Model: Qsevent77/jina-embeddings-v3
Author: Qsevent77
Pipeline: feature-extraction
Library: transformers
Tags: transformers, pytorch, onnx, safetensors, feature-extraction, sentence-similarity, mteb, sentence-transformers, custom_code, multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lo, lt, lv, mg, mk, ml, mn, mr, ms, my, ne, nl, no, om, or, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, so, sq, sr, su, sv, sw, ta, te, th, tl, tr, ug, uk, ur, uz, vi, xh, yi, zh, arxiv:2409.10173, license:cc-by-nc-4.0, model-index, region:us
Card metadata: license: cc-by-nc-4.0
tags: feature-extraction, sentence-similarity, mteb, sentence-transformers
language: multilingual, af, am, ar, as, az, be, bg, bn, br, bs, ca, cs, cy, da, de, el, en, eo, es, et, eu, fa, fi, fr, fy, ga, gd, gl, gu, ha, he, hi, hr, hu, hy, id, is, it, ja, jv, ka, kk, km, kn, ko, ku, ky, la, lo, lt, lv, mg, mk, ml, mn, mr, ms, my, ne, nl, no, om, or, pa, pl, ps, pt, ro, ru, sa, sd, si, sk, sl, so, sq, sr, su, sv, sw, ta, te, th, tl, tr, ug, uk, ur, uz, vi, xh, yi, zh
inference: no
library_name: transformers
model-index: name: jina-embeddings-v3
results: dataset: config: default
name: MTEB AFQMC (default)
revision: b44c3b011063adb25877c13823db83bb193913c4
split: validation
type: C-MTEB/AFQMC
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verified: no
task: type: STS, dataset: config: default
name: MTEB ArguAna-PL (default)
revision: 63fc86750af76253e8c760fc9e534bbf24d260a2
split: test
type: clarin-knext/arguana-pl
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name: MTEB DBPedia-PL (default)
revision: 76afe41d9af165cc40999fcaa92312b8b012064a
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verified: no, type: P@100(MIRACL)
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verified: no, type: P@1000(MIRACL)
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verified: no, type: P@20(MIRACL)
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verified: no, type: P@3(MIRACL)
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verified: no, type: P@5(MIRACL)
value: 16.728
verified: no, type: Recall@1(MIRACL)
value: 20.721999999999998
verified: no, type: Recall@10(MIRACL)
value: 54.762
verified: no, type: Recall@100(MIRACL)
value: 79.952
verified: no, type: Recall@1000(MIRACL)
value: 79.952
verified: no, type: Recall@20(MIRACL)
value: 66.26100000000001
verified: no, type: Recall@3(MIRACL)
value: 34.410000000000004
verified: no, type: Recall@5(MIRACL)
value: 42.659000000000006
verified: no, type: main_score
value: 42.065000000000005
verified: no, type: nAUC_MAP@1000_diff1(MIRACL)
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verified: no, type: nAUC_MAP@1000_max(MIRACL)
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verified: no, type: nAUC_MAP@1000_std(MIRACL)
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verified: no, type: nAUC_MAP@100_diff1(MIRACL)
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verified: no, type: nAUC_MAP@100_max(MIRACL)
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verified: no, type: nAUC_MAP@100_std(MIRACL)
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verified: no, type: nAUC_MAP@10_diff1(MIRACL)
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verified: no, type: nAUC_MAP@10_max(MIRACL)
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verified: no, type: nAUC_MAP@10_std(MIRACL)
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verified: no, type: nAUC_MAP@1_diff1(MIRACL)
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verified: no, type: nAUC_MAP@1_max(MIRACL)
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verified: no, type: nAUC_MAP@1_std(MIRACL)
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verified: no, type: nAUC_MAP@20_diff1(MIRACL)
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verified: no, type: nAUC_MAP@20_max(MIRACL)
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verified: no, type: nAUC_MAP@20_std(MIRACL)
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verified: no, type: nAUC_MAP@3_diff1(MIRACL)
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verified: no, type: nAUC_MAP@3_max(MIRACL)
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verified: no, type: nAUC_MAP@3_std(MIRACL)
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verified: no, type: nAUC_MAP@5_diff1(MIRACL)
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verified: no, type: nAUC_MAP@5_max(MIRACL)
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verified: no, type: nAUC_MAP@5_std(MIRACL)
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verified: no, type: nAUC_NDCG@1000_diff1(MIRACL)
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verified: no, type: nAUC_NDCG@1000_max(MIRACL)
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verified: no, type: nAUC_NDCG@1000_std(MIRACL)
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verified: no, type: nAUC_NDCG@100_diff1(MIRACL)
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verified: no, type: nAUC_NDCG@100_max(MIRACL)
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verified: no, type: nAUC_NDCG@100_std(MIRACL)
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verified: no, type: nAUC_NDCG@10_diff1(MIRACL)
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verified: no, type: nAUC_NDCG@10_max(MIRACL)
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verified: no, type: nAUC_NDCG@10_std(MIRACL)
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verified: no, type: nAUC_NDCG@1_diff1(MIRACL)
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verified: no, type: nAUC_NDCG@1_max(MIRACL)
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verified: no, type: nAUC_NDCG@1_std(MIRACL)
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verified: no, type: nAUC_NDCG@20_diff1(MIRACL)
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verified: no, type: nAUC_NDCG@20_max(MIRACL)
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verified: no, type: nAUC_NDCG@20_std(MIRACL)
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verified: no, type: nAUC_NDCG@3_diff1(MIRACL)
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verified: no, type: nAUC_NDCG@3_max(MIRACL)
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verified: no, type: nAUC_NDCG@3_std(MIRACL)
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verified: no, type: nAUC_NDCG@5_diff1(MIRACL)
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verified: no, type: nAUC_NDCG@5_max(MIRACL)
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verified: no, type: nAUC_NDCG@5_std(MIRACL)
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verified: no, type: nAUC_P@1000_diff1(MIRACL)
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verified: no, type: nAUC_P@1000_max(MIRACL)
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verified: no, type: nAUC_P@1000_std(MIRACL)
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verified: no, type: nAUC_P@100_diff1(MIRACL)
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verified: no, type: nAUC_P@100_max(MIRACL)
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verified: no, type: nAUC_P@100_std(MIRACL)
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verified: no, type: nAUC_P@10_diff1(MIRACL)
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verified: no, type: nAUC_P@10_max(MIRACL)
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verified: no, type: nAUC_P@10_std(MIRACL)
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verified: no, type: nAUC_P@1_diff1(MIRACL)
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verified: no, type: nAUC_P@1_max(MIRACL)
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verified: no, type: nAUC_P@1_std(MIRACL)
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verified: no, type: nAUC_P@20_diff1(MIRACL)
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verified: no, type: nAUC_P@20_max(MIRACL)
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verified: no, type: nAUC_P@20_std(MIRACL)
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verified: no, type: nAUC_P@3_diff1(MIRACL)
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verified: no, type: nAUC_P@3_max(MIRACL)
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verified: no, type: nAUC_P@3_std(MIRACL)
value: 8.240008229861875
verified: no, type: nAUC_P@5_diff1(MIRACL)
value: -7.971349332207021
verified: no, type: nAUC_P@5_max(MIRACL)
value: 22.198441167940963
verified: no, type: nAUC_P@5_std(MIRACL)
value: 9.00265164460082
verified: no, type: nAUC_Recall@1000_diff1(MIRACL)
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verified: no, type: nAUC_Recall@1000_max(MIRACL)
value: 50.9545152809108
verified: no, type: nAUC_Recall@1000_std(MIRACL)
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verified: no, type: nAUC_Recall@100_diff1(MIRACL)
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verified: no, type: nAUC_Recall@100_max(MIRACL)
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verified: no, type: nAUC_Recall@100_std(MIRACL)
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verified: no, type: nAUC_Recall@10_diff1(MIRACL)
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verified: no, type: nAUC_Recall@10_max(MIRACL)
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verified: no, type: nAUC_Recall@10_std(MIRACL)
value: 8.791982704261589
verified: no, type: nAUC_Recall@1_diff1(MIRACL)
value: 28.698973487482206
verified: no, type: nAUC_Recall@1_max(MIRACL)
value: 2.9217687660885034
verified: no, type: nAUC_Recall@1_std(MIRACL)
value: -1.1247408800976524
verified: no, type: nAUC_Recall@20_diff1(MIRACL)
value: -13.312171017942623
verified: no, type: nAUC_Recall@20_max(MIRACL)
value: 24.19847346821666
verified: no, type: nAUC_Recall@20_std(MIRACL)
value: 15.8157702609797
verified: no, type: nAUC_Recall@3_diff1(MIRACL)
value: 16.909128321353343
verified: no, type: nAUC_Recall@3_max(MIRACL)
value: 6.552122731902991
verified: no, type: nAUC_Recall@3_std(MIRACL)
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verified: no, type: nAUC_Recall@5_diff1(MIRACL)
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verified: no, type: nAUC_Recall@5_max(MIRACL)
value: 9.361722273507574
verified: no, type: nAUC_Recall@5_std(MIRACL)
value: 3.270918827854495
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SensitiveTopicsClassification (default)
revision: 416b34a802308eac30e4192afc0ff99bb8dcc7f2
split: test
type: ai-forever/sensitive-topics-classification
metrics: type: accuracy
value: 30.634765625
verified: no, type: f1
value: 32.647559808678665
verified: no, type: lrap
value: 45.94319661458259
verified: no, type: main_score
value: 30.634765625
verified: no
task: type: MultilabelClassification, dataset: config: default
name: MTEB ATEC (default)
revision: 0f319b1142f28d00e055a6770f3f726ae9b7d865
split: test
type: C-MTEB/ATEC
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value: 47.541497334563296
verified: no, type: cosine_spearman
value: 49.06268944206629
verified: no, type: euclidean_pearson
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verified: no, type: euclidean_spearman
value: 48.930697157135356
verified: no, type: main_score
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verified: no, type: manhattan_pearson
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verified: no, type: manhattan_spearman
value: 48.86135493444834
verified: no, type: pearson
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verified: no, type: spearman
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verified: no
task: type: STS, dataset: config: default
name: MTEB AllegroReviews (default)
revision: b89853e6de927b0e3bfa8ecc0e56fe4e02ceafc6
split: test
type: PL-MTEB/allegro-reviews
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value: 49.51292246520874
verified: no, type: f1
value: 44.14350234332397
verified: no, type: f1_weighted
value: 51.65508998354552
verified: no, type: main_score
value: 49.51292246520874
verified: no
task: type: Classification, dataset: config: default
name: MTEB AlloProfClusteringP2P (default)
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
split: test
type: lyon-nlp/alloprof
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value: 63.883383458621665
verified: no, type: v_measure
value: 63.883383458621665
verified: no, type: v_measure_std
value: 2.693666879958465
verified: no
task: type: Clustering, dataset: config: default
name: MTEB 8TagsClustering
revision: None
split: test
type: PL-MTEB/8tags-clustering
metrics: type: v_measure
value: 43.65721212452554
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AlloProfClusteringS2S (default)
revision: 392ba3f5bcc8c51f578786c1fc3dae648662cb9b
split: test
type: lyon-nlp/alloprof
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value: 46.85924588755251
verified: no, type: v_measure
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verified: no, type: v_measure_std
value: 2.1918258880872377
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AlloprofReranking (default)
revision: e40c8a63ce02da43200eccb5b0846fcaa888f562
split: test
type: lyon-nlp/mteb-fr-reranking-alloprof-s2p
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verified: no, type: mrr
value: 67.68045617786551
verified: no, type: main_score
value: 66.39013753839347
verified: no
task: type: Reranking, dataset: config: default
name: MTEB AlloprofRetrieval (default)
revision: fcf295ea64c750f41fadbaa37b9b861558e1bfbd
split: test
type: lyon-nlp/alloprof
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verified: no, type: map_at_1
value: 37.047000000000004
verified: no, type: map_at_10
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verified: no, type: map_at_100
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verified: no, type: map_at_1000
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verified: no, type: map_at_20
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verified: no, type: map_at_3
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verified: no, type: map_at_5
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verified: no, type: mrr_at_1
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verified: no, type: mrr_at_10
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verified: no, type: mrr_at_100
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verified: no, type: mrr_at_1000
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verified: no, type: mrr_at_20
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verified: no, type: mrr_at_3
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verified: no, type: mrr_at_5
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verified: no, type: nauc_recall_at_20_max
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verified: no, type: nauc_recall_at_20_std
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verified: no, type: nauc_recall_at_3_diff1
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verified: no, type: nauc_recall_at_3_max
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verified: no, type: nauc_recall_at_3_std
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verified: no, type: nauc_recall_at_5_diff1
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verified: no, type: nauc_recall_at_5_max
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verified: no, type: nauc_recall_at_5_std
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verified: no, type: ndcg_at_1
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verified: no, type: ndcg_at_10
value: 54.284
verified: no, type: ndcg_at_100
value: 58.34
verified: no, type: ndcg_at_1000
value: 59.303
verified: no, type: ndcg_at_20
value: 56.235
verified: no, type: ndcg_at_3
value: 48.503
verified: no, type: ndcg_at_5
value: 51.686
verified: no, type: precision_at_1
value: 37.047000000000004
verified: no, type: precision_at_10
value: 7.237
verified: no, type: precision_at_100
value: 0.914
verified: no, type: precision_at_1000
value: 0.099
verified: no, type: precision_at_20
value: 4.005
verified: no, type: precision_at_3
value: 18.898
verified: no, type: precision_at_5
value: 12.884
verified: no, type: recall_at_1
value: 37.047000000000004
verified: no, type: recall_at_10
value: 72.366
verified: no, type: recall_at_100
value: 91.408
verified: no, type: recall_at_1000
value: 99.136
verified: no, type: recall_at_20
value: 80.095
verified: no, type: recall_at_3
value: 56.693000000000005
verified: no, type: recall_at_5
value: 64.42099999999999
verified: no
task: type: Retrieval, dataset: config: en
name: MTEB AmazonCounterfactualClassification (en)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics: type: accuracy
value: 89.49253731343283
verified: no, type: ap
value: 61.88098616359918
verified: no, type: ap_weighted
value: 61.88098616359918
verified: no, type: f1
value: 84.76516623679144
verified: no, type: f1_weighted
value: 89.92745276292968
verified: no, type: main_score
value: 89.49253731343283
verified: no
task: type: Classification, dataset: config: de
name: MTEB AmazonCounterfactualClassification (de)
revision: e8379541af4e31359cca9fbcf4b00f2671dba205
split: test
type: mteb/amazon_counterfactual
metrics: type: accuracy
value: 89.61456102783727
verified: no, type: ap
value: 93.11816566733742
verified: no, type: ap_weighted
value: 93.11816566733742
verified: no, type: f1
value: 88.27635757733722
verified: no, type: f1_weighted
value: 89.82581568285453
verified: no, type: main_score
value: 89.61456102783727
verified: no
task: type: Classification, dataset: config: default
name: MTEB AmazonPolarityClassification (default)
revision: e2d317d38cd51312af73b3d32a06d1a08b442046
split: test
type: mteb/amazon_polarity
metrics: type: accuracy
value: 95.3825
verified: no, type: ap
value: 93.393033869502
verified: no, type: ap_weighted
value: 93.393033869502
verified: no, type: f1
value: 95.38109007966307
verified: no, type: f1_weighted
value: 95.38109007966305
verified: no, type: main_score
value: 95.3825
verified: no
task: type: Classification, dataset: config: en
name: MTEB AmazonReviewsClassification (en)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 49.768
verified: no, type: f1
value: 48.95084821944411
verified: no, type: f1_weighted
value: 48.9508482194441
verified: no, type: main_score
value: 49.768
verified: no
task: type: Classification, dataset: config: de
name: MTEB AmazonReviewsClassification (de)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 48.071999999999996
verified: no, type: f1
value: 47.24171107487612
verified: no, type: f1_weighted
value: 47.24171107487612
verified: no, type: main_score
value: 48.071999999999996
verified: no
task: type: Classification, dataset: config: es
name: MTEB AmazonReviewsClassification (es)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 48.102000000000004
verified: no, type: f1
value: 47.27193805278696
verified: no, type: f1_weighted
value: 47.27193805278696
verified: no, type: main_score
value: 48.102000000000004
verified: no
task: type: Classification, dataset: config: fr
name: MTEB AmazonReviewsClassification (fr)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 47.30800000000001
verified: no, type: f1
value: 46.41683358017851
verified: no, type: f1_weighted
value: 46.41683358017851
verified: no, type: main_score
value: 47.30800000000001
verified: no
task: type: Classification, dataset: config: zh
name: MTEB AmazonReviewsClassification (zh)
revision: 1399c76144fd37290681b995c656ef9b2e06e26d
split: test
type: mteb/amazon_reviews_multi
metrics: type: accuracy
value: 44.944
verified: no, type: f1
value: 44.223824487744395
verified: no, type: f1_weighted
value: 44.22382448774439
verified: no, type: main_score
value: 44.944
verified: no
task: type: Classification, dataset: config: default
name: MTEB ArguAna (default)
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a
split: test
type: mteb/arguana
metrics: type: map_at_1
value: 29.232000000000003
verified: no, type: map_at_10
value: 45.117000000000004
verified: no, type: map_at_100
value: 45.977000000000004
verified: no, type: map_at_1000
value: 45.98
verified: no, type: map_at_20
value: 45.815
verified: no, type: map_at_3
value: 39.912
verified: no, type: map_at_5
value: 42.693
verified: no, type: mrr_at_1
value: 29.659000000000002
verified: no, type: mrr_at_10
value: 45.253
verified: no, type: mrr_at_100
value: 46.125
verified: no, type: mrr_at_1000
value: 46.129
verified: no, type: mrr_at_20
value: 45.964
verified: no, type: mrr_at_3
value: 40.043
verified: no, type: mrr_at_5
value: 42.870000000000005
verified: no, type: ndcg_at_1
value: 29.232000000000003
verified: no, type: ndcg_at_10
value: 54.327999999999996
verified: no, type: ndcg_at_100
value: 57.86
verified: no, type: ndcg_at_1000
value: 57.935
verified: no, type: ndcg_at_20
value: 56.794
verified: no, type: ndcg_at_3
value: 43.516
verified: no, type: ndcg_at_5
value: 48.512
verified: no, type: precision_at_1
value: 29.232000000000003
verified: no, type: precision_at_10
value: 8.393
verified: no, type: precision_at_100
value: 0.991
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_20
value: 4.676
verified: no, type: precision_at_3
value: 17.994
verified: no, type: precision_at_5
value: 13.215
verified: no, type: recall_at_1
value: 29.232000000000003
verified: no, type: recall_at_10
value: 83.926
verified: no, type: recall_at_100
value: 99.075
verified: no, type: recall_at_1000
value: 99.644
verified: no, type: recall_at_20
value: 93.528
verified: no, type: recall_at_3
value: 53.983000000000004
verified: no, type: recall_at_5
value: 66.074
verified: no, type: main_score
value: 54.327999999999996
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ArxivClusteringP2P (default)
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d
split: test
type: mteb/arxiv-clustering-p2p
metrics: type: main_score
value: 46.6636824632419
verified: no, type: v_measure
value: 46.6636824632419
verified: no, type: v_measure_std
value: 13.817129140714963
verified: no
task: type: Clustering, dataset: config: default
name: MTEB ArxivClusteringS2S (default)
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53
split: test
type: mteb/arxiv-clustering-s2s
metrics: type: main_score
value: 39.271141892800024
verified: no, type: v_measure
value: 39.271141892800024
verified: no, type: v_measure_std
value: 14.276782483454827
verified: no
task: type: Clustering, dataset: config: default
name: MTEB AskUbuntuDupQuestions (default)
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54
split: test
type: mteb/askubuntudupquestions-reranking
metrics: type: map
value: 65.04363277324629
verified: no, type: mrr
value: 78.2372598162072
verified: no, type: main_score
value: 65.04363277324629
verified: no
task: type: Reranking, dataset: config: default
name: MTEB MindSmallReranking (default)
revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69
split: test
type: mteb/mind_small
metrics: type: map
value: 30.83
verified: no, type: main_score
value: 30.83
verified: no
task: type: Reranking, dataset: config: default
name: MTEB BIOSSES (default)
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a
split: test
type: mteb/biosses-sts
metrics: type: cosine_pearson
value: 88.80382082011027
verified: no, type: cosine_spearman
value: 88.68876782169106
verified: no, type: euclidean_pearson
value: 87.00802890147176
verified: no, type: euclidean_spearman
value: 87.43211268192712
verified: no, type: main_score
value: 88.68876782169106
verified: no, type: manhattan_pearson
value: 87.14062537179474
verified: no, type: manhattan_spearman
value: 87.59115245033443
verified: no, type: pearson
value: 88.80382082011027
verified: no, type: spearman
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verified: no
task: type: STS, dataset: config: default
name: MTEB BQ (default)
revision: e3dda5e115e487b39ec7e618c0c6a29137052a55
split: test
type: C-MTEB/BQ
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value: 61.588006604878196
verified: no, type: cosine_spearman
value: 63.20615427154465
verified: no, type: euclidean_pearson
value: 61.818547092516496
verified: no, type: euclidean_spearman
value: 63.21558009151778
verified: no, type: main_score
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verified: no, type: manhattan_pearson
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verified: no, type: manhattan_spearman
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verified: no, type: pearson
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verified: no, type: spearman
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verified: no
task: type: STS, dataset: config: default
name: MTEB BSARDRetrieval (default)
revision: 5effa1b9b5fa3b0f9e12523e6e43e5f86a6e6d59
split: test
type: maastrichtlawtech/bsard
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verified: no, type: map_at_10
value: 21.605
verified: no, type: map_at_100
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verified: no, type: map_at_1000
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verified: no, type: map_at_20
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verified: no, type: map_at_3
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verified: no, type: map_at_5
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verified: no, type: mrr_at_10
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verified: no, type: mrr_at_100
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verified: no, type: mrr_at_1000
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verified: no, type: mrr_at_20
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verified: no, type: mrr_at_3
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verified: no, type: mrr_at_5
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verified: no, type: nauc_map_at_1000_diff1
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verified: no, type: ndcg_at_10
value: 24.764
verified: no, type: ndcg_at_100
value: 30.861
verified: no, type: ndcg_at_1000
value: 33.628
verified: no, type: ndcg_at_20
value: 27.078000000000003
verified: no, type: ndcg_at_3
value: 21.675
verified: no, type: ndcg_at_5
value: 23.148
verified: no, type: precision_at_1
value: 14.865
verified: no, type: precision_at_10
value: 3.4680000000000004
verified: no, type: precision_at_100
value: 0.644
verified: no, type: precision_at_1000
value: 0.087
verified: no, type: precision_at_20
value: 2.185
verified: no, type: precision_at_3
value: 8.709
verified: no, type: precision_at_5
value: 5.946
verified: no, type: recall_at_1
value: 14.865
verified: no, type: recall_at_10
value: 34.685
verified: no, type: recall_at_100
value: 64.414
verified: no, type: recall_at_1000
