no, type: manhattan_pearson
value: 78.98138363146906
verified: no, type: manhattan_spearman
value: 79.79968413014194
verified: no
task: type: STS, dataset: config: default
name: MTEB T2Reranking
revision: 76631901a18387f85eaa53e5450019b87ad58ef9
split: dev
type: C-MTEB/T2Reranking
metrics: type: map
value: 67.43289278789972
verified: no, type: mrr
value: 77.53012460908535
verified: no
task: type: Reranking, dataset: config: default
name: MTEB T2Retrieval
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
split: dev
type: C-MTEB/T2Retrieval
metrics: type: map_at_1
value: 27.733999999999998
verified: no, type: map_at_10
value: 78.24799999999999
verified: no, type: map_at_100
value: 81.765
verified: no, type: map_at_1000
value: 81.824
verified: no, type: map_at_3
value: 54.92
verified: no, type: map_at_5
value: 67.61399999999999
verified: no, type: mrr_at_1
value: 90.527
verified: no, type: mrr_at_10
value: 92.843
verified: no, type: mrr_at_100
value: 92.927
verified: no, type: mrr_at_1000
value: 92.93
verified: no, type: mrr_at_3
value: 92.45100000000001
verified: no, type: mrr_at_5
value: 92.693
verified: no, type: ndcg_at_1
value: 90.527
verified: no, type: ndcg_at_10
value: 85.466
verified: no, type: ndcg_at_100
value: 88.846
verified: no, type: ndcg_at_1000
value: 89.415
verified: no, type: ndcg_at_3
value: 86.768
verified: no, type: ndcg_at_5
value: 85.46000000000001
verified: no, type: precision_at_1
value: 90.527
verified: no, type: precision_at_10
value: 42.488
verified: no, type: precision_at_100
value: 5.024
verified: no, type: precision_at_1000
value: 0.516
verified: no, type: precision_at_3
value: 75.907
verified: no, type: precision_at_5
value: 63.727000000000004
verified: no, type: recall_at_1
value: 27.733999999999998
verified: no, type: recall_at_10
value: 84.346
verified: no, type: recall_at_100
value: 95.536
verified: no, type: recall_at_1000
value: 98.42999999999999
verified: no, type: recall_at_3
value: 56.455
verified: no, type: recall_at_5
value: 70.755
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB TNews
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
split: validation
type: C-MTEB/TNews-classification
metrics: type: accuracy
value: 49.952000000000005
verified: no, type: f1
value: 48.264617195258054
verified: no
task: type: Classification, dataset: config: default
name: MTEB ThuNewsClusteringP2P
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
split: test
type: C-MTEB/ThuNewsClusteringP2P
metrics: type: v_measure
value: 68.23769904483508
verified: no
task: type: Clustering, dataset: config: default
name: MTEB ThuNewsClusteringS2S
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
split: test
type: C-MTEB/ThuNewsClusteringS2S
metrics: type: v_measure
value: 62.50294403136556
verified: no
task: type: Clustering, dataset: config: default
name: MTEB VideoRetrieval
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
split: dev
type: C-MTEB/VideoRetrieval
metrics: type: map_at_1
value: 54
verified: no, type: map_at_10
value: 63.668
verified: no, type: map_at_100
value: 64.217
verified: no, type: map_at_1000
value: 64.23100000000001
verified: no, type: map_at_3
value: 61.7
verified: no, type: map_at_5
value: 62.870000000000005
verified: no, type: mrr_at_1
value: 54
verified: no, type: mrr_at_10
value: 63.668
verified: no, type: mrr_at_100
value: 64.217
verified: no, type: mrr_at_1000
value: 64.23100000000001
verified: no, type: mrr_at_3
value: 61.7
verified: no, type: mrr_at_5
value: 62.870000000000005
verified: no, type: ndcg_at_1
value: 54
verified: no, type: ndcg_at_10
value: 68.11399999999999
verified: no, type: ndcg_at_100
value: 70.723
verified: no, type: ndcg_at_1000
value: 71.123
verified: no, type: ndcg_at_3
value: 64.074
verified: no, type: ndcg_at_5
value: 66.178
verified: no, type: precision_at_1
value: 54
verified: no, type: precision_at_10
value: 8.200000000000001
verified: no, type: precision_at_100
value: 0.941
verified: no, type: precision_at_1000
value: 0.097
verified: no, type: precision_at_3
value: 23.633000000000003
verified: no, type: precision_at_5
value: 15.2
verified: no, type: recall_at_1
value: 54
verified: no, type: recall_at_10
value: 82
verified: no, type: recall_at_100
value: 94.1
verified: no, type: recall_at_1000
value: 97.3
verified: no, type: recall_at_3
value: 70.89999999999999
verified: no, type: recall_at_5
value: 76
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB Waimai
revision: 339287def212450dcaa9df8c22bf93e9980c7023
split: test
type: C-MTEB/waimai-classification
metrics: type: accuracy
value: 86.63000000000001
verified: no, type: ap
value: 69.99457882599567
verified: no, type: f1
value: 85.07735617998541
verified: no
task: type: Classification, dataset: config: default
name: MTEB 8TagsClustering
revision: None
split: test
type: PL-MTEB/8tags-clustering
metrics: type: v_measure
value: 44.594104491193555
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AllegroReviews
revision: None
split: test
type: PL-MTEB/allegro-reviews
metrics: type: accuracy
value: 63.97614314115309
verified: no, type: f1
value: 52.15634261679283
verified: no
task: type: Classification, dataset: config: default
name: MTEB ArguAna-PL
revision: 63fc86750af76253e8c760fc9e534bbf24d260a2
split: test
type: clarin-knext/arguana-pl
metrics: type: map_at_1
value: 32.646
verified: no, type: map_at_10
value: 47.963
verified: no, type: map_at_100
value: 48.789
verified: no, type: map_at_1000
value: 48.797000000000004
verified: no, type: map_at_3
value: 43.196
verified: no, type: map_at_5
value: 46.016
verified: no, type: mrr_at_1
value: 33.073
verified: no, type: mrr_at_10
value: 48.126000000000005
verified: no, type: mrr_at_100
value: 48.946
verified: no, type: mrr_at_1000
value: 48.953
verified: no, type: mrr_at_3
value: 43.374
verified: no, type: mrr_at_5
value: 46.147
verified: no, type: ndcg_at_1
value: 32.646
verified: no, type: ndcg_at_10
value: 56.481
verified: no, type: ndcg_at_100
value: 59.922
verified: no, type: ndcg_at_1000
