sentence-transformers safetensors qwen2 feature-extraction sentence-similarity mteb arxiv:2501.01028 license:mit model-index autotrain_compatible text-embeddings-inference endpoints_compatible region:us
---
license: mit
pipeline_tag: sentence-similarity
tags:
- sentence-transformers
- feature-extraction
- sentence-similarity
- mteb
model-index:
- name: KaLM-Embedding
  results:
  - task:
      type: Classification
    dataset:
      name: MTEB AmazonCounterfactualClassification (en-ext)
      type: mteb/amazon_counterfactual
      config: en-ext
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    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:
      name: MTEB AmazonCounterfactualClassification (en)
      type: mteb/amazon_counterfactual
      config: en
      split: test
      revision: e8379541af4e31359cca9fbcf4b00f2671dba205
    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:
      name: MTEB AmazonPolarityClassification
      type: mteb/amazon_polarity
      config: default
      split: test
      revision: e2d317d38cd51312af73b3d32a06d1a08b442046
    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:
      name: MTEB AmazonReviewsClassification (en)
      type: mteb/amazon_reviews_multi
      config: en
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    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: Retrieval
    dataset:
      name: MTEB ArguAna
      type: mteb/arguana
      config: default
      split: test
      revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
    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
      value: 42.425000000000004
    - type: map_at_5
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    - type: mrr_at_1
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    - type: mrr_at_10
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    - type: mrr_at_100
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    - type: mrr_at_1000
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    - type: mrr_at_20
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    - type: mrr_at_5
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    - type: ndcg_at_1000
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    - type: precision_at_1
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    - type: precision_at_100
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    - type: precision_at_1000
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    - type: recall_at_1
      value: 31.080999999999996
    - type: recall_at_10
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    - type: recall_at_100
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    - type: recall_at_1000
      value: 99.644
    - type: recall_at_20
      value: 94.879
    - type: recall_at_3
      value: 57.18299999999999
    - type: recall_at_5
      value: 69.06099999999999
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringP2P
      type: mteb/arxiv-clustering-p2p
      config: default
      split: test
      revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
    metrics:
    - type: main_score
      value: 48.009758343820856
    - type: v_measure
      value: 48.009758343820856
    - type: v_measure_std
      value: 14.203651443985635
  - task:
      type: Clustering
    dataset:
      name: MTEB ArxivClusteringS2S
      type: mteb/arxiv-clustering-s2s
      config: default
      split: test
      revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
    metrics:
    - type: main_score
      value: 39.401811401341035
    - type: v_measure
      value: 39.401811401341035
    - type: v_measure_std
      value: 14.736655369522248
  - task:
      type: Reranking
    dataset:
      name: MTEB AskUbuntuDupQuestions
      type: mteb/askubuntudupquestions-reranking
      config: default
      split: test
      revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
    metrics:
    - type: main_score
      value: 60.158996366210474
    - type: map
      value: 60.158996366210474
    - type: mrr
      value: 74.69034428175702
    - type: nAUC_map_diff1
      value: 7.7660414737755605
    - type: nAUC_map_max
      value: 20.377348037855818
    - type: nAUC_map_std
      value: 18.290516035806565
    - type: nAUC_mrr_diff1
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    - type: nAUC_mrr_max
      value: 31.3686330442438
    - type: nAUC_mrr_std
      value: 19.240868443170196
  - task:
      type: STS
    dataset:
      name: MTEB BIOSSES
      type: mteb/biosses-sts
      config: default
      split: test
      revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
    metrics:
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      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: Classification
    dataset:
      name: MTEB Banking77Classification
      type: mteb/banking77
      config: default
      split: test
      revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
    metrics:
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    - type: f1
      value: 84.30505630131526
    - type: f1_weighted
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    - type: main_score
      value: 84.92857142857144
  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringP2P
      type: mteb/biorxiv-clustering-p2p
      config: default
      split: test
      revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
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    - type: v_measure
      value: 40.014867273983484
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  - task:
      type: Clustering
    dataset:
      name: MTEB BiorxivClusteringS2S
      type: mteb/biorxiv-clustering-s2s
      config: default
      split: test
      revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
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    - type: v_measure
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  - task:
      type: Retrieval
    dataset:
      name: MTEB CQADupstackAndroidRetrieval
      type: mteb/cqadupstack-android
      config: default
      split: test
      revision: f46a197baaae43b4f621051089b82a364682dfeb
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  - task:
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  - task:
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      type: mteb/imdb
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  - task:
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      config: default
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      revision: c5a29a104738b98a9e76336939199e264163d4a0
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  - task:
      type: Classification
    dataset:
      name: MTEB MTOPDomainClassification (en)
      type: mteb/mtop_domain
      config: en
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
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  - task:
      type: Classification
    dataset:
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      type: mteb/mtop_intent
      config: en
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
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  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (en)
      type: mteb/amazon_massive_intent
      config: en
      split: test
      revision: 4672e20407010da34463acc759c162ca9734bca6
    metrics:
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  - task:
      type: Classification
    dataset:
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      type: mteb/amazon_massive_scenario
      config: en
      split: test
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
    metrics:
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  - task:
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      type: mteb/medrxiv-clustering-p2p
      config: default
      split: test
      revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73
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  - task:
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      type: mteb/medrxiv-clustering-s2s
      config: default
      split: test
      revision: 35191c8c0dca72d8ff3efcd72aa802307d469663
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  - task:
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      type: mteb/mind_small
      config: default
      split: test
      revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7
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  - task:
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      type: mteb/nfcorpus
      config: default
      split: test
      revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
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  - task:
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  - task:
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  - task:
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    - 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:
      name: MTEB STS12
      type: mteb/sts12-sts
      config: default
      split: test
      revision: a0d554a64d88156834ff5ae9920b964011b16384
    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:
      name: MTEB STS13
      type: mteb/sts13-sts
      config: default
      split: test
      revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
    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:
      name: MTEB STS14
      type: mteb/sts14-sts
      config: default
      split: test
      revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
    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:
      name: MTEB STS15
      type: mteb/sts15-sts
      config: default
      split: test
      revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
    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:
      name: MTEB STS16
      type: mteb/sts16-sts
      config: default
      split: test
      revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
    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:
      name: MTEB STS17 (en-ar)
      type: mteb/sts17-crosslingual-sts
      config: en-ar
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    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:
      name: MTEB STS17 (en-de)
      type: mteb/sts17-crosslingual-sts
      config: en-de
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    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:
      name: MTEB STS17 (en-en)
      type: mteb/sts17-crosslingual-sts
      config: en-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    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:
      name: MTEB STS17 (en-tr)
      type: mteb/sts17-crosslingual-sts
      config: en-tr
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    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:
      name: MTEB STS17 (es-en)
      type: mteb/sts17-crosslingual-sts
      config: es-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    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:
      name: MTEB STS17 (fr-en)
      type: mteb/sts17-crosslingual-sts
      config: fr-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    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:
      name: MTEB STS17 (it-en)
      type: mteb/sts17-crosslingual-sts
      config: it-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    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:
      name: MTEB STS17 (nl-en)
      type: mteb/sts17-crosslingual-sts
      config: nl-en
      split: test
      revision: faeb762787bd10488a50c8b5be4a3b82e411949c
    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:
      name: MTEB STS22 (en)
      type: mteb/sts22-crosslingual-sts
      config: en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    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:
      name: MTEB STS22 (de-en)
      type: mteb/sts22-crosslingual-sts
      config: de-en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    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:
      name: MTEB STS22 (es-en)
      type: mteb/sts22-crosslingual-sts
      config: es-en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    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:
      name: MTEB STS22 (pl-en)
      type: mteb/sts22-crosslingual-sts
      config: pl-en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    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
    - 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:
      name: MTEB STS22 (zh-en)
      type: mteb/sts22-crosslingual-sts
      config: zh-en
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    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
    - 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:
      name: MTEB STSBenchmark
      type: mteb/stsbenchmark-sts
      config: default
      split: test
      revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
    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: Reranking
    dataset:
      name: MTEB SciDocsRR
      type: mteb/scidocs-reranking
      config: default
      split: test
      revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
    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: Retrieval
    dataset:
      name: MTEB SciFact
      type: mteb/scifact
      config: default
      split: test
      revision: 0228b52cf27578f30900b9e5271d331663a030d7
    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
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  - task:
      type: PairClassification
    dataset:
      name: MTEB SprintDuplicateQuestions
      type: mteb/sprintduplicatequestions-pairclassification
      config: default
      split: test
      revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
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    - type: manhattan_recall
      value: 88.5
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      value: 88.5
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  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClustering
      type: mteb/stackexchange-clustering
      config: default
      split: test
      revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
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      value: 3.9403815544270233
  - task:
      type: Clustering
    dataset:
      name: MTEB StackExchangeClusteringP2P
      type: mteb/stackexchange-clustering-p2p
      config: default
      split: test
      revision: 815ca46b2622cec33ccafc3735d572c266efdb44
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    - type: v_measure
      value: 35.594885571404724
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      value: 1.5163847345337254
  - task:
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    dataset:
