diff --git "a/README.md" "b/README.md" new file mode 100644--- /dev/null +++ "b/README.md" @@ -0,0 +1,2623 @@ +--- +tags: +- mteb +model-index: +- name: mxbai-embed-2d-large-v1 + results: + - task: + type: Classification + dataset: + type: mteb/amazon_counterfactual + name: MTEB AmazonCounterfactualClassification (en) + config: en + split: test + revision: e8379541af4e31359cca9fbcf4b00f2671dba205 + metrics: + - type: accuracy + value: 74.76119402985074 + - type: ap + value: 37.90611182084586 + - type: f1 + value: 68.80795400445113 + - task: + type: Classification + dataset: + type: mteb/amazon_polarity + name: MTEB AmazonPolarityClassification + config: default + split: test + revision: e2d317d38cd51312af73b3d32a06d1a08b442046 + metrics: + - type: accuracy + value: 93.255525 + - type: ap + value: 90.06886124154308 + - type: f1 + value: 93.24785420201029 + - task: + type: Classification + dataset: + type: mteb/amazon_reviews_multi + name: MTEB AmazonReviewsClassification (en) + config: en + split: test + revision: 1399c76144fd37290681b995c656ef9b2e06e26d + metrics: + - type: accuracy + value: 46.162000000000006 + - type: f1 + value: 45.66989189593428 + - task: + type: Retrieval + dataset: + type: arguana + name: MTEB ArguAna + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 37.980000000000004 + - type: map_at_10 + value: 54.918 + - type: map_at_100 + value: 55.401 + - type: map_at_1000 + value: 55.403000000000006 + - type: map_at_3 + value: 50.249 + - type: map_at_5 + value: 53.400000000000006 + - type: mrr_at_1 + value: 38.834 + - type: mrr_at_10 + value: 55.24 + - type: mrr_at_100 + value: 55.737 + - type: mrr_at_1000 + value: 55.738 + - type: mrr_at_3 + value: 50.580999999999996 + - type: mrr_at_5 + value: 53.71 + - type: ndcg_at_1 + value: 37.980000000000004 + - type: ndcg_at_10 + value: 63.629000000000005 + - type: ndcg_at_100 + value: 65.567 + - type: ndcg_at_1000 + value: 65.61399999999999 + - type: ndcg_at_3 + value: 54.275 + - type: ndcg_at_5 + value: 59.91 + - type: precision_at_1 + value: 37.980000000000004 + - type: precision_at_10 + value: 9.110999999999999 + - type: precision_at_100 + value: 0.993 + - type: precision_at_1000 + value: 0.1 + - type: precision_at_3 + value: 21.977 + - type: precision_at_5 + value: 15.903 + - type: recall_at_1 + value: 37.980000000000004 + - type: recall_at_10 + value: 91.11 + - type: recall_at_100 + value: 99.289 + - type: recall_at_1000 + value: 99.644 + - type: recall_at_3 + value: 65.932 + - type: recall_at_5 + value: 79.51599999999999 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-p2p + name: MTEB ArxivClusteringP2P + config: default + split: test + revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d + metrics: + - type: v_measure + value: 48.28746486562395 + - task: + type: Clustering + dataset: + type: mteb/arxiv-clustering-s2s + name: MTEB ArxivClusteringS2S + config: default + split: test + revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 + metrics: + - type: v_measure + value: 42.335244985544165 + - task: + type: Reranking + dataset: + type: mteb/askubuntudupquestions-reranking + name: MTEB AskUbuntuDupQuestions + config: default + split: test + revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 + metrics: + - type: map + value: 63.771155681602096 + - type: mrr + value: 76.55993052807459 + - task: + type: STS + dataset: + type: mteb/biosses-sts + name: MTEB BIOSSES + config: default + split: test + revision: d3fb88f8f02e40887cd149695127462bbcf29b4a + metrics: + - type: cos_sim_pearson + value: 89.76152904846916 + - type: cos_sim_spearman + value: 88.05622328825284 + - type: euclidean_pearson + value: 88.2821986323439 + - type: euclidean_spearman + value: 88.05622328825284 + - type: manhattan_pearson + value: 87.98419111117559 + - type: manhattan_spearman + value: 87.905617446958 + - task: + type: Classification + dataset: + type: mteb/banking77 + name: MTEB Banking77Classification + config: default + split: test + revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 + metrics: + - type: accuracy + value: 86.65259740259741 + - type: f1 + value: 86.62044951853902 + - task: + type: Clustering + dataset: + type: mteb/biorxiv-clustering-p2p + name: MTEB BiorxivClusteringP2P + config: default + split: test + revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 + metrics: + - type: v_measure + value: 39.7270855384167 + - task: + type: Clustering + dataset: + type: mteb/biorxiv-clustering-s2s + name: MTEB BiorxivClusteringS2S + config: default + split: test + revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 + metrics: + - type: v_measure + value: 36.95365397158872 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackAndroidRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 30.604 + - type: map_at_10 + value: 42.126999999999995 + - type: map_at_100 + value: 43.702999999999996 + - type: map_at_1000 + value: 