value: 60.07
verified: no, type: ndcg_at_3
value: 46.675
verified: no, type: ndcg_at_5
value: 51.76500000000001
verified: no, type: precision_at_1
value: 32.646
verified: no, type: precision_at_10
value: 8.371
verified: no, type: precision_at_100
value: 0.9860000000000001
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 18.919
verified: no, type: precision_at_5
value: 13.825999999999999
verified: no, type: recall_at_1
value: 32.646
verified: no, type: recall_at_10
value: 83.71300000000001
verified: no, type: recall_at_100
value: 98.578
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_3
value: 56.757000000000005
verified: no, type: recall_at_5
value: 69.132
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CBD
revision: None
split: test
type: PL-MTEB/cbd
metrics: type: accuracy
value: 68.56
verified: no, type: ap
value: 23.310493680488513
verified: no, type: f1
value: 58.85369533105693
verified: no
task: type: Classification, dataset: config: default
name: MTEB CDSC-E
revision: None
split: test
type: PL-MTEB/cdsce-pairclassification
metrics: type: cos_sim_accuracy
value: 88.5
verified: no, type: cos_sim_ap
value: 72.42140924378361
verified: no, type: cos_sim_f1
value: 66.0919540229885
verified: no, type: cos_sim_precision
value: 72.78481012658227
verified: no, type: cos_sim_recall
value: 60.526315789473685
verified: no, type: dot_accuracy
value: 88.5
verified: no, type: dot_ap
value: 72.42140924378361
verified: no, type: dot_f1
value: 66.0919540229885
verified: no, type: dot_precision
value: 72.78481012658227
verified: no, type: dot_recall
value: 60.526315789473685
verified: no, type: euclidean_accuracy
value: 88.5
verified: no, type: euclidean_ap
value: 72.42140924378361
verified: no, type: euclidean_f1
value: 66.0919540229885
verified: no, type: euclidean_precision
value: 72.78481012658227
verified: no, type: euclidean_recall
value: 60.526315789473685
verified: no, type: manhattan_accuracy
value: 88.5
verified: no, type: manhattan_ap
value: 72.49745515311696
verified: no, type: manhattan_f1
value: 66.0968660968661
verified: no, type: manhattan_precision
value: 72.04968944099379
verified: no, type: manhattan_recall
value: 61.05263157894737
verified: no, type: max_accuracy
value: 88.5
verified: no, type: max_ap
value: 72.49745515311696
verified: no, type: max_f1
value: 66.0968660968661
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB CDSC-R
revision: None
split: test
type: PL-MTEB/cdscr-sts
metrics: type: cos_sim_pearson
value: 90.32269765590145
verified: no, type: cos_sim_spearman
value: 89.73666311491672
verified: no, type: euclidean_pearson
value: 88.2933868516544
verified: no, type: euclidean_spearman
value: 89.73666311491672
verified: no, type: manhattan_pearson
value: 88.33474590219448
verified: no, type: manhattan_spearman
value: 89.8548364866583
verified: no
task: type: STS, dataset: config: default
name: MTEB DBPedia-PL
revision: 76afe41d9af165cc40999fcaa92312b8b012064a
split: test
type: clarin-knext/dbpedia-pl
metrics: type: map_at_1
value: 7.632999999999999
verified: no, type: map_at_10
value: 16.426
verified: no, type: map_at_100
value: 22.651
verified: no, type: map_at_1000
value: 24.372
verified: no, type: map_at_3
value: 11.706
verified: no, type: map_at_5
value: 13.529
verified: no, type: mrr_at_1
value: 60.75000000000001
verified: no, type: mrr_at_10
value: 68.613
verified: no, type: mrr_at_100
value: 69.001
verified: no, type: mrr_at_1000
value: 69.021
verified: no, type: mrr_at_3
value: 67
verified: no, type: mrr_at_5
value: 67.925
verified: no, type: ndcg_at_1
value: 49.875
verified: no, type: ndcg_at_10
value: 36.978
verified: no, type: ndcg_at_100
value: 40.031
verified: no, type: ndcg_at_1000
value: 47.566
verified: no, type: ndcg_at_3
value: 41.148
verified: no, type: ndcg_at_5
value: 38.702
verified: no, type: precision_at_1
value: 60.75000000000001
verified: no, type: precision_at_10
value: 29.7
verified: no, type: precision_at_100
value: 9.278
verified: no, type: precision_at_1000
value: 2.099
verified: no, type: precision_at_3
value: 44
verified: no, type: precision_at_5
value: 37.6
verified: no, type: recall_at_1
value: 7.632999999999999
verified: no, type: recall_at_10
value: 22.040000000000003
verified: no, type: recall_at_100
value: 44.024
verified: no, type: recall_at_1000
value: 67.848
verified: no, type: recall_at_3
value: 13.093
verified: no, type: recall_at_5
value: 15.973
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB FiQA-PL
revision: 2e535829717f8bf9dc829b7f911cc5bbd4e6608e
split: test
type: clarin-knext/fiqa-pl
metrics: type: map_at_1
value: 15.473
verified: no, type: map_at_10
value: 24.579
verified: no, type: map_at_100
value: 26.387
verified: no, type: map_at_1000
value: 26.57
verified: no, type: map_at_3
value: 21.278
verified: no, type: map_at_5
value: 23.179
verified: no, type: mrr_at_1
value: 30.709999999999997
verified: no, type: mrr_at_10
value: 38.994
verified: no, type: mrr_at_100
value: 39.993
verified: no, type: mrr_at_1000
value: 40.044999999999995
verified: no, type: mrr_at_3
value: 36.342999999999996
verified: no, type: mrr_at_5
value: 37.846999999999994
verified: no, type: ndcg_at_1
value: 30.709999999999997
verified: no, type: ndcg_at_10
value: 31.608999999999998
verified: no, type: ndcg_at_100
value: 38.807
verified: no, type: ndcg_at_1000
value: 42.208
verified: no, type: ndcg_at_3
value: 28.086
verified: no, type: ndcg_at_5
value: 29.323
verified: no, type: precision_at_1
value: 30.709999999999997
verified: no, type: precision_at_10
value: 8.688
verified: no, type: precision_at_100
value: 1.608
verified: no, type: precision_at_1000
value: 0.22100000000000003
verified: no, type: precision_at_3
value: 18.724
verified: no, type: precision_at_5
value: 13.950999999999999
verified: no, type: recall_at_1
value: 15.473
verified: no, type: recall_at_10
value: 38.361000000000004
verified: no, type: recall_at_100
value: 65.2
verified: no, type: recall_at_1000
value: 85.789
verified: no, type: recall_at_3