      name: MTEB StackOverflowDupQuestions
      type: mteb/stackoverflowdupquestions-reranking
      config: default
      split: test
      revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
    metrics:
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  - task:
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      name: MTEB SummEval
      type: mteb/summeval
      config: default
      split: test
      revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
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  - task:
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      type: mteb/trec-covid
      config: default
      split: test
      revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
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    - type: ndcg_at_100
      value: 62.65500000000001
    - type: ndcg_at_1000
      value: 56.359
    - type: ndcg_at_20
      value: 77.561
    - type: ndcg_at_3
      value: 80.296
    - type: ndcg_at_5
      value: 79.806
    - type: precision_at_1
      value: 84.0
    - type: precision_at_10
      value: 85.6
    - type: precision_at_100
      value: 64.92
    - type: precision_at_1000
      value: 24.89
    - type: precision_at_20
      value: 83.2
    - type: precision_at_3
      value: 87.333
    - type: precision_at_5
      value: 87.2
    - type: recall_at_1
      value: 0.215
    - type: recall_at_10
      value: 2.246
    - type: recall_at_100
      value: 15.784
    - type: recall_at_1000
      value: 53.427
    - type: recall_at_20
      value: 4.281
    - type: recall_at_3
      value: 0.688
    - type: recall_at_5
      value: 1.142
  - task:
      type: Retrieval
    dataset:
      name: MTEB Touche2020
      type: mteb/touche2020
      config: default
      split: test
      revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
    metrics:
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      value: 31.186999999999998
    - type: map_at_1
      value: 3.4070000000000005
    - type: map_at_10
      value: 13.313
    - type: map_at_100
      value: 19.900000000000002
    - type: map_at_1000
      value: 21.437
    - type: map_at_20
      value: 15.714
    - type: map_at_3
      value: 6.923
    - type: map_at_5
      value: 9.054
    - type: mrr_at_1
      value: 44.89795918367347
    - type: mrr_at_10
      value: 56.63832199546485
    - type: mrr_at_100
      value: 57.666166033512965
    - type: mrr_at_1000
      value: 57.666166033512965
    - type: mrr_at_20
      value: 57.51229496127455
    - type: mrr_at_3
      value: 53.40136054421768
    - type: mrr_at_5
      value: 55.1360544217687
    - type: nauc_map_at_1000_diff1
      value: 6.929929189103678
    - type: nauc_map_at_1000_max
      value: -20.5925373398606
    - type: nauc_map_at_1000_std
      value: 7.835669658058121
    - type: nauc_map_at_100_diff1
      value: 7.528899533894891
    - type: nauc_map_at_100_max
      value: -21.032199268806018
    - type: nauc_map_at_100_std
      value: 5.370650925959299
    - type: nauc_map_at_10_diff1
      value: 14.176770339374578
    - type: nauc_map_at_10_max
      value: -19.194036092916633
    - type: nauc_map_at_10_std
      value: -14.964801890692026
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      value: 16.059944358241733
    - type: nauc_map_at_1_max
      value: -25.302527766801695
    - type: nauc_map_at_1_std
      value: -13.565207797491604
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      value: 11.361043123465297
    - type: nauc_map_at_20_max
      value: -18.0301938420575
    - type: nauc_map_at_20_std
      value: -7.25573010108597
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      value: 21.973707928327727
    - type: nauc_map_at_3_max
      value: -20.079194093834058
    - type: nauc_map_at_3_std
      value: -20.173080790091422
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      value: 19.669071376698206
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      value: -23.679751632414845
    - type: nauc_map_at_5_std
      value: -20.28001860761147
    - type: nauc_mrr_at_1000_diff1
      value: 6.875737447320781
    - type: nauc_mrr_at_1000_max
      value: -44.8769334243922
    - type: nauc_mrr_at_1000_std
      value: 7.361962913444513
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      value: 6.875737447320781
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      value: -44.8769334243922
    - type: nauc_mrr_at_100_std
      value: 7.361962913444513
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      value: 6.574806453972689
    - type: nauc_mrr_at_10_max
      value: -47.267277277496596
    - type: nauc_mrr_at_10_std
      value: 8.783148855636174
    - type: nauc_mrr_at_1_diff1
      value: 12.940754496022242
    - type: nauc_mrr_at_1_max
      value: -35.544013626458145
    - type: nauc_mrr_at_1_std
      value: 6.0616339439628915
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      value: 7.179017109424859
    - type: nauc_mrr_at_20_max
      value: -45.52183055340191
    - type: nauc_mrr_at_20_std
      value: 6.960503593984209
    - type: nauc_mrr_at_3_diff1
      value: 2.10431985300728
    - type: nauc_mrr_at_3_max
      value: -41.662819302741184
    - type: nauc_mrr_at_3_std
      value: 5.68448693989341
    - type: nauc_mrr_at_5_diff1
      value: 5.25929369032379
    - type: nauc_mrr_at_5_max
      value: -44.62592534259141
    - type: nauc_mrr_at_5_std
      value: 6.26151671868977
    - type: nauc_ndcg_at_1000_diff1
      value: -6.563466320842519
    - type: nauc_ndcg_at_1000_max
      value: -33.15200693567147
    - type: nauc_ndcg_at_1000_std
      value: 29.09290649197198
    - type: nauc_ndcg_at_100_diff1
      value: -4.290185637900728
    - type: nauc_ndcg_at_100_max
      value: -35.6991058391752
    - type: nauc_ndcg_at_100_std
      value: 24.47606141799262
    - type: nauc_ndcg_at_10_diff1
      value: 4.171305930645993
    - type: nauc_ndcg_at_10_max
      value: -33.02156808389195
    - type: nauc_ndcg_at_10_std
      value: -0.7115167969929295
    - type: nauc_ndcg_at_1_diff1
      value: 4.295135743080979
    - type: nauc_ndcg_at_1_max
      value: -30.841816609035575
    - type: nauc_ndcg_at_1_std
      value: 11.08702259742227
    - type: nauc_ndcg_at_20_diff1
      value: 5.716130418772172
    - type: nauc_ndcg_at_20_max
      value: -32.02017772879846
    - type: nauc_ndcg_at_20_std
      value: 0.42043490374547515
    - type: nauc_ndcg_at_3_diff1
      value: 0.7696408676847266
    - type: nauc_ndcg_at_3_max
      value: -28.19446012238678
    - type: nauc_ndcg_at_3_std
      value: 1.4270173161697919
    - type: nauc_ndcg_at_5_diff1
      value: 4.011877087450832
    - type: nauc_ndcg_at_5_max
      value: -35.474817068811866
    - type: nauc_ndcg_at_5_std
      value: -1.0183501951460643
    - type: nauc_precision_at_1000_diff1
      value: -18.852617887278956
    - type: nauc_precision_at_1000_max
      value: 26.536677685298997
    - type: nauc_precision_at_1000_std
      value: 31.17777014427175
    - type: nauc_precision_at_100_diff1
      value: -21.993356262198738
    - type: nauc_precision_at_100_max
      value: -14.151354806872973
    - type: nauc_precision_at_100_std
      value: 68.01931004336306
    - type: nauc_precision_at_10_diff1
      value: 3.518175306600991
    - type: nauc_precision_at_10_max
      value: -34.29876549408336
    - type: nauc_precision_at_10_std
      value: 8.571886047048881
    - type: nauc_precision_at_1_diff1
      value: 12.940754496022242
    - type: nauc_precision_at_1_max
      value: -35.544013626458145
    - type: nauc_precision_at_1_std
      value: 6.0616339439628915
    - type: nauc_precision_at_20_diff1
      value: 6.23454071647187
    - type: nauc_precision_at_20_max
      value: -29.16565290719762
    - type: nauc_precision_at_20_std
      value: 25.567483624610297
    - type: nauc_precision_at_3_diff1
      value: 8.77511441582519
    - type: nauc_precision_at_3_max
      value: -29.389312907952135
    - type: nauc_precision_at_3_std
      value: -6.397150206890867
    - type: nauc_precision_at_5_diff1
      value: 9.795445750266063
    - type: nauc_precision_at_5_max
      value: -38.88827845334236
    - type: nauc_precision_at_5_std
      value: -3.397760151003072
    - type: nauc_recall_at_1000_diff1
      value: -28.033327034031043
    - type: nauc_recall_at_1000_max
      value: -15.30930042500693
    - type: nauc_recall_at_1000_std
      value: 69.27496829698434
    - type: nauc_recall_at_100_diff1
      value: -12.558500592244782
    - type: nauc_recall_at_100_max
      value: -27.109814142314832
    - type: nauc_recall_at_100_std
      value: 40.23660136119213
    - type: nauc_recall_at_10_diff1
      value: 8.859020421080002
    - type: nauc_recall_at_10_max
      value: -26.101835112681034
    - type: nauc_recall_at_10_std
      value: -12.02508230851673
    - type: nauc_recall_at_1_diff1
      value: 16.059944358241733
    - type: nauc_recall_at_1_max
      value: -25.302527766801695
    - type: nauc_recall_at_1_std
      value: -13.565207797491604
    - type: nauc_recall_at_20_diff1
      value: 6.598503996413421
    - type: nauc_recall_at_20_max
      value: -25.661355219947264
    - type: nauc_recall_at_20_std
      value: -0.5270972932429998
    - type: nauc_recall_at_3_diff1
      value: 15.848752699477423
    - type: nauc_recall_at_3_max
      value: -20.67227958185249
    - type: nauc_recall_at_3_std
      value: -19.687883601951533
    - type: nauc_recall_at_5_diff1
      value: 15.210234895525055
    - type: nauc_recall_at_5_max
      value: -30.20253332454299
    - type: nauc_recall_at_5_std
      value: -19.986130369906242
    - type: ndcg_at_1
      value: 40.816
    - type: ndcg_at_10
      value: 31.186999999999998
    - type: ndcg_at_100
      value: 42.742000000000004
    - type: ndcg_at_1000
      value: 53.230999999999995
    - type: ndcg_at_20
      value: 31.057000000000002
    - type: ndcg_at_3
      value: 34.382000000000005
    - type: ndcg_at_5
      value: 32.038
    - type: precision_at_1
      value: 44.897999999999996
    - type: precision_at_10
      value: 27.143
    - type: precision_at_100
      value: 8.735
    - type: precision_at_1000
      value: 1.59
    - type: precision_at_20
      value: 19.898
    - type: precision_at_3
      value: 34.694
    - type: precision_at_5
      value: 31.019999999999996
    - type: recall_at_1
      value: 3.4070000000000005
    - type: recall_at_10
      value: 19.987
    - type: recall_at_100
      value: 52.888999999999996
    - type: recall_at_1000
      value: 85.172
    - type: recall_at_20
      value: 27.025
    - type: recall_at_3
      value: 7.774
    - type: recall_at_5
      value: 11.571
  - task:
      type: Classification
    dataset:
      name: MTEB ToxicConversationsClassification
      type: mteb/toxic_conversations_50k
      config: default
      split: test
      revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
    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:
      name: MTEB TweetSentimentExtractionClassification
      type: mteb/tweet_sentiment_extraction
      config: default
      split: test
      revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
    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: Clustering
    dataset:
      name: MTEB TwentyNewsgroupsClustering
      type: mteb/twentynewsgroups-clustering
      config: default
      split: test
      revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
    metrics:
    - type: main_score
      value: 49.554702818248735
    - type: v_measure
      value: 49.554702818248735
    - type: v_measure_std
      value: 0.9278298624304031
  - task:
      type: PairClassification
    dataset:
      name: MTEB TwitterSemEval2015
      type: mteb/twittersemeval2015-pairclassification
      config: default
      split: test
      revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
    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:
      name: MTEB TwitterURLCorpus
      type: mteb/twitterurlcorpus-pairclassification
      config: default
      split: test
      revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
    metrics:
    - type: cosine_accuracy
      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: STS
    dataset:
      name: MTEB AFQMC
      type: C-MTEB/AFQMC
      config: default
      split: validation
      revision: b44c3b011063adb25877c13823db83bb193913c4
    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:
      name: MTEB ATEC
      type: C-MTEB/ATEC
      config: default
      split: test
      revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
    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: Classification
    dataset:
      name: MTEB AmazonReviewsClassification (zh)
      type: mteb/amazon_reviews_multi
      config: zh
      split: test
      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
    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: STS
    dataset:
      name: MTEB BQ
      type: C-MTEB/BQ
      config: default
      split: test
      revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
    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: Clustering
    dataset:
      name: MTEB CLSClusteringP2P
      type: C-MTEB/CLSClusteringP2P
      config: default
      split: test
      revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
    metrics:
    - type: main_score
      value: 41.608876653105966
    - type: v_measure
      value: 41.608876653105966
    - type: v_measure_std
      value: 1.0624705258546963
  - task:
      type: Clustering
    dataset:
      name: MTEB CLSClusteringS2S
      type: C-MTEB/CLSClusteringS2S
      config: default
      split: test
      revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
    metrics:
    - type: main_score
      value: 39.7110966049789
    - type: v_measure
      value: 39.7110966049789
    - type: v_measure_std
      value: 0.875231943450341
  - task:
      type: Reranking
    dataset:
      name: MTEB CMedQAv1
      type: C-MTEB/CMedQAv1-reranking
      config: default
      split: test
      revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
    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:
      name: MTEB CMedQAv2
      type: C-MTEB/CMedQAv2-reranking
      config: default
      split: test
      revision: 23d186750531a14a0357ca22cd92d712fd512ea0
    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: Retrieval
    dataset:
      name: MTEB CmedqaRetrieval
      type: C-MTEB/CmedqaRetrieval
      config: default
      split: dev
      revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
    metrics:
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      value: 42.631
