---
license: mit
model-index:
- name: KaLM-Embedding
results:
- dataset:
config: en-ext
name: MTEB AmazonCounterfactualClassification (en-ext)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics:
- type: accuracy
value: 94.35532233883059
- type: ap
value: 60.40219300665376
- type: ap_weighted
value: 60.40219300665376
- type: f1
value: 86.52001470357649
- type: f1_weighted
value: 94.65531755022661
- type: main_score
value: 94.35532233883059
task:
type: Classification
- dataset:
config: en
name: MTEB AmazonCounterfactualClassification (en)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics:
- type: accuracy
value: 91.71641791044776
- type: ap
value: 68.4050364584575
- type: ap_weighted
value: 68.4050364584575
- type: f1
value: 87.91854774634491
- type: f1_weighted
value: 92.0430596057422
- type: main_score
value: 91.71641791044776
task:
type: Classification
- dataset:
config: default
name: MTEB AmazonPolarityClassification
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
split: test
type: mteb/amazon_polarity
metrics:
- type: accuracy
value: 96.49945000000001
- type: ap
value: 94.97348227456295
- type: ap_weighted
value: 94.97348227456295
- type: f1
value: 96.49855824500423
- type: f1_weighted
value: 96.49855824500422
- type: main_score
value: 96.49945000000001
task:
type: Classification
- dataset:
config: en
name: MTEB AmazonReviewsClassification (en)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics:
- type: accuracy
value: 61.242
- type: f1
value: 59.353696237560094
- type: f1_weighted
value: 59.35369623756011
- type: main_score
value: 61.242
task:
type: Classification
- dataset:
config: default
name: MTEB ArguAna
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
split: test
type: mteb/arguana
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- type: map_at_100
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- type: recall_at_1
value: 31.080999999999996
- type: recall_at_10
value: 85.775
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- type: recall_at_1000
value: 99.644
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task:
type: Retrieval
- dataset:
config: default
name: MTEB ArxivClusteringP2P
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
split: test
type: mteb/arxiv-clustering-p2p
metrics:
- type: main_score
value: 48.009758343820856
- type: v_measure
value: 48.009758343820856
- type: v_measure_std
value: 14.203651443985635
task:
type: Clustering
- dataset:
config: default
name: MTEB ArxivClusteringS2S
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
split: test
type: mteb/arxiv-clustering-s2s
metrics:
- type: main_score
value: 39.401811401341035
- type: v_measure
value: 39.401811401341035
- type: v_measure_std
value: 14.736655369522248
task:
type: Clustering
- dataset:
config: default
name: MTEB AskUbuntuDupQuestions
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
split: test
type: mteb/askubuntudupquestions-reranking
metrics:
- type: main_score
value: 60.158996366210474
- type: map
value: 60.158996366210474
- type: mrr
value: 74.69034428175702
- type: nAUC_map_diff1
value: 7.7660414737755605
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value: 20.377348037855818
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value: 18.290516035806565
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value: 10.721266751736124
- type: nAUC_mrr_max
value: 31.3686330442438
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value: 19.240868443170196
task:
type: Reranking
- dataset:
config: default
name: MTEB BIOSSES
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
split: test
type: mteb/biosses-sts
metrics:
- type: cosine_pearson
value: 87.53887478826596
- type: cosine_spearman
value: 86.32606338345799
- type: euclidean_pearson
value: 86.76233071291158
- type: euclidean_spearman
value: 86.32606338345799
- type: main_score
value: 86.32606338345799
- type: manhattan_pearson
value: 86.05455915524152
- type: manhattan_spearman
value: 85.8868967502423
- type: pearson
value: 87.53887478826596
- type: spearman
value: 86.32606338345799
task:
type: STS
- dataset:
config: default
name: MTEB Banking77Classification
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
split: test
type: mteb/banking77
metrics:
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value: 84.92857142857144
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value: 84.30505630131526
- type: f1_weighted
value: 84.30505630131528
- type: main_score
value: 84.92857142857144
task:
type: Classification
- dataset:
config: default
name: MTEB BiorxivClusteringP2P
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
split: test
type: mteb/biorxiv-clustering-p2p
metrics:
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value: 40.014867273983484
- type: v_measure
value: 40.014867273983484
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task:
type: Clustering
- dataset:
config: default
name: MTEB BiorxivClusteringS2S
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
split: test
type: mteb/biorxiv-clustering-s2s
metrics:
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value: 33.79424302438114
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value: 33.79424302438114
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task:
type: Clustering
- dataset:
config: default
name: MTEB CQADupstackAndroidRetrieval
revision: f46a197baaae43b4f621051089b82a364682dfeb
split: test
type: mteb/cqadupstack-android
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task:
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config: default
name: MTEB CQADupstackRetrieval
revision: CQADupstackRetrieval_is_a_combined_dataset
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task:
type: Retrieval
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config: en
name: MTEB MTOPDomainClassification (en)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics:
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value: 97.58495129362304
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value: 97.57637938896491
task:
type: Classification
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config: en
name: MTEB MTOPIntentClassification (en)
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
split: test
type: mteb/mtop_intent
metrics:
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value: 86.08071135430917
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value: 60.67695519910473
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value: 86.22253292076088
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value: 86.08071135430917
task:
type: Classification
- dataset:
config: en
name: MTEB MassiveIntentClassification (en)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics:
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value: 71.84595519829237
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value: 73.7724380212837
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value: 74.9394754539341
task:
type: Classification
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config: en
name: MTEB MassiveScenarioClassification (en)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics:
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task:
type: Classification
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config: default
name: MTEB MedrxivClusteringP2P
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
split: test
type: mteb/medrxiv-clustering-p2p
metrics:
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task:
type: Clustering
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config: default
name: MTEB MedrxivClusteringS2S
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
split: test
type: mteb/medrxiv-clustering-s2s
metrics:
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value: 32.701317380058356
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task:
type: Clustering
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config: default
name: MTEB MindSmallReranking
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
split: test
type: mteb/mind_small
metrics:
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task:
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config: default
name: MTEB NFCorpus
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
split: test
type: mteb/nfcorpus
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task:
type: Retrieval
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config: default
name: MTEB NQ
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
split: test
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value: 13.26933896316366
- type: nauc_recall_at_10_max
value: 29.38186602785486
- type: nauc_recall_at_10_std
value: 20.275621953504526
- type: nauc_recall_at_1_diff1
value: 21.421764472532455
- type: nauc_recall_at_1_max
value: 22.406495947870948
- type: nauc_recall_at_1_std
value: 7.278461750059741
- type: nauc_recall_at_20_diff1
value: 12.570312459960123
- type: nauc_recall_at_20_max
value: 27.709620758158497
- type: nauc_recall_at_20_std
value: 23.607200666051515
- type: nauc_recall_at_3_diff1
value: 17.403838471827413
- type: nauc_recall_at_3_max
value: 30.03567479942994
- type: nauc_recall_at_3_std
value: 10.168877039526405
- type: nauc_recall_at_5_diff1
value: 14.617283448905278
- type: nauc_recall_at_5_max
value: 31.260794318671316
- type: nauc_recall_at_5_std
value: 15.292480271424239
- type: ndcg_at_1
value: 24.0
- type: ndcg_at_10
value: 20.429
- type: ndcg_at_100
value: 28.327999999999996
- type: ndcg_at_1000
value: 33.489999999999995
- type: ndcg_at_20
value: 23.236
- type: ndcg_at_3
value: 19.36
- type: ndcg_at_5
value: 16.866
- type: precision_at_1
value: 24.0
- type: precision_at_10
value: 10.58
- type: precision_at_100
value: 2.196
- type: precision_at_1000
value: 0.344
- type: precision_at_20
value: 6.9
- type: precision_at_3
value: 17.967
- type: precision_at_5
value: 14.74
- type: recall_at_1
value: 4.868
- type: recall_at_10
value: 21.47
- type: recall_at_100
value: 44.622
- type: recall_at_1000
value: 69.777
- type: recall_at_20
value: 28.028
- type: recall_at_3
value: 10.933
- type: recall_at_5
value: 14.948
task:
type: Retrieval
- dataset:
config: default
name: MTEB SICK-R
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
split: test
type: mteb/sickr-sts
metrics:
- type: cosine_pearson
value: 83.56937382314794
- type: cosine_spearman
value: 79.63245426461405
- type: euclidean_pearson
value: 81.23038281326936
- type: euclidean_spearman
value: 79.63246287500021
- type: main_score
value: 79.63245426461405
- type: manhattan_pearson
value: 81.22715334724163
- type: manhattan_spearman
value: 79.47235517811446
- type: pearson
value: 83.56937382314794
- type: spearman
value: 79.63245426461405
task:
type: STS
- dataset:
config: default
name: MTEB STS12
revision: a0d554a64d88156834ff5ae9920b964011b16384
split: test
type: mteb/sts12-sts
metrics:
- type: cosine_pearson
value: 87.94074172378106
- type: cosine_spearman
value: 81.49535893255212
- type: euclidean_pearson
value: 85.67127466141365
- type: euclidean_spearman
value: 81.49519105826656
- type: main_score
value: 81.49535893255212
- type: manhattan_pearson
value: 85.7939378777207
- type: manhattan_spearman
value: 81.68788285150019
- type: pearson
value: 87.94074172378106
- type: spearman
value: 81.49535893255212
task:
type: STS
- dataset:
config: default
name: MTEB STS13
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
split: test
type: mteb/sts13-sts
metrics:
- type: cosine_pearson
value: 83.13868249088958
- type: cosine_spearman
value: 84.49255715794354
- type: euclidean_pearson
value: 83.94702761019037
- type: euclidean_spearman
value: 84.49261181536836
- type: main_score
value: 84.49255715794354
- type: manhattan_pearson
value: 84.05461037469608
- type: manhattan_spearman
value: 84.58504951653568
- type: pearson
value: 83.13868249088958
- type: spearman
value: 84.49255715794354
task:
type: STS
- dataset:
config: default
name: MTEB STS14
