|
--- |
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language: |
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- en |
|
license: mit |
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model-index: |
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- name: Zeta-Alpha-E5-Mistral |
|
results: |
|
- dataset: |
|
config: en |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
split: test |
|
type: mteb/amazon_counterfactual |
|
metrics: |
|
- type: accuracy |
|
value: 77.76119402985074 |
|
- type: ap |
|
value: 39.97673988468886 |
|
- type: ap_weighted |
|
value: 39.97673988468886 |
|
- type: f1 |
|
value: 71.23171737695898 |
|
- type: f1_weighted |
|
value: 79.55230307558237 |
|
- type: main_score |
|
value: 77.76119402985074 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB AmazonPolarityClassification |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
split: test |
|
type: mteb/amazon_polarity |
|
metrics: |
|
- type: accuracy |
|
value: 96.61810000000001 |
|
- type: ap |
|
value: 94.99559013902017 |
|
- type: ap_weighted |
|
value: 94.99559013902017 |
|
- type: f1 |
|
value: 96.61758649480731 |
|
- type: f1_weighted |
|
value: 96.61758649480731 |
|
- type: main_score |
|
value: 96.61810000000001 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: en |
|
name: MTEB AmazonReviewsClassification (en) |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
split: test |
|
type: mteb/amazon_reviews_multi |
|
metrics: |
|
- type: accuracy |
|
value: 59.26199999999999 |
|
- type: f1 |
|
value: 56.32963321217333 |
|
- type: f1_weighted |
|
value: 56.32963321217333 |
|
- type: main_score |
|
value: 59.26199999999999 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB ArguAna |
|
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a |
|
split: test |
|
type: mteb/arguana |
|
metrics: |
|
- type: main_score |
|
value: 65.623 |
|
- type: map_at_1 |
|
value: 41.536 |
|
- type: map_at_10 |
|
value: 57.485 |
|
- type: map_at_100 |
|
value: 58.013000000000005 |
|
- type: map_at_1000 |
|
value: 58.013000000000005 |
|
- type: map_at_20 |
|
value: 57.957 |
|
- type: map_at_3 |
|
value: 53.284 |
|
- type: map_at_5 |
|
value: 55.837 |
|
- type: mrr_at_1 |
|
value: 42.17638691322902 |
|
- type: mrr_at_10 |
|
value: 57.7096175122492 |
|
- type: mrr_at_100 |
|
value: 58.23610809196743 |
|
- type: mrr_at_1000 |
|
value: 58.23673750573145 |
|
- type: mrr_at_20 |
|
value: 58.180348622747324 |
|
- type: mrr_at_3 |
|
value: 53.44950213371275 |
|
- type: mrr_at_5 |
|
value: 56.07396870554779 |
|
- type: nauc_map_at_1000_diff1 |
|
value: 14.098091070036958 |
|
- type: nauc_map_at_1000_max |
|
value: -16.568377380844108 |
|
- type: nauc_map_at_1000_std |
|
value: -22.105696179585834 |
|
- type: nauc_map_at_100_diff1 |
|
value: 14.096542453201625 |
|
- type: nauc_map_at_100_max |
|
value: -16.57054590195526 |
|
- type: nauc_map_at_100_std |
|
value: -22.1090324366772 |
|
- type: nauc_map_at_10_diff1 |
|
value: 13.840246695558884 |
|
- type: nauc_map_at_10_max |
|
value: -16.52098795923224 |
|
- type: nauc_map_at_10_std |
|
value: -22.074328710004032 |
|
- type: nauc_map_at_1_diff1 |
|
value: 17.117727049808984 |
|
- type: nauc_map_at_1_max |
|
value: -18.587242049712614 |
|
- type: nauc_map_at_1_std |
|
value: -22.454707653498595 |
|
- type: nauc_map_at_20_diff1 |
|
value: 14.068130846454585 |
|
- type: nauc_map_at_20_max |
|
value: -16.53942858114966 |
|
- type: nauc_map_at_20_std |
|
value: -22.10921004077996 |
|
- type: nauc_map_at_3_diff1 |
|
value: 14.596579595737097 |
|
- type: nauc_map_at_3_max |
|
value: -15.62887067464894 |
|
- type: nauc_map_at_3_std |
|
value: -22.09058102549274 |
|
- type: nauc_map_at_5_diff1 |
|
value: 13.798507062284514 |
|
- type: nauc_map_at_5_max |
|
value: -16.36834850771522 |
|
- type: nauc_map_at_5_std |
|
value: -21.984206595455134 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 12.144909427474602 |
|
- type: nauc_mrr_at_1000_max |
|
value: -17.048787138426324 |
|
- type: nauc_mrr_at_1000_std |
|
value: -21.961966140898564 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: 12.143403633612827 |
|
- type: nauc_mrr_at_100_max |
|
value: -17.050945262411012 |
|
- type: nauc_mrr_at_100_std |
|
value: -21.965305811191673 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: 11.88548720648553 |
|
- type: nauc_mrr_at_10_max |
|
value: -16.996705857584736 |
|
- type: nauc_mrr_at_10_std |
|
value: -21.883645748542396 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: 15.37682964765565 |
|
- type: nauc_mrr_at_1_max |
|
value: -17.989361001169087 |
|
- type: nauc_mrr_at_1_std |
|
value: -21.697830490637955 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: 12.119044499779363 |
|
- type: nauc_mrr_at_20_max |
|
value: -17.018675761117027 |
|
- type: nauc_mrr_at_20_std |
|
value: -21.965554459307565 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: 12.535001807278187 |
|
- type: nauc_mrr_at_3_max |
|
value: -16.38816957172248 |
|
- type: nauc_mrr_at_3_std |
|
value: -22.081293367465896 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 11.892111947679496 |
|
- type: nauc_mrr_at_5_max |
|
value: -16.79709351116846 |
|
- type: nauc_mrr_at_5_std |
|
value: -21.79512696140714 |
|
- type: nauc_ndcg_at_1000_diff1 |
|
value: 13.67006999549869 |
|
- type: nauc_ndcg_at_1000_max |
|
value: -16.236125687432107 |
|
- type: nauc_ndcg_at_1000_std |
|
value: -21.810131960233065 |
|
- type: nauc_ndcg_at_100_diff1 |
|
value: 13.637478389163462 |
|
- type: nauc_ndcg_at_100_max |
|
value: -16.28219720987127 |
|
- type: nauc_ndcg_at_100_std |
|
value: -21.880912370176876 |
|
- type: nauc_ndcg_at_10_diff1 |
|
value: 12.558591199280556 |
|
- type: nauc_ndcg_at_10_max |
|
value: -15.952826009827106 |
|
- type: nauc_ndcg_at_10_std |
|
value: -21.818643731025382 |
|
- type: nauc_ndcg_at_1_diff1 |
|
value: 17.117727049808984 |
|
- type: nauc_ndcg_at_1_max |
|
value: -18.587242049712614 |
|
- type: nauc_ndcg_at_1_std |
|
value: -22.454707653498595 |
|
- type: nauc_ndcg_at_20_diff1 |
|
value: 13.402986057386181 |
|
- type: nauc_ndcg_at_20_max |
|
value: -16.072631062968746 |
|
- type: nauc_ndcg_at_20_std |
|
value: -21.98468803430586 |
|
- type: nauc_ndcg_at_3_diff1 |
|
value: 14.059904782033348 |
|
- type: nauc_ndcg_at_3_max |
|
value: -14.433190101994514 |
|
- type: nauc_ndcg_at_3_std |
|
value: -21.990025270634135 |
|
- type: nauc_ndcg_at_5_diff1 |
|
value: 12.434165121057134 |
|
- type: nauc_ndcg_at_5_max |
|
value: -15.650774158031522 |
|
- type: nauc_ndcg_at_5_std |
|
value: -21.636716447934305 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: 1.7151819945276745 |
|
- type: nauc_precision_at_1000_max |
|
value: 20.85546049013785 |
|
- type: nauc_precision_at_1000_std |
|
value: 77.3551884133584 |
|
- type: nauc_precision_at_100_diff1 |
|
value: -7.961881099019577 |
|
- type: nauc_precision_at_100_max |
|
value: -1.8225484680865736 |
|
- type: nauc_precision_at_100_std |
|
value: 35.484449109425384 |
|
- type: nauc_precision_at_10_diff1 |
|
value: 0.46638305609538855 |
|
- type: nauc_precision_at_10_max |
|
value: -11.023993018739485 |
|
- type: nauc_precision_at_10_std |
|
value: -19.111584616037852 |
|
- type: nauc_precision_at_1_diff1 |
|
value: 17.117727049808984 |
|
- type: nauc_precision_at_1_max |
|
value: -18.587242049712614 |
|
- type: nauc_precision_at_1_std |
|
value: -22.454707653498595 |
|
- type: nauc_precision_at_20_diff1 |
|
value: -1.0298881487766305 |
|
- type: nauc_precision_at_20_max |
|
value: -4.548017977674335 |
|
- type: nauc_precision_at_20_std |
|
value: -18.901496352112133 |
|
- type: nauc_precision_at_3_diff1 |
|
value: 12.350178962124566 |
|
- type: nauc_precision_at_3_max |
|
value: -10.271126387937858 |
|
- type: nauc_precision_at_3_std |
|
value: -21.655307623793433 |
|
- type: nauc_precision_at_5_diff1 |
|
value: 6.011571432832696 |
|
- type: nauc_precision_at_5_max |
|
value: -12.478026665421389 |
|
- type: nauc_precision_at_5_std |
|
value: -19.845124181363882 |
|
- type: nauc_recall_at_1000_diff1 |
|
value: 1.7151819945236155 |
|
- type: nauc_recall_at_1000_max |
|
value: 20.855460490135933 |
|
- type: nauc_recall_at_1000_std |
|
value: 77.35518841335626 |
|
- type: nauc_recall_at_100_diff1 |
|
value: -7.961881099020542 |
|
- type: nauc_recall_at_100_max |
|
value: -1.8225484680932273 |
|
- type: nauc_recall_at_100_std |
|
value: 35.48444910942399 |
|
- type: nauc_recall_at_10_diff1 |
|
value: 0.46638305609538805 |
|
- type: nauc_recall_at_10_max |
|
value: -11.023993018739322 |
|
- type: nauc_recall_at_10_std |
|
value: -19.11158461603798 |
|
- type: nauc_recall_at_1_diff1 |
|
value: 17.117727049808984 |
|
- type: nauc_recall_at_1_max |
|
value: -18.587242049712614 |
|
- type: nauc_recall_at_1_std |
|
value: -22.454707653498595 |
|
- type: nauc_recall_at_20_diff1 |
|
value: -1.029888148776229 |
|
- type: nauc_recall_at_20_max |
|
value: -4.548017977673906 |
|
- type: nauc_recall_at_20_std |
|
value: -18.901496352110804 |
|
- type: nauc_recall_at_3_diff1 |
|
value: 12.350178962124682 |
|
- type: nauc_recall_at_3_max |
|
value: -10.271126387937805 |
