| pipeline_tag: sentence-similarity | |
| tags: | |
| - finetuner | |
| - sentence-transformers | |
| - feature-extraction | |
| - sentence-similarity | |
| - mteb | |
| datasets: | |
| - jinaai/negation-dataset | |
| language: en | |
| license: apache-2.0 | |
| model-index: | |
| - name: jina-embedding-s-en-v2 | |
| results: | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/amazon_counterfactual | |
| name: MTEB AmazonCounterfactualClassification (en) | |
| config: en | |
| split: test | |
| revision: e8379541af4e31359cca9fbcf4b00f2671dba205 | |
| metrics: | |
| - type: accuracy | |
| value: 69.70149253731343 | |
| - type: ap | |
| value: 32.22528779918184 | |
| - type: f1 | |
| value: 63.66857824618267 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/amazon_polarity | |
| name: MTEB AmazonPolarityClassification | |
| config: default | |
| split: test | |
| revision: e2d317d38cd51312af73b3d32a06d1a08b442046 | |
| metrics: | |
| - type: accuracy | |
| value: 79.55879999999999 | |
| - type: ap | |
| value: 73.97885664972738 | |
| - type: f1 | |
| value: 79.4849322624122 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/amazon_reviews_multi | |
| name: MTEB AmazonReviewsClassification (en) | |
| config: en | |
| split: test | |
| revision: 1399c76144fd37290681b995c656ef9b2e06e26d | |
| metrics: | |
| - type: accuracy | |
| value: 38.69 | |
| - type: f1 | |
| value: 37.17512734389121 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: arguana | |
| name: MTEB ArguAna | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 23.684 | |
| - type: map_at_10 | |
| value: 39.086999999999996 | |
| - type: map_at_100 | |
| value: 40.222 | |
| - type: map_at_1000 | |
| value: 40.231 | |
| - type: map_at_3 | |
| value: 34.282000000000004 | |
| - type: map_at_5 | |
| value: 36.689 | |
| - type: mrr_at_1 | |
| value: 23.826 | |
| - type: mrr_at_10 | |
| value: 39.147 | |
| - type: mrr_at_100 | |
| value: 40.282000000000004 | |
| - type: mrr_at_1000 | |
| value: 40.291 | |
| - type: mrr_at_3 | |
| value: 34.353 | |
| - type: mrr_at_5 | |
| value: 36.739 | |
| - type: ndcg_at_1 | |
| value: 23.684 | |
| - type: ndcg_at_10 | |
| value: 48.081 | |
| - type: ndcg_at_100 | |
| value: 52.902 | |
| - type: ndcg_at_1000 | |
| value: 53.111 | |
| - type: ndcg_at_3 | |
| value: 37.937 | |
| - type: ndcg_at_5 | |
| value: 42.32 | |
| - type: precision_at_1 | |
| value: 23.684 | |
| - type: precision_at_10 | |
| value: 7.703 | |
| - type: precision_at_100 | |
| value: 0.98 | |
| - type: precision_at_1000 | |
| value: 0.1 | |
| - type: precision_at_3 | |
| value: 16.192999999999998 | |
| - type: precision_at_5 | |
| value: 11.863 | |
| - type: recall_at_1 | |
| value: 23.684 | |
| - type: recall_at_10 | |
| value: 77.027 | |
| - type: recall_at_100 | |
| value: 98.009 | |
| - type: recall_at_1000 | |
| value: 99.57300000000001 | |
| - type: recall_at_3 | |
| value: 48.577999999999996 | |
| - type: recall_at_5 | |
| value: 59.317 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/arxiv-clustering-p2p | |
| name: MTEB ArxivClusteringP2P | |
| config: default | |
| split: test | |
| revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d | |
| metrics: | |
| - type: v_measure | |
| value: 44.249612940073035 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/arxiv-clustering-s2s | |
| name: MTEB ArxivClusteringS2S | |
| config: default | |
| split: test | |
| revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 | |
| metrics: | |
| - type: v_measure | |
| value: 35.39423011105325 | |
| - task: | |
| type: Reranking | |
| dataset: | |
| type: mteb/askubuntudupquestions-reranking | |
| name: MTEB AskUbuntuDupQuestions | |
| config: default | |
| split: test | |
| revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 | |
| metrics: | |
| - type: map | |
| value: 59.89078304869791 | |
| - type: mrr | |
| value: 73.5045948203843 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/biosses-sts | |
| name: MTEB BIOSSES | |
| config: default | |
| split: test | |
| revision: d3fb88f8f02e40887cd149695127462bbcf29b4a | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 82.49373811125967 | |
| - type: cos_sim_spearman | |
| value: 81.0446177409314 | |
| - type: euclidean_pearson | |
| value: 82.1327844624042 | |
| - type: euclidean_spearman | |
| value: 81.0446177409314 | |
| - type: manhattan_pearson | |
| value: 81.88575541723692 | |
| - type: manhattan_spearman | |
| value: 81.0705219456341 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/banking77 | |
| name: MTEB Banking77Classification | |
| config: default | |
| split: test | |
| revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 | |
| metrics: | |
| - type: accuracy | |
| value: 78.27272727272728 | |
| - type: f1 | |
| value: 77.36583416688741 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/biorxiv-clustering-p2p | |
| name: MTEB BiorxivClusteringP2P | |
| config: default | |
| split: test | |
| revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 | |
| metrics: | |
| - type: v_measure | |
| value: 36.12447585258704 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/biorxiv-clustering-s2s | |
| name: MTEB BiorxivClusteringS2S | |
| config: default | |
| split: test | |
| revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 | |
| metrics: | |
| - type: v_measure | |
| value: 29.305990951348743 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackAndroidRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 31.458000000000002 | |
| - type: map_at_10 | |
| value: 42.132 | |
| - type: map_at_100 | |
| value: 43.47 | |
| - type: map_at_1000 | |
| value: 43.612 | |
| - type: map_at_3 | |
| value: 38.718 | |
| - type: map_at_5 | |
| value: 40.556 | |
| - type: mrr_at_1 | |
| value: 38.627 | |
| - type: mrr_at_10 | |
| value: 47.998000000000005 | |
| - type: mrr_at_100 | |
| value: 48.726 | |
| - type: mrr_at_1000 | |
| value: 48.778 | |
| - type: mrr_at_3 | |
| value: 45.255 | |
| - type: mrr_at_5 | |
| value: 46.893 | |
| - type: ndcg_at_1 | |
| value: 38.627 | |
| - type: ndcg_at_10 | |
| value: 48.229 | |
| - type: ndcg_at_100 | |
| value: 53.108999999999995 | |
| - type: ndcg_at_1000 | |
| value: 55.385 | |
| - type: ndcg_at_3 | |
| value: 43.191 | |
| - type: ndcg_at_5 | |
| value: 45.385999999999996 | |
| - type: precision_at_1 | |
| value: 38.627 | |
| - type: precision_at_10 | |
| value: 9.142 | |
| - type: precision_at_100 | |
| value: 1.462 | |
| - type: precision_at_1000 | |
| value: 0.19499999999999998 | |
| - type: precision_at_3 | |
| value: 20.552999999999997 | |
| - type: precision_at_5 | |
| value: 14.677999999999999 | |
| - type: recall_at_1 | |
| value: 31.458000000000002 | |
| - type: recall_at_10 | |
| value: 59.619 | |
| - type: recall_at_100 | |
| value: 79.953 | |
| - type: recall_at_1000 | |
| value: 94.921 | |
| - type: recall_at_3 | |
| value: 44.744 | |
| - type: recall_at_5 | |
| value: 51.010999999999996 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackEnglishRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 26.762000000000004 | |
| - type: map_at_10 | |
| value: 35.366 | |
| - type: map_at_100 | |
| value: 36.481 | |
| - type: map_at_1000 | |
| value: 36.614999999999995 | |
| - type: map_at_3 | |
| value: 33.071 | |
| - type: map_at_5 | |
| value: 34.495 | |
| - type: mrr_at_1 | |
| value: 33.312000000000005 | |
| - type: mrr_at_10 | |
| value: 40.841 | |
| - type: mrr_at_100 | |
| value: 41.54 | |
| - type: mrr_at_1000 | |
| value: 41.592 | |
| - type: mrr_at_3 | |
| value: 38.928000000000004 | |
| - type: mrr_at_5 | |
| value: 40.119 | |
| - type: ndcg_at_1 | |
| value: 33.312000000000005 | |
| - type: ndcg_at_10 | |
| value: 40.238 | |
| - type: ndcg_at_100 | |
| value: 44.647 | |
| - type: ndcg_at_1000 | |