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      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
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    - type: mrr_at_100
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    - type: mrr_at_1000
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    - type: mrr_at_20
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    - type: mrr_at_5
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      value: -2.684326419049642
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      value: 0.4003726817671297
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      value: 4.531204029823331
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      value: 42.00621213856077
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    - type: nauc_recall_at_100_std
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      value: 28.566945065867454
    - type: nauc_recall_at_10_std
      value: -2.1058035354561557
    - type: nauc_recall_at_1_diff1
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      value: 26.033202075590157
    - type: nauc_recall_at_1_std
      value: -5.756330655143574
    - type: nauc_recall_at_20_diff1
      value: 33.82932775397309
    - type: nauc_recall_at_20_max
      value: 29.679872190739044
    - type: nauc_recall_at_20_std
      value: 0.10165951410954753
    - type: nauc_recall_at_3_diff1
      value: 42.53700938223526
    - type: nauc_recall_at_3_max
      value: 27.477725171266385
    - type: nauc_recall_at_3_std
      value: -5.201557627828334
    - type: nauc_recall_at_5_diff1
      value: 39.158896850349116
    - type: nauc_recall_at_5_max
      value: 27.90842581577196
    - type: nauc_recall_at_5_std
      value: -3.646479982111823
    - type: ndcg_at_1
      value: 38.06
    - type: ndcg_at_10
      value: 42.631
    - type: ndcg_at_100
      value: 49.114000000000004
    - type: ndcg_at_1000
      value: 51.745
    - type: ndcg_at_20
      value: 44.895
    - type: ndcg_at_3
      value: 38.153999999999996
    - type: ndcg_at_5
      value: 39.994
    - type: precision_at_1
      value: 38.06
    - type: precision_at_10
      value: 9.35
    - type: precision_at_100
      value: 1.471
    - type: precision_at_1000
      value: 0.181
    - type: precision_at_20
      value: 5.461
    - type: precision_at_3
      value: 21.555
    - type: precision_at_5
      value: 15.443999999999999
    - type: recall_at_1
      value: 24.834
    - type: recall_at_10
      value: 51.881
    - type: recall_at_100
      value: 79.095
    - type: recall_at_1000
      value: 97.077
    - type: recall_at_20
      value: 59.471
    - type: recall_at_3
      value: 37.836
    - type: recall_at_5
      value: 43.913999999999994
  - task:
      type: PairClassification
    dataset:
      name: MTEB Cmnli
      type: C-MTEB/CMNLI
      config: default
      split: validation
      revision: 41bc36f332156f7adc9e38f53777c959b2ae9766
    metrics:
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      value: 69.29645219482863
    - type: cosine_accuracy_threshold
      value: 83.89029502868652
    - type: cosine_ap
      value: 76.28529631089978
    - type: cosine_f1
      value: 72.18316549496485
    - type: cosine_f1_threshold
      value: 79.37869429588318
    - type: cosine_precision
      value: 60.79372699631941
    - type: cosine_recall
      value: 88.82394201543138
    - type: dot_accuracy
      value: 69.29645219482863
    - type: dot_accuracy_threshold
      value: 83.890300989151
    - type: dot_ap
      value: 76.28533525182606
    - type: dot_f1
      value: 72.18316549496485
    - type: dot_f1_threshold
      value: 79.37869429588318
    - type: dot_precision
      value: 60.79372699631941
    - type: dot_recall
      value: 88.82394201543138
    - type: euclidean_accuracy
      value: 69.29645219482863
    - type: euclidean_accuracy_threshold
      value: 56.762146949768066
    - type: euclidean_ap
      value: 76.28547969937172
    - type: euclidean_f1
      value: 72.18316549496485
    - type: euclidean_f1_threshold
      value: 64.22040462493896
    - type: euclidean_precision
      value: 60.79372699631941
    - type: euclidean_recall
      value: 88.82394201543138
    - type: main_score
      value: 76.28547969937172
    - type: manhattan_accuracy
      value: 68.86349969933855
    - type: manhattan_accuracy_threshold
      value: 1325.539207458496
    - type: manhattan_ap
      value: 75.73527179489312
    - type: manhattan_f1
      value: 71.93284110448064
    - type: manhattan_f1_threshold
      value: 1450.2345085144043
    - type: manhattan_precision
      value: 63.386809269162214
    - type: manhattan_recall
      value: 83.14238952536824
    - type: max_ap
      value: 76.28547969937172
    - type: max_f1
      value: 72.18316549496485
    - type: max_precision
      value: 63.386809269162214
    - type: max_recall
      value: 88.82394201543138
    - type: similarity_accuracy
      value: 69.29645219482863
    - type: similarity_accuracy_threshold
      value: 83.89029502868652
    - type: similarity_ap
      value: 76.28529631089978
    - type: similarity_f1
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    - type: similarity_f1_threshold
      value: 79.37869429588318
    - type: similarity_precision
      value: 60.79372699631941
    - type: similarity_recall
      value: 88.82394201543138
  - task:
      type: Retrieval
    dataset:
      name: MTEB CovidRetrieval
      type: C-MTEB/CovidRetrieval
      config: default
      split: dev
      revision: 1271c7809071a13532e05f25fb53511ffce77117
    metrics:
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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_100
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    - type: mrr_at_1000
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    - type: mrr_at_3
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    - type: mrr_at_5
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  - task:
      type: Classification
    dataset:
      name: MTEB IFlyTek
      type: C-MTEB/IFlyTek-classification
      config: default
      split: validation
      revision: 421605374b29664c5fc098418fe20ada9bd55f8a
    metrics:
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      value: 49.188149288187766
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      value: 35.82742058478872
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      value: 46.33812923348324
    - type: main_score
      value: 49.188149288187766
  - task:
      type: Classification
    dataset:
      name: MTEB JDReview
      type: C-MTEB/JDReview-classification
      config: default
      split: test
      revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
    metrics:
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      value: 83.45215759849907
    - type: ap
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    - type: ap_weighted
      value: 49.602287249765666
    - type: f1
      value: 77.84519218126933
    - type: f1_weighted
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    - type: main_score
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  - task:
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    dataset:
      name: MTEB LCQMC
      type: C-MTEB/LCQMC
      config: default
      split: test
      revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
    metrics:
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    - type: cosine_spearman
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    - type: euclidean_pearson
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    - type: euclidean_spearman
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    - type: main_score
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    - type: manhattan_pearson
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    - type: manhattan_spearman
      value: 70.3453886791424
    - type: pearson
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    - type: spearman
      value: 70.38648345929874
  - task:
      type: Reranking
    dataset:
      name: MTEB MMarcoReranking
      type: C-MTEB/Mmarco-reranking
      config: default
      split: dev
      revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6
    metrics:
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    - type: map
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    - type: mrr
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    - type: nAUC_map_diff1
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  - task:
      type: Retrieval
    dataset:
      name: MTEB MMarcoRetrieval
      type: C-MTEB/MMarcoRetrieval
      config: default
      split: dev
      revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
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    - type: map_at_100
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    - type: map_at_3
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    - type: map_at_5
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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
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    - type: recall_at_20
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    - type: recall_at_3
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    - type: recall_at_5
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  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (zh-CN)
      type: mteb/amazon_massive_intent
      config: zh-CN
      split: test
      revision: 4672e20407010da34463acc759c162ca9734bca6
    metrics:
    - type: accuracy
      value: 70.94149293880295
    - type: f1
      value: 67.43015916458866
    - type: f1_weighted
      value: 70.02165762549619
    - type: main_score
      value: 70.94149293880295
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (zh-TW)
      type: mteb/amazon_massive_intent
      config: zh-TW
      split: test
      revision: 4672e20407010da34463acc759c162ca9734bca6
    metrics:
    - type: accuracy
      value: 63.05312710154675
    - type: f1
      value: 61.11778922874984
    - type: f1_weighted
      value: 61.425454449692396
    - type: main_score
      value: 63.05312710154675
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (zh-CN)
      type: mteb/amazon_massive_scenario
      config: zh-CN
      split: test
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
    metrics:
    - type: accuracy
      value: 77.79757901815736
    - type: f1
      value: 76.85610655879204
    - type: f1_weighted
      value: 77.36623686607157
    - type: main_score
      value: 77.79757901815736
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (zh-TW)
      type: mteb/amazon_massive_scenario
      config: zh-TW
      split: test
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
    metrics:
    - type: accuracy
      value: 71.34498991257566
    - type: f1
      value: 71.42538497861686
    - type: f1_weighted
      value: 70.47776598531958
    - type: main_score
      value: 71.34498991257566
  - task:
      type: Retrieval
    dataset:
      name: MTEB MedicalRetrieval
      type: C-MTEB/MedicalRetrieval
      config: default
      split: dev
      revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
    metrics:
    - type: main_score
      value: 57.528999999999996
    - type: map_at_1
      value: 48.699999999999996
    - type: map_at_10
      value: 54.674
    - type: map_at_100
      value: 55.187
    - type: map_at_1000
      value: 55.24
    - type: map_at_20
      value: 54.933
    - type: map_at_3
      value: 53.367
    - type: map_at_5
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    - type: mrr_at_1
      value: 48.8
    - type: mrr_at_10
      value: 54.71369047619046
    - type: mrr_at_100
      value: 55.23606881716415
    - type: mrr_at_1000
      value: 55.2887596380029
    - type: mrr_at_20
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    - type: mrr_at_3
      value: 53.41666666666666
    - type: mrr_at_5
      value: 54.131666666666646
    - type: nauc_map_at_1000_diff1
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    - type: ndcg_at_100
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    - type: ndcg_at_1000
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    - type: ndcg_at_5
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    - type: precision_at_1
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    - type: precision_at_10
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    - type: precision_at_100
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    - type: precision_at_3
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    - type: precision_at_5
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    - type: recall_at_1
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    - type: recall_at_10
      value: 66.5
    - type: recall_at_100
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    - type: recall_at_1000
      value: 93.2
    - type: recall_at_20
      value: 70.5
    - type: recall_at_3
      value: 59.0
    - type: recall_at_5
      value: 62.1
  - task:
      type: Classification
    dataset:
      name: MTEB MultilingualSentiment
      type: C-MTEB/MultilingualSentiment-classification
      config: default
      split: test
      revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
    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: PairClassification
    dataset:
      name: MTEB Ocnli
      type: C-MTEB/OCNLI
      config: default
      split: validation
      revision: 66e76a618a34d6d565d5538088562851e6daa7ec
    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: Classification
    dataset:
      name: MTEB OnlineShopping
      type: C-MTEB/OnlineShopping-classification
      config: default
      split: test
      revision: e610f2ebd179a8fda30ae534c3878750a96db120
    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: STS
    dataset:
      name: MTEB PAWSX
      type: C-MTEB/PAWSX
      config: default
      split: test
      revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
    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:
      name: MTEB QBQTC
      type: C-MTEB/QBQTC
      config: default
      split: test
      revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
    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:
      name: MTEB STS22 (zh)
      type: mteb/sts22-crosslingual-sts
      config: zh
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    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:
      name: MTEB STSB
      type: C-MTEB/STSB
      config: default
      split: test
      revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
    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: Reranking
    dataset:
      name: MTEB T2Reranking