value: 86.937
verified: no, type: recall_at_20
value: 43.694
verified: no, type: recall_at_3
value: 26.125999999999998
verified: no, type: recall_at_5
value: 29.73
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB Banking77Classification (default)
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300
split: test
type: mteb/banking77
metrics: type: accuracy
value: 84.08116883116882
verified: no, type: f1
value: 84.05587055990273
verified: no, type: f1_weighted
value: 84.05587055990274
verified: no, type: main_score
value: 84.08116883116882
verified: no
task: type: Classification, dataset: config: default
name: MTEB BiorxivClusteringP2P (default)
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40
split: test
type: mteb/biorxiv-clustering-p2p
metrics: type: main_score
value: 38.1941007822277
verified: no, type: v_measure
value: 38.1941007822277
verified: no, type: v_measure_std
value: 0.7502113547288178
verified: no
task: type: Clustering, dataset: config: default
name: MTEB BiorxivClusteringS2S (default)
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908
split: test
type: mteb/biorxiv-clustering-s2s
metrics: type: main_score
value: 34.42075599178318
verified: no, type: v_measure
value: 34.42075599178318
verified: no, type: v_measure_std
value: 0.600256720497283
verified: no
task: type: Clustering, dataset: config: default
name: MTEB BlurbsClusteringP2P (default)
revision: a2dd5b02a77de3466a3eaa98ae586b5610314496
split: test
type: slvnwhrl/blurbs-clustering-p2p
metrics: type: main_score
value: 41.634627363047265
verified: no, type: v_measure
value: 41.634627363047265
verified: no, type: v_measure_std
value: 9.726923191225307
verified: no
task: type: Clustering, dataset: config: default
name: MTEB BlurbsClusteringS2S (default)
revision: 22793b6a6465bf00120ad525e38c51210858132c
split: test
type: slvnwhrl/blurbs-clustering-s2s
metrics: type: main_score
value: 20.996468295584197
verified: no, type: v_measure
value: 20.996468295584197
verified: no, type: v_measure_std
value: 9.225766688272197
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CBD (default)
revision: 36ddb419bcffe6a5374c3891957912892916f28d
split: test
type: PL-MTEB/cbd
metrics: type: accuracy
value: 69.99
verified: no, type: ap
value: 22.57826353116948
verified: no, type: ap_weighted
value: 22.57826353116948
verified: no, type: f1
value: 59.04574955548393
verified: no, type: f1_weighted
value: 74.36235022309789
verified: no, type: main_score
value: 69.99
verified: no
task: type: Classification, dataset: config: default
name: MTEB CDSC-E (default)
revision: 0a3d4aa409b22f80eb22cbf59b492637637b536d
split: test
type: PL-MTEB/cdsce-pairclassification
metrics: type: cosine_accuracy
value: 88.7
verified: no, type: cosine_accuracy_threshold
value: 97.37848043441772
verified: no, type: cosine_ap
value: 73.0405088928302
verified: no, type: cosine_f1
value: 63.52201257861635
verified: no, type: cosine_f1_threshold
value: 96.98888063430786
verified: no, type: cosine_precision
value: 78.90625
verified: no, type: cosine_recall
value: 53.1578947368421
verified: no, type: dot_accuracy
value: 84.89999999999999
verified: no, type: dot_accuracy_threshold
value: 43603.09753417969
verified: no, type: dot_ap
value: 56.98157569085279
verified: no, type: dot_f1
value: 57.606490872210955
verified: no, type: dot_f1_threshold
value: 40406.23779296875
verified: no, type: dot_precision
value: 46.864686468646866
verified: no, type: dot_recall
value: 74.73684210526315
verified: no, type: euclidean_accuracy
value: 88.5
verified: no, type: euclidean_accuracy_threshold
value: 498.0483055114746
verified: no, type: euclidean_ap
value: 72.97328234816734
verified: no, type: euclidean_f1
value: 63.722397476340696
verified: no, type: euclidean_f1_threshold
value: 508.6186408996582
verified: no, type: euclidean_precision
value: 79.52755905511812
verified: no, type: euclidean_recall
value: 53.1578947368421
verified: no, type: main_score
value: 73.0405088928302
verified: no, type: manhattan_accuracy
value: 88.6
verified: no, type: manhattan_accuracy_threshold
value: 12233.079528808594
verified: no, type: manhattan_ap
value: 72.92148503992615
verified: no, type: manhattan_f1
value: 63.69426751592356
verified: no, type: manhattan_f1_threshold
value: 12392.754364013672
verified: no, type: manhattan_precision
value: 80.64516129032258
verified: no, type: manhattan_recall
value: 52.63157894736842
verified: no, type: max_accuracy
value: 88.7
verified: no, type: max_ap
value: 73.0405088928302
verified: no, type: max_f1
value: 63.722397476340696
verified: no, type: max_precision
value: 80.64516129032258
verified: no, type: max_recall
value: 74.73684210526315
verified: no, type: similarity_accuracy
value: 88.7
verified: no, type: similarity_accuracy_threshold
value: 97.37848043441772
verified: no, type: similarity_ap
value: 73.0405088928302
verified: no, type: similarity_f1
value: 63.52201257861635
verified: no, type: similarity_f1_threshold
value: 96.98888063430786
verified: no, type: similarity_precision
value: 78.90625
verified: no, type: similarity_recall
value: 53.1578947368421
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB CDSC-R (default)
revision: 1cd6abbb00df7d14be3dbd76a7dcc64b3a79a7cd
split: test
type: PL-MTEB/cdscr-sts
metrics: type: cosine_pearson
value: 92.97492495289738
verified: no, type: cosine_spearman
value: 92.63248098608472
verified: no, type: euclidean_pearson
value: 92.04712487782031
verified: no, type: euclidean_spearman
value: 92.19679486755008
verified: no, type: main_score
value: 92.63248098608472
verified: no, type: manhattan_pearson
value: 92.0101187740438
verified: no, type: manhattan_spearman
value: 92.20926859332754
verified: no, type: pearson
value: 92.97492495289738
verified: no, type: spearman
value: 92.63248098608472
verified: no
task: type: STS, dataset: config: default
name: MTEB CLSClusteringP2P (default)
revision: 4b6227591c6c1a73bc76b1055f3b7f3588e72476
split: test
type: C-MTEB/CLSClusteringP2P
metrics: type: main_score
value: 39.96377851800628
verified: no, type: v_measure
value: 39.96377851800628
verified: no, type: v_measure_std
value: 0.9793033243093288
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CLSClusteringS2S (default)
revision: e458b3f5414b62b7f9f83499ac1f5497ae2e869f
split: test
type: C-MTEB/CLSClusteringS2S
metrics: type: main_score
value: 38.788850224595784
verified: no, type: v_measure
value: 38.788850224595784
verified: no, type: v_measure_std
value: 1.0712604145916924
verified: no
task: type: Clustering, dataset: config: default
name: MTEB CMedQAv1
revision: 8d7f1e942507dac42dc58017c1a001c3717da7df
split: test
type: C-MTEB/CMedQAv1-reranking
metrics: type: map
value: 77.95952507806115
verified: no, type: mrr
value: 80.8643253968254
verified: no, type: main_score
value: 77.95952507806115
verified: no
task: type: Reranking, dataset: config: default
name: MTEB CMedQAv2
revision: 23d186750531a14a0357ca22cd92d712fd512ea0
split: test
type: C-MTEB/CMedQAv2-reranking
metrics: type: map
value: 78.21522500165045
verified: no, type: mrr
value: 81.28194444444443
verified: no, type: main_score
value: 78.21522500165045
verified: no
task: type: Reranking, dataset: config: default
name: MTEB CQADupstackAndroidRetrieval (default)
revision: f46a197baaae43b4f621051089b82a364682dfeb
split: test
type: mteb/cqadupstack-android
metrics: type: map_at_1
value: 33.377
verified: no, type: map_at_10
value: 46.371
verified: no, type: map_at_100
value: 47.829
verified: no, type: map_at_1000
value: 47.94
verified: no, type: map_at_20
value: 47.205000000000005
verified: no, type: map_at_3
value: 42.782
verified: no, type: map_at_5
value: 44.86
verified: no, type: mrr_at_1
value: 41.345
verified: no, type: mrr_at_10
value: 52.187
verified: no, type: mrr_at_100
value: 52.893
verified: no, type: mrr_at_1000
value: 52.929
verified: no, type: mrr_at_20
value: 52.637
verified: no, type: mrr_at_3
value: 49.714000000000006
verified: no, type: mrr_at_5
value: 51.373000000000005
verified: no, type: ndcg_at_1
value: 41.345
verified: no, type: ndcg_at_10
value: 52.946000000000005
verified: no, type: ndcg_at_100
value: 57.92699999999999
verified: no, type: ndcg_at_1000
value: 59.609
verified: no, type: ndcg_at_20
value: 54.900999999999996
verified: no, type: ndcg_at_3
value: 48.357
verified: no, type: ndcg_at_5
value: 50.739000000000004
verified: no, type: precision_at_1
value: 41.345
verified: no, type: precision_at_10
value: 10.186
verified: no, type: precision_at_100
value: 1.554
verified: no, type: precision_at_1000
value: 0.2
verified: no, type: precision_at_20
value: 5.959
verified: no, type: precision_at_3
value: 23.796
verified: no, type: precision_at_5
value: 17.024
verified: no, type: recall_at_1
value: 33.377
verified: no, type: recall_at_10
value: 65.067
verified: no, type: recall_at_100
value: 86.04899999999999
verified: no, type: recall_at_1000
value: 96.54899999999999
verified: no, type: recall_at_20
value: 72.071
verified: no, type: recall_at_3
value: 51.349999999999994
verified: no, type: recall_at_5
value: 58.41
verified: no, type: main_score
value: 52.946000000000005
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackEnglishRetrieval (default)
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0
split: test
type: mteb/cqadupstack-english
metrics: type: map_at_1
value: 31.097
verified: no, type: map_at_10
value: 42.183
verified: no, type: map_at_100
value: 43.580999999999996
verified: no, type: map_at_1000
value: 43.718
verified: no, type: map_at_20
value: 42.921
verified: no, type: map_at_3
value: 38.963
verified: no, type: map_at_5
value: 40.815
verified: no, type: mrr_at_1
value: 39.745000000000005
verified: no, type: mrr_at_10
value: 48.736000000000004
verified: no, type: mrr_at_100
value: 49.405
verified: no, type: mrr_at_1000
value: 49.452
verified: no, type: mrr_at_20
value: 49.118
verified: no, type: mrr_at_3
value: 46.497
verified: no, type: mrr_at_5
value: 47.827999999999996
verified: no, type: ndcg_at_1
value: 39.745000000000005
verified: no, type: ndcg_at_10
value: 48.248000000000005
verified: no, type: ndcg_at_100
value: 52.956
verified: no, type: ndcg_at_1000
value: 54.99699999999999
verified: no, type: ndcg_at_20
value: 50.01
verified: no, type: ndcg_at_3
value: 43.946000000000005
verified: no, type: ndcg_at_5
value: 46.038000000000004
verified: no, type: precision_at_1
value: 39.745000000000005
verified: no, type: precision_at_10
value: 9.229
verified: no, type: precision_at_100
value: 1.5070000000000001
verified: no, type: precision_at_1000
value: 0.199
verified: no, type: precision_at_20
value: 5.489999999999999
verified: no, type: precision_at_3
value: 21.38
verified: no, type: precision_at_5
value: 15.274
verified: no, type: recall_at_1
value: 31.097
verified: no, type: recall_at_10
value: 58.617
verified: no, type: recall_at_100
value: 78.55199999999999
verified: no, type: recall_at_1000
value: 91.13900000000001
verified: no, type: recall_at_20
value: 64.92
verified: no, type: recall_at_3
value: 45.672000000000004
verified: no, type: recall_at_5
value: 51.669
verified: no, type: main_score
value: 48.248000000000005
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackGamingRetrieval (default)
revision: 4885aa143210c98657558c04aaf3dc47cfb54340
split: test
type: mteb/cqadupstack-gaming
metrics: type: map_at_1
value: 39.745000000000005
verified: no, type: map_at_10
value: 52.063
verified: no, type: map_at_100
value: 53.077
verified: no, type: map_at_1000
value: 53.13
verified: no, type: map_at_20
value: 52.66
verified: no, type: map_at_3
value: 48.662
verified: no, type: map_at_5
value: 50.507000000000005
verified: no, type: mrr_at_1
value: 45.391999999999996
verified: no, type: mrr_at_10
value: 55.528
verified: no, type: mrr_at_100
value: 56.16100000000001
verified: no, type: mrr_at_1000
value: 56.192
verified: no, type: mrr_at_20
value: 55.923
verified: no, type: mrr_at_3
value: 52.93600000000001
verified: no, type: mrr_at_5
value: 54.435
verified: no, type: ndcg_at_1
value: 45.391999999999996
verified: no, type: ndcg_at_10
value: 58.019
verified: no, type: ndcg_at_100
value: 61.936
verified: no, type: ndcg_at_1000
value: 63.015
verified: no, type: ndcg_at_20
value: 59.691
verified: no, type: ndcg_at_3
value: 52.294
verified: no, type: ndcg_at_5
value: 55.017
verified: no, type: precision_at_1
value: 45.391999999999996
verified: no, type: precision_at_10
value: 9.386
verified: no, type: precision_at_100
value: 1.232
verified: no, type: precision_at_1000
value: 0.136
verified: no, type: precision_at_20
value: 5.223
verified: no, type: precision_at_3
value: 23.177
verified: no, type: precision_at_5
value: 15.9
verified: no, type: recall_at_1
value: 39.745000000000005
verified: no, type: recall_at_10
value: 72.08099999999999
verified: no, type: recall_at_100
value: 88.85300000000001
verified: no, type: recall_at_1000
value: 96.569
verified: no, type: recall_at_20
value: 78.203
verified: no, type: recall_at_3
value: 56.957
verified: no, type: recall_at_5
value: 63.63100000000001
verified: no, type: main_score
value: 58.019
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackGisRetrieval (default)
revision: 5003b3064772da1887988e05400cf3806fe491f2
split: test
type: mteb/cqadupstack-gis
metrics: type: map_at_1
value: 26.651999999999997
verified: no, type: map_at_10
value: 35.799
verified: no, type: map_at_100
value: 36.846000000000004
verified: no, type: map_at_1000
value: 36.931000000000004
verified: no, type: map_at_20
value: 36.341
verified: no, type: map_at_3
value: 32.999
verified: no, type: map_at_5
value: 34.597
verified: no, type: mrr_at_1
value: 28.814
verified: no, type: mrr_at_10
value: 37.869
verified: no, type: mrr_at_100
value: 38.728
verified: no, type: mrr_at_1000
value: 38.795
verified: no, type: mrr_at_20
value: 38.317
verified: no, type: mrr_at_3
value: 35.235
verified: no, type: mrr_at_5
value: 36.738
verified: no, type: ndcg_at_1
value: 28.814
verified: no, type: ndcg_at_10
value: 41.028
verified: no, type: ndcg_at_100
value: 46.162
verified: no, type: ndcg_at_1000
value: 48.15
verified: no, type: ndcg_at_20
value: 42.824
verified: no, type: ndcg_at_3
value: 35.621
verified: no, type: ndcg_at_5
value: 38.277
verified: no, type: precision_at_1
value: 28.814
verified: no, type: precision_at_10
value: 6.361999999999999
verified: no, type: precision_at_100
value: 0.9450000000000001
verified: no, type: precision_at_1000
value: 0.11399999999999999
verified: no, type: precision_at_20
value: 3.6159999999999997
verified: no, type: precision_at_3
value: 15.140999999999998
verified: no, type: precision_at_5
value: 10.712000000000002
verified: no, type: recall_at_1
value: 26.651999999999997
verified: no, type: recall_at_10
value: 55.038
verified: no, type: recall_at_100
value: 78.806
verified: no, type: recall_at_1000
value: 93.485
verified: no, type: recall_at_20
value: 61.742
verified: no, type: recall_at_3
value: 40.682
verified: no, type: recall_at_5
value: 46.855000000000004
verified: no, type: main_score
value: 41.028
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackMathematicaRetrieval (default)
revision: 90fceea13679c63fe563ded68f3b6f06e50061de
split: test
type: mteb/cqadupstack-mathematica
metrics: type: map_at_1
value: 17.627000000000002
verified: no, type: map_at_10
value: 26.436999999999998
verified: no, type: map_at_100
value: 27.85
verified: no, type: map_at_1000
value: 27.955999999999996
verified: no, type: map_at_20
value: 27.233
verified: no, type: map_at_3
value: 23.777
verified: no, type: map_at_5
value: 25.122
verified: no, type: mrr_at_1
value: 22.387999999999998
verified: no, type: mrr_at_10
value: 31.589
verified: no, type: mrr_at_100
value: 32.641999999999996
verified: no, type: mrr_at_1000
value: 32.696999999999996
verified: no, type: mrr_at_20
value: 32.201
verified: no, type: mrr_at_3
value: 28.98
verified: no, type: mrr_at_5
value: 30.342000000000002
verified: no, type: ndcg_at_1
value: 22.387999999999998
verified: no, type: ndcg_at_10
value: 32.129999999999995
verified: no, type: ndcg_at_100
value: 38.562999999999995
verified: no, type: ndcg_at_1000
value: 40.903
verified: no, type: ndcg_at_20
value: 34.652
verified: no, type: ndcg_at_3
value: 27.26
verified: no, type: ndcg_at_5
value: 29.235
verified: no, type: precision_at_1
value: 22.387999999999998
verified: no, type: precision_at_10
value: 5.970000000000001
verified: no, type: precision_at_100
value: 1.068
verified: no, type: precision_at_1000
value: 0.13899999999999998
verified: no, type: precision_at_20
value: 3.6999999999999997
verified: no, type: precision_at_3
value: 13.267000000000001
verified: no, type: precision_at_5
value: 9.403
verified: no, type: recall_at_1
value: 17.627000000000002
verified: no, type: recall_at_10
value: 44.71
verified: no, type: recall_at_100
value: 72.426
verified: no, type: recall_at_1000
value: 88.64699999999999
verified: no, type: recall_at_20
value: 53.65
verified: no, type: recall_at_3
value: 30.989
verified: no, type: recall_at_5
value: 36.237
verified: no, type: main_score
value: 32.129999999999995
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackPhysicsRetrieval (default)
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4
split: test
type: mteb/cqadupstack-physics
metrics: type: map_at_1
value: 30.891000000000002
verified: no, type: map_at_10
value: 41.519
verified: no, type: map_at_100
value: 42.896
verified: no, type: map_at_1000
value: 42.992999999999995
verified: no, type: map_at_20
value: 42.287
verified: no, type: map_at_3
value: 37.822
verified: no, type: map_at_5
value: 39.976
verified: no, type: mrr_at_1
value: 37.921
verified: no, type: mrr_at_10
value: 47.260999999999996
verified: no, type: mrr_at_100
value: 48.044
verified: no, type: mrr_at_1000
value: 48.08
verified: no, type: mrr_at_20
value: 47.699999999999996
verified: no, type: mrr_at_3
value: 44.513999999999996
verified: no, type: mrr_at_5
value: 46.064
verified: no, type: ndcg_at_1
value: 37.921
verified: no, type: ndcg_at_10
value: 47.806
verified: no, type: ndcg_at_100
value: 53.274
verified: no, type: ndcg_at_1000
value: 55.021
verified: no, type: ndcg_at_20
value: 49.973
verified: no, type: ndcg_at_3
value: 42.046
verified: no, type: ndcg_at_5
value: 44.835
verified: no, type: precision_at_1
value: 37.921
verified: no, type: precision_at_10
value: 8.767999999999999
verified: no, type: precision_at_100
value: 1.353
verified: no, type: precision_at_1000
value: 0.168
verified: no, type: precision_at_20
value: 5.135
verified: no, type: precision_at_3
value: 20.051
verified: no, type: precision_at_5
value: 14.398
verified: no, type: recall_at_1
value: 30.891000000000002
verified: no, type: recall_at_10
value: 60.897999999999996
verified: no, type: recall_at_100
value: 83.541
verified: no, type: recall_at_1000
value: 94.825
verified: no, type: recall_at_20
value: 68.356
verified: no, type: recall_at_3
value: 44.65
verified: no, type: recall_at_5
value: 51.919000000000004
verified: no, type: main_score
value: 47.806
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackProgrammersRetrieval (default)
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32
split: test
type: mteb/cqadupstack-programmers
metrics: type: map_at_1
value: 27.654
verified: no, type: map_at_10
value: 38.025999999999996
verified: no, type: map_at_100
value: 39.425
verified: no, type: map_at_1000
value: 39.528
verified: no, type: map_at_20
value: 38.838
verified: no, type: map_at_3
value: 34.745
verified: no, type: map_at_5
value: 36.537
verified: no, type: mrr_at_1
value: 34.018
verified: no, type: mrr_at_10
value: 43.314
verified: no, type: mrr_at_100
value: 44.283
verified: no, type: mrr_at_1000
value: 44.327
verified: no, type: mrr_at_20
value: 43.929
verified: no, type: mrr_at_3
value: 40.868
verified: no, type: mrr_at_5
value: 42.317
verified: no, type: ndcg_at_1
value: 34.018
verified: no, type: ndcg_at_10
value: 43.887
verified: no, type: ndcg_at_100
value: 49.791000000000004
verified: no, type: ndcg_at_1000
value: 51.834
verified: no, type: ndcg_at_20
value: 46.376
verified: no, type: ndcg_at_3
value: 38.769999999999996
verified: no, type: ndcg_at_5
value: 41.144
verified: no, type: precision_at_1
value: 34.018
verified: no, type: precision_at_10
value: 8.001999999999999
verified: no, type: precision_at_100
value: 1.2630000000000001
verified: no, type: precision_at_1000
value: 0.16
verified: no, type: precision_at_20
value: 4.737
verified: no, type: precision_at_3
value: 18.417
verified: no, type: precision_at_5
value: 13.150999999999998
verified: no, type: recall_at_1
value: 27.654
verified: no, type: recall_at_10
value: 56.111
verified: no, type: recall_at_100
value: 81.136
verified: no, type: recall_at_1000
value: 94.788
verified: no, type: recall_at_20
value: 65.068
verified: no, type: recall_at_3
value: 41.713
verified: no, type: recall_at_5
value: 48.106
verified: no, type: main_score
value: 43.887
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackRetrieval (default)
revision: CQADupstackRetrieval_is_a_combined_dataset
split: test
type: CQADupstackRetrieval_is_a_combined_dataset
metrics: type: main_score
value: 42.58858333333333
verified: no, type: ndcg_at_10
value: 42.58858333333333
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackStatsRetrieval (default)
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a
split: test
type: mteb/cqadupstack-stats
metrics: type: map_at_1
value: 24.501
verified: no, type: map_at_10
value: 32.814
verified: no, type: map_at_100
value: 33.754
verified: no, type: map_at_1000
value: 33.859
verified: no, type: map_at_20
value: 33.324
verified: no, type: map_at_3
value: 30.758000000000003
verified: no, type: map_at_5
value: 31.936999999999998
verified: no, type: mrr_at_1
value: 27.761000000000003
verified: no, type: mrr_at_10
value: 35.662
verified: no, type: mrr_at_100
value: 36.443999999999996
verified: no, type: mrr_at_1000
value: 36.516999999999996
verified: no, type: mrr_at_20
value: 36.085
verified: no, type: mrr_at_3
value: 33.742
verified: no, type: mrr_at_5
value: 34.931
verified: no, type: ndcg_at_1
value: 27.761000000000003
verified: no, type: ndcg_at_10
value: 37.208000000000006
verified: no, type: ndcg_at_100
value: 41.839
verified: no, type: ndcg_at_1000
value: 44.421
verified: no, type: ndcg_at_20
value: 38.917
verified: no, type: ndcg_at_3
value: 33.544000000000004
verified: no, type: ndcg_at_5
value: 35.374
verified: no, type: precision_at_1
value: 27.761000000000003
verified: no, type: precision_at_10
value: 5.92
verified: no, type: precision_at_100
value: 0.899
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_20
value: 3.4130000000000003
verified: no, type: precision_at_3
value: 15.031
verified: no, type: precision_at_5
value: 10.306999999999999
verified: no, type: recall_at_1
value: 24.501
verified: no, type: recall_at_10
value: 47.579
verified: no, type: recall_at_100
value: 69.045
verified: no, type: recall_at_1000
value: 88.032
verified: no, type: recall_at_20
value: 54.125
verified: no, type: recall_at_3
value: 37.202
verified: no, type: recall_at_5
value: 41.927
verified: no, type: main_score
value: 37.208000000000006
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackTexRetrieval (default)
revision: 46989137a86843e03a6195de44b09deda022eec7
split: test
type: mteb/cqadupstack-tex
metrics: type: map_at_1
value: 18.29
verified: no, type: map_at_10
value: 26.183
verified: no, type: map_at_100
value: 27.351999999999997
verified: no, type: map_at_1000
value: 27.483999999999998
verified: no, type: map_at_20
value: 26.798
verified: no, type: map_at_3
value: 23.629
verified: no, type: map_at_5
value: 24.937
verified: no, type: mrr_at_1
value: 22.299
verified: no, type: mrr_at_10
value: 30.189
verified: no, type: mrr_at_100
value: 31.098
verified: no, type: mrr_at_1000
value: 31.177
verified: no, type: mrr_at_20
value: 30.697000000000003
verified: no, type: mrr_at_3
value: 27.862
verified: no, type: mrr_at_5
value: 29.066
verified: no, type: ndcg_at_1
value: 22.299
verified: no, type: ndcg_at_10
value: 31.202
verified: no, type: ndcg_at_100
value: 36.617
verified: no, type: ndcg_at_1000
value: 39.544000000000004
verified: no, type: ndcg_at_20
value: 33.177
verified: no, type: ndcg_at_3
value: 26.639000000000003
verified: no, type: ndcg_at_5
value: 28.526
verified: no, type: precision_at_1
value: 22.299
verified: no, type: precision_at_10
value: 5.8020000000000005
verified: no, type: precision_at_100
value: 1.0070000000000001
verified: no, type: precision_at_1000
value: 0.14400000000000002
verified: no, type: precision_at_20
value: 3.505
verified: no, type: precision_at_3
value: 12.698
verified: no, type: precision_at_5
value: 9.174
verified: no, type: recall_at_1
value: 18.29
verified: no, type: recall_at_10
value: 42.254999999999995
verified: no, type: recall_at_100
value: 66.60000000000001
verified: no, type: recall_at_1000
value: 87.31400000000001
verified: no, type: recall_at_20
value: 49.572
verified: no, type: recall_at_3
value: 29.342000000000002
verified: no, type: recall_at_5
value: 34.221000000000004
verified: no, type: main_score
value: 31.202
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackUnixRetrieval (default)
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53
split: test
type: mteb/cqadupstack-unix
metrics: type: map_at_1
value: 27.722
verified: no, type: map_at_10
value: 37.698
verified: no, type: map_at_100
value: 38.899
verified: no, type: map_at_1000
value: 38.998
verified: no, type: map_at_20
value: 38.381
verified: no, type: map_at_3
value: 34.244
verified: no, type: map_at_5
value: 36.295
verified: no, type: mrr_at_1
value: 32.183
verified: no, type: mrr_at_10
value: 41.429
verified: no, type: mrr_at_100
value: 42.308
verified: no, type: mrr_at_1000
value: 42.358000000000004
verified: no, type: mrr_at_20
value: 41.957
verified: no, type: mrr_at_3
value: 38.401999999999994
verified: no, type: mrr_at_5
value: 40.294999999999995
verified: no, type: ndcg_at_1
value: 32.183
verified: no, type: ndcg_at_10
value: 43.519000000000005
verified: no, type: ndcg_at_100
value: 48.786
verified: no, type: ndcg_at_1000
value: 50.861999999999995
verified: no, type: ndcg_at_20
value: 45.654
verified: no, type: ndcg_at_3
value: 37.521
verified: no, type: ndcg_at_5
value: 40.615
verified: no, type: precision_at_1
value: 32.183
verified: no, type: precision_at_10
value: 7.603
verified: no, type: precision_at_100
value: 1.135
verified: no, type: precision_at_1000
value: 0.14200000000000002
verified: no, type: precision_at_20
value: 4.408
verified: no, type: precision_at_3
value: 17.071
verified: no, type: precision_at_5
value: 12.668
verified: no, type: recall_at_1
value: 27.722
verified: no, type: recall_at_10
value: 57.230000000000004
verified: no, type: recall_at_100
value: 79.97999999999999