| value: 47.010999999999996 | |
| - type: ndcg_at_3 | |
| value: 36.991 | |
| - type: ndcg_at_5 | |
| value: 38.721 | |
| - type: precision_at_1 | |
| value: 33.312000000000005 | |
| - type: precision_at_10 | |
| value: 7.4079999999999995 | |
| - type: precision_at_100 | |
| value: 1.253 | |
| - type: precision_at_1000 | |
| value: 0.17500000000000002 | |
| - type: precision_at_3 | |
| value: 17.898 | |
| - type: precision_at_5 | |
| value: 12.687999999999999 | |
| - type: recall_at_1 | |
| value: 26.762000000000004 | |
| - type: recall_at_10 | |
| value: 48.41 | |
| - type: recall_at_100 | |
| value: 67.523 | |
| - type: recall_at_1000 | |
| value: 82.91199999999999 | |
| - type: recall_at_3 | |
| value: 38.6 | |
| - type: recall_at_5 | |
| value: 43.477 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackGamingRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 37.578 | |
| - type: map_at_10 | |
| value: 49.415 | |
| - type: map_at_100 | |
| value: 50.339 | |
| - type: map_at_1000 | |
| value: 50.402 | |
| - type: map_at_3 | |
| value: 46.412 | |
| - type: map_at_5 | |
| value: 48.183 | |
| - type: mrr_at_1 | |
| value: 43.072 | |
| - type: mrr_at_10 | |
| value: 52.82599999999999 | |
| - type: mrr_at_100 | |
| value: 53.456 | |
| - type: mrr_at_1000 | |
| value: 53.493 | |
| - type: mrr_at_3 | |
| value: 50.407999999999994 | |
| - type: mrr_at_5 | |
| value: 51.922000000000004 | |
| - type: ndcg_at_1 | |
| value: 43.072 | |
| - type: ndcg_at_10 | |
| value: 54.949000000000005 | |
| - type: ndcg_at_100 | |
| value: 58.744 | |
| - type: ndcg_at_1000 | |
| value: 60.150000000000006 | |
| - type: ndcg_at_3 | |
| value: 49.864000000000004 | |
| - type: ndcg_at_5 | |
| value: 52.503 | |
| - type: precision_at_1 | |
| value: 43.072 | |
| - type: precision_at_10 | |
| value: 8.734 | |
| - type: precision_at_100 | |
| value: 1.1520000000000001 | |
| - type: precision_at_1000 | |
| value: 0.132 | |
| - type: precision_at_3 | |
| value: 22.131999999999998 | |
| - type: precision_at_5 | |
| value: 15.21 | |
| - type: recall_at_1 | |
| value: 37.578 | |
| - type: recall_at_10 | |
| value: 67.918 | |
| - type: recall_at_100 | |
| value: 84.373 | |
| - type: recall_at_1000 | |
| value: 94.529 | |
| - type: recall_at_3 | |
| value: 54.457 | |
| - type: recall_at_5 | |
| value: 60.941 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackGisRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 23.394000000000002 | |
| - type: map_at_10 | |
| value: 31.791000000000004 | |
| - type: map_at_100 | |
| value: 32.64 | |
| - type: map_at_1000 | |
| value: 32.727000000000004 | |
| - type: map_at_3 | |
| value: 29.557 | |
| - type: map_at_5 | |
| value: 30.858999999999998 | |
| - type: mrr_at_1 | |
| value: 25.085 | |
| - type: mrr_at_10 | |
| value: 33.721000000000004 | |
| - type: mrr_at_100 | |
| value: 34.492 | |
| - type: mrr_at_1000 | |
| value: 34.564 | |
| - type: mrr_at_3 | |
| value: 31.619999999999997 | |
| - type: mrr_at_5 | |
| value: 32.896 | |
| - type: ndcg_at_1 | |
| value: 25.085 | |
| - type: ndcg_at_10 | |
| value: 36.370000000000005 | |
| - type: ndcg_at_100 | |
| value: 40.96 | |
| - type: ndcg_at_1000 | |
| value: 43.171 | |
| - type: ndcg_at_3 | |
| value: 32.104 | |
| - type: ndcg_at_5 | |
| value: 34.300000000000004 | |
| - type: precision_at_1 | |
| value: 25.085 | |
| - type: precision_at_10 | |
| value: 5.537 | |
| - type: precision_at_100 | |
| value: 0.8340000000000001 | |
| - type: precision_at_1000 | |
| value: 0.105 | |
| - type: precision_at_3 | |
| value: 13.71 | |
| - type: precision_at_5 | |
| value: 9.514 | |
| - type: recall_at_1 | |
| value: 23.394000000000002 | |
| - type: recall_at_10 | |
| value: 48.549 | |
| - type: recall_at_100 | |
| value: 70.341 | |
| - type: recall_at_1000 | |
| value: 87.01299999999999 | |
| - type: recall_at_3 | |
| value: 36.947 | |
| - type: recall_at_5 | |
| value: 42.365 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackMathematicaRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 14.818000000000001 | |
| - type: map_at_10 | |
| value: 21.773999999999997 | |
| - type: map_at_100 | |
| value: 22.787 | |
| - type: map_at_1000 | |
| value: 22.915 | |
| - type: map_at_3 | |
| value: 19.414 | |
| - type: map_at_5 | |
| value: 20.651 | |
| - type: mrr_at_1 | |
| value: 18.657 | |
| - type: mrr_at_10 | |
| value: 25.794 | |
| - type: mrr_at_100 | |
| value: 26.695999999999998 | |
| - type: mrr_at_1000 | |
| value: 26.776 | |
| - type: mrr_at_3 | |
| value: 23.279 | |
| - type: mrr_at_5 | |
| value: 24.598 | |
| - type: ndcg_at_1 | |
| value: 18.657 | |
| - type: ndcg_at_10 | |
| value: 26.511000000000003 | |
| - type: ndcg_at_100 | |
| value: 31.447999999999997 | |
| - type: ndcg_at_1000 | |
| value: 34.71 | |
| - type: ndcg_at_3 | |
| value: 21.92 | |
| - type: ndcg_at_5 | |
| value: 23.938000000000002 | |
| - type: precision_at_1 | |
| value: 18.657 | |
| - type: precision_at_10 | |
| value: 4.9 | |
| - type: precision_at_100 | |
| value: 0.851 | |
| - type: precision_at_1000 | |
| value: 0.127 | |
| - type: precision_at_3 | |
| value: 10.488999999999999 | |
| - type: precision_at_5 | |
| value: 7.710999999999999 | |
| - type: recall_at_1 | |
| value: 14.818000000000001 | |
| - type: recall_at_10 | |
| value: 37.408 | |
| - type: recall_at_100 | |
| value: 58.81999999999999 | |
| - type: recall_at_1000 | |
| value: 82.612 | |
| - type: recall_at_3 | |
| value: 24.561 | |
| - type: recall_at_5 | |
| value: 29.685 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackPhysicsRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 26.332 | |
| - type: map_at_10 | |
| value: 35.366 | |
| - type: map_at_100 | |
| value: 36.569 | |
| - type: map_at_1000 | |
| value: 36.689 | |
| - type: map_at_3 | |
| value: 32.582 | |
| - type: map_at_5 | |
| value: 34.184 | |
| - type: mrr_at_1 | |
| value: 32.05 | |
| - type: mrr_at_10 | |
| value: 40.902 | |
| - type: mrr_at_100 | |
| value: 41.754000000000005 | |
| - type: mrr_at_1000 | |
| value: 41.811 | |
| - type: mrr_at_3 | |
| value: 38.547 | |
| - type: mrr_at_5 | |
| value: 40.019 | |
| - type: ndcg_at_1 | |
| value: 32.05 | |
| - type: ndcg_at_10 | |
| value: 40.999 | |
| - type: ndcg_at_100 | |
| value: 46.284 | |
| - type: ndcg_at_1000 | |
| value: 48.698 | |
| - type: ndcg_at_3 | |
| value: 36.39 | |
| - type: ndcg_at_5 | |
| value: 38.699 | |
| - type: precision_at_1 | |
| value: 32.05 | |
| - type: precision_at_10 | |
| value: 7.315 | |
| - type: precision_at_100 | |
| value: 1.172 | |
| - type: precision_at_1000 | |
| value: 0.156 | |
| - type: precision_at_3 | |
| value: 17.036 | |
| - type: precision_at_5 | |
| value: 12.089 | |
| - type: recall_at_1 | |
| value: 26.332 | |
| - type: recall_at_10 | |
| value: 52.410000000000004 | |
| - type: recall_at_100 | |
| value: 74.763 | |
| - type: recall_at_1000 | |
| value: 91.03 | |
| - type: recall_at_3 | |
| value: 39.527 | |
| - type: recall_at_5 | |
| value: 45.517 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackProgrammersRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 22.849 | |
| - type: map_at_10 | |
| value: 31.502000000000002 | |
| - type: map_at_100 | |
| value: 32.854 | |
| - type: map_at_1000 | |
| value: 32.975 | |
| - type: map_at_3 | |
| value: 28.997 | |
| - type: map_at_5 | |
| value: 30.508999999999997 | |
| - type: mrr_at_1 | |
| value: 28.195999999999998 | |
| - type: mrr_at_10 | |
| value: 36.719 | |
| - type: mrr_at_100 | |
| value: 37.674 | |
| - type: mrr_at_1000 | |
| value: 37.743 | |
| - type: mrr_at_3 | |
| value: 34.532000000000004 | |
| - type: mrr_at_5 | |
| value: 35.845 | |
| - type: ndcg_at_1 | |
| value: 28.195999999999998 | |
| - type: ndcg_at_10 | |
| value: 36.605 | |
| - type: ndcg_at_100 | |
| value: 42.524 | |