43.851 + - type: map_at_3 + value: 38.663 + - type: map_at_5 + value: 40.67 + - type: mrr_at_1 + value: 37.625 + - type: mrr_at_10 + value: 48.203 + - type: mrr_at_100 + value: 48.925000000000004 + - type: mrr_at_1000 + value: 48.979 + - type: mrr_at_3 + value: 45.494 + - type: mrr_at_5 + value: 47.288999999999994 + - type: ndcg_at_1 + value: 37.625 + - type: ndcg_at_10 + value: 48.649 + - type: ndcg_at_100 + value: 54.041 + - type: ndcg_at_1000 + value: 56.233999999999995 + - type: ndcg_at_3 + value: 43.704 + - type: ndcg_at_5 + value: 46.172999999999995 + - type: precision_at_1 + value: 37.625 + - type: precision_at_10 + value: 9.371 + - type: precision_at_100 + value: 1.545 + - type: precision_at_1000 + value: 0.20400000000000001 + - type: precision_at_3 + value: 21.364 + - type: precision_at_5 + value: 15.421999999999999 + - type: recall_at_1 + value: 30.604 + - type: recall_at_10 + value: 60.94199999999999 + - type: recall_at_100 + value: 82.893 + - type: recall_at_1000 + value: 96.887 + - type: recall_at_3 + value: 46.346 + - type: recall_at_5 + value: 53.495000000000005 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackEnglishRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 29.959000000000003 + - type: map_at_10 + value: 40.217999999999996 + - type: map_at_100 + value: 41.337 + - type: map_at_1000 + value: 41.471999999999994 + - type: map_at_3 + value: 37.029 + - type: map_at_5 + value: 38.873000000000005 + - type: mrr_at_1 + value: 37.325 + - type: mrr_at_10 + value: 45.637 + - type: mrr_at_100 + value: 46.243 + - type: mrr_at_1000 + value: 46.297 + - type: mrr_at_3 + value: 43.323 + - type: mrr_at_5 + value: 44.734 + - type: ndcg_at_1 + value: 37.325 + - type: ndcg_at_10 + value: 45.864 + - type: ndcg_at_100 + value: 49.832 + - type: ndcg_at_1000 + value: 52.056000000000004 + - type: ndcg_at_3 + value: 41.329 + - type: ndcg_at_5 + value: 43.547000000000004 + - type: precision_at_1 + value: 37.325 + - type: precision_at_10 + value: 8.732 + - type: precision_at_100 + value: 1.369 + - type: precision_at_1000 + value: 0.185 + - type: precision_at_3 + value: 19.936 + - type: precision_at_5 + value: 14.306 + - type: recall_at_1 + value: 29.959000000000003 + - type: recall_at_10 + value: 56.113 + - type: recall_at_100 + value: 73.231 + - type: recall_at_1000 + value: 87.373 + - type: recall_at_3 + value: 42.88 + - type: recall_at_5 + value: 49.004 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackGamingRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 38.679 + - type: map_at_10 + value: 50.696 + - type: map_at_100 + value: 51.788000000000004 + - type: map_at_1000 + value: 51.849999999999994 + - type: map_at_3 + value: 47.414 + - type: map_at_5 + value: 49.284 + - type: mrr_at_1 + value: 44.263000000000005 + - type: mrr_at_10 + value: 54.03 + - type: mrr_at_100 + value: 54.752 + - type: mrr_at_1000 + value: 54.784 + - type: mrr_at_3 + value: 51.661 + - type: mrr_at_5 + value: 53.047 + - type: ndcg_at_1 + value: 44.263000000000005 + - type: ndcg_at_10 + value: 56.452999999999996 + - type: ndcg_at_100 + value: 60.736999999999995 + - type: ndcg_at_1000 + value: 61.982000000000006 + - type: ndcg_at_3 + value: 51.085 + - type: ndcg_at_5 + value: 53.715999999999994 + - type: precision_at_1 + value: 44.263000000000005 + - type: precision_at_10 + value: 9.129 + - type: precision_at_100 + value: 1.218 + - type: precision_at_1000 + value: 0.13699999999999998 + - type: precision_at_3 + value: 22.8 + - type: precision_at_5 + value: 15.674 + - type: recall_at_1 + value: 38.679 + - type: recall_at_10 + value: 70.1 + - type: recall_at_100 + value: 88.649 + - type: recall_at_1000 + value: 97.48 + - type: recall_at_3 + value: 55.757999999999996 + - type: recall_at_5 + value: 62.244 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackGisRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 25.796999999999997 + - type: map_at_10 + value: 34.011 + - type: map_at_100 + value: 35.103 + - type: map_at_1000 + value: 35.187000000000005 + - type: map_at_3 + value: 31.218 + - type: map_at_5 + value: 32.801 + - type: mrr_at_1 + value: 28.022999999999996 + - type: mrr_at_10 + value: 36.108000000000004 + - type: mrr_at_100 + value: 37.094 + - type: mrr_at_1000 + value: 37.158 + - type: mrr_at_3 + value: 33.635 + - type: mrr_at_5 + value: 35.081 + - type: ndcg_at_1 + value: 28.022999999999996 + - type: ndcg_at_10 + value: 38.887 + - type: ndcg_at_100 + value: 44.159 + - type: ndcg_at_1000 + value: 46.300000000000004 + - type: ndcg_at_3 + value: 33.623 + - type: ndcg_at_5 + value: 36.281 + - type: precision_at_1 + value: 28.022999999999996 + - type: precision_at_10 + value: 6.010999999999999 + - type: precision_at_100 + value: 0.901 + - type: precision_at_1000 + value: 0.11299999999999999 + - type: precision_at_3 + value: 14.124 + - type: precision_at_5 + value: 10.034 + - type: recall_at_1 + value: 