|
- type: nauc_recall_at_3_std |
|
value: -21.65530762379337 |
|
- type: nauc_recall_at_5_diff1 |
|
value: 6.0115714328326435 |
|
- type: nauc_recall_at_5_max |
|
value: -12.478026665421405 |
|
- type: nauc_recall_at_5_std |
|
value: -19.845124181363875 |
|
- type: ndcg_at_1 |
|
value: 41.536 |
|
- type: ndcg_at_10 |
|
value: 65.623 |
|
- type: ndcg_at_100 |
|
value: 67.63 |
|
- type: ndcg_at_1000 |
|
value: 67.64099999999999 |
|
- type: ndcg_at_20 |
|
value: 67.241 |
|
- type: ndcg_at_3 |
|
value: 57.048 |
|
- type: ndcg_at_5 |
|
value: 61.678999999999995 |
|
- type: precision_at_1 |
|
value: 41.536 |
|
- type: precision_at_10 |
|
value: 9.132 |
|
- type: precision_at_100 |
|
value: 0.996 |
|
- type: precision_at_1000 |
|
value: 0.1 |
|
- type: precision_at_20 |
|
value: 4.8759999999999994 |
|
- type: precision_at_3 |
|
value: 22.641 |
|
- type: precision_at_5 |
|
value: 15.845999999999998 |
|
- type: recall_at_1 |
|
value: 41.536 |
|
- type: recall_at_10 |
|
value: 91.323 |
|
- type: recall_at_100 |
|
value: 99.57300000000001 |
|
- type: recall_at_1000 |
|
value: 99.644 |
|
- type: recall_at_20 |
|
value: 97.51100000000001 |
|
- type: recall_at_3 |
|
value: 67.923 |
|
- type: recall_at_5 |
|
value: 79.232 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ArxivClusteringP2P |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
split: test |
|
type: mteb/arxiv-clustering-p2p |
|
metrics: |
|
- type: main_score |
|
value: 52.026635060007244 |
|
- type: v_measure |
|
value: 52.026635060007244 |
|
- type: v_measure_std |
|
value: 14.357137408692006 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB ArxivClusteringS2S |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
split: test |
|
type: mteb/arxiv-clustering-s2s |
|
metrics: |
|
- type: main_score |
|
value: 47.834914950269855 |
|
- type: v_measure |
|
value: 47.834914950269855 |
|
- type: v_measure_std |
|
value: 14.487028918517247 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB AskUbuntuDupQuestions |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
split: test |
|
type: mteb/askubuntudupquestions-reranking |
|
metrics: |
|
- type: main_score |
|
value: 64.5808745066313 |
|
- type: map |
|
value: 64.5808745066313 |
|
- type: mrr |
|
value: 77.56540473991997 |
|
- type: nAUC_map_diff1 |
|
value: 23.168800779252464 |
|
- type: nAUC_map_max |
|
value: 30.342203769599735 |
|
- type: nAUC_map_std |
|
value: 22.562701982176833 |
|
- type: nAUC_mrr_diff1 |
|
value: 27.79261544540621 |
|
- type: nAUC_mrr_max |
|
value: 43.302228243606045 |
|
- type: nAUC_mrr_std |
|
value: 26.432985515912673 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB BIOSSES |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
split: test |
|
type: mteb/biosses-sts |
|
metrics: |
|
- type: cosine_pearson |
|
value: 87.97778619889539 |
|
- type: cosine_spearman |
|
value: 86.44233109293758 |
|
- type: euclidean_pearson |
|
value: 86.6664224630525 |
|
- type: euclidean_spearman |
|
value: 86.44233109293758 |
|
- type: main_score |
|
value: 86.44233109293758 |
|
- type: manhattan_pearson |
|
value: 86.75174487553707 |
|
- type: manhattan_spearman |
|
value: 86.61402175201368 |
|
- type: pearson |
|
value: 87.97778619889539 |
|
- type: spearman |
|
value: 86.44233109293758 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB Banking77Classification |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
split: test |
|
type: mteb/banking77 |
|
metrics: |
|
- type: accuracy |
|
value: 83.1103896103896 |
|
- type: f1 |
|
value: 82.2932953112279 |
|
- type: f1_weighted |
|
value: 82.2932953112279 |
|
- type: main_score |
|
value: 83.1103896103896 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB BiorxivClusteringP2P |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
split: test |
|
type: mteb/biorxiv-clustering-p2p |
|
metrics: |
|
- type: main_score |
|
value: 43.73746639290943 |
|
- type: v_measure |
|
value: 43.73746639290943 |
|
- type: v_measure_std |
|
value: 0.8808902310879784 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB BiorxivClusteringS2S |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
split: test |
|
type: mteb/biorxiv-clustering-s2s |
|
metrics: |
|
- type: main_score |
|
value: 40.73737737926463 |
|
- type: v_measure |
|
value: 40.73737737926463 |
|
- type: v_measure_std |
|
value: 0.6059982328960863 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackRetrieval |
|
revision: 46989137a86843e03a6195de44b09deda022eec7 |
|
split: test |
|
type: CQADupstackRetrieval_is_a_combined_dataset |
|
metrics: |
|
- type: main_score |
|
value: 48.852333333333334 |
|
- type: ndcg_at_10 |
|
value: 48.852333333333334 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ClimateFEVER |
|
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 |
|
split: test |
|
type: mteb/climate-fever |
|
metrics: |
|
- type: main_score |
|
value: 42.047000000000004 |
|
- type: map_at_1 |
|
value: 18.269 |
|
- type: map_at_10 |
|
value: 31.691999999999997 |
|
- type: map_at_100 |
|
value: 33.841 |
|
- type: map_at_1000 |
|
value: 34.009 |
|
- type: map_at_20 |
|
value: 32.885999999999996 |
|
- type: map_at_3 |
|
value: 26.558999999999997 |
|
- type: map_at_5 |
|
value: 29.119 |
|
- type: mrr_at_1 |
|
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task: |
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type: Retrieval |
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- dataset: |
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config: default |
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name: MTEB DBPedia |
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revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 |
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split: test |
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type: mteb/dbpedia |
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|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB EmotionClassification |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
split: test |
|
type: mteb/emotion |
|
metrics: |
|
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value: 57.715 |
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task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB FEVER |
|
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 |
|
split: test |
|
type: mteb/fever |
|
metrics: |
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- type: ndcg_at_100 |
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- type: ndcg_at_1000 |
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- type: recall_at_1 |
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- type: recall_at_10 |
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- type: recall_at_100 |
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- type: recall_at_1000 |
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- type: recall_at_3 |
|
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- type: recall_at_5 |
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|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB FiQA2018 |
|
revision: 27a168819829fe9bcd655c2df245fb19452e8e06 |
|
split: test |
|
type: mteb/fiqa |
|
metrics: |
|
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task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB HotpotQA |
|
revision: ab518f4d6fcca38d87c25209f94beba119d02014 |
|
split: test |
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type: mteb/hotpotqa |
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- type: recall_at_1 |
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- type: recall_at_10 |
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- type: recall_at_100 |
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- type: recall_at_3 |
|
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- type: recall_at_5 |
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value: 79.365 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ImdbClassification |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
split: test |
|
type: mteb/imdb |
|
metrics: |
|
- type: accuracy |
|
value: 95.50119999999997 |
|
- type: ap |
|
value: 93.27855740989341 |
|
- type: ap_weighted |
|
value: 93.27855740989341 |
|
- type: f1 |
|
value: 95.49922732391366 |
|
- type: f1_weighted |
|
value: 95.49922732391366 |
|
- type: main_score |
|
value: 95.50119999999997 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB MSMARCO |
|
revision: c5a29a104738b98a9e76336939199e264163d4a0 |
|
split: dev |
|
type: mteb/msmarco |
|
metrics: |
|
- type: main_score |
|
value: 44.181 |
|
- type: map_at_1 |
|
value: 24.3 |
|
- type: map_at_10 |
|
value: 37.064 |
|
- type: map_at_100 |
|
value: 38.217 |
|
- type: map_at_1000 |
|
value: 38.261 |
|
- type: map_at_20 |
|
value: 37.797 |
|
- type: map_at_3 |
|
value: 33.03 |
|
- type: map_at_5 |
|
value: 35.382000000000005 |
|
- type: mrr_at_1 |
|
value: 25.014326647564474 |
|
- type: mrr_at_10 |
|
value: 37.67002092145362 |
|
- type: mrr_at_100 |
|
value: 38.76618716955713 |
|
- type: mrr_at_1000 |
|