| - type: ndcg_at_1000 | |
| value: 45.171 | |
| - type: ndcg_at_3 | |
| value: 32.574 | |
| - type: ndcg_at_5 | |
| value: 34.617 | |
| - type: precision_at_1 | |
| value: 28.195999999999998 | |
| - type: precision_at_10 | |
| value: 6.598 | |
| - type: precision_at_100 | |
| value: 1.121 | |
| - type: precision_at_1000 | |
| value: 0.153 | |
| - type: precision_at_3 | |
| value: 15.601 | |
| - type: precision_at_5 | |
| value: 11.073 | |
| - type: recall_at_1 | |
| value: 22.849 | |
| - type: recall_at_10 | |
| value: 46.528000000000006 | |
| - type: recall_at_100 | |
| value: 72.09 | |
| - type: recall_at_1000 | |
| value: 90.398 | |
| - type: recall_at_3 | |
| value: 35.116 | |
| - type: recall_at_5 | |
| value: 40.778 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 24.319500000000005 | |
| - type: map_at_10 | |
| value: 32.530166666666666 | |
| - type: map_at_100 | |
| value: 33.61566666666667 | |
| - type: map_at_1000 | |
| value: 33.73808333333333 | |
| - type: map_at_3 | |
| value: 30.074583333333326 | |
| - type: map_at_5 | |
| value: 31.429666666666662 | |
| - type: mrr_at_1 | |
| value: 28.675916666666666 | |
| - type: mrr_at_10 | |
| value: 36.49308333333334 | |
| - type: mrr_at_100 | |
| value: 37.310583333333334 | |
| - type: mrr_at_1000 | |
| value: 37.37616666666666 | |
| - type: mrr_at_3 | |
| value: 34.283166666666666 | |
| - type: mrr_at_5 | |
| value: 35.54333333333334 | |
| - type: ndcg_at_1 | |
| value: 28.675916666666666 | |
| - type: ndcg_at_10 | |
| value: 37.403416666666665 | |
| - type: ndcg_at_100 | |
| value: 42.25783333333333 | |
| - type: ndcg_at_1000 | |
| value: 44.778333333333336 | |
| - type: ndcg_at_3 | |
| value: 33.17099999999999 | |
| - type: ndcg_at_5 | |
| value: 35.12666666666667 | |
| - type: precision_at_1 | |
| value: 28.675916666666666 | |
| - type: precision_at_10 | |
| value: 6.463083333333334 | |
| - type: precision_at_100 | |
| value: 1.0585 | |
| - type: precision_at_1000 | |
| value: 0.14633333333333332 | |
| - type: precision_at_3 | |
| value: 15.158999999999997 | |
| - type: precision_at_5 | |
| value: 10.673916666666667 | |
| - type: recall_at_1 | |
| value: 24.319500000000005 | |
| - type: recall_at_10 | |
| value: 47.9135 | |
| - type: recall_at_100 | |
| value: 69.40266666666666 | |
| - type: recall_at_1000 | |
| value: 87.12566666666666 | |
| - type: recall_at_3 | |
| value: 36.03149999999999 | |
| - type: recall_at_5 | |
| value: 41.12791666666668 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackStatsRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 22.997 | |
| - type: map_at_10 | |
| value: 28.754999999999995 | |
| - type: map_at_100 | |
| value: 29.555999999999997 | |
| - type: map_at_1000 | |
| value: 29.653000000000002 | |
| - type: map_at_3 | |
| value: 27.069 | |
| - type: map_at_5 | |
| value: 27.884999999999998 | |
| - type: mrr_at_1 | |
| value: 25.767 | |
| - type: mrr_at_10 | |
| value: 31.195 | |
| - type: mrr_at_100 | |
| value: 31.964 | |
| - type: mrr_at_1000 | |
| value: 32.039 | |
| - type: mrr_at_3 | |
| value: 29.601 | |
| - type: mrr_at_5 | |
| value: 30.345 | |
| - type: ndcg_at_1 | |
| value: 25.767 | |
| - type: ndcg_at_10 | |
| value: 32.234 | |
| - type: ndcg_at_100 | |
| value: 36.461 | |
| - type: ndcg_at_1000 | |
| value: 39.005 | |
| - type: ndcg_at_3 | |
| value: 29.052 | |
| - type: ndcg_at_5 | |
| value: 30.248 | |
| - type: precision_at_1 | |
| value: 25.767 | |
| - type: precision_at_10 | |
| value: 4.893 | |
| - type: precision_at_100 | |
| value: 0.761 | |
| - type: precision_at_1000 | |
| value: 0.105 | |
| - type: precision_at_3 | |
| value: 12.219 | |
| - type: precision_at_5 | |
| value: 8.19 | |
| - type: recall_at_1 | |
| value: 22.997 | |
| - type: recall_at_10 | |
| value: 40.652 | |
| - type: recall_at_100 | |
| value: 60.302 | |
| - type: recall_at_1000 | |
| value: 79.17999999999999 | |
| - type: recall_at_3 | |
| value: 31.680999999999997 | |
| - type: recall_at_5 | |
| value: 34.698 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackTexRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 16.3 | |
| - type: map_at_10 | |
| value: 22.581 | |
| - type: map_at_100 | |
| value: 23.517 | |
| - type: map_at_1000 | |
| value: 23.638 | |
| - type: map_at_3 | |
| value: 20.567 | |
| - type: map_at_5 | |
| value: 21.688 | |
| - type: mrr_at_1 | |
| value: 19.683 | |
| - type: mrr_at_10 | |
| value: 26.185000000000002 | |
| - type: mrr_at_100 | |
| value: 27.014 | |
| - type: mrr_at_1000 | |
| value: 27.092 | |
| - type: mrr_at_3 | |
| value: 24.145 | |
| - type: mrr_at_5 | |
| value: 25.308999999999997 | |
| - type: ndcg_at_1 | |
| value: 19.683 | |
| - type: ndcg_at_10 | |
| value: 26.699 | |
| - type: ndcg_at_100 | |
| value: 31.35 | |
| - type: ndcg_at_1000 | |
| value: 34.348 | |
| - type: ndcg_at_3 | |
| value: 23.026 | |
| - type: ndcg_at_5 | |
| value: 24.731 | |
| - type: precision_at_1 | |
| value: 19.683 | |
| - type: precision_at_10 | |
| value: 4.814 | |
| - type: precision_at_100 | |
| value: 0.836 | |
| - type: precision_at_1000 | |
| value: 0.126 | |
| - type: precision_at_3 | |
| value: 10.782 | |
| - type: precision_at_5 | |
| value: 7.825 | |
| - type: recall_at_1 | |
| value: 16.3 | |
| - type: recall_at_10 | |
| value: 35.521 | |
| - type: recall_at_100 | |
| value: 56.665 | |
| - type: recall_at_1000 | |
| value: 78.361 | |
| - type: recall_at_3 | |
| value: 25.223000000000003 | |
| - type: recall_at_5 | |
| value: 29.626 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackUnixRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 24.596999999999998 | |
| - type: map_at_10 | |
| value: 32.54 | |
| - type: map_at_100 | |
| value: 33.548 | |
| - type: map_at_1000 | |
| value: 33.661 | |
| - type: map_at_3 | |
| value: 30.134 | |
| - type: map_at_5 | |
| value: 31.468 | |
| - type: mrr_at_1 | |
| value: 28.825 | |
| - type: mrr_at_10 | |
| value: 36.495 | |
| - type: mrr_at_100 | |
| value: 37.329 | |
| - type: mrr_at_1000 | |
| value: 37.397999999999996 | |
| - type: mrr_at_3 | |
| value: 34.359 | |
| - type: mrr_at_5 | |
| value: 35.53 | |
| - type: ndcg_at_1 | |
| value: 28.825 | |
| - type: ndcg_at_10 | |
| value: 37.341 | |
| - type: ndcg_at_100 | |
| value: 42.221 | |
| - type: ndcg_at_1000 | |
| value: 44.799 | |
| - type: ndcg_at_3 | |
| value: 33.058 | |
| - type: ndcg_at_5 | |
| value: 34.961999999999996 | |
| - type: precision_at_1 | |
| value: 28.825 | |
| - type: precision_at_10 | |
| value: 6.175 | |
| - type: precision_at_100 | |
| value: 0.97 | |
| - type: precision_at_1000 | |
| value: 0.13 | |
| - type: precision_at_3 | |
| value: 14.924999999999999 | |
| - type: precision_at_5 | |
| value: 10.392 | |
| - type: recall_at_1 | |
| value: 24.596999999999998 | |
| - type: recall_at_10 | |
| value: 48.067 | |
| - type: recall_at_100 | |
| value: 69.736 | |
| - type: recall_at_1000 | |
| value: 87.855 | |
| - type: recall_at_3 | |
| value: 36.248999999999995 | |
| - type: recall_at_5 | |
| value: 41.086 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackWebmastersRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 24.224999999999998 | |
| - type: map_at_10 | |
| value: 31.826 | |
| - type: map_at_100 | |
| value: 33.366 | |
| - type: map_at_1000 | |
| value: 33.6 | |
| - type: map_at_3 | |
| value: 29.353 | |
| - type: map_at_5 | |
| value: 30.736 | |
| - type: mrr_at_1 | |
| value: 28.656 | |
| - type: mrr_at_10 | |
| value: 36.092 | |
| - type: mrr_at_100 | |
| value: 37.076 | |
| - type: mrr_at_1000 | |
| value: 37.141999999999996 | |
| - type: mrr_at_3 | |
| value: 33.86 | |
| - type: mrr_at_5 | |
| value: 35.144999999999996 | |
| - type: ndcg_at_1 | |
| value: 28.656 | |
| - type: ndcg_at_10 | |
| value: 37.025999999999996 | |
| - type: ndcg_at_100 | |