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
split: test
type: mteb/sts14-sts
metrics:
- type: cosine_pearson
value: 80.86639951141099
- type: cosine_spearman
value: 80.05601661201852
- type: euclidean_pearson
value: 80.97495767233256
- type: euclidean_spearman
value: 80.05600716279979
- type: main_score
value: 80.05601661201852
- type: manhattan_pearson
value: 80.68673997093622
- type: manhattan_spearman
value: 79.895855702411
- type: pearson
value: 80.86639951141099
- type: spearman
value: 80.05601661201852
task:
type: STS
- dataset:
config: default
name: MTEB STS15
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
split: test
type: mteb/sts15-sts
metrics:
- type: cosine_pearson
value: 84.13791770600066
- type: cosine_spearman
value: 86.54345663501209
- type: euclidean_pearson
value: 85.62978165451675
- type: euclidean_spearman
value: 86.54346234593214
- type: main_score
value: 86.54345663501209
- type: manhattan_pearson
value: 85.3032964455555
- type: manhattan_spearman
value: 86.30088652823572
- type: pearson
value: 84.13791770600066
- type: spearman
value: 86.54345663501209
task:
type: STS
- dataset:
config: default
name: MTEB STS16
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
split: test
type: mteb/sts16-sts
metrics:
- type: cosine_pearson
value: 84.40315982722548
- type: cosine_spearman
value: 85.40751435377788
- type: euclidean_pearson
value: 84.35271010578505
- type: euclidean_spearman
value: 85.40751373941698
- type: main_score
value: 85.40751435377788
- type: manhattan_pearson
value: 84.17785174793401
- type: manhattan_spearman
value: 85.23156904732424
- type: pearson
value: 84.40315982722548
- type: spearman
value: 85.40751435377788
task:
type: STS
- dataset:
config: en-ar
name: MTEB STS17 (en-ar)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics:
- type: cosine_pearson
value: 59.98924365555529
- type: cosine_spearman
value: 60.12821686053337
- type: euclidean_pearson
value: 60.90431312863765
- type: euclidean_spearman
value: 60.12821686053337
- type: main_score
value: 60.12821686053337
- type: manhattan_pearson
value: 59.05369093717122
- type: manhattan_spearman
value: 57.65837693471568
- type: pearson
value: 59.98924365555529
- type: spearman
value: 60.12821686053337
task:
type: STS
- dataset:
config: en-de
name: MTEB STS17 (en-de)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics:
- type: cosine_pearson
value: 74.95271349225828
- type: cosine_spearman
value: 75.43839974308261
- type: euclidean_pearson
value: 75.68179466828151
- type: euclidean_spearman
value: 75.43839974308261
- type: main_score
value: 75.43839974308261
- type: manhattan_pearson
value: 75.4848070012919
- type: manhattan_spearman
value: 74.92507658877852
- type: pearson
value: 74.95271349225828
- type: spearman
value: 75.43839974308261
task:
type: STS
- dataset:
config: en-en
name: MTEB STS17 (en-en)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics:
- type: cosine_pearson
value: 86.18555151297676
- type: cosine_spearman
value: 86.40304228488033
- type: euclidean_pearson
value: 86.8788548303146
- type: euclidean_spearman
value: 86.40304228488033
- type: main_score
value: 86.40304228488033
- type: manhattan_pearson
value: 86.79312171236047
- type: manhattan_spearman
value: 86.26008520753594
- type: pearson
value: 86.18555151297676
- type: spearman
value: 86.40304228488033
task:
type: STS
- dataset:
config: en-tr
name: MTEB STS17 (en-tr)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics:
- type: cosine_pearson
value: 54.99479996647493
- type: cosine_spearman
value: 53.67766339389046
- type: euclidean_pearson
value: 55.32473081178422
- type: euclidean_spearman
value: 53.67766339389046
- type: main_score
value: 53.67766339389046
- type: manhattan_pearson
value: 54.66604584985125
- type: manhattan_spearman
value: 52.48322788533404
- type: pearson
value: 54.99479996647493
- type: spearman
value: 53.67766339389046
task:
type: STS
- dataset:
config: es-en
name: MTEB STS17 (es-en)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics:
- type: cosine_pearson
value: 76.65184590191937
- type: cosine_spearman
value: 78.04569100389011
- type: euclidean_pearson
value: 77.11425698246029
- type: euclidean_spearman
value: 78.04569100389011
- type: main_score
value: 78.04569100389011
- type: manhattan_pearson
value: 77.34799982307821
- type: manhattan_spearman
value: 78.22975685912238
- type: pearson
value: 76.65184590191937
- type: spearman
value: 78.04569100389011
task:
type: STS
- dataset:
config: fr-en
name: MTEB STS17 (fr-en)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics:
- type: cosine_pearson
value: 76.30743924244035
- type: cosine_spearman
value: 75.2110676227775
- type: euclidean_pearson
value: 77.10837892816058
- type: euclidean_spearman
value: 75.2110676227775
- type: main_score
value: 75.2110676227775
- type: manhattan_pearson
value: 76.814009334774
- type: manhattan_spearman
value: 74.96159426113054
- type: pearson
value: 76.30743924244035
- type: spearman
value: 75.2110676227775
task:
type: STS
- dataset:
config: it-en
name: MTEB STS17 (it-en)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics:
- type: cosine_pearson
value: 75.11771819741416
- type: cosine_spearman
value: 74.96778304560281
- type: euclidean_pearson
value: 75.56941540554674
- type: euclidean_spearman
value: 74.96778304560281
- type: main_score
value: 74.96778304560281
- type: manhattan_pearson
value: 75.18422319871718
- type: manhattan_spearman
value: 74.45788102060328
- type: pearson
value: 75.11771819741416
- type: spearman
value: 74.96778304560281
task:
type: STS
- dataset:
config: nl-en
name: MTEB STS17 (nl-en)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics:
- type: cosine_pearson
value: 72.42454093118816
- type: cosine_spearman
value: 71.9097547231894
- type: euclidean_pearson
value: 73.04051728705643
- type: euclidean_spearman
value: 71.9097547231894
- type: main_score
value: 71.9097547231894
- type: manhattan_pearson
value: 72.5487755597775
- type: manhattan_spearman
value: 71.080265405627
- type: pearson
value: 72.42454093118816
- type: spearman
value: 71.9097547231894
task:
type: STS
- dataset:
config: en
name: MTEB STS22 (en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
- type: cosine_pearson
value: 69.3881685924264
- type: cosine_spearman
value: 69.37162939123382
- type: euclidean_pearson
value: 70.5377770359738
- type: euclidean_spearman
value: 69.37162939123382
- type: main_score
value: 69.37162939123382
- type: manhattan_pearson
value: 70.86501303890763
- type: manhattan_spearman
value: 69.54018077011284
- type: pearson
value: 69.3881685924264
- type: spearman
value: 69.37162939123382
task:
type: STS
- dataset:
config: de-en
name: MTEB STS22 (de-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
- type: cosine_pearson
value: 64.64985744446284
- type: cosine_spearman
value: 63.89323074678119
- type: euclidean_pearson
value: 66.9623010036117
- type: euclidean_spearman
value: 63.89323074678119
- type: main_score
value: 63.89323074678119
- type: manhattan_pearson
value: 68.60076281156398
- type: manhattan_spearman
value: 64.80183430943912
- type: pearson
value: 64.64985744446284
- type: spearman
value: 63.89323074678119
task:
type: STS
- dataset:
config: es-en
name: MTEB STS22 (es-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
- type: cosine_pearson
value: 78.95094282575697
- type: cosine_spearman
value: 80.66341954222823
- type: euclidean_pearson
value: 79.7677956183949
- type: euclidean_spearman
value: 80.66341954222823
- type: main_score
value: 80.66341954222823
- type: manhattan_pearson
value: 81.52201735972797
- type: manhattan_spearman
value: 81.65309541429473
- type: pearson
value: 78.95094282575697
- type: spearman
value: 80.66341954222823
task:
type: STS
- dataset:
config: pl-en
name: MTEB STS22 (pl-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
- type: cosine_pearson
value: 77.99167158750629
- type: cosine_spearman
value: 77.00326330683939
- type: euclidean_pearson
value: 77.60571751826936
- type: euclidean_spearman
value: 77.00326330683939
- type: main_score
value: 77.00326330683939
- type: manhattan_pearson
value: 78.19839585217989
- type: manhattan_spearman
value: 78.44894390841364
- type: pearson
value: 77.99167158750629
- type: spearman
value: 77.00326330683939
task:
type: STS
- dataset:
config: zh-en
name: MTEB STS22 (zh-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
- type: cosine_pearson
value: 77.21035942564082
- type: cosine_spearman
value: 76.57212143103963
- type: euclidean_pearson
value: 78.03973868360728
- type: euclidean_spearman
value: 76.57212143103963
- type: main_score
value: 76.57212143103963
- type: manhattan_pearson
value: 78.16591898142042
- type: manhattan_spearman
value: 76.83958214147293
- type: pearson
value: 77.21035942564082
- type: spearman
value: 76.57212143103963
task:
type: STS
- dataset:
config: default
name: MTEB STSBenchmark
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
split: test
type: mteb/stsbenchmark-sts
metrics:
- type: cosine_pearson
value: 81.21615375003084
- type: cosine_spearman
value: 84.2970803211202
- type: euclidean_pearson
value: 83.54765755364517
- type: euclidean_spearman
value: 84.2970803211202
- type: main_score
value: 84.2970803211202
- type: manhattan_pearson
value: 83.2769664077453
- type: manhattan_spearman
value: 84.09545601307758
- type: pearson
value: 81.21615375003084
- type: spearman
value: 84.2970803211202
task:
type: STS
- dataset:
config: default
name: MTEB SciDocsRR
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
split: test
type: mteb/scidocs-reranking
metrics:
- type: main_score
value: 80.72245608609909
- type: map
value: 80.72245608609909
- type: mrr
value: 94.86804408373035
- type: nAUC_map_diff1
value: 3.565293868431913
- type: nAUC_map_max
value: 53.87118155384518
- type: nAUC_map_std
value: 69.73850807835032
- type: nAUC_mrr_diff1
value: 48.33938058863373
- type: nAUC_mrr_max
value: 82.0796869926262
- type: nAUC_mrr_std
value: 79.20228314778093
task:
type: Reranking
- dataset:
config: default
name: MTEB SciFact
revision: 0228b52cf27578f30900b9e5271d331663a030d7
split: test
type: mteb/scifact
metrics:
- type: main_score
value: 72.604
- type: map_at_1
value: 57.05
- type: map_at_10
value: 68.026
- type: map_at_100
value: 68.54299999999999
- type: map_at_1000
value: 68.56
- type: map_at_20
value: 68.329
- type: map_at_3
value: 65.565
- type: map_at_5
value: 66.81899999999999
- type: mrr_at_1
value: 60.0
- type: mrr_at_10
value: 68.97116402116401
- type: mrr_at_100
value: 69.43171438050388
- type: mrr_at_1000
value: 69.44900642374887
- type: mrr_at_20
value: 69.25799802049801
- type: mrr_at_3
value: 67.11111111111111
- type: mrr_at_5
value: 68.27777777777779
- type: nauc_map_at_1000_diff1
value: 66.45098144160822
- type: nauc_map_at_1000_max
value: 52.26713946112144
- type: nauc_map_at_1000_std
value: -3.2435941711161194
- type: nauc_map_at_100_diff1
value: 66.45069255591629
- type: nauc_map_at_100_max
value: 52.277529223166994
- type: nauc_map_at_100_std
value: -3.236289003540743
- type: nauc_map_at_10_diff1
value: 66.50847900934123
- type: nauc_map_at_10_max
value: 52.56336813799116
- type: nauc_map_at_10_std
value: -3.2225840417202547
- type: nauc_map_at_1_diff1
value: 69.8066007922827
- type: nauc_map_at_1_max
value: 46.19700236373352
- type: nauc_map_at_1_std
value: -11.167127232139137
- type: nauc_map_at_20_diff1
value: 66.49775686319742
- type: nauc_map_at_20_max
value: 52.31488178119375
- type: nauc_map_at_20_std
value: -3.528866881477926
- type: nauc_map_at_3_diff1
value: 67.0124735448113
- type: nauc_map_at_3_max
value: 51.47207513467635
- type: nauc_map_at_3_std
value: -4.688170694240992
- type: nauc_map_at_5_diff1
value: 66.37338579400031
- type: nauc_map_at_5_max
value: 51.03182506884805
- type: nauc_map_at_5_std
value: -4.090110073585303
- type: nauc_mrr_at_1000_diff1
value: 66.13316468798861
- type: nauc_mrr_at_1000_max
value: 53.18661162667272
- type: nauc_mrr_at_1000_std
value: -1.1549432899803578