value: 25.401
verified: no, type: recall_at_5
value: 30.875999999999998
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB HotpotQA-PL
revision: a0bd479ac97b4ccb5bd6ce320c415d0bb4beb907
split: test
type: clarin-knext/hotpotqa-pl
metrics: type: map_at_1
value: 38.096000000000004
verified: no, type: map_at_10
value: 51.44499999999999
verified: no, type: map_at_100
value: 52.325
verified: no, type: map_at_1000
value: 52.397000000000006
verified: no, type: map_at_3
value: 48.626999999999995
verified: no, type: map_at_5
value: 50.342
verified: no, type: mrr_at_1
value: 76.19200000000001
verified: no, type: mrr_at_10
value: 81.191
verified: no, type: mrr_at_100
value: 81.431
verified: no, type: mrr_at_1000
value: 81.443
verified: no, type: mrr_at_3
value: 80.30199999999999
verified: no, type: mrr_at_5
value: 80.85900000000001
verified: no, type: ndcg_at_1
value: 76.19200000000001
verified: no, type: ndcg_at_10
value: 60.9
verified: no, type: ndcg_at_100
value: 64.14699999999999
verified: no, type: ndcg_at_1000
value: 65.647
verified: no, type: ndcg_at_3
value: 56.818000000000005
verified: no, type: ndcg_at_5
value: 59.019999999999996
verified: no, type: precision_at_1
value: 76.19200000000001
verified: no, type: precision_at_10
value: 12.203
verified: no, type: precision_at_100
value: 1.478
verified: no, type: precision_at_1000
value: 0.168
verified: no, type: precision_at_3
value: 34.616
verified: no, type: precision_at_5
value: 22.515
verified: no, type: recall_at_1
value: 38.096000000000004
verified: no, type: recall_at_10
value: 61.013
verified: no, type: recall_at_100
value: 73.90299999999999
verified: no, type: recall_at_1000
value: 83.91
verified: no, type: recall_at_3
value: 51.92400000000001
verified: no, type: recall_at_5
value: 56.286
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB MSMARCO-PL
revision: 8634c07806d5cce3a6138e260e59b81760a0a640
split: test
type: clarin-knext/msmarco-pl
metrics: type: map_at_1
value: 1.548
verified: no, type: map_at_10
value: 11.049000000000001
verified: no, type: map_at_100
value: 28.874
verified: no, type: map_at_1000
value: 34.931
verified: no, type: map_at_3
value: 4.162
verified: no, type: map_at_5
value: 6.396
verified: no, type: mrr_at_1
value: 90.69800000000001
verified: no, type: mrr_at_10
value: 92.093
verified: no, type: mrr_at_100
value: 92.345
verified: no, type: mrr_at_1000
value: 92.345
verified: no, type: mrr_at_3
value: 91.86
verified: no, type: mrr_at_5
value: 91.86
verified: no, type: ndcg_at_1
value: 74.031
verified: no, type: ndcg_at_10
value: 63.978
verified: no, type: ndcg_at_100
value: 53.101
verified: no, type: ndcg_at_1000
value: 60.675999999999995
verified: no, type: ndcg_at_3
value: 71.421
verified: no, type: ndcg_at_5
value: 68.098
verified: no, type: precision_at_1
value: 90.69800000000001
verified: no, type: precision_at_10
value: 71.86
verified: no, type: precision_at_100
value: 31.395
verified: no, type: precision_at_1000
value: 5.981
verified: no, type: precision_at_3
value: 84.49600000000001
verified: no, type: precision_at_5
value: 79.07
verified: no, type: recall_at_1
value: 1.548
verified: no, type: recall_at_10
value: 12.149000000000001
verified: no, type: recall_at_100
value: 40.794999999999995
verified: no, type: recall_at_1000
value: 67.974
verified: no, type: recall_at_3
value: 4.244
verified: no, type: recall_at_5
value: 6.608
verified: no
task: type: Retrieval, dataset: config: pl
name: MTEB MassiveIntentClassification (pl)
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 73.55413584398119
verified: no, type: f1
value: 69.65610882318181
verified: no
task: type: Classification, dataset: config: pl
name: MTEB MassiveScenarioClassification (pl)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 76.37188971082716
verified: no, type: f1
value: 75.64847309941361
verified: no
task: type: Classification, dataset: config: default
name: MTEB NFCorpus-PL
revision: 9a6f9567fda928260afed2de480d79c98bf0bec0
split: test
type: clarin-knext/nfcorpus-pl
metrics: type: map_at_1
value: 4.919
verified: no, type: map_at_10
value: 10.834000000000001
verified: no, type: map_at_100
value: 13.38
verified: no, type: map_at_1000
value: 14.581
verified: no, type: map_at_3
value: 8.198
verified: no, type: map_at_5
value: 9.428
verified: no, type: mrr_at_1
value: 41.176
verified: no, type: mrr_at_10
value: 50.083
verified: no, type: mrr_at_100
value: 50.559
verified: no, type: mrr_at_1000
value: 50.604000000000006
verified: no, type: mrr_at_3
value: 47.936
verified: no, type: mrr_at_5
value: 49.407000000000004
verified: no, type: ndcg_at_1
value: 39.628
verified: no, type: ndcg_at_10
value: 30.098000000000003
verified: no, type: ndcg_at_100
value: 27.061
verified: no, type: ndcg_at_1000
value: 35.94
verified: no, type: ndcg_at_3
value: 35.135
verified: no, type: ndcg_at_5
value: 33.335
verified: no, type: precision_at_1
value: 41.176
verified: no, type: precision_at_10
value: 22.259999999999998
verified: no, type: precision_at_100
value: 6.712
verified: no, type: precision_at_1000
value: 1.9060000000000001
verified: no, type: precision_at_3
value: 33.23
verified: no, type: precision_at_5
value: 29.04
verified: no, type: recall_at_1
value: 4.919
verified: no, type: recall_at_10
value: 14.196
verified: no, type: recall_at_100
value: 26.948
verified: no, type: recall_at_1000
value: 59.211000000000006
verified: no, type: recall_at_3
value: 9.44
verified: no, type: recall_at_5
value: 11.569
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB NQ-PL
revision: f171245712cf85dd4700b06bef18001578d0ca8d
split: test
type: clarin-knext/nq-pl
metrics: type: map_at_1
value: 25.35
verified: no, type: map_at_10
value: 37.884
verified: no, type: map_at_100
value: 38.955
verified: no, type: map_at_1000
value: 39.007999999999996
verified: no, type: map_at_3
value: 34.239999999999995
verified: no, type: map_at_5
value: 36.398
verified: no, type: mrr_at_1
value: 28.737000000000002
verified: no, type: mrr_at_10
value: 39.973
verified: no, type: mrr_at_100