      type: C-MTEB/T2Reranking
      config: default
      split: dev
      revision: 76631901a18387f85eaa53e5450019b87ad58ef9
    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: Retrieval
    dataset:
      name: MTEB T2Retrieval
      type: C-MTEB/T2Retrieval
      config: default
      split: dev
      revision: 8731a845f1bf500a4f111cf1070785c793d10e64
    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
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      value: 19.599553856210008
    - type: nauc_map_at_10_max
      value: 30.246318219245573
    - type: nauc_map_at_10_std
      value: 5.914404965156733
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      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
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  - task:
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    dataset:
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      type: C-MTEB/TNews-classification
      config: default
      split: validation
      revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
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    - type: main_score
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  - task:
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    dataset:
      name: MTEB ThuNewsClusteringP2P
      type: C-MTEB/ThuNewsClusteringP2P
      config: default
      split: test
      revision: 5798586b105c0434e4f0fe5e767abe619442cf93
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    - type: v_measure
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  - task:
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    dataset:
      name: MTEB ThuNewsClusteringS2S
      type: C-MTEB/ThuNewsClusteringS2S
      config: default
      split: test
      revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
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    - type: v_measure
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  - task:
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    dataset:
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      type: C-MTEB/VideoRetrieval
      config: default
      split: dev
      revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
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  - task:
      type: Classification
    dataset:
      name: MTEB Waimai
      type: C-MTEB/waimai-classification
      config: default
      split: test
      revision: 339287def212450dcaa9df8c22bf93e9980c7023
    metrics:
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    - type: ap
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    - type: f1
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  - task:
      type: Clustering
    dataset:
      name: MTEB AlloProfClusteringP2P
      type: lyon-nlp/alloprof
      config: default
      split: test
      revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
    metrics:
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  - task:
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    dataset:
      name: MTEB AlloprofReranking
      type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
      config: default
      split: test
      revision: 65393d0d7a08a10b4e348135e824f385d420b0fd
    metrics:
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  - task:
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    dataset:
      name: MTEB AlloprofRetrieval
      type: lyon-nlp/alloprof
      config: default
      split: test
      revision: fcf295ea64c750f41fadbaa37b9b861558e1bfbd
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  - task:
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      type: mteb/amazon_reviews_multi
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      revision: 1399c76144fd37290681b995c656ef9b2e06e26d
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  - task:
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      type: maastrichtlawtech/bsard
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  - task:
      type: Clustering
    dataset:
      name: MTEB HALClusteringS2S
      type: lyon-nlp/clustering-hal-s2s
      config: default
      split: test
      revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
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  - task:
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    dataset:
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      type: reciTAL/mlsum
      config: fr
      split: test
      revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
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  - task:
      type: Classification
    dataset:
      name: MTEB MTOPDomainClassification (fr)
      type: mteb/mtop_domain
      config: fr
      split: test
      revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
    metrics:
    - type: accuracy
      value: 95.78766050735986
    - type: f1
      value: 95.61497706645892
    - type: f1_weighted
      value: 95.79887587161483
    - type: main_score
      value: 95.78766050735986
  - task:
      type: Classification
    dataset:
      name: MTEB MTOPIntentClassification (fr)
      type: mteb/mtop_intent
      config: fr
      split: test
      revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
    metrics:
    - type: accuracy
      value: 80.8800501096148
    - type: f1
      value: 53.9945274705194
    - type: f1_weighted
      value: 80.94438738414857
    - type: main_score
      value: 80.8800501096148
  - task:
      type: Classification
    dataset:
      name: MTEB MasakhaNEWSClassification (fra)
      type: mteb/masakhanews
      config: fra
      split: test
      revision: 18193f187b92da67168c655c9973a165ed9593dd
    metrics:
    - type: accuracy
      value: 83.6255924170616
    - type: f1
      value: 79.70294641135138
    - type: f1_weighted
      value: 83.33457992982105
    - type: main_score
      value: 83.6255924170616
  - task:
      type: Clustering
    dataset:
      name: MTEB MasakhaNEWSClusteringP2P (fra)
      type: masakhane/masakhanews
      config: fra
      split: test
      revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
    metrics:
    - type: main_score
      value: 77.1970570860131
    - type: v_measure
      value: 77.1970570860131
    - type: v_measure_std
      value: 22.0055550035463
    - type: main_score
      value: 65.92601417312947
    - type: v_measure
      value: 65.92601417312947
    - type: v_measure_std
      value: 30.421071440935687
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (fr)
      type: mteb/amazon_massive_intent
      config: fr
      split: test
      revision: 4672e20407010da34463acc759c162ca9734bca6
    metrics:
    - type: accuracy
      value: 69.5359784801614
    - type: f1
      value: 64.640488940591
    - type: f1_weighted
      value: 67.85916565361048
    - type: main_score
      value: 69.5359784801614
  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (fr)
      type: mteb/amazon_massive_scenario
      config: fr
      split: test
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
    metrics:
    - type: accuracy
      value: 78.52723604572965
    - type: f1
      value: 77.1995224144067
    - type: f1_weighted
      value: 78.1215987283123
    - type: main_score
      value: 78.52723604572965
  - task:
      type: Retrieval
    dataset:
      name: MTEB MintakaRetrieval (fr)
      type: jinaai/mintakaqa
      config: fr
      split: test
      revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
    metrics:
    - type: main_score
      value: 26.448
    - type: map_at_1
      value: 14.947
    - type: map_at_10
      value: 22.303
    - type: map_at_100
      value: 23.477999999999998
    - type: map_at_1000
      value: 23.586
    - type: map_at_20
      value: 22.962
    - type: map_at_3
      value: 19.949
    - type: map_at_5
      value: 21.252
    - type: mrr_at_1
      value: 14.946764946764945
    - type: mrr_at_10
      value: 22.303001053001033
    - type: mrr_at_100
      value: 23.478040499941816
    - type: mrr_at_1000
      value: 23.585987565381252
    - type: mrr_at_20
      value: 22.96198948271138
    - type: mrr_at_3
      value: 19.949494949494913
    - type: mrr_at_5
      value: 21.251706251706192
    - type: nauc_map_at_1000_diff1
      value: 30.124123232611005
    - type: nauc_map_at_1000_max
      value: 19.329718056410893
    - type: nauc_map_at_1000_std
      value: 3.7304142418877606
    - type: nauc_map_at_100_diff1
      value: 30.06763654065989
    - type: nauc_map_at_100_max
      value: 19.339926348634375
    - type: nauc_map_at_100_std
      value: 3.7507886962889376
    - type: nauc_map_at_10_diff1
      value: 30.235621359267817
    - type: nauc_map_at_10_max
      value: 19.315231135265865
    - type: nauc_map_at_10_std
      value: 3.888262415552999
    - type: nauc_map_at_1_diff1
      value: 37.87356036243269
    - type: nauc_map_at_1_max
      value: 17.63892349776284
    - type: nauc_map_at_1_std
      value: -2.0575597858386208
    - type: nauc_map_at_20_diff1
      value: 30.06800385756772
    - type: nauc_map_at_20_max
      value: 19.172804564418264
    - type: nauc_map_at_20_std
      value: 3.721149536049358
    - type: nauc_map_at_3_diff1
      value: 32.09160567273595
    - type: nauc_map_at_3_max
      value: 19.055280691204825
    - type: nauc_map_at_3_std
      value: 1.9160849079572526
    - type: nauc_map_at_5_diff1
      value: 30.81034541116131
    - type: nauc_map_at_5_max
      value: 19.172166581396308
    - type: nauc_map_at_5_std
      value: 3.251197681984862
    - type: nauc_mrr_at_1000_diff1
      value: 30.12412337741088
    - type: nauc_mrr_at_1000_max
      value: 19.329717809214035
    - type: nauc_mrr_at_1000_std
      value: 3.730414425912248
    - type: nauc_mrr_at_100_diff1
      value: 30.06763654065989
    - type: nauc_mrr_at_100_max
      value: 19.339926348634375
    - type: nauc_mrr_at_100_std
      value: 3.7507886962889376
    - type: nauc_mrr_at_10_diff1
      value: 30.235621359267817
    - type: nauc_mrr_at_10_max
      value: 19.315231135265865
    - type: nauc_mrr_at_10_std
      value: 3.888262415552999
    - type: nauc_mrr_at_1_diff1
      value: 37.87356036243269
    - type: nauc_mrr_at_1_max
      value: 17.63892349776284
    - type: nauc_mrr_at_1_std
      value: -2.0575597858386208
    - type: nauc_mrr_at_20_diff1
      value: 30.06800385756772
    - type: nauc_mrr_at_20_max
      value: 19.172804564418264
    - type: nauc_mrr_at_20_std
      value: 3.721149536049358
    - type: nauc_mrr_at_3_diff1
      value: 32.09160567273595
    - type: nauc_mrr_at_3_max
      value: 19.055280691204825
    - type: nauc_mrr_at_3_std
      value: 1.9160849079572526
    - type: nauc_mrr_at_5_diff1
      value: 30.81034541116131
    - type: nauc_mrr_at_5_max
      value: 19.172166581396308
    - type: nauc_mrr_at_5_std
      value: 3.251197681984862
    - type: nauc_ndcg_at_1000_diff1
      value: 28.057639637340476
    - type: nauc_ndcg_at_1000_max
      value: 20.172072747981893
    - type: nauc_ndcg_at_1000_std
      value: 5.991944827605241
    - type: nauc_ndcg_at_100_diff1
      value: 26.60019642442434
    - type: nauc_ndcg_at_100_max
      value: 20.47271103053784
    - type: nauc_ndcg_at_100_std
      value: 6.489412476969333
    - type: nauc_ndcg_at_10_diff1
      value: 27.165894912173762
    - type: nauc_ndcg_at_10_max
      value: 19.79447862928707
    - type: nauc_ndcg_at_10_std
      value: 6.648857204092722
    - type: nauc_ndcg_at_1_diff1
      value: 37.87356036243269
    - type: nauc_ndcg_at_1_max
      value: 17.63892349776284
    - type: nauc_ndcg_at_1_std
      value: -2.0575597858386208
    - type: nauc_ndcg_at_20_diff1
      value: 26.582793970516843
    - type: nauc_ndcg_at_20_max
      value: 19.348538329936638
    - type: nauc_ndcg_at_20_std
      value: 6.138040315782395
    - type: nauc_ndcg_at_3_diff1
      value: 30.57338000196413
    - type: nauc_ndcg_at_3_max
      value: 19.37852889877986
    - type: nauc_ndcg_at_3_std
      value: 3.0568087546329408
    - type: nauc_ndcg_at_5_diff1
      value: 28.469299405769632
    - type: nauc_ndcg_at_5_max
      value: 19.599386892314122
    - type: nauc_ndcg_at_5_std
      value: 5.299940395199246
    - type: nauc_precision_at_1000_diff1
      value: 24.170281200655943
    - type: nauc_precision_at_1000_max
      value: 39.623019898347664
    - type: nauc_precision_at_1000_std
      value: 44.81985014306762
    - type: nauc_precision_at_100_diff1
      value: 14.474857644755179
    - type: nauc_precision_at_100_max
      value: 26.05636850160609
    - type: nauc_precision_at_100_std
      value: 16.53010919038197
    - type: nauc_precision_at_10_diff1
      value: 19.584122367964167
    - type: nauc_precision_at_10_max
      value: 20.86686195708289
    - type: nauc_precision_at_10_std
      value: 13.525636908101404
    - type: nauc_precision_at_1_diff1
      value: 37.87356036243269
    - type: nauc_precision_at_1_max
      value: 17.63892349776284
    - type: nauc_precision_at_1_std
      value: -2.0575597858386208
    - type: nauc_precision_at_20_diff1
      value: 17.420915050615722
    - type: nauc_precision_at_20_max
      value: 19.45722509579383
    - type: nauc_precision_at_20_std
      value: 12.077196513907348
    - type: nauc_precision_at_3_diff1
      value: 26.865120457860247
    - type: nauc_precision_at_3_max
      value: 20.154933241021354
    - type: nauc_precision_at_3_std
      value: 5.86927947299836
    - type: nauc_precision_at_5_diff1
      value: 22.803351569123205
    - type: nauc_precision_at_5_max
      value: 20.623962388912666
    - type: nauc_precision_at_5_std
      value: 10.348629762758872
    - type: nauc_recall_at_1000_diff1
      value: 24.170281200656042
    - type: nauc_recall_at_1000_max
      value: 39.62301989834765
    - type: nauc_recall_at_1000_std
      value: 44.8198501430671
    - type: nauc_recall_at_100_diff1
      value: 14.474857644755254
    - type: nauc_recall_at_100_max
      value: 26.056368501606116
    - type: nauc_recall_at_100_std
      value: 16.530109190381985
    - type: nauc_recall_at_10_diff1
      value: 19.58412236796417
    - type: nauc_recall_at_10_max
      value: 20.866861957082875
    - type: nauc_recall_at_10_std
      value: 13.5256369081014
    - type: nauc_recall_at_1_diff1
      value: 37.87356036243269
    - type: nauc_recall_at_1_max
      value: 17.63892349776284
    - type: nauc_recall_at_1_std
      value: -2.0575597858386208
    - type: nauc_recall_at_20_diff1
      value: 17.420915050615708
    - type: nauc_recall_at_20_max
      value: 19.45722509579385
    - type: nauc_recall_at_20_std
      value: 12.077196513907353
    - type: nauc_recall_at_3_diff1
      value: 26.865120457860243
    - type: nauc_recall_at_3_max