value: 38.803895343578624 |
|
- type: mrr_at_20 |
|
value: 38.372875531879025 |
|
- type: mrr_at_3 |
|
value: 33.74164278892073 |
|
- type: mrr_at_5 |
|
value: 36.04250238777461 |
|
- type: nauc_map_at_1000_diff1 |
|
value: 37.38914109165067 |
|
- type: nauc_map_at_1000_max |
|
value: 9.290439022090213 |
|
- type: nauc_map_at_1000_std |
|
value: -17.68507604596775 |
|
- type: nauc_map_at_100_diff1 |
|
value: 37.3858106261435 |
|
- type: nauc_map_at_100_max |
|
value: 9.292194370842791 |
|
- type: nauc_map_at_100_std |
|
value: -17.6461510679294 |
|
- type: nauc_map_at_10_diff1 |
|
value: 37.24355836056403 |
|
- type: nauc_map_at_10_max |
|
value: 9.19029394636661 |
|
- type: nauc_map_at_10_std |
|
value: -18.216369315567626 |
|
- type: nauc_map_at_1_diff1 |
|
value: 40.298938486026984 |
|
- type: nauc_map_at_1_max |
|
value: 8.149499405622326 |
|
- type: nauc_map_at_1_std |
|
value: -17.09168853307602 |
|
- type: nauc_map_at_20_diff1 |
|
value: 37.344123641575216 |
|
- type: nauc_map_at_20_max |
|
value: 9.24559383901809 |
|
- type: nauc_map_at_20_std |
|
value: -17.842740773642962 |
|
- type: nauc_map_at_3_diff1 |
|
value: 37.4023127968177 |
|
- type: nauc_map_at_3_max |
|
value: 8.930674077317596 |
|
- type: nauc_map_at_3_std |
|
value: -18.68520909934096 |
|
- type: nauc_map_at_5_diff1 |
|
value: 37.12600186091895 |
|
- type: nauc_map_at_5_max |
|
value: 9.173506919924861 |
|
- type: nauc_map_at_5_std |
|
value: -18.625677130615294 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 37.34256456294692 |
|
- type: nauc_mrr_at_1000_max |
|
value: 9.276741130450404 |
|
- type: nauc_mrr_at_1000_std |
|
value: -17.41693013754444 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: 37.33775949993714 |
|
- type: nauc_mrr_at_100_max |
|
value: 9.28051163202218 |
|
- type: nauc_mrr_at_100_std |
|
value: -17.381741706111445 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: 37.21506505847139 |
|
- type: nauc_mrr_at_10_max |
|
value: 9.200324529184542 |
|
- type: nauc_mrr_at_10_std |
|
value: -17.904321523440817 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: 40.314678345050915 |
|
- type: nauc_mrr_at_1_max |
|
value: 8.193685362111243 |
|
- type: nauc_mrr_at_1_std |
|
value: -17.096535887474175 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: 37.293746882874004 |
|
- type: nauc_mrr_at_20_max |
|
value: 9.256273923676206 |
|
- type: nauc_mrr_at_20_std |
|
value: -17.528338232043577 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: 37.254812254578376 |
|
- type: nauc_mrr_at_3_max |
|
value: 8.903676300128614 |
|
- type: nauc_mrr_at_3_std |
|
value: -18.49940979312031 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 37.08969825523026 |
|
- type: nauc_mrr_at_5_max |
|
value: 9.194982897416688 |
|
- type: nauc_mrr_at_5_std |
|
value: -18.291840579141315 |
|
- type: nauc_ndcg_at_1000_diff1 |
|
value: 36.930810397557096 |
|
- type: nauc_ndcg_at_1000_max |
|
value: 9.8356345032183 |
|
- type: nauc_ndcg_at_1000_std |
|
value: -16.308145152943887 |
|
- type: nauc_ndcg_at_100_diff1 |
|
value: 36.901149744427414 |
|
- type: nauc_ndcg_at_100_max |
|
value: 9.96065454342114 |
|
- type: nauc_ndcg_at_100_std |
|
value: -14.983815239399584 |
|
- type: nauc_ndcg_at_10_diff1 |
|
value: 36.441571794416724 |
|
- type: nauc_ndcg_at_10_max |
|
value: 9.57337658776914 |
|
- type: nauc_ndcg_at_10_std |
|
value: -17.88037638294921 |
|
- type: nauc_ndcg_at_1_diff1 |
|
value: 40.314678345050915 |
|
- type: nauc_ndcg_at_1_max |
|
value: 8.193685362111243 |
|
- type: nauc_ndcg_at_1_std |
|
value: -17.096535887474175 |
|
- type: nauc_ndcg_at_20_diff1 |
|
value: 36.775334219857484 |
|
- type: nauc_ndcg_at_20_max |
|
value: 9.789544462660507 |
|
- type: nauc_ndcg_at_20_std |
|
value: -16.465733594062474 |
|
- type: nauc_ndcg_at_3_diff1 |
|
value: 36.58838956901628 |
|
- type: nauc_ndcg_at_3_max |
|
value: 9.089768089567865 |
|
- type: nauc_ndcg_at_3_std |
|
value: -19.12823913473232 |
|
- type: nauc_ndcg_at_5_diff1 |
|
value: 36.147729725463364 |
|
- type: nauc_ndcg_at_5_max |
|
value: 9.53707003144017 |
|
- type: nauc_ndcg_at_5_std |
|
value: -18.91372487441106 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: -6.013504255890098 |
|
- type: nauc_precision_at_1000_max |
|
value: 6.319348588937731 |
|
- type: nauc_precision_at_1000_std |
|
value: 6.360339202992953 |
|
- type: nauc_precision_at_100_diff1 |
|
value: 14.846649240680357 |
|
- type: nauc_precision_at_100_max |
|
value: 11.751644343520605 |
|
- type: nauc_precision_at_100_std |
|
value: 16.881205928162444 |
|
- type: nauc_precision_at_10_diff1 |
|
value: 30.328513184776966 |
|
- type: nauc_precision_at_10_max |
|
value: 9.988509735977631 |
|
- type: nauc_precision_at_10_std |
|
value: -15.609966599969837 |
|
- type: nauc_precision_at_1_diff1 |
|
value: 40.314678345050915 |
|
- type: nauc_precision_at_1_max |
|
value: 8.193685362111243 |
|
- type: nauc_precision_at_1_std |
|
value: -17.096535887474175 |
|
- type: nauc_precision_at_20_diff1 |
|
value: 28.248245250811543 |
|
- type: nauc_precision_at_20_max |
|
value: 10.953279209883918 |
|
- type: nauc_precision_at_20_std |
|
value: -7.365540710727016 |
|
- type: nauc_precision_at_3_diff1 |
|
value: 33.6150964111514 |
|
- type: nauc_precision_at_3_max |
|
value: 9.216455510763346 |
|
- type: nauc_precision_at_3_std |
|
value: -20.45932513010908 |
|
- type: nauc_precision_at_5_diff1 |
|
value: 31.518755311864705 |
|
- type: nauc_precision_at_5_max |
|
value: 10.019710006442747 |
|
- type: nauc_precision_at_5_std |
|
value: -19.740528698385468 |
|
- type: nauc_recall_at_1000_diff1 |
|
value: 12.207155589507542 |
|
- type: nauc_recall_at_1000_max |
|
value: 39.3447783153665 |
|
- type: nauc_recall_at_1000_std |
|
value: 74.60352827999826 |
|
- type: nauc_recall_at_100_diff1 |
|
value: 32.993666280768615 |
|
- type: nauc_recall_at_100_max |
|
value: 16.487188889720816 |
|
- type: nauc_recall_at_100_std |
|
value: 26.828206265371275 |
|
- type: nauc_recall_at_10_diff1 |
|
value: 33.65453771237772 |
|
- type: nauc_recall_at_10_max |
|
value: 10.71869814574723 |
|
- type: nauc_recall_at_10_std |
|
value: -16.27859785753318 |
|
- type: nauc_recall_at_1_diff1 |
|
value: 40.298938486026984 |
|
- type: nauc_recall_at_1_max |
|
value: 8.149499405622326 |
|
- type: nauc_recall_at_1_std |
|
value: -17.09168853307602 |
|
- type: nauc_recall_at_20_diff1 |
|
value: 34.60034971417269 |
|
- type: nauc_recall_at_20_max |
|
value: 12.076871992384788 |
|
- type: nauc_recall_at_20_std |
|
value: -8.224571589978806 |
|
- type: nauc_recall_at_3_diff1 |
|
value: 34.24661417034744 |
|
- type: nauc_recall_at_3_max |
|
value: 9.464103325281997 |
|
- type: nauc_recall_at_3_std |
|
value: -20.329748455626195 |
|
- type: nauc_recall_at_5_diff1 |
|
value: 33.042225241281585 |
|
- type: nauc_recall_at_5_max |
|
value: 10.486814885646142 |
|
- type: nauc_recall_at_5_std |
|
value: -19.7259662900716 |
|
- type: ndcg_at_1 |
|
value: 25.013999999999996 |
|
- type: ndcg_at_10 |
|
value: 44.181 |
|
- type: ndcg_at_100 |
|
value: 49.673 |
|
- type: ndcg_at_1000 |
|
value: 50.705999999999996 |
|
- type: ndcg_at_20 |
|
value: 46.798 |
|
- type: ndcg_at_3 |
|
value: 36.037 |
|
- type: ndcg_at_5 |
|
value: 40.214 |
|
- type: precision_at_1 |
|
value: 25.013999999999996 |
|
- type: precision_at_10 |
|
value: 6.9110000000000005 |
|
- type: precision_at_100 |
|
value: 0.9650000000000001 |
|
- type: precision_at_1000 |
|
value: 0.105 |
|
- type: precision_at_20 |
|
value: 4.004 |
|
- type: precision_at_3 |
|
value: 15.238999999999999 |
|
- type: precision_at_5 |
|
value: 11.264000000000001 |
|
- type: recall_at_1 |
|
value: 24.3 |
|
- type: recall_at_10 |
|
value: 66.06400000000001 |
|
- type: recall_at_100 |
|
value: 91.291 |
|
- type: recall_at_1000 |
|
value: 99.054 |
|
- type: recall_at_20 |
|
value: 76.25699999999999 |
|
- type: recall_at_3 |
|
value: 44.039 |
|
- type: recall_at_5 |
|
value: 54.053 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: en |
|
name: MTEB MTOPDomainClassification (en) |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
split: test |
|
type: mteb/mtop_domain |
|
metrics: |
|
- type: accuracy |
|
value: 96.35430916552667 |
|
- type: f1 |
|
value: 96.16669219074517 |
|
- type: f1_weighted |
|
value: 96.35506582065435 |
|
- type: main_score |
|
value: 96.35430916552667 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: en |
|
name: MTEB MTOPIntentClassification (en) |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
split: test |
|
type: mteb/mtop_intent |
|
metrics: |
|
- type: accuracy |
|
value: 80.51527587779297 |
|
- type: f1 |
|
value: 59.350461259612345 |
|
- type: f1_weighted |
|
value: 81.51891267687044 |
|
- type: main_score |
|
value: 80.51527587779297 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: en |
|
name: MTEB MassiveIntentClassification (en) |
|
revision: 4672e20407010da34463acc759c162ca9734bca6 |
|
split: test |
|
type: mteb/amazon_massive_intent |
|
metrics: |
|
- type: accuracy |
|
value: 77.31338264963013 |
|
- type: f1 |
|
value: 75.29547524788576 |
|
- type: f1_weighted |
|