value: 40.844
verified: no, type: mrr_at_1000
value: 40.885
verified: no, type: mrr_at_3
value: 36.901
verified: no, type: mrr_at_5
value: 38.721
verified: no, type: ndcg_at_1
value: 28.708
verified: no, type: ndcg_at_10
value: 44.204
verified: no, type: ndcg_at_100
value: 48.978
verified: no, type: ndcg_at_1000
value: 50.33
verified: no, type: ndcg_at_3
value: 37.36
verified: no, type: ndcg_at_5
value: 40.912
verified: no, type: precision_at_1
value: 28.708
verified: no, type: precision_at_10
value: 7.367
verified: no, type: precision_at_100
value: 1.0030000000000001
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 17.034
verified: no, type: precision_at_5
value: 12.293999999999999
verified: no, type: recall_at_1
value: 25.35
verified: no, type: recall_at_10
value: 61.411
verified: no, type: recall_at_100
value: 82.599
verified: no, type: recall_at_1000
value: 92.903
verified: no, type: recall_at_3
value: 43.728
verified: no, type: recall_at_5
value: 51.854
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB PAC
revision: None
split: test
type: laugustyniak/abusive-clauses-pl
metrics: type: accuracy
value: 69.04141326382856
verified: no, type: ap
value: 77.49422763833996
verified: no, type: f1
value: 66.73472657783407
verified: no
task: type: Classification, dataset: config: default
name: MTEB PPC
revision: None
split: test
type: PL-MTEB/ppc-pairclassification
metrics: type: cos_sim_accuracy
value: 81
verified: no, type: cos_sim_ap
value: 91.47194213011349
verified: no, type: cos_sim_f1
value: 84.73767885532592
verified: no, type: cos_sim_precision
value: 81.49847094801224
verified: no, type: cos_sim_recall
value: 88.24503311258279
verified: no, type: dot_accuracy
value: 81
verified: no, type: dot_ap
value: 91.47194213011349
verified: no, type: dot_f1
value: 84.73767885532592
verified: no, type: dot_precision
value: 81.49847094801224
verified: no, type: dot_recall
value: 88.24503311258279
verified: no, type: euclidean_accuracy
value: 81
verified: no, type: euclidean_ap
value: 91.47194213011349
verified: no, type: euclidean_f1
value: 84.73767885532592
verified: no, type: euclidean_precision
value: 81.49847094801224
verified: no, type: euclidean_recall
value: 88.24503311258279
verified: no, type: manhattan_accuracy
value: 81
verified: no, type: manhattan_ap
value: 91.46464475050571
verified: no, type: manhattan_f1
value: 84.48687350835321
verified: no, type: manhattan_precision
value: 81.31699846860643
verified: no, type: manhattan_recall
value: 87.91390728476821
verified: no, type: max_accuracy
value: 81
verified: no, type: max_ap
value: 91.47194213011349
verified: no, type: max_f1
value: 84.73767885532592
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB PSC
revision: None
split: test
type: PL-MTEB/psc-pairclassification
metrics: type: cos_sim_accuracy
value: 97.6808905380334
verified: no, type: cos_sim_ap
value: 99.27948611836348
verified: no, type: cos_sim_f1
value: 96.15975422427034
verified: no, type: cos_sim_precision
value: 96.90402476780186
verified: no, type: cos_sim_recall
value: 95.42682926829268
verified: no, type: dot_accuracy
value: 97.6808905380334
verified: no, type: dot_ap
value: 99.2794861183635
verified: no, type: dot_f1
value: 96.15975422427034
verified: no, type: dot_precision
value: 96.90402476780186
verified: no, type: dot_recall
value: 95.42682926829268
verified: no, type: euclidean_accuracy
value: 97.6808905380334
verified: no, type: euclidean_ap
value: 99.2794861183635
verified: no, type: euclidean_f1
value: 96.15975422427034
verified: no, type: euclidean_precision
value: 96.90402476780186
verified: no, type: euclidean_recall
value: 95.42682926829268
verified: no, type: manhattan_accuracy
value: 97.6808905380334
verified: no, type: manhattan_ap
value: 99.28715055268721
verified: no, type: manhattan_f1
value: 96.14791987673343
verified: no, type: manhattan_precision
value: 97.19626168224299
verified: no, type: manhattan_recall
value: 95.1219512195122
verified: no, type: max_accuracy
value: 97.6808905380334
verified: no, type: max_ap
value: 99.28715055268721
verified: no, type: max_f1
value: 96.15975422427034
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB PolEmo2.0-IN
revision: None
split: test
type: PL-MTEB/polemo2_in
metrics: type: accuracy
value: 86.16343490304708
verified: no, type: f1
value: 83.3442579486744
verified: no
task: type: Classification, dataset: config: default
name: MTEB PolEmo2.0-OUT
revision: None
split: test
type: PL-MTEB/polemo2_out
metrics: type: accuracy
value: 68.40080971659918
verified: no, type: f1
value: 53.13720751142237
verified: no
task: type: Classification, dataset: config: default
name: MTEB Quora-PL
revision: 0be27e93455051e531182b85e85e425aba12e9d4
split: test
type: clarin-knext/quora-pl
metrics: type: map_at_1
value: 63.322
verified: no, type: map_at_10
value: 76.847
verified: no, type: map_at_100
value: 77.616
verified: no, type: map_at_1000
value: 77.644
verified: no, type: map_at_3
value: 73.624
verified: no, type: map_at_5
value: 75.603
verified: no, type: mrr_at_1
value: 72.88
verified: no, type: mrr_at_10
value: 80.376
verified: no, type: mrr_at_100
value: 80.604
verified: no, type: mrr_at_1000
value: 80.61
verified: no, type: mrr_at_3
value: 78.92
verified: no, type: mrr_at_5
value: 79.869
verified: no, type: ndcg_at_1
value: 72.89999999999999
verified: no, type: ndcg_at_10
value: 81.43
verified: no, type: ndcg_at_100
value: 83.394
verified: no, type: ndcg_at_1000
value: 83.685
verified: no, type: ndcg_at_3
value: 77.62599999999999
verified: no, type: ndcg_at_5
value: 79.656
verified: no, type: precision_at_1
value: 72.89999999999999
verified: no, type: precision_at_10
value: 12.548
verified: no, type: precision_at_100
value: 1.4869999999999999
verified: no, type: precision_at_1000
value: 0.155
verified: no, type: precision_at_3
value: 34.027
verified: no, type: precision_at_5
value: 22.654
verified: no, type: recall_at_1
value: 63.322
verified: no, type: recall_at_10
value: 90.664