- type: nauc_mrr_at_100_diff1
value: 66.13308912088833
- type: nauc_mrr_at_100_max
value: 53.196523181344176
- type: nauc_mrr_at_100_std
value: -1.148961396684306
- type: nauc_mrr_at_10_diff1
value: 66.11198414850364
- type: nauc_mrr_at_10_max
value: 53.45434553493992
- type: nauc_mrr_at_10_std
value: -1.0202103385535555
- type: nauc_mrr_at_1_diff1
value: 69.18818640546156
- type: nauc_mrr_at_1_max
value: 50.224102107450285
- type: nauc_mrr_at_1_std
value: -4.4508756307510104
- type: nauc_mrr_at_20_diff1
value: 66.12038286624204
- type: nauc_mrr_at_20_max
value: 53.23900442821744
- type: nauc_mrr_at_20_std
value: -1.3453691424031584
- type: nauc_mrr_at_3_diff1
value: 66.23482655095762
- type: nauc_mrr_at_3_max
value: 53.519304370411625
- type: nauc_mrr_at_3_std
value: -1.0512555098049736
- type: nauc_mrr_at_5_diff1
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task:
type: Retrieval
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config: default
name: MTEB SprintDuplicateQuestions
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
split: test
type: mteb/sprintduplicatequestions-pairclassification
metrics:
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- type: dot_recall
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task:
type: PairClassification
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config: default
name: MTEB StackExchangeClustering
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
split: test
type: mteb/stackexchange-clustering
metrics:
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value: 65.93583959980214
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task:
type: Clustering
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config: default
name: MTEB StackExchangeClusteringP2P
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
split: test
type: mteb/stackexchange-clustering-p2p
metrics:
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value: 35.594885571404724
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task:
type: Clustering
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config: default
name: MTEB StackOverflowDupQuestions
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
split: test
type: mteb/stackoverflowdupquestions-reranking
metrics:
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task:
type: Reranking
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config: default
name: MTEB SummEval
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
split: test
type: mteb/summeval
metrics:
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task:
type: Summarization
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config: default
name: MTEB TRECCOVID
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
split: test
type: mteb/trec-covid
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task:
type: Retrieval
- dataset:
config: default
name: MTEB Touche2020
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
split: test
type: mteb/touche2020
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value: 15.210234895525055
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value: -30.20253332454299
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value: -19.986130369906242
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value: 40.816
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value: 42.742000000000004
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value: 53.230999999999995
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value: 31.057000000000002
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value: 34.382000000000005
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value: 32.038
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value: 44.897999999999996
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value: 27.143
- type: precision_at_100
value: 8.735
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value: 1.59
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value: 19.898
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value: 34.694
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value: 3.4070000000000005
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value: 19.987
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value: 52.888999999999996
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value: 85.172
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value: 27.025
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value: 7.774
- type: recall_at_5
value: 11.571
task:
type: Retrieval
- dataset:
config: default
name: MTEB ToxicConversationsClassification
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
split: test
type: mteb/toxic_conversations_50k
metrics:
- type: accuracy
value: 89.0380859375
- type: ap
value: 34.26536468203791
- type: ap_weighted
value: 34.26536468203791
- type: f1
value: 73.86921962038298
- type: f1_weighted
value: 90.61132302248866
- type: main_score
value: 89.0380859375
task:
type: Classification
- dataset:
config: default
name: MTEB TweetSentimentExtractionClassification
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
split: test
type: mteb/tweet_sentiment_extraction
metrics:
- type: accuracy
value: 76.49405772495754
- type: f1
value: 76.73610452546936
- type: f1_weighted
value: 76.14362047024868
- type: main_score
value: 76.49405772495754
task:
type: Classification
- dataset:
config: default
name: MTEB TwentyNewsgroupsClustering
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
split: test
type: mteb/twentynewsgroups-clustering
metrics:
- type: main_score
value: 49.554702818248735
- type: v_measure
value: 49.554702818248735
- type: v_measure_std
value: 0.9278298624304031
task:
type: Clustering
- dataset:
config: default
name: MTEB TwitterSemEval2015
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
split: test
type: mteb/twittersemeval2015-pairclassification
metrics:
- type: cosine_accuracy
value: 85.29534481730941
- type: cosine_accuracy_threshold
value: 90.6567394733429
- type: cosine_ap
value: 71.59976408272617
- type: cosine_f1
value: 66.54452180285818
- type: cosine_f1_threshold
value: 88.94971013069153
- type: cosine_precision
value: 61.95133045258131
- type: cosine_recall
value: 71.87335092348285
- type: dot_accuracy
value: 85.29534481730941
- type: dot_accuracy_threshold
value: 90.65674543380737
- type: dot_ap
value: 71.5997871796046
- type: dot_f1
value: 66.54452180285818
- type: dot_f1_threshold
value: 88.94971013069153
- type: dot_precision
value: 61.95133045258131
- type: dot_recall
value: 71.87335092348285
- type: euclidean_accuracy
value: 85.29534481730941
- type: euclidean_accuracy_threshold
value: 43.2279109954834
- type: euclidean_ap
value: 71.59977967634174
- type: euclidean_f1
value: 66.54452180285818
- type: euclidean_f1_threshold
value: 47.01125621795654
- type: euclidean_precision
value: 61.95133045258131
- type: euclidean_recall
value: 71.87335092348285
- type: main_score
value: 71.5997871796046
- type: manhattan_accuracy
value: 85.1820945341837
- type: manhattan_accuracy_threshold
value: 1019.9851989746094
- type: manhattan_ap
value: 71.22149639016482
- type: manhattan_f1
value: 66.31834750911301
- type: manhattan_f1_threshold
value: 1109.6149444580078
- type: manhattan_precision
value: 61.46396396396396
- type: manhattan_recall
value: 72.00527704485488
- type: max_ap
value: 71.5997871796046
- type: max_f1
value: 66.54452180285818
- type: max_precision
value: 61.95133045258131
- type: max_recall
value: 72.00527704485488
- type: similarity_accuracy
value: 85.29534481730941
- type: similarity_accuracy_threshold
value: 90.6567394733429
- type: similarity_ap
value: 71.59976408272617
- type: similarity_f1
value: 66.54452180285818
- type: similarity_f1_threshold
value: 88.94971013069153
- type: similarity_precision
value: 61.95133045258131
- type: similarity_recall
value: 71.87335092348285
task:
type: PairClassification
- dataset:
config: default
name: MTEB TwitterURLCorpus
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
split: test
type: mteb/twitterurlcorpus-pairclassification
metrics:
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value: 89.19936352699189
- type: cosine_accuracy_threshold
value: 87.72701621055603
- type: cosine_ap
value: 86.32764736710979
- type: cosine_f1
value: 78.40269966254218
- type: cosine_f1_threshold
value: 86.80565357208252
- type: cosine_precision
value: 76.41426692004093
- type: cosine_recall
value: 80.49738219895288
- type: dot_accuracy
value: 89.19936352699189
- type: dot_accuracy_threshold
value: 87.72701621055603
- type: dot_ap
value: 86.32762879051161
- type: dot_f1
value: 78.40269966254218
- type: dot_f1_threshold
value: 86.80565357208252
- type: dot_precision
value: 76.41426692004093
- type: dot_recall
value: 80.49738219895288
- type: euclidean_accuracy
value: 89.19936352699189
- type: euclidean_accuracy_threshold
value: 49.54388439655304
- type: euclidean_ap
value: 86.3276630523782
- type: euclidean_f1
value: 78.40269966254218
- type: euclidean_f1_threshold
value: 51.36992931365967
- type: euclidean_precision
value: 76.41426692004093
- type: euclidean_recall
value: 80.49738219895288
- type: main_score
value: 86.3276630523782
- type: manhattan_accuracy
value: 89.16637559669344
- type: manhattan_accuracy_threshold
value: 1150.1700401306152
- type: manhattan_ap
value: 86.28674414277404
- type: manhattan_f1
value: 78.34183768482997
- type: manhattan_f1_threshold
value: 1213.088321685791
- type: manhattan_precision
value: 75.87475651107424
- type: manhattan_recall
value: 80.97474591931014
- type: max_ap
value: 86.3276630523782
- type: max_f1
value: 78.40269966254218
- type: max_precision
value: 76.41426692004093
- type: max_recall
value: 80.97474591931014
- type: similarity_accuracy
value: 89.19936352699189
- type: similarity_accuracy_threshold
value: 87.72701621055603
- type: similarity_ap
value: 86.32764736710979
- type: similarity_f1
value: 78.40269966254218
- type: similarity_f1_threshold
value: 86.80565357208252
- type: similarity_precision
value: 76.41426692004093
- type: similarity_recall
value: 80.49738219895288
task:
type: PairClassification
- dataset:
config: default
name: MTEB AFQMC
revision: b44c3b011063adb25877c13823db83bb193913c4
split: validation
type: C-MTEB/AFQMC
metrics:
- type: cosine_pearson
value: 38.59465613249044
- type: cosine_spearman
value: 39.876884773191065
- type: euclidean_pearson
value: 38.370163017159996
- type: euclidean_spearman
value: 39.87692498028858
- type: main_score
value: 39.876884773191065
- type: manhattan_pearson
value: 38.058013850119785
- type: manhattan_spearman
value: 39.531271872106856
- type: pearson
value: 38.59465613249044
- type: spearman
value: 39.876884773191065
task:
type: STS
- dataset:
config: default
name: MTEB ATEC
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
split: test
type: C-MTEB/ATEC
metrics:
- type: cosine_pearson
value: 46.457799031090666
- type: cosine_spearman
value: 47.170032935367935
- type: euclidean_pearson
value: 49.399858337266004
- type: euclidean_spearman
value: 47.17003293450119
- type: main_score
value: 47.170032935367935
- type: manhattan_pearson
value: 49.19428772786887
- type: manhattan_spearman
value: 46.94649743167009
- type: pearson
value: 46.457799031090666
- type: spearman
value: 47.170032935367935
task:
type: STS
- dataset:
config: zh
name: MTEB AmazonReviewsClassification (zh)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics:
- type: accuracy
value: 50.246
- type: f1
value: 45.84988588370862
- type: f1_weighted
value: 45.84988588370862
- type: main_score
value: 50.246
task:
type: Classification
- dataset:
config: default
name: MTEB BQ
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
split: test
type: C-MTEB/BQ
metrics:
- type: cosine_pearson
value: 53.67950003884396
- type: cosine_spearman
value: 54.36088598761955
- type: euclidean_pearson
value: 53.09394654913335
- type: euclidean_spearman
value: 54.36088252221325
- type: main_score
value: 54.36088598761955