verified: no, type: recall_at_1000
value: 94.217
verified: no, type: recall_at_20
value: 64.864
verified: no, type: recall_at_3
value: 41.215
verified: no, type: recall_at_5
value: 48.774
verified: no, type: main_score
value: 43.519000000000005
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackWebmastersRetrieval (default)
revision: 160c094312a0e1facb97e55eeddb698c0abe3571
split: test
type: mteb/cqadupstack-webmasters
metrics: type: map_at_1
value: 25.852999999999998
verified: no, type: map_at_10
value: 35.394999999999996
verified: no, type: map_at_100
value: 37.291999999999994
verified: no, type: map_at_1000
value: 37.495
verified: no, type: map_at_20
value: 36.372
verified: no, type: map_at_3
value: 32.336
verified: no, type: map_at_5
value: 34.159
verified: no, type: mrr_at_1
value: 31.818
verified: no, type: mrr_at_10
value: 40.677
verified: no, type: mrr_at_100
value: 41.728
verified: no, type: mrr_at_1000
value: 41.778
verified: no, type: mrr_at_20
value: 41.301
verified: no, type: mrr_at_3
value: 38.208
verified: no, type: mrr_at_5
value: 39.592
verified: no, type: ndcg_at_1
value: 31.818
verified: no, type: ndcg_at_10
value: 41.559000000000005
verified: no, type: ndcg_at_100
value: 48.012
verified: no, type: ndcg_at_1000
value: 50.234
verified: no, type: ndcg_at_20
value: 44.15
verified: no, type: ndcg_at_3
value: 36.918
verified: no, type: ndcg_at_5
value: 39.227000000000004
verified: no, type: precision_at_1
value: 31.818
verified: no, type: precision_at_10
value: 8.043
verified: no, type: precision_at_100
value: 1.625
verified: no, type: precision_at_1000
value: 0.245
verified: no, type: precision_at_20
value: 5.2170000000000005
verified: no, type: precision_at_3
value: 17.655
verified: no, type: precision_at_5
value: 12.845999999999998
verified: no, type: recall_at_1
value: 25.852999999999998
verified: no, type: recall_at_10
value: 53.093
verified: no, type: recall_at_100
value: 81.05799999999999
verified: no, type: recall_at_1000
value: 94.657
verified: no, type: recall_at_20
value: 62.748000000000005
verified: no, type: recall_at_3
value: 39.300000000000004
verified: no, type: recall_at_5
value: 45.754
verified: no, type: main_score
value: 41.559000000000005
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CQADupstackWordpressRetrieval (default)
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4
split: test
type: mteb/cqadupstack-wordpress
metrics: type: map_at_1
value: 19.23
verified: no, type: map_at_10
value: 28.128999999999998
verified: no, type: map_at_100
value: 29.195
verified: no, type: map_at_1000
value: 29.310000000000002
verified: no, type: map_at_20
value: 28.713
verified: no, type: map_at_3
value: 25.191000000000003
verified: no, type: map_at_5
value: 26.69
verified: no, type: mrr_at_1
value: 21.257
verified: no, type: mrr_at_10
value: 30.253999999999998
verified: no, type: mrr_at_100
value: 31.195
verified: no, type: mrr_at_1000
value: 31.270999999999997
verified: no, type: mrr_at_20
value: 30.747999999999998
verified: no, type: mrr_at_3
value: 27.633999999999997
verified: no, type: mrr_at_5
value: 28.937
verified: no, type: ndcg_at_1
value: 21.257
verified: no, type: ndcg_at_10
value: 33.511
verified: no, type: ndcg_at_100
value: 38.733000000000004
verified: no, type: ndcg_at_1000
value: 41.489
verified: no, type: ndcg_at_20
value: 35.476
verified: no, type: ndcg_at_3
value: 27.845
verified: no, type: ndcg_at_5
value: 30.264999999999997
verified: no, type: precision_at_1
value: 21.257
verified: no, type: precision_at_10
value: 5.619
verified: no, type: precision_at_100
value: 0.893
verified: no, type: precision_at_1000
value: 0.124
verified: no, type: precision_at_20
value: 3.29
verified: no, type: precision_at_3
value: 12.508
verified: no, type: precision_at_5
value: 8.946
verified: no, type: recall_at_1
value: 19.23
verified: no, type: recall_at_10
value: 48.185
verified: no, type: recall_at_100
value: 71.932
verified: no, type: recall_at_1000
value: 92.587
verified: no, type: recall_at_20
value: 55.533
verified: no, type: recall_at_3
value: 32.865
verified: no, type: recall_at_5
value: 38.577
verified: no, type: main_score
value: 33.511
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ClimateFEVER (default)
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380
split: test
type: mteb/climate-fever
metrics: type: map_at_1
value: 19.594
verified: no, type: map_at_10
value: 32.519
verified: no, type: map_at_100
value: 34.1
verified: no, type: map_at_1000
value: 34.263
verified: no, type: map_at_20
value: 33.353
verified: no, type: map_at_3
value: 27.898
verified: no, type: map_at_5
value: 30.524
verified: no, type: mrr_at_1
value: 46.515
verified: no, type: mrr_at_10
value: 56.958
verified: no, type: mrr_at_100
value: 57.54899999999999
verified: no, type: mrr_at_1000
value: 57.574999999999996
verified: no, type: mrr_at_20
value: 57.315000000000005
verified: no, type: mrr_at_3
value: 54.852999999999994
verified: no, type: mrr_at_5
value: 56.153
verified: no, type: ndcg_at_1
value: 46.515
verified: no, type: ndcg_at_10
value: 42.363
verified: no, type: ndcg_at_100
value: 48.233
verified: no, type: ndcg_at_1000
value: 50.993
verified: no, type: ndcg_at_20
value: 44.533
verified: no, type: ndcg_at_3
value: 37.297000000000004
verified: no, type: ndcg_at_5
value: 38.911
verified: no, type: precision_at_1
value: 46.515
verified: no, type: precision_at_10
value: 12.520999999999999
verified: no, type: precision_at_100
value: 1.8980000000000001
verified: no, type: precision_at_1000
value: 0.242
verified: no, type: precision_at_20
value: 7.212000000000001
verified: no, type: precision_at_3
value: 27.752
verified: no, type: precision_at_5
value: 20.391000000000002
verified: no, type: recall_at_1
value: 19.594
verified: no, type: recall_at_10
value: 46.539
verified: no, type: recall_at_100
value: 66.782
verified: no, type: recall_at_1000
value: 82.049
verified: no, type: recall_at_20
value: 52.611
verified: no, type: recall_at_3
value: 32.528
verified: no, type: recall_at_5
value: 38.933
verified: no, type: main_score
value: 42.363
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB CmedqaRetrieval (default)
revision: cd540c506dae1cf9e9a59c3e06f42030d54e7301
split: dev
type: C-MTEB/CmedqaRetrieval
metrics: type: main_score
value: 35.927
verified: no, type: map_at_1
value: 20.144000000000002
verified: no, type: map_at_10
value: 29.94
verified: no, type: map_at_100
value: 31.630000000000003
verified: no, type: map_at_1000
value: 31.778000000000002
verified: no, type: map_at_20
value: 30.798
verified: no, type: map_at_3
value: 26.534999999999997
verified: no, type: map_at_5
value: 28.33
verified: no, type: mrr_at_1
value: 31.23280820205051
verified: no, type: mrr_at_10
value: 38.66781179421835
verified: no, type: mrr_at_100
value: 39.656936166081785
verified: no, type: mrr_at_1000
value: 39.724602893117414
verified: no, type: mrr_at_20
value: 39.21272461558451
verified: no, type: mrr_at_3
value: 36.30907726931729
verified: no, type: mrr_at_5
value: 37.59814953738436
verified: no, type: nauc_map_at_1000_diff1
value: 44.5755334437146
verified: no, type: nauc_map_at_1000_max
value: 40.726916781400746
verified: no, type: nauc_map_at_1000_std
value: -19.591835061497367
verified: no, type: nauc_map_at_100_diff1
value: 44.54542899921038
verified: no, type: nauc_map_at_100_max
value: 40.68305902532837
verified: no, type: nauc_map_at_100_std
value: -19.658902089283487
verified: no, type: nauc_map_at_10_diff1
value: 44.56110529630953
verified: no, type: nauc_map_at_10_max
value: 39.89826167846008
verified: no, type: nauc_map_at_10_std
value: -20.62910633667902
verified: no, type: nauc_map_at_1_diff1
value: 50.82120107004449
verified: no, type: nauc_map_at_1_max
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verified: no, type: nauc_map_at_1_std
value: -20.29409730258174
verified: no, type: nauc_map_at_20_diff1
value: 44.51171242433788
verified: no, type: nauc_map_at_20_max
value: 40.30431132782945
verified: no, type: nauc_map_at_20_std
value: -20.290524142792417
verified: no, type: nauc_map_at_3_diff1
value: 45.80394138665133
verified: no, type: nauc_map_at_3_max
value: 37.766191281426956
verified: no, type: nauc_map_at_3_std
value: -21.223601997333876
verified: no, type: nauc_map_at_5_diff1
value: 45.00457218474283
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name: MTEB Cmnli (default)
revision: None
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verified: no
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name: MTEB EmotionClassification (default)
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37
split: test
type: mteb/emotion
metrics: type: accuracy
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name: MTEB FEVER (default)
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12
split: test
type: mteb/fever
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verified: no, type: map_at_1000
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verified: no, type: precision_at_5
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verified: no, type: recall_at_1000
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verified: no, type: recall_at_3
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verified: no, type: recall_at_5
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verified: no, type: main_score
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name: MTEB FiQA2018 (default)
revision: 27a168819829fe9bcd655c2df245fb19452e8e06
split: test
type: mteb/fiqa
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task: type: Retrieval, dataset: config: default
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revision: 3765c0d1de6b7d264bc459433c45e5a75513839c
split: test
type: ai-forever/georeview-classification
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revision: 97a313c8fc85b47f13f33e7e9a95c1ad888c7fec
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verified: no, type: precision_at_1
value: 90.789
verified: no, type: precision_at_10
value: 9.908999999999999
verified: no, type: precision_at_100
value: 1
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_20
value: 4.977
verified: no, type: precision_at_3
value: 32.471
verified: no, type: precision_at_5
value: 19.701
verified: no, type: recall_at_1
value: 90.789
verified: no, type: recall_at_10
value: 99.093
verified: no, type: recall_at_100
value: 99.955
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_20
value: 99.546
verified: no, type: recall_at_3
value: 97.414
verified: no, type: recall_at_5
value: 98.503
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB GermanSTSBenchmark (default)
revision: e36907544d44c3a247898ed81540310442329e20
split: test
type: jinaai/german-STSbenchmark
metrics: type: cosine_pearson
value: 86.55319003300265
verified: no, type: cosine_spearman
value: 87.50267373081324
verified: no, type: euclidean_pearson
value: 87.41630636501863
verified: no, type: euclidean_spearman
value: 88.02170803409365
verified: no, type: main_score
value: 87.50267373081324
verified: no, type: manhattan_pearson
value: 87.33703179056744
verified: no, type: manhattan_spearman
value: 87.99192826922514
verified: no, type: pearson
value: 86.55319003300265
verified: no, type: spearman
value: 87.50267373081324
verified: no
task: type: STS, dataset: config: default
name: MTEB HALClusteringS2S (default)
revision: e06ebbbb123f8144bef1a5d18796f3dec9ae2915
split: test
type: lyon-nlp/clustering-hal-s2s
metrics: type: main_score
value: 27.477557517301303
verified: no, type: v_measure
value: 27.477557517301303
verified: no, type: v_measure_std
value: 3.3525736581861336
verified: no
task: type: Clustering, dataset: config: default
name: MTEB HeadlineClassification (default)
revision: 2fe05ee6b5832cda29f2ef7aaad7b7fe6a3609eb
split: test
type: ai-forever/headline-classification
metrics: type: accuracy
value: 75.0830078125
verified: no, type: f1
value: 75.08863209267814
verified: no, type: f1_weighted
value: 75.08895979060917
verified: no, type: main_score
value: 75.0830078125
verified: no
task: type: Classification, dataset: config: default
name: MTEB HotpotQA (default)
revision: ab518f4d6fcca38d87c25209f94beba119d02014
split: test
type: mteb/hotpotqa
metrics: type: map_at_1
value: 38.143
verified: no, type: map_at_10
value: 55.916999999999994
verified: no, type: map_at_100
value: 56.706
verified: no, type: map_at_1000
value: 56.77100000000001
verified: no, type: map_at_20
value: 56.367
verified: no, type: map_at_3
value: 53.111
verified: no, type: map_at_5
value: 54.839000000000006
verified: no, type: mrr_at_1
value: 76.286
verified: no, type: mrr_at_10
value: 81.879
verified: no, type: mrr_at_100
value: 82.09100000000001
verified: no, type: mrr_at_1000
value: 82.101
verified: no, type: mrr_at_20
value: 82.01
verified: no, type: mrr_at_3
value: 80.972
verified: no, type: mrr_at_5
value: 81.537
verified: no, type: ndcg_at_1
value: 76.286
verified: no, type: ndcg_at_10
value: 64.673
verified: no, type: ndcg_at_100
value: 67.527
verified: no, type: ndcg_at_1000
value: 68.857
verified: no, type: ndcg_at_20
value: 65.822
verified: no, type: ndcg_at_3
value: 60.616
verified: no, type: ndcg_at_5
value: 62.827999999999996
verified: no, type: precision_at_1
value: 76.286
verified: no, type: precision_at_10
value: 13.196
verified: no, type: precision_at_100
value: 1.544
verified: no, type: precision_at_1000
value: 0.172
verified: no, type: precision_at_20
value: 6.968000000000001
verified: no, type: precision_at_3
value: 37.992
verified: no, type: precision_at_5
value: 24.54
verified: no, type: recall_at_1
value: 38.143
verified: no, type: recall_at_10
value: 65.982
verified: no, type: recall_at_100
value: 77.225
verified: no, type: recall_at_1000
value: 86.077
verified: no, type: recall_at_20
value: 69.68299999999999
verified: no, type: recall_at_3
value: 56.989000000000004
verified: no, type: recall_at_5
value: 61.35
verified: no, type: main_score
value: 64.673
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB IFlyTek (default)
revision: 421605374b29664c5fc098418fe20ada9bd55f8a
split: validation
type: C-MTEB/IFlyTek-classification
metrics: type: accuracy
value: 41.67756829549827
verified: no, type: f1
value: 33.929325579581636
verified: no, type: f1_weighted
value: 43.03952025643197
verified: no, type: main_score
value: 41.67756829549827
verified: no
task: type: Classification, dataset: config: default
name: MTEB ImdbClassification (default)
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7
split: test
type: mteb/imdb
metrics: type: accuracy
value: 91.90440000000001
verified: no, type: ap
value: 88.78663714603425
verified: no, type: ap_weighted
value: 88.78663714603425
verified: no, type: f1
value: 91.89564361975891
verified: no, type: f1_weighted
value: 91.89564361975891
verified: no, type: main_score
value: 91.90440000000001
verified: no
task: type: Classification, dataset: config: default
name: MTEB InappropriatenessClassification (default)
revision: 601651fdc45ef243751676e62dd7a19f491c0285
split: test
type: ai-forever/inappropriateness-classification
metrics: type: accuracy
value: 61.0498046875
verified: no, type: ap
value: 57.04240566648215
verified: no, type: ap_weighted
value: 57.04240566648215
verified: no, type: f1
value: 60.867630038606954
verified: no, type: f1_weighted
value: 60.867630038606954
verified: no, type: main_score
value: 61.0498046875
verified: no
task: type: Classification, dataset: config: default
name: MTEB JDReview (default)
revision: b7c64bd89eb87f8ded463478346f76731f07bf8b
split: test
type: C-MTEB/JDReview-classification
metrics: type: accuracy
value: 83.50844277673546
verified: no, type: ap
value: 48.46732380712268
verified: no, type: ap_weighted
value: 48.46732380712268
verified: no, type: f1
value: 77.43967451387445
verified: no, type: f1_weighted
value: 84.78462929014114
verified: no, type: main_score
value: 83.50844277673546
verified: no
task: type: Classification, dataset: config: default
name: MTEB KinopoiskClassification (default)
revision: 5911f26666ac11af46cb9c6849d0dc80a378af24
split: test
type: ai-forever/kinopoisk-sentiment-classification
metrics: type: accuracy
value: 62.393333333333324
verified: no, type: f1
value: 61.35940129568015
verified: no, type: f1_weighted
value: 61.35940129568015
verified: no, type: main_score
value: 62.393333333333324
verified: no
task: type: Classification, dataset: config: default
name: MTEB LCQMC (default)
revision: 17f9b096f80380fce5ed12a9be8be7784b337daf
split: test
type: C-MTEB/LCQMC
metrics: type: cosine_pearson
value: 67.74375505907872
verified: no, type: cosine_spearman
value: 75.94582231399434
verified: no, type: euclidean_pearson
value: 74.52501692443582
verified: no, type: euclidean_spearman
value: 75.88428434746646
verified: no, type: main_score
value: 75.94582231399434
verified: no, type: manhattan_pearson
value: 74.55015441749529
verified: no, type: manhattan_spearman
value: 75.83288262176175
verified: no, type: pearson
value: 67.74375505907872
verified: no, type: spearman
value: 75.94582231399434
verified: no
task: type: STS, dataset: config: default
name: MTEB LEMBNarrativeQARetrieval (default)
revision: 6e346642246bfb4928c560ee08640dc84d074e8c
split: test
type: dwzhu/LongEmbed
metrics: type: map_at_1
value: 23.093
verified: no, type: map_at_10
value: 30.227999999999998
verified: no, type: map_at_100
value: 31.423000000000002
verified: no, type: map_at_1000
value: 31.533
verified: no, type: map_at_20
value: 30.835
verified: no, type: map_at_3
value: 27.983999999999998
verified: no, type: map_at_5
value: 29.253
verified: no, type: mrr_at_1
value: 23.093
verified: no, type: mrr_at_10
value: 30.227999999999998
verified: no, type: mrr_at_100
value: 31.423000000000002
verified: no, type: mrr_at_1000
value: 31.533
verified: no, type: mrr_at_20
value: 30.835
verified: no, type: mrr_at_3
value: 27.983999999999998
verified: no, type: mrr_at_5
value: 29.253
verified: no, type: ndcg_at_1
value: 23.093
verified: no, type: ndcg_at_10
value: 34.297
verified: no, type: ndcg_at_100
value: 41.049
verified: no, type: ndcg_at_1000
value: 43.566
verified: no, type: ndcg_at_20
value: 36.52
verified: no, type: ndcg_at_3
value: 29.629
verified: no, type: ndcg_at_5
value: 31.926
verified: no, type: precision_at_1
value: 23.093
verified: no, type: precision_at_10
value: 4.735
verified: no, type: precision_at_100
value: 0.8109999999999999
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_20
value: 2.8080000000000003
verified: no, type: precision_at_3
value: 11.468
verified: no, type: precision_at_5
value: 8.001
verified: no, type: recall_at_1
value: 23.093
verified: no, type: recall_at_10
value: 47.354
verified: no, type: recall_at_100
value: 81.147
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_20
value: 56.16799999999999
verified: no, type: recall_at_3
value: 34.405
verified: no, type: recall_at_5
value: 40.004
verified: no, type: main_score
value: 34.297
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB LEMBNeedleRetrieval (default)
revision: 6e346642246bfb4928c560ee08640dc84d074e8c
split: test_256
type: dwzhu/LongEmbed
metrics: type: map_at_1
value: 64
verified: no, type: map_at_10
value: 77.083
verified: no, type: map_at_100
value: 77.265
verified: no, type: map_at_1000
value: 77.265
verified: no, type: map_at_20
value: 77.265
verified: no, type: map_at_3
value: 76.333
verified: no, type: map_at_5
value: 76.833
verified: no, type: mrr_at_1
value: 64
verified: no, type: mrr_at_10
value: 77.083
verified: no, type: mrr_at_100
value: 77.265
verified: no, type: mrr_at_1000
value: 77.265
verified: no, type: mrr_at_20
value: 77.265
verified: no, type: mrr_at_3
value: 76.333
verified: no, type: mrr_at_5
value: 76.833
verified: no, type: ndcg_at_1
value: 64
verified: no, type: ndcg_at_10
value: 82.325
verified: no, type: ndcg_at_100
value: 82.883
verified: no, type: ndcg_at_1000
value: 82.883
verified: no, type: ndcg_at_20
value: 82.883
verified: no, type: ndcg_at_3
value: 80.833
verified: no, type: ndcg_at_5
value: 81.694
verified: no, type: precision_at_1
value: 64
verified: no, type: precision_at_10
value: 9.8
verified: no, type: precision_at_100
value: 1
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_20
value: 5
verified: no, type: precision_at_3
value: 31.333
verified: no, type: precision_at_5
value: 19.2
verified: no, type: recall_at_1
value: 64
verified: no, type: recall_at_10
value: 98
verified: no, type: recall_at_100
value: 100
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_20
value: 100
verified: no, type: recall_at_3
value: 94
verified: no, type: recall_at_5
value: 96
verified: no, type: main_score
value: 64
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB LEMBPasskeyRetrieval (default)
revision: 6e346642246bfb4928c560ee08640dc84d074e8c
split: test_256
type: dwzhu/LongEmbed
metrics: type: map_at_1
value: 100
verified: no, type: map_at_10
value: 100
verified: no, type: map_at_100
value: 100
verified: no, type: map_at_1000
value: 100
verified: no, type: map_at_20
value: 100
verified: no, type: map_at_3
value: 100
verified: no, type: map_at_5
value: 100
verified: no, type: mrr_at_1
value: 100
verified: no, type: mrr_at_10
value: 100
verified: no, type: mrr_at_100
value: 100
verified: no, type: mrr_at_1000
value: 100
verified: no, type: mrr_at_20
value: 100
verified: no, type: mrr_at_3
value: 100
verified: no, type: mrr_at_5
value: 100
verified: no, type: ndcg_at_1
value: 100
verified: no, type: ndcg_at_10
value: 100
verified: no, type: ndcg_at_100
value: 100
verified: no, type: ndcg_at_1000
value: 100
verified: no, type: ndcg_at_20
value: 100
verified: no, type: ndcg_at_3
value: 100
verified: no, type: ndcg_at_5
value: 100
verified: no, type: precision_at_1
value: 100
verified: no, type: precision_at_10
value: 10
verified: no, type: precision_at_100
value: 1
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_20
value: 5
verified: no, type: precision_at_3
value: 33.333
verified: no, type: precision_at_5
value: 20
verified: no, type: recall_at_1
value: 100
verified: no, type: recall_at_10
value: 100
verified: no, type: recall_at_100
value: 100
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_20
value: 100
verified: no, type: recall_at_3
value: 100
verified: no, type: recall_at_5
value: 100
verified: no, type: main_score
value: 100
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB LEMBQMSumRetrieval (default)
revision: 6e346642246bfb4928c560ee08640dc84d074e8c
split: test
type: dwzhu/LongEmbed
metrics: type: map_at_1
value: 24.361
verified: no, type: map_at_10
value: 33.641
verified: no, type: map_at_100
value: 35.104
verified: no, type: map_at_1000
value: 35.127
verified: no, type: map_at_20
value: 34.388999999999996
verified: no, type: map_at_3
value: 30.255
verified: no, type: map_at_5
value: 32.079
verified: no, type: mrr_at_1
value: 24.361
verified: no, type: mrr_at_10
value: 33.641
verified: no, type: mrr_at_100
value: 35.104
verified: no, type: mrr_at_1000
value: 35.127
verified: no, type: mrr_at_20
value: 34.388999999999996
verified: no, type: mrr_at_3
value: 30.255
verified: no, type: mrr_at_5
value: 32.079
verified: no, type: ndcg_at_1
value: 24.361
verified: no, type: ndcg_at_10
value: 39.337
verified: no, type: ndcg_at_100
value: 47.384
verified: no, type: ndcg_at_1000
value: 47.75
verified: no, type: ndcg_at_20
value: 42.077999999999996
verified: no, type: ndcg_at_3
value: 32.235
verified: no, type: ndcg_at_5
value: 35.524
verified: no, type: precision_at_1
value: 24.361
verified: no, type: precision_at_10
value: 5.783
verified: no, type: precision_at_100
value: 0.975
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_20
value: 3.435
verified: no, type: precision_at_3
value: 12.661
verified: no, type: precision_at_5
value: 9.193999999999999
verified: no, type: recall_at_1
value: 24.361
verified: no, type: recall_at_10
value: 57.826
verified: no, type: recall_at_100
value: 97.51100000000001
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_20
value: 68.697
verified: no, type: recall_at_3
value: 37.983
verified: no, type: recall_at_5
value: 45.972
verified: no, type: main_score
value: 39.337
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB LEMBSummScreenFDRetrieval (default)
revision: 6e346642246bfb4928c560ee08640dc84d074e8c
split: validation
type: dwzhu/LongEmbed
metrics: type: map_at_1
value: 84.821
verified: no, type: map_at_10
value: 90.11200000000001
verified: no, type: map_at_100
value: 90.158
verified: no, type: map_at_1000
value: 90.158
verified: no, type: map_at_20
value: 90.137
verified: no, type: map_at_3
value: 89.385
verified: no, type: map_at_5
value: 89.876
verified: no, type: mrr_at_1
value: 84.821
verified: no, type: mrr_at_10
value: 90.11200000000001
verified: no, type: mrr_at_100
value: 90.158
verified: no, type: mrr_at_1000
value: 90.158
verified: no, type: mrr_at_20
value: 90.137
verified: no, type: mrr_at_3
value: 89.385
verified: no, type: mrr_at_5
value: 89.876
verified: no, type: ndcg_at_1
value: 84.821
verified: no, type: ndcg_at_10
value: 92.334
verified: no, type: ndcg_at_100
value: 92.535
verified: no, type: ndcg_at_1000
value: 92.535
verified: no, type: ndcg_at_20
value: 92.414
verified: no, type: ndcg_at_3
value: 90.887
verified: no, type: ndcg_at_5
value: 91.758
verified: no, type: precision_at_1
value: 84.821
verified: no, type: precision_at_10
value: 9.911
verified: no, type: precision_at_100
value: 1
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_20
value: 4.97
verified: no, type: precision_at_3
value: 31.746000000000002
verified: no, type: precision_at_5
value: 19.464000000000002
verified: no, type: recall_at_1
value: 84.821
verified: no, type: recall_at_10
value: 99.107
verified: no, type: recall_at_100
value: 100
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_20
value: 99.405
verified: no, type: recall_at_3
value: 95.238
verified: no, type: recall_at_5
value: 97.321
verified: no, type: main_score
value: 92.334
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB LEMBWikimQARetrieval (default)
revision: 6e346642246bfb4928c560ee08640dc84d074e8c
split: test
type: dwzhu/LongEmbed
metrics: type: map_at_1
value: 53.667
verified: no, type: map_at_10
value: 61.719
verified: no, type: map_at_100
value: 62.471
verified: no, type: map_at_1000
value: 62.492000000000004
verified: no, type: map_at_20
value: 62.153000000000006
verified: no, type: map_at_3
value: 59.167
verified: no, type: map_at_5
value: 60.95
verified: no, type: mrr_at_1
value: 53.667
verified: no, type: mrr_at_10
value: 61.719
verified: no, type: mrr_at_100
value: 62.471
verified: no, type: mrr_at_1000
value: 62.492000000000004
verified: no, type: mrr_at_20
value: 62.153000000000006
verified: no, type: mrr_at_3
value: 59.167
verified: no, type: mrr_at_5
value: 60.95
verified: no, type: ndcg_at_1