verified: no, type: recall_at_100
value: 97.974
verified: no, type: recall_at_1000
value: 99.636
verified: no, type: recall_at_3
value: 80.067
verified: no, type: recall_at_5
value: 85.526
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SCIDOCS-PL
revision: 45452b03f05560207ef19149545f168e596c9337
split: test
type: clarin-knext/scidocs-pl
metrics: type: map_at_1
value: 3.95
verified: no, type: map_at_10
value: 9.658999999999999
verified: no, type: map_at_100
value: 11.384
verified: no, type: map_at_1000
value: 11.677
verified: no, type: map_at_3
value: 7.055
verified: no, type: map_at_5
value: 8.244
verified: no, type: mrr_at_1
value: 19.5
verified: no, type: mrr_at_10
value: 28.777
verified: no, type: mrr_at_100
value: 29.936
verified: no, type: mrr_at_1000
value: 30.009999999999998
verified: no, type: mrr_at_3
value: 25.55
verified: no, type: mrr_at_5
value: 27.284999999999997
verified: no, type: ndcg_at_1
value: 19.5
verified: no, type: ndcg_at_10
value: 16.589000000000002
verified: no, type: ndcg_at_100
value: 23.879
verified: no, type: ndcg_at_1000
value: 29.279
verified: no, type: ndcg_at_3
value: 15.719
verified: no, type: ndcg_at_5
value: 13.572000000000001
verified: no, type: precision_at_1
value: 19.5
verified: no, type: precision_at_10
value: 8.62
verified: no, type: precision_at_100
value: 1.924
verified: no, type: precision_at_1000
value: 0.322
verified: no, type: precision_at_3
value: 14.6
verified: no, type: precision_at_5
value: 11.78
verified: no, type: recall_at_1
value: 3.95
verified: no, type: recall_at_10
value: 17.477999999999998
verified: no, type: recall_at_100
value: 38.99
verified: no, type: recall_at_1000
value: 65.417
verified: no, type: recall_at_3
value: 8.883000000000001
verified: no, type: recall_at_5
value: 11.933
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SICK-E-PL
revision: None
split: test
type: PL-MTEB/sicke-pl-pairclassification
metrics: type: cos_sim_accuracy
value: 83.48960456583775
verified: no, type: cos_sim_ap
value: 76.31522115825375
verified: no, type: cos_sim_f1
value: 70.35573122529645
verified: no, type: cos_sim_precision
value: 70.9934735315446
verified: no, type: cos_sim_recall
value: 69.72934472934473
verified: no, type: dot_accuracy
value: 83.48960456583775
verified: no, type: dot_ap
value: 76.31522115825373
verified: no, type: dot_f1
value: 70.35573122529645
verified: no, type: dot_precision
value: 70.9934735315446
verified: no, type: dot_recall
value: 69.72934472934473
verified: no, type: euclidean_accuracy
value: 83.48960456583775
verified: no, type: euclidean_ap
value: 76.31522115825373
verified: no, type: euclidean_f1
value: 70.35573122529645
verified: no, type: euclidean_precision
value: 70.9934735315446
verified: no, type: euclidean_recall
value: 69.72934472934473
verified: no, type: manhattan_accuracy
value: 83.46922136159804
verified: no, type: manhattan_ap
value: 76.18474601388084
verified: no, type: manhattan_f1
value: 70.34779490856937
verified: no, type: manhattan_precision
value: 70.83032490974729
verified: no, type: manhattan_recall
value: 69.87179487179486
verified: no, type: max_accuracy
value: 83.48960456583775
verified: no, type: max_ap
value: 76.31522115825375
verified: no, type: max_f1
value: 70.35573122529645
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB SICK-R-PL
revision: None
split: test
type: PL-MTEB/sickr-pl-sts
metrics: type: cos_sim_pearson
value: 77.95374883876302
verified: no, type: cos_sim_spearman
value: 73.77630219171942
verified: no, type: euclidean_pearson
value: 75.81927069594934
verified: no, type: euclidean_spearman
value: 73.7763211303831
verified: no, type: manhattan_pearson
value: 76.03126859057528
verified: no, type: manhattan_spearman
value: 73.96528138013369
verified: no
task: type: STS, dataset: config: pl
name: MTEB STS22 (pl)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_pearson
value: 37.388282764841826
verified: no, type: cos_sim_spearman
value: 40.83477184710897
verified: no, type: euclidean_pearson
value: 26.754737044177805
verified: no, type: euclidean_spearman
value: 40.83477184710897
verified: no, type: manhattan_pearson
value: 26.760453110872458
verified: no, type: manhattan_spearman
value: 41.034477441383856
verified: no
task: type: STS, dataset: config: default
name: MTEB SciFact-PL
revision: 47932a35f045ef8ed01ba82bf9ff67f6e109207e
split: test
type: clarin-knext/scifact-pl
metrics: type: map_at_1
value: 49.15
verified: no, type: map_at_10
value: 61.690999999999995
verified: no, type: map_at_100
value: 62.348000000000006
verified: no, type: map_at_1000
value: 62.38
verified: no, type: map_at_3
value: 58.824
verified: no, type: map_at_5
value: 60.662000000000006
verified: no, type: mrr_at_1
value: 51.333
verified: no, type: mrr_at_10
value: 62.731
verified: no, type: mrr_at_100
value: 63.245
verified: no, type: mrr_at_1000
value: 63.275000000000006
verified: no, type: mrr_at_3
value: 60.667
verified: no, type: mrr_at_5
value: 61.93300000000001
verified: no, type: ndcg_at_1
value: 51.333
verified: no, type: ndcg_at_10
value: 67.168
verified: no, type: ndcg_at_100
value: 69.833
verified: no, type: ndcg_at_1000
value: 70.56700000000001
verified: no, type: ndcg_at_3
value: 62.40599999999999
verified: no, type: ndcg_at_5
value: 65.029
verified: no, type: precision_at_1
value: 51.333
verified: no, type: precision_at_10
value: 9.333
verified: no, type: precision_at_100
value: 1.0699999999999998
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_3
value: 25.333
verified: no, type: precision_at_5
value: 17.067
verified: no, type: recall_at_1
value: 49.15
verified: no, type: recall_at_10
value: 82.533
verified: no, type: recall_at_100
value: 94.167
verified: no, type: recall_at_1000
value: 99.667
verified: no, type: recall_at_3
value: 69.917
verified: no, type: recall_at_5
value: 76.356
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB TRECCOVID-PL
revision: 81bcb408f33366c2a20ac54adafad1ae7e877fdd
split: test
type: clarin-knext/trec-covid-pl
metrics: type: map_at_1