value: 76.26831259224058 |
|
- type: main_score |
|
value: 77.31338264963013 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: en |
|
name: MTEB MassiveScenarioClassification (en) |
|
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8 |
|
split: test |
|
type: mteb/amazon_massive_scenario |
|
metrics: |
|
- type: accuracy |
|
value: 79.97982515131137 |
|
- type: f1 |
|
value: 79.34057805450769 |
|
- type: f1_weighted |
|
value: 79.73023446597212 |
|
- type: main_score |
|
value: 79.97982515131137 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB MedrxivClusteringP2P |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
split: test |
|
type: mteb/medrxiv-clustering-p2p |
|
metrics: |
|
- type: main_score |
|
value: 38.37635785818304 |
|
- type: v_measure |
|
value: 38.37635785818304 |
|
- type: v_measure_std |
|
value: 1.6943794496059137 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB MedrxivClusteringS2S |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
split: test |
|
type: mteb/medrxiv-clustering-s2s |
|
metrics: |
|
- type: main_score |
|
value: 37.6711034083755 |
|
- type: v_measure |
|
value: 37.6711034083755 |
|
- type: v_measure_std |
|
value: 1.1408887612104992 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB MindSmallReranking |
|
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7 |
|
split: test |
|
type: mteb/mind_small |
|
metrics: |
|
- type: main_score |
|
value: 32.20170969306457 |
|
- type: map |
|
value: 32.20170969306457 |
|
- type: mrr |
|
value: 33.41738896071552 |
|
- type: nAUC_map_diff1 |
|
value: 12.077124363492512 |
|
- type: nAUC_map_max |
|
value: -20.336429990396454 |
|
- type: nAUC_map_std |
|
value: 0.10724031251638018 |
|
- type: nAUC_mrr_diff1 |
|
value: 11.405695518900744 |
|
- type: nAUC_mrr_max |
|
value: -15.0727490448132 |
|
- type: nAUC_mrr_std |
|
value: 1.8987958512727106 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB NFCorpus |
|
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 |
|
split: test |
|
type: mteb/nfcorpus |
|
metrics: |
|
- type: main_score |
|
value: 40.463 |
|
- type: map_at_1 |
|
value: 6.4990000000000006 |
|
- type: map_at_10 |
|
value: 15.699 |
|
- type: map_at_100 |
|
value: 19.895 |
|
- type: map_at_1000 |
|
value: 21.537 |
|
- type: map_at_20 |
|
value: 17.429 |
|
- type: map_at_3 |
|
value: 11.48 |
|
- type: map_at_5 |
|
value: 13.383999999999999 |
|
- type: mrr_at_1 |
|
value: 52.63157894736842 |
|
- type: mrr_at_10 |
|
value: 61.60401002506265 |
|
- type: mrr_at_100 |
|
value: 62.04336653809741 |
|
- type: mrr_at_1000 |
|
value: 62.07610833363911 |
|
- type: mrr_at_20 |
|
value: 61.88033067968176 |
|
- type: mrr_at_3 |
|
value: 59.44272445820435 |
|
- type: mrr_at_5 |
|
value: 60.89783281733746 |
|
- type: nauc_map_at_1000_diff1 |
|
value: 18.58585974547791 |
|
- type: nauc_map_at_1000_max |
|
value: 30.25465935470905 |
|
- type: nauc_map_at_1000_std |
|
value: 10.987080017051682 |
|
- type: nauc_map_at_100_diff1 |
|
value: 20.02651798573329 |
|
- type: nauc_map_at_100_max |
|
value: 30.108719787095467 |
|
- type: nauc_map_at_100_std |
|
value: 7.882019722247158 |
|
- type: nauc_map_at_10_diff1 |
|
value: 23.02800157136177 |
|
- type: nauc_map_at_10_max |
|
value: 22.8723397741279 |
|
- type: nauc_map_at_10_std |
|
value: -3.762893117006399 |
|
- type: nauc_map_at_1_diff1 |
|
value: 37.94611136294878 |
|
- type: nauc_map_at_1_max |
|
value: 7.297492349938244 |
|
- type: nauc_map_at_1_std |
|
value: -17.813930346562152 |
|
- type: nauc_map_at_20_diff1 |
|
value: 21.981440837881113 |
|
- type: nauc_map_at_20_max |
|
value: 26.759497880383837 |
|
- type: nauc_map_at_20_std |
|
value: 0.18040330674839283 |
|
- type: nauc_map_at_3_diff1 |
|
value: 27.066009968256555 |
|
- type: nauc_map_at_3_max |
|
value: 10.488797596450187 |
|
- type: nauc_map_at_3_std |
|
value: -14.013059830876845 |
|
- type: nauc_map_at_5_diff1 |
|
value: 25.493785001708446 |
|
- type: nauc_map_at_5_max |
|
value: 16.217756878539337 |
|
- type: nauc_map_at_5_std |
|
value: -10.714238788014212 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 28.488264933723528 |
|
- type: nauc_mrr_at_1000_max |
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task: |
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type: Retrieval |
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config: default |
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name: MTEB NQ |
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value: 1.2 |
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task: |
|
type: Retrieval |
|
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|
config: default |
|
name: MTEB QuoraRetrieval |
|
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259 |
|
split: test |
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type: mteb/quora |
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- type: ndcg_at_100 |
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- type: ndcg_at_1000 |
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- type: precision_at_1 |
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- type: precision_at_5 |
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- type: recall_at_1 |
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- type: recall_at_10 |
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- type: recall_at_100 |
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- type: recall_at_1000 |
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- type: recall_at_20 |
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- type: recall_at_3 |
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- type: recall_at_5 |
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|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB RedditClustering |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
split: test |
|
type: mteb/reddit-clustering |
|
metrics: |
|
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|
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task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB RedditClusteringP2P |
|
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33 |
|
split: test |
|
type: mteb/reddit-clustering-p2p |
|
metrics: |
|
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|
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|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB SCIDOCS |
|
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88 |
|
split: test |
|
type: mteb/scidocs |
|
metrics: |
|
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- type: nauc_ndcg_at_20_std |
|
value: 10.587157641309098 |
|
- type: nauc_ndcg_at_3_diff1 |
|
value: 19.093302254257377 |
|
- type: nauc_ndcg_at_3_max |
|
value: 21.33725971448413 |
|
- type: nauc_ndcg_at_3_std |
|
value: 2.549021710462978 |
|
- type: nauc_ndcg_at_5_diff1 |
|
value: 19.495189389728836 |
|
- type: nauc_ndcg_at_5_max |
|
value: 24.21965138651894 |
|
- type: nauc_ndcg_at_5_std |
|
value: 5.549408503444251 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: 7.4232833098081565 |
|
- type: nauc_precision_at_1000_max |
|
value: 25.24619675919913 |
|
- type: nauc_precision_at_1000_std |
|
value: 32.79744946411614 |
|
- type: nauc_precision_at_100_diff1 |
|
value: 10.550449529674747 |
|
- type: nauc_precision_at_100_max |
|
value: 25.652112631579726 |
|
- type: nauc_precision_at_100_std |
|
value: 26.65722909800614 |
|
- type: nauc_precision_at_10_diff1 |
|
value: 11.195653785882708 |
|
- type: nauc_precision_at_10_max |
|
value: 26.469986306854977 |
|
- type: nauc_precision_at_10_std |
|
value: 14.05089697514966 |
|
- type: nauc_precision_at_1_diff1 |
|
value: 24.868548821073084 |
|
- type: nauc_precision_at_1_max |
|
value: 16.189915011439044 |
|
- type: nauc_precision_at_1_std |
|
value: -0.17692171251799987 |
|
- type: nauc_precision_at_20_diff1 |
|
value: 11.16738184991032 |
|
- type: nauc_precision_at_20_max |
|
value: 26.53741675130711 |
|
- type: nauc_precision_at_20_std |
|
value: 16.250110771034542 |
|
- type: nauc_precision_at_3_diff1 |
|
value: 16.917872510926284 |
|
- type: nauc_precision_at_3_max |
|
value: 23.22094310791854 |
|
- type: nauc_precision_at_3_std |
|
value: 3.9255078517383906 |
|
- type: nauc_precision_at_5_diff1 |
|
value: 16.898056883587824 |
|
- type: nauc_precision_at_5_max |
|
value: 27.39457295203392 |
|
- type: nauc_precision_at_5_std |
|
value: 8.924759582566171 |
|
- type: nauc_recall_at_1000_diff1 |
|
value: 7.516072705946253 |
|
- type: nauc_recall_at_1000_max |
|
value: 25.001682297424594 |
|
- type: nauc_recall_at_1000_std |
|
value: 33.86296283879721 |
|
- type: nauc_recall_at_100_diff1 |
|
value: 10.435705067998168 |
|
- type: nauc_recall_at_100_max |
|
value: 25.31622603650995 |
|
- type: nauc_recall_at_100_std |
|
value: 26.758897185352097 |
|
- type: nauc_recall_at_10_diff1 |
|
value: 11.110953419292343 |
|
- type: nauc_recall_at_10_max |
|
value: 25.970593144433085 |
|
- type: nauc_recall_at_10_std |
|
value: 13.92252981022314 |
|
- type: nauc_recall_at_1_diff1 |
|
value: 24.9292922418417 |
|
- type: nauc_recall_at_1_max |
|