| value: 42.844 | |
| - type: ndcg_at_1000 | |
| value: 45.716 | |
| - type: ndcg_at_3 | |
| value: 32.98 | |
| - type: ndcg_at_5 | |
| value: 34.922 | |
| - type: precision_at_1 | |
| value: 28.656 | |
| - type: precision_at_10 | |
| value: 6.976 | |
| - type: precision_at_100 | |
| value: 1.48 | |
| - type: precision_at_1000 | |
| value: 0.23700000000000002 | |
| - type: precision_at_3 | |
| value: 15.348999999999998 | |
| - type: precision_at_5 | |
| value: 11.028 | |
| - type: recall_at_1 | |
| value: 24.224999999999998 | |
| - type: recall_at_10 | |
| value: 46.589999999999996 | |
| - type: recall_at_100 | |
| value: 72.331 | |
| - type: recall_at_1000 | |
| value: 90.891 | |
| - type: recall_at_3 | |
| value: 34.996 | |
| - type: recall_at_5 | |
| value: 40.294000000000004 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: BeIR/cqadupstack | |
| name: MTEB CQADupstackWordpressRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 20.524 | |
| - type: map_at_10 | |
| value: 27.314 | |
| - type: map_at_100 | |
| value: 28.260999999999996 | |
| - type: map_at_1000 | |
| value: 28.37 | |
| - type: map_at_3 | |
| value: 25.020999999999997 | |
| - type: map_at_5 | |
| value: 25.942 | |
| - type: mrr_at_1 | |
| value: 22.181 | |
| - type: mrr_at_10 | |
| value: 29.149 | |
| - type: mrr_at_100 | |
| value: 30.006 | |
| - type: mrr_at_1000 | |
| value: 30.086000000000002 | |
| - type: mrr_at_3 | |
| value: 26.863999999999997 | |
| - type: mrr_at_5 | |
| value: 27.899 | |
| - type: ndcg_at_1 | |
| value: 22.181 | |
| - type: ndcg_at_10 | |
| value: 31.64 | |
| - type: ndcg_at_100 | |
| value: 36.502 | |
| - type: ndcg_at_1000 | |
| value: 39.176 | |
| - type: ndcg_at_3 | |
| value: 26.901999999999997 | |
| - type: ndcg_at_5 | |
| value: 28.493000000000002 | |
| - type: precision_at_1 | |
| value: 22.181 | |
| - type: precision_at_10 | |
| value: 5.065 | |
| - type: precision_at_100 | |
| value: 0.8099999999999999 | |
| - type: precision_at_1000 | |
| value: 0.11499999999999999 | |
| - type: precision_at_3 | |
| value: 11.214 | |
| - type: precision_at_5 | |
| value: 7.689 | |
| - type: recall_at_1 | |
| value: 20.524 | |
| - type: recall_at_10 | |
| value: 43.29 | |
| - type: recall_at_100 | |
| value: 65.935 | |
| - type: recall_at_1000 | |
| value: 85.80600000000001 | |
| - type: recall_at_3 | |
| value: 30.276999999999997 | |
| - type: recall_at_5 | |
| value: 34.056999999999995 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: climate-fever | |
| name: MTEB ClimateFEVER | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 10.488999999999999 | |
| - type: map_at_10 | |
| value: 17.98 | |
| - type: map_at_100 | |
| value: 19.581 | |
| - type: map_at_1000 | |
| value: 19.739 | |
| - type: map_at_3 | |
| value: 15.054 | |
| - type: map_at_5 | |
| value: 16.439999999999998 | |
| - type: mrr_at_1 | |
| value: 23.192 | |
| - type: mrr_at_10 | |
| value: 33.831 | |
| - type: mrr_at_100 | |
| value: 34.833 | |
| - type: mrr_at_1000 | |
| value: 34.881 | |
| - type: mrr_at_3 | |
| value: 30.793 | |
| - type: mrr_at_5 | |
| value: 32.535 | |
| - type: ndcg_at_1 | |
| value: 23.192 | |
| - type: ndcg_at_10 | |
| value: 25.446 | |
| - type: ndcg_at_100 | |
| value: 31.948 | |
| - type: ndcg_at_1000 | |
| value: 35.028 | |
| - type: ndcg_at_3 | |
| value: 20.744 | |
| - type: ndcg_at_5 | |
| value: 22.233 | |
| - type: precision_at_1 | |
| value: 23.192 | |
| - type: precision_at_10 | |
| value: 8.026 | |
| - type: precision_at_100 | |
| value: 1.482 | |
| - type: precision_at_1000 | |
| value: 0.20500000000000002 | |
| - type: precision_at_3 | |
| value: 15.548 | |
| - type: precision_at_5 | |
| value: 11.87 | |
| - type: recall_at_1 | |
| value: 10.488999999999999 | |
| - type: recall_at_10 | |
| value: 30.865 | |
| - type: recall_at_100 | |
| value: 53.428 | |
| - type: recall_at_1000 | |
| value: 70.89 | |
| - type: recall_at_3 | |
| value: 19.245 | |
| - type: recall_at_5 | |
| value: 23.657 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: dbpedia-entity | |
| name: MTEB DBPedia | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 7.123 | |
| - type: map_at_10 | |
| value: 14.448 | |
| - type: map_at_100 | |
| value: 19.798 | |
| - type: map_at_1000 | |
| value: 21.082 | |
| - type: map_at_3 | |
| value: 10.815 | |
| - type: map_at_5 | |
| value: 12.422 | |
| - type: mrr_at_1 | |
| value: 53.5 | |
| - type: mrr_at_10 | |
| value: 63.117999999999995 | |
| - type: mrr_at_100 | |
| value: 63.617999999999995 | |
| - type: mrr_at_1000 | |
| value: 63.63799999999999 | |
| - type: mrr_at_3 | |
| value: 60.708 | |
| - type: mrr_at_5 | |
| value: 62.171 | |
| - type: ndcg_at_1 | |
| value: 42.125 | |
| - type: ndcg_at_10 | |
| value: 31.703 | |
| - type: ndcg_at_100 | |
| value: 35.935 | |
| - type: ndcg_at_1000 | |
| value: 43.173 | |
| - type: ndcg_at_3 | |
| value: 35.498000000000005 | |
| - type: ndcg_at_5 | |
| value: 33.645 | |
| - type: precision_at_1 | |
| value: 53.5 | |
| - type: precision_at_10 | |
| value: 25.025 | |
| - type: precision_at_100 | |
| value: 8.19 | |
| - type: precision_at_1000 | |
| value: 1.806 | |
| - type: precision_at_3 | |
| value: 39.083 | |
| - type: precision_at_5 | |
| value: 33.050000000000004 | |
| - type: recall_at_1 | |
| value: 7.123 | |
| - type: recall_at_10 | |
| value: 19.581 | |
| - type: recall_at_100 | |
| value: 42.061 | |
| - type: recall_at_1000 | |
| value: 65.879 | |
| - type: recall_at_3 | |
| value: 12.026 | |
| - type: recall_at_5 | |
| value: 14.846 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/emotion | |
| name: MTEB EmotionClassification | |
| config: default | |
| split: test | |
| revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 | |
| metrics: | |
| - type: accuracy | |
| value: 41.24 | |
| - type: f1 | |
| value: 36.76174115773002 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: fever | |
| name: MTEB FEVER | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 47.821999999999996 | |
| - type: map_at_10 | |
| value: 59.794000000000004 | |
| - type: map_at_100 | |
| value: 60.316 | |
| - type: map_at_1000 | |
| value: 60.34 | |
| - type: map_at_3 | |
| value: 57.202 | |
| - type: map_at_5 | |
| value: 58.823 | |
| - type: mrr_at_1 | |
| value: 51.485 | |
| - type: mrr_at_10 | |
| value: 63.709 | |
| - type: mrr_at_100 | |
| value: 64.144 | |
| - type: mrr_at_1000 | |
| value: 64.158 | |
| - type: mrr_at_3 | |
| value: 61.251 | |
| - type: mrr_at_5 | |
| value: 62.818 | |
| - type: ndcg_at_1 | |
| value: 51.485 | |
| - type: ndcg_at_10 | |
| value: 66.097 | |
| - type: ndcg_at_100 | |
| value: 68.37 | |
| - type: ndcg_at_1000 | |
| value: 68.916 | |
| - type: ndcg_at_3 | |
| value: 61.12800000000001 | |
| - type: ndcg_at_5 | |
| value: 63.885000000000005 | |
| - type: precision_at_1 | |
| value: 51.485 | |
| - type: precision_at_10 | |
| value: 8.956999999999999 | |
| - type: precision_at_100 | |
| value: 1.02 | |
| - type: precision_at_1000 | |
| value: 0.108 | |
| - type: precision_at_3 | |
| value: 24.807000000000002 | |
| - type: precision_at_5 | |
| value: 16.387999999999998 | |
| - type: recall_at_1 | |
| value: 47.821999999999996 | |
| - type: recall_at_10 | |
| value: 81.773 | |
| - type: recall_at_100 | |
| value: 91.731 | |
| - type: recall_at_1000 | |
| value: 95.649 | |
| - type: recall_at_3 | |
| value: 68.349 | |
| - type: recall_at_5 | |
| value: 75.093 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: fiqa | |
| name: MTEB FiQA2018 | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 15.662999999999998 | |
| - type: map_at_10 | |
| value: 25.726 | |
| - type: map_at_100 | |
| value: 27.581 | |
| - type: map_at_1000 | |
| value: 27.772000000000002 | |
| - type: map_at_3 | |
| value: 21.859 | |
| - type: map_at_5 | |