value: 0.261
verified: no, type: map_at_10
value: 2.1260000000000003
verified: no, type: map_at_100
value: 12.171999999999999
verified: no, type: map_at_1000
value: 26.884999999999998
verified: no, type: map_at_3
value: 0.695
verified: no, type: map_at_5
value: 1.134
verified: no, type: mrr_at_1
value: 96
verified: no, type: mrr_at_10
value: 96.952
verified: no, type: mrr_at_100
value: 96.952
verified: no, type: mrr_at_1000
value: 96.952
verified: no, type: mrr_at_3
value: 96.667
verified: no, type: mrr_at_5
value: 96.667
verified: no, type: ndcg_at_1
value: 92
verified: no, type: ndcg_at_10
value: 81.193
verified: no, type: ndcg_at_100
value: 61.129
verified: no, type: ndcg_at_1000
value: 51.157
verified: no, type: ndcg_at_3
value: 85.693
verified: no, type: ndcg_at_5
value: 84.129
verified: no, type: precision_at_1
value: 96
verified: no, type: precision_at_10
value: 85.39999999999999
verified: no, type: precision_at_100
value: 62.03999999999999
verified: no, type: precision_at_1000
value: 22.224
verified: no, type: precision_at_3
value: 88
verified: no, type: precision_at_5
value: 88
verified: no, type: recall_at_1
value: 0.261
verified: no, type: recall_at_10
value: 2.262
verified: no, type: recall_at_100
value: 14.981
verified: no, type: recall_at_1000
value: 46.837
verified: no, type: recall_at_3
value: 0.703
verified: no, type: recall_at_5
value: 1.172
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB AlloProfClusteringP2P
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
split: test
type: lyon-nlp/alloprof
metrics: type: v_measure
value: 70.55290063940157
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AlloProfClusteringS2S
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
split: test
type: lyon-nlp/alloprof
metrics: type: v_measure
value: 55.41500719337263
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AlloprofReranking
revision: 666fdacebe0291776e86f29345663dfaf80a0db9
split: test
type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
metrics: type: map
value: 73.48697375332002
verified: no, type: mrr
value: 75.01836585523822
verified: no
task: type: Reranking, dataset: config: default
name: MTEB AlloprofRetrieval
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
split: test
type: lyon-nlp/alloprof
metrics: type: map_at_1
value: 38.454
verified: no, type: map_at_10
value: 51.605000000000004
verified: no, type: map_at_100
value: 52.653000000000006
verified: no, type: map_at_1000
value: 52.697
verified: no, type: map_at_3
value: 48.304
verified: no, type: map_at_5
value: 50.073
verified: no, type: mrr_at_1
value: 43.307
verified: no, type: mrr_at_10
value: 54.400000000000006
verified: no, type: mrr_at_100
value: 55.147999999999996
verified: no, type: mrr_at_1000
value: 55.174
verified: no, type: mrr_at_3
value: 51.77
verified: no, type: mrr_at_5
value: 53.166999999999994
verified: no, type: ndcg_at_1
value: 43.307
verified: no, type: ndcg_at_10
value: 57.891000000000005
verified: no, type: ndcg_at_100
value: 62.161
verified: no, type: ndcg_at_1000
value: 63.083
verified: no, type: ndcg_at_3
value: 51.851
verified: no, type: ndcg_at_5
value: 54.605000000000004
verified: no, type: precision_at_1
value: 43.307
verified: no, type: precision_at_10
value: 9.033
verified: no, type: precision_at_100
value: 1.172
verified: no, type: precision_at_1000
value: 0.127
verified: no, type: precision_at_3
value: 22.798
verified: no, type: precision_at_5
value: 15.492
verified: no, type: recall_at_1
value: 38.454
verified: no, type: recall_at_10
value: 74.166
verified: no, type: recall_at_100
value: 92.43599999999999
verified: no, type: recall_at_1000
value: 99.071
verified: no, type: recall_at_3
value: 58.087
verified: no, type: recall_at_5
value: 64.568
verified: no
task: type: Retrieval, dataset: config: fr
name: MTEB AmazonReviewsClassification (fr)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 53.474
verified: no, type: f1
value: 50.38275392350236
verified: no
task: type: Classification, dataset: config: default
name: MTEB BSARDRetrieval
revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
split: test
type: maastrichtlawtech/bsard
metrics: type: map_at_1
value: 2.252
verified: no, type: map_at_10
value: 4.661
verified: no, type: map_at_100
value: 5.271
verified: no, type: map_at_1000
value: 5.3629999999999995
verified: no, type: map_at_3
value: 3.604
verified: no, type: map_at_5
value: 4.3020000000000005
verified: no, type: mrr_at_1
value: 2.252
verified: no, type: mrr_at_10
value: 4.661
verified: no, type: mrr_at_100
value: 5.271
verified: no, type: mrr_at_1000
value: 5.3629999999999995
verified: no, type: mrr_at_3
value: 3.604
verified: no, type: mrr_at_5
value: 4.3020000000000005
verified: no, type: ndcg_at_1
value: 2.252
verified: no, type: ndcg_at_10
value: 6.3020000000000005
verified: no, type: ndcg_at_100
value: 10.342
verified: no, type: ndcg_at_1000
value: 13.475999999999999
verified: no, type: ndcg_at_3
value: 4.0649999999999995
verified: no, type: ndcg_at_5
value: 5.344
verified: no, type: precision_at_1
value: 2.252
verified: no, type: precision_at_10
value: 1.171
verified: no, type: precision_at_100
value: 0.333
verified: no, type: precision_at_1000
value: 0.059000000000000004
verified: no, type: precision_at_3
value: 1.802
verified: no, type: precision_at_5
value: 1.712
verified: no, type: recall_at_1
value: 2.252
verified: no, type: recall_at_10
value: 11.712
verified: no, type: recall_at_100
value: 33.333
verified: no, type: recall_at_1000
value: 59.458999999999996
verified: no, type: recall_at_3
value: 5.405
verified: no, type: recall_at_5
value: 8.559
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB HALClusteringS2S
revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
split: test
type: lyon-nlp/clustering-hal-s2s
metrics: type: v_measure
value: 28.301882091023288
verified: no
task: type: Clustering, dataset: config: default
name: MTEB MLSUMClusteringP2P
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: mlsum