value: 15.49253311874767 |
|
- type: nauc_recall_at_1_std |
|
value: -0.4754734108717385 |
|
- type: nauc_recall_at_20_diff1 |
|
value: 11.050515317424548 |
|
- type: nauc_recall_at_20_max |
|
value: 26.068866115743134 |
|
- type: nauc_recall_at_20_std |
|
value: 16.13787216291987 |
|
- type: nauc_recall_at_3_diff1 |
|
value: 17.013383740580203 |
|
- type: nauc_recall_at_3_max |
|
value: 22.49105285578937 |
|
- type: nauc_recall_at_3_std |
|
value: 3.5741090487413687 |
|
- type: nauc_recall_at_5_diff1 |
|
value: 16.973540662242602 |
|
- type: nauc_recall_at_5_max |
|
value: 26.78087164318061 |
|
- type: nauc_recall_at_5_std |
|
value: 8.68040862354009 |
|
- type: ndcg_at_1 |
|
value: 23.799999999999997 |
|
- type: ndcg_at_10 |
|
value: 20.86 |
|
- type: ndcg_at_100 |
|
value: 29.145 |
|
- type: ndcg_at_1000 |
|
value: 34.518 |
|
- type: ndcg_at_20 |
|
value: 23.892 |
|
- type: ndcg_at_3 |
|
value: 19.541 |
|
- type: ndcg_at_5 |
|
value: 17.166999999999998 |
|
- type: precision_at_1 |
|
value: 23.799999999999997 |
|
- type: precision_at_10 |
|
value: 10.9 |
|
- type: precision_at_100 |
|
value: 2.281 |
|
- type: precision_at_1000 |
|
value: 0.357 |
|
- type: precision_at_20 |
|
value: 7.21 |
|
- type: precision_at_3 |
|
value: 18.3 |
|
- type: precision_at_5 |
|
value: 15.120000000000001 |
|
- type: recall_at_1 |
|
value: 4.843 |
|
- type: recall_at_10 |
|
value: 22.12 |
|
- type: recall_at_100 |
|
value: 46.257 |
|
- type: recall_at_1000 |
|
value: 72.382 |
|
- type: recall_at_20 |
|
value: 29.253 |
|
- type: recall_at_3 |
|
value: 11.158 |
|
- type: recall_at_5 |
|
value: 15.347 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB SICK-R |
|
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d |
|
split: test |
|
type: mteb/sickr-sts |
|
metrics: |
|
- type: cosine_pearson |
|
value: 85.65467419133347 |
|
- type: cosine_spearman |
|
value: 81.88046945336663 |
|
- type: euclidean_pearson |
|
value: 82.82887106181879 |
|
- type: euclidean_spearman |
|
value: 81.88047605481775 |
|
- type: main_score |
|
value: 81.88046945336663 |
|
- type: manhattan_pearson |
|
value: 82.7839019603756 |
|
- type: manhattan_spearman |
|
value: 81.83505450284663 |
|
- type: pearson |
|
value: 85.65467419133347 |
|
- type: spearman |
|
value: 81.88046945336663 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS12 |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
split: test |
|
type: mteb/sts12-sts |
|
metrics: |
|
- type: cosine_pearson |
|
value: 85.8979872663498 |
|
- type: cosine_spearman |
|
value: 78.63991285161867 |
|
- type: euclidean_pearson |
|
value: 81.20243176386163 |
|
- type: euclidean_spearman |
|
value: 78.64021127260493 |
|
- type: main_score |
|
value: 78.63991285161867 |
|
- type: manhattan_pearson |
|
value: 81.58673652635328 |
|
- type: manhattan_spearman |
|
value: 79.03930665482164 |
|
- type: pearson |
|
value: 85.8979872663498 |
|
- type: spearman |
|
value: 78.63991285161867 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS13 |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
split: test |
|
type: mteb/sts13-sts |
|
metrics: |
|
- type: cosine_pearson |
|
value: 87.10598414063074 |
|
- type: cosine_spearman |
|
value: 87.12110799581852 |
|
- type: euclidean_pearson |
|
value: 86.52284239759508 |
|
- type: euclidean_spearman |
|
value: 87.12110799581852 |
|
- type: main_score |
|
value: 87.12110799581852 |
|
- type: manhattan_pearson |
|
value: 86.61105352996736 |
|
- type: manhattan_spearman |
|
value: 87.34100209521596 |
|
- type: pearson |
|
value: 87.10598414063074 |
|
- type: spearman |
|
value: 87.12110799581852 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS14 |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
split: test |
|
type: mteb/sts14-sts |
|
metrics: |
|
- type: cosine_pearson |
|
value: 85.66540041627184 |
|
- type: cosine_spearman |
|
value: 83.55263671417923 |
|
- type: euclidean_pearson |
|
value: 84.2332532036626 |
|
- type: euclidean_spearman |
|
value: 83.55264421653584 |
|
- type: main_score |
|
value: 83.55263671417923 |
|
- type: manhattan_pearson |
|
value: 84.14418954784165 |
|
- type: manhattan_spearman |
|
value: 83.58193360267302 |
|
- type: pearson |
|
value: 85.66540041627184 |
|
- type: spearman |
|
value: 83.55263671417923 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS15 |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
split: test |
|
type: mteb/sts15-sts |
|
metrics: |
|
- type: cosine_pearson |
|
value: 89.83404956912175 |
|
- type: cosine_spearman |
|
value: 90.09569633194636 |
|
- type: euclidean_pearson |
|
value: 89.31121256629982 |
|
- type: euclidean_spearman |
|
value: 90.09569632193572 |
|
- type: main_score |
|
value: 90.09569633194636 |
|
- type: manhattan_pearson |
|
value: 89.30064909066367 |
|
- type: manhattan_spearman |
|
value: 90.20232732019451 |
|
- type: pearson |
|
value: 89.83404956912175 |
|
- type: spearman |
|
value: 90.09569633194636 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS16 |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
split: test |
|
type: mteb/sts16-sts |
|
metrics: |
|
- type: cosine_pearson |
|
value: 86.27894370732598 |
|
- type: cosine_spearman |
|
value: 87.22000226558832 |
|
- type: euclidean_pearson |
|
value: 85.92822715155758 |
|
- type: euclidean_spearman |
|
value: 87.22000226558832 |
|
- type: main_score |
|
value: 87.22000226558832 |
|
- type: manhattan_pearson |
|
value: 85.9498561399522 |
|
- type: manhattan_spearman |
|
value: 87.28837300894288 |
|
- type: pearson |
|
value: 86.27894370732598 |
|
- type: spearman |
|
value: 87.22000226558832 |
|
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: 91.60185356782324 |
|
- type: cosine_spearman |
|
value: 91.43471625912765 |
|
- type: euclidean_pearson |
|
value: 91.52529087606635 |
|
- type: euclidean_spearman |
|
value: 91.43471625912765 |
|
- type: main_score |
|
value: 91.43471625912765 |
|
- type: manhattan_pearson |
|
value: 91.34917173506308 |
|
- type: manhattan_spearman |
|
value: 91.2112665439884 |
|
- type: pearson |
|
value: 91.60185356782324 |
|
- type: spearman |
|
value: 91.43471625912765 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: en |
|
name: MTEB STS22 (en) |
|
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 |
|
split: test |
|
type: mteb/sts22-crosslingual-sts |
|
metrics: |
|
- type: cosine_pearson |
|
value: 68.735098373629 |
|
- type: cosine_spearman |
|
value: 67.76156085991387 |
|
- type: euclidean_pearson |
|
value: 68.38053954511516 |
|
- type: euclidean_spearman |
|
value: 67.76156085991387 |
|
- type: main_score |
|
value: 67.76156085991387 |
|
- type: manhattan_pearson |
|
value: 68.4533080173714 |
|
- type: manhattan_spearman |
|
value: 67.76676959397871 |
|
- type: pearson |
|
value: 68.735098373629 |
|
- type: spearman |
|
value: 67.76156085991387 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STSBenchmark |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
split: test |
|
type: mteb/stsbenchmark-sts |
|
metrics: |
|
- type: cosine_pearson |
|
value: 87.63236624274985 |
|
- type: cosine_spearman |
|
value: 88.27561759951514 |
|
- type: euclidean_pearson |
|
value: 87.61137355553329 |
|
- type: euclidean_spearman |
|
value: 88.27561759951514 |
|
- type: main_score |
|
value: 88.27561759951514 |
|
- type: manhattan_pearson |
|
value: 87.63505381780153 |
|
- type: manhattan_spearman |
|
value: 88.41268943146845 |
|
- type: pearson |
|
value: 87.63236624274985 |
|
- type: spearman |
|
value: 88.27561759951514 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB SciDocsRR |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
split: test |
|
type: mteb/scidocs-reranking |
|
metrics: |
|
- type: main_score |
|
value: 85.16412972900244 |
|
- type: map |
|
value: 85.16412972900244 |
|
- type: mrr |
|
value: 96.15786628041529 |
|
- type: nAUC_map_diff1 |
|
value: -1.5068306084088756 |
|
- type: nAUC_map_max |
|
value: 48.81296049442589 |
|
- type: nAUC_map_std |
|
value: 65.0187132933644 |
|
- type: nAUC_mrr_diff1 |
|
value: 44.22872564939586 |
|
- type: nAUC_mrr_max |
|
value: 85.19719227096536 |
|
- type: nAUC_mrr_std |
|
value: 79.62669870868876 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB SciFact |
|
revision: 0228b52cf27578f30900b9e5271d331663a030d7 |
|
split: test |
|
type: mteb/scifact |
|
metrics: |
|
- type: main_score |
|
value: 77.377 |
|
- type: map_at_1 |
|
value: 62.217 |
|
- type: map_at_10 |
|
value: 73.115 |
|
- type: map_at_100 |
|
value: 73.63499999999999 |
|
- type: map_at_1000 |
|
value: 73.644 |
|
- type: map_at_20 |
|
value: 73.528 |
|
- type: map_at_3 |
|
value: 70.62 |
|
- type: map_at_5 |
|
value: 72.16 |
|
- type: mrr_at_1 |
|
value: 65.0 |
|
- type: mrr_at_10 |
|
value: 74.05542328042326 |
|
- type: mrr_at_100 |
|
value: 74.46295785951277 |
|
- type: mrr_at_1000 |
|
value: 74.47168088874803 |
|
- type: mrr_at_20 |
|
value: 74.35632423132421 |
|
- type: mrr_at_3 |
|
value: 72.55555555555556 |
|
- type: mrr_at_5 |
|
value: 73.38888888888887 |
|
- type: nauc_map_at_1000_diff1 |
|
value: 72.31754010838618 |
|
- type: nauc_map_at_1000_max |