25.796999999999997 + - type: recall_at_10 + value: 51.86300000000001 + - type: recall_at_100 + value: 75.995 + - type: recall_at_1000 + value: 91.93299999999999 + - type: recall_at_3 + value: 37.882 + - type: recall_at_5 + value: 44.34 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackMathematicaRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 15.468000000000002 + - type: map_at_10 + value: 24.026 + - type: map_at_100 + value: 25.237 + - type: map_at_1000 + value: 25.380000000000003 + - type: map_at_3 + value: 21.342 + - type: map_at_5 + value: 22.843 + - type: mrr_at_1 + value: 19.154 + - type: mrr_at_10 + value: 28.429 + - type: mrr_at_100 + value: 29.416999999999998 + - type: mrr_at_1000 + value: 29.491 + - type: mrr_at_3 + value: 25.746000000000002 + - type: mrr_at_5 + value: 27.282 + - type: ndcg_at_1 + value: 19.154 + - type: ndcg_at_10 + value: 29.512 + - type: ndcg_at_100 + value: 35.331 + - type: ndcg_at_1000 + value: 38.435 + - type: ndcg_at_3 + value: 24.566 + - type: ndcg_at_5 + value: 26.891 + - type: precision_at_1 + value: 19.154 + - type: precision_at_10 + value: 5.647 + - type: precision_at_100 + value: 0.984 + - type: precision_at_1000 + value: 0.13899999999999998 + - type: precision_at_3 + value: 12.065 + - type: precision_at_5 + value: 8.98 + - type: recall_at_1 + value: 15.468000000000002 + - type: recall_at_10 + value: 41.908 + - type: recall_at_100 + value: 67.17 + - type: recall_at_1000 + value: 89.05499999999999 + - type: recall_at_3 + value: 28.436 + - type: recall_at_5 + value: 34.278 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackPhysicsRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 28.116000000000003 + - type: map_at_10 + value: 39.034 + - type: map_at_100 + value: 40.461000000000006 + - type: map_at_1000 + value: 40.563 + - type: map_at_3 + value: 35.742000000000004 + - type: map_at_5 + value: 37.762 + - type: mrr_at_1 + value: 34.264 + - type: mrr_at_10 + value: 44.173 + - type: mrr_at_100 + value: 45.111000000000004 + - type: mrr_at_1000 + value: 45.149 + - type: mrr_at_3 + value: 41.626999999999995 + - type: mrr_at_5 + value: 43.234 + - type: ndcg_at_1 + value: 34.264 + - type: ndcg_at_10 + value: 45.011 + - type: ndcg_at_100 + value: 50.91 + - type: ndcg_at_1000 + value: 52.886 + - type: ndcg_at_3 + value: 39.757999999999996 + - type: ndcg_at_5 + value: 42.569 + - type: precision_at_1 + value: 34.264 + - type: precision_at_10 + value: 8.114 + - type: precision_at_100 + value: 1.2890000000000001 + - type: precision_at_1000 + value: 0.163 + - type: precision_at_3 + value: 18.864 + - type: precision_at_5 + value: 13.628000000000002 + - type: recall_at_1 + value: 28.116000000000003 + - type: recall_at_10 + value: 57.764 + - type: recall_at_100 + value: 82.393 + - type: recall_at_1000 + value: 95.345 + - type: recall_at_3 + value: 43.35 + - type: recall_at_5 + value: 50.368 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackProgrammersRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 23.557 + - type: map_at_10 + value: 33.94 + - type: map_at_100 + value: 35.382000000000005 + - type: map_at_1000 + value: 35.497 + - type: map_at_3 + value: 30.635 + - type: map_at_5 + value: 32.372 + - type: mrr_at_1 + value: 29.224 + - type: mrr_at_10 + value: 39.017 + - type: mrr_at_100 + value: 39.908 + - type: mrr_at_1000 + value: 39.96 + - type: mrr_at_3 + value: 36.225 + - type: mrr_at_5 + value: 37.869 + - type: ndcg_at_1 + value: 29.224 + - type: ndcg_at_10 + value: 40.097 + - type: ndcg_at_100 + value: 46.058 + - type: ndcg_at_1000 + value: 48.309999999999995 + - type: ndcg_at_3 + value: 34.551 + - type: ndcg_at_5 + value: 36.937 + - type: precision_at_1 + value: 29.224 + - type: precision_at_10 + value: 7.6259999999999994 + - type: precision_at_100 + value: 1.226 + - type: precision_at_1000 + value: 0.161 + - type: precision_at_3 + value: 16.781 + - type: precision_at_5 + value: 12.26 + - type: recall_at_1 + value: 23.557 + - type: recall_at_10 + value: 53.46300000000001 + - type: recall_at_100 + value: 78.797 + - type: recall_at_1000 + value: 93.743 + - type: recall_at_3 + value: 37.95 + - type: recall_at_5 + value: 44.121 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 24.81583333333333 + - type: map_at_10 + value: 34.057833333333335 + - type: map_at_100 + value: 35.29658333333334 + - type: map_at_1000 + value: 35.418666666666674 + - type: map_at_3 + value: 31.16416666666667 + - type: map_at_5 + value: 32.797 + - type: mrr_at_1 + value: 29.40216666666667 + - type: mrr_at_10 + value: 38.11191666666667 + - type: mrr_at_100 + value: 38.983250000000005 + - type: mrr_at_1000 + value: 39.043 + - type: mrr_at_3 + value: 35.663333333333334 + - type: mrr_at_5 + value: 37.08975 + - type: ndcg_at_1 + value: 29.40216666666667 + - type: ndcg_at_10 + value: 39.462416666666655 + - type: ndcg_at_100 + value: 44.74341666666666 + - type: ndcg_at_1000 + value: 