metrics: type: v_measure
value: 45.26992995191701
verified: no
task: type: Clustering, dataset: config: default
name: MTEB MLSUMClusteringS2S
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: mlsum
metrics: type: v_measure
value: 42.773174876871145
verified: no
task: type: Clustering, dataset: config: fr
name: MTEB MTOPDomainClassification (fr)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
value: 93.47635452552458
verified: no, type: f1
value: 93.19922617577213
verified: no
task: type: Classification, dataset: config: fr
name: MTEB MTOPIntentClassification (fr)
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
split: test
type: mteb/mtop_intent
metrics: type: accuracy
value: 80.2317569683683
verified: no, type: f1
value: 56.18060418621901
verified: no
task: type: Classification, dataset: config: fra
name: MTEB MasakhaNEWSClassification (fra)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: accuracy
value: 85.18957345971565
verified: no, type: f1
value: 80.829981537394
verified: no
task: type: Classification, dataset: config: fra
name: MTEB MasakhaNEWSClusteringP2P (fra)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: v_measure
value: 71.04138999801822
verified: no
task: type: Clustering, dataset: config: fra
name: MTEB MasakhaNEWSClusteringS2S (fra)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: v_measure
value: 71.7056263158008
verified: no
task: type: Clustering, dataset: config: fr
name: MTEB MassiveIntentClassification (fr)
revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 76.65097511768661
verified: no, type: f1
value: 73.82441070598712
verified: no
task: type: Classification, dataset: config: fr
name: MTEB MassiveScenarioClassification (fr)
revision: 7d571f92784cd94a019292a1f45445077d0ef634
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 79.09885675857431
verified: no, type: f1
value: 78.28407777434224
verified: no
task: type: Classification, dataset: config: fr
name: MTEB MintakaRetrieval (fr)
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
split: test
type: jinaai/mintakaqa
metrics: type: map_at_1
value: 25.307000000000002
verified: no, type: map_at_10
value: 36.723
verified: no, type: map_at_100
value: 37.713
verified: no, type: map_at_1000
value: 37.769000000000005
verified: no, type: map_at_3
value: 33.77
verified: no, type: map_at_5
value: 35.463
verified: no, type: mrr_at_1
value: 25.307000000000002
verified: no, type: mrr_at_10
value: 36.723
verified: no, type: mrr_at_100
value: 37.713
verified: no, type: mrr_at_1000
value: 37.769000000000005
verified: no, type: mrr_at_3
value: 33.77
verified: no, type: mrr_at_5
value: 35.463
verified: no, type: ndcg_at_1
value: 25.307000000000002
verified: no, type: ndcg_at_10
value: 42.559999999999995
verified: no, type: ndcg_at_100
value: 47.457
verified: no, type: ndcg_at_1000
value: 49.162
verified: no, type: ndcg_at_3
value: 36.461
verified: no, type: ndcg_at_5
value: 39.504
verified: no, type: precision_at_1
value: 25.307000000000002
verified: no, type: precision_at_10
value: 6.106
verified: no, type: precision_at_100
value: 0.8420000000000001
verified: no, type: precision_at_1000
value: 0.098
verified: no, type: precision_at_3
value: 14.741999999999999
verified: no, type: precision_at_5
value: 10.319
verified: no, type: recall_at_1
value: 25.307000000000002
verified: no, type: recall_at_10
value: 61.056999999999995
verified: no, type: recall_at_100
value: 84.152
verified: no, type: recall_at_1000
value: 98.03399999999999
verified: no, type: recall_at_3
value: 44.226
verified: no, type: recall_at_5
value: 51.597
verified: no
task: type: Retrieval, dataset: config: fr
name: MTEB OpusparcusPC (fr)
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
split: test
type: GEM/opusparcus
metrics: type: cos_sim_accuracy
value: 99.90069513406156
verified: no, type: cos_sim_ap
value: 100
verified: no, type: cos_sim_f1
value: 99.95032290114257
verified: no, type: cos_sim_precision
value: 100
verified: no, type: cos_sim_recall
value: 99.90069513406156
verified: no, type: dot_accuracy
value: 99.90069513406156
verified: no, type: dot_ap
value: 100
verified: no, type: dot_f1
value: 99.95032290114257
verified: no, type: dot_precision
value: 100
verified: no, type: dot_recall
value: 99.90069513406156
verified: no, type: euclidean_accuracy
value: 99.90069513406156
verified: no, type: euclidean_ap
value: 100
verified: no, type: euclidean_f1
value: 99.95032290114257
verified: no, type: euclidean_precision
value: 100
verified: no, type: euclidean_recall
value: 99.90069513406156
verified: no, type: manhattan_accuracy
value: 99.90069513406156
verified: no, type: manhattan_ap
value: 100
verified: no, type: manhattan_f1
value: 99.95032290114257
verified: no, type: manhattan_precision
value: 100
verified: no, type: manhattan_recall
value: 99.90069513406156
verified: no, type: max_accuracy
value: 99.90069513406156
verified: no, type: max_ap
value: 100
verified: no, type: max_f1
value: 99.95032290114257
verified: no
task: type: PairClassification, dataset: config: fr
name: MTEB PawsX (fr)
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
split: test
type: paws-x
metrics: type: cos_sim_accuracy
value: 70.8
verified: no, type: cos_sim_ap
value: 73.7671529695957
verified: no, type: cos_sim_f1
value: 68.80964339527875
verified: no, type: cos_sim_precision
value: 62.95955882352941
verified: no, type: cos_sim_recall
value: 75.85825027685493
verified: no, type: dot_accuracy
value: 70.8
verified: no, type: dot_ap
value: 73.78345265366947
verified: no, type: dot_f1
value: 68.80964339527875
verified: no, type: dot_precision
value: 62.95955882352941
verified: no, type: dot_recall
value: 75.85825027685493
verified: no, type: euclidean_accuracy
value: 70.8
verified: no, type: euclidean_ap
value: 73.7671529695957
verified: no, type: euclidean_f1
value: 68.80964339527875
verified: no, type: euclidean_precision
value: 62.95955882352941
verified: no, type: euclidean_recall
value: 75.85825027685493
verified: no, type: manhattan_accuracy