| value: 24.058 | |
| - type: mrr_at_1 | |
| value: 30.247 | |
| - type: mrr_at_10 | |
| value: 39.581 | |
| - type: mrr_at_100 | |
| value: 40.594 | |
| - type: mrr_at_1000 | |
| value: 40.647 | |
| - type: mrr_at_3 | |
| value: 37.166 | |
| - type: mrr_at_5 | |
| value: 38.585 | |
| - type: ndcg_at_1 | |
| value: 30.247 | |
| - type: ndcg_at_10 | |
| value: 32.934999999999995 | |
| - type: ndcg_at_100 | |
| value: 40.062999999999995 | |
| - type: ndcg_at_1000 | |
| value: 43.492 | |
| - type: ndcg_at_3 | |
| value: 28.871000000000002 | |
| - type: ndcg_at_5 | |
| value: 30.492 | |
| - type: precision_at_1 | |
| value: 30.247 | |
| - type: precision_at_10 | |
| value: 9.522 | |
| - type: precision_at_100 | |
| value: 1.645 | |
| - type: precision_at_1000 | |
| value: 0.22499999999999998 | |
| - type: precision_at_3 | |
| value: 19.136 | |
| - type: precision_at_5 | |
| value: 14.753 | |
| - type: recall_at_1 | |
| value: 15.662999999999998 | |
| - type: recall_at_10 | |
| value: 39.595 | |
| - type: recall_at_100 | |
| value: 66.49199999999999 | |
| - type: recall_at_1000 | |
| value: 87.19 | |
| - type: recall_at_3 | |
| value: 26.346999999999998 | |
| - type: recall_at_5 | |
| value: 32.423 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: hotpotqa | |
| name: MTEB HotpotQA | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 30.176 | |
| - type: map_at_10 | |
| value: 42.684 | |
| - type: map_at_100 | |
| value: 43.582 | |
| - type: map_at_1000 | |
| value: 43.668 | |
| - type: map_at_3 | |
| value: 39.964 | |
| - type: map_at_5 | |
| value: 41.589 | |
| - type: mrr_at_1 | |
| value: 60.351 | |
| - type: mrr_at_10 | |
| value: 67.669 | |
| - type: mrr_at_100 | |
| value: 68.089 | |
| - type: mrr_at_1000 | |
| value: 68.111 | |
| - type: mrr_at_3 | |
| value: 66.144 | |
| - type: mrr_at_5 | |
| value: 67.125 | |
| - type: ndcg_at_1 | |
| value: 60.351 | |
| - type: ndcg_at_10 | |
| value: 51.602000000000004 | |
| - type: ndcg_at_100 | |
| value: 55.186 | |
| - type: ndcg_at_1000 | |
| value: 56.96 | |
| - type: ndcg_at_3 | |
| value: 47.251 | |
| - type: ndcg_at_5 | |
| value: 49.584 | |
| - type: precision_at_1 | |
| value: 60.351 | |
| - type: precision_at_10 | |
| value: 10.804 | |
| - type: precision_at_100 | |
| value: 1.3639999999999999 | |
| - type: precision_at_1000 | |
| value: 0.16 | |
| - type: precision_at_3 | |
| value: 29.561 | |
| - type: precision_at_5 | |
| value: 19.581 | |
| - type: recall_at_1 | |
| value: 30.176 | |
| - type: recall_at_10 | |
| value: 54.018 | |
| - type: recall_at_100 | |
| value: 68.22399999999999 | |
| - type: recall_at_1000 | |
| value: 79.97999999999999 | |
| - type: recall_at_3 | |
| value: 44.342 | |
| - type: recall_at_5 | |
| value: 48.953 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/imdb | |
| name: MTEB ImdbClassification | |
| config: default | |
| split: test | |
| revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 | |
| metrics: | |
| - type: accuracy | |
| value: 71.28320000000001 | |
| - type: ap | |
| value: 65.20730065157146 | |
| - type: f1 | |
| value: 71.19193683354304 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: msmarco | |
| name: MTEB MSMARCO | |
| config: default | |
| split: dev | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 19.686 | |
| - type: map_at_10 | |
| value: 31.189 | |
| - type: map_at_100 | |
| value: 32.368 | |
| - type: map_at_1000 | |
| value: 32.43 | |
| - type: map_at_3 | |
| value: 27.577 | |
| - type: map_at_5 | |
| value: 29.603 | |
| - type: mrr_at_1 | |
| value: 20.201 | |
| - type: mrr_at_10 | |
| value: 31.762 | |
| - type: mrr_at_100 | |
| value: 32.882 | |
| - type: mrr_at_1000 | |
| value: 32.937 | |
| - type: mrr_at_3 | |
| value: 28.177999999999997 | |
| - type: mrr_at_5 | |
| value: 30.212 | |
| - type: ndcg_at_1 | |
| value: 20.215 | |
| - type: ndcg_at_10 | |
| value: 37.730999999999995 | |
| - type: ndcg_at_100 | |
| value: 43.501 | |
| - type: ndcg_at_1000 | |
| value: 45.031 | |
| - type: ndcg_at_3 | |
| value: 30.336000000000002 | |
| - type: ndcg_at_5 | |
| value: 33.961000000000006 | |
| - type: precision_at_1 | |
| value: 20.215 | |
| - type: precision_at_10 | |
| value: 6.036 | |
| - type: precision_at_100 | |
| value: 0.895 | |
| - type: precision_at_1000 | |
| value: 0.10300000000000001 | |
| - type: precision_at_3 | |
| value: 13.028 | |
| - type: precision_at_5 | |
| value: 9.633 | |
| - type: recall_at_1 | |
| value: 19.686 | |
| - type: recall_at_10 | |
| value: 57.867999999999995 | |
| - type: recall_at_100 | |
| value: 84.758 | |
| - type: recall_at_1000 | |
| value: 96.44500000000001 | |
| - type: recall_at_3 | |
| value: 37.726 | |
| - type: recall_at_5 | |
| value: 46.415 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/mtop_domain | |
| name: MTEB MTOPDomainClassification (en) | |
| config: en | |
| split: test | |
| revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf | |
| metrics: | |
| - type: accuracy | |
| value: 89.76972184222525 | |
| - type: f1 | |
| value: 89.11949030406099 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/mtop_intent | |
| name: MTEB MTOPIntentClassification (en) | |
| config: en | |
| split: test | |
| revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba | |
| metrics: | |
| - type: accuracy | |
| value: 55.57455540355677 | |
| - type: f1 | |
| value: 39.344920096224506 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/amazon_massive_intent | |
| name: MTEB MassiveIntentClassification (en) | |
| config: en | |
| split: test | |
| revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 | |
| metrics: | |
| - type: accuracy | |
| value: 63.772696704774724 | |
| - type: f1 | |
| value: 60.70041499812703 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/amazon_massive_scenario | |
| name: MTEB MassiveScenarioClassification (en) | |
| config: en | |
| split: test | |
| revision: 7d571f92784cd94a019292a1f45445077d0ef634 | |
| metrics: | |
| - type: accuracy | |
| value: 69.16274377942166 | |
| - type: f1 | |
| value: 68.06744012208019 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/medrxiv-clustering-p2p | |
| name: MTEB MedrxivClusteringP2P | |
| config: default | |
| split: test | |
| revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 | |
| metrics: | |
| - type: v_measure | |
| value: 31.822626760555522 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/medrxiv-clustering-s2s | |
| name: MTEB MedrxivClusteringS2S | |
| config: default | |
| split: test | |
| revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 | |
| metrics: | |
| - type: v_measure | |
| value: 27.98469036402807 | |
| - task: | |
| type: Reranking | |
| dataset: | |
| type: mteb/mind_small | |
| name: MTEB MindSmallReranking | |
| config: default | |
| split: test | |
| revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 | |
| metrics: | |
| - type: map | |
| value: 30.911144124209166 | |
| - type: mrr | |
| value: 31.950116175672292 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: nfcorpus | |
| name: MTEB NFCorpus | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 5.157 | |
| - type: map_at_10 | |
| value: 11.086 | |
| - type: map_at_100 | |
| value: 13.927 | |
| - type: map_at_1000 | |
| value: 15.226999999999999 | |
| - type: map_at_3 | |
| value: 8.525 | |
| - type: map_at_5 | |
| value: 9.767000000000001 | |
| - type: mrr_at_1 | |
| value: 43.344 | |
| - type: mrr_at_10 | |
| value: 51.646 | |
| - type: mrr_at_100 | |
| value: 52.212 | |
| - type: mrr_at_1000 | |
| value: 52.263999999999996 | |
| - type: mrr_at_3 | |
| value: 50.052 | |
| - type: mrr_at_5 | |
| value: 51.166 | |
| - type: ndcg_at_1 | |
| value: 41.949999999999996 | |
| - type: ndcg_at_10 | |
| value: 30.552 | |
| - type: ndcg_at_100 | |