- type: manhattan_pearson
value: 52.805415867146955
- type: manhattan_spearman
value: 54.06705049402532
- type: pearson
value: 53.67950003884396
- type: spearman
value: 54.36088598761955
task:
type: STS
- dataset:
config: default
name: MTEB CLSClusteringP2P
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
split: test
type: C-MTEB/CLSClusteringP2P
metrics:
- type: main_score
value: 41.608876653105966
- type: v_measure
value: 41.608876653105966
- type: v_measure_std
value: 1.0624705258546963
task:
type: Clustering
- dataset:
config: default
name: MTEB CLSClusteringS2S
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
split: test
type: C-MTEB/CLSClusteringS2S
metrics:
- type: main_score
value: 39.7110966049789
- type: v_measure
value: 39.7110966049789
- type: v_measure_std
value: 0.875231943450341
task:
type: Clustering
- dataset:
config: default
name: MTEB CMedQAv1
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
split: test
type: C-MTEB/CMedQAv1-reranking
metrics:
- type: main_score
value: 81.7193302624052
- type: map
value: 81.7193302624052
- type: mrr
value: 84.58841269841271
- type: nAUC_map_diff1
value: 57.41916975321788
- type: nAUC_map_max
value: 61.409376634272874
- type: nAUC_map_std
value: 28.913154318201233
- type: nAUC_mrr_diff1
value: 64.85350793018186
- type: nAUC_mrr_max
value: 69.46338529223004
- type: nAUC_mrr_std
value: 35.373588518165235
task:
type: Reranking
- dataset:
config: default
name: MTEB CMedQAv2
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
split: test
type: C-MTEB/CMedQAv2-reranking
metrics:
- type: main_score
value: 82.59163356780259
- type: map
value: 82.59163356780259
- type: mrr
value: 85.54900793650792
- type: nAUC_map_diff1
value: 61.10665055831455
- type: nAUC_map_max
value: 60.91441391850925
- type: nAUC_map_std
value: 21.471788062972436
- type: nAUC_mrr_diff1
value: 69.95883630916767
- type: nAUC_mrr_max
value: 71.06959737866757
- type: nAUC_mrr_std
value: 30.819473605657606
task:
type: Reranking
- dataset:
config: default
name: MTEB CmedqaRetrieval
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
split: dev
type: C-MTEB/CmedqaRetrieval
metrics:
- type: main_score
value: 42.631
- type: map_at_1
value: 24.834
- type: map_at_10
value: 36.447
- type: map_at_100
value: 38.04
- type: map_at_1000
value: 38.179
- type: map_at_20
value: 37.281
- type: map_at_3
value: 32.761
- type: map_at_5
value: 34.871
- type: mrr_at_1
value: 38.05951487871968
- type: mrr_at_10
value: 45.57554071057435
- type: mrr_at_100
value: 46.447190120013
- type: mrr_at_1000
value: 46.50606585607273
- type: mrr_at_20
value: 46.057122452003696
- type: mrr_at_3
value: 43.34000166708336
- type: mrr_at_5
value: 44.58531299491537
- type: nauc_map_at_1000_diff1
value: 48.47252945149055
- type: nauc_map_at_1000_max
value: 34.62100533042246
- type: nauc_map_at_1000_std
value: -2.684326419049642
- type: nauc_map_at_100_diff1
value: 48.43175156549248
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name: MTEB Cmnli
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task:
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task:
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name: MTEB DuRetrieval
revision: a1a333e290fe30b10f3f56498e3a0d911a693ced
split: dev
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name: MTEB EcomRetrieval
revision: 687de13dc7294d6fd9be10c6945f9e8fec8166b9
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task:
type: Retrieval
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config: default
name: MTEB IFlyTek
revision: 421605374b29664c5fc098418fe20ada9bd55f8a
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type: C-MTEB/IFlyTek-classification
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revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
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name: MTEB LCQMC
revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
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task:
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task:
type: Reranking
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config: default
name: MTEB MMarcoRetrieval
revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
split: dev
type: C-MTEB/MMarcoRetrieval
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task:
type: Retrieval
- dataset:
config: zh-CN
name: MTEB MassiveIntentClassification (zh-CN)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics:
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task:
type: Classification
- dataset:
config: zh-TW
name: MTEB MassiveIntentClassification (zh-TW)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
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task:
type: Classification
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config: zh-CN
name: MTEB MassiveScenarioClassification (zh-CN)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
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task:
type: Classification
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config: zh-TW
name: MTEB MassiveScenarioClassification (zh-TW)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
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task:
type: Classification
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config: default
name: MTEB MedicalRetrieval
revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
split: dev
type: C-MTEB/MedicalRetrieval
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task:
type: Retrieval
- dataset:
config: default
name: MTEB MultilingualSentiment
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
split: test
type: C-MTEB/MultilingualSentiment-classification
metrics:
- type: accuracy
value: 78.08
- type: f1
value: 77.44308848942492
- type: f1_weighted
value: 77.44308848942492
- type: main_score
value: 78.08
task:
type: Classification
- dataset:
config: default
name: MTEB Ocnli
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
split: validation
type: C-MTEB/OCNLI
metrics:
- type: cosine_accuracy
value: 66.8651867893882
- type: cosine_accuracy_threshold
value: 84.34688448905945
- type: cosine_ap
value: 69.83287846115917
- type: cosine_f1
value: 71.33520074696546
- type: cosine_f1_threshold
value: 83.85992050170898
- type: cosine_precision
value: 63.93305439330545
- type: cosine_recall
value: 80.67581837381204
- type: dot_accuracy
value: 66.8651867893882
- type: dot_accuracy_threshold
value: 84.34690237045288
- type: dot_ap
value: 69.83287846115917
- type: dot_f1
value: 71.33520074696546
- type: dot_f1_threshold
value: 83.85992050170898
- type: dot_precision
value: 63.93305439330545
- type: dot_recall
value: 80.67581837381204
- type: euclidean_accuracy
value: 66.8651867893882
- type: euclidean_accuracy_threshold
value: 55.95196485519409
- type: euclidean_ap
value: 69.83287846115917
- type: euclidean_f1
value: 71.33520074696546
- type: euclidean_f1_threshold
value: 56.81561827659607
- type: euclidean_precision
value: 63.93305439330545
- type: euclidean_recall
value: 80.67581837381204
- type: main_score
value: 69.83287846115917
- type: manhattan_accuracy
value: 66.0530590146183
- type: manhattan_accuracy_threshold
value: 1215.458583831787
- type: manhattan_ap
value: 69.51465499538298
- type: manhattan_f1
value: 70.56159420289853
- type: manhattan_f1_threshold
value: 1344.7942733764648
- type: manhattan_precision
value: 61.77636796193497
- type: manhattan_recall
value: 82.259767687434
- type: max_ap
value: 69.83287846115917
- type: max_f1
value: 71.33520074696546
- type: max_precision
value: 63.93305439330545
- type: max_recall
value: 82.259767687434
- type: similarity_accuracy
value: 66.8651867893882
- type: similarity_accuracy_threshold
value: 84.34688448905945
- type: similarity_ap
value: 69.83287846115917
- type: similarity_f1
value: 71.33520074696546
- type: similarity_f1_threshold
value: 83.85992050170898
- type: similarity_precision
value: 63.93305439330545
- type: similarity_recall
value: 80.67581837381204
task:
type: PairClassification
- dataset:
config: default
name: MTEB OnlineShopping
revision: e610f2ebd179a8fda30ae534c3878750a96db120
split: test
type: C-MTEB/OnlineShopping-classification
metrics:
- type: accuracy
value: 93.66999999999999
- type: ap
value: 92.68160375501351
- type: ap_weighted
value: 92.68160375501351
- type: f1
value: 93.6673524115384
- type: f1_weighted
value: 93.67269842799493
- type: main_score
value: 93.66999999999999
task:
type: Classification
- dataset:
config: default
name: MTEB PAWSX
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
split: test
type: C-MTEB/PAWSX
metrics:
- type: cosine_pearson
value: 14.427978400689973
- type: cosine_spearman
value: 15.182736434509348
- type: euclidean_pearson
value: 17.726048874983753
- type: euclidean_spearman
value: 15.201779286945575
- type: main_score
value: 15.182736434509348
- type: manhattan_pearson
value: 17.715716154164234
- type: manhattan_spearman
value: 15.250986981738777
- type: pearson
value: 14.427978400689973
- type: spearman
value: 15.182736434509348
task:
type: STS
- dataset:
config: default
name: MTEB QBQTC
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
split: test
type: C-MTEB/QBQTC
metrics:
- type: cosine_pearson
value: 28.677852039385687
- type: cosine_spearman
value: 30.317414500566187
- type: euclidean_pearson
value: 28.546943523039168
- type: euclidean_spearman
value: 30.31773442605619
- type: main_score
value: 30.317414500566187
- type: manhattan_pearson
value: 29.06524931618951
- type: manhattan_spearman
value: 30.85475318983088
- type: pearson
value: 28.677852039385687
- type: spearman
value: 30.317414500566187
task:
type: STS
- dataset:
config: zh
name: MTEB STS22 (zh)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
- type: cosine_pearson
value: 74.25169654144152
- type: cosine_spearman
value: 74.02188505990078
- type: euclidean_pearson
value: 71.78459076777199
- type: euclidean_spearman
value: 74.02188505990078
- type: main_score
value: 74.02188505990078
- type: manhattan_pearson
value: 71.38471936226554
- type: manhattan_spearman
value: 73.72453020549669
- type: pearson
value: 74.25169654144152
- type: spearman
value: 74.02188505990078
task:
type: STS
- dataset:
config: zh-en
name: MTEB STS22 (zh-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
- type: cosine_pearson
value: 77.21035942564082
- type: cosine_spearman
value: 76.57212143103963
- type: euclidean_pearson
value: 78.03973868360728
- type: euclidean_spearman
value: 76.57212143103963
- type: main_score
value: 76.57212143103963
- type: manhattan_pearson
value: 78.16591898142042
- type: manhattan_spearman
value: 76.83958214147293
- type: pearson
value: 77.21035942564082
- type: spearman
value: 76.57212143103963
task:
type: STS
- dataset:
config: default
name: MTEB STSB
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
split: test
type: C-MTEB/STSB
metrics:
- type: cosine_pearson
value: 76.73366278962006
- type: cosine_spearman
value: 78.136597096582
- type: euclidean_pearson
value: 77.15227584574502
- type: euclidean_spearman
value: 78.13622498113003
- type: main_score
value: 78.136597096582
- type: manhattan_pearson
value: 77.02225035694117
- type: manhattan_spearman
value: 78.03964720563964
- type: pearson
value: 76.73366278962006
- type: spearman
value: 78.136597096582
task:
type: STS
- dataset:
config: default
name: MTEB T2Reranking
revision: 76631901a18387f85eaa53e5450019b87ad58ef9
split: dev
type: C-MTEB/T2Reranking
metrics:
- type: main_score
value: 66.38154648171584
- type: map
value: 66.38154648171584
- type: mrr
value: 76.14530606871499
- type: nAUC_map_diff1
value: -9.806394737932642
- type: nAUC_map_max
value: 33.96115791248053
- type: nAUC_map_std
value: -3.643316859964786
- type: nAUC_mrr_diff1
value: -6.510263484170889
- type: nAUC_mrr_max
value: 26.441557887574124
- type: nAUC_mrr_std
value: -4.608018494327204
task:
type: Reranking
- dataset:
config: default
name: MTEB T2Retrieval
revision: 8731a845f1bf500a4f111cf1070785c793d10e64
split: dev