47.12283333333333 + - type: ndcg_at_3 + value: 34.57383333333334 + - type: ndcg_at_5 + value: 36.91816666666667 + - type: precision_at_1 + value: 29.40216666666667 + - type: precision_at_10 + value: 7.008416666666667 + - type: precision_at_100 + value: 1.143333333333333 + - type: precision_at_1000 + value: 0.15391666666666665 + - type: precision_at_3 + value: 16.011083333333335 + - type: precision_at_5 + value: 11.506666666666664 + - type: recall_at_1 + value: 24.81583333333333 + - type: recall_at_10 + value: 51.39391666666666 + - type: recall_at_100 + value: 74.52983333333333 + - type: recall_at_1000 + value: 91.00650000000002 + - type: recall_at_3 + value: 37.87458333333334 + - type: recall_at_5 + value: 43.865833333333335 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackStatsRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 24.04 + - type: map_at_10 + value: 30.651 + - type: map_at_100 + value: 31.561 + - type: map_at_1000 + value: 31.667 + - type: map_at_3 + value: 28.358 + - type: map_at_5 + value: 29.644 + - type: mrr_at_1 + value: 26.840000000000003 + - type: mrr_at_10 + value: 33.397 + - type: mrr_at_100 + value: 34.166999999999994 + - type: mrr_at_1000 + value: 34.252 + - type: mrr_at_3 + value: 31.339 + - type: mrr_at_5 + value: 32.451 + - type: ndcg_at_1 + value: 26.840000000000003 + - type: ndcg_at_10 + value: 34.821999999999996 + - type: ndcg_at_100 + value: 39.155 + - type: ndcg_at_1000 + value: 41.837999999999994 + - type: ndcg_at_3 + value: 30.55 + - type: ndcg_at_5 + value: 32.588 + - type: precision_at_1 + value: 26.840000000000003 + - type: precision_at_10 + value: 5.383 + - type: precision_at_100 + value: 0.827 + - type: precision_at_1000 + value: 0.11199999999999999 + - type: precision_at_3 + value: 12.986 + - type: precision_at_5 + value: 9.11 + - type: recall_at_1 + value: 24.04 + - type: recall_at_10 + value: 45.133 + - type: recall_at_100 + value: 64.519 + - type: recall_at_1000 + value: 84.397 + - type: recall_at_3 + value: 33.465 + - type: recall_at_5 + value: 38.504 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackTexRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 15.744 + - type: map_at_10 + value: 22.557 + - type: map_at_100 + value: 23.705000000000002 + - type: map_at_1000 + value: 23.833 + - type: map_at_3 + value: 20.342 + - type: map_at_5 + value: 21.584 + - type: mrr_at_1 + value: 19.133 + - type: mrr_at_10 + value: 26.316 + - type: mrr_at_100 + value: 27.285999999999998 + - type: mrr_at_1000 + value: 27.367 + - type: mrr_at_3 + value: 24.214 + - type: mrr_at_5 + value: 25.419999999999998 + - type: ndcg_at_1 + value: 19.133 + - type: ndcg_at_10 + value: 27.002 + - type: ndcg_at_100 + value: 32.544000000000004 + - type: ndcg_at_1000 + value: 35.624 + - type: ndcg_at_3 + value: 23.015 + - type: ndcg_at_5 + value: 24.916 + - type: precision_at_1 + value: 19.133 + - type: precision_at_10 + value: 4.952 + - type: precision_at_100 + value: 0.918 + - type: precision_at_1000 + value: 0.136 + - type: precision_at_3 + value: 10.908 + - type: precision_at_5 + value: 8.004 + - type: recall_at_1 + value: 15.744 + - type: recall_at_10 + value: 36.63 + - type: recall_at_100 + value: 61.58 + - type: recall_at_1000 + value: 83.648 + - type: recall_at_3 + value: 25.545 + - type: recall_at_5 + value: 30.392000000000003 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackUnixRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 24.944 + - type: map_at_10 + value: 33.611000000000004 + - type: map_at_100 + value: 34.737 + - type: map_at_1000 + value: 34.847 + - type: map_at_3 + value: 30.746000000000002 + - type: map_at_5 + value: 32.357 + - type: mrr_at_1 + value: 29.198 + - type: mrr_at_10 + value: 37.632 + - type: mrr_at_100 + value: 38.53 + - type: mrr_at_1000 + value: 38.59 + - type: mrr_at_3 + value: 35.292 + - type: mrr_at_5 + value: 36.519 + - type: ndcg_at_1 + value: 29.198 + - type: ndcg_at_10 + value: 38.946999999999996 + - type: ndcg_at_100 + value: 44.348 + - type: ndcg_at_1000 + value: 46.787 + - type: ndcg_at_3 + value: 33.794999999999995 + - type: ndcg_at_5 + value: 36.166 + - type: precision_at_1 + value: 29.198 + - type: precision_at_10 + value: 6.595 + - type: precision_at_100 + value: 1.055 + - type: precision_at_1000 + value: 0.13899999999999998 + - type: precision_at_3 + value: 15.235999999999999 + - type: precision_at_5 + value: 10.896 + - type: recall_at_1 + value: 24.944 + - type: recall_at_10 + value: 51.284 + - type: recall_at_100 + value: 75.197 + - type: recall_at_1000 + value: 92.10000000000001 + - type: recall_at_3 + value: 37.213 + - type: recall_at_5 + value: 43.129 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackWebmastersRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 21.979000000000003 + - type: map_at_10 + value: 31.349 + - type: map_at_100 + value: 32.969 + - type: map_at_1000 + value: 33.2 + - type: map_at_3 + value: 28.237000000000002 + - type: map_at_5 + value: 30.09 + - type: mrr_at_1 + value: 27.075 + - type: mrr_at_10 + value: 35.946 + - type: mrr_at_100 + value: 36.897000000000006 + - type: mrr_at_1000 + value: 36.951 + - type: mrr_at_3 + value: 32.971000000000004 + - type: mrr_at_5 + value: 34.868 + - type: ndcg_at_1 + value: 27.075 + - type: ndcg_at_10 + value: 37.317 + - type: ndcg_at_100 + value: 43.448 + - type: ndcg_at_1000 + value: 45.940999999999995 + - type: ndcg_at_3 + value: 32.263 + - type: ndcg_at_5 + value: 34.981 + - type: precision_at_1 + value: 27.075 + - type: precision_at_10 + value: 7.568999999999999 + - type: precision_at_100 + value: 1.5650000000000002 + - type: precision_at_1000 + value: 0.241 + - type: precision_at_3 + value: 15.547 + - type: precision_at_5 + value: 11.818 + - type: recall_at_1 + value: 21.979000000000003 + - type: recall_at_10 + value: 48.522999999999996 + - type: recall_at_100 + value: 76.51 + - type: recall_at_1000 + value: 92.168 + - type: recall_at_3 + value: 34.499 + - type: recall_at_5 + value: 41.443999999999996 + - task: + type: Retrieval + dataset: + type: BeIR/cqadupstack + name: MTEB CQADupstackWordpressRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 18.903 + - type: map_at_10 + value: 26.473999999999997 + - type: map_at_100 + value: 27.576 + - type: map_at_1000 + value: 27.677000000000003 + - type: map_at_3 + value: 24.244 + - type: map_at_5 + value: 25.284000000000002 + - type: mrr_at_1 + value: 20.702 + - type: mrr_at_10 + value: 28.455000000000002 + - type: mrr_at_100 + value: 29.469 + - type: mrr_at_1000 + value: 29.537999999999997 + - type: mrr_at_3 + value: 26.433 + - type: mrr_at_5 + value: 27.283 + - type: ndcg_at_1 + value: 20.702 + - type: ndcg_at_10 + value: 30.988 + - type: ndcg_at_100 + value: 36.358000000000004 + - type: ndcg_at_1000 + value: 39.080999999999996 + - type: ndcg_at_3 + value: 26.647 + - type: ndcg_at_5 + value: 28.253 + - type: precision_at_1 + value: 20.702 + - type: precision_at_10 + value: 4.972 + - type: precision_at_100 + value: 0.823 + - type: precision_at_1000 + value: 0.117 + - type: precision_at_3 + value: 11.522 + - type: precision_at_5 + value: 7.9479999999999995 + - type: recall_at_1 + value: 18.903 + - type: recall_at_10 + value: 43.004 + - type: recall_at_100 + value: 67.42399999999999 + - type: recall_at_1000 + value: 87.949 + - type: recall_at_3 + value: 31.171 + - type: recall_at_5 + value: 35.071000000000005 + - task: + type: Retrieval + dataset: + type: climate-fever + name: MTEB ClimateFEVER + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 12.942 + - type: map_at_10 + value: 22.017999999999997 + - type: map_at_100 + value: 23.968 + - type: map_at_1000 + value: 24.169 + - type: map_at_3 + value: 18.282 + - type: map_at_5 + value: 20.191 + - type: mrr_at_1 + value: 29.121000000000002 + - type: mrr_at_10 + value: 40.897 + - type: mrr_at_100 + value: 41.787 + - type: mrr_at_1000 + value: 41.819 + - type: mrr_at_3 + value: 37.535000000000004 + - type: mrr_at_5 + value: 39.626 + - type: ndcg_at_1 + value: 29.121000000000002 + - type: ndcg_at_10 + value: 30.728 + - type: ndcg_at_100 + value: 38.231 + - type: ndcg_at_1000 + value: 41.735 + - type: ndcg_at_3 + value: 25.141000000000002 + - type: ndcg_at_5 + value: 27.093 + - type: precision_at_1 + value: 29.121000000000002 + - type: precision_at_10 + value: 9.674000000000001 + - type: precision_at_100 + value: 1.775 + - type: precision_at_1000 + value: 0.243 + - type: precision_at_3 + value: 18.826999999999998 + - type: precision_at_5 + value: 14.515 + - type: recall_at_1 + value: 12.942 + - type: recall_at_10 + value: 36.692 + - type: recall_at_100 + value: 62.688 + - type: recall_at_1000 + value: 82.203 + - type: recall_at_3 + value: 22.820999999999998 + - type: recall_at_5 + value: 28.625 + - task: + type: Retrieval + dataset: + type: dbpedia-entity + name: MTEB DBPedia + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 8.6 + - type: map_at_10 + value: 18.672 + - type: map_at_100 + value: 27.199 + - type: map_at_1000 + value: 29.032999999999998 + - type: map_at_3 + value: 13.045000000000002 + - type: map_at_5 + value: 15.271 + - type: mrr_at_1 + value: 69.0 + - type: mrr_at_10 + value: 75.304 + - type: mrr_at_100 + value: 75.68 + - type: mrr_at_1000 + value: 75.688 + - type: mrr_at_3 + value: 73.708 + - type: mrr_at_5 + value: 74.333 + - type: ndcg_at_1 + value: 56.25 + - type: ndcg_at_10 + value: 40.741 + - type: ndcg_at_100 + value: 45.933 + - type: ndcg_at_1000 + value: 53.764 + - type: ndcg_at_3 + value: 44.664 + - type: ndcg_at_5 + value: 42.104 + - type: precision_at_1 + value: 69.0 + - type: precision_at_10 + value: 33.0 + - type: precision_at_100 + value: 10.75 + - type: precision_at_1000 + value: 2.1999999999999997 + - type: precision_at_3 + value: 48.167 + - type: precision_at_5 + value: 41.099999999999994 + - type: recall_at_1 + value: 