| value: 28.409000000000002 | |
| - type: ndcg_at_1000 | |
| value: 37.328 | |
| - type: ndcg_at_3 | |
| value: 37.114000000000004 | |
| - type: ndcg_at_5 | |
| value: 34.117999999999995 | |
| - type: precision_at_1 | |
| value: 43.344 | |
| - type: precision_at_10 | |
| value: 22.198 | |
| - type: precision_at_100 | |
| value: 7.234999999999999 | |
| - type: precision_at_1000 | |
| value: 2.013 | |
| - type: precision_at_3 | |
| value: 34.675 | |
| - type: precision_at_5 | |
| value: 29.04 | |
| - type: recall_at_1 | |
| value: 5.157 | |
| - type: recall_at_10 | |
| value: 13.999 | |
| - type: recall_at_100 | |
| value: 28.796 | |
| - type: recall_at_1000 | |
| value: 60.84 | |
| - type: recall_at_3 | |
| value: 9.603 | |
| - type: recall_at_5 | |
| value: 11.638 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: nq | |
| name: MTEB NQ | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 33.024 | |
| - type: map_at_10 | |
| value: 47.229 | |
| - type: map_at_100 | |
| value: 48.195 | |
| - type: map_at_1000 | |
| value: 48.229 | |
| - type: map_at_3 | |
| value: 43.356 | |
| - type: map_at_5 | |
| value: 45.857 | |
| - type: mrr_at_1 | |
| value: 36.848 | |
| - type: mrr_at_10 | |
| value: 49.801 | |
| - type: mrr_at_100 | |
| value: 50.532999999999994 | |
| - type: mrr_at_1000 | |
| value: 50.556 | |
| - type: mrr_at_3 | |
| value: 46.605999999999995 | |
| - type: mrr_at_5 | |
| value: 48.735 | |
| - type: ndcg_at_1 | |
| value: 36.848 | |
| - type: ndcg_at_10 | |
| value: 54.202 | |
| - type: ndcg_at_100 | |
| value: 58.436 | |
| - type: ndcg_at_1000 | |
| value: 59.252 | |
| - type: ndcg_at_3 | |
| value: 47.082 | |
| - type: ndcg_at_5 | |
| value: 51.254 | |
| - type: precision_at_1 | |
| value: 36.848 | |
| - type: precision_at_10 | |
| value: 8.636000000000001 | |
| - type: precision_at_100 | |
| value: 1.105 | |
| - type: precision_at_1000 | |
| value: 0.11800000000000001 | |
| - type: precision_at_3 | |
| value: 21.08 | |
| - type: precision_at_5 | |
| value: 15.07 | |
| - type: recall_at_1 | |
| value: 33.024 | |
| - type: recall_at_10 | |
| value: 72.699 | |
| - type: recall_at_100 | |
| value: 91.387 | |
| - type: recall_at_1000 | |
| value: 97.482 | |
| - type: recall_at_3 | |
| value: 54.604 | |
| - type: recall_at_5 | |
| value: 64.224 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: quora | |
| name: MTEB QuoraRetrieval | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 69.742 | |
| - type: map_at_10 | |
| value: 83.43 | |
| - type: map_at_100 | |
| value: 84.09400000000001 | |
| - type: map_at_1000 | |
| value: 84.113 | |
| - type: map_at_3 | |
| value: 80.464 | |
| - type: map_at_5 | |
| value: 82.356 | |
| - type: mrr_at_1 | |
| value: 80.31 | |
| - type: mrr_at_10 | |
| value: 86.629 | |
| - type: mrr_at_100 | |
| value: 86.753 | |
| - type: mrr_at_1000 | |
| value: 86.75399999999999 | |
| - type: mrr_at_3 | |
| value: 85.59 | |
| - type: mrr_at_5 | |
| value: 86.346 | |
| - type: ndcg_at_1 | |
| value: 80.28999999999999 | |
| - type: ndcg_at_10 | |
| value: 87.323 | |
| - type: ndcg_at_100 | |
| value: 88.682 | |
| - type: ndcg_at_1000 | |
| value: 88.812 | |
| - type: ndcg_at_3 | |
| value: 84.373 | |
| - type: ndcg_at_5 | |
| value: 86.065 | |
| - type: precision_at_1 | |
| value: 80.28999999999999 | |
| - type: precision_at_10 | |
| value: 13.239999999999998 | |
| - type: precision_at_100 | |
| value: 1.521 | |
| - type: precision_at_1000 | |
| value: 0.156 | |
| - type: precision_at_3 | |
| value: 36.827 | |
| - type: precision_at_5 | |
| value: 24.272 | |
| - type: recall_at_1 | |
| value: 69.742 | |
| - type: recall_at_10 | |
| value: 94.645 | |
| - type: recall_at_100 | |
| value: 99.375 | |
| - type: recall_at_1000 | |
| value: 99.97200000000001 | |
| - type: recall_at_3 | |
| value: 86.18400000000001 | |
| - type: recall_at_5 | |
| value: 90.958 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/reddit-clustering | |
| name: MTEB RedditClustering | |
| config: default | |
| split: test | |
| revision: 24640382cdbf8abc73003fb0fa6d111a705499eb | |
| metrics: | |
| - type: v_measure | |
| value: 50.52987829115787 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/reddit-clustering-p2p | |
| name: MTEB RedditClusteringP2P | |
| config: default | |
| split: test | |
| revision: 282350215ef01743dc01b456c7f5241fa8937f16 | |
| metrics: | |
| - type: v_measure | |
| value: 56.73289360025561 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: scidocs | |
| name: MTEB SCIDOCS | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 4.473 | |
| - type: map_at_10 | |
| value: 10.953 | |
| - type: map_at_100 | |
| value: 12.842 | |
| - type: map_at_1000 | |
| value: 13.122 | |
| - type: map_at_3 | |
| value: 7.863 | |
| - type: map_at_5 | |
| value: 9.376 | |
| - type: mrr_at_1 | |
| value: 22.0 | |
| - type: mrr_at_10 | |
| value: 32.639 | |
| - type: mrr_at_100 | |
| value: 33.658 | |
| - type: mrr_at_1000 | |
| value: 33.727000000000004 | |
| - type: mrr_at_3 | |
| value: 29.232999999999997 | |
| - type: mrr_at_5 | |
| value: 31.373 | |
| - type: ndcg_at_1 | |
| value: 22.0 | |
| - type: ndcg_at_10 | |
| value: 18.736 | |
| - type: ndcg_at_100 | |
| value: 26.209 | |
| - type: ndcg_at_1000 | |
| value: 31.427 | |
| - type: ndcg_at_3 | |
| value: 17.740000000000002 | |
| - type: ndcg_at_5 | |
| value: 15.625 | |
| - type: precision_at_1 | |
| value: 22.0 | |
| - type: precision_at_10 | |
| value: 9.700000000000001 | |
| - type: precision_at_100 | |
| value: 2.052 | |
| - type: precision_at_1000 | |
| value: 0.331 | |
| - type: precision_at_3 | |
| value: 16.533 | |
| - type: precision_at_5 | |
| value: 13.74 | |
| - type: recall_at_1 | |
| value: 4.473 | |
| - type: recall_at_10 | |
| value: 19.627 | |
| - type: recall_at_100 | |
| value: 41.63 | |
| - type: recall_at_1000 | |
| value: 67.173 | |
| - type: recall_at_3 | |
| value: 10.067 | |
| - type: recall_at_5 | |
| value: 13.927 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/sickr-sts | |
| name: MTEB SICK-R | |
| config: default | |
| split: test | |
| revision: a6ea5a8cab320b040a23452cc28066d9beae2cee | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 83.27314719076216 | |
| - type: cos_sim_spearman | |
| value: 76.39295628838427 | |
| - type: euclidean_pearson | |
| value: 80.38849931283136 | |
| - type: euclidean_spearman | |
| value: 76.39295685543406 | |
| - type: manhattan_pearson | |
| value: 80.28382869912794 | |
| - type: manhattan_spearman | |
| value: 76.28362123227473 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/sts12-sts | |
| name: MTEB STS12 | |
| config: default | |
| split: test | |
| revision: a0d554a64d88156834ff5ae9920b964011b16384 | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 82.36858074786585 | |
| - type: cos_sim_spearman | |
| value: 72.81528838052759 | |
| - type: euclidean_pearson | |
| value: 78.83576324502302 | |
| - type: euclidean_spearman | |
| value: 72.8152880167174 | |
| - type: manhattan_pearson | |
| value: 78.81284819385367 | |
| - type: manhattan_spearman | |
| value: 72.76091465928633 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/sts13-sts | |
| name: MTEB STS13 | |
| config: default | |
| split: test | |
| revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 81.08132718998489 | |
| - type: cos_sim_spearman | |
| value: 82.00988939015869 | |
| - type: euclidean_pearson | |
| value: 81.02243847451692 | |
| - type: euclidean_spearman | |
| value: 82.00992010206836 | |
| - type: manhattan_pearson | |
| value: 80.97749306075134 | |
| - type: manhattan_spearman | |
| value: 81.97800195109437 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/sts14-sts | |
| name: MTEB STS14 | |
| config: default | |
| split: test | |
| revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 80.83442047735284 | |
| - type: cos_sim_spearman | |
| value: 77.50930325127395 | |
| - type: euclidean_pearson | |
| value: 79.34941050260747 | |
| - type: euclidean_spearman | |
| value: 77.50930324686452 | |
| - type: manhattan_pearson | |
| value: 79.28081079289419 | |
| - type: manhattan_spearman | |
| value: 77.42311420628891 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/sts15-sts | |
| name: MTEB STS15 | |
| config: default | |
| split: test | |
| revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 85.70132781546333 | |
| - type: cos_sim_spearman | |
| value: 86.58415907086527 | |
| - type: euclidean_pearson | |
| value: 85.63892869817083 | |
| - type: euclidean_spearman | |
| value: 86.58415907086527 | |
| - type: manhattan_pearson | |
| value: 85.56054168116064 | |
| - type: manhattan_spearman | |
| value: 86.50292824173809 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/sts16-sts | |
| name: MTEB STS16 | |
| config: default | |
| split: test | |
| revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 81.48780971731246 | |
| - type: cos_sim_spearman | |
| value: 82.79818891852887 | |
| - type: euclidean_pearson | |
| value: 81.93990926192305 | |
| - type: euclidean_spearman | |
| value: 82.79818891852887 | |
| - type: manhattan_pearson | |
| value: 81.97538189750966 | |
| - type: manhattan_spearman | |
| value: 82.88761825524075 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/sts17-crosslingual-sts | |
| name: MTEB STS17 (en-en) | |
| config: en-en | |
| split: test | |
| revision: af5e6fb845001ecf41f4c1e033ce921939a2a68d | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 88.4989925729811 | |
| - type: cos_sim_spearman | |
| value: 88.47370962620529 | |
| - type: euclidean_pearson | |
| value: 88.2312980339956 | |
| - type: euclidean_spearman | |
| value: 88.47370962620529 | |
| - type: manhattan_pearson | |
| value: 88.15570940509707 | |
| - type: manhattan_spearman | |
| value: 88.36900000569275 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/sts22-crosslingual-sts | |
| name: MTEB STS22 (en) | |
| config: en | |
| split: test | |
| revision: 6d1ba47164174a496b7fa5d3569dae26a6813b80 | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 63.90740805015967 | |
| - type: cos_sim_spearman | |
| value: 63.968359064784444 | |
| - type: euclidean_pearson | |
| value: 64.67928113832794 | |
| - type: euclidean_spearman | |
| value: 63.968359064784444 | |
| - type: manhattan_pearson | |
| value: 63.92597430517486 | |
| - type: manhattan_spearman | |
| value: 63.31372007361158 | |
| - task: | |
| type: STS | |
| dataset: | |
| type: mteb/stsbenchmark-sts | |
| name: MTEB STSBenchmark | |
| config: default | |
| split: test | |
| revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 82.56902991447632 | |
| - type: cos_sim_spearman | |
| value: 83.16262853325924 | |
| - type: euclidean_pearson | |
| value: 83.47693312869555 | |
| - type: euclidean_spearman | |
| value: 83.16266829656969 | |
| - type: manhattan_pearson | |
| value: 83.51067558632968 | |
| - type: manhattan_spearman | |
| value: 83.25136388306153 | |
| - task: | |
| type: Reranking | |
| dataset: | |
| type: mteb/scidocs-reranking | |
| name: MTEB SciDocsRR | |
| config: default | |
| split: test | |
| revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab | |
| metrics: | |
| - type: map | |
| value: 80.1518040851234 | |
| - type: mrr | |
| value: 94.49083052024228 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: scifact | |
| name: MTEB SciFact | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 50.661 | |
| - type: map_at_10 | |
| value: 59.816 | |
| - type: map_at_100 | |
| value: 60.412 | |
| - type: map_at_1000 | |
| value: 60.446999999999996 | |
| - type: map_at_3 | |
| value: 56.567 | |
| - type: map_at_5 | |
| value: 58.45 | |
| - type: mrr_at_1 | |
| value: 53.667 | |
| - type: mrr_at_10 | |
| value: 61.342 | |
| - type: mrr_at_100 | |
| value: 61.8 | |
| - type: mrr_at_1000 | |
| value: 61.836 | |
| - type: mrr_at_3 | |
| value: 59.111000000000004 | |
| - type: mrr_at_5 | |
| value: 60.411 | |
| - type: ndcg_at_1 | |
| value: 53.667 | |
| - type: ndcg_at_10 | |
| value: 64.488 | |
| - type: ndcg_at_100 | |
| value: 67.291 | |
| - type: ndcg_at_1000 | |
| value: 68.338 | |
| - type: ndcg_at_3 | |
| value: 59.101000000000006 | |
| - type: ndcg_at_5 | |
| value: 61.812999999999995 | |
| - type: precision_at_1 | |
| value: 53.667 | |
| - type: precision_at_10 | |
| value: 8.799999999999999 | |
| - type: precision_at_100 | |
| value: 1.0330000000000001 | |
| - type: precision_at_1000 | |
| value: 0.11199999999999999 | |
| - type: precision_at_3 | |
| value: 23.0 | |
| - type: precision_at_5 | |
| value: 15.6 | |
| - type: recall_at_1 | |
| value: 50.661 | |
| - type: recall_at_10 | |
| value: 77.422 | |
| - type: recall_at_100 | |
| value: 90.667 | |
| - type: recall_at_1000 | |
| value: 99.0 | |
| - type: recall_at_3 | |
| value: 63.144 | |
| - type: recall_at_5 | |
| value: 69.817 | |
| - task: | |
| type: PairClassification | |
| dataset: | |
| type: mteb/sprintduplicatequestions-pairclassification | |
| name: MTEB SprintDuplicateQuestions | |
| config: default | |
| split: test | |
| revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 | |
| metrics: | |
| - type: cos_sim_accuracy | |
| value: 99.81287128712871 | |
| - type: cos_sim_ap | |
| value: 94.91998708151321 | |
| - type: cos_sim_f1 | |
| value: 90.36206017338093 | |
| - type: cos_sim_precision | |
| value: 92.19562955254943 | |
| - type: cos_sim_recall | |
| value: 88.6 | |
| - type: dot_accuracy | |
| value: 99.81287128712871 | |
| - type: dot_ap | |
| value: 94.91998708151321 | |
| - type: dot_f1 | |
| value: 90.36206017338093 | |
| - type: dot_precision | |
| value: 92.19562955254943 | |
| - type: dot_recall | |
| value: 88.6 | |
| - type: euclidean_accuracy | |
| value: 99.81287128712871 | |
| - type: euclidean_ap | |
| value: 94.9199944407842 | |
| - type: euclidean_f1 | |
| value: 90.36206017338093 | |
| - type: euclidean_precision | |
| value: 92.19562955254943 | |
| - type: euclidean_recall | |
| value: 88.6 | |
| - type: manhattan_accuracy | |
| value: 99.8108910891089 | |
| - type: manhattan_ap | |
| value: 94.83783896670839 | |
| - type: manhattan_f1 | |
| value: 90.27989821882952 | |
| - type: manhattan_precision | |
| value: 91.91709844559585 | |
| - type: manhattan_recall | |
| value: 88.7 | |
| - type: max_accuracy | |
| value: 99.81287128712871 | |
| - type: max_ap | |
| value: 94.9199944407842 | |
| - type: max_f1 | |
| value: 90.36206017338093 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/stackexchange-clustering | |
| name: MTEB StackExchangeClustering | |
| config: default | |
| split: test | |
| revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 | |
| metrics: | |
| - type: v_measure | |
| value: 56.165546412944714 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/stackexchange-clustering-p2p | |
| name: MTEB StackExchangeClusteringP2P | |
| config: default | |
| split: test | |
| revision: 815ca46b2622cec33ccafc3735d572c266efdb44 | |
| metrics: | |
| - type: v_measure | |
| value: 34.19894321136813 | |
| - task: | |
| type: Reranking | |
| dataset: | |
| type: mteb/stackoverflowdupquestions-reranking | |
| name: MTEB StackOverflowDupQuestions | |
| config: default | |
| split: test | |
| revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 | |
| metrics: | |
| - type: map | |
| value: 50.02944308369115 | |
| - type: mrr | |
| value: 50.63055714710127 | |
| - task: | |
| type: Summarization | |
| dataset: | |
| type: mteb/summeval | |
| name: MTEB SummEval | |
| config: default | |
| split: test | |
| revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c | |