value: 53.667
verified: no, type: ndcg_at_10
value: 66.018
verified: no, type: ndcg_at_100
value: 69.726
verified: no, type: ndcg_at_1000
value: 70.143
verified: no, type: ndcg_at_20
value: 67.61399999999999
verified: no, type: ndcg_at_3
value: 60.924
verified: no, type: ndcg_at_5
value: 64.10900000000001
verified: no, type: precision_at_1
value: 53.667
verified: no, type: precision_at_10
value: 7.9670000000000005
verified: no, type: precision_at_100
value: 0.97
verified: no, type: precision_at_1000
value: 0.1
verified: no, type: precision_at_20
value: 4.3
verified: no, type: precision_at_3
value: 22
verified: no, type: precision_at_5
value: 14.732999999999999
verified: no, type: recall_at_1
value: 53.667
verified: no, type: recall_at_10
value: 79.667
verified: no, type: recall_at_100
value: 97
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_20
value: 86
verified: no, type: recall_at_3
value: 66
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verified: no, type: ndcg_at_1000
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verified: no, type: precision_at_1000
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verified: no, type: recall_at_100
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verified: no, type: recall_at_1000
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verified: no, type: recall_at_3
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verified: no, type: recall_at_5
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verified: no
task: type: Retrieval, dataset: config: eng-eng
name: MTEB MLQARetrieval (eng-eng)
revision: 397ed406c1a7902140303e7faf60fff35b58d285
split: test
type: facebook/mlqa
metrics: type: main_score
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verified: no, type: map_at_100
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verified: no, type: mrr_at_100
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verified: no, type: ndcg_at_1
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verified: no, type: ndcg_at_10
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verified: no, type: ndcg_at_100
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verified: no, type: ndcg_at_1000
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verified: no, type: ndcg_at_20
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verified: no, type: ndcg_at_3
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verified: no, type: ndcg_at_5
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verified: no, type: precision_at_1
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verified: no, type: precision_at_10
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verified: no, type: precision_at_100
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verified: no, type: precision_at_1000
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verified: no, type: precision_at_20
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verified: no, type: precision_at_3
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verified: no, type: precision_at_5
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verified: no, type: recall_at_1
value: 54.308
verified: no, type: recall_at_10
value: 75.622
verified: no, type: recall_at_100
value: 89.744
verified: no, type: recall_at_1000
value: 97.539
verified: no, type: recall_at_20
value: 80.085
verified: no, type: recall_at_3
value: 66.09
verified: no, type: recall_at_5
value: 70.446
verified: no
task: type: Retrieval, dataset: config: de
name: MTEB MLSUMClusteringP2P (de)
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: reciTAL/mlsum
metrics: type: main_score
value: 41.267647761702854
verified: no, type: v_measure
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verified: no, type: v_measure_std
value: 10.93390895077248
verified: no
task: type: Clustering, dataset: config: fr
name: MTEB MLSUMClusteringP2P (fr)
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: reciTAL/mlsum
metrics: type: main_score
value: 44.68714862333979
verified: no, type: v_measure
value: 44.68714862333979
verified: no, type: v_measure_std
value: 1.811036989797814
verified: no
task: type: Clustering, dataset: config: ru
name: MTEB MLSUMClusteringP2P (ru)
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: reciTAL/mlsum
metrics: type: main_score
value: 41.92518785753813
verified: no, type: v_measure
value: 41.92518785753813
verified: no, type: v_measure_std
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verified: no
task: type: Clustering, dataset: config: es
name: MTEB MLSUMClusteringP2P (es)
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: reciTAL/mlsum
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verified: no, type: v_measure
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verified: no, type: v_measure_std
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verified: no
task: type: Clustering, dataset: config: de
name: MTEB MLSUMClusteringS2S (de)
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: reciTAL/mlsum
metrics: type: main_score
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verified: no, type: v_measure
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verified: no, type: v_measure_std
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verified: no
task: type: Clustering, dataset: config: fr
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revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: reciTAL/mlsum
metrics: type: main_score
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verified: no, type: v_measure
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verified: no, type: v_measure_std
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verified: no
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name: MTEB MLSUMClusteringS2S (ru)
revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
type: reciTAL/mlsum
metrics: type: main_score
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verified: no, type: v_measure
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verified: no, type: v_measure_std
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revision: b5d54f8f3b61ae17845046286940f03c6bc79bc7
split: test
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metrics: type: main_score
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verified: no, type: v_measure
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verified: no, type: v_measure_std
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verified: no
task: type: Clustering, dataset: config: default
name: MTEB MMarcoReranking (default)
revision: 8e0c766dbe9e16e1d221116a3f36795fbade07f6
split: dev
type: C-MTEB/Mmarco-reranking
metrics: type: map
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verified: no, type: mrr
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verified: no, type: main_score
value: 21.050447576170395
verified: no
task: type: Reranking, dataset: config: default
name: MTEB MMarcoRetrieval (default)
revision: 539bbde593d947e2a124ba72651aafc09eb33fc2
split: dev
type: C-MTEB/MMarcoRetrieval
metrics: type: main_score
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verified: no, type: map_at_10
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verified: no, type: map_at_100
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verified: no, type: map_at_1000
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verified: no, type: map_at_5
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verified: no, type: ndcg_at_1
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verified: no, type: ndcg_at_10
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verified: no, type: ndcg_at_100
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verified: no, type: ndcg_at_1000
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verified: no, type: ndcg_at_20
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verified: no, type: ndcg_at_3
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verified: no, type: ndcg_at_5
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verified: no, type: precision_at_1
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verified: no, type: precision_at_10
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verified: no, type: precision_at_100
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verified: no, type: precision_at_1000
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verified: no, type: precision_at_20
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verified: no, type: precision_at_3
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verified: no, type: precision_at_5
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verified: no, type: recall_at_1
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verified: no, type: recall_at_10
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verified: no, type: recall_at_100
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verified: no, type: recall_at_1000
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verified: no, type: recall_at_20
value: 93.21199999999999
verified: no, type: recall_at_3
value: 80.84599999999999
verified: no, type: recall_at_5
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verified: no
task: type: Retrieval, dataset: config: default
name: MTEB MSMARCO (default)
revision: c5a29a104738b98a9e76336939199e264163d4a0
split: dev
type: mteb/msmarco
metrics: type: map_at_1
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verified: no, type: map_at_10
value: 34.008
verified: no, type: map_at_100
value: 35.174
verified: no, type: map_at_1000
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verified: no, type: map_at_20
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verified: no, type: map_at_3
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verified: no, type: map_at_5
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verified: no, type: mrr_at_1
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verified: no, type: mrr_at_10
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verified: no, type: mrr_at_100
value: 35.691
verified: no, type: mrr_at_1000
value: 35.736000000000004
verified: no, type: mrr_at_20
value: 35.257
verified: no, type: mrr_at_3
value: 30.85
verified: no, type: mrr_at_5
value: 32.962
verified: no, type: ndcg_at_1
value: 22.493
verified: no, type: ndcg_at_10
value: 40.815
verified: no, type: ndcg_at_100
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verified: no, type: ndcg_at_1000
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verified: no, type: ndcg_at_20
value: 43.302
verified: no, type: ndcg_at_3
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verified: no, type: ndcg_at_5
value: 36.879
verified: no, type: precision_at_1
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verified: no, type: precision_at_10
value: 6.465999999999999
verified: no, type: precision_at_100
value: 0.932
verified: no, type: precision_at_1000
value: 0.104
verified: no, type: precision_at_20
value: 3.752
verified: no, type: precision_at_3
value: 14.069
verified: no, type: precision_at_5
value: 10.384
verified: no, type: recall_at_1
value: 21.861
verified: no, type: recall_at_10
value: 61.781
verified: no, type: recall_at_100
value: 88.095
verified: no, type: recall_at_1000
value: 97.625
verified: no, type: recall_at_20
value: 71.44500000000001
verified: no, type: recall_at_3
value: 40.653
verified: no, type: recall_at_5
value: 49.841
verified: no, type: main_score
value: 40.815
verified: no
task: type: Retrieval, dataset: config: en
name: MTEB MTOPDomainClassification (en)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
value: 97.4874601003192
verified: no, type: f1
value: 97.19067544931094
verified: no, type: f1_weighted
value: 97.49331776181019
verified: no, type: main_score
value: 97.4874601003192
verified: no
task: type: Classification, dataset: config: de
name: MTEB MTOPDomainClassification (de)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
value: 96.89489997182305
verified: no, type: f1
value: 96.51138586512977
verified: no, type: f1_weighted
value: 96.89723065967186
verified: no, type: main_score
value: 96.89489997182305
verified: no
task: type: Classification, dataset: config: es
name: MTEB MTOPDomainClassification (es)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
value: 97.17144763175452
verified: no, type: f1
value: 96.81785681878274
verified: no, type: f1_weighted
value: 97.1778974586874
verified: no, type: main_score
value: 97.17144763175452
verified: no
task: type: Classification, dataset: config: fr
name: MTEB MTOPDomainClassification (fr)
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf
split: test
type: mteb/mtop_domain
metrics: type: accuracy
value: 96.30128405887879
verified: no, type: f1
value: 95.94555923088487
verified: no, type: f1_weighted
value: 96.30399416794926
verified: no, type: main_score
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verified: no
task: type: Classification, dataset: config: en
name: MTEB MTOPIntentClassification (en)
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
split: test
type: mteb/mtop_intent
metrics: type: accuracy
value: 84.53488372093022
verified: no, type: f1
value: 61.77995074251401
verified: no, type: f1_weighted
value: 86.8005170485101
verified: no, type: main_score
value: 84.53488372093022
verified: no
task: type: Classification, dataset: config: de
name: MTEB MTOPIntentClassification (de)
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
split: test
type: mteb/mtop_intent
metrics: type: accuracy
value: 80.79459002535924
verified: no, type: f1
value: 56.08938302001448
verified: no, type: f1_weighted
value: 83.66582131948252
verified: no, type: main_score
value: 80.79459002535924
verified: no
task: type: Classification, dataset: config: es
name: MTEB MTOPIntentClassification (es)
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
split: test
type: mteb/mtop_intent
metrics: type: accuracy
value: 84.7765176784523
verified: no, type: f1
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verified: no, type: f1_weighted
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verified: no, type: main_score
value: 84.7765176784523
verified: no
task: type: Classification, dataset: config: fr
name: MTEB MTOPIntentClassification (fr)
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba
split: test
type: mteb/mtop_intent
metrics: type: accuracy
value: 82.2079549013467
verified: no, type: f1
value: 59.90260478749016
verified: no, type: f1_weighted
value: 84.36861708593257
verified: no, type: main_score
value: 82.2079549013467
verified: no
task: type: Classification, dataset: config: eng
name: MTEB MasakhaNEWSClassification (eng)
revision: 18193f187b92da67168c655c9973a165ed9593dd
split: test
type: mteb/masakhanews
metrics: type: accuracy
value: 74.98945147679325
verified: no, type: f1
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verified: no, type: f1_weighted
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verified: no, type: main_score
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verified: no
task: type: Classification, dataset: config: fra
name: MTEB MasakhaNEWSClassification (fra)
revision: 18193f187b92da67168c655c9973a165ed9593dd
split: test
type: mteb/masakhanews
metrics: type: accuracy
value: 74.02843601895735
verified: no, type: f1
value: 70.40326349620732
verified: no, type: f1_weighted
value: 74.6596277063484
verified: no, type: main_score
value: 74.02843601895735
verified: no
task: type: Classification, dataset: config: amh
name: MTEB MasakhaNEWSClusteringP2P (amh)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 69.45780291725053
verified: no, type: v_measure
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verified: no, type: v_measure_std
value: 36.54340055904091
verified: no
task: type: Clustering, dataset: config: eng
name: MTEB MasakhaNEWSClusteringP2P (eng)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 64.88996119332239
verified: no, type: v_measure
value: 64.88996119332239
verified: no, type: v_measure_std
value: 30.017223408197268
verified: no
task: type: Clustering, dataset: config: fra
name: MTEB MasakhaNEWSClusteringP2P (fra)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 42.362383958691666
verified: no, type: v_measure
value: 42.362383958691666
verified: no, type: v_measure_std
value: 37.61076788039063
verified: no
task: type: Clustering, dataset: config: hau
name: MTEB MasakhaNEWSClusteringP2P (hau)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 43.29201252405562
verified: no, type: v_measure
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verified: no, type: v_measure_std
value: 34.31987945146255
verified: no
task: type: Clustering, dataset: config: ibo
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revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 33.59926542995238
verified: no, type: v_measure
value: 33.59926542995238
verified: no, type: v_measure_std
value: 35.70048601084112
verified: no
task: type: Clustering, dataset: config: lin
name: MTEB MasakhaNEWSClusteringP2P (lin)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 67.58487601893106
verified: no, type: v_measure
value: 67.58487601893106
verified: no, type: v_measure_std
value: 35.16784970777931
verified: no
task: type: Clustering, dataset: config: lug
name: MTEB MasakhaNEWSClusteringP2P (lug)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 50.01220872023533
verified: no, type: v_measure
value: 50.01220872023533
verified: no, type: v_measure_std
value: 41.87411574676182
verified: no
task: type: Clustering, dataset: config: orm
name: MTEB MasakhaNEWSClusteringP2P (orm)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 29.007847502598317
verified: no, type: v_measure
value: 29.007847502598317
verified: no, type: v_measure_std
value: 38.374997395079994
verified: no
task: type: Clustering, dataset: config: pcm
name: MTEB MasakhaNEWSClusteringP2P (pcm)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 79.13520228554611
verified: no, type: v_measure
value: 79.13520228554611
verified: no, type: v_measure_std
value: 18.501843848275183
verified: no
task: type: Clustering, dataset: config: run
name: MTEB MasakhaNEWSClusteringP2P (run)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 60.317213909746656
verified: no, type: v_measure
value: 60.317213909746656
verified: no, type: v_measure_std
value: 36.500281823747386
verified: no
task: type: Clustering, dataset: config: sna
name: MTEB MasakhaNEWSClusteringP2P (sna)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 59.395277358240946
verified: no, type: v_measure
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verified: no, type: v_measure_std
value: 37.500916816164654
verified: no
task: type: Clustering, dataset: config: som
name: MTEB MasakhaNEWSClusteringP2P (som)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
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verified: no, type: v_measure
value: 38.18638688704302
verified: no, type: v_measure_std
value: 35.453681137564466
verified: no
task: type: Clustering, dataset: config: swa
name: MTEB MasakhaNEWSClusteringP2P (swa)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 29.49230755729658
verified: no, type: v_measure
value: 29.49230755729658
verified: no, type: v_measure_std
value: 28.284313285264645
verified: no
task: type: Clustering, dataset: config: tir
name: MTEB MasakhaNEWSClusteringP2P (tir)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 60.632258622750115
verified: no, type: v_measure
value: 60.632258622750115
verified: no, type: v_measure_std
value: 34.429711214740564
verified: no
task: type: Clustering, dataset: config: xho
name: MTEB MasakhaNEWSClusteringP2P (xho)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 41.76322918806381
verified: no, type: v_measure
value: 41.76322918806381
verified: no, type: v_measure_std
value: 36.43245296200775
verified: no
task: type: Clustering, dataset: config: yor
name: MTEB MasakhaNEWSClusteringP2P (yor)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 33.17083910808645
verified: no, type: v_measure
value: 33.17083910808645
verified: no, type: v_measure_std
value: 34.87547994284835
verified: no
task: type: Clustering, dataset: config: amh
name: MTEB MasakhaNEWSClusteringS2S (amh)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 60.95132147787602
verified: no, type: v_measure
value: 60.95132147787602
verified: no, type: v_measure_std
value: 37.330148394033365
verified: no
task: type: Clustering, dataset: config: eng
name: MTEB MasakhaNEWSClusteringS2S (eng)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 60.974810831426595
verified: no, type: v_measure
value: 60.974810831426595
verified: no, type: v_measure_std
value: 24.934675467507827
verified: no
task: type: Clustering, dataset: config: fra
name: MTEB MasakhaNEWSClusteringS2S (fra)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 44.479206673553335
verified: no, type: v_measure
value: 44.479206673553335
verified: no, type: v_measure_std
value: 32.58254804499339
verified: no
task: type: Clustering, dataset: config: hau
name: MTEB MasakhaNEWSClusteringS2S (hau)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 26.4742082741682
verified: no, type: v_measure
value: 26.4742082741682
verified: no, type: v_measure_std
value: 22.344929192323097
verified: no
task: type: Clustering, dataset: config: ibo
name: MTEB MasakhaNEWSClusteringS2S (ibo)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 38.906129911741985
verified: no, type: v_measure
value: 38.906129911741985
verified: no, type: v_measure_std
value: 34.785601792668444
verified: no
task: type: Clustering, dataset: config: lin
name: MTEB MasakhaNEWSClusteringS2S (lin)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 62.60982020876592
verified: no, type: v_measure
value: 62.60982020876592
verified: no, type: v_measure_std
value: 40.7368955715045
verified: no
task: type: Clustering, dataset: config: lug
name: MTEB MasakhaNEWSClusteringS2S (lug)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 42.70424106365967
verified: no, type: v_measure
value: 42.70424106365967
verified: no, type: v_measure_std
value: 46.80946241135087
verified: no
task: type: Clustering, dataset: config: orm
name: MTEB MasakhaNEWSClusteringS2S (orm)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 28.609942199922322
verified: no, type: v_measure
value: 28.609942199922322
verified: no, type: v_measure_std
value: 38.46685040191088
verified: no
task: type: Clustering, dataset: config: pcm
name: MTEB MasakhaNEWSClusteringS2S (pcm)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 76.83901348810822
verified: no, type: v_measure
value: 76.83901348810822
verified: no, type: v_measure_std
value: 17.57617141269189
verified: no
task: type: Clustering, dataset: config: run
name: MTEB MasakhaNEWSClusteringS2S (run)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 46.89757547846193
verified: no, type: v_measure
value: 46.89757547846193
verified: no, type: v_measure_std
value: 44.58903590203438
verified: no
task: type: Clustering, dataset: config: sna
name: MTEB MasakhaNEWSClusteringS2S (sna)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 55.37185207068829
verified: no, type: v_measure
value: 55.37185207068829
verified: no, type: v_measure_std
value: 36.944574863543004
verified: no
task: type: Clustering, dataset: config: som
name: MTEB MasakhaNEWSClusteringS2S (som)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 37.44211021681754
verified: no, type: v_measure
value: 37.44211021681754
verified: no, type: v_measure_std
value: 33.41469994463241
verified: no
task: type: Clustering, dataset: config: swa
name: MTEB MasakhaNEWSClusteringS2S (swa)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 26.020680621216062
verified: no, type: v_measure
value: 26.020680621216062
verified: no, type: v_measure_std
value: 25.480037522570413
verified: no
task: type: Clustering, dataset: config: tir
name: MTEB MasakhaNEWSClusteringS2S (tir)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 63.74306846771303
verified: no, type: v_measure
value: 63.74306846771303
verified: no, type: v_measure_std
value: 32.19119631078685
verified: no
task: type: Clustering, dataset: config: xho
name: MTEB MasakhaNEWSClusteringS2S (xho)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 24.580890519243777
verified: no, type: v_measure
value: 24.580890519243777
verified: no, type: v_measure_std
value: 37.941836363967106
verified: no
task: type: Clustering, dataset: config: yor
name: MTEB MasakhaNEWSClusteringS2S (yor)
revision: 8ccc72e69e65f40c70e117d8b3c08306bb788b60
split: test
type: masakhane/masakhanews
metrics: type: main_score
value: 43.63458888828314
verified: no, type: v_measure
value: 43.63458888828314
verified: no, type: v_measure_std
value: 31.28169350649098
verified: no
task: type: Clustering, dataset: config: pl
name: MTEB MassiveIntentClassification (pl)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 75.37323470073974
verified: no, type: f1
value: 71.1836877753734
verified: no, type: f1_weighted
value: 75.72073213955457
verified: no, type: main_score
value: 75.37323470073974
verified: no
task: type: Classification, dataset: config: de
name: MTEB MassiveIntentClassification (de)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 74.83523873570948
verified: no, type: f1
value: 70.72375821116886
verified: no, type: f1_weighted
value: 75.20800490010755
verified: no, type: main_score
value: 74.83523873570948
verified: no
task: type: Classification, dataset: config: es
name: MTEB MassiveIntentClassification (es)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 75.31607262945528
verified: no, type: f1
value: 72.06063554897662
verified: no, type: f1_weighted
value: 75.72438161355252
verified: no, type: main_score
value: 75.31607262945528
verified: no
task: type: Classification, dataset: config: ru
name: MTEB MassiveIntentClassification (ru)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 76.7955615332885
verified: no, type: f1
value: 73.08099648499756
verified: no, type: f1_weighted
value: 77.18482068239668
verified: no, type: main_score
value: 76.7955615332885
verified: no
task: type: Classification, dataset: config: en
name: MTEB MassiveIntentClassification (en)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 77.60591795561534
verified: no, type: f1
value: 74.46676705370395
verified: no, type: f1_weighted
value: 77.69888062336614
verified: no, type: main_score
value: 77.60591795561534
verified: no
task: type: Classification, dataset: config: fr
name: MTEB MassiveIntentClassification (fr)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 76.32145258910558
verified: no, type: f1
value: 72.89824154178328