      value: 20.15493324102137
    - type: nauc_recall_at_3_std
      value: 5.869279472998389
    - type: nauc_recall_at_5_diff1
      value: 22.803351569123215
    - type: nauc_recall_at_5_max
      value: 20.62396238891266
    - type: nauc_recall_at_5_std
      value: 10.348629762758849
    - type: ndcg_at_1
      value: 14.947
    - type: ndcg_at_10
      value: 26.448
    - type: ndcg_at_100
      value: 32.78
    - type: ndcg_at_1000
      value: 35.937000000000005
    - type: ndcg_at_20
      value: 28.842000000000002
    - type: ndcg_at_3
      value: 21.587999999999997
    - type: ndcg_at_5
      value: 23.942
    - type: precision_at_1
      value: 14.947
    - type: precision_at_10
      value: 3.972
    - type: precision_at_100
      value: 0.7080000000000001
    - type: precision_at_1000
      value: 0.096
    - type: precision_at_20
      value: 2.459
    - type: precision_at_3
      value: 8.777
    - type: precision_at_5
      value: 6.413
    - type: recall_at_1
      value: 14.947
    - type: recall_at_10
      value: 39.722
    - type: recall_at_100
      value: 70.844
    - type: recall_at_1000
      value: 96.274
    - type: recall_at_20
      value: 49.181000000000004
    - type: recall_at_3
      value: 26.331
    - type: recall_at_5
      value: 32.064
  - task:
      type: PairClassification
    dataset:
      name: MTEB OpusparcusPC (fr)
      type: GEM/opusparcus
      config: fr
      split: test
      revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
    metrics:
    - type: cosine_accuracy
      value: 82.62942779291554
    - type: cosine_accuracy_threshold
      value: 83.4860622882843
    - type: cosine_ap
      value: 93.39616519364185
    - type: cosine_f1
      value: 88.03378695448146
    - type: cosine_f1_threshold
      value: 83.4860622882843
    - type: cosine_precision
      value: 83.45195729537367
    - type: cosine_recall
      value: 93.14796425024826
    - type: dot_accuracy
      value: 82.62942779291554
    - type: dot_accuracy_threshold
      value: 83.4860622882843
    - type: dot_ap
      value: 93.39616519364185
    - type: dot_f1
      value: 88.03378695448146
    - type: dot_f1_threshold
      value: 83.4860622882843
    - type: dot_precision
      value: 83.45195729537367
    - type: dot_recall
      value: 93.14796425024826
    - type: euclidean_accuracy
      value: 82.62942779291554
    - type: euclidean_accuracy_threshold
      value: 57.4698805809021
    - type: euclidean_ap
      value: 93.39616519364185
    - type: euclidean_f1
      value: 88.03378695448146
    - type: euclidean_f1_threshold
      value: 57.4698805809021
    - type: euclidean_precision
      value: 83.45195729537367
    - type: euclidean_recall
      value: 93.14796425024826
    - type: main_score
      value: 93.39616519364185
    - type: manhattan_accuracy
      value: 82.62942779291554
    - type: manhattan_accuracy_threshold
      value: 1306.7530632019043
    - type: manhattan_ap
      value: 93.34098710518775
    - type: manhattan_f1
      value: 87.78409090909089
    - type: manhattan_f1_threshold
      value: 1335.2685928344727
    - type: manhattan_precision
      value: 83.89140271493213
    - type: manhattan_recall
      value: 92.05561072492551
    - type: max_ap
      value: 93.39616519364185
    - type: max_f1
      value: 88.03378695448146
    - type: max_precision
      value: 83.89140271493213
    - type: max_recall
      value: 93.14796425024826
    - type: similarity_accuracy
      value: 82.62942779291554
    - type: similarity_accuracy_threshold
      value: 83.4860622882843
    - type: similarity_ap
      value: 93.39616519364185
    - type: similarity_f1
      value: 88.03378695448146
    - type: similarity_f1_threshold
      value: 83.4860622882843
    - type: similarity_precision
      value: 83.45195729537367
    - type: similarity_recall
      value: 93.14796425024826
  - task:
      type: PairClassification
    dataset:
      name: MTEB PawsXPairClassification (fr)
      type: google-research-datasets/paws-x
      config: fr
      split: test
      revision: 8a04d940a42cd40658986fdd8e3da561533a3646
    metrics:
    - type: cosine_accuracy
      value: 60.8
    - type: cosine_accuracy_threshold
      value: 98.90193939208984
    - type: cosine_ap
      value: 60.50913122978733
    - type: cosine_f1
      value: 62.69411339833874
    - type: cosine_f1_threshold
      value: 95.17210125923157
    - type: cosine_precision
      value: 46.51661307609861
    - type: cosine_recall
      value: 96.12403100775194
    - type: dot_accuracy
      value: 60.8
    - type: dot_accuracy_threshold
      value: 98.9019513130188
    - type: dot_ap
      value: 60.49770725998639
    - type: dot_f1
      value: 62.69411339833874
    - type: dot_f1_threshold
      value: 95.17210721969604
    - type: dot_precision
      value: 46.51661307609861
    - type: dot_recall
      value: 96.12403100775194
    - type: euclidean_accuracy
      value: 60.8
    - type: euclidean_accuracy_threshold
      value: 14.819307625293732
    - type: euclidean_ap
      value: 60.50917425308617
    - type: euclidean_f1
      value: 62.69411339833874
    - type: euclidean_f1_threshold
      value: 31.07377290725708
    - type: euclidean_precision
      value: 46.51661307609861
    - type: euclidean_recall
      value: 96.12403100775194
    - type: main_score
      value: 60.73371250119265
    - type: manhattan_accuracy
      value: 60.9
    - type: manhattan_accuracy_threshold
      value: 354.8734188079834
    - type: manhattan_ap
      value: 60.73371250119265
    - type: manhattan_f1
      value: 62.70506744440393
    - type: manhattan_f1_threshold
      value: 711.578369140625
    - type: manhattan_precision
      value: 46.73913043478261
    - type: manhattan_recall
      value: 95.23809523809523
    - type: max_ap
      value: 60.73371250119265
    - type: max_f1
      value: 62.70506744440393
    - type: max_precision
      value: 46.73913043478261
    - type: max_recall
      value: 96.12403100775194
    - type: similarity_accuracy
      value: 60.8
    - type: similarity_accuracy_threshold
      value: 98.90193939208984
    - type: similarity_ap
      value: 60.50913122978733
    - type: similarity_f1
      value: 62.69411339833874
    - type: similarity_f1_threshold
      value: 95.17210125923157
    - type: similarity_precision
      value: 46.51661307609861
    - type: similarity_recall
      value: 96.12403100775194
  - task:
      type: STS
    dataset:
      name: MTEB SICKFr
      type: Lajavaness/SICK-fr
      config: default
      split: test
      revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
    metrics:
    - type: cosine_pearson
      value: 81.02846310969592
    - type: cosine_spearman
      value: 77.47140335069184
    - type: euclidean_pearson
      value: 77.4818795209704
    - type: euclidean_spearman
      value: 77.4714043813526
    - type: main_score
      value: 77.47140335069184
    - type: manhattan_pearson
      value: 77.44622115854098
    - type: manhattan_spearman
      value: 77.29743297817558
    - type: pearson
      value: 81.02846310969592
    - type: spearman
      value: 77.47140335069184
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (fr)
      type: mteb/sts22-crosslingual-sts
      config: fr
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 77.1356210910051
    - type: cosine_spearman
      value: 81.7065039306575
    - type: euclidean_pearson
      value: 79.32575551712296
    - type: euclidean_spearman
      value: 81.75624482168821
    - type: main_score
      value: 81.7065039306575
    - type: manhattan_pearson
      value: 81.05436417153798
    - type: manhattan_spearman
      value: 82.13370902176736
    - type: pearson
      value: 77.1356210910051
    - type: spearman
      value: 81.7065039306575
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (de-fr)
      type: mteb/sts22-crosslingual-sts
      config: de-fr
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 61.40659325490285
    - type: cosine_spearman
      value: 64.21007088135842
    - type: euclidean_pearson
      value: 61.051174476106
    - type: euclidean_spearman
      value: 64.21007088135842
    - type: main_score
      value: 64.21007088135842
    - type: manhattan_pearson
      value: 60.225817072214525
    - type: manhattan_spearman
      value: 64.32288638294209
    - type: pearson
      value: 61.40659325490285
    - type: spearman
      value: 64.21007088135842
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (fr-pl)
      type: mteb/sts22-crosslingual-sts
      config: fr-pl
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
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      value: 88.17138238483673
    - type: cosine_spearman
      value: 84.51542547285167
    - type: euclidean_pearson
      value: 87.99782696047525
    - type: euclidean_spearman
      value: 84.51542547285167
    - type: main_score
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    - type: manhattan_pearson
      value: 85.811937669563
    - type: manhattan_spearman
      value: 84.51542547285167
    - type: pearson
      value: 88.17138238483673
    - type: spearman
      value: 84.51542547285167
    - type: cosine_pearson
      value: 88.17138238483673
    - type: cosine_spearman
      value: 84.51542547285167
    - type: euclidean_pearson
      value: 87.99782696047525
    - type: euclidean_spearman
      value: 84.51542547285167
    - type: main_score
      value: 84.51542547285167
    - type: manhattan_pearson
      value: 85.811937669563
    - type: manhattan_spearman
      value: 84.51542547285167
    - type: pearson
      value: 88.17138238483673
    - type: spearman
      value: 84.51542547285167
  - task:
      type: STS
    dataset:
      name: MTEB STSBenchmarkMultilingualSTS (fr)
      type: mteb/stsb_multi_mt
      config: fr
      split: test
      revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
    metrics:
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      value: 79.98375089796882
    - type: cosine_spearman
      value: 81.06570417849169
    - type: euclidean_pearson
      value: 79.44759787417051
    - type: euclidean_spearman
      value: 81.06430479357311
    - type: main_score
      value: 81.06570417849169
    - type: manhattan_pearson
      value: 79.34683573713086
    - type: manhattan_spearman
      value: 81.00584846124926
    - type: pearson
      value: 79.98375089796882
    - type: spearman
      value: 81.06570417849169
  - task:
      type: Summarization
    dataset:
      name: MTEB SummEvalFr
      type: lyon-nlp/summarization-summeval-fr-p2p
      config: default
      split: test
      revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
    metrics:
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      value: 31.198220154029464
    - type: cosine_spearman
      value: 30.886000528607877
    - type: dot_pearson
      value: 31.19822718500702
    - type: dot_spearman
      value: 30.86590068433314
    - type: main_score
      value: 30.886000528607877
    - type: pearson
      value: 31.198220154029464
    - type: spearman
      value: 30.886000528607877
  - task:
      type: Reranking
    dataset:
      name: MTEB SyntecReranking
      type: lyon-nlp/mteb-fr-reranking-syntec-s2p
      config: default
      split: test
      revision: daf0863838cd9e3ba50544cdce3ac2b338a1b0ad
    metrics:
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      value: 86.6
    - type: map
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    - type: mrr
      value: 86.6
    - type: nAUC_map_diff1
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    - type: nAUC_map_max
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    - type: nAUC_map_std
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    - type: nAUC_mrr_diff1
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    - type: nAUC_mrr_max
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    - type: nAUC_mrr_std
      value: 44.66975354255961
  - task:
      type: Retrieval
    dataset:
      name: MTEB SyntecRetrieval
      type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
      config: default
      split: test
      revision: 19661ccdca4dfc2d15122d776b61685f48c68ca9
    metrics:
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    - type: map_at_3
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    - type: map_at_5
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    - type: ndcg_at_10
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    - type: ndcg_at_1000
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    - type: precision_at_1
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    - type: recall_at_1
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    - type: recall_at_10
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    - type: recall_at_1000
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  - task:
      type: Retrieval
    dataset:
      name: MTEB XPQARetrieval (fr)
      type: jinaai/xpqa
      config: fra-fra
      split: test
      revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
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  - task:
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  - task:
      type: Classification
    dataset:
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      type: PL-MTEB/allegro-reviews
      config: default
      split: test
      revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
    metrics:
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    - type: f1_weighted
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    - type: main_score
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  - task:
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    dataset:
      name: MTEB ArguAna-PL
      type: clarin-knext/arguana-pl
      config: default
      split: test
      revision: 63fc86750af76253e8c760fc9e534bbf24d260a2
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    - type: precision_at_1
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    - type: precision_at_5
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    - type: recall_at_1
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    - type: recall_at_10
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    - type: recall_at_1000
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    - type: recall_at_5
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  - task:
      type: Classification
    dataset:
      name: MTEB CBD
      type: PL-MTEB/cbd
      config: default
      split: test
      revision: 36ddb419bcffe6a5374c3891957912892916f28d
    metrics:
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    - type: ap
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    - type: ap_weighted