type: C-MTEB/T2Retrieval
metrics:
- type: main_score
value: 84.133
- type: map_at_1
value: 27.297
- type: map_at_10
value: 76.494
- type: map_at_100
value: 80.119
- type: map_at_1000
value: 80.185
- type: map_at_20
value: 79.251
- type: map_at_3
value: 53.864999999999995
- type: map_at_5
value: 66.143
- type: mrr_at_1
value: 89.57566193231632
- type: mrr_at_10
value: 92.13000711126722
- type: mrr_at_100
value: 92.21882184581148
- type: mrr_at_1000
value: 92.22214774256558
- type: mrr_at_20
value: 92.18699134744894
- type: mrr_at_3
value: 91.66228300894257
- type: mrr_at_5
value: 91.97264597580231
- type: nauc_map_at_1000_diff1
value: 15.207460819974095
- type: nauc_map_at_1000_max
value: 42.32453165892631
- type: nauc_map_at_1000_std
value: 21.593634336302127
- type: nauc_map_at_100_diff1
value: 15.216272171820561
- type: nauc_map_at_100_max
value: 42.22983840076597
- type: nauc_map_at_100_std
value: 21.534370324932652
- type: nauc_map_at_10_diff1
value: 19.599553856210008
- type: nauc_map_at_10_max
value: 30.246318219245573
- type: nauc_map_at_10_std
value: 5.914404965156733
- type: nauc_map_at_1_diff1
value: 52.87085305237716
- type: nauc_map_at_1_max
value: -24.27989564325726
- type: nauc_map_at_1_std
value: -35.442050298290376
- type: nauc_map_at_20_diff1
value: 15.87998380728732
- type: nauc_map_at_20_max
value: 39.78308211411551
- type: nauc_map_at_20_std
value: 18.241218939315434
- type: nauc_map_at_3_diff1
value: 39.155089053329014
- type: nauc_map_at_3_max
value: -11.970155586820502
- type: nauc_map_at_3_std
value: -31.83333979404834
- type: nauc_map_at_5_diff1
value: 31.43539185744996
- type: nauc_map_at_5_max
value: 3.5586067754503152
- type: nauc_map_at_5_std
value: -20.89939723260621
- type: nauc_mrr_at_1000_diff1
value: 47.58856242843391
- type: nauc_mrr_at_1000_max
value: 73.33044542878086
- type: nauc_mrr_at_1000_std
value: 41.41370720044016
- type: nauc_mrr_at_100_diff1
value: 47.58885589082642
- type: nauc_mrr_at_100_max
value: 73.33895048178488
- type: nauc_mrr_at_100_std
value: 41.42862248729776
- type: nauc_mrr_at_10_diff1
value: 47.60432720674615
- type: nauc_mrr_at_10_max
value: 73.47964069672504
- type: nauc_mrr_at_10_std
value: 41.60604407817306
- type: nauc_mrr_at_1_diff1
value: 47.84195771830615
- type: nauc_mrr_at_1_max
value: 68.95221045759685
- type: nauc_mrr_at_1_std
value: 35.145250281429824
- type: nauc_mrr_at_20_diff1
value: 47.58534671931297
- type: nauc_mrr_at_20_max
value: 73.39618815713096
- type: nauc_mrr_at_20_std
value: 41.50538366605475
- type: nauc_mrr_at_3_diff1
value: 47.54080143480509
- type: nauc_mrr_at_3_max
value: 73.27456449852177
- type: nauc_mrr_at_3_std
value: 41.190010138623364
- type: nauc_mrr_at_5_diff1
value: 47.631799071300314
- type: nauc_mrr_at_5_max
value: 73.50427384392508
- type: nauc_mrr_at_5_std
value: 41.41445819292792
- type: nauc_ndcg_at_1000_diff1
value: 19.178203338132032
- type: nauc_ndcg_at_1000_max
value: 54.846002008332206
- type: nauc_ndcg_at_1000_std
value: 33.669755579706234
- type: nauc_ndcg_at_100_diff1
value: 18.825625578528154
- type: nauc_ndcg_at_100_max
value: 53.96154830438667
- type: nauc_ndcg_at_100_std
value: 33.63879617215427
- type: nauc_ndcg_at_10_diff1
value: 18.95559446945268
- type: nauc_ndcg_at_10_max
value: 44.21334528575739
- type: nauc_ndcg_at_10_std
value: 22.47737214494352
- type: nauc_ndcg_at_1_diff1
value: 47.84195771830615
- type: nauc_ndcg_at_1_max
value: 68.95221045759685
- type: nauc_ndcg_at_1_std
value: 35.145250281429824
- type: nauc_ndcg_at_20_diff1
value: 18.915787332802143
- type: nauc_ndcg_at_20_max
value: 48.64628634208606
- type: nauc_ndcg_at_20_std
value: 27.471901227649102
- type: nauc_ndcg_at_3_diff1
value: 14.800326460175548
- type: nauc_ndcg_at_3_max
value: 58.714123081214986
- type: nauc_ndcg_at_3_std
value: 32.87146819333138
- type: nauc_ndcg_at_5_diff1
value: 15.117887863548916
- type: nauc_ndcg_at_5_max
value: 51.62270126506565
- type: nauc_ndcg_at_5_std
value: 28.21637936542305
- type: nauc_precision_at_1000_diff1
value: -34.6115257538737
- type: nauc_precision_at_1000_max
value: 46.57505454335497
- type: nauc_precision_at_1000_std
value: 58.73410354296305
- type: nauc_precision_at_100_diff1
value: -34.51864090348213
- type: nauc_precision_at_100_max
value: 48.12778307352527
- type: nauc_precision_at_100_std
value: 60.33112526548986
- type: nauc_precision_at_10_diff1
value: -33.913446995683536
- type: nauc_precision_at_10_max
value: 51.827800576762726
- type: nauc_precision_at_10_std
value: 56.15214316846719
- type: nauc_precision_at_1_diff1
value: 47.84195771830615
- type: nauc_precision_at_1_max
value: 68.95221045759685
- type: nauc_precision_at_1_std
value: 35.145250281429824
- type: nauc_precision_at_20_diff1
value: -34.25535498799855
- type: nauc_precision_at_20_max
value: 50.23119733433027
- type: nauc_precision_at_20_std
value: 59.671418737988546
- type: nauc_precision_at_3_diff1
value: -28.417107232598877
- type: nauc_precision_at_3_max
value: 61.16886341335774
- type: nauc_precision_at_3_std
value: 48.34533128391697
- type: nauc_precision_at_5_diff1
value: -33.54570066440394
- type: nauc_precision_at_5_max
value: 56.522769824532936
- type: nauc_precision_at_5_std
value: 51.704950593707935
- type: nauc_recall_at_1000_diff1
value: 2.93977183499487
- type: nauc_recall_at_1000_max
value: 59.19161397622145
- type: nauc_recall_at_1000_std
value: 62.44563668374114
- type: nauc_recall_at_100_diff1
value: 8.013825549311562
- type: nauc_recall_at_100_max
value: 49.846341160862714
- type: nauc_recall_at_100_std
value: 48.1170998033127
- type: nauc_recall_at_10_diff1
value: 18.010735796887985
- type: nauc_recall_at_10_max
value: 21.358569425898903
- type: nauc_recall_at_10_std
value: 1.3301139186106035
- type: nauc_recall_at_1_diff1
value: 52.87085305237716
- type: nauc_recall_at_1_max
value: -24.27989564325726
- type: nauc_recall_at_1_std
value: -35.442050298290376
- type: nauc_recall_at_20_diff1
value: 11.816321531579238
- type: nauc_recall_at_20_max
value: 36.13782953010234
- type: nauc_recall_at_20_std
value: 23.555109581359886
- type: nauc_recall_at_3_diff1
value: 37.46336191367832
- type: nauc_recall_at_3_max
value: -16.038670342884316
- type: nauc_recall_at_3_std
value: -34.074784083025214
- type: nauc_recall_at_5_diff1
value: 30.274716744272567
- type: nauc_recall_at_5_max
value: -4.34067124108913
- type: nauc_recall_at_5_std
value: -26.21894992157237
- type: ndcg_at_1
value: 89.576
- type: ndcg_at_10
value: 84.133
- type: ndcg_at_100
value: 87.773
- type: ndcg_at_1000
value: 88.421
- type: ndcg_at_20
value: 85.909
- type: ndcg_at_3
value: 85.539
- type: ndcg_at_5
value: 84.143
- type: precision_at_1
value: 89.576
- type: precision_at_10
value: 41.789
- type: precision_at_100
value: 4.995
- type: precision_at_1000
value: 0.515
- type: precision_at_20
value: 23.224
- type: precision_at_3
value: 74.79400000000001
- type: precision_at_5
value: 62.683
- type: recall_at_1
value: 27.297
- type: recall_at_10
value: 83.035
- type: recall_at_100
value: 94.915
- type: recall_at_1000
value: 98.225
- type: recall_at_20
value: 88.984
- type: recall_at_3
value: 55.533
- type: recall_at_5
value: 69.575
task:
type: Retrieval
- dataset:
config: default
name: MTEB TNews
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
split: validation
type: C-MTEB/TNews-classification
metrics:
- type: accuracy
value: 51.664
- type: f1
value: 49.254634831292336
- type: f1_weighted
value: 51.23047453836118
- type: main_score
value: 51.664
task:
type: Classification
- dataset:
config: default
name: MTEB ThuNewsClusteringP2P
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
split: test
type: C-MTEB/ThuNewsClusteringP2P
metrics:
- type: main_score
value: 62.931149356482294
- type: v_measure
value: 62.931149356482294
- type: v_measure_std
value: 1.2113879267357022
task:
type: Clustering
- dataset:
config: default
name: MTEB ThuNewsClusteringS2S
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
split: test
type: C-MTEB/ThuNewsClusteringS2S
metrics:
- type: main_score
value: 59.18138500076393
- type: v_measure
value: 59.18138500076393
- type: v_measure_std
value: 1.441163494106974
task:
type: Clustering
- dataset:
config: default
name: MTEB VideoRetrieval
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
split: dev
type: C-MTEB/VideoRetrieval
metrics:
- type: main_score
value: 72.14500000000001
- type: map_at_1
value: 58.8
- type: map_at_10
value: 68.014
- type: map_at_100
value: 68.506
- type: map_at_1000
value: 68.51899999999999
- type: map_at_20
value: 68.333
- type: map_at_3
value: 66.31700000000001
- type: map_at_5
value: 67.31200000000001
- type: mrr_at_1
value: 58.8
- type: mrr_at_10
value: 68.01432539682544
- type: mrr_at_100
value: 68.50595347947811
- type: mrr_at_1000
value: 68.51919475199976
- type: mrr_at_20
value: 68.33299226014789
- type: mrr_at_3
value: 66.3166666666667
- type: mrr_at_5
value: 67.31166666666671
- type: nauc_map_at_1000_diff1
value: 68.3842603726721
- type: nauc_map_at_1000_max
value: 5.841784848188991
- type: nauc_map_at_1000_std
value: -31.890361063810364
- type: nauc_map_at_100_diff1
value: 68.38290538651279
- type: nauc_map_at_100_max
value: 5.851346250195991
- type: nauc_map_at_100_std
value: -31.88363804217233
- type: nauc_map_at_10_diff1
value: 68.42162270332948
- type: nauc_map_at_10_max
value: 5.545878771437991
- type: nauc_map_at_10_std
value: -32.33063386887081
- type: nauc_map_at_1_diff1
value: 69.28202470263717
- type: nauc_map_at_1_max
value: 5.263512365959786
- type: nauc_map_at_1_std
value: -29.659416343096055
- type: nauc_map_at_20_diff1
value: 68.3987969552634
- type: nauc_map_at_20_max
value: 5.7847092517499785
- type: nauc_map_at_20_std
value: -32.0616280955644
- type: nauc_map_at_3_diff1
value: 68.42478821018057
- type: nauc_map_at_3_max
value: 4.861120340503774
- type: nauc_map_at_3_std
value: -33.56938270962587
- type: nauc_map_at_5_diff1
value: 68.20507686427763
- type: nauc_map_at_5_max
value: 5.369798374942801
- type: nauc_map_at_5_std
value: -32.83081659270383
- type: nauc_mrr_at_1000_diff1
value: 68.3842603726721
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task:
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name: MTEB MintakaRetrieval (fr)
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
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type: jinaai/mintakaqa
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task:
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name: MTEB SICKFr
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
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- type: recall_at_1
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value: 99.57300000000001
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value: 89.9
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value: 49.716
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value: 63.229
task:
type: Retrieval
- dataset:
config: default
name: MTEB CBD
revision: 36ddb419bcffe6a5374c3891957912892916f28d
split: test
type: PL-MTEB/cbd
metrics:
- type: accuracy
value: 64.91
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value: 20.253009474993238
- type: f1
value: 54.83698737303514
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- type: main_score
value: 64.91
task:
type: Classification
- dataset:
config: default
name: MTEB CDSC-E
revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
split: test
type: PL-MTEB/cdsce-pairclassification
metrics:
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value: 87.5
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value: 64.39024390243902
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value: 94.18535828590393
- type: cosine_precision
value: 60.0
- type: cosine_recall
value: 69.47368421052632
- type: dot_accuracy
value: 87.5
- type: dot_accuracy_threshold
value: 97.39001989364624
- type: dot_ap
value: 71.63899566137869
- type: dot_f1
value: 64.39024390243902
- type: dot_f1_threshold
value: 94.18535232543945
- type: dot_precision