verified: no, type: f1_weighted
value: 76.6539327979472
verified: no, type: main_score
value: 76.32145258910558
verified: no
task: type: Classification, dataset: config: zh-CN
name: MTEB MassiveIntentClassification (zh-CN)
revision: 4672e20407010da34463acc759c162ca9734bca6
split: test
type: mteb/amazon_massive_intent
metrics: type: accuracy
value: 73.21788836583724
verified: no, type: f1
value: 70.45594512246377
verified: no, type: f1_weighted
value: 73.67862536499393
verified: no, type: main_score
value: 73.21788836583724
verified: no
task: type: Classification, dataset: config: zh-CN
name: MTEB MassiveScenarioClassification (zh-CN)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 80.82044384667114
verified: no, type: f1
value: 80.53217664465089
verified: no, type: f1_weighted
value: 80.94535087010512
verified: no, type: main_score
value: 80.82044384667114
verified: no
task: type: Classification, dataset: config: pl
name: MTEB MassiveScenarioClassification (pl)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 82.1049092131809
verified: no, type: f1
value: 81.55343463694733
verified: no, type: f1_weighted
value: 82.33509098770782
verified: no, type: main_score
value: 82.1049092131809
verified: no
task: type: Classification, dataset: config: es
name: MTEB MassiveScenarioClassification (es)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 82.58238063214526
verified: no, type: f1
value: 82.27974449333072
verified: no, type: f1_weighted
value: 82.81337569618209
verified: no, type: main_score
value: 82.58238063214526
verified: no
task: type: Classification, dataset: config: de
name: MTEB MassiveScenarioClassification (de)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 83.97108271687962
verified: no, type: f1
value: 83.56285606936076
verified: no, type: f1_weighted
value: 84.10198745390771
verified: no, type: main_score
value: 83.97108271687962
verified: no
task: type: Classification, dataset: config: en
name: MTEB MassiveScenarioClassification (en)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 84.71082716879623
verified: no, type: f1
value: 84.09447062371402
verified: no, type: f1_weighted
value: 84.73765765551342
verified: no, type: main_score
value: 84.71082716879623
verified: no
task: type: Classification, dataset: config: fr
name: MTEB MassiveScenarioClassification (fr)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
metrics: type: accuracy
value: 83.093476798924
verified: no, type: f1
value: 82.72656900752943
verified: no, type: f1_weighted
value: 83.26606516503364
verified: no, type: main_score
value: 83.093476798924
verified: no
task: type: Classification, dataset: config: ru
name: MTEB MassiveScenarioClassification (ru)
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8
split: test
type: mteb/amazon_massive_scenario
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value: 84.05850706119705
verified: no, type: f1
value: 83.64234048881222
verified: no, type: f1_weighted
value: 84.17315768381876
verified: no, type: main_score
value: 84.05850706119705
verified: no
task: type: Classification, dataset: config: default
name: MTEB MedicalRetrieval (default)
revision: 2039188fb5800a9803ba5048df7b76e6fb151fc6
split: dev
type: C-MTEB/MedicalRetrieval
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verified: no, type: map_at_1
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verified: no, type: map_at_10
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verified: no, type: map_at_100
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verified: no, type: map_at_1000
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verified: no, type: map_at_20
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verified: no, type: map_at_3
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verified: no, type: map_at_5
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verified: no, type: mrr_at_1
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verified: no, type: mrr_at_10
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verified: no, type: mrr_at_100
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verified: no, type: mrr_at_1000
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verified: no, type: mrr_at_20
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verified: no, type: mrr_at_3
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verified: no, type: mrr_at_5
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verified: no, type: nauc_map_at_1000_diff1
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name: MTEB MintakaRetrieval (fr)
revision: efa78cc2f74bbcd21eff2261f9e13aebe40b814e
split: test
type: jinaai/mintakaqa
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verified: no, type: recall_at_1000
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verified: no, type: recall_at_5
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verified: no
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name: MTEB MultilingualSentiment (default)
revision: 46958b007a63fdbf239b7672c25d0bea67b5ea1a
split: test
type: C-MTEB/MultilingualSentiment-classification
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verified: no
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revision: ec0fa4fe99da2ff19ca1214b7966684033a58814
split: test
type: mteb/nfcorpus
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verified: no, type: precision_at_3
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verified: no, type: recall_at_1000
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verified: no, type: recall_at_3
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verified: no, type: recall_at_5
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verified: no, type: main_score
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task: type: Retrieval, dataset: config: default
name: MTEB NQ (default)
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31
split: test
type: mteb/nq
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verified: no, type: mrr_at_1000
value: 60.348
verified: no, type: mrr_at_20
value: 60.167
verified: no, type: mrr_at_3
value: 56.972
verified: no, type: mrr_at_5
value: 58.74
verified: no, type: ndcg_at_1
value: 46.205
verified: no, type: ndcg_at_10
value: 64.23100000000001
verified: no, type: ndcg_at_100
value: 67.242
verified: no, type: ndcg_at_1000
value: 67.72500000000001
verified: no, type: ndcg_at_20
value: 65.77300000000001
verified: no, type: ndcg_at_3
value: 57.516
verified: no, type: ndcg_at_5
value: 61.11600000000001
verified: no, type: precision_at_1
value: 46.205
verified: no, type: precision_at_10
value: 9.873
verified: no, type: precision_at_100
value: 1.158
verified: no, type: precision_at_1000
value: 0.12
verified: no, type: precision_at_20
value: 5.319
verified: no, type: precision_at_3
value: 25.424999999999997
verified: no, type: precision_at_5
value: 17.375
verified: no, type: recall_at_1
value: 41.411
verified: no, type: recall_at_10
value: 82.761
verified: no, type: recall_at_100
value: 95.52199999999999
verified: no, type: recall_at_1000
value: 99.02499999999999
verified: no, type: recall_at_20
value: 88.34
verified: no, type: recall_at_3
value: 65.73
verified: no, type: recall_at_5
value: 73.894
verified: no, type: main_score
value: 64.23100000000001
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB Ocnli (default)
revision: 66e76a618a34d6d565d5538088562851e6daa7ec
split: validation
type: C-MTEB/OCNLI
metrics: type: cosine_accuracy
value: 62.3714131023281
verified: no, type: cosine_accuracy_threshold
value: 79.70921993255615
verified: no, type: cosine_ap
value: 66.41380155495659
verified: no, type: cosine_f1
value: 68.89547185780786
verified: no, type: cosine_f1_threshold
value: 72.91591167449951
verified: no, type: cosine_precision
value: 57.485875706214685
verified: no, type: cosine_recall
value: 85.95564941921859
verified: no, type: dot_accuracy
value: 60.47644829453167
verified: no, type: dot_accuracy_threshold
value: 36627.362060546875
verified: no, type: dot_ap
value: 63.696303449293204
verified: no, type: dot_f1
value: 68.3986041101202
verified: no, type: dot_f1_threshold
value: 30452.72216796875
verified: no, type: dot_precision
value: 54.04411764705882
verified: no, type: dot_recall
value: 93.13621964097149
verified: no, type: euclidean_accuracy
value: 63.02111532214402
verified: no, type: euclidean_accuracy_threshold
value: 1392.76762008667
verified: no, type: euclidean_ap
value: 66.65907089443218
verified: no, type: euclidean_f1
value: 69.05036524413688
verified: no, type: euclidean_f1_threshold
value: 1711.5310668945312
verified: no, type: euclidean_precision
value: 54.29262394195889
verified: no, type: euclidean_recall
value: 94.82576557550159
verified: no, type: main_score
value: 63.02111532214402
verified: no, type: manhattan_accuracy
value: 62.75040606388739
verified: no, type: manhattan_accuracy_threshold
value: 32475.347900390625
verified: no, type: manhattan_ap
value: 66.50943585125434
verified: no, type: manhattan_f1
value: 69.08382066276802
verified: no, type: manhattan_f1_threshold
value: 41238.470458984375
verified: no, type: manhattan_precision
value: 54.75896168108776
verified: no, type: manhattan_recall
value: 93.55860612460401
verified: no, type: max_accuracy
value: 63.02111532214402
verified: no, type: max_ap
value: 66.65907089443218
verified: no, type: max_f1
value: 69.08382066276802
verified: no, type: max_precision
value: 57.485875706214685
verified: no, type: max_recall
value: 94.82576557550159
verified: no, type: similarity_accuracy
value: 62.3714131023281
verified: no, type: similarity_accuracy_threshold
value: 79.70921993255615
verified: no, type: similarity_ap
value: 66.41380155495659
verified: no, type: similarity_f1
value: 68.89547185780786
verified: no, type: similarity_f1_threshold
value: 72.91591167449951
verified: no, type: similarity_precision
value: 57.485875706214685
verified: no, type: similarity_recall
value: 85.95564941921859
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB OnlineShopping (default)
revision: e610f2ebd179a8fda30ae534c3878750a96db120
split: test
type: C-MTEB/OnlineShopping-classification
metrics: type: accuracy
value: 91.88000000000001
verified: no, type: ap
value: 89.52463684448476
verified: no, type: ap_weighted
value: 89.52463684448476
verified: no, type: f1
value: 91.86313022306673
verified: no, type: f1_weighted
value: 91.87806318146912
verified: no, type: main_score
value: 91.88000000000001
verified: no
task: type: Classification, dataset: config: en
name: MTEB OpusparcusPC (en)
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
split: test.full
type: GEM/opusparcus
metrics: type: cosine_accuracy
value: 92.65578635014838
verified: no, type: cosine_accuracy_threshold
value: 74.02530312538147
verified: no, type: cosine_ap
value: 98.3834226153613
verified: no, type: cosine_f1
value: 94.92567913890312
verified: no, type: cosine_f1_threshold
value: 74.02530312538147
verified: no, type: cosine_precision
value: 95.562435500516
verified: no, type: cosine_recall
value: 94.29735234215886
verified: no, type: dot_accuracy
value: 91.54302670623146
verified: no, type: dot_accuracy_threshold
value: 34452.29187011719
verified: no, type: dot_ap
value: 98.1237257754439
verified: no, type: dot_f1
value: 94.22400803616273
verified: no, type: dot_f1_threshold
value: 33670.41931152344
verified: no, type: dot_precision
value: 92.9633300297324
verified: no, type: dot_recall
value: 95.5193482688391
verified: no, type: euclidean_accuracy
value: 92.28486646884274
verified: no, type: euclidean_accuracy_threshold
value: 1602.8022766113281
verified: no, type: euclidean_ap
value: 98.3099021504706
verified: no, type: euclidean_f1
value: 94.75277497477296
verified: no, type: euclidean_f1_threshold
value: 1604.7462463378906
verified: no, type: euclidean_precision
value: 93.89999999999999
verified: no, type: euclidean_recall
value: 95.62118126272912
verified: no, type: main_score
value: 98.3834226153613
verified: no, type: manhattan_accuracy
value: 92.2106824925816
verified: no, type: manhattan_accuracy_threshold
value: 38872.90954589844
verified: no, type: manhattan_ap
value: 98.28694101230218
verified: no, type: manhattan_f1
value: 94.67815509376584
verified: no, type: manhattan_f1_threshold
value: 38872.90954589844
verified: no, type: manhattan_precision
value: 94.24823410696267
verified: no, type: manhattan_recall
value: 95.11201629327903
verified: no, type: max_accuracy
value: 92.65578635014838
verified: no, type: max_ap
value: 98.3834226153613
verified: no, type: max_f1
value: 94.92567913890312
verified: no, type: max_precision
value: 95.562435500516
verified: no, type: max_recall
value: 95.62118126272912
verified: no, type: similarity_accuracy
value: 92.65578635014838
verified: no, type: similarity_accuracy_threshold
value: 74.02530312538147
verified: no, type: similarity_ap
value: 98.3834226153613
verified: no, type: similarity_f1
value: 94.92567913890312
verified: no, type: similarity_f1_threshold
value: 74.02530312538147
verified: no, type: similarity_precision
value: 95.562435500516
verified: no, type: similarity_recall
value: 94.29735234215886
verified: no
task: type: PairClassification, dataset: config: de
name: MTEB OpusparcusPC (de)
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
split: test.full
type: GEM/opusparcus
metrics: type: cosine_accuracy
value: 87.72178850248403
verified: no, type: cosine_accuracy_threshold
value: 73.33863377571106
verified: no, type: cosine_ap
value: 96.98901408834976
verified: no, type: cosine_f1
value: 91.89944134078212
verified: no, type: cosine_f1_threshold
value: 71.45810127258301
verified: no, type: cosine_precision
value: 89.64577656675749
verified: no, type: cosine_recall
value: 94.26934097421203
verified: no, type: dot_accuracy
value: 86.30234208658624
verified: no, type: dot_accuracy_threshold
value: 32027.130126953125
verified: no, type: dot_ap
value: 96.12260574893256
verified: no, type: dot_f1
value: 91.31602506714414
verified: no, type: dot_f1_threshold
value: 30804.376220703125
verified: no, type: dot_precision
value: 85.93091828138164
verified: no, type: dot_recall
value: 97.42120343839542
verified: no, type: euclidean_accuracy
value: 87.9347054648687
verified: no, type: euclidean_accuracy_threshold
value: 1609.6670150756836
verified: no, type: euclidean_ap
value: 97.00238860358252
verified: no, type: euclidean_f1
value: 92.1089063221043
verified: no, type: euclidean_f1_threshold
value: 1641.8487548828125
verified: no, type: euclidean_precision
value: 89.10714285714286
verified: no, type: euclidean_recall
value: 95.31996179560649
verified: no, type: main_score
value: 97.00238860358252
verified: no, type: manhattan_accuracy
value: 87.72178850248403
verified: no, type: manhattan_accuracy_threshold
value: 40137.060546875
verified: no, type: manhattan_ap
value: 96.98653728159941
verified: no, type: manhattan_f1
value: 92.03865623561896
verified: no, type: manhattan_f1_threshold
value: 40137.060546875
verified: no, type: manhattan_precision
value: 88.80994671403198
verified: no, type: manhattan_recall
value: 95.51098376313276
verified: no, type: max_accuracy
value: 87.9347054648687
verified: no, type: max_ap
value: 97.00238860358252
verified: no, type: max_f1
value: 92.1089063221043
verified: no, type: max_precision
value: 89.64577656675749
verified: no, type: max_recall
value: 97.42120343839542
verified: no, type: similarity_accuracy
value: 87.72178850248403
verified: no, type: similarity_accuracy_threshold
value: 73.33863377571106
verified: no, type: similarity_ap
value: 96.98901408834976
verified: no, type: similarity_f1
value: 91.89944134078212
verified: no, type: similarity_f1_threshold
value: 71.45810127258301
verified: no, type: similarity_precision
value: 89.64577656675749
verified: no, type: similarity_recall
value: 94.26934097421203
verified: no
task: type: PairClassification, dataset: config: fr
name: MTEB OpusparcusPC (fr)
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
split: test.full
type: GEM/opusparcus
metrics: type: cosine_accuracy
value: 80.92643051771117
verified: no, type: cosine_accuracy_threshold
value: 76.68856382369995
verified: no, type: cosine_ap
value: 93.74622381534307
verified: no, type: cosine_f1
value: 87.12328767123287
verified: no, type: cosine_f1_threshold
value: 71.64022922515869
verified: no, type: cosine_precision
value: 80.64243448858834
verified: no, type: cosine_recall
value: 94.73684210526315
verified: no, type: dot_accuracy
value: 80.858310626703
verified: no, type: dot_accuracy_threshold
value: 34028.3935546875
verified: no, type: dot_ap
value: 91.18448457633308
verified: no, type: dot_f1
value: 86.82606657290202
verified: no, type: dot_f1_threshold
value: 34028.3935546875
verified: no, type: dot_precision
value: 82.2380106571936
verified: no, type: dot_recall
value: 91.9563058589871
verified: no, type: euclidean_accuracy
value: 80.858310626703
verified: no, type: euclidean_accuracy_threshold
value: 1595.7651138305664
verified: no, type: euclidean_ap
value: 93.8182717829648
verified: no, type: euclidean_f1
value: 87.04044117647058
verified: no, type: euclidean_f1_threshold
value: 1609.2475891113281
verified: no, type: euclidean_precision
value: 81.00940975192472
verified: no, type: euclidean_recall
value: 94.04170804369414
verified: no, type: main_score
value: 93.8182717829648
verified: no, type: manhattan_accuracy
value: 80.99455040871935
verified: no, type: manhattan_accuracy_threshold
value: 38092.132568359375
verified: no, type: manhattan_ap
value: 93.77563401151711
verified: no, type: manhattan_f1
value: 86.91983122362869
verified: no, type: manhattan_f1_threshold
value: 38092.132568359375
verified: no, type: manhattan_precision
value: 82.32682060390763
verified: no, type: manhattan_recall
value: 92.05561072492551
verified: no, type: max_accuracy
value: 80.99455040871935
verified: no, type: max_ap
value: 93.8182717829648
verified: no, type: max_f1
value: 87.12328767123287
verified: no, type: max_precision
value: 82.32682060390763
verified: no, type: max_recall
value: 94.73684210526315
verified: no, type: similarity_accuracy
value: 80.92643051771117
verified: no, type: similarity_accuracy_threshold
value: 76.68856382369995
verified: no, type: similarity_ap
value: 93.74622381534307
verified: no, type: similarity_f1
value: 87.12328767123287
verified: no, type: similarity_f1_threshold
value: 71.64022922515869
verified: no, type: similarity_precision
value: 80.64243448858834
verified: no, type: similarity_recall
value: 94.73684210526315
verified: no
task: type: PairClassification, dataset: config: ru
name: MTEB OpusparcusPC (ru)
revision: 9e9b1f8ef51616073f47f306f7f47dd91663f86a
split: test.full
type: GEM/opusparcus
metrics: type: cosine_accuracy
value: 76.83823529411765
verified: no, type: cosine_accuracy_threshold
value: 72.70769476890564
verified: no, type: cosine_ap
value: 89.56692049908222
verified: no, type: cosine_f1
value: 83.99832003359934
verified: no, type: cosine_f1_threshold
value: 70.9052324295044
verified: no, type: cosine_precision
value: 76.16146230007617
verified: no, type: cosine_recall
value: 93.63295880149812
verified: no, type: dot_accuracy
value: 76.28676470588235
verified: no, type: dot_accuracy_threshold
value: 33740.68908691406
verified: no, type: dot_ap
value: 87.77185177141567
verified: no, type: dot_f1
value: 83.62251375370292
verified: no, type: dot_f1_threshold
value: 32726.611328125
verified: no, type: dot_precision
value: 76.29343629343629
verified: no, type: dot_recall
value: 92.50936329588015
verified: no, type: euclidean_accuracy
value: 77.32843137254902
verified: no, type: euclidean_accuracy_threshold
value: 1566.510009765625
verified: no, type: euclidean_ap
value: 89.60605626791111
verified: no, type: euclidean_f1
value: 84.06546080964686
verified: no, type: euclidean_f1_threshold
value: 1576.4202117919922
verified: no, type: euclidean_precision
value: 77.83094098883574
verified: no, type: euclidean_recall
value: 91.38576779026218
verified: no, type: main_score
value: 89.60605626791111
verified: no, type: manhattan_accuracy
value: 76.89950980392157
verified: no, type: manhattan_accuracy_threshold
value: 38202.215576171875
verified: no, type: manhattan_ap
value: 89.55766894104868
verified: no, type: manhattan_f1
value: 83.80462724935732
verified: no, type: manhattan_f1_threshold
value: 38934.375
verified: no, type: manhattan_precision
value: 77.25118483412322
verified: no, type: manhattan_recall
value: 91.57303370786516
verified: no, type: max_accuracy
value: 77.32843137254902
verified: no, type: max_ap
value: 89.60605626791111
verified: no, type: max_f1
value: 84.06546080964686
verified: no, type: max_precision
value: 77.83094098883574
verified: no, type: max_recall
value: 93.63295880149812
verified: no, type: similarity_accuracy
value: 76.83823529411765
verified: no, type: similarity_accuracy_threshold
value: 72.70769476890564
verified: no, type: similarity_ap
value: 89.56692049908222
verified: no, type: similarity_f1
value: 83.99832003359934
verified: no, type: similarity_f1_threshold
value: 70.9052324295044
verified: no, type: similarity_precision
value: 76.16146230007617
verified: no, type: similarity_recall
value: 93.63295880149812
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB PAC (default)
revision: fc69d1c153a8ccdcf1eef52f4e2a27f88782f543
split: test
type: laugustyniak/abusive-clauses-pl
metrics: type: accuracy
value: 68.39559803069794
verified: no, type: ap
value: 77.68074206719457
verified: no, type: ap_weighted
value: 77.68074206719457
verified: no, type: f1
value: 66.23485605467732
verified: no, type: f1_weighted
value: 69.03201442129347
verified: no, type: main_score
value: 68.39559803069794
verified: no
task: type: Classification, dataset: config: default
name: MTEB PAWSX (default)
revision: 9c6a90e430ac22b5779fb019a23e820b11a8b5e1
split: test
type: C-MTEB/PAWSX
metrics: type: cosine_pearson
value: 13.161523266433587
verified: no, type: cosine_spearman
value: 15.557333873773386
verified: no, type: euclidean_pearson
value: 17.147508431907525
verified: no, type: euclidean_spearman
value: 15.664112857732146
verified: no, type: main_score
value: 15.557333873773386
verified: no, type: manhattan_pearson
value: 17.130875906264386
verified: no, type: manhattan_spearman
value: 15.624397342229637
verified: no, type: pearson
value: 13.161523266433587
verified: no, type: spearman
value: 15.557333873773386
verified: no
task: type: STS, dataset: config: default
name: MTEB PSC (default)
revision: d05a294af9e1d3ff2bfb6b714e08a24a6cabc669
split: test
type: PL-MTEB/psc-pairclassification
metrics: type: cosine_accuracy
value: 97.86641929499072
verified: no, type: cosine_accuracy_threshold
value: 79.0391206741333
verified: no, type: cosine_ap
value: 99.19403807771533
verified: no, type: cosine_f1
value: 96.45608628659475
verified: no, type: cosine_f1_threshold
value: 79.0391206741333
verified: no, type: cosine_precision
value: 97.50778816199377
verified: no, type: cosine_recall
value: 95.42682926829268
verified: no, type: dot_accuracy
value: 98.14471243042672
verified: no, type: dot_accuracy_threshold
value: 29808.1787109375
verified: no, type: dot_ap
value: 99.331999859971
verified: no, type: dot_f1
value: 97.01492537313433
verified: no, type: dot_f1_threshold
value: 29808.1787109375
verified: no, type: dot_precision
value: 95.02923976608187
verified: no, type: dot_recall
value: 99.08536585365853
verified: no, type: euclidean_accuracy
value: 97.49536178107606
verified: no, type: euclidean_accuracy_threshold
value: 1276.227855682373
verified: no, type: euclidean_ap
value: 98.91056467717377
verified: no, type: euclidean_f1
value: 95.83975346687212
verified: no, type: euclidean_f1_threshold
value: 1276.227855682373
verified: no, type: euclidean_precision
value: 96.88473520249221
verified: no, type: euclidean_recall
value: 94.8170731707317
verified: no, type: main_score
value: 99.331999859971
verified: no, type: manhattan_accuracy
value: 97.49536178107606
verified: no, type: manhattan_accuracy_threshold
value: 31097.674560546875
verified: no, type: manhattan_ap
value: 98.95694691792707
verified: no, type: manhattan_f1
value: 95.83975346687212
verified: no, type: manhattan_f1_threshold
value: 31097.674560546875
verified: no, type: manhattan_precision
value: 96.88473520249221
verified: no, type: manhattan_recall
value: 94.8170731707317
verified: no, type: max_accuracy
value: 98.14471243042672
verified: no, type: max_ap
value: 99.331999859971
verified: no, type: max_f1
value: 97.01492537313433
verified: no, type: max_precision
value: 97.50778816199377
verified: no, type: max_recall
value: 99.08536585365853
verified: no, type: similarity_accuracy
value: 97.86641929499072
verified: no, type: similarity_accuracy_threshold
value: 79.0391206741333
verified: no, type: similarity_ap
value: 99.19403807771533
verified: no, type: similarity_f1
value: 96.45608628659475
verified: no, type: similarity_f1_threshold
value: 79.0391206741333
verified: no, type: similarity_precision
value: 97.50778816199377
verified: no, type: similarity_recall
value: 95.42682926829268
verified: no
task: type: PairClassification, dataset: config: en
name: MTEB PawsXPairClassification (en)
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
split: test
type: google-research-datasets/paws-x
metrics: type: cosine_accuracy
value: 61.8
verified: no, type: cosine_accuracy_threshold
value: 99.5664119720459
verified: no, type: cosine_ap
value: 60.679317786040585
verified: no, type: cosine_f1
value: 63.17354143441101
verified: no, type: cosine_f1_threshold
value: 97.22164869308472
verified: no, type: cosine_precision
value: 47.6457399103139
verified: no, type: cosine_recall
value: 93.71554575523705
verified: no, type: dot_accuracy
value: 55.7
verified: no, type: dot_accuracy_threshold
value: 48353.62548828125
verified: no, type: dot_ap
value: 48.53805970536875
verified: no, type: dot_f1
value: 62.42214532871972
verified: no, type: dot_f1_threshold
value: 38215.53955078125
verified: no, type: dot_precision
value: 45.48663640948058
verified: no, type: dot_recall
value: 99.44873208379272
verified: no, type: euclidean_accuracy
value: 61.75000000000001
verified: no, type: euclidean_accuracy_threshold
value: 189.0761137008667
verified: no, type: euclidean_ap
value: 60.55517418691518
verified: no, type: euclidean_f1
value: 63.07977736549165
verified: no, type: euclidean_f1_threshold
value: 504.3168067932129
verified: no, type: euclidean_precision
value: 47.53914988814318
verified: no, type: euclidean_recall
value: 93.71554575523705
verified: no, type: main_score
value: 60.679317786040585
verified: no, type: manhattan_accuracy
value: 61.9
verified: no, type: manhattan_accuracy_threshold
value: 4695.778274536133
verified: no, type: manhattan_ap