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    - type: f1
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    - type: f1_weighted
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    - type: main_score
      value: 64.91
  - task:
      type: PairClassification
    dataset:
      name: MTEB CDSC-E
      type: PL-MTEB/cdsce-pairclassification
      config: default
      split: test
      revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
    metrics:
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    - type: cosine_accuracy_threshold
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    - type: cosine_ap
      value: 71.63899566137869
    - type: cosine_f1
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    - type: cosine_precision
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    - type: cosine_recall
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    - type: dot_accuracy
      value: 87.5
    - type: dot_accuracy_threshold
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    - type: dot_ap
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    - type: dot_f1_threshold
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    - type: dot_precision
      value: 60.0
    - type: dot_recall
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    - type: euclidean_accuracy
      value: 87.5
    - type: euclidean_accuracy_threshold
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    - type: euclidean_ap
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    - type: euclidean_f1_threshold
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    - type: euclidean_precision
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    - type: euclidean_recall
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    - type: main_score
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    - type: manhattan_accuracy
      value: 87.6
    - type: manhattan_accuracy_threshold
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    - type: manhattan_f1
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    - type: manhattan_f1_threshold
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    - type: manhattan_precision
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    - type: manhattan_recall
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    - type: max_ap
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    - type: max_f1
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    - type: max_precision
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    - type: similarity_accuracy
      value: 87.5
    - type: similarity_accuracy_threshold
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    - type: similarity_ap
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    - type: similarity_f1_threshold
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    - type: similarity_precision
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    - type: similarity_recall
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  - task:
      type: STS
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      name: MTEB CDSC-R
      type: PL-MTEB/cdscr-sts
      config: default
      split: test
      revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
    metrics:
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    - type: pearson
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  - task:
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    dataset:
      name: MTEB DBPedia-PL
      type: clarin-knext/dbpedia-pl
      config: default
      split: test
      revision: 76afe41d9af165cc40999fcaa92312b8b012064a
    metrics:
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    - type: map_at_100
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      type: clarin-knext/msmarco-pl
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  - task:
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      type: mteb/amazon_massive_intent
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  - task:
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  - task:
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  - task:
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      type: clarin-knext/nq-pl
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      revision: f171245712cf85dd4700b06bef18001578d0ca8d
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  - task:
      type: Classification
    dataset:
      name: MTEB PAC
      type: laugustyniak/abusive-clauses-pl
      config: default
      split: test
      revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
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  - task:
      type: PairClassification
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      name: MTEB PSC
      type: PL-MTEB/psc-pairclassification
      config: default
      split: test
      revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
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  - task:
      type: Classification
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      type: PL-MTEB/polemo2_in
      config: default
      split: test
      revision: d90724373c70959f17d2331ad51fb60c71176b03
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  - task:
      type: Classification
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      type: PL-MTEB/polemo2_out
      config: default
      split: test
      revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
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  - task:
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      type: PL-MTEB/ppc-pairclassification
      config: default
      split: test
      revision: 2c7d2df57801a591f6b1e3aaf042e7a04ec7d9f2
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  - task:
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      type: clarin-knext/quora-pl
      config: default
      split: test
      revision: 0be27e93455051e531182b85e85e425aba12e9d4
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  - task:
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      type: clarin-knext/scidocs-pl
      config: default
      split: test
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    - type: nauc_precision_at_100_std
      value: 37.56343888054612
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      value: 14.123009605345343
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      value: 26.228452951171487
    - type: nauc_recall_at_10_std
      value: 20.14835260352246
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      value: 25.888986621614645
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      value: 22.94288018834461
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      value: 11.337560544201224
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      value: 16.89022137209632
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      value: 24.564195711081545
    - type: nauc_recall_at_5_std
      value: 14.979769166201622
    - type: ndcg_at_1
      value: 18.0
    - type: ndcg_at_10
      value: 15.174000000000001
    - type: ndcg_at_100
      value: 22.047
    - type: ndcg_at_1000
      value: 27.057
    - type: ndcg_at_20
      value: 17.628
    - type: ndcg_at_3
      value: 14.536999999999999
    - type: ndcg_at_5
      value: 12.590000000000002
    - type: precision_at_1
      value: 18.0
    - type: precision_at_10
      value: 7.82
    - type: precision_at_100
      value: 1.773
    - type: precision_at_1000
      value: 0.298
    - type: precision_at_20
      value: 5.335
    - type: precision_at_3
      value: 13.5
    - type: precision_at_5
      value: 10.92
    - type: recall_at_1
      value: 3.6580000000000004
    - type: recall_at_10
      value: 15.867999999999999
    - type: recall_at_100
      value: 36.068
    - type: recall_at_1000
      value: 60.608
    - type: recall_at_20
      value: 21.653
    - type: recall_at_3
      value: 8.248
    - type: recall_at_5
      value: 11.108
  - task:
      type: PairClassification
    dataset:
      name: MTEB SICK-E-PL
      type: PL-MTEB/sicke-pl-pairclassification
      config: default
      split: test
      revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
    metrics:
    - type: cosine_accuracy
      value: 78.12882185079495
    - type: cosine_accuracy_threshold
      value: 95.76345682144165
    - type: cosine_ap
      value: 63.56538407363026
    - type: cosine_f1
      value: 60.88388690639582
    - type: cosine_f1_threshold
      value: 92.86266565322876
    - type: cosine_precision
      value: 49.53104064314426
    - type: cosine_recall
      value: 78.98860398860398
    - type: dot_accuracy
      value: 78.12882185079495
    - type: dot_accuracy_threshold
      value: 95.76345682144165
    - type: dot_ap
      value: 63.56553287602377
    - type: dot_f1
      value: 60.88388690639582
    - type: dot_f1_threshold
      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
      value: 29.108554124832153
    - type: euclidean_ap
      value: 63.56543484315041
    - type: euclidean_f1
      value: 60.88388690639582
    - type: euclidean_f1_threshold
      value: 37.781822681427
    - type: euclidean_precision
      value: 49.53104064314426
    - type: euclidean_recall
      value: 78.98860398860398
    - type: main_score
      value: 63.56553287602377
    - type: manhattan_accuracy
      value: 77.82307378719935
    - type: manhattan_accuracy_threshold
      value: 658.8656902313232
    - type: manhattan_ap
      value: 63.12761769067177
    - type: manhattan_f1
      value: 60.76436623590872
    - type: manhattan_f1_threshold
      value: 888.3136749267578
    - type: manhattan_precision
      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
    - type: similarity_f1_threshold
      value: 92.86266565322876
    - type: similarity_precision
      value: 49.53104064314426
    - type: similarity_recall
      value: 78.98860398860398
  - task:
      type: STS
    dataset:
      name: MTEB SICK-R-PL
      type: PL-MTEB/sickr-pl-sts
      config: default
      split: test
      revision: fd5c2441b7eeff8676768036142af4cfa42c1339
    metrics:
    - type: cosine_pearson
      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:
      name: MTEB STS22 (pl)
      type: mteb/sts22-crosslingual-sts
      config: pl
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      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:
      name: MTEB STS22 (de-pl)
      type: mteb/sts22-crosslingual-sts
      config: de-pl
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    metrics:
    - type: cosine_pearson
      value: 40.2221719679774
    - type: cosine_spearman
      value: 57.18465019880842
    - type: euclidean_pearson
      value: 42.11211158455479
    - type: euclidean_spearman
      value: 57.18465019880842
    - type: main_score
      value: 57.18465019880842
    - type: manhattan_pearson
      value: 43.24148614152723
    - type: manhattan_spearman
      value: 56.35320940431847
    - type: pearson
      value: 40.2221719679774
    - type: spearman
      value: 57.18465019880842
  - task:
      type: Retrieval
    dataset:
      name: MTEB SciFact-PL
      type: clarin-knext/scifact-pl
      config: default
      split: test
      revision: 47932a35f045ef8ed01ba82bf9ff67f6e109207e
    metrics:
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      value: 62.064
    - type: map_at_1
      value: 48.317
    - type: map_at_10
      value: 57.693000000000005
    - type: map_at_100
      value: 58.392999999999994
    - type: map_at_1000
      value: 58.428999999999995
    - type: map_at_20
      value: 58.108000000000004
    - type: map_at_3
      value: 55.293000000000006
    - type: map_at_5
      value: 56.595
    - type: mrr_at_1
      value: 51.0
    - type: mrr_at_10
      value: 59.019576719576705
    - type: mrr_at_100
      value: 59.58007358566797
    - type: mrr_at_1000
      value: 59.61403985820887
    - type: mrr_at_20
      value: 59.35199007075942
    - type: mrr_at_3
      value: 57.166666666666664
    - type: mrr_at_5
      value: 58.08333333333332
    - type: nauc_map_at_1000_diff1
      value: 55.90310480193163
    - type: nauc_map_at_1000_max
      value: 40.922646499130586
    - type: nauc_map_at_1000_std
      value: 6.308307542867231
    - type: nauc_map_at_100_diff1
      value: 55.87923016501095
    - type: nauc_map_at_100_max
      value: 40.930429212300396
    - type: nauc_map_at_100_std
      value: 6.302652510324859
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      value: 55.96811326806582
    - type: nauc_map_at_10_max
      value: 40.91912121040118
    - type: nauc_map_at_10_std
      value: 6.315081020792943
    - type: nauc_map_at_1_diff1
      value: 61.615316460538374
    - type: nauc_map_at_1_max
      value: 34.4312789344494
    - type: nauc_map_at_1_std
      value: -2.151749018851701
    - type: nauc_map_at_20_diff1
      value: 55.781940594193316
    - type: nauc_map_at_20_max
      value: 40.877518039008585
    - type: nauc_map_at_20_std
      value: 6.170527123248918
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      value: 58.104315292507216
    - type: nauc_map_at_3_max
      value: 39.524635028616544
    - type: nauc_map_at_3_std
      value: 4.367263811245541
    - type: nauc_map_at_5_diff1
      value: 56.60725686218003
    - type: nauc_map_at_5_max
      value: 40.362341129747456
    - type: nauc_map_at_5_std
      value: 5.222556427559299
    - type: nauc_mrr_at_1000_diff1
      value: 56.243518111487454
    - type: nauc_mrr_at_1000_max
      value: 41.92306224416779
    - type: nauc_mrr_at_1000_std
      value: 7.331011181148979
    - type: nauc_mrr_at_100_diff1
      value: 56.21745814714038
    - type: nauc_mrr_at_100_max
      value: 41.92847851363498
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      value: 7.322136402819359
    - type: nauc_mrr_at_10_diff1
      value: 56.22224221410973
    - type: nauc_mrr_at_10_max
      value: 42.020110225540144
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      value: 7.367785001729785
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      value: 61.65968884760533
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      value: 39.22611274899148
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      value: 3.3484556807524357
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      value: 56.140226618395495
    - type: nauc_mrr_at_20_max
      value: 41.92506913405156
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      value: 7.20339996949852
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      value: 57.82506573973446
    - type: nauc_mrr_at_3_max
      value: 41.962001263558484