|
value: 60.59518156728312 |
|
- type: nauc_map_at_1000_std |
|
value: -3.601504782295705 |
|
- type: nauc_map_at_100_diff1 |
|
value: 72.32057771059107 |
|
- type: nauc_map_at_100_max |
|
value: 60.60481879601873 |
|
- type: nauc_map_at_100_std |
|
value: -3.6030430073837167 |
|
- type: nauc_map_at_10_diff1 |
|
value: 72.15009895006031 |
|
- type: nauc_map_at_10_max |
|
value: 60.49958178006608 |
|
- type: nauc_map_at_10_std |
|
value: -4.305475753173601 |
|
- type: nauc_map_at_1_diff1 |
|
value: 76.32919417574946 |
|
- type: nauc_map_at_1_max |
|
value: 54.77358788281581 |
|
- type: nauc_map_at_1_std |
|
value: -9.773898055794557 |
|
- type: nauc_map_at_20_diff1 |
|
value: 72.15740734516393 |
|
- type: nauc_map_at_20_max |
|
value: 60.61318821265446 |
|
- type: nauc_map_at_20_std |
|
value: -3.6016854193910803 |
|
- type: nauc_map_at_3_diff1 |
|
value: 72.07435404889445 |
|
- type: nauc_map_at_3_max |
|
value: 56.93970890047747 |
|
- type: nauc_map_at_3_std |
|
value: -8.697324220121793 |
|
- type: nauc_map_at_5_diff1 |
|
value: 72.42599960854554 |
|
- type: nauc_map_at_5_max |
|
value: 60.12535137001906 |
|
- type: nauc_map_at_5_std |
|
value: -4.437892354037166 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 72.75103842052889 |
|
- type: nauc_mrr_at_1000_max |
|
value: 62.72341811793062 |
|
- type: nauc_mrr_at_1000_std |
|
value: -0.7759889099766357 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: 72.75396801842608 |
|
- type: nauc_mrr_at_100_max |
|
value: 62.73241247525427 |
|
- type: nauc_mrr_at_100_std |
|
value: -0.7786866224468205 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: 72.5942754009733 |
|
- type: nauc_mrr_at_10_max |
|
value: 62.895066542256664 |
|
- type: nauc_mrr_at_10_std |
|
value: -0.9018200301159104 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: 77.63311362465076 |
|
- type: nauc_mrr_at_1_max |
|
value: 62.42059294219759 |
|
- type: nauc_mrr_at_1_std |
|
value: -1.3182520953698476 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: 72.58522880943326 |
|
- type: nauc_mrr_at_20_max |
|
value: 62.73063935403417 |
|
- type: nauc_mrr_at_20_std |
|
value: -0.7910003366564456 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: 72.70751722757556 |
|
- type: nauc_mrr_at_3_max |
|
value: 62.38218933726893 |
|
- type: nauc_mrr_at_3_std |
|
value: -1.7126398606397155 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 72.57550761997256 |
|
- type: nauc_mrr_at_5_max |
|
value: 62.70945847818393 |
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task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB SprintDuplicateQuestions |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
split: test |
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type: mteb/sprintduplicatequestions-pairclassification |
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|
value: 99.8019801980198 |
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- type: cos_sim_ap |
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- type: max_accuracy |
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- type: max_ap |
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value: 95.43878917155146 |
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- type: max_f1 |
|
value: 90.0398406374502 |
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- type: main_score |
|
value: 95.43878917155146 |
|
task: |
|
type: PairClassification |
|
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|
config: default |
|
name: MTEB StackExchangeClustering |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
split: test |
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type: mteb/stackexchange-clustering |
|
metrics: |
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|
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|
- type: v_measure |
|
value: 75.91311883393888 |
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task: |
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type: Clustering |
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config: default |
|
name: MTEB StackExchangeClusteringP2P |
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revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
split: test |
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type: mteb/stackexchange-clustering-p2p |
|
metrics: |
|
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|
value: 47.171049215275694 |
|
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task: |
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type: Clustering |
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|
config: default |
|
name: MTEB StackOverflowDupQuestions |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
split: test |
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type: mteb/stackoverflowdupquestions-reranking |
|
metrics: |
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|
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task: |
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config: default |
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name: MTEB SummEval |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
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split: test |
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type: Summarization |
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config: default |
|
name: MTEB TRECCOVID |
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revision: bb9466bac8153a0349341eb1b22e06409e78ef4e |
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|
value: -6.060553984265031 |
|
- type: nauc_recall_at_10_std |
|
value: -3.0401474174665597 |
|
- type: nauc_recall_at_1_diff1 |
|
value: 26.134637426782753 |
|
- type: nauc_recall_at_1_max |
|
value: -3.108959317897608 |
|
- type: nauc_recall_at_1_std |
|
value: -5.781123480253076 |
|
- type: nauc_recall_at_20_diff1 |
|
value: 43.884440668985256 |
|
- type: nauc_recall_at_20_max |
|
value: -5.215456096089841 |
|
- type: nauc_recall_at_20_std |
|
value: 0.6346955652816175 |
|
- type: nauc_recall_at_3_diff1 |
|
value: 36.682959590903515 |
|
- type: nauc_recall_at_3_max |
|
value: -14.003318698999372 |
|
- type: nauc_recall_at_3_std |
|
value: -8.732791648435722 |
|
- type: nauc_recall_at_5_diff1 |
|
value: 37.55874033777468 |
|
- type: nauc_recall_at_5_max |
|
value: -11.475194910000303 |
|
- type: nauc_recall_at_5_std |
|
value: -8.24171387960509 |
|
- type: ndcg_at_1 |
|
value: 90.0 |
|
- type: ndcg_at_10 |
|
value: 83.67999999999999 |
|
- type: ndcg_at_100 |
|
value: 66.268 |
|
- type: ndcg_at_1000 |
|
value: 59.95700000000001 |
|
- type: ndcg_at_20 |
|
value: 80.41199999999999 |
|
- type: ndcg_at_3 |
|
value: 86.989 |
|
- type: ndcg_at_5 |
|
value: 85.60600000000001 |
|
- type: precision_at_1 |
|
value: 94.0 |
|
- type: precision_at_10 |
|
value: 87.0 |
|
- type: precision_at_100 |
|
value: 68.10000000000001 |
|
- type: precision_at_1000 |
|
value: 26.404 |
|
- type: precision_at_20 |
|
value: 83.7 |
|
- type: precision_at_3 |
|
value: 91.333 |
|
- type: precision_at_5 |
|
value: 89.60000000000001 |
|
- type: recall_at_1 |
|
value: 0.243 |
|
- type: recall_at_10 |
|
value: 2.307 |
|
- type: recall_at_100 |
|
value: 16.713 |
|
- type: recall_at_1000 |
|
value: 56.433 |
|
- type: recall_at_20 |
|
value: 4.3950000000000005 |
|
- type: recall_at_3 |
|
value: 0.721 |
|
- type: recall_at_5 |
|
value: 1.194 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB Touche2020 |
|
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f |
|
split: test |
|
type: mteb/touche2020 |
|
metrics: |
|
- type: main_score |
|
value: 27.095999999999997 |
|
- type: map_at_1 |
|
value: 2.708 |
|
- type: map_at_10 |
|
value: 10.926 |
|
- type: map_at_100 |
|
value: 17.023 |
|
- type: map_at_1000 |
|
value: 18.802 |
|
- type: map_at_20 |
|
value: 14.075 |
|
- type: map_at_3 |
|
value: 6.213 |
|
- type: map_at_5 |
|
value: 8.399 |
|
- type: mrr_at_1 |
|
value: 38.775510204081634 |
|
- type: mrr_at_10 |
|
value: 55.96938775510204 |
|
- type: mrr_at_100 |
|
value: 56.566806209663355 |
|
- type: mrr_at_1000 |
|
value: 56.586429443572314 |
|
- type: mrr_at_20 |
|
value: 56.566806209663355 |
|
- type: mrr_at_3 |
|
value: 53.06122448979592 |
|
- type: mrr_at_5 |
|
value: 54.48979591836734 |
|
- type: nauc_map_at_1000_diff1 |
|
value: -3.7447722422200505 |
|
- type: nauc_map_at_1000_max |
|
value: -21.154942580599432 |
|
- type: nauc_map_at_1000_std |
|
value: -3.3769353126366854 |
|
- type: nauc_map_at_100_diff1 |
|
value: -4.211734469956019 |
|
- type: nauc_map_at_100_max |
|
value: -20.97390043676955 |
|
- type: nauc_map_at_100_std |
|
value: -7.108253122379712 |
|
- type: nauc_map_at_10_diff1 |
|
value: -2.503617891657346 |
|
- type: nauc_map_at_10_max |
|
value: -19.76603379959943 |
|
- type: nauc_map_at_10_std |
|
value: -24.813694071646186 |
|
- type: nauc_map_at_1_diff1 |
|
value: -0.6946291628228135 |
|
- type: nauc_map_at_1_max |
|
value: -27.928780525228326 |
|
- type: nauc_map_at_1_std |
|
value: -26.644256007057386 |
|
- type: nauc_map_at_20_diff1 |
|