value: 60.48686620413608
verified: no, type: manhattan_f1
value: 62.92880855772778
verified: no, type: manhattan_f1_threshold
value: 12542.36831665039
verified: no, type: manhattan_precision
value: 47.28381374722838
verified: no, type: manhattan_recall
value: 94.04630650496141
verified: no, type: max_accuracy
value: 61.9
verified: no, type: max_ap
value: 60.679317786040585
verified: no, type: max_f1
value: 63.17354143441101
verified: no, type: max_precision
value: 47.6457399103139
verified: no, type: max_recall
value: 99.44873208379272
verified: no, type: similarity_accuracy
value: 61.8
verified: no, type: similarity_accuracy_threshold
value: 99.5664119720459
verified: no, type: similarity_ap
value: 60.679317786040585
verified: no, type: similarity_f1
value: 63.17354143441101
verified: no, type: similarity_f1_threshold
value: 97.22164869308472
verified: no, type: similarity_precision
value: 47.6457399103139
verified: no, type: similarity_recall
value: 93.71554575523705
verified: no
task: type: PairClassification, dataset: config: de
name: MTEB PawsXPairClassification (de)
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
split: test
type: google-research-datasets/paws-x
metrics: type: cosine_accuracy
value: 60.25
verified: no, type: cosine_accuracy_threshold
value: 99.54338073730469
verified: no, type: cosine_ap
value: 56.7863613689054
verified: no, type: cosine_f1
value: 62.23499820337766
verified: no, type: cosine_f1_threshold
value: 89.95014429092407
verified: no, type: cosine_precision
value: 45.86864406779661
verified: no, type: cosine_recall
value: 96.75977653631284
verified: no, type: dot_accuracy
value: 56.8
verified: no, type: dot_accuracy_threshold
value: 47349.78332519531
verified: no, type: dot_ap
value: 49.7857806061729
verified: no, type: dot_f1
value: 62.31225986727209
verified: no, type: dot_f1_threshold
value: 30143.206787109375
verified: no, type: dot_precision
value: 45.32520325203252
verified: no, type: dot_recall
value: 99.66480446927373
verified: no, type: euclidean_accuracy
value: 60.3
verified: no, type: euclidean_accuracy_threshold
value: 219.78106498718262
verified: no, type: euclidean_ap
value: 56.731544327179606
verified: no, type: euclidean_f1
value: 62.19895287958115
verified: no, type: euclidean_f1_threshold
value: 1792.1623229980469
verified: no, type: euclidean_precision
value: 45.22842639593909
verified: no, type: euclidean_recall
value: 99.55307262569832
verified: no, type: main_score
value: 56.7863613689054
verified: no, type: manhattan_accuracy
value: 60.150000000000006
verified: no, type: manhattan_accuracy_threshold
value: 5104.503631591797
verified: no, type: manhattan_ap
value: 56.70304479768734
verified: no, type: manhattan_f1
value: 62.22067039106145
verified: no, type: manhattan_f1_threshold
value: 42839.471435546875
verified: no, type: manhattan_precision
value: 45.2513966480447
verified: no, type: manhattan_recall
value: 99.55307262569832
verified: no, type: max_accuracy
value: 60.3
verified: no, type: max_ap
value: 56.7863613689054
verified: no, type: max_f1
value: 62.31225986727209
verified: no, type: max_precision
value: 45.86864406779661
verified: no, type: max_recall
value: 99.66480446927373
verified: no, type: similarity_accuracy
value: 60.25
verified: no, type: similarity_accuracy_threshold
value: 99.54338073730469
verified: no, type: similarity_ap
value: 56.7863613689054
verified: no, type: similarity_f1
value: 62.23499820337766
verified: no, type: similarity_f1_threshold
value: 89.95014429092407
verified: no, type: similarity_precision
value: 45.86864406779661
verified: no, type: similarity_recall
value: 96.75977653631284
verified: no
task: type: PairClassification, dataset: config: es
name: MTEB PawsXPairClassification (es)
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
split: test
type: google-research-datasets/paws-x
metrics: type: cosine_accuracy
value: 59.699999999999996
verified: no, type: cosine_accuracy_threshold
value: 99.55930709838867
verified: no, type: cosine_ap
value: 57.31662248806265
verified: no, type: cosine_f1
value: 62.444061962134256
verified: no, type: cosine_f1_threshold
value: 74.75898265838623
verified: no, type: cosine_precision
value: 45.3953953953954
verified: no, type: cosine_recall
value: 100
verified: no, type: dot_accuracy
value: 55.900000000000006
verified: no, type: dot_accuracy_threshold
value: 47512.90283203125
verified: no, type: dot_ap
value: 49.39339147787568
verified: no, type: dot_f1
value: 62.487082328625554
verified: no, type: dot_f1_threshold
value: 34989.03503417969
verified: no, type: dot_precision
value: 45.44088176352705
verified: no, type: dot_recall
value: 100
verified: no, type: euclidean_accuracy
value: 59.599999999999994
verified: no, type: euclidean_accuracy_threshold
value: 200.82547664642334
verified: no, type: euclidean_ap
value: 57.19737488445163
verified: no, type: euclidean_f1
value: 62.444061962134256
verified: no, type: euclidean_f1_threshold
value: 1538.8837814331055
verified: no, type: euclidean_precision
value: 45.3953953953954
verified: no, type: euclidean_recall
value: 100
verified: no, type: main_score
value: 57.31662248806265
verified: no, type: manhattan_accuracy
value: 59.550000000000004
verified: no, type: manhattan_accuracy_threshold
value: 5016.501617431641
verified: no, type: manhattan_ap
value: 57.089959907945065
verified: no, type: manhattan_f1
value: 62.444061962134256
verified: no, type: manhattan_f1_threshold
value: 37523.53515625
verified: no, type: manhattan_precision
value: 45.3953953953954
verified: no, type: manhattan_recall
value: 100
verified: no, type: max_accuracy
value: 59.699999999999996
verified: no, type: max_ap
value: 57.31662248806265
verified: no, type: max_f1
value: 62.487082328625554
verified: no, type: max_precision
value: 45.44088176352705
verified: no, type: max_recall
value: 100
verified: no, type: similarity_accuracy
value: 59.699999999999996
verified: no, type: similarity_accuracy_threshold
value: 99.55930709838867
verified: no, type: similarity_ap
value: 57.31662248806265
verified: no, type: similarity_f1
value: 62.444061962134256
verified: no, type: similarity_f1_threshold
value: 74.75898265838623
verified: no, type: similarity_precision
value: 45.3953953953954
verified: no, type: similarity_recall
value: 100
verified: no
task: type: PairClassification, dataset: config: fr
name: MTEB PawsXPairClassification (fr)
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
split: test
type: google-research-datasets/paws-x
metrics: type: cosine_accuracy
value: 61.150000000000006
verified: no, type: cosine_accuracy_threshold
value: 99.36153888702393
verified: no, type: cosine_ap
value: 59.43845317938599
verified: no, type: cosine_f1
value: 62.51298026998961
verified: no, type: cosine_f1_threshold
value: 76.77866220474243
verified: no, type: cosine_precision
value: 45.468277945619334
verified: no, type: cosine_recall
value: 100
verified: no, type: dot_accuracy
value: 55.75
verified: no, type: dot_accuracy_threshold
value: 48931.55212402344
verified: no, type: dot_ap
value: 50.15949290538757
verified: no, type: dot_f1
value: 62.53462603878117
verified: no, type: dot_f1_threshold
value: 34415.7958984375
verified: no, type: dot_precision
value: 45.4911838790932
verified: no, type: dot_recall
value: 100
verified: no, type: euclidean_accuracy
value: 61.050000000000004
verified: no, type: euclidean_accuracy_threshold
value: 240.8097267150879
verified: no, type: euclidean_ap
value: 59.367971294226216
verified: no, type: euclidean_f1
value: 62.51298026998961
verified: no, type: euclidean_f1_threshold
value: 1444.132423400879
verified: no, type: euclidean_precision
value: 45.468277945619334
verified: no, type: euclidean_recall
value: 100
verified: no, type: main_score
value: 59.43845317938599
verified: no, type: manhattan_accuracy
value: 60.95
verified: no, type: manhattan_accuracy_threshold
value: 5701.206207275391
verified: no, type: manhattan_ap
value: 59.30094096378774
verified: no, type: manhattan_f1
value: 62.53462603878117
verified: no, type: manhattan_f1_threshold
value: 33445.672607421875
verified: no, type: manhattan_precision
value: 45.4911838790932
verified: no, type: manhattan_recall
value: 100
verified: no, type: max_accuracy
value: 61.150000000000006
verified: no, type: max_ap
value: 59.43845317938599
verified: no, type: max_f1
value: 62.53462603878117
verified: no, type: max_precision
value: 45.4911838790932
verified: no, type: max_recall
value: 100
verified: no, type: similarity_accuracy
value: 61.150000000000006
verified: no, type: similarity_accuracy_threshold
value: 99.36153888702393
verified: no, type: similarity_ap
value: 59.43845317938599
verified: no, type: similarity_f1
value: 62.51298026998961
verified: no, type: similarity_f1_threshold
value: 76.77866220474243
verified: no, type: similarity_precision
value: 45.468277945619334
verified: no, type: similarity_recall
value: 100
verified: no
task: type: PairClassification, dataset: config: zh
name: MTEB PawsXPairClassification (zh)
revision: 8a04d940a42cd40658986fdd8e3da561533a3646
split: test
type: google-research-datasets/paws-x
metrics: type: cosine_accuracy
value: 58.85
verified: no, type: cosine_accuracy_threshold
value: 99.73838329315186
verified: no, type: cosine_ap
value: 54.66913160570546
verified: no, type: cosine_f1
value: 62.32136632973162
verified: no, type: cosine_f1_threshold
value: 76.4499306678772
verified: no, type: cosine_precision
value: 45.265822784810126
verified: no, type: cosine_recall
value: 100
verified: no, type: dot_accuracy
value: 56.25
verified: no, type: dot_accuracy_threshold
value: 47351.9287109375
verified: no, type: dot_ap
value: 48.5266232989438
verified: no, type: dot_f1
value: 62.277951933124356
verified: no, type: dot_f1_threshold
value: 31325.28076171875
verified: no, type: dot_precision
value: 45.220030349013655
verified: no, type: dot_recall
value: 100
verified: no, type: euclidean_accuracy
value: 58.9
verified: no, type: euclidean_accuracy_threshold
value: 144.24468278884888
verified: no, type: euclidean_ap
value: 54.66981490353506
verified: no, type: euclidean_f1
value: 62.32136632973162
verified: no, type: euclidean_f1_threshold
value: 1484.908676147461
verified: no, type: euclidean_precision
value: 45.265822784810126
verified: no, type: euclidean_recall
value: 100
verified: no, type: main_score
value: 54.66981490353506
verified: no, type: manhattan_accuracy
value: 58.9
verified: no, type: manhattan_accuracy_threshold
value: 3586.785125732422
verified: no, type: manhattan_ap
value: 54.668355260247736
verified: no, type: manhattan_f1
value: 62.32136632973162
verified: no, type: manhattan_f1_threshold
value: 36031.22863769531
verified: no, type: manhattan_precision
value: 45.265822784810126
verified: no, type: manhattan_recall
value: 100
verified: no, type: max_accuracy
value: 58.9
verified: no, type: max_ap
value: 54.66981490353506
verified: no, type: max_f1
value: 62.32136632973162
verified: no, type: max_precision
value: 45.265822784810126
verified: no, type: max_recall
value: 100
verified: no, type: similarity_accuracy
value: 58.85
verified: no, type: similarity_accuracy_threshold
value: 99.73838329315186
verified: no, type: similarity_ap
value: 54.66913160570546
verified: no, type: similarity_f1
value: 62.32136632973162
verified: no, type: similarity_f1_threshold
value: 76.4499306678772
verified: no, type: similarity_precision
value: 45.265822784810126
verified: no, type: similarity_recall
value: 100
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB PolEmo2.0-IN (default)
revision: d90724373c70959f17d2331ad51fb60c71176b03
split: test
type: PL-MTEB/polemo2_in
metrics: type: accuracy
value: 83.75346260387812
verified: no, type: f1
value: 81.98304891214909
verified: no, type: f1_weighted
value: 84.29623200830078
verified: no, type: main_score
value: 83.75346260387812
verified: no
task: type: Classification, dataset: config: default
name: MTEB PolEmo2.0-OUT (default)
revision: 6a21ab8716e255ab1867265f8b396105e8aa63d4
split: test
type: PL-MTEB/polemo2_out
metrics: type: accuracy
value: 66.53846153846153
verified: no, type: f1
value: 52.71826064368638
verified: no, type: f1_weighted
value: 69.10010124630334
verified: no, type: main_score
value: 66.53846153846153
verified: no
task: type: Classification, dataset: config: default
name: MTEB PPC
revision: None
split: test
type: PL-MTEB/ppc-pairclassification
metrics: type: cosine_accuracy
value: 81.8
verified: no, type: cosine_accuracy_threshold
value: 90.47793745994568
verified: no, type: cosine_ap
value: 91.42490266080884
verified: no, type: cosine_f1
value: 85.4632587859425
verified: no, type: cosine_f1_threshold
value: 90.47793745994568
verified: no, type: cosine_precision
value: 82.56172839506173
verified: no, type: cosine_recall
value: 88.57615894039735
verified: no, type: dot_accuracy
value: 74.6
verified: no, type: dot_accuracy_threshold
value: 42102.23693847656
verified: no, type: dot_ap
value: 86.20060009096979
verified: no, type: dot_f1
value: 80.02842928216063
verified: no, type: dot_f1_threshold
value: 38970.16906738281
verified: no, type: dot_precision
value: 70.1120797011208
verified: no, type: dot_recall
value: 93.21192052980133
verified: no, type: euclidean_accuracy
value: 81.5
verified: no, type: euclidean_accuracy_threshold
value: 880.433464050293
verified: no, type: euclidean_ap
value: 91.33143477982087
verified: no, type: euclidean_f1
value: 85.44600938967135
verified: no, type: euclidean_f1_threshold
value: 964.0384674072266
verified: no, type: euclidean_precision
value: 81.00890207715133
verified: no, type: euclidean_recall
value: 90.39735099337747
verified: no, type: main_score
value: 91.42490266080884
verified: no, type: manhattan_accuracy
value: 81.3
verified: no, type: manhattan_accuracy_threshold
value: 22100.830078125
verified: no, type: manhattan_ap
value: 91.25996158651282
verified: no, type: manhattan_f1
value: 85.38102643856921
verified: no, type: manhattan_f1_threshold
value: 24043.515014648438
verified: no, type: manhattan_precision
value: 80.49853372434018
verified: no, type: manhattan_recall
value: 90.89403973509934
verified: no, type: max_accuracy
value: 81.8
verified: no, type: max_ap
value: 91.42490266080884
verified: no, type: max_f1
value: 85.4632587859425
verified: no, type: max_precision
value: 82.56172839506173
verified: no, type: max_recall
value: 93.21192052980133
verified: no, type: similarity_accuracy
value: 81.8
verified: no, type: similarity_accuracy_threshold
value: 90.47793745994568
verified: no, type: similarity_ap
value: 91.42490266080884
verified: no, type: similarity_f1
value: 85.4632587859425
verified: no, type: similarity_f1_threshold
value: 90.47793745994568
verified: no, type: similarity_precision
value: 82.56172839506173
verified: no, type: similarity_recall
value: 88.57615894039735
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB QuoraRetrieval (default)
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259
split: test
type: mteb/quora
metrics: type: map_at_1
value: 71.419
verified: no, type: map_at_10
value: 85.542
verified: no, type: map_at_100
value: 86.161
verified: no, type: map_at_1000
value: 86.175
verified: no, type: map_at_20
value: 85.949
verified: no, type: map_at_3
value: 82.623
verified: no, type: map_at_5
value: 84.5
verified: no, type: mrr_at_1
value: 82.27
verified: no, type: mrr_at_10
value: 88.21900000000001
verified: no, type: mrr_at_100
value: 88.313
verified: no, type: mrr_at_1000
value: 88.31400000000001
verified: no, type: mrr_at_20
value: 88.286
verified: no, type: mrr_at_3
value: 87.325
verified: no, type: mrr_at_5
value: 87.97500000000001
verified: no, type: ndcg_at_1
value: 82.3
verified: no, type: ndcg_at_10
value: 89.088
verified: no, type: ndcg_at_100
value: 90.217
verified: no, type: ndcg_at_1000
value: 90.29700000000001
verified: no, type: ndcg_at_20
value: 89.697
verified: no, type: ndcg_at_3
value: 86.435
verified: no, type: ndcg_at_5
value: 87.966
verified: no, type: precision_at_1
value: 82.3
verified: no, type: precision_at_10
value: 13.527000000000001
verified: no, type: precision_at_100
value: 1.537
verified: no, type: precision_at_1000
value: 0.157
verified: no, type: precision_at_20
value: 7.165000000000001
verified: no, type: precision_at_3
value: 37.92
verified: no, type: precision_at_5
value: 24.914
verified: no, type: recall_at_1
value: 71.419
verified: no, type: recall_at_10
value: 95.831
verified: no, type: recall_at_100
value: 99.64
verified: no, type: recall_at_1000
value: 99.988
verified: no, type: recall_at_20
value: 97.76599999999999
verified: no, type: recall_at_3
value: 88.081
verified: no, type: recall_at_5
value: 92.50500000000001
verified: no, type: main_score
value: 89.088
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB RUParaPhraserSTS (default)
revision: 43265056790b8f7c59e0139acb4be0a8dad2c8f4
split: test
type: merionum/ru_paraphraser
metrics: type: cosine_pearson
value: 67.91177744712421
verified: no, type: cosine_spearman
value: 76.77113726753656
verified: no, type: euclidean_pearson
value: 73.81454206068638
verified: no, type: euclidean_spearman
value: 76.92529493599028
verified: no, type: main_score
value: 76.77113726753656
verified: no, type: manhattan_pearson
value: 73.81690454439168
verified: no, type: manhattan_spearman
value: 76.87333776705002
verified: no, type: pearson
value: 67.91177744712421
verified: no, type: spearman
value: 76.77113726753656
verified: no
task: type: STS, dataset: config: default
name: MTEB RedditClustering (default)
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb
split: test
type: mteb/reddit-clustering
metrics: type: main_score
value: 55.39924225216962
verified: no, type: v_measure
value: 55.39924225216962
verified: no, type: v_measure_std
value: 4.723802279292467
verified: no
task: type: Clustering, dataset: config: default
name: MTEB RedditClusteringP2P (default)
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33
split: test
type: mteb/reddit-clustering-p2p
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task: type: Clustering, dataset: config: default
name: MTEB RiaNewsRetrieval (default)
revision: 82374b0bbacda6114f39ff9c5b925fa1512ca5d7
split: test
type: ai-forever/ria-news-retrieval
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task: type: Retrieval, dataset: config: default
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revision: 2e96b8f098fa4b0950fc58eacadeb31c0d0c7fa2
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type: ai-forever/rubq-reranking
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verified: no, type: nauc_recall_at_10_std
value: 0.6137471711639239
verified: no, type: nauc_recall_at_1_diff1
value: 47.66181128677822
verified: no, type: nauc_recall_at_1_max
value: 21.75204233166764
verified: no, type: nauc_recall_at_1_std
value: -8.06951079061697
verified: no, type: nauc_recall_at_20_diff1
value: 24.130616271355017
verified: no, type: nauc_recall_at_20_max
value: 48.306178640146136
verified: no, type: nauc_recall_at_20_std
value: 9.290819557000022
verified: no, type: nauc_recall_at_3_diff1
value: 29.767415016250226
verified: no, type: nauc_recall_at_3_max
value: 28.54289782140701
verified: no, type: nauc_recall_at_3_std
value: -5.1395675072005576
verified: no, type: nauc_recall_at_5_diff1
value: 25.410613126870174
verified: no, type: nauc_recall_at_5_max
value: 33.24658754857624
verified: no, type: nauc_recall_at_5_std
value: -4.211226036746632
verified: no, type: ndcg_at_1
value: 62.175000000000004
verified: no, type: ndcg_at_10
value: 72.306
verified: no, type: ndcg_at_100
value: 75.074
verified: no, type: ndcg_at_1000
value: 75.581
verified: no, type: ndcg_at_20
value: 73.875
verified: no, type: ndcg_at_3
value: 65.641
verified: no, type: ndcg_at_5
value: 69.48299999999999
verified: no, type: precision_at_1
value: 62.175000000000004
verified: no, type: precision_at_10
value: 13.907
verified: no, type: precision_at_100
value: 1.591
verified: no, type: precision_at_1000
value: 0.166
verified: no, type: precision_at_20
value: 7.446999999999999
verified: no, type: precision_at_3
value: 35.619
verified: no, type: precision_at_5
value: 24.917
verified: no, type: recall_at_1
value: 44.187
verified: no, type: recall_at_10
value: 85.10600000000001
verified: no, type: recall_at_100
value: 95.488
verified: no, type: recall_at_1000
value: 98.831
verified: no, type: recall_at_20
value: 90.22200000000001
verified: no, type: recall_at_3
value: 68.789
verified: no, type: recall_at_5
value: 77.85499999999999
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB RuReviewsClassification (default)
revision: f6d2c31f4dc6b88f468552750bfec05b4b41b05a
split: test
type: ai-forever/ru-reviews-classification
metrics: type: accuracy
value: 67.5830078125
verified: no, type: f1
value: 67.56931936632446
verified: no, type: f1_weighted
value: 67.57137733752779
verified: no, type: main_score
value: 67.5830078125
verified: no
task: type: Classification, dataset: config: default
name: MTEB RuSTSBenchmarkSTS (default)
revision: 7cf24f325c6da6195df55bef3d86b5e0616f3018
split: test
type: ai-forever/ru-stsbenchmark-sts
metrics: type: cosine_pearson
value: 85.90493484626788
verified: no, type: cosine_spearman
value: 86.21965691667411
verified: no, type: euclidean_pearson
value: 86.07499842984909
verified: no, type: euclidean_spearman
value: 86.55506818735688
verified: no, type: main_score
value: 86.21965691667411
verified: no, type: manhattan_pearson
value: 85.95976420231729
verified: no, type: manhattan_spearman
value: 86.48604243661234
verified: no, type: pearson
value: 85.90493484626788
verified: no, type: spearman
value: 86.21965691667411
verified: no
task: type: STS, dataset: config: default
name: MTEB RuSciBenchGRNTIClassification (default)
revision: 673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1
split: test
type: ai-forever/ru-scibench-grnti-classification
metrics: type: accuracy
value: 59.1943359375
verified: no, type: f1
value: 58.894480861440414
verified: no, type: f1_weighted
value: 58.903615560240866
verified: no, type: main_score
value: 59.1943359375
verified: no
task: type: Classification, dataset: config: default
name: MTEB RuSciBenchGRNTIClusteringP2P (default)
revision: 673a610d6d3dd91a547a0d57ae1b56f37ebbf6a1
split: test
type: ai-forever/ru-scibench-grnti-classification
metrics: type: main_score
value: 57.99209448663228
verified: no, type: v_measure
value: 57.99209448663228
verified: no, type: v_measure_std
value: 1.0381163861993816
verified: no
task: type: Clustering, dataset: config: default
name: MTEB RuSciBenchOECDClassification (default)
revision: 26c88e99dcaba32bb45d0e1bfc21902337f6d471
split: test
type: ai-forever/ru-scibench-oecd-classification
metrics: type: accuracy
value: 45.556640625
verified: no, type: f1
value: 45.159163104085906
verified: no, type: f1_weighted
value: 45.16098316398626
verified: no, type: main_score
value: 45.556640625
verified: no
task: type: Classification, dataset: config: default
name: MTEB RuSciBenchOECDClusteringP2P (default)
revision: 26c88e99dcaba32bb45d0e1bfc21902337f6d471
split: test
type: ai-forever/ru-scibench-oecd-classification
metrics: type: main_score
value: 50.787548070488974
verified: no, type: v_measure
value: 50.787548070488974
verified: no, type: v_measure_std
value: 0.8569958168946827
verified: no
task: type: Clustering, dataset: config: default
name: MTEB SCIDOCS (default)
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88
split: test
type: mteb/scidocs
metrics: type: map_at_1
value: 4.843
verified: no, type: map_at_10
value: 11.752
verified: no, type: map_at_100
value: 13.919
verified: no, type: map_at_1000
value: 14.198
verified: no, type: map_at_20
value: 12.898000000000001
verified: no, type: map_at_3
value: 8.603
verified: no, type: map_at_5
value: 10.069
verified: no, type: mrr_at_1
value: 23.799999999999997
verified: no, type: mrr_at_10
value: 34.449999999999996
verified: no, type: mrr_at_100
value: 35.64
verified: no, type: mrr_at_1000
value: 35.691
verified: no, type: mrr_at_20
value: 35.213
verified: no, type: mrr_at_3
value: 31.383
verified: no, type: mrr_at_5
value: 33.062999999999995
verified: no, type: ndcg_at_1
value: 23.799999999999997
verified: no, type: ndcg_at_10
value: 19.811
verified: no, type: ndcg_at_100
value: 28.108
verified: no, type: ndcg_at_1000
value: 33.1
verified: no, type: ndcg_at_20
value: 22.980999999999998
verified: no, type: ndcg_at_3
value: 19.153000000000002
verified: no, type: ndcg_at_5
value: 16.408
verified: no, type: precision_at_1
value: 23.799999999999997
verified: no, type: precision_at_10
value: 10.16
verified: no, type: precision_at_100
value: 2.1999999999999997
verified: no, type: precision_at_1000
value: 0.34099999999999997
verified: no, type: precision_at_20
value: 6.915
verified: no, type: precision_at_3
value: 17.8
verified: no, type: precision_at_5
value: 14.14
verified: no, type: recall_at_1
value: 4.843
verified: no, type: recall_at_10
value: 20.595
verified: no, type: recall_at_100
value: 44.66
verified: no, type: recall_at_1000
value: 69.152
verified: no, type: recall_at_20
value: 28.04
verified: no, type: recall_at_3
value: 10.833
verified: no, type: recall_at_5
value: 14.346999999999998
verified: no, type: main_score
value: 19.811
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SICK-E-PL (default)
revision: 71bba34b0ece6c56dfcf46d9758a27f7a90f17e9
split: test
type: PL-MTEB/sicke-pl-pairclassification
metrics: type: cosine_accuracy
value: 80.90093762739502
verified: no, type: cosine_accuracy_threshold
value: 94.40930485725403
verified: no, type: cosine_ap
value: 71.15400909912427
verified: no, type: cosine_f1
value: 66.8213457076566
verified: no, type: cosine_f1_threshold
value: 91.53673648834229
verified: no, type: cosine_precision
value: 62.4922504649721
verified: no, type: cosine_recall
value: 71.7948717948718
verified: no, type: dot_accuracy
value: 78.41418671015083
verified: no, type: dot_accuracy_threshold
value: 42924.45068359375
verified: no, type: dot_ap
value: 63.34003025365763
verified: no, type: dot_f1
value: 62.518258837277244
verified: no, type: dot_f1_threshold
value: 40900.738525390625
verified: no, type: dot_precision
value: 52.99653293709758
verified: no, type: dot_recall
value: 76.21082621082621
verified: no, type: euclidean_accuracy
value: 80.67672238075826
verified: no, type: euclidean_accuracy_threshold
value: 696.0524559020996
verified: no, type: euclidean_ap
value: 70.88762835990224
verified: no, type: euclidean_f1
value: 66.711051930759
verified: no, type: euclidean_f1_threshold
value: 878.5581588745117
verified: no, type: euclidean_precision
value: 62.625
verified: no, type: euclidean_recall
value: 71.36752136752136
verified: no, type: main_score
value: 71.15400909912427