8.6 + - type: recall_at_10 + value: 24.447 + - type: recall_at_100 + value: 52.697 + - type: recall_at_1000 + value: 77.717 + - type: recall_at_3 + value: 14.13 + - type: recall_at_5 + value: 17.485999999999997 + - task: + type: Classification + dataset: + type: mteb/emotion + name: MTEB EmotionClassification + config: default + split: test + revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 + metrics: + - type: accuracy + value: 49.32 + - type: f1 + value: 43.92815810776849 + - task: + type: Retrieval + dataset: + type: fever + name: MTEB FEVER + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 68.987 + - type: map_at_10 + value: 78.025 + - type: map_at_100 + value: 78.28500000000001 + - type: map_at_1000 + value: 78.3 + - type: map_at_3 + value: 76.735 + - type: map_at_5 + value: 77.558 + - type: mrr_at_1 + value: 74.482 + - type: mrr_at_10 + value: 82.673 + - type: mrr_at_100 + value: 82.799 + - type: mrr_at_1000 + value: 82.804 + - type: mrr_at_3 + value: 81.661 + - type: mrr_at_5 + value: 82.369 + - type: ndcg_at_1 + value: 74.482 + - type: ndcg_at_10 + value: 82.238 + - type: ndcg_at_100 + value: 83.245 + - type: ndcg_at_1000 + value: 83.557 + - type: ndcg_at_3 + value: 80.066 + - type: ndcg_at_5 + value: 81.316 + - type: precision_at_1 + value: 74.482 + - type: precision_at_10 + value: 10.006 + - type: precision_at_100 + value: 1.0699999999999998 + - type: precision_at_1000 + value: 0.11100000000000002 + - type: precision_at_3 + value: 30.808000000000003 + - type: precision_at_5 + value: 19.256 + - type: recall_at_1 + value: 68.987 + - type: recall_at_10 + value: 90.646 + - type: recall_at_100 + value: 94.85900000000001 + - type: recall_at_1000 + value: 96.979 + - type: recall_at_3 + value: 84.76599999999999 + - type: recall_at_5 + value: 87.929 + - task: + type: Retrieval + dataset: + type: fiqa + name: MTEB FiQA2018 + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 20.3 + - type: map_at_10 + value: 33.499 + - type: map_at_100 + value: 35.510000000000005 + - type: map_at_1000 + value: 35.693999999999996 + - type: map_at_3 + value: 29.083 + - type: map_at_5 + value: 31.367 + - type: mrr_at_1 + value: 39.660000000000004 + - type: mrr_at_10 + value: 49.517 + - type: mrr_at_100 + value: 50.18899999999999 + - type: mrr_at_1000 + value: 50.224000000000004 + - type: mrr_at_3 + value: 46.965 + - type: mrr_at_5 + value: 48.184 + - type: ndcg_at_1 + value: 39.660000000000004 + - type: ndcg_at_10 + value: 41.75 + - type: ndcg_at_100 + value: 48.477 + - type: ndcg_at_1000 + value: 51.373999999999995 + - type: ndcg_at_3 + value: 37.532 + - type: ndcg_at_5 + value: 38.564 + - type: precision_at_1 + value: 39.660000000000004 + - type: precision_at_10 + value: 11.774999999999999 + - type: precision_at_100 + value: 1.883 + - type: precision_at_1000 + value: 0.23900000000000002 + - type: precision_at_3 + value: 25.102999999999998 + - type: precision_at_5 + value: 18.395 + - type: recall_at_1 + value: 20.3 + - type: recall_at_10 + value: 49.633 + - type: recall_at_100 + value: 73.932 + - type: recall_at_1000 + value: 91.174 + - type: recall_at_3 + value: 34.516999999999996 + - type: recall_at_5 + value: 40.217000000000006 + - task: + type: Retrieval + dataset: + type: hotpotqa + name: MTEB HotpotQA + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 34.699999999999996 + - type: map_at_10 + value: 54.400000000000006 + - type: map_at_100 + value: 55.45 + - type: map_at_1000 + value: 55.525999999999996 + - type: map_at_3 + value: 50.99 + - type: map_at_5 + value: 53.054 + - type: mrr_at_1 + value: 69.399 + - type: mrr_at_10 + value: 76.454 + - type: mrr_at_100 + value: 76.771 + - type: mrr_at_1000 + value: 76.783 + - type: mrr_at_3 + value: 75.179 + - type: mrr_at_5 + value: 75.978 + - type: ndcg_at_1 + value: 69.399 + - type: ndcg_at_10 + value: 63.001 + - type: ndcg_at_100 + value: 66.842 + - type: ndcg_at_1000 + value: 68.33500000000001 + - type: ndcg_at_3 + value: 57.961 + - type: ndcg_at_5 + value: 60.67700000000001 + - type: precision_at_1 + value: 69.399 + - type: precision_at_10 + value: 13.4 + - type: precision_at_100 + value: 1.6420000000000001 + - type: precision_at_1000 + value: 0.184 + - type: precision_at_3 + value: 37.218 + - type: precision_at_5 + value: 24.478 + - type: recall_at_1 + value: 34.699999999999996 + - type: recall_at_10 + value: 67.002 + - type: recall_at_100 + value: 82.113 + - type: recall_at_1000 + value: 91.945 + - type: recall_at_3 + value: 55.827000000000005 + - type: recall_at_5 + value: 61.195 + - task: + type: Classification + dataset: + type: mteb/imdb + name: MTEB ImdbClassification + config: default + split: test + revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 + metrics: + - type: accuracy + value: 90.40480000000001 + - type: ap + value: 86.34472513785936 + - type: f1 + value: 90.3766943422773 + - task: + type: Retrieval + dataset: + type: msmarco + name: MTEB MSMARCO + config: default + split: dev + revision: None + metrics: + - type: map_at_1 + value: 19.796 + - type: map_at_10 + value: 31.344 + - type: map_at_100 + value: 32.525999999999996 + - type: map_at_1000 + value: 32.582 + - type: map_at_3 + value: 27.514 + - type: map_at_5 + value: 29.683 + - type: mrr_at_1 + value: 20.358 + - type: mrr_at_10 + value: 31.924999999999997 + - type: mrr_at_100 + value: 33.056000000000004 + - type: mrr_at_1000 + value: 33.105000000000004 + - type: mrr_at_3 + value: 28.149 + - type: mrr_at_5 + value: 30.303 + - type: ndcg_at_1 + value: 20.372 + - type: ndcg_at_10 + value: 38.025999999999996 + - type: ndcg_at_100 + value: 43.813 + - type: ndcg_at_1000 + value: 45.21 + - type: ndcg_at_3 + value: 30.218 + - type: ndcg_at_5 + value: 34.088 + - type: precision_at_1 + value: 20.372 + - type: precision_at_10 + value: 6.123 + - type: precision_at_100 + value: 0.903 + - type: precision_at_1000 + value: 0.10200000000000001 + - type: precision_at_3 + value: 12.918 + - type: precision_at_5 + value: 9.702 + - type: recall_at_1 + value: 19.796 + - type: recall_at_10 + value: 58.644 + - type: recall_at_100 + value: 85.611 + - type: recall_at_1000 + value: 96.314 + - type: recall_at_3 + value: 37.419999999999995 + - type: recall_at_5 + value: 46.697 + - task: + type: Classification + dataset: + type: mteb/mtop_domain + name: MTEB MTOPDomainClassification (en) + config: en + split: test + revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf + metrics: + - type: accuracy + value: 93.0984952120383 + - type: f1 + value: 92.9409029889071 + - task: + type: Classification + dataset: + type: mteb/mtop_intent + name: MTEB MTOPIntentClassification (en) + config: en + split: test + revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba + metrics: + - type: accuracy + value: 73.24441404468764 + - type: f1 + value: 54.66568676132254 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_intent + name: MTEB MassiveIntentClassification (en) + config: en + split: test + revision: 31efe3c427b0bae9c22cbb560b8f15491cc6bed7 + metrics: + - type: accuracy + value: 73.86684599865501 + - type: f1 + value: 72.16086061041996 + - task: + type: Classification + dataset: + type: mteb/amazon_massive_scenario + name: MTEB MassiveScenarioClassification (en) + config: en + split: test + revision: 7d571f92784cd94a019292a1f45445077d0ef634 + metrics: + - type: accuracy + value: 78.16745124411568 + - type: f1 + value: 78.76361933295068 + - task: + type: Clustering + dataset: + type: mteb/medrxiv-clustering-p2p + name: MTEB MedrxivClusteringP2P + config: default + split: test + revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 + metrics: + - type: v_measure + value: 33.66329421728342 + - task: + type: Clustering + dataset: + type: mteb/medrxiv-clustering-s2s + name: MTEB MedrxivClusteringS2S + config: default + split: test + revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 + metrics: + - type: v_measure + value: 32.21637418682758 + - task: + type: Reranking + dataset: + type: mteb/mind_small + name: MTEB MindSmallReranking + config: default + split: test + revision: 3bdac13927fdc888b903db93b2ffdbd90b295a69 + metrics: + - type: map + value: 31.85308363141191 + - type: mrr + value: 33.06713899953772 + - task: + type: Retrieval + dataset: + type: nfcorpus + name: MTEB NFCorpus + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 6.392 + - type: map_at_10 + value: 14.539 + - type: map_at_100 + value: 18.811 + - type: map_at_1000 + value: 20.471 + - type: map_at_3 + value: 10.26 + - type: map_at_5 + value: 12.224 + - type: mrr_at_1 + value: 46.749 + - type: mrr_at_10 + value: 55.72200000000001 + - type: mrr_at_100 + value: 56.325 + - type: mrr_at_1000 + value: 56.35 + - type: mrr_at_3 + value: 53.30200000000001 + - type: mrr_at_5 + value: 54.742000000000004 + - type: ndcg_at_1 + value: 44.891999999999996 + - type: ndcg_at_10 + value: 37.355 + - type: ndcg_at_100 + value: 35.285 + - type: ndcg_at_1000 + value: 44.246 + - type: ndcg_at_3 + value: 41.291 + - type: ndcg_at_5 + value: 39.952 + - type: precision_at_1 + value: 46.749 + - type: precision_at_10 + value: 28.111000000000004 + - type: precision_at_100 + value: 9.127 + - type: precision_at_1000 + value: 2.23 + - type: precision_at_3 + value: 38.803 + - type: precision_at_5 + value: 35.046 + - type: recall_at_1 + value: 6.392 + - type: recall_at_10 + value: 19.066 + - type: recall_at_100 + value: 37.105 + - type: recall_at_1000 + value: 69.37299999999999 + - type: recall_at_3 + value: 11.213 + - type: recall_at_5 + value: 14.648 + - task: + type: Retrieval + dataset: + type: nq + name: MTEB NQ + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 31.387999999999998 + - type: map_at_10 + value: 47.172 + - type: map_at_100 + value: 48.158 + - type: map_at_1000 + value: 48.186 + - type: map_at_3 + value: 42.952 + - type: map_at_5 + value: 