value: -8.140689983350077 |
|
- type: nauc_map_at_20_max |
|
value: -21.331762857202346 |
|
- type: nauc_map_at_20_std |
|
value: -18.46503512945984 |
|
- type: nauc_map_at_3_diff1 |
|
value: 1.4806459479634606 |
|
- type: nauc_map_at_3_max |
|
value: -20.57096686541149 |
|
- type: nauc_map_at_3_std |
|
value: -27.53855079505183 |
|
- type: nauc_map_at_5_diff1 |
|
value: -2.4911557022868833 |
|
- type: nauc_map_at_5_max |
|
value: -18.468614237544944 |
|
- type: nauc_map_at_5_std |
|
value: -27.422000270609885 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 0.5901324153382446 |
|
- type: nauc_mrr_at_1000_max |
|
value: -29.43201840557888 |
|
- type: nauc_mrr_at_1000_std |
|
value: -22.113570283308878 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: 0.6140852308779037 |
|
- type: nauc_mrr_at_100_max |
|
value: -29.423158073762274 |
|
- type: nauc_mrr_at_100_std |
|
value: -22.03830742373018 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: 1.4017303142295798 |
|
- type: nauc_mrr_at_10_max |
|
value: -29.96128226635445 |
|
- type: nauc_mrr_at_10_std |
|
value: -21.182800337655188 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: 2.9967188734445642 |
|
- type: nauc_mrr_at_1_max |
|
value: -28.076201809234135 |
|
- type: nauc_mrr_at_1_std |
|
value: -23.829475793931397 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: 0.6140852308779037 |
|
- type: nauc_mrr_at_20_max |
|
value: -29.423158073762274 |
|
- type: nauc_mrr_at_20_std |
|
value: -22.03830742373018 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: -1.7324100961545983 |
|
- type: nauc_mrr_at_3_max |
|
value: -31.25504536750873 |
|
- type: nauc_mrr_at_3_std |
|
value: -27.693245095141595 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 0.9366378266246876 |
|
- type: nauc_mrr_at_5_max |
|
value: -28.61911855691654 |
|
- type: nauc_mrr_at_5_std |
|
value: -23.51734198003236 |
|
- type: nauc_ndcg_at_1000_diff1 |
|
value: 5.589806586986813 |
|
- type: nauc_ndcg_at_1000_max |
|
value: -25.54091728191453 |
|
- type: nauc_ndcg_at_1000_std |
|
value: 18.867289766624364 |
|
- type: nauc_ndcg_at_100_diff1 |
|
value: 5.269555604924481 |
|
- type: nauc_ndcg_at_100_max |
|
value: -25.294068947248 |
|
- type: nauc_ndcg_at_100_std |
|
value: 12.57359579076201 |
|
- type: nauc_ndcg_at_10_diff1 |
|
value: -1.8036041625138828 |
|
- type: nauc_ndcg_at_10_max |
|
value: -23.89433650527811 |
|
- type: nauc_ndcg_at_10_std |
|
value: -18.669805340174104 |
|
- type: nauc_ndcg_at_1_diff1 |
|
value: 1.7320960153524356 |
|
- type: nauc_ndcg_at_1_max |
|
value: -30.98970297820504 |
|
- type: nauc_ndcg_at_1_std |
|
value: -22.039818727732 |
|
- type: nauc_ndcg_at_20_diff1 |
|
value: -7.71266194406333 |
|
- type: nauc_ndcg_at_20_max |
|
value: -28.764052281890564 |
|
- type: nauc_ndcg_at_20_std |
|
value: -14.058766573885803 |
|
- type: nauc_ndcg_at_3_diff1 |
|
value: 3.4222049394447023 |
|
- type: nauc_ndcg_at_3_max |
|
value: -23.010397388596147 |
|
- type: nauc_ndcg_at_3_std |
|
value: -23.917570461776442 |
|
- type: nauc_ndcg_at_5_diff1 |
|
value: 0.4359085390014115 |
|
- type: nauc_ndcg_at_5_max |
|
value: -18.328017574440583 |
|
- type: nauc_ndcg_at_5_std |
|
value: -22.301590122411703 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: 5.705380133328601 |
|
- type: nauc_precision_at_1000_max |
|
value: 29.738757046781583 |
|
- type: nauc_precision_at_1000_std |
|
value: 37.25317043193516 |
|
- type: nauc_precision_at_100_diff1 |
|
value: 18.099479915822755 |
|
- type: nauc_precision_at_100_max |
|
value: 1.039647603335084 |
|
- type: nauc_precision_at_100_std |
|
value: 68.43506311503532 |
|
- type: nauc_precision_at_10_diff1 |
|
value: 1.6010906915801002 |
|
- type: nauc_precision_at_10_max |
|
value: -16.21198992516715 |
|
- type: nauc_precision_at_10_std |
|
value: -10.55666484527 |
|
- type: nauc_precision_at_1_diff1 |
|
value: 2.9967188734445642 |
|
- type: nauc_precision_at_1_max |
|
value: -28.076201809234135 |
|
- type: nauc_precision_at_1_std |
|
value: -23.829475793931397 |
|
- type: nauc_precision_at_20_diff1 |
|
value: -9.646266503089361 |
|
- type: nauc_precision_at_20_max |
|
value: -19.25399592456934 |
|
- type: nauc_precision_at_20_std |
|
value: 4.154373672246843 |
|
- type: nauc_precision_at_3_diff1 |
|
value: 6.468923962729313 |
|
- type: nauc_precision_at_3_max |
|
value: -16.75495139962792 |
|
- type: nauc_precision_at_3_std |
|
value: -24.1555216494731 |
|
- type: nauc_precision_at_5_diff1 |
|
value: 1.89724542441865 |
|
- type: nauc_precision_at_5_max |
|
value: -10.916266272968988 |
|
- type: nauc_precision_at_5_std |
|
value: -19.996228467499165 |
|
- type: nauc_recall_at_1000_diff1 |
|
value: -0.3248897031222208 |
|
- type: nauc_recall_at_1000_max |
|
value: -25.08629526651275 |
|
- type: nauc_recall_at_1000_std |
|
value: 72.42326605733102 |
|
- type: nauc_recall_at_100_diff1 |
|
value: 0.20011224230233096 |
|
- type: nauc_recall_at_100_max |
|
value: -25.71382782994985 |
|
- type: nauc_recall_at_100_std |
|
value: 31.40559917674001 |
|
- type: nauc_recall_at_10_diff1 |
|
value: -7.502107897824034 |
|
- type: nauc_recall_at_10_max |
|
value: -26.197156105779833 |
|
- type: nauc_recall_at_10_std |
|
value: -20.067019662396106 |
|
- type: nauc_recall_at_1_diff1 |
|
value: -0.6946291628228135 |
|
- type: nauc_recall_at_1_max |
|
value: -27.928780525228326 |
|
- type: nauc_recall_at_1_std |
|
value: -26.644256007057386 |
|
- type: nauc_recall_at_20_diff1 |
|
value: -16.829462200879107 |
|
- type: nauc_recall_at_20_max |
|
value: -29.55978083865099 |
|
- type: nauc_recall_at_20_std |
|
value: -11.329177422867945 |
|
- type: nauc_recall_at_3_diff1 |
|
value: -4.487251181022699 |
|
- type: nauc_recall_at_3_max |
|
value: -26.28852595660599 |
|
- type: nauc_recall_at_3_std |
|
value: -30.010933869743877 |
|
- type: nauc_recall_at_5_diff1 |
|
value: -7.4729339604681515 |
|
- type: nauc_recall_at_5_max |
|
value: -22.995431038489112 |
|
- type: nauc_recall_at_5_std |
|
value: -27.623494423158906 |
|
- type: ndcg_at_1 |
|
value: 35.714 |
|
- type: ndcg_at_10 |
|
value: 27.095999999999997 |
|
- type: ndcg_at_100 |
|
value: 37.577 |
|
- type: ndcg_at_1000 |
|
value: 50.234 |
|
- type: ndcg_at_20 |
|
value: 28.706 |
|
- type: ndcg_at_3 |
|
value: 34.808 |
|
- type: ndcg_at_5 |
|
value: 31.657999999999998 |
|
- type: precision_at_1 |
|
value: 38.775999999999996 |
|
- type: precision_at_10 |
|
value: 23.061 |
|
- type: precision_at_100 |
|
value: 7.388 |
|
- type: precision_at_1000 |
|
value: 1.5650000000000002 |
|
- type: precision_at_20 |
|
value: 18.776 |
|
- type: precision_at_3 |
|
value: 36.735 |
|
- type: precision_at_5 |
|
value: 31.429000000000002 |
|
- type: recall_at_1 |
|
value: 2.708 |
|
- type: recall_at_10 |
|
value: 16.645 |
|
- type: recall_at_100 |
|
value: 45.953 |
|
- type: recall_at_1000 |
|
value: 84.553 |
|
- type: recall_at_20 |
|
value: 26.259 |
|
- type: recall_at_3 |
|
value: 7.869 |
|
- type: recall_at_5 |
|
value: 11.166 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ToxicConversationsClassification |
|
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de |
|
split: test |
|
type: mteb/toxic_conversations_50k |
|
metrics: |
|
- type: accuracy |
|
value: 75.87890625 |
|
- type: ap |
|
value: 16.4629793865873 |
|
- type: ap_weighted |
|
value: 16.4629793865873 |
|
- type: f1 |
|
value: 58.32993265544471 |
|
- type: f1_weighted |
|
value: 80.94360012442658 |
|
- type: main_score |
|
value: 75.87890625 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB TweetSentimentExtractionClassification |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
split: test |
|
type: mteb/tweet_sentiment_extraction |
|
metrics: |
|
- type: accuracy |
|
value: 65.21788341822298 |
|
- type: f1 |
|
value: 65.00914562845475 |
|
- type: f1_weighted |
|
value: 63.672388825903845 |
|
- type: main_score |
|
value: 65.21788341822298 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB TwentyNewsgroupsClustering |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
split: test |
|
type: mteb/twentynewsgroups-clustering |
|
metrics: |
|
- type: main_score |
|
value: 57.152337838073485 |
|
- type: v_measure |
|
value: 57.152337838073485 |
|
- type: v_measure_std |
|
value: 0.8799366494028795 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB TwitterSemEval2015 |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
split: test |
|
type: mteb/twittersemeval2015-pairclassification |
|
metrics: |
|
- type: max_accuracy |
|
value: 88.63920844012637 |
|
- type: max_ap |
|
value: 81.41444048232692 |
|
- type: max_f1 |
|
value: 74.84396892115653 |
|
- type: accuracy |
|
value: 88.63920844012637 |
|
- type: accuracy_threshold |
|
value: 84.5294713973999 |
|
- type: ap |
|
value: 81.41443623323144 |
|
- type: f1 |
|
value: 74.84396892115653 |
|
- type: f1_threshold |
|
value: 82.87262320518494 |
|
- type: precision |
|
value: 72.34671263235656 |
|
- type: recall |
|
value: 77.5197889182058 |
|
- type: main_score |
|
value: 81.41444048232692 |
|
task: |
|
type: PairClassification |
|
- dataset: |
|
config: default |
|