verified: no, type: manhattan_accuracy
value: 80.65633917651854
verified: no, type: manhattan_accuracy_threshold
value: 17277.72674560547
verified: no, type: manhattan_ap
value: 70.67105336611716
verified: no, type: manhattan_f1
value: 66.51346027577151
verified: no, type: manhattan_f1_threshold
value: 21687.957763671875
verified: no, type: manhattan_precision
value: 61.69305724725944
verified: no, type: manhattan_recall
value: 72.15099715099716
verified: no, type: max_accuracy
value: 80.90093762739502
verified: no, type: max_ap
value: 71.15400909912427
verified: no, type: max_f1
value: 66.8213457076566
verified: no, type: max_precision
value: 62.625
verified: no, type: max_recall
value: 76.21082621082621
verified: no, type: similarity_accuracy
value: 80.90093762739502
verified: no, type: similarity_accuracy_threshold
value: 94.40930485725403
verified: no, type: similarity_ap
value: 71.15400909912427
verified: no, type: similarity_f1
value: 66.8213457076566
verified: no, type: similarity_f1_threshold
value: 91.53673648834229
verified: no, type: similarity_precision
value: 62.4922504649721
verified: no, type: similarity_recall
value: 71.7948717948718
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB SICK-R (default)
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d
split: test
type: mteb/sickr-sts
metrics: type: cosine_pearson
value: 92.3339946866199
verified: no, type: cosine_spearman
value: 89.61697355115497
verified: no, type: euclidean_pearson
value: 90.3264916449669
verified: no, type: euclidean_spearman
value: 89.36270451308866
verified: no, type: main_score
value: 89.61697355115497
verified: no, type: manhattan_pearson
value: 90.18909339052534
verified: no, type: manhattan_spearman
value: 89.28337093097377
verified: no, type: pearson
value: 92.3339946866199
verified: no, type: spearman
value: 89.61697355115497
verified: no
task: type: STS, dataset: config: default
name: MTEB SICK-R-PL (default)
revision: fd5c2441b7eeff8676768036142af4cfa42c1339
split: test
type: PL-MTEB/sickr-pl-sts
metrics: type: cosine_pearson
value: 85.27883048457821
verified: no, type: cosine_spearman
value: 80.53204892678619
verified: no, type: euclidean_pearson
value: 82.78520705216168
verified: no, type: euclidean_spearman
value: 80.27848359873212
verified: no, type: main_score
value: 80.53204892678619
verified: no, type: manhattan_pearson
value: 82.63270640583454
verified: no, type: manhattan_spearman
value: 80.21507977473146
verified: no, type: pearson
value: 85.27883048457821
verified: no, type: spearman
value: 80.53204892678619
verified: no
task: type: STS, dataset: config: default
name: MTEB SICKFr (default)
revision: e077ab4cf4774a1e36d86d593b150422fafd8e8a
split: test
type: Lajavaness/SICK-fr
metrics: type: cosine_pearson
value: 88.77029361817212
verified: no, type: cosine_spearman
value: 83.9453600346894
verified: no, type: euclidean_pearson
value: 85.85331086208573
verified: no, type: euclidean_spearman
value: 83.70852031985308
verified: no, type: main_score
value: 83.9453600346894
verified: no, type: manhattan_pearson
value: 85.66222265885914
verified: no, type: manhattan_spearman
value: 83.60833111525962
verified: no, type: pearson
value: 88.77029361817212
verified: no, type: spearman
value: 83.9453600346894
verified: no
task: type: STS, dataset: config: default
name: MTEB STS12 (default)
revision: a0d554a64d88156834ff5ae9920b964011b16384
split: test
type: mteb/sts12-sts
metrics: type: cosine_pearson
value: 88.76435859522375
verified: no, type: cosine_spearman
value: 82.43768167804375
verified: no, type: euclidean_pearson
value: 87.43566183874832
verified: no, type: euclidean_spearman
value: 82.82166873757507
verified: no, type: main_score
value: 82.43768167804375
verified: no, type: manhattan_pearson
value: 87.39450871380951
verified: no, type: manhattan_spearman
value: 82.89253043430163
verified: no, type: pearson
value: 88.76435859522375
verified: no, type: spearman
value: 82.43768167804375
verified: no
task: type: STS, dataset: config: default
name: MTEB STS13 (default)
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca
split: test
type: mteb/sts13-sts
metrics: type: cosine_pearson
value: 88.86627241652141
verified: no, type: cosine_spearman
value: 89.49011599120688
verified: no, type: euclidean_pearson
value: 89.3314120073772
verified: no, type: euclidean_spearman
value: 89.8226502776963
verified: no, type: main_score
value: 89.49011599120688
verified: no, type: manhattan_pearson
value: 89.2252179076963
verified: no, type: manhattan_spearman
value: 89.74573844021225
verified: no, type: pearson
value: 88.86627241652141
verified: no, type: spearman
value: 89.49011599120688
verified: no
task: type: STS, dataset: config: default
name: MTEB STS14 (default)
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375
split: test
type: mteb/sts14-sts
metrics: type: cosine_pearson
value: 87.22891405215968
verified: no, type: cosine_spearman
value: 84.9467188157614
verified: no, type: euclidean_pearson
value: 87.20330004726237
verified: no, type: euclidean_spearman
value: 85.34806059461808
verified: no, type: main_score
value: 84.9467188157614
verified: no, type: manhattan_pearson
value: 87.15224666107623
verified: no, type: manhattan_spearman
value: 85.34596898699708
verified: no, type: pearson
value: 87.22891405215968
verified: no, type: spearman
value: 84.9467188157614
verified: no
task: type: STS, dataset: config: default
name: MTEB STS15 (default)
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3
split: test
type: mteb/sts15-sts
metrics: type: cosine_pearson
value: 88.14066430111033
verified: no, type: cosine_spearman
value: 89.31337445552545
verified: no, type: euclidean_pearson
value: 89.08039335366983
verified: no, type: euclidean_spearman
value: 89.6658762856415
verified: no, type: main_score
value: 89.31337445552545
verified: no, type: manhattan_pearson
value: 89.08057438154486
verified: no, type: manhattan_spearman
value: 89.68673984203022
verified: no, type: pearson
value: 88.14066430111033
verified: no, type: spearman
value: 89.31337445552545
verified: no
task: type: STS, dataset: config: default
name: MTEB STS16 (default)
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513
split: test
type: mteb/sts16-sts
metrics: type: cosine_pearson
value: 85.14908856657084
verified: no, type: cosine_spearman
value: 86.84648320786727
verified: no, type: euclidean_pearson
value: 86.11454713131947
verified: no, type: euclidean_spearman
value: 86.77738862047961
verified: no, type: main_score
value: 86.84648320786727
verified: no, type: manhattan_pearson
value: 86.07804821916372
verified: no, type: manhattan_spearman
value: 86.78676064310474
verified: no, type: pearson
value: 85.14908856657084
verified: no, type: spearman
value: 86.84648320786727
verified: no
task: type: STS, dataset: config: en-en
name: MTEB STS17 (en-en)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cosine_pearson
value: 89.61633502468356
verified: no, type: cosine_spearman
value: 89.99772663224805
verified: no, type: euclidean_pearson
value: 90.14056501501044
verified: no, type: euclidean_spearman
value: 90.04496896837503
verified: no, type: main_score
value: 89.99772663224805
verified: no, type: manhattan_pearson
value: 90.08964860311801
verified: no, type: manhattan_spearman
value: 90.00091712362196
verified: no, type: pearson
value: 89.61633502468356
verified: no, type: spearman
value: 89.99772663224805
verified: no
task: type: STS, dataset: config: es-en
name: MTEB STS17 (es-en)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cosine_pearson
value: 86.44548026840202
verified: no, type: cosine_spearman
value: 87.26263108768539
verified: no, type: euclidean_pearson
value: 86.42844593583838
verified: no, type: euclidean_spearman
value: 86.89388428664364
verified: no, type: main_score
value: 87.26263108768539
verified: no, type: manhattan_pearson
value: 86.47186940800881
verified: no, type: manhattan_spearman
value: 87.02163091089946
verified: no, type: pearson
value: 86.44548026840202
verified: no, type: spearman
value: 87.26263108768539
verified: no
task: type: STS, dataset: config: en-de
name: MTEB STS17 (en-de)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cosine_pearson
value: 87.89345132532758
verified: no, type: cosine_spearman
value: 87.96246221327699
verified: no, type: euclidean_pearson
value: 88.49013032701419
verified: no, type: euclidean_spearman
value: 87.81981265317344
verified: no, type: main_score
value: 87.96246221327699
verified: no, type: manhattan_pearson
value: 88.31360914178538
verified: no, type: manhattan_spearman
value: 87.62734530005075
verified: no, type: pearson
value: 87.89345132532758
verified: no, type: spearman
value: 87.96246221327699
verified: no
task: type: STS, dataset: config: es-es
name: MTEB STS17 (es-es)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cosine_pearson
value: 88.4084678497171
verified: no, type: cosine_spearman
value: 88.77640638748285
verified: no, type: euclidean_pearson
value: 89.60124312475843
verified: no, type: euclidean_spearman
value: 88.4321442688528
verified: no, type: main_score
value: 88.77640638748285
verified: no, type: manhattan_pearson
value: 89.62375118021299
verified: no, type: manhattan_spearman
value: 88.46998118661577
verified: no, type: pearson
value: 88.4084678497171
verified: no, type: spearman
value: 88.77640638748285
verified: no
task: type: STS, dataset: config: fr-en
name: MTEB STS17 (fr-en)
revision: faeb762787bd10488a50c8b5be4a3b82e411949c
split: test
type: mteb/sts17-crosslingual-sts
metrics: type: cosine_pearson
value: 87.30688801326498
verified: no, type: cosine_spearman
value: 87.55684697258378
verified: no, type: euclidean_pearson
value: 87.89672951056794
verified: no, type: euclidean_spearman
value: 87.28050429201674
verified: no, type: main_score
value: 87.55684697258378
verified: no, type: manhattan_pearson
value: 87.74292745320572
verified: no, type: manhattan_spearman
value: 87.16383993876582
verified: no, type: pearson
value: 87.30688801326498
verified: no, type: spearman
value: 87.55684697258378
verified: no
task: type: STS, dataset: config: zh-en
name: MTEB STS22 (zh-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 73.46180375170147
verified: no, type: cosine_spearman
value: 73.39559590127081
verified: no, type: euclidean_pearson
value: 73.72613901293681
verified: no, type: euclidean_spearman
value: 71.85465165176795
verified: no, type: main_score
value: 73.39559590127081
verified: no, type: manhattan_pearson
value: 73.07859140869076
verified: no, type: manhattan_spearman
value: 71.22047343718893
verified: no, type: pearson
value: 73.46180375170147
verified: no, type: spearman
value: 73.39559590127081
verified: no
task: type: STS, dataset: config: zh
name: MTEB STS22 (zh)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 62.47531620842637
verified: no, type: cosine_spearman
value: 66.22504667157702
verified: no, type: euclidean_pearson
value: 66.76201254783692
verified: no, type: euclidean_spearman
value: 66.86115760269463
verified: no, type: main_score
value: 66.22504667157702
verified: no, type: manhattan_pearson
value: 66.73847836793489
verified: no, type: manhattan_spearman
value: 66.7677116377695
verified: no, type: pearson
value: 62.47531620842637
verified: no, type: spearman
value: 66.22504667157702
verified: no
task: type: STS, dataset: config: es
name: MTEB STS22 (es)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 69.89707002436481
verified: no, type: cosine_spearman
value: 72.2054865735116
verified: no, type: euclidean_pearson
value: 71.81856615570756
verified: no, type: euclidean_spearman
value: 72.72593304629407
verified: no, type: main_score
value: 72.2054865735116
verified: no, type: manhattan_pearson
value: 72.00362684700072
verified: no, type: manhattan_spearman
value: 72.62783534769964
verified: no, type: pearson
value: 69.89707002436481
verified: no, type: spearman
value: 72.2054865735116
verified: no
task: type: STS, dataset: config: fr
name: MTEB STS22 (fr)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 81.59623734395916
verified: no, type: cosine_spearman
value: 83.28946105111358
verified: no, type: euclidean_pearson
value: 79.377330171466
verified: no, type: euclidean_spearman
value: 81.81029781662205
verified: no, type: main_score
value: 83.28946105111358
verified: no, type: manhattan_pearson
value: 78.96970881689698
verified: no, type: manhattan_spearman
value: 81.91773236079703
verified: no, type: pearson
value: 81.59623734395916
verified: no, type: spearman
value: 83.28946105111358
verified: no
task: type: STS, dataset: config: de-fr
name: MTEB STS22 (de-fr)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 55.03825643126142
verified: no, type: cosine_spearman
value: 58.25792501780429
verified: no, type: euclidean_pearson
value: 50.38007603973409
verified: no, type: euclidean_spearman
value: 59.39961789383097
verified: no, type: main_score
value: 58.25792501780429
verified: no, type: manhattan_pearson
value: 50.518568927999155
verified: no, type: manhattan_spearman
value: 59.84185466003894
verified: no, type: pearson
value: 55.03825643126142
verified: no, type: spearman
value: 58.25792501780429
verified: no
task: type: STS, dataset: config: pl-en
name: MTEB STS22 (pl-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 77.77233721490776
verified: no, type: cosine_spearman
value: 76.17596588017625
verified: no, type: euclidean_pearson
value: 74.47600468156611
verified: no, type: euclidean_spearman
value: 72.61278728057012
verified: no, type: main_score
value: 76.17596588017625
verified: no, type: manhattan_pearson
value: 74.48118910099699
verified: no, type: manhattan_spearman
value: 73.33167419101696
verified: no, type: pearson
value: 77.77233721490776
verified: no, type: spearman
value: 76.17596588017625
verified: no
task: type: STS, dataset: config: pl
name: MTEB STS22 (pl)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 42.87453608131507
verified: no, type: cosine_spearman
value: 45.137849894401185
verified: no, type: euclidean_pearson
value: 31.66964197694796
verified: no, type: euclidean_spearman
value: 44.1014900837869
verified: no, type: main_score
value: 45.137849894401185
verified: no, type: manhattan_pearson
value: 31.007199259384745
verified: no, type: manhattan_spearman
value: 43.48181523288926
verified: no, type: pearson
value: 42.87453608131507
verified: no, type: spearman
value: 45.137849894401185
verified: no
task: type: STS, dataset: config: en
name: MTEB STS22 (en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 66.87400150638176
verified: no, type: cosine_spearman
value: 67.27861354834066
verified: no, type: euclidean_pearson
value: 66.81789582140216
verified: no, type: euclidean_spearman
value: 66.44220479858708
verified: no, type: main_score
value: 67.27861354834066
verified: no, type: manhattan_pearson
value: 66.92509859033235
verified: no, type: manhattan_spearman
value: 66.46841124185076
verified: no, type: pearson
value: 66.87400150638176
verified: no, type: spearman
value: 67.27861354834066
verified: no
task: type: STS, dataset: config: ru
name: MTEB STS22 (ru)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 61.819804551576084
verified: no, type: cosine_spearman
value: 65.0864146772135
verified: no, type: euclidean_pearson
value: 62.518151090361876
verified: no, type: euclidean_spearman
value: 65.13608138548017
verified: no, type: main_score
value: 65.0864146772135
verified: no, type: manhattan_pearson
value: 62.51413246915267
verified: no, type: manhattan_spearman
value: 65.19077543064323
verified: no, type: pearson
value: 61.819804551576084
verified: no, type: spearman
value: 65.0864146772135
verified: no
task: type: STS, dataset: config: de
name: MTEB STS22 (de)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 54.85728696035389
verified: no, type: cosine_spearman
value: 61.60906359227576
verified: no, type: euclidean_pearson
value: 52.57582587901851
verified: no, type: euclidean_spearman
value: 61.41823097598308
verified: no, type: main_score
value: 61.60906359227576
verified: no, type: manhattan_pearson
value: 52.500978361080506
verified: no, type: manhattan_spearman
value: 61.30365596659758
verified: no, type: pearson
value: 54.85728696035389
verified: no, type: spearman
value: 61.60906359227576
verified: no
task: type: STS, dataset: config: fr-pl
name: MTEB STS22 (fr-pl)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 67.68016005631422
verified: no, type: cosine_spearman
value: 84.51542547285167
verified: no, type: euclidean_pearson
value: 66.19871164667245
verified: no, type: euclidean_spearman
value: 73.24670207647144
verified: no, type: main_score
value: 84.51542547285167
verified: no, type: manhattan_pearson
value: 67.0443525268974
verified: no, type: manhattan_spearman
value: 73.24670207647144
verified: no, type: pearson
value: 67.68016005631422
verified: no, type: spearman
value: 84.51542547285167
verified: no
task: type: STS, dataset: config: de-pl
name: MTEB STS22 (de-pl)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 47.49467414030747
verified: no, type: cosine_spearman
value: 56.81512095681289
verified: no, type: euclidean_pearson
value: 48.42860221765214
verified: no, type: euclidean_spearman
value: 58.63197306329092
verified: no, type: main_score
value: 56.81512095681289
verified: no, type: manhattan_pearson
value: 48.39594959260441
verified: no, type: manhattan_spearman
value: 58.63197306329092
verified: no, type: pearson
value: 47.49467414030747
verified: no, type: spearman
value: 56.81512095681289
verified: no
task: type: STS, dataset: config: es-en
name: MTEB STS22 (es-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 76.8364678896155
verified: no, type: cosine_spearman
value: 78.45516413087114
verified: no, type: euclidean_pearson
value: 78.62779318576634
verified: no, type: euclidean_spearman
value: 78.88760695649488
verified: no, type: main_score
value: 78.45516413087114
verified: no, type: manhattan_pearson
value: 78.62131335760031
verified: no, type: manhattan_spearman
value: 78.81861844200388
verified: no, type: pearson
value: 76.8364678896155
verified: no, type: spearman
value: 78.45516413087114
verified: no
task: type: STS, dataset: config: de-en
name: MTEB STS22 (de-en)
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3
split: test
type: mteb/sts22-crosslingual-sts
metrics: type: cosine_pearson
value: 65.16640313911604
verified: no, type: cosine_spearman
value: 60.887608967403914
verified: no, type: euclidean_pearson
value: 67.49902244990913
verified: no, type: euclidean_spearman
value: 59.2458787136538
verified: no, type: main_score
value: 60.887608967403914
verified: no, type: manhattan_pearson
value: 67.34313506388378
verified: no, type: manhattan_spearman
value: 59.05283429200166
verified: no, type: pearson
value: 65.16640313911604
verified: no, type: spearman
value: 60.887608967403914
verified: no
task: type: STS, dataset: config: default
name: MTEB QBQTC (default)
revision: 790b0510dc52b1553e8c49f3d2afb48c0e5c48b7
split: test
type: C-MTEB/QBQTC
metrics: type: cosine_pearson
value: 34.20049144526891
verified: no, type: cosine_spearman
value: 36.41802814113771
verified: no, type: euclidean_pearson
value: 34.56994213959062
verified: no, type: euclidean_spearman
value: 36.06141660786936
verified: no, type: main_score
value: 36.41802814113771
verified: no, type: manhattan_pearson
value: 34.537041543916004
verified: no, type: manhattan_spearman
value: 36.03341892777382
verified: no, type: pearson
value: 34.20049144526891
verified: no, type: spearman
value: 36.41802814113771
verified: no
task: type: STS, dataset: config: default
name: MTEB STSB (default)
revision: 0cde68302b3541bb8b3c340dc0644b0b745b3dc0
split: test
type: C-MTEB/STSB
metrics: type: cosine_pearson
value: 81.5092853013241
verified: no, type: cosine_spearman
value: 83.54005474244292
verified: no, type: euclidean_pearson
value: 83.7246578378554
verified: no, type: euclidean_spearman
value: 84.46767551087716
verified: no, type: main_score
value: 83.54005474244292
verified: no, type: manhattan_pearson
value: 83.65922665594636
verified: no, type: manhattan_spearman
value: 84.42431449101848
verified: no, type: pearson
value: 81.5092853013241
verified: no, type: spearman
value: 83.54005474244292
verified: no
task: type: STS, dataset: config: default
name: MTEB STSBenchmark (default)
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831
split: test
type: mteb/stsbenchmark-sts
metrics: type: cosine_pearson
value: 87.70246866744966
verified: no, type: cosine_spearman
value: 89.44070045346106
verified: no, type: euclidean_pearson
value: 89.56956519641007
verified: no, type: euclidean_spearman
value: 89.95830112784283
verified: no, type: main_score
value: 89.44070045346106
verified: no, type: manhattan_pearson
value: 89.48264471425145
verified: no, type: manhattan_spearman
value: 89.87900732483114
verified: no, type: pearson
value: 87.70246866744966
verified: no, type: spearman
value: 89.44070045346106
verified: no
task: type: STS, dataset: config: de
name: MTEB STSBenchmarkMultilingualSTS (de)
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
split: test
type: mteb/stsb_multi_mt
metrics: type: cosine_pearson
value: 86.83701990805217
verified: no, type: cosine_spearman
value: 87.80280785492258
verified: no, type: euclidean_pearson
value: 87.77325330043514
verified: no, type: euclidean_spearman
value: 88.3564607283144
verified: no, type: main_score
value: 87.80280785492258
verified: no, type: manhattan_pearson
value: 87.6745449945946
verified: no, type: manhattan_spearman
value: 88.30660465978795
verified: no, type: pearson
value: 86.83701990805217
verified: no, type: spearman
value: 87.80280785492258
verified: no
task: type: STS, dataset: config: zh
name: MTEB STSBenchmarkMultilingualSTS (zh)
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
split: test
type: mteb/stsb_multi_mt
metrics: type: cosine_pearson
value: 84.27751020600267
verified: no, type: cosine_spearman
value: 85.63500407412486
verified: no, type: euclidean_pearson
value: 85.21829891649696
verified: no, type: euclidean_spearman
value: 85.9384575715382
verified: no, type: main_score
value: 85.63500407412486
verified: no, type: manhattan_pearson
value: 85.10797194089801
verified: no, type: manhattan_spearman
value: 85.8770162042784
verified: no, type: pearson
value: 84.27751020600267
verified: no, type: spearman
value: 85.63500407412486
verified: no
task: type: STS, dataset: config: fr
name: MTEB STSBenchmarkMultilingualSTS (fr)
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
split: test
type: mteb/stsb_multi_mt
metrics: type: cosine_pearson
value: 86.56833656723254
verified: no, type: cosine_spearman
value: 87.4393978501382
verified: no, type: euclidean_pearson
value: 87.45171512751267
verified: no, type: euclidean_spearman
value: 88.13106516566947
verified: no, type: main_score
value: 87.4393978501382
verified: no, type: manhattan_pearson
value: 87.33010961793333
verified: no, type: manhattan_spearman
value: 88.06707425102182
verified: no, type: pearson
value: 86.56833656723254
verified: no, type: spearman
value: 87.4393978501382
verified: no
task: type: STS, dataset: config: pl
name: MTEB STSBenchmarkMultilingualSTS (pl)
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
split: test
type: mteb/stsb_multi_mt
metrics: type: cosine_pearson
value: 85.45065540325523
verified: no, type: cosine_spearman
value: 85.47881076789359
verified: no, type: euclidean_pearson
value: 85.1999493863155
verified: no, type: euclidean_spearman
value: 85.7874947669187
verified: no, type: main_score
value: 85.47881076789359
verified: no, type: manhattan_pearson
value: 85.06075305990376
verified: no, type: manhattan_spearman
value: 85.71563015639558
verified: no, type: pearson
value: 85.45065540325523
verified: no, type: spearman
value: 85.47881076789359
verified: no
task: type: STS, dataset: config: es
name: MTEB STSBenchmarkMultilingualSTS (es)
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
split: test
type: mteb/stsb_multi_mt
metrics: type: cosine_pearson
value: 87.11952824079832
verified: no, type: cosine_spearman
value: 87.9643473573153
verified: no, type: euclidean_pearson
value: 88.11750364639971
verified: no, type: euclidean_spearman
value: 88.63695109016498
verified: no, type: main_score
value: 87.9643473573153
verified: no, type: manhattan_pearson
value: 88.00294453126699
verified: no, type: manhattan_spearman
value: 88.53750241758391
verified: no, type: pearson
value: 87.11952824079832
verified: no, type: spearman
value: 87.9643473573153
verified: no
task: type: STS, dataset: config: ru
name: MTEB STSBenchmarkMultilingualSTS (ru)
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
split: test
type: mteb/stsb_multi_mt
metrics: type: cosine_pearson
value: 85.99804354414991
verified: no, type: cosine_spearman
value: 86.30252111551002
verified: no, type: euclidean_pearson
value: 86.1880652037762
verified: no, type: euclidean_spearman
value: 86.69556223944502
verified: no, type: main_score
value: 86.30252111551002
verified: no, type: manhattan_pearson
value: 86.0736400320898
verified: no, type: manhattan_spearman
value: 86.61747927593393
verified: no, type: pearson
value: 85.99804354414991
verified: no, type: spearman
value: 86.30252111551002
verified: no
task: type: STS, dataset: config: en
name: MTEB STSBenchmarkMultilingualSTS (en)
revision: 29afa2569dcedaaa2fe6a3dcfebab33d28b82e8c
split: test
type: mteb/stsb_multi_mt
metrics: type: cosine_pearson
value: 87.70246861738103
verified: no, type: cosine_spearman
value: 89.44070045346106
verified: no, type: euclidean_pearson
value: 89.56956518833663
verified: no, type: euclidean_spearman
value: 89.95830112784283
verified: no, type: main_score
value: 89.44070045346106
verified: no, type: manhattan_pearson
value: 89.48264470792915
verified: no, type: manhattan_spearman
value: 89.87900732483114
verified: no, type: pearson
value: 87.70246861738103
verified: no, type: spearman
value: 89.44070045346106
verified: no
task: type: STS, dataset: config: default
name: MTEB SciDocsRR (default)
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab
split: test
type: mteb/scidocs-reranking
metrics: type: map
value: 84.88064122814694
verified: no, type: mrr
value: 95.84832651009123
verified: no, type: main_score
value: 84.88064122814694
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SciFact (default)
revision: 0228b52cf27578f30900b9e5271d331663a030d7
split: test
type: mteb/scifact
metrics: type: map_at_1
value: 57.289
verified: no, type: map_at_10
value: 67.88499999999999
verified: no, type: map_at_100
value: 68.477
verified: no, type: map_at_1000
value: 68.50500000000001
verified: no, type: map_at_20
value: 68.33500000000001
verified: no, type: map_at_3
value: 65.08
verified: no, type: map_at_5