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      value: 6.909954113302328
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      value: 56.659054585223565
    - type: nauc_mrr_at_5_max
      value: 42.220145330498326
    - type: nauc_mrr_at_5_std
      value: 6.914754115832333
    - type: nauc_ndcg_at_1000_diff1
      value: 54.101423320176956
    - type: nauc_ndcg_at_1000_max
      value: 42.35761455565217
    - type: nauc_ndcg_at_1000_std
      value: 9.158968107515042
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      value: 53.193377266960695
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      value: 42.39818084789296
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      value: 8.982680006715663
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      value: 42.25954681169497
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      value: 9.025856795668409
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      value: 39.22611274899148
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      value: 3.3484556807524357
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      value: 42.14484844258701
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      value: 8.522811774790046
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      value: 56.65801023652111
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      value: 41.59901000744857
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      value: 6.866411754213651
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      value: 54.25032835371862
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      value: 41.52568005051319
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      value: 6.747184564934237
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      value: 14.458974499542448
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      value: 39.22611274899148
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      value: 30.293217657388254
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      value: 46.81095681980396
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      value: 45.278620768210615
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      value: 22.7094842525771
    - type: nauc_recall_at_1000_diff1
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      value: 69.49112978524705
    - type: nauc_recall_at_1000_std
      value: 84.76890756302552
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      value: 33.641140071848085
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      value: 49.94619316653212
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      value: 26.970675275760104
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      value: 38.56340942303001
    - type: nauc_recall_at_10_max
      value: 44.13889679913801
    - type: nauc_recall_at_10_std
      value: 17.814455740104584
    - type: nauc_recall_at_1_diff1
      value: 61.615316460538374
    - type: nauc_recall_at_1_max
      value: 34.4312789344494
    - type: nauc_recall_at_1_std
      value: -2.151749018851701
    - type: nauc_recall_at_20_diff1
      value: 33.86997626483988
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      value: 44.31136705663488
    - type: nauc_recall_at_20_std
      value: 16.58271492635832
    - type: nauc_recall_at_3_diff1
      value: 52.39739118413791
    - type: nauc_recall_at_3_max
      value: 40.56472420414715
    - type: nauc_recall_at_3_std
      value: 7.856902134348368
    - type: nauc_recall_at_5_diff1
      value: 45.693766776717595
    - type: nauc_recall_at_5_max
      value: 41.817545551209086
    - type: nauc_recall_at_5_std
      value: 9.066813773598692
    - type: ndcg_at_1
      value: 51.0
    - type: ndcg_at_10
      value: 62.064
    - type: ndcg_at_100
      value: 65.45
    - type: ndcg_at_1000
      value: 66.366
    - type: ndcg_at_20
      value: 63.418
    - type: ndcg_at_3
      value: 57.915000000000006
    - type: ndcg_at_5
      value: 59.65200000000001
    - type: precision_at_1
      value: 51.0
    - type: precision_at_10
      value: 8.433
    - type: precision_at_100
      value: 1.03
    - 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:
      name: MTEB TRECCOVID-PL
      type: clarin-knext/trec-covid-pl
      config: default
      split: test
      revision: 81bcb408f33366c2a20ac54adafad1ae7e877fdd
    metrics:
    - type: main_score
      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
      value: 50.364439193708456
    - type: nauc_map_at_1000_std
      value: 82.23413161215711
    - type: nauc_map_at_100_diff1
      value: -3.737989437317314
    - type: nauc_map_at_100_max
      value: 40.24314095187729
    - type: nauc_map_at_100_std
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    - type: recall_at_100
      value: 12.359
    - type: recall_at_1000
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  - task:
      type: MultilabelClassification
    dataset:
      name: MTEB CEDRClassification
      type: ai-forever/cedr-classification
      config: default
      split: test
      revision: c0ba03d058e3e1b2f3fd20518875a4563dd12db4
    metrics:
    - type: accuracy
      value: 43.29968119022317
    - type: f1
      value: 41.112000768648386
    - type: lrap
      value: 72.06216790648348
    - type: main_score
      value: 43.29968119022317
  - task:
      type: Classification
    dataset:
      name: MTEB GeoreviewClassification
      type: ai-forever/georeview-classification
      config: default
      split: test
      revision: 3765c0d1de6b7d264bc459433c45e5a75513839c
    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: Clustering
    dataset:
      name: MTEB GeoreviewClusteringP2P
      type: ai-forever/georeview-clustering-p2p
      config: default
      split: test
      revision: 97a313c8fc85b47f13f33e7e9a95c1ad888c7fec
    metrics:
    - type: main_score
      value: 60.28266888390485
    - type: v_measure
      value: 60.28266888390485
    - type: v_measure_std
      value: 1.0348363132473835
  - task:
      type: Classification
    dataset:
      name: MTEB HeadlineClassification
      type: ai-forever/headline-classification
      config: default
      split: test
      revision: 2fe05ee6b5832cda29f2ef7aaad7b7fe6a3609eb
    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:
      name: MTEB InappropriatenessClassification
      type: ai-forever/inappropriateness-classification
      config: default
      split: test
      revision: 601651fdc45ef243751676e62dd7a19f491c0285
    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:
      name: MTEB KinopoiskClassification
      type: ai-forever/kinopoisk-sentiment-classification
      config: default
      split: test
      revision: 5911f26666ac11af46cb9c6849d0dc80a378af24
    metrics:
    - type: accuracy
      value: 63.15333333333333
    - type: f1
      value: 59.395986541732384
    - type: f1_weighted
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    - type: main_score
      value: 63.15333333333333
  - task:
      type: Reranking
    dataset:
      name: MTEB MIRACLReranking (ru)
      type: miracl/mmteb-miracl-reranking
      config: ru
      split: dev
      revision: 6d1962c527217f8927fca80f890f14f36b2802af
    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
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      value: 56.111999999999995
    - type: NDCG@100(MIRACL)
      value: 60.617
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      value: 60.617
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      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
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      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
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      value: 15.8510181843185
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      value: 27.452155305037095
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      value: 15.147015882448075
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      value: 15.147015882448075
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      value: 17.808742699385363
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      value: 25.21217663908093
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      value: 13.970995033749716
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      value: 34.30066727981356
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      value: 11.096793012814972
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      value: 4.298644702770651
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      value: 16.499957004860978
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      value: 15.166175199040485
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      value: 8.985118628338126
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      value: 20.549029352694866
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      value: 11.131951589460492
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      value: 36.70565868748619
    - type: nAUC_NDCG@1000_std(MIRACL)
      value: 19.551007976769245
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      value: 5.973372149854828
    - type: nAUC_NDCG@100_max(MIRACL)
      value: 36.70565868748619
    - type: nAUC_NDCG@100_std(MIRACL)
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    - type: nAUC_NDCG@10_diff1(MIRACL)
      value: 10.894100451667919
    - type: nAUC_NDCG@10_max(MIRACL)
      value: 31.735109695399416
    - type: nAUC_NDCG@10_std(MIRACL)
      value: 17.674556265190706
    - type: nAUC_NDCG@1_diff1(MIRACL)
      value: 22.04892839322977
    - type: nAUC_NDCG@1_max(MIRACL)
      value: 32.51034181981298
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      value: 14.343760356007765
    - type: nAUC_NDCG@20_diff1(MIRACL)
      value: 8.074119776676103
    - type: nAUC_NDCG@20_max(MIRACL)
      value: 34.52221220694718
    - type: nAUC_NDCG@20_std(MIRACL)
      value: 19.94006423667
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      value: 16.284195830367825
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      value: 26.521965826220352
    - type: nAUC_NDCG@3_std(MIRACL)
      value: 13.850033289666094
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      value: 14.362693198633952
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      value: 27.781809390068872
    - type: nAUC_NDCG@5_std(MIRACL)
      value: 14.879808284537981
    - type: nAUC_P@1000_diff1(MIRACL)
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      value: 33.03084251491326
    - type: nAUC_P@1000_std(MIRACL)
      value: 15.674013757663898
    - type: nAUC_P@100_diff1(MIRACL)
      value: -27.606682296231327
    - type: nAUC_P@100_max(MIRACL)
      value: 33.03084251491332
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      value: 15.674013757663937
    - type: nAUC_P@10_diff1(MIRACL)
      value: -23.575685602922174
    - type: nAUC_P@10_max(MIRACL)
      value: 36.72548498655645
    - type: nAUC_P@10_std(MIRACL)
      value: 21.317694028285104
    - type: nAUC_P@1_diff1(MIRACL)
      value: 22.04892839322977
    - type: nAUC_P@1_max(MIRACL)
      value: 32.51034181981298
    - type: nAUC_P@1_std(MIRACL)
      value: 14.343760356007765
    - type: nAUC_P@20_diff1(MIRACL)
      value: -26.064734965649322
    - type: nAUC_P@20_max(MIRACL)
      value: 34.10936682680113
    - type: nAUC_P@20_std(MIRACL)
      value: 20.31615496254574
    - type: nAUC_P@3_diff1(MIRACL)
      value: -10.903444655544746
    - type: nAUC_P@3_max(MIRACL)
      value: 34.33585029049373
    - type: nAUC_P@3_std(MIRACL)
      value: 18.620142249622834
    - type: nAUC_P@5_diff1(MIRACL)
      value: -18.454884144221385
    - type: nAUC_P@5_max(MIRACL)
      value: 35.620428961110036
    - type: nAUC_P@5_std(MIRACL)
      value: 20.265460635926893
    - type: nAUC_Recall@1000_diff1(MIRACL)
      value: -28.25716669219796
    - type: nAUC_Recall@1000_max(MIRACL)
      value: 59.88673755432144
    - type: nAUC_Recall@1000_std(MIRACL)
      value: 29.916576785101622
    - type: nAUC_Recall@100_diff1(MIRACL)
      value: -28.25716669219796
    - type: nAUC_Recall@100_max(MIRACL)
      value: 59.88673755432144
    - type: nAUC_Recall@100_std(MIRACL)
      value: 29.916576785101622
    - type: nAUC_Recall@10_diff1(MIRACL)
      value: -2.5731369116803466
    - type: nAUC_Recall@10_max(MIRACL)
      value: 34.37108435281944
    - type: nAUC_Recall@10_std(MIRACL)
      value: 20.744457001608925
    - type: nAUC_Recall@1_diff1(MIRACL)
      value: 34.30066727981356
    - type: nAUC_Recall@1_max(MIRACL)
      value: 11.096793012814972
    - type: nAUC_Recall@1_std(MIRACL)
      value: 4.298644702770651
    - type: nAUC_Recall@20_diff1(MIRACL)
      value: -13.667980220614172
    - type: nAUC_Recall@20_max(MIRACL)
      value: 44.947659106700044
    - type: nAUC_Recall@20_std(MIRACL)
      value: 29.413435369376923
    - type: nAUC_Recall@3_diff1(MIRACL)
      value: 15.838199908854786
    - type: nAUC_Recall@3_max(MIRACL)
      value: 17.368565662731196
    - type: nAUC_Recall@3_std(MIRACL)
      value: 10.538072940876807
    - type: nAUC_Recall@5_diff1(MIRACL)
      value: 8.199967584892176
    - type: nAUC_Recall@5_max(MIRACL)
      value: 23.500985460573578
    - type: nAUC_Recall@5_std(MIRACL)
      value: 13.477424183539433
  - task:
      type: Retrieval
    dataset:
      name: MTEB MIRACLRetrieval (ru)
      type: miracl/mmteb-miracl
      config: ru
      split: dev
      revision: main
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  - task:
      type: Classification
    dataset:
      name: MTEB MassiveIntentClassification (ru)
      type: mteb/amazon_massive_intent
      config: ru
      split: test
      revision: 4672e20407010da34463acc759c162ca9734bca6
    metrics:
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    - type: f1_weighted
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    - type: main_score
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  - task:
      type: Classification
    dataset:
      name: MTEB MassiveScenarioClassification (ru)
      type: mteb/amazon_massive_scenario
      config: ru
      split: test
      revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
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  - task:
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      type: merionum/ru_paraphraser
      config: default
      split: test
      revision: 43265056790b8f7c59e0139acb4be0a8dad2c8f4
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  - task:
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    dataset:
      name: MTEB RiaNewsRetrieval
      type: ai-forever/ria-news-retrieval
      config: default