value: 70.75
verified: no, type: manhattan_ap
value: 73.78996383615953
verified: no, type: manhattan_f1
value: 68.79432624113475
verified: no, type: manhattan_precision
value: 63.39869281045751
verified: no, type: manhattan_recall
value: 75.1937984496124
verified: no, type: max_accuracy
value: 70.8
verified: no, type: max_ap
value: 73.78996383615953
verified: no, type: max_f1
value: 68.80964339527875
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB SICKFr
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
split: test
type: Lajavaness/SICK-fr
metrics: type: cos_sim_pearson
value: 84.03253762760392
verified: no, type: cos_sim_spearman
value: 79.68280105762004
verified: no, type: euclidean_pearson
value: 80.98265050044444
verified: no, type: euclidean_spearman
value: 79.68233242682867
verified: no, type: manhattan_pearson
value: 80.9678911810704
verified: no, type: manhattan_spearman
value: 79.70264097683109
verified: no
task: type: STS, dataset: config: fr
name: MTEB STS22 (fr)
revision: eea2b4fe26a775864c896887d910b76a8098ad3f
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cos_sim_pearson
value: 80.56896987572884
verified: no, type: cos_sim_spearman
value: 81.84352499523287
verified: no, type: euclidean_pearson
value: 80.40831759421305
verified: no, type: euclidean_spearman
value: 81.84352499523287
verified: no, type: manhattan_pearson
value: 80.74333857561238
verified: no, type: manhattan_spearman
value: 82.41503246733892
verified: no
task: type: STS, dataset: config: fr
name: MTEB STSBenchmarkMultilingualSTS (fr)
revision: 93d57ef91790589e3ce9c365164337a8a78b7632
split: test
type: stsb_multi_mt
metrics: type: cos_sim_pearson
value: 82.71826762276979
verified: no, type: cos_sim_spearman
value: 82.25433354916042
verified: no, type: euclidean_pearson
value: 81.87115571724316
verified: no, type: euclidean_spearman
value: 82.25322342890107
verified: no, type: manhattan_pearson
value: 82.11174867527224
verified: no, type: manhattan_spearman
value: 82.55905365203084
verified: no
task: type: STS, dataset: config: default
name: MTEB SummEvalFr
revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
split: test
type: lyon-nlp/summarization-summeval-fr-p2p
metrics: type: cos_sim_pearson
value: 30.659441623392887
verified: no, type: cos_sim_spearman
value: 30.501134097353315
verified: no, type: dot_pearson
value: 30.659444768851056
verified: no, type: dot_spearman
value: 30.501134097353315
verified: no
task: type: Summarization, dataset: config: default
name: MTEB SyntecReranking
revision: b205c5084a0934ce8af14338bf03feb19499c84d
split: test
type: lyon-nlp/mteb-fr-reranking-syntec-s2p
metrics: type: map
value: 94.03333333333333
verified: no, type: mrr
value: 94.03333333333333
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SyntecRetrieval
revision: 77f7e271bf4a92b24fce5119f3486b583ca016ff
split: test
type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
metrics: type: map_at_1
value: 79
verified: no, type: map_at_10
value: 87.61
verified: no, type: map_at_100
value: 87.655
verified: no, type: map_at_1000
value: 87.655
verified: no, type: map_at_3
value: 87.167
verified: no, type: map_at_5
value: 87.36699999999999
verified: no, type: mrr_at_1
value: 79
verified: no, type: mrr_at_10
value: 87.61
verified: no, type: mrr_at_100
value: 87.655
verified: no, type: mrr_at_1000
value: 87.655
verified: no, type: mrr_at_3
value: 87.167
verified: no, type: mrr_at_5
value: 87.36699999999999
verified: no, type: ndcg_at_1
value: 79
verified: no, type: ndcg_at_10
value: 90.473
verified: no, type: ndcg_at_100
value: 90.694
verified: no, type: ndcg_at_1000
value: 90.694
verified: no, type: ndcg_at_3
value: 89.464
verified: no, type: ndcg_at_5
value: 89.851
verified: no, type: precision_at_1
value: 79
verified: no, type: precision_at_10
value: 9.9
verified: no, type: precision_at_100
value: 1
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_3
value: 32
verified: no, type: precision_at_5
value: 19.400000000000002
verified: no, type: recall_at_1
value: 79
verified: no, type: recall_at_10
value: 99
verified: no, type: recall_at_100
value: 100
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_3
value: 96
verified: no, type: recall_at_5
value: 97
verified: no
task: type: Retrieval, dataset: config: fr
name: MTEB XPQARetrieval (fr)
revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
split: test
type: jinaai/xpqa
metrics: type: map_at_1
value: 39.395
verified: no, type: map_at_10
value: 59.123999999999995
verified: no, type: map_at_100
value: 60.704
verified: no, type: map_at_1000
value: 60.760000000000005
verified: no, type: map_at_3
value: 53.187
verified: no, type: map_at_5
value: 56.863
verified: no, type: mrr_at_1
value: 62.083
verified: no, type: mrr_at_10
value: 68.87299999999999
verified: no, type: mrr_at_100
value: 69.46900000000001
verified: no, type: mrr_at_1000
value: 69.48299999999999
verified: no, type: mrr_at_3
value: 66.8
verified: no, type: mrr_at_5
value: 67.928
verified: no, type: ndcg_at_1
value: 62.083
verified: no, type: ndcg_at_10
value: 65.583
verified: no, type: ndcg_at_100
value: 70.918
verified: no, type: ndcg_at_1000
value: 71.72800000000001
verified: no, type: ndcg_at_3
value: 60.428000000000004
verified: no, type: ndcg_at_5
value: 61.853
verified: no, type: precision_at_1
value: 62.083
verified: no, type: precision_at_10
value: 15.033
verified: no, type: precision_at_100
value: 1.9529999999999998
verified: no, type: precision_at_1000
value: 0.207
verified: no, type: precision_at_3
value: 36.315
verified: no, type: precision_at_5
value: 25.955000000000002
verified: no, type: recall_at_1
value: 39.395
verified: no, type: recall_at_10
value: 74.332
verified: no, type: recall_at_100
value: 94.729
verified: no, type: recall_at_1000
value: 99.75500000000001
verified: no, type: recall_at_3
value: 57.679
verified: no, type: recall_at_5
value: 65.036
verified: no
task: type: Retrieval
Likes: 225 | All-time downloads: 2957507
Created: 2024-06-29 08:02:40