| metrics: | |
| - type: cos_sim_pearson | |
| value: 31.3377433394579 | |
| - type: cos_sim_spearman | |
| value: 30.877807383527983 | |
| - type: dot_pearson | |
| value: 31.337752376327405 | |
| - type: dot_spearman | |
| value: 30.877807383527983 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: trec-covid | |
| name: MTEB TRECCOVID | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 0.20500000000000002 | |
| - type: map_at_10 | |
| value: 1.6099999999999999 | |
| - type: map_at_100 | |
| value: 8.635 | |
| - type: map_at_1000 | |
| value: 20.419999999999998 | |
| - type: map_at_3 | |
| value: 0.59 | |
| - type: map_at_5 | |
| value: 0.9249999999999999 | |
| - type: mrr_at_1 | |
| value: 80.0 | |
| - type: mrr_at_10 | |
| value: 88.452 | |
| - type: mrr_at_100 | |
| value: 88.452 | |
| - type: mrr_at_1000 | |
| value: 88.452 | |
| - type: mrr_at_3 | |
| value: 87.667 | |
| - type: mrr_at_5 | |
| value: 88.167 | |
| - type: ndcg_at_1 | |
| value: 77.0 | |
| - type: ndcg_at_10 | |
| value: 67.079 | |
| - type: ndcg_at_100 | |
| value: 49.937 | |
| - type: ndcg_at_1000 | |
| value: 44.031 | |
| - type: ndcg_at_3 | |
| value: 73.123 | |
| - type: ndcg_at_5 | |
| value: 70.435 | |
| - type: precision_at_1 | |
| value: 80.0 | |
| - type: precision_at_10 | |
| value: 70.39999999999999 | |
| - type: precision_at_100 | |
| value: 51.25999999999999 | |
| - type: precision_at_1000 | |
| value: 19.698 | |
| - type: precision_at_3 | |
| value: 78.0 | |
| - type: precision_at_5 | |
| value: 75.2 | |
| - type: recall_at_1 | |
| value: 0.20500000000000002 | |
| - type: recall_at_10 | |
| value: 1.8399999999999999 | |
| - type: recall_at_100 | |
| value: 11.971 | |
| - type: recall_at_1000 | |
| value: 41.042 | |
| - type: recall_at_3 | |
| value: 0.632 | |
| - type: recall_at_5 | |
| value: 1.008 | |
| - task: | |
| type: Retrieval | |
| dataset: | |
| type: webis-touche2020 | |
| name: MTEB Touche2020 | |
| config: default | |
| split: test | |
| revision: None | |
| metrics: | |
| - type: map_at_1 | |
| value: 1.183 | |
| - type: map_at_10 | |
| value: 9.58 | |
| - type: map_at_100 | |
| value: 16.27 | |
| - type: map_at_1000 | |
| value: 17.977999999999998 | |
| - type: map_at_3 | |
| value: 4.521 | |
| - type: map_at_5 | |
| value: 6.567 | |
| - type: mrr_at_1 | |
| value: 12.245000000000001 | |
| - type: mrr_at_10 | |
| value: 33.486 | |
| - type: mrr_at_100 | |
| value: 34.989 | |
| - type: mrr_at_1000 | |
| value: 34.989 | |
| - type: mrr_at_3 | |
| value: 28.231 | |
| - type: mrr_at_5 | |
| value: 31.701 | |
| - type: ndcg_at_1 | |
| value: 9.184000000000001 | |
| - type: ndcg_at_10 | |
| value: 22.133 | |
| - type: ndcg_at_100 | |
| value: 36.882 | |
| - type: ndcg_at_1000 | |
| value: 48.487 | |
| - type: ndcg_at_3 | |
| value: 18.971 | |
| - type: ndcg_at_5 | |
| value: 20.107 | |
| - type: precision_at_1 | |
| value: 12.245000000000001 | |
| - type: precision_at_10 | |
| value: 21.837 | |
| - type: precision_at_100 | |
| value: 8.265 | |
| - type: precision_at_1000 | |
| value: 1.606 | |
| - type: precision_at_3 | |
| value: 22.448999999999998 | |
| - type: precision_at_5 | |
| value: 23.265 | |
| - type: recall_at_1 | |
| value: 1.183 | |
| - type: recall_at_10 | |
| value: 17.01 | |
| - type: recall_at_100 | |
| value: 51.666000000000004 | |
| - type: recall_at_1000 | |
| value: 87.56 | |
| - type: recall_at_3 | |
| value: 6.0280000000000005 | |
| - type: recall_at_5 | |
| value: 9.937999999999999 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/toxic_conversations_50k | |
| name: MTEB ToxicConversationsClassification | |
| config: default | |
| split: test | |
| revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c | |
| metrics: | |
| - type: accuracy | |
| value: 70.6812 | |
| - type: ap | |
| value: 13.776718216594006 | |
| - type: f1 | |
| value: 54.14269849375851 | |
| - task: | |
| type: Classification | |
| dataset: | |
| type: mteb/tweet_sentiment_extraction | |
| name: MTEB TweetSentimentExtractionClassification | |
| config: default | |
| split: test | |
| revision: d604517c81ca91fe16a244d1248fc021f9ecee7a | |
| metrics: | |
| - type: accuracy | |
| value: 57.3372948500283 | |
| - type: f1 | |
| value: 57.39381291375 | |
| - task: | |
| type: Clustering | |
| dataset: | |
| type: mteb/twentynewsgroups-clustering | |
| name: MTEB TwentyNewsgroupsClustering | |
| config: default | |
| split: test | |
| revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 | |
| metrics: | |
| - type: v_measure | |
| value: 41.49681931876514 | |
| - task: | |
| type: PairClassification | |
| dataset: | |
| type: mteb/twittersemeval2015-pairclassification | |
| name: MTEB TwitterSemEval2015 | |
| config: default | |
| split: test | |
| revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 | |
| metrics: | |
| - type: cos_sim_accuracy | |
| value: 84.65756690707516 | |
| - type: cos_sim_ap | |
| value: 70.06190309300052 | |
| - type: cos_sim_f1 | |
| value: 65.49254432311848 | |
| - type: cos_sim_precision | |
| value: 59.00148085466469 | |
| - type: cos_sim_recall | |
| value: 73.58839050131925 | |
| - type: dot_accuracy | |
| value: 84.65756690707516 | |
| - type: dot_ap | |
| value: 70.06187157356817 | |
| - type: dot_f1 | |
| value: 65.49254432311848 | |
| - type: dot_precision | |
| value: 59.00148085466469 | |
| - type: dot_recall | |
| value: 73.58839050131925 | |
| - type: euclidean_accuracy | |
| value: 84.65756690707516 | |
| - type: euclidean_ap | |
| value: 70.06190439203068 | |
| - type: euclidean_f1 | |
| value: 65.49254432311848 | |
| - type: euclidean_precision | |
| value: 59.00148085466469 | |
| - type: euclidean_recall | |
| value: 73.58839050131925 | |
| - type: manhattan_accuracy | |
| value: 84.58604041246946 | |
| - type: manhattan_ap | |
| value: 69.93103436414437 | |
| - type: manhattan_f1 | |
| value: 65.48780487804878 | |
| - type: manhattan_precision | |
| value: 60.8843537414966 | |
| - type: manhattan_recall | |
| value: 70.84432717678101 | |
| - type: max_accuracy | |
| value: 84.65756690707516 | |
| - type: max_ap | |
| value: 70.06190439203068 | |
| - type: max_f1 | |
| value: 65.49254432311848 | |
| - task: | |
| type: PairClassification | |
| dataset: | |
| type: mteb/twitterurlcorpus-pairclassification | |
| name: MTEB TwitterURLCorpus | |
| config: default | |
| split: test | |
| revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf | |
| metrics: | |
| - type: cos_sim_accuracy | |
| value: 88.78410369852912 | |
| - type: cos_sim_ap | |
| value: 85.45825760499459 | |
| - type: cos_sim_f1 | |
| value: 77.73455035163849 | |
| - type: cos_sim_precision | |
| value: 75.5966239813737 | |
| - type: cos_sim_recall | |
| value: 79.9969202340622 | |
| - type: dot_accuracy | |
| value: 88.78410369852912 | |
| - type: dot_ap | |
| value: 85.45825790635979 | |
| - type: dot_f1 | |
| value: 77.73455035163849 | |
| - type: dot_precision | |
| value: 75.5966239813737 | |
| - type: dot_recall | |
| value: 79.9969202340622 | |
| - type: euclidean_accuracy | |
| value: 88.78410369852912 | |
| - type: euclidean_ap | |
| value: 85.45826341243391 | |
| - type: euclidean_f1 | |
| value: 77.73455035163849 | |
| - type: euclidean_precision | |
| value: 75.5966239813737 | |
| - type: euclidean_recall | |
| value: 79.9969202340622 | |
| - type: manhattan_accuracy | |
| value: 88.7026041060271 | |
| - type: manhattan_ap | |
| value: 85.43182830781821 | |
| - type: manhattan_f1 | |
| value: 77.61487303506651 | |
| - type: manhattan_precision | |
| value: 76.20955773226477 | |
| - type: manhattan_recall | |
| value: 79.07299045272559 | |
| - type: max_accuracy | |
| value: 88.78410369852912 | |
| - type: max_ap | |
| value: 85.45826341243391 | |
| - type: max_f1 | |
| value: 77.73455035163849 |