      split: test
      revision: 82374b0bbacda6114f39ff9c5b925fa1512ca5d7
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    - type: nauc_recall_at_3_std
      value: -10.635148066667742
    - type: nauc_recall_at_5_diff1
      value: 68.11610612745811
    - type: nauc_recall_at_5_max
      value: 30.70873389241151
    - type: nauc_recall_at_5_std
      value: -8.722606142068207
    - type: ndcg_at_1
      value: 67.42
    - type: ndcg_at_10
      value: 79.42399999999999
    - type: ndcg_at_100
      value: 80.754
    - type: ndcg_at_1000
      value: 80.979
    - type: ndcg_at_20
      value: 80.118
    - type: ndcg_at_3
      value: 76.543
    - type: ndcg_at_5
      value: 78.215
    - type: precision_at_1
      value: 67.42
    - type: precision_at_10
      value: 9.052
    - type: precision_at_100
      value: 0.966
    - type: precision_at_1000
      value: 0.098
    - type: precision_at_20
      value: 4.662
    - type: precision_at_3
      value: 27.589999999999996
    - type: precision_at_5
      value: 17.36
    - type: recall_at_1
      value: 67.42
    - type: recall_at_10
      value: 90.52
    - type: recall_at_100
      value: 96.61
    - type: recall_at_1000
      value: 98.39
    - type: recall_at_20
      value: 93.24
    - type: recall_at_3
      value: 82.77
    - type: recall_at_5
      value: 86.8
  - task:
      type: Reranking
    dataset:
      name: MTEB RuBQReranking
      type: ai-forever/rubq-reranking
      config: default
      split: test
      revision: 2e96b8f098fa4b0950fc58eacadeb31c0d0c7fa2
    metrics:
    - type: main_score
      value: 68.48180892753541
    - type: map
      value: 68.48180892753541
    - type: mrr
      value: 73.69372550223615
    - type: nAUC_map_diff1
      value: 37.93778560797301
    - type: nAUC_map_max
      value: 10.858022431340633
    - type: nAUC_map_std
      value: 6.446466714820493
    - type: nAUC_mrr_diff1
      value: 39.83698029227208
    - type: nAUC_mrr_max
      value: 14.378309445768284
    - type: nAUC_mrr_std
      value: 10.579567761464919
  - task:
      type: Retrieval
    dataset:
      name: MTEB RuBQRetrieval
      type: ai-forever/rubq-retrieval
      config: default
      split: test
      revision: e19b6ffa60b3bc248e0b41f4cc37c26a55c2a67b
    metrics:
    - type: main_score
      value: 66.77
    - type: map_at_1
      value: 36.525
    - type: map_at_10
      value: 58.021
    - type: map_at_100
      value: 59.016000000000005
    - type: map_at_1000
      value: 59.041999999999994
    - type: map_at_20
      value: 58.709
    - type: map_at_3
      value: 51.808
    - type: map_at_5
      value: 55.706999999999994
    - type: mrr_at_1
      value: 52.95508274231678
    - type: mrr_at_10
      value: 66.10029926076034
    - type: mrr_at_100
      value: 66.46489903689454
    - type: mrr_at_1000
      value: 66.47135430048212
    - type: mrr_at_20
      value: 66.36282360130573
    - type: mrr_at_3
      value: 63.347123719464236
    - type: mrr_at_5
      value: 65.20291568163925
    - type: nauc_map_at_1000_diff1
      value: 36.39353112777031
    - type: nauc_map_at_1000_max
      value: 14.511234479555156
    - type: nauc_map_at_1000_std
      value: -12.003784393055856
    - type: nauc_map_at_100_diff1
      value: 36.396297354858326
    - type: nauc_map_at_100_max
      value: 14.532932252459755
    - type: nauc_map_at_100_std
      value: -11.9933713072409
    - type: nauc_map_at_10_diff1
      value: 36.19731963995984
    - type: nauc_map_at_10_max
      value: 14.331593327284844
    - type: nauc_map_at_10_std
      value: -12.607001882190588
    - type: nauc_map_at_1_diff1
      value: 39.04224394212489
    - type: nauc_map_at_1_max
      value: 9.44079807509392
    - type: nauc_map_at_1_std
      value: -8.725551038382205
    - type: nauc_map_at_20_diff1
      value: 36.27250811060138
    - type: nauc_map_at_20_max
      value: 14.521970331255876
    - type: nauc_map_at_20_std
      value: -12.033391150828098
    - type: nauc_map_at_3_diff1
      value: 35.966460233965485
    - type: nauc_map_at_3_max
      value: 11.62955834976298
    - type: nauc_map_at_3_std
      value: -13.649024048480133
    - type: nauc_map_at_5_diff1
      value: 36.131815002934644
    - type: nauc_map_at_5_max
      value: 13.157509275481777
    - type: nauc_map_at_5_std
      value: -13.36839170298778
    - type: nauc_mrr_at_1000_diff1
      value: 40.191647456610056
    - type: nauc_mrr_at_1000_max
      value: 16.63142892913043
    - type: nauc_mrr_at_1000_std
      value: -12.671951113868769
    - type: nauc_mrr_at_100_diff1
      value: 40.18726742271696
    - type: nauc_mrr_at_100_max
      value: 16.638314382103207
    - type: nauc_mrr_at_100_std
      value: -12.664912420744438
    - type: nauc_mrr_at_10_diff1
      value: 40.028293277796855
    - type: nauc_mrr_at_10_max
      value: 16.841638035795718
    - type: nauc_mrr_at_10_std
      value: -12.781785759758687
    - type: nauc_mrr_at_1_diff1
      value: 42.26303997344821
    - type: nauc_mrr_at_1_max
      value: 14.211014905785252
    - type: nauc_mrr_at_1_std
      value: -11.030701637062437
    - type: nauc_mrr_at_20_diff1
      value: 40.12680433695074
    - type: nauc_mrr_at_20_max
      value: 16.75915749592042
    - type: nauc_mrr_at_20_std
      value: -12.613807048523782
    - type: nauc_mrr_at_3_diff1
      value: 40.32434278687767
    - type: nauc_mrr_at_3_max
      value: 15.811615950737387
    - type: nauc_mrr_at_3_std
      value: -13.957860180387636
    - type: nauc_mrr_at_5_diff1
      value: 40.09422159913817
    - type: nauc_mrr_at_5_max
      value: 16.64090259238879
    - type: nauc_mrr_at_5_std
      value: -13.230746065794726
    - type: nauc_ndcg_at_1000_diff1
      value: 36.67352791454268
    - type: nauc_ndcg_at_1000_max
      value: 16.749915190801016
    - type: nauc_ndcg_at_1000_std
      value: -11.008545008175378
    - type: nauc_ndcg_at_100_diff1
      value: 36.58072887287039
    - type: nauc_ndcg_at_100_max
      value: 17.22374718832945
    - type: nauc_ndcg_at_100_std
      value: -10.559637745205016
    - type: nauc_ndcg_at_10_diff1
      value: 35.786024269753334
    - type: nauc_ndcg_at_10_max
      value: 17.217091860749864
    - type: nauc_ndcg_at_10_std
      value: -12.505927857541066
    - type: nauc_ndcg_at_1_diff1
      value: 42.41055520049291
    - type: nauc_ndcg_at_1_max
      value: 14.001922648893919
    - type: nauc_ndcg_at_1_std
      value: -11.224085018036103
    - type: nauc_ndcg_at_20_diff1
      value: 35.9577978619838
    - type: nauc_ndcg_at_20_max
      value: 17.612142353807204
    - type: nauc_ndcg_at_20_std
      value: -10.715656533623179
    - type: nauc_ndcg_at_3_diff1
      value: 35.92331458170165
    - type: nauc_ndcg_at_3_max
      value: 12.972908846104833
    - type: nauc_ndcg_at_3_std
      value: -14.90499944816046
    - type: nauc_ndcg_at_5_diff1
      value: 35.87509174776851
    - type: nauc_ndcg_at_5_max
      value: 15.016606655112842
    - type: nauc_ndcg_at_5_std
      value: -14.252766370474959
    - type: nauc_precision_at_1000_diff1
      value: -7.854237065573715
    - type: nauc_precision_at_1000_max
      value: 7.340193640831781
    - type: nauc_precision_at_1000_std
      value: 5.270139452495764
    - type: nauc_precision_at_100_diff1
      value: -5.433762342336105
    - type: nauc_precision_at_100_max
      value: 10.323131724715576
    - type: nauc_precision_at_100_std
      value: 6.065361232063088
    - type: nauc_precision_at_10_diff1
      value: 1.6163013309854788
    - type: nauc_precision_at_10_max
      value: 13.853149437703955
    - type: nauc_precision_at_10_std
      value: -0.4630873244645538
    - type: nauc_precision_at_1_diff1
      value: 42.41055520049291
    - type: nauc_precision_at_1_max
      value: 14.001922648893919
    - type: nauc_precision_at_1_std
      value: -11.224085018036103
    - type: nauc_precision_at_20_diff1
      value: -2.406608082278331
    - type: nauc_precision_at_20_max
      value: 12.672408320017443
    - type: nauc_precision_at_20_std
      value: 4.420612595577876
    - type: nauc_precision_at_3_diff1
      value: 15.724555799730243
    - type: nauc_precision_at_3_max
      value: 12.818558415088615
    - type: nauc_precision_at_3_std
      value: -11.49979730611224
    - type: nauc_precision_at_5_diff1
      value: 8.485573750280292
    - type: nauc_precision_at_5_max
      value: 13.304773839372094
    - type: nauc_precision_at_5_std
      value: -6.633911950881821
    - type: nauc_recall_at_1000_diff1
      value: -7.902591492154048
    - type: nauc_recall_at_1000_max
      value: 54.202835032879946
    - type: nauc_recall_at_1000_std
      value: 68.22401286555711
    - type: nauc_recall_at_100_diff1
      value: 14.88281690495126
    - type: nauc_recall_at_100_max
      value: 41.9305338281276
    - type: nauc_recall_at_100_std
      value: 30.260295038603324
    - type: nauc_recall_at_10_diff1
      value: 23.09613458762812
    - type: nauc_recall_at_10_max
      value: 24.921985669652386
    - type: nauc_recall_at_10_std
      value: -9.990910822464661
    - type: nauc_recall_at_1_diff1
      value: 39.04224394212489
    - type: nauc_recall_at_1_max
      value: 9.44079807509392
    - type: nauc_recall_at_1_std
      value: -8.725551038382205
    - type: nauc_recall_at_20_diff1
      value: 19.41298369752395
    - type: nauc_recall_at_20_max
      value: 31.91169321346991
    - type: nauc_recall_at_20_std
      value: 4.514353181881159
    - type: nauc_recall_at_3_diff1
      value: 29.514018426239197
    - type: nauc_recall_at_3_max
      value: 10.600179069626673
    - type: nauc_recall_at_3_std
      value: -17.02685998662361
    - type: nauc_recall_at_5_diff1
      value: 26.66966838912029
    - type: nauc_recall_at_5_max
      value: 15.359436829533934
    - type: nauc_recall_at_5_std
      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: Classification
    dataset:
      name: MTEB RuReviewsClassification
      type: ai-forever/ru-reviews-classification
      config: default
      split: test
      revision: f6d2c31f4dc6b88f468552750bfec05b4b41b05a
    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: STS
    dataset:
      name: MTEB RuSTSBenchmarkSTS
      type: ai-forever/ru-stsbenchmark-sts
      config: default
      split: test
      revision: 7cf24f325c6da6195df55bef3d86b5e0616f3018
    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: Classification
    dataset:
      name: MTEB RuSciBenchGRNTIClassification
      type: ai-forever/ru-scibench-grnti-classification
      config: default
      split: test
      revision: 673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1
    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: Clustering
    dataset:
      name: MTEB RuSciBenchGRNTIClusteringP2P
      type: ai-forever/ru-scibench-grnti-classification
      config: default
      split: test
      revision: 673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1
    metrics:
    - type: main_score
      value: 56.82815630686135
    - type: v_measure
      value: 56.82815630686135
    - type: v_measure_std
      value: 0.6871068462323323
  - task:
      type: Classification
    dataset:
      name: MTEB RuSciBenchOECDClassification
      type: ai-forever/ru-scibench-oecd-classification
      config: default
      split: test
      revision: 26c88e99dcaba32bb45d0e1bfc21902337f6d471
    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: Clustering
    dataset:
      name: MTEB RuSciBenchOECDClusteringP2P
      type: ai-forever/ru-scibench-oecd-classification
      config: default
      split: test
      revision: 26c88e99dcaba32bb45d0e1bfc21902337f6d471
    metrics:
    - type: main_score
      value: 48.72707742931753
    - type: v_measure
      value: 48.72707742931753
    - type: v_measure_std
      value: 0.7258468439420995
  - task:
      type: STS
    dataset:
      name: MTEB STS22 (ru)
      type: mteb/sts22-crosslingual-sts
      config: ru
      split: test
      revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
    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: MultilabelClassification
    dataset:
      name: MTEB SensitiveTopicsClassification
      type: ai-forever/sensitive-topics-classification
      config: default
      split: test
      revision: 416b34a802308eac30e4192afc0ff99bb8dcc7f2
    metrics:
    - type: accuracy
      value: 29.624023437500004
    - type: f1
      value: 33.214028020582894
    - type: lrap
      value: 44.53599717881868
    - type: main_score
      value: 29.624023437500004
  - task:
      type: PairClassification
    dataset:
      name: MTEB TERRa
      type: ai-forever/terra-pairclassification
      config: default
      split: dev
      revision: 7b58f24536063837d644aab9a023c62199b2a612
    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
---
-

<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)
    - [x] [KaLM-embedding-multilingual-mini-instruct-v1.5](https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5)
    - [ ] KaLM-embedding-multilingual-max-v1
- [x] Training and Evaluation Code: [HITsz-TMG/KaLM-Embedding](https://github.com/HITsz-TMG/KaLM-Embedding)
- [x] Technical Report: [KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model](https://arxiv.org/abs/2501.01028)
- [ ] Training Data


## Evaluation

 | Model Name | Model Size | C-MTEB(35) | MTEB(56) | avg
|:----:|:---:|:---:|:---:|:---:| 
| [multilingual-e5-large](https://huggingface.co/intfloat/multilingual-e5-large) | 560M | 58.81 | 61.5 | 60.16
| [bge-m3 (dense)](https://huggingface.co/BAAI/bge-m3) | 560M | 60.80 | 59.84 | 60.32
| [gte-multilingual-base (dense)](https://huggingface.co/Alibaba-NLP/gte-multilingual-base) | **305M** | 62.72 | 61.40 | 62.06 
| [KaLM-embedding-multilingual-mini-v1](https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-v1) | 494M | 62.31 | 61.87 | 62.09
| [KaLM-embedding-multilingual-mini-instruct-v1](https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1) | 494M | 63.57 | 64.74 | 64.16
| [KaLM-embedding-multilingual-mini-instruct-v1.5](https://huggingface.co/HIT-TMG/KaLM-embedding-multilingual-mini-instruct-v1.5) | 494M | **64.13** | **64.94** | **64.53**



## 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)
```


## Citation
Please cite the repo if you use the model or code in this repo.

```
@article{hu2025kalm,
  title={KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model},
  author={Hu, Xinshuo and Shan, Zifei and Zhao, Xinping and Sun, Zetian and Liu, Zhenyu and Li, Dongfang and Ye, Shaolin and Wei, Xinyuan and Chen, Qian and Hu, Baotian and others},
  journal={arXiv preprint arXiv:2501.01028},
  year={2025}
}
```


## Contact
If you encounter any issue, feel free to contact us via the email: yanshek.woo@gmail.com