value: 60.0
- type: dot_recall
value: 69.47368421052632
- type: euclidean_accuracy
value: 87.5
- type: euclidean_accuracy_threshold
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- type: euclidean_ap
value: 71.63899566137869
- type: euclidean_f1
value: 64.39024390243902
- type: euclidean_f1_threshold
value: 34.101736545562744
- type: euclidean_precision
value: 60.0
- type: euclidean_recall
value: 69.47368421052632
- type: main_score
value: 71.83631821171632
- type: manhattan_accuracy
value: 87.6
- type: manhattan_accuracy_threshold
value: 499.97105598449707
- type: manhattan_ap
value: 71.83631821171632
- type: manhattan_f1
value: 64.5631067961165
- type: manhattan_f1_threshold
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- type: manhattan_precision
value: 59.909909909909906
- type: manhattan_recall
value: 70.0
- type: max_ap
value: 71.83631821171632
- type: max_f1
value: 64.5631067961165
- type: max_precision
value: 60.0
- type: max_recall
value: 70.0
- type: similarity_accuracy
value: 87.5
- type: similarity_accuracy_threshold
value: 97.39001989364624
- type: similarity_ap
value: 71.63899566137869
- type: similarity_f1
value: 64.39024390243902
- type: similarity_f1_threshold
value: 94.18535828590393
- type: similarity_precision
value: 60.0
- type: similarity_recall
value: 69.47368421052632
task:
type: PairClassification
- dataset:
config: default
name: MTEB CDSC-R
revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
split: test
type: PL-MTEB/cdscr-sts
metrics:
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- type: cosine_spearman
value: 90.27044716786627
- type: euclidean_pearson
value: 87.74719535276023
- type: euclidean_spearman
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- type: manhattan_spearman
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- type: pearson
value: 89.9839992597087
- type: spearman
value: 90.27044716786627
task:
type: STS
- dataset:
config: default
name: MTEB DBPedia-PL
revision: 76afe41d9af165cc40999fcaa92312b8b012064a
split: test
type: clarin-knext/dbpedia-pl
metrics:
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value: 13.052
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value: 11.122
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task:
type: Retrieval
- dataset:
config: default
name: MTEB 8TagsClustering
revision: 78b962b130c6690659c65abf67bf1c2f030606b6
split: test
type: PL-MTEB/8tags-clustering
metrics:
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task:
type: Clustering
- dataset:
config: default
name: MTEB FiQA-PL
revision: 2e535829717f8bf9dc829b7f911cc5bbd4e6608e
split: test
type: clarin-knext/fiqa-pl
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task:
type: Retrieval
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config: pl
name: MTEB MassiveIntentClassification (pl)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
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task:
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revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
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type: clarin-knext/nfcorpus-pl
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task:
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- type: nauc_recall_at_3_max
value: 19.91360673787573
- type: nauc_recall_at_3_std
value: 11.210024942573977
- type: nauc_recall_at_5_diff1
value: 23.437183434421655
- type: nauc_recall_at_5_max
value: 22.272023416475623
- type: nauc_recall_at_5_std
value: 12.814496156956142
- type: ndcg_at_1
value: 17.526
- type: ndcg_at_10
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- type: ndcg_at_100
value: 36.629
- type: ndcg_at_1000
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- type: ndcg_at_20
value: 33.382
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value: 27.339000000000002
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value: 17.526
- type: precision_at_10
value: 5.548
- type: precision_at_100
value: 0.88
- type: precision_at_1000
value: 0.106
- type: precision_at_20
value: 3.3649999999999998
- type: precision_at_3
value: 11.25
- type: precision_at_5
value: 8.517
- type: recall_at_1
value: 15.584999999999999
- type: recall_at_10
value: 46.521
- type: recall_at_100
value: 72.571
- type: recall_at_1000
value: 86.86500000000001
- type: recall_at_20
value: 56.004
- type: recall_at_3
value: 29.195999999999998
- type: recall_at_5
value: 36.324
task:
type: Retrieval
- dataset:
config: default
name: MTEB PAC
revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
split: test
type: laugustyniak/abusive-clauses-pl
metrics:
- type: accuracy
value: 64.80162177816392
- type: ap
value: 74.10348604798286
- type: ap_weighted
value: 74.10348604798286
- type: f1
value: 61.280331645723685
- type: f1_weighted
value: 65.03859489177282
- type: main_score
value: 64.80162177816392
task:
type: Classification
- dataset:
config: default
name: MTEB PSC
revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
split: test
type: PL-MTEB/psc-pairclassification
metrics:
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value: 97.77365491651206
- type: cosine_accuracy_threshold
value: 81.08445405960083
- type: cosine_ap
value: 99.43195082030653
- type: cosine_f1
value: 96.40718562874251
- type: cosine_f1_threshold
value: 81.08445405960083
- type: cosine_precision
value: 94.70588235294117
- type: cosine_recall
value: 98.17073170731707
- type: dot_accuracy
value: 97.77365491651206
- type: dot_accuracy_threshold
value: 81.08445405960083
- type: dot_ap
value: 99.43195082030653
- type: dot_f1
value: 96.40718562874251
- type: dot_f1_threshold
value: 81.08445405960083
- type: dot_precision
value: 94.70588235294117
- type: dot_recall
value: 98.17073170731707
- type: euclidean_accuracy
value: 97.77365491651206
- type: euclidean_accuracy_threshold
value: 61.50695085525513
- type: euclidean_ap
value: 99.43195082030653
- type: euclidean_f1
value: 96.40718562874251
- type: euclidean_f1_threshold
value: 61.50695085525513
- type: euclidean_precision
value: 94.70588235294117
- type: euclidean_recall
value: 98.17073170731707
- type: main_score
value: 99.46339853695966
- type: manhattan_accuracy
value: 98.05194805194806
- type: manhattan_accuracy_threshold
value: 1428.3578872680664
- type: manhattan_ap
value: 99.46339853695966
- type: manhattan_f1
value: 96.83257918552036
- type: manhattan_f1_threshold
value: 1428.3578872680664
- type: manhattan_precision
value: 95.82089552238806
- type: manhattan_recall
value: 97.86585365853658
- type: max_ap
value: 99.46339853695966
- type: max_f1
value: 96.83257918552036
- type: max_precision
value: 95.82089552238806
- type: max_recall
value: 98.17073170731707
- type: similarity_accuracy
value: 97.77365491651206
- type: similarity_accuracy_threshold
value: 81.08445405960083
- type: similarity_ap
value: 99.43195082030653
- type: similarity_f1
value: 96.40718562874251
- type: similarity_f1_threshold
value: 81.08445405960083
- type: similarity_precision
value: 94.70588235294117
- type: similarity_recall
value: 98.17073170731707
task:
type: PairClassification
- dataset:
config: default
name: MTEB PolEmo2.0-IN
revision: d90724373c70959f17d2331ad51fb60c71176b03
split: test
type: PL-MTEB/polemo2_in
metrics:
- type: accuracy
value: 80.54016620498614
- type: f1
value: 74.07868803329357
- type: f1_weighted
value: 78.52375884318697
- type: main_score
value: 80.54016620498614
task:
type: Classification
- dataset:
config: default
name: MTEB PolEmo2.0-OUT
revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
split: test
type: PL-MTEB/polemo2_out
metrics:
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value: 61.37651821862349
- type: f1
value: 46.60510896853889
- type: f1_weighted
value: 61.3956699958363
- type: main_score
value: 61.37651821862349
task:
type: Classification
- dataset:
config: default
name: MTEB PPC
revision: 2c7d2df57801a591f6b1e3aaf042e7a04ec7d9f2
split: test
type: PL-MTEB/ppc-pairclassification
metrics:
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value: 76.0
- type: cosine_accuracy_threshold
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- type: cosine_ap
value: 87.43755817552731
- type: cosine_f1
value: 80.46989720998532
- type: cosine_f1_threshold
value: 90.98483324050903
- type: cosine_precision
value: 72.29551451187335
- type: cosine_recall
value: 90.72847682119205
- type: dot_accuracy
value: 76.0
- type: dot_accuracy_threshold
value: 93.07277798652649
- type: dot_ap
value: 87.43751021710085
- type: dot_f1
value: 80.46989720998532
- type: dot_f1_threshold
value: 90.98482728004456
- type: dot_precision
value: 72.29551451187335
- type: dot_recall
value: 90.72847682119205
- type: euclidean_accuracy
value: 76.0
- type: euclidean_accuracy_threshold
value: 37.221553921699524
- type: euclidean_ap
value: 87.43751021710085
- type: euclidean_f1
value: 80.46989720998532
- type: euclidean_f1_threshold
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- type: euclidean_precision
value: 72.29551451187335
- type: euclidean_recall
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- type: main_score
value: 87.43755817552731
- type: manhattan_accuracy
value: 75.2
- type: manhattan_accuracy_threshold
value: 858.4394454956055
- type: manhattan_ap
value: 87.28751334847506
- type: manhattan_f1
value: 80.47162859248341
- type: manhattan_f1_threshold
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- type: manhattan_precision
value: 72.50996015936255
- type: manhattan_recall
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- type: max_ap
value: 87.43755817552731
- type: max_f1
value: 80.47162859248341
- type: max_precision
value: 72.50996015936255
- type: max_recall
value: 90.72847682119205
- type: similarity_accuracy
value: 76.0
- type: similarity_accuracy_threshold
value: 93.07277202606201
- type: similarity_ap
value: 87.43755817552731
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value: 80.46989720998532
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value: 90.98483324050903
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value: 72.29551451187335
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value: 90.72847682119205
task:
type: PairClassification
- dataset:
config: default
name: MTEB Quora-PL
revision: 0be27e93455051e531182b85e85e425aba12e9d4
split: test
type: clarin-knext/quora-pl
metrics:
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- type: map_at_10
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- type: map_at_100
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- type: map_at_1000
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- type: map_at_20
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- type: map_at_3
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- type: map_at_5
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- type: mrr_at_1
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- type: mrr_at_1000
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- type: nauc_map_at_1000_diff1
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- type: ndcg_at_10
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- type: ndcg_at_100
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- type: precision_at_1000
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- type: recall_at_1
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- type: recall_at_10
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- type: recall_at_100
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- type: recall_at_1000
value: 98.81
- type: recall_at_20
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- type: recall_at_3
value: 73.978
- type: recall_at_5
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task:
type: Retrieval
- dataset:
config: default
name: MTEB SCIDOCS-PL
revision: 45452b03f05560207ef19149545f168e596c9337
split: test
type: clarin-knext/scidocs-pl
metrics:
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- type: map_at_100