name: MTEB TwitterURLCorpus |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
split: test |
|
type: mteb/twitterurlcorpus-pairclassification |
|
metrics: |
|
- type: max_accuracy |
|
value: 89.90569332867622 |
|
- type: max_ap |
|
value: 87.91825594329686 |
|
- type: max_f1 |
|
value: 80.35081439054949 |
|
- type: accuracy |
|
value: 89.90569332867622 |
|
- type: accuracy_threshold |
|
value: 81.01733326911926 |
|
- type: ap |
|
value: 87.91824445175028 |
|
- type: f1 |
|
value: 80.35081439054949 |
|
- type: f1_threshold |
|
value: 78.65387201309204 |
|
- type: precision |
|
value: 75.0853013982739 |
|
- type: recall |
|
value: 86.41053279950724 |
|
- type: main_score |
|
value: 87.91825594329686 |
|
task: |
|
type: PairClassification |
|
tags: |
|
- mteb |
|
--- |
|
## Zeta-Alpha-E5-Mistral |
|
|
|
We introduce Zeta Alpha's first public embedding model, a retrieval-specialized, 7B parameter embedding model trained on top of [E5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct). |
|
This model marks the first published model from Zeta Alpha's open science embedding models. The full dataset and detailed training recipe will be made available (very) soon. |
|
|
|
We will also make available our evaluation dataset (Called `Mini` and `Nano` versions of `BEIR`), which allowed us to quickly evaluate the model's performance while training. |
|
|
|
|
|
### Lora Weights |
|
|
|
The lora weights are also available, so there is no need to download the full model. |
|
## How to Run |
|
|
|
The model was trained with the same instruction-tuning strategy as the original [E5-mistral-7b-instruct](https://huggingface.co/intfloat/e5-mistral-7b-instruct) model. Therefore, queries should be formatted as follows: |
|
|
|
``` |
|
Instruct: <task description>\nQuery: <query> |
|
``` |
|
|
|
### Transformers |
|
``` python |
|
import torch |
|
import torch.nn.functional as F |
|
from torch import Tensor |
|
from transformers import AutoTokenizer, AutoModel |
|
|
|
def last_token_pool(last_hidden_states: Tensor, |
|
attention_mask: Tensor) -> Tensor: |
|
left_padding = (attention_mask[:, -1].sum() == attention_mask.shape[0]) |
|
if left_padding: |
|
return last_hidden_states[:, -1] |
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else: |
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sequence_lengths = attention_mask.sum(dim=1) - 1 |
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batch_size = last_hidden_states.shape[0] |
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return last_hidden_states[torch.arange(batch_size, device=last_hidden_states.device), sequence_lengths] |
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def get_detailed_instruct(task_description: str, query: str) -> str: |
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return f'Instruct: {task_description}\nQuery: {query}' |
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task = "Given a claim about climate change, retrieve documents that support or refute the claim" |
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queries = [ |
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get_detailed_instruct(task, "In Alaska, brown bears are changing their feeding habits to eat elderberries that ripen earlier."), |
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get_detailed_instruct(task, "Local and regional sea levels continue to exhibit typical natural variability—in some places rising and in others falling.") |
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] |
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passages = [ |
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"The brown bear ( Ursus arctos ) is a large bear with the widest distribution of any living ursid . The species is distributed across much of northern Eurasia and North America . It is one of the two largest terrestrial carnivorans alive today , rivaled in body size only by its close cousin , the polar bear ( Ursus maritimus ) , which is much less variable in size and averages larger due to this . There are several recognized subspecies , many of which are quite well-known within their native ranges , found in the brown bear species . The brown bear 's principal range includes parts of Russia , Central Asia , China , Canada , the United States ( mostly Alaska ) , Scandinavia and the Carpathian region ( especially Romania ) , Anatolia , and Caucasus . The brown bear is recognized as a national and state animal in several European countries . While the brown bear 's range has shrunk and it has faced local extinctions , it remains listed as a least concern species by the International Union for Conservation of Nature ( IUCN ) with a total population of approximately 200,000 . As of 2012 , this and the American black bear are the only bear species not classified as threatened by the IUCN . However , the Californian , North African ( Atlas bear ) , and Mexican subspecies were hunted to extinction in the nineteenth and early twentieth centuries , and many of the southern Asian subspecies are highly endangered . One of the smaller-bodied subspecies , the Himalayan brown bear , is critically endangered , occupying only 2 % of its former range and threatened by uncontrolled poaching for its parts . The Marsican brown bear , one of several currently isolated populations of the main Eurasian brown bear race , in central Italy is believed to have a population of just 30 to 40 bears .", |
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"ean sea level ( MSL ) ( abbreviated simply sea level ) is an average level of the surface of one or more of Earth 's oceans from which heights such as elevations may be measured . MSL is a type of vertical datuma standardised geodetic reference pointthat is used , for example , as a chart datum in cartography and marine navigation , or , in aviation , as the standard sea level at which atmospheric pressure is measured in order to calibrate altitude and , consequently , aircraft flight levels . A common and relatively straightforward mean sea-level standard is the midpoint between a mean low and mean high tide at a particular location . Sea levels can be affected by many factors and are known to have varied greatly over geological time scales . The careful measurement of variations in MSL can offer insights into ongoing climate change , and sea level rise has been widely quoted as evidence of ongoing global warming . The term above sea level generally refers to above mean sea level ( AMSL ) ." |
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] |
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# load model and tokenizer |
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tokenizer = AutoTokenizer.from_pretrained("zeta-alpha-ai/Zeta-Alpha-E5-Mistral") |
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model = AutoModel.from_pretrained("zeta-alpha-ai/Zeta-Alpha-E5-Mistral") |
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|
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# get the embeddings |
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max_length = 4096 |
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input_texts = queries + passages |
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batch_dict = tokenizer(input_texts, max_length=max_length, padding=True, truncation=True, return_tensors="pt") |
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outputs = model(**batch_dict) |
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embeddings = last_token_pool(outputs.last_hidden_state, batch_dict['attention_mask']) |
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|
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# normalize embeddings |
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embeddings = F.normalize(embeddings, p=2, dim=1) |
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scores = (embeddings[:2] @ embeddings[2:].T) * 100 |
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print(scores.tolist()) |
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[[66.15530395507812, 43.65541458129883], [47.681705474853516, 63.67986297607422]] |
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``` |
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### Zeta Alpha |
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Zeta Alpha is the premier Neural Discovery Platform for AI and more. We are an Amsterdam-based R&D and product lab with a passion for AI technology, with offices on the Science Park campus of the University of Amsterdam. and in San Francisco. |
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The Zeta Alpha Research team: |
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- Arthur Câmara |
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- Dinos Papakostas |
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- Mathias Parisot |
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- Fernando Rejon Barrera |
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- Jakub Zavrel |
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