value: 67.001
verified: no, type: mrr_at_1
value: 59.667
verified: no, type: mrr_at_10
value: 68.626
verified: no, type: mrr_at_100
value: 69.082
verified: no, type: mrr_at_1000
value: 69.108
verified: no, type: mrr_at_20
value: 68.958
verified: no, type: mrr_at_3
value: 66.667
verified: no, type: mrr_at_5
value: 67.983
verified: no, type: ndcg_at_1
value: 59.667
verified: no, type: ndcg_at_10
value: 72.309
verified: no, type: ndcg_at_100
value: 74.58399999999999
verified: no, type: ndcg_at_1000
value: 75.25500000000001
verified: no, type: ndcg_at_20
value: 73.656
verified: no, type: ndcg_at_3
value: 67.791
verified: no, type: ndcg_at_5
value: 70.45
verified: no, type: precision_at_1
value: 59.667
verified: no, type: precision_at_10
value: 9.567
verified: no, type: precision_at_100
value: 1.073
verified: no, type: precision_at_1000
value: 0.11299999999999999
verified: no, type: precision_at_20
value: 5.083
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verified: no, type: recall_at_100
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verified: no, type: recall_at_1000
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verified: no, type: recall_at_5
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verified: no, type: main_score
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task: type: Retrieval, dataset: config: default
name: MTEB SpanishNewsClusteringP2P (default)
revision: bf8ca8ddc5b7da4f7004720ddf99bbe0483480e6
split: test
type: jinaai/spanish_news_clustering
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verified: no, type: v_measure_std
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task: type: Clustering, dataset: config: default
name: MTEB SpanishPassageRetrievalS2S (default)
revision: 9cddf2ce5209ade52c2115ccfa00eb22c6d3a837
split: test
type: jinaai/spanish_passage_retrieval
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verified: no, type: map_at_100
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verified: no, type: map_at_1000
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verified: no, type: nauc_recall_at_10_diff1
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verified: no, type: ndcg_at_1
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verified: no, type: ndcg_at_10
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verified: no, type: ndcg_at_100
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verified: no, type: ndcg_at_1000
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verified: no, type: ndcg_at_20
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verified: no, type: ndcg_at_3
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verified: no, type: ndcg_at_5
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verified: no, type: precision_at_1
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verified: no, type: precision_at_10
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verified: no, type: precision_at_100
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verified: no, type: precision_at_1000
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verified: no, type: precision_at_20
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verified: no, type: precision_at_3
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verified: no, type: precision_at_5
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verified: no, type: recall_at_1
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verified: no, type: recall_at_10
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verified: no, type: recall_at_100
value: 100
verified: no, type: recall_at_1000
value: 100
verified: no, type: recall_at_20
value: 85.01100000000001
verified: no, type: recall_at_3
value: 36.441
verified: no, type: recall_at_5
value: 49.109
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB SprintDuplicateQuestions (default)
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46
split: test
type: mteb/sprintduplicatequestions-pairclassification
metrics: type: cosine_accuracy
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verified: no, type: cosine_accuracy_threshold
value: 86.0752820968628
verified: no, type: cosine_ap
value: 96.98758090713252
verified: no, type: cosine_f1
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verified: no, type: cosine_f1_threshold
value: 86.0752820968628
verified: no, type: cosine_precision
value: 94.58077709611452
verified: no, type: cosine_recall
value: 92.5
verified: no, type: dot_accuracy
value: 99.82574257425742
verified: no, type: dot_accuracy_threshold
value: 40484.73815917969
verified: no, type: dot_ap
value: 95.68959907254845
verified: no, type: dot_f1
value: 91.31293188548865
verified: no, type: dot_f1_threshold
value: 40336.810302734375
verified: no, type: dot_precision
value: 90.15594541910332
verified: no, type: dot_recall
value: 92.5
verified: no, type: euclidean_accuracy
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verified: no, type: euclidean_accuracy_threshold
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verified: no, type: euclidean_ap
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verified: no, type: euclidean_f1
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verified: no, type: euclidean_f1_threshold
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verified: no, type: euclidean_precision
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verified: no, type: euclidean_recall
value: 92.7
verified: no, type: main_score
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verified: no, type: manhattan_accuracy
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verified: no, type: manhattan_accuracy_threshold
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value: 93.33333333333333
verified: no, type: manhattan_f1_threshold
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verified: no, type: manhattan_precision
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verified: no, type: manhattan_recall
value: 92.4
verified: no, type: max_accuracy
value: 99.87326732673267
verified: no, type: max_ap
value: 96.98758090713252
verified: no, type: max_f1
value: 93.52881698685542
verified: no, type: max_precision
value: 94.58077709611452
verified: no, type: max_recall
value: 92.7
verified: no, type: similarity_accuracy
value: 99.87326732673267
verified: no, type: similarity_accuracy_threshold
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verified: no, type: similarity_ap
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verified: no, type: similarity_f1_threshold
value: 86.0752820968628
verified: no, type: similarity_precision
value: 94.58077709611452
verified: no, type: similarity_recall
value: 92.5
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB StackExchangeClustering (default)
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259
split: test
type: mteb/stackexchange-clustering
metrics: type: main_score
value: 65.6560129719848
verified: no, type: v_measure
value: 65.6560129719848
verified: no, type: v_measure_std
value: 4.781229811487539
verified: no
task: type: Clustering, dataset: config: default
name: MTEB StackExchangeClusteringP2P (default)
revision: 815ca46b2622cec33ccafc3735d572c266efdb44
split: test
type: mteb/stackexchange-clustering-p2p
metrics: type: main_score
value: 35.07546243853692
verified: no, type: v_measure
value: 35.07546243853692
verified: no, type: v_measure_std
value: 1.1978740356240998
verified: no
task: type: Clustering, dataset: config: default
name: MTEB StackOverflowDupQuestions (default)
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69
split: test
type: mteb/stackoverflowdupquestions-reranking
metrics: type: map
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verified: no, type: mrr
value: 52.65443298531534
verified: no, type: main_score
value: 51.771005199508835
verified: no
task: type: Reranking, dataset: config: default
name: MTEB SummEval (default)
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c
split: test
type: mteb/summeval
metrics: type: cosine_pearson
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verified: no, type: cosine_spearman
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verified: no, type: dot_pearson
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verified: no, type: dot_spearman
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verified: no, type: main_score
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verified: no, type: pearson
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verified: no, type: spearman
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verified: no
task: type: Summarization, dataset: config: default
name: MTEB SummEvalFr (default)
revision: b385812de6a9577b6f4d0f88c6a6e35395a94054
split: test
type: lyon-nlp/summarization-summeval-fr-p2p
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verified: no, type: cosine_spearman
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verified: no, type: pearson
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verified: no, type: spearman
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verified: no
task: type: Summarization, dataset: config: default
name: MTEB SyntecReranking (default)
revision: b205c5084a0934ce8af14338bf03feb19499c84d
split: test
type: lyon-nlp/mteb-fr-reranking-syntec-s2p
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verified: no, type: mrr
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verified: no, type: main_score
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task: type: Reranking, dataset: config: default
name: MTEB SyntecRetrieval (default)
revision: 19661ccdca4dfc2d15122d776b61685f48c68ca9
split: test
type: lyon-nlp/mteb-fr-retrieval-syntec-s2p
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verified: no, type: similarity_accuracy
value: 60.586319218241044
verified: no, type: similarity_accuracy_threshold
value: 82.49806761741638
verified: no, type: similarity_ap
value: 58.73198048427448
verified: no, type: similarity_f1
value: 67.37967914438502
verified: no, type: similarity_f1_threshold
value: 77.46461033821106
verified: no, type: similarity_precision
value: 57.01357466063348
verified: no, type: similarity_recall
value: 82.35294117647058
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB TNews (default)
revision: 317f262bf1e6126357bbe89e875451e4b0938fe4
split: validation
type: C-MTEB/TNews-classification
metrics: type: accuracy
value: 45.967999999999996
verified: no, type: f1
value: 44.699306100915706
verified: no, type: f1_weighted
value: 46.03730319014832
verified: no, type: main_score
value: 45.967999999999996
verified: no
task: type: Classification, dataset: config: default
name: MTEB TRECCOVID (default)
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e
split: test
type: mteb/trec-covid
metrics: type: map_at_1
value: 0.251
verified: no, type: map_at_10
value: 1.9480000000000002
verified: no, type: map_at_100
value: 11.082
verified: no, type: map_at_1000
value: 26.700000000000003
verified: no, type: map_at_20
value: 3.3529999999999998
verified: no, type: map_at_3
value: 0.679
verified: no, type: map_at_5
value: 1.079
verified: no, type: mrr_at_1
value: 94
verified: no, type: mrr_at_10
value: 95.786
verified: no, type: mrr_at_100
value: 95.786
verified: no, type: mrr_at_1000
value: 95.786
verified: no, type: mrr_at_20
value: 95.786
verified: no, type: mrr_at_3
value: 95
verified: no, type: mrr_at_5
value: 95.5
verified: no, type: ndcg_at_1
value: 91
verified: no, type: ndcg_at_10
value: 77.71900000000001
verified: no, type: ndcg_at_100
value: 57.726
verified: no, type: ndcg_at_1000
value: 52.737
verified: no, type: ndcg_at_20
value: 72.54
verified: no, type: ndcg_at_3
value: 83.397
verified: no, type: ndcg_at_5
value: 80.806
verified: no, type: precision_at_1
value: 94
verified: no, type: precision_at_10
value: 81
verified: no, type: precision_at_100
value: 59.199999999999996
verified: no, type: precision_at_1000
value: 23.244
verified: no, type: precision_at_20
value: 75.2
verified: no, type: precision_at_3
value: 88
verified: no, type: precision_at_5
value: 84.8
verified: no, type: recall_at_1
value: 0.251
verified: no, type: recall_at_10
value: 2.1229999999999998
verified: no, type: recall_at_100
value: 14.496999999999998
verified: no, type: recall_at_1000
value: 50.09
verified: no, type: recall_at_20
value: 3.8309999999999995
verified: no, type: recall_at_3
value: 0.696
verified: no, type: recall_at_5
value: 1.1400000000000001
verified: no, type: main_score
value: 77.71900000000001
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB TenKGnadClusteringP2P (default)
revision: 5c59e41555244b7e45c9a6be2d720ab4bafae558
split: test
type: slvnwhrl/tenkgnad-clustering-p2p
metrics: type: main_score
value: 43.763609722295215
verified: no, type: v_measure
value: 43.763609722295215
verified: no, type: v_measure_std
value: 2.8751199473862457
verified: no
task: type: Clustering, dataset: config: default
name: MTEB TenKGnadClusteringS2S (default)
revision: 6cddbe003f12b9b140aec477b583ac4191f01786
split: test
type: slvnwhrl/tenkgnad-clustering-s2s
metrics: type: main_score
value: 39.762424448504355
verified: no, type: v_measure
value: 39.762424448504355
verified: no, type: v_measure_std
value: 3.30146124979502
verified: no
task: type: Clustering, dataset: config: default
name: MTEB ThuNewsClusteringP2P (default)
revision: 5798586b105c0434e4f0fe5e767abe619442cf93
split: test
type: C-MTEB/ThuNewsClusteringP2P
metrics: type: main_score
value: 63.133819258289456
verified: no, type: v_measure
value: 63.133819258289456
verified: no, type: v_measure_std
value: 1.8854253356479695
verified: no
task: type: Clustering, dataset: config: default
name: MTEB ThuNewsClusteringS2S (default)
revision: 8a8b2caeda43f39e13c4bc5bea0f8a667896e10d
split: test
type: C-MTEB/ThuNewsClusteringS2S
metrics: type: main_score
value: 58.98195851785808
verified: no, type: v_measure
value: 58.98195851785808
verified: no, type: v_measure_std
value: 1.6237600076393737
verified: no
task: type: Clustering, dataset: config: default
name: MTEB Touche2020 (default)
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f
split: test
type: mteb/touche2020
metrics: type: map_at_1
value: 3.3550000000000004
verified: no, type: map_at_10
value: 10.08
verified: no, type: map_at_100
value: 16.136
verified: no, type: map_at_1000
value: 17.605
verified: no, type: map_at_20
value: 12.561
verified: no, type: map_at_3
value: 5.641
verified: no, type: map_at_5
value: 7.3260000000000005
verified: no, type: mrr_at_1
value: 46.939
verified: no, type: mrr_at_10
value: 58.152
verified: no, type: mrr_at_100
value: 58.594
verified: no, type: mrr_at_1000
value: 58.601000000000006
verified: no, type: mrr_at_20
value: 58.279
verified: no, type: mrr_at_3
value: 55.102
verified: no, type: mrr_at_5
value: 56.531
verified: no, type: ndcg_at_1
value: 44.897999999999996
verified: no, type: ndcg_at_10
value: 26.298
verified: no, type: ndcg_at_100
value: 37.596000000000004
verified: no, type: ndcg_at_1000
value: 49.424
verified: no, type: ndcg_at_20
value: 27.066000000000003
verified: no, type: ndcg_at_3
value: 31.528
verified: no, type: ndcg_at_5
value: 28.219
verified: no, type: precision_at_1
value: 46.939
verified: no, type: precision_at_10
value: 22.245
verified: no, type: precision_at_100
value: 7.531000000000001
verified: no, type: precision_at_1000
value: 1.5350000000000001
verified: no, type: precision_at_20
value: 17.041
verified: no, type: precision_at_3
value: 30.612000000000002
verified: no, type: precision_at_5
value: 26.122
verified: no, type: recall_at_1
value: 3.3550000000000004
verified: no, type: recall_at_10
value: 16.41
verified: no, type: recall_at_100
value: 47.272
verified: no, type: recall_at_1000
value: 83.584
verified: no, type: recall_at_20
value: 24.091
verified: no, type: recall_at_3
value: 6.8180000000000005
verified: no, type: recall_at_5
value: 9.677
verified: no, type: main_score
value: 26.298
verified: no
task: type: Retrieval, dataset: config: default
name: MTEB ToxicConversationsClassification (default)
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de
split: test
type: mteb/toxic_conversations_50k
metrics: type: accuracy
value: 91.2890625
verified: no, type: ap
value: 33.95547153875715
verified: no, type: ap_weighted
value: 33.95547153875715
verified: no, type: f1
value: 75.10768597556462
verified: no, type: f1_weighted
value: 92.00161208992606
verified: no, type: main_score
value: 91.2890625
verified: no
task: type: Classification, dataset: config: default
name: MTEB TweetSentimentExtractionClassification (default)
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a
split: test
type: mteb/tweet_sentiment_extraction
metrics: type: accuracy
value: 71.3978494623656
verified: no, type: f1
value: 71.7194818511814
verified: no, type: f1_weighted
value: 71.13860187349744
verified: no, type: main_score
value: 71.3978494623656
verified: no
task: type: Classification, dataset: config: default
name: MTEB TwentyNewsgroupsClustering (default)
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449
split: test
type: mteb/twentynewsgroups-clustering
metrics: type: main_score
value: 52.4921688720602
verified: no, type: v_measure
value: 52.4921688720602
verified: no, type: v_measure_std
value: 0.992768152658908
verified: no
task: type: Clustering, dataset: config: default
name: MTEB TwitterSemEval2015 (default)
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1
split: test
type: mteb/twittersemeval2015-pairclassification
metrics: type: cosine_accuracy
value: 85.11652858079513
verified: no, type: cosine_accuracy_threshold
value: 87.90839910507202
verified: no, type: cosine_ap
value: 70.90459908851724
verified: no, type: cosine_f1
value: 65.66581227877457
verified: no, type: cosine_f1_threshold
value: 85.13308763504028
verified: no, type: cosine_precision
value: 61.094708153531684
verified: no, type: cosine_recall
value: 70.97625329815304
verified: no, type: dot_accuracy
value: 83.41181379269239
verified: no, type: dot_accuracy_threshold
value: 43110.113525390625
verified: no, type: dot_ap
value: 65.64869491143095
verified: no, type: dot_f1
value: 62.05308447460914
verified: no, type: dot_f1_threshold
value: 41412.542724609375
verified: no, type: dot_precision
value: 57.38623626989464
verified: no, type: dot_recall
value: 67.54617414248021
verified: no, type: euclidean_accuracy
value: 85.15229182809799
verified: no, type: euclidean_accuracy_threshold
value: 1043.08500289917
verified: no, type: euclidean_ap
value: 70.71204383269375
verified: no, type: euclidean_f1
value: 65.20304568527919
verified: no, type: euclidean_f1_threshold
value: 1179.2595863342285
verified: no, type: euclidean_precision
value: 62.81173594132029
verified: no, type: euclidean_recall
value: 67.78364116094987
verified: no, type: main_score
value: 70.90459908851724
verified: no, type: manhattan_accuracy
value: 85.1820945341837
verified: no, type: manhattan_accuracy_threshold
value: 26115.0390625
verified: no, type: manhattan_ap
value: 70.66113937117431
verified: no, type: manhattan_f1
value: 65.33383628819313
verified: no, type: manhattan_f1_threshold
value: 29105.181884765625
verified: no, type: manhattan_precision
value: 62.40691808791736
verified: no, type: manhattan_recall
value: 68.54881266490766
verified: no, type: max_accuracy
value: 85.1820945341837
verified: no, type: max_ap
value: 70.90459908851724
verified: no, type: max_f1
value: 65.66581227877457
verified: no, type: max_precision
value: 62.81173594132029
verified: no, type: max_recall
value: 70.97625329815304
verified: no, type: similarity_accuracy
value: 85.11652858079513
verified: no, type: similarity_accuracy_threshold
value: 87.90839910507202
verified: no, type: similarity_ap
value: 70.90459908851724
verified: no, type: similarity_f1
value: 65.66581227877457
verified: no, type: similarity_f1_threshold
value: 85.13308763504028
verified: no, type: similarity_precision
value: 61.094708153531684
verified: no, type: similarity_recall
value: 70.97625329815304
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB TwitterURLCorpus (default)
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf
split: test
type: mteb/twitterurlcorpus-pairclassification
metrics: type: cosine_accuracy
value: 88.10299996119068
verified: no, type: cosine_accuracy_threshold
value: 84.34982895851135
verified: no, type: cosine_ap
value: 84.13755787769226
verified: no, type: cosine_f1
value: 76.0967548076923
verified: no, type: cosine_f1_threshold
value: 82.8936219215393
verified: no, type: cosine_precision
value: 74.28864769727193
verified: no, type: cosine_recall
value: 77.99507237449954
verified: no, type: dot_accuracy
value: 86.64182869561843
verified: no, type: dot_accuracy_threshold
value: 38794.677734375
verified: no, type: dot_ap
value: 80.20301567411457
verified: no, type: dot_f1
value: 73.50650291634967
verified: no, type: dot_f1_threshold
value: 37447.23205566406
verified: no, type: dot_precision
value: 69.41498460485802
verified: no, type: dot_recall
value: 78.11056359716662
verified: no, type: euclidean_accuracy
value: 87.9361198432103
verified: no, type: euclidean_accuracy_threshold
value: 1184.421157836914
verified: no, type: euclidean_ap
value: 83.79582690117218
verified: no, type: euclidean_f1
value: 75.81431709042175
verified: no, type: euclidean_f1_threshold
value: 1258.2727432250977
verified: no, type: euclidean_precision
value: 73.39099099099099
verified: no, type: euclidean_recall
value: 78.40314136125654
verified: no, type: main_score
value: 84.13755787769226
verified: no, type: manhattan_accuracy
value: 87.96134590755618
verified: no, type: manhattan_accuracy_threshold
value: 29077.291870117188
verified: no, type: manhattan_ap
value: 83.79487172269923
verified: no, type: manhattan_f1
value: 75.82421603424935
verified: no, type: manhattan_f1_threshold
value: 31224.124145507812
verified: no, type: manhattan_precision
value: 72.24740255212329
verified: no, type: manhattan_recall
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verified: no, type: max_accuracy
value: 88.10299996119068
verified: no, type: max_ap
value: 84.13755787769226
verified: no, type: max_f1
value: 76.0967548076923
verified: no, type: max_precision
value: 74.28864769727193
verified: no, type: max_recall
value: 79.77363720357253
verified: no, type: similarity_accuracy
value: 88.10299996119068
verified: no, type: similarity_accuracy_threshold
value: 84.34982895851135
verified: no, type: similarity_ap
value: 84.13755787769226
verified: no, type: similarity_f1
value: 76.0967548076923
verified: no, type: similarity_f1_threshold
value: 82.8936219215393
verified: no, type: similarity_precision
value: 74.28864769727193
verified: no, type: similarity_recall
value: 77.99507237449954
verified: no
task: type: PairClassification, dataset: config: default
name: MTEB VideoRetrieval (default)
revision: 58c2597a5943a2ba48f4668c3b90d796283c5639
split: dev
type: C-MTEB/VideoRetrieval
metrics: type: main_score
value: 70.433
verified: no, type: map_at_1
value: 55.7
verified: no, type: map_at_10
value: 66.013
verified: no, type: map_at_100
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verified: no, type: map_at_1000
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verified: no, type: map_at_20
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verified: no, type: map_at_3
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verified: no, type: map_at_5
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verified: no, type: mrr_at_1
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verified: no, type: mrr_at_10
value: 66.01329365079364
verified: no, type: mrr_at_100
value: 66.53350061744233
verified: no, type: mrr_at_1000
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verified: no, type: mrr_at_20
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verified: no, type: mrr_at_3
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verified: no, type: mrr_at_5
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verified: no, type: nauc_map_at_1000_diff1
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verified: no, type: nauc_map_at_1000_max
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verified: no, type: nauc_map_at_1000_std
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verified: no, type: nauc_map_at_100_diff1
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verified: no, type: nauc_map_at_10_diff1
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verified: no, type: nauc_map_at_10_std
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verified: no, type: nauc_map_at_1_diff1
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verified: no, type: nauc_map_at_1_max
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verified: no, type: nauc_map_at_1_std
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verified: no, type: nauc_map_at_20_diff1
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verified: no, type: nauc_map_at_20_std
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verified: no, type: nauc_map_at_3_diff1
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verified: no, type: nauc_map_at_3_max
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verified: no, type: nauc_map_at_3_std
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verified: no, type: nauc_mrr_at_1_std
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verified: no, type: nauc_mrr_at_5_diff1
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verified: no, type: nauc_ndcg_at_1000_diff1
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verified: no, type: nauc_ndcg_at_20_diff1
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verified: no, type: nauc_ndcg_at_3_diff1
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verified: no, type: nauc_ndcg_at_3_std
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verified: no, type: nauc_ndcg_at_5_diff1
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verified: no, type: nauc_ndcg_at_5_std
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verified: no, type: nauc_precision_at_1000_diff1
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verified: no, type: nauc_precision_at_1000_max
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verified: no, type: nauc_precision_at_1000_std
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verified: no, type: nauc_precision_at_100_diff1
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task: type: Retrieval, dataset: config: fra-fra
name: MTEB XPQARetrieval (fr)
revision: c99d599f0a6ab9b85b065da6f9d94f9cf731679f
split: test
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verified: no
task: type: Retrieval
Likes: 0 | All-time downloads: 49
Created: 2025-12-02 06:50:30