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task:
type: Retrieval
- dataset:
config: default
name: MTEB SICK-E-PL
revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
split: test
type: PL-MTEB/sicke-pl-pairclassification
metrics:
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value: 78.12882185079495
- type: dot_accuracy_threshold
value: 95.76345682144165
- type: dot_ap
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value: 92.86266565322876
- type: dot_precision
value: 49.53104064314426
- type: dot_recall
value: 78.98860398860398
- type: euclidean_accuracy
value: 78.12882185079495
- type: euclidean_accuracy_threshold
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- type: euclidean_ap
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value: 60.88388690639582
- type: euclidean_f1_threshold
value: 37.781822681427
- type: euclidean_precision
value: 49.53104064314426
- type: euclidean_recall
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- type: main_score
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- type: manhattan_ap
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value: 888.3136749267578
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value: 49.48499776085983
- type: manhattan_recall
value: 78.70370370370371
- type: max_ap
value: 63.56553287602377
- type: max_f1
value: 60.88388690639582
- type: max_precision
value: 49.53104064314426
- type: max_recall
value: 78.98860398860398
- type: similarity_accuracy
value: 78.12882185079495
- type: similarity_accuracy_threshold
value: 95.76345682144165
- type: similarity_ap
value: 63.56538407363026
- type: similarity_f1
value: 60.88388690639582
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value: 92.86266565322876
- type: similarity_precision
value: 49.53104064314426
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value: 78.98860398860398
task:
type: PairClassification
- dataset:
config: default
name: MTEB SICK-R-PL
revision: fd5c2441b7eeff8676768036142af4cfa42c1339
split: test
type: PL-MTEB/sickr-pl-sts
metrics:
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value: 71.75502609028113
- type: cosine_spearman
value: 66.52097638938338
- type: euclidean_pearson
value: 68.6974439167054
- type: euclidean_spearman
value: 66.52095939114172
- type: main_score
value: 66.52097638938338
- type: manhattan_pearson
value: 68.53848708135571
- type: manhattan_spearman
value: 66.29909223435631
- type: pearson
value: 71.75502609028113
- type: spearman
value: 66.52097638938338
task:
type: STS
- dataset:
config: pl
name: MTEB STS22 (pl)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
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value: 40.06621394078099
- type: cosine_spearman
value: 45.160446103264285
- type: euclidean_pearson
value: 25.38908314629843
- type: euclidean_spearman
value: 45.160446103264285
- type: main_score
value: 45.160446103264285
- type: manhattan_pearson
value: 25.13217941116968
- type: manhattan_spearman
value: 45.05397285684081
- type: pearson
value: 40.06621394078099
- type: spearman
value: 45.160446103264285
task:
type: STS
- dataset:
config: pl-en
name: MTEB STS22 (pl-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
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value: 77.99167158750629
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value: 77.00326330683939
- type: euclidean_pearson
value: 77.60571751826936
- type: euclidean_spearman
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- type: main_score
value: 77.00326330683939
- type: manhattan_pearson
value: 78.19839585217989
- type: manhattan_spearman
value: 78.44894390841364
- type: pearson
value: 77.99167158750629
- type: spearman
value: 77.00326330683939
task:
type: STS
- dataset:
config: de-pl
name: MTEB STS22 (de-pl)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
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value: 40.2221719679774
- type: cosine_spearman
value: 57.18465019880842
- type: euclidean_pearson
value: 42.11211158455479
- type: euclidean_spearman
value: 57.18465019880842
- type: main_score
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value: 56.35320940431847
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value: 40.2221719679774
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value: 57.18465019880842
task:
type: STS
- dataset:
config: fr-pl
name: MTEB STS22 (fr-pl)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
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task:
type: STS
- dataset:
config: default
name: MTEB SciFact-PL
revision: 47932a35f045ef8ed01ba82bf9ff67f6e109207e
split: test
type: clarin-knext/scifact-pl
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- type: precision_at_1000
value: 0.11
- type: precision_at_20
value: 4.517
- type: precision_at_3
value: 23.0
- type: precision_at_5
value: 15.067
- type: recall_at_1
value: 48.317
- type: recall_at_10
value: 74.078
- type: recall_at_100
value: 90.167
- type: recall_at_1000
value: 97.333
- type: recall_at_20
value: 79.256
- type: recall_at_3
value: 62.561
- type: recall_at_5
value: 67.039
task:
type: Retrieval
- dataset:
config: default
name: MTEB TRECCOVID-PL
revision: 81bcb408f33366c2a20ac54adafad1ae7e877fdd
split: test
type: clarin-knext/trec-covid-pl
metrics:
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value: 69.244
- type: map_at_1
value: 0.216
- type: map_at_10
value: 1.717
- type: map_at_100
value: 9.051
- type: map_at_1000
value: 21.688
- type: map_at_20
value: 2.972
- type: map_at_3
value: 0.624
- type: map_at_5
value: 0.9809999999999999
- type: mrr_at_1
value: 82.0
- type: mrr_at_10
value: 88.41666666666666
- type: mrr_at_100
value: 88.57051282051282
- type: mrr_at_1000
value: 88.57051282051282
- type: mrr_at_20
value: 88.57051282051282
- type: mrr_at_3
value: 87.66666666666666
- type: mrr_at_5
value: 88.16666666666666
- type: nauc_map_at_1000_diff1
value: -21.210172839828886
- type: nauc_map_at_1000_max
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- type: nauc_map_at_1000_std
value: 82.23413161215711
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value: 74.6556355692718
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value: 20.312897662543314
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- type: nauc_recall_at_1_std
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- type: nauc_recall_at_5_max
value: 14.755638630484144
- type: nauc_recall_at_5_std
value: 15.864031786019787
- type: ndcg_at_1
value: 72.0
- type: ndcg_at_10
value: 69.244
- type: ndcg_at_100
value: 50.834
- type: ndcg_at_1000
value: 45.535
- type: ndcg_at_20
value: 65.676
- type: ndcg_at_3
value: 73.776
- type: ndcg_at_5
value: 72.715
- type: precision_at_1
value: 82.0
- type: precision_at_10
value: 73.6
- type: precision_at_100
value: 52.22
- type: precision_at_1000
value: 20.380000000000003
- type: precision_at_20
value: 69.0
- type: precision_at_3
value: 81.333
- type: precision_at_5
value: 79.2
- type: recall_at_1
value: 0.216
- type: recall_at_10
value: 1.8900000000000001
- type: recall_at_100
value: 12.359
- type: recall_at_1000
value: 42.791000000000004
- type: recall_at_20
value: 3.44
- type: recall_at_3
value: 0.653
- type: recall_at_5
value: 1.048
task:
type: Retrieval
- dataset:
config: default
name: MTEB CEDRClassification
revision: c0ba03d058e3e1b2f3fd20518875a4563dd12db4
split: test
type: ai-forever/cedr-classification
metrics:
- type: accuracy
value: 43.29968119022317
- type: f1
value: 41.112000768648386
- type: lrap
value: 72.06216790648348
- type: main_score
value: 43.29968119022317
task:
type: MultilabelClassification
- dataset:
config: default
name: MTEB GeoreviewClassification
revision: 3765c0d1de6b7d264bc459433c45e5a75513839c
split: test
type: ai-forever/georeview-classification
metrics:
- type: accuracy
value: 52.0361328125
- type: f1
value: 47.84397823612054
- type: f1_weighted
value: 47.84111706041435
- type: main_score
value: 52.0361328125
task:
type: Classification
- dataset:
config: default
name: MTEB GeoreviewClusteringP2P
revision: 97a313c8fc85b47f13f33e7e9a95c1ad888c7fec
split: test
type: ai-forever/georeview-clustering-p2p
metrics:
- type: main_score
value: 60.28266888390485
- type: v_measure
value: 60.28266888390485
- type: v_measure_std
value: 1.0348363132473835
task:
type: Clustering
- dataset:
config: default
name: MTEB HeadlineClassification
revision: 2fe05ee6b5832cda29f2ef7aaad7b7fe6a3609eb
split: test
type: ai-forever/headline-classification
metrics:
- type: accuracy
value: 83.4033203125
- type: f1
value: 83.39708551274371
- type: f1_weighted
value: 83.39502222187862
- type: main_score
value: 83.4033203125
task:
type: Classification
- dataset:
config: default
name: MTEB InappropriatenessClassification
revision: 601651fdc45ef243751676e62dd7a19f491c0285
split: test
type: ai-forever/inappropriateness-classification
metrics:
- type: accuracy
value: 64.140625
- type: ap
value: 59.28880813167948
- type: ap_weighted
value: 59.28880813167948
- type: f1
value: 63.72032598814496
- type: f1_weighted
value: 63.72032598814496
- type: main_score
value: 64.140625
task:
type: Classification
- dataset:
config: default
name: MTEB KinopoiskClassification
revision: 5911f26666ac11af46cb9c6849d0dc80a378af24
split: test
type: ai-forever/kinopoisk-sentiment-classification
metrics:
- type: accuracy
value: 63.15333333333333
- type: f1
value: 59.395986541732384
- type: f1_weighted
value: 59.395986541732384
- type: main_score
value: 63.15333333333333
task:
type: Classification
- dataset:
config: ru
name: MTEB MIRACLReranking (ru)
revision: 6d1962c527217f8927fca80f890f14f36b2802af
split: dev
type: miracl/mmteb-miracl-reranking
metrics:
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value: 29.732999999999997
- type: MAP@10(MIRACL)
value: 48.333
- type: MAP@100(MIRACL)
value: 50.517
- type: MAP@1000(MIRACL)
value: 50.517
- type: MAP@20(MIRACL)
value: 49.85
- type: MAP@3(MIRACL)
value: 41.843
- type: MAP@5(MIRACL)
value: 45.323
- type: NDCG@1(MIRACL)
value: 48.436
- type: NDCG@10(MIRACL)
value: 56.111999999999995
- type: NDCG@100(MIRACL)
value: 60.617
- type: NDCG@1000(MIRACL)
value: 60.617
- type: NDCG@20(MIRACL)
value: 58.826
- type: NDCG@3(MIRACL)
value: 50.483999999999995
- type: NDCG@5(MIRACL)
value: 52.61
- type: P@1(MIRACL)
value: 48.436
- type: P@10(MIRACL)
value: 14.667
- type: P@100(MIRACL)
value: 1.9529999999999998
- type: P@1000(MIRACL)
value: 0.19499999999999998
- type: P@20(MIRACL)
value: 8.665000000000001
- type: P@3(MIRACL)
value: 31.302000000000003
- type: P@5(MIRACL)
value: 23.384
- type: Recall@1(MIRACL)
value: 29.732999999999997
- type: Recall@10(MIRACL)
value: 66.532
- type: Recall@100(MIRACL)
value: 79.952
- type: Recall@1000(MIRACL)
value: 79.952
- type: Recall@20(MIRACL)
value: 73.75
- type: Recall@3(MIRACL)
value: 49.541000000000004
- type: Recall@5(MIRACL)
value: 57.389
- type: main_score
value: 56.111999999999995
- type: nAUC_MAP@1000_diff1(MIRACL)
value: 15.8510181843185
- type: nAUC_MAP@1000_max(MIRACL)
value: 27.452155305037095
- type: nAUC_MAP@1000_std(MIRACL)
value: 15.147015882448075
- type: nAUC_MAP@100_diff1(MIRACL)
value: 15.8510181843185
- type: nAUC_MAP@100_max(MIRACL)
value: 27.452155305037095
- type: nAUC_MAP@100_std(MIRACL)
value: 15.147015882448075
- type: nAUC_MAP@10_diff1(MIRACL)
value: 17.808742699385363
- type: nAUC_MAP@10_max(MIRACL)
value: 25.21217663908093
- type: nAUC_MAP@10_std(MIRACL)
value: 13.970995033749716
- type: nAUC_MAP@1_diff1(MIRACL)
value: 34.30066727981356
- type: nAUC_MAP@1_max(MIRACL)
value: 11.096793012814972
- type: nAUC_MAP@1_std(MIRACL)
value: 4.298644702770651
- type: nAUC_MAP@20_diff1(MIRACL)
value: 16.499957004860978
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value: 26.676987318433714
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value: 15.166175199040485
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value: 23.797870452650084
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value: 18.20460307122738
- type: nAUC_MAP@3_std(MIRACL)
value: 8.985118628338126
- type: nAUC_MAP@5_diff1(MIRACL)
value: 20.549029352694866
- type: nAUC_MAP@5_max(MIRACL)
value: 21.528805328834324
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value: 11.131951589460492
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value: 5.973372149854828
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value: 36.70565868748619
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value: 19.551007976769245
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value: 5.973372149854828
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value: 36.70565868748619
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value: 19.551007976769245
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value: 22.04892839322977
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value: 32.51034181981298
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value: 34.52221220694718
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value: 19.94006423667
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value: 16.284195830367825
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- type: nAUC_Recall@3_diff1(MIRACL)
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value: 17.368565662731196
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value: 10.538072940876807
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value: 8.199967584892176
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value: 23.500985460573578
- type: nAUC_Recall@5_std(MIRACL)
value: 13.477424183539433
task:
type: Reranking
- dataset:
config: ru
name: MTEB MassiveIntentClassification (ru)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics:
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value: 68.61466039004706
- type: f1
value: 63.790707574282045
- type: f1_weighted
value: 67.28456899088164
- type: main_score
value: 68.61466039004706
task:
type: Classification
- dataset:
config: ru
name: MTEB MassiveScenarioClassification (ru)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics:
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value: 77.97579018157364
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value: 76.31497051309336
- type: f1_weighted
value: 77.54198422119202
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value: 77.97579018157364
task:
type: Classification
- dataset:
config: default
name: MTEB RUParaPhraserSTS
revision: 43265056790b8f7c59e0139acb4be0a8dad2c8f4
split: test
type: merionum/ru_paraphraser
metrics:
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task:
type: STS
- dataset:
config: default
name: MTEB RiaNewsRetrieval
revision: 82374b0bbacda6114f39ff9c5b925fa1512ca5d7
split: test
type: ai-forever/ria-news-retrieval
metrics:
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task:
type: Retrieval
- dataset:
config: default
name: MTEB RuBQReranking
revision: 2e96b8f098fa4b0950fc58eacadeb31c0d0c7fa2
split: test
type: ai-forever/rubq-reranking
metrics:
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task:
type: Reranking
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config: default
name: MTEB RuBQRetrieval
revision: e19b6ffa60b3bc248e0b41f4cc37c26a55c2a67b
split: test
type: ai-forever/rubq-retrieval
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value: 15.359436829533934
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value: -15.87666175175801
- type: ndcg_at_1
value: 52.896
- type: ndcg_at_10
value: 66.77
- type: ndcg_at_100
value: 69.98100000000001
- type: ndcg_at_1000
value: 70.408
- type: ndcg_at_20
value: 68.53200000000001
- type: ndcg_at_3
value: 58.074999999999996
- type: ndcg_at_5
value: 62.841
- type: precision_at_1
value: 52.896
- type: precision_at_10
value: 13.8
- type: precision_at_100
value: 1.609
- type: precision_at_1000
value: 0.166
- type: precision_at_20
value: 7.444000000000001
- type: precision_at_3
value: 32.623999999999995
- type: precision_at_5
value: 23.735
- type: recall_at_1
value: 36.525
- type: recall_at_10
value: 83.893
- type: recall_at_100
value: 96.345
- type: recall_at_1000
value: 99.126
- type: recall_at_20
value: 89.812
- type: recall_at_3
value: 62.58899999999999
- type: recall_at_5
value: 73.64500000000001
task:
type: Retrieval
- dataset:
config: default
name: MTEB RuReviewsClassification
revision: f6d2c31f4dc6b88f468552750bfec05b4b41b05a
split: test
type: ai-forever/ru-reviews-classification
metrics:
- type: accuracy
value: 68.2373046875
- type: f1
value: 66.6798984937843
- type: f1_weighted
value: 66.67858774240374
- type: main_score
value: 68.2373046875
task:
type: Classification
- dataset:
config: default
name: MTEB RuSTSBenchmarkSTS
revision: 7cf24f325c6da6195df55bef3d86b5e0616f3018
split: test
type: ai-forever/ru-stsbenchmark-sts
metrics:
- type: cosine_pearson
value: 77.06911833905438
- type: cosine_spearman
value: 77.84605139753621
- type: euclidean_pearson
value: 76.3616511204864
- type: euclidean_spearman
value: 77.84487946345095
- type: main_score
value: 77.84605139753621
- type: manhattan_pearson
value: 76.35303659263998
- type: manhattan_spearman
value: 77.87677782965115
- type: pearson
value: 77.06911833905438
- type: spearman
value: 77.84605139753621
task:
type: STS
- dataset:
config: default
name: MTEB RuSciBenchGRNTIClassification
revision: 673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1
split: test
type: ai-forever/ru-scibench-grnti-classification
metrics:
- type: accuracy
value: 61.23535156249999
- type: f1
value: 59.029291161802334
- type: f1_weighted
value: 59.041548793589406
- type: main_score
value: 61.23535156249999
task:
type: Classification
- dataset:
config: default
name: MTEB RuSciBenchGRNTIClusteringP2P
revision: 673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1
split: test
type: ai-forever/ru-scibench-grnti-classification
metrics:
- type: main_score
value: 56.82815630686135
- type: v_measure
value: 56.82815630686135
- type: v_measure_std
value: 0.6871068462323323
task:
type: Clustering
- dataset:
config: default
name: MTEB RuSciBenchOECDClassification
revision: 26c88e99dcaba32bb45d0e1bfc21902337f6d471
split: test
type: ai-forever/ru-scibench-oecd-classification
metrics:
- type: accuracy
value: 48.1005859375
- type: f1
value: 44.918516110124315
- type: f1_weighted
value: 44.91942618115105
- type: main_score
value: 48.1005859375
task:
type: Classification
- dataset:
config: default
name: MTEB RuSciBenchOECDClusteringP2P
revision: 26c88e99dcaba32bb45d0e1bfc21902337f6d471
split: test
type: ai-forever/ru-scibench-oecd-classification
metrics:
- type: main_score
value: 48.72707742931753
- type: v_measure
value: 48.72707742931753
- type: v_measure_std
value: 0.7258468439420995
task:
type: Clustering
- dataset:
config: ru
name: MTEB STS22 (ru)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics:
- type: cosine_pearson
value: 64.95220904597029
- type: cosine_spearman
value: 67.35282990065247
- type: euclidean_pearson
value: 64.72045496418937
- type: euclidean_spearman
value: 67.35282990065247
- type: main_score
value: 67.35282990065247
- type: manhattan_pearson
value: 64.40621455763392
- type: manhattan_spearman
value: 66.99408273892949
- type: pearson
value: 64.95220904597029
- type: spearman
value: 67.35282990065247
task:
type: STS
- dataset:
config: default
name: MTEB SensitiveTopicsClassification
revision: 416b34a802308eac30e4192afc0ff99bb8dcc7f2
split: test
type: ai-forever/sensitive-topics-classification
metrics:
- type: accuracy
value: 29.624023437500004
- type: f1
value: 33.214028020582894
- type: lrap
value: 44.53599717881868
- type: main_score
value: 29.624023437500004
task:
type: MultilabelClassification
- dataset:
config: default
name: MTEB TERRa
revision: 7b58f24536063837d644aab9a023c62199b2a612
split: dev
type: ai-forever/terra-pairclassification
metrics:
- type: cosine_accuracy
value: 57.98045602605863
- type: cosine_accuracy_threshold
value: 83.04829597473145
- type: cosine_ap
value: 55.56580974377611
- type: cosine_f1
value: 66.9603524229075
- type: cosine_f1_threshold
value: 73.216313123703
- type: cosine_precision
value: 50.498338870431894
- type: cosine_recall
value: 99.34640522875817
- type: dot_accuracy
value: 57.98045602605863
- type: dot_accuracy_threshold
value: 83.04829597473145
- type: dot_ap
value: 55.56580974377611
- type: dot_f1
value: 66.9603524229075
- type: dot_f1_threshold
value: 73.21631908416748
- type: dot_precision
value: 50.498338870431894
- type: dot_recall
value: 99.34640522875817
- type: euclidean_accuracy
value: 57.98045602605863
- type: euclidean_accuracy_threshold
value: 58.226633071899414
- type: euclidean_ap
value: 55.56580974377611
- type: euclidean_f1
value: 66.9603524229075
- type: euclidean_f1_threshold
value: 73.18969368934631
- type: euclidean_precision
value: 50.498338870431894
- type: euclidean_recall
value: 99.34640522875817
- type: main_score
value: 55.56580974377611
- type: manhattan_accuracy
value: 57.98045602605863
- type: manhattan_accuracy_threshold
value: 1336.6012573242188
- type: manhattan_ap
value: 55.5371135438789
- type: manhattan_f1
value: 66.95842450765863
- type: manhattan_f1_threshold
value: 1720.5078125
- type: manhattan_precision
value: 50.32894736842105
- type: manhattan_recall
value: 100.0
- type: max_ap
value: 55.56580974377611
- type: max_f1
value: 66.9603524229075
- type: max_precision
value: 50.498338870431894
- type: max_recall
value: 100.0
- type: similarity_accuracy
value: 57.98045602605863
- type: similarity_accuracy_threshold
value: 83.04829597473145
- type: similarity_ap
value: 55.56580974377611
- type: similarity_f1
value: 66.9603524229075
- type: similarity_f1_threshold
value: 73.216313123703
- type: similarity_precision
value: 50.498338870431894
- type: similarity_recall
value: 99.34640522875817
task:
type: PairClassification
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
---
-
<h1 align="center">KaLM-Embedding</h1>
**KaLM-Embedding** is a series of embedding models adapted from auto-regressive LLMs with superior training data.
KaLM-embedding-multilingual-mini is trained from [Qwen/Qwen2-0.5B](https://huggingface.co/Qwen/Qwen2-0.5B) with massive weakly-supervised pre-training and supervised fine-tuning data.
## 📑 Open-source Plan
- [x] Model Checkpoint
- [x] [KaLM-embedding-multilingual-mini-v1](https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-v1)
- [x] [KaLM-embedding-multilingual-mini-instruct-v1](https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1)
- [ ] KaLM-embedding-multilingual-max-v1
- [ ] Technical Report
- [ ] Training and Evaluation Code
- [ ] Training Data
## Requirements
Since we have used the Qwen2 model, we advise you to install `transformers>=4.37.0`, or you might encounter the following error:
```
KeyError: 'qwen2'
```
## Usage
Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
```
pip install -U sentence-transformers
```
Then you can use the model like this:
```python
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]
model = SentenceTransformer('{MODEL_NAME_OR_PATH}') # Do NOT set trust_remote_code
model.max_seq_length = 512
embeddings = model.encode(
sentences,
normalize_embeddings=True,
batch_size=256,
show_progress_bar=True
)
print(embeddings)
```
We add instruction for asymmetric tasks: retrieval, reranking, classification and clustering.
<!-- We add instruction for classification and clustering. -->
If you want to add instruction to the query (no instruction for the corpus), you can use the model like this:
```python
from sentence_transformers import SentenceTransformer
sentences = ["This is an example sentence", "Each sentence is converted"]
model = SentenceTransformer('{MODEL_NAME_OR_PATH}') # Do NOT set trust_remote_code
model.max_seq_length = 512
prompt = "Instruct: Classifying the category of french news. \n Query: "
embeddings = model.encode(
sentences,
prompt=prompt,
normalize_embeddings=True,
batch_size=256,
show_progress_bar=True
)
print(embeddings)
```
## Contact
If you encounter any issue, feel free to contact us via the email: yanshek.woo@gmail.com