45.405 + - type: mrr_at_1 + value: 35.458 + - type: mrr_at_10 + value: 49.583 + - type: mrr_at_100 + value: 50.324999999999996 + - type: mrr_at_1000 + value: 50.344 + - type: mrr_at_3 + value: 46.195 + - type: mrr_at_5 + value: 48.258 + - type: ndcg_at_1 + value: 35.458 + - type: ndcg_at_10 + value: 54.839000000000006 + - type: ndcg_at_100 + value: 58.974000000000004 + - type: ndcg_at_1000 + value: 59.64699999999999 + - type: ndcg_at_3 + value: 47.012 + - type: ndcg_at_5 + value: 51.080999999999996 + - type: precision_at_1 + value: 35.458 + - type: precision_at_10 + value: 9.056000000000001 + - type: precision_at_100 + value: 1.137 + - type: precision_at_1000 + value: 0.12 + - type: precision_at_3 + value: 21.582 + - type: precision_at_5 + value: 15.295 + - type: recall_at_1 + value: 31.387999999999998 + - type: recall_at_10 + value: 75.661 + - type: recall_at_100 + value: 93.605 + - type: recall_at_1000 + value: 98.658 + - type: recall_at_3 + value: 55.492 + - type: recall_at_5 + value: 64.85600000000001 + - task: + type: Retrieval + dataset: + type: quora + name: MTEB QuoraRetrieval + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 70.547 + - type: map_at_10 + value: 84.495 + - type: map_at_100 + value: 85.14 + - type: map_at_1000 + value: 85.15599999999999 + - type: map_at_3 + value: 81.606 + - type: map_at_5 + value: 83.449 + - type: mrr_at_1 + value: 81.22 + - type: mrr_at_10 + value: 87.31 + - type: mrr_at_100 + value: 87.436 + - type: mrr_at_1000 + value: 87.437 + - type: mrr_at_3 + value: 86.363 + - type: mrr_at_5 + value: 87.06 + - type: ndcg_at_1 + value: 81.24 + - type: ndcg_at_10 + value: 88.145 + - type: ndcg_at_100 + value: 89.423 + - type: ndcg_at_1000 + value: 89.52799999999999 + - type: ndcg_at_3 + value: 85.435 + - type: ndcg_at_5 + value: 87.0 + - type: precision_at_1 + value: 81.24 + - type: precision_at_10 + value: 13.381000000000002 + - type: precision_at_100 + value: 1.529 + - type: precision_at_1000 + value: 0.157 + - type: precision_at_3 + value: 37.44 + - type: precision_at_5 + value: 24.62 + - type: recall_at_1 + value: 70.547 + - type: recall_at_10 + value: 95.083 + - type: recall_at_100 + value: 99.50099999999999 + - type: recall_at_1000 + value: 99.982 + - type: recall_at_3 + value: 87.235 + - type: recall_at_5 + value: 91.701 + - task: + type: Clustering + dataset: + type: mteb/reddit-clustering + name: MTEB RedditClustering + config: default + split: test + revision: 24640382cdbf8abc73003fb0fa6d111a705499eb + metrics: + - type: v_measure + value: 57.93101384071724 + - task: + type: Clustering + dataset: + type: mteb/reddit-clustering-p2p + name: MTEB RedditClusteringP2P + config: default + split: test + revision: 282350215ef01743dc01b456c7f5241fa8937f16 + metrics: + - type: v_measure + value: 62.46951126228829 + - task: + type: Retrieval + dataset: + type: scidocs + name: MTEB SCIDOCS + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 5.018000000000001 + - type: map_at_10 + value: 13.818 + - type: map_at_100 + value: 16.346 + - type: map_at_1000 + value: 16.744999999999997 + - type: map_at_3 + value: 9.456000000000001 + - type: map_at_5 + value: 11.879000000000001 + - type: mrr_at_1 + value: 24.8 + - type: mrr_at_10 + value: 37.092000000000006 + - type: mrr_at_100 + value: 38.199 + - type: mrr_at_1000 + value: 38.243 + - type: mrr_at_3 + value: 33.517 + - type: mrr_at_5 + value: 35.692 + - type: ndcg_at_1 + value: 24.8 + - type: ndcg_at_10 + value: 22.782 + - type: ndcg_at_100 + value: 32.072 + - type: ndcg_at_1000 + value: 38.163000000000004 + - type: ndcg_at_3 + value: 21.046 + - type: ndcg_at_5 + value: 19.134 + - type: precision_at_1 + value: 24.8 + - type: precision_at_10 + value: 12.0 + - type: precision_at_100 + value: 2.5420000000000003 + - type: precision_at_1000 + value: 0.39899999999999997 + - type: precision_at_3 + value: 20.0 + - type: precision_at_5 + value: 17.4 + - type: recall_at_1 + value: 5.018000000000001 + - type: recall_at_10 + value: 24.34 + - type: recall_at_100 + value: 51.613 + - type: recall_at_1000 + value: 80.95 + - type: recall_at_3 + value: 12.153 + - type: recall_at_5 + value: 17.648 + - task: + type: STS + dataset: + type: mteb/sickr-sts + name: MTEB SICK-R + config: default + split: test + revision: a6ea5a8cab320b040a23452cc28066d9beae2cee + metrics: + - type: cos_sim_pearson + value: 86.28259142800503 + - type: cos_sim_spearman + value: 82.04792579356291 + - type: euclidean_pearson + value: 83.7755858026306 + - type: euclidean_spearman + value: 82.04789872846196 + - type: manhattan_pearson + value: 83.79937122515567 + - type: manhattan_spearman + value: 82.05076966288574 + - task: + type: STS + dataset: + type: mteb/sts12-sts + name: MTEB STS12 + config: default + split: test + revision: a0d554a64d88156834ff5ae9920b964011b16384 + metrics: + - type: cos_sim_pearson + value: 87.37773414195387 + - type: cos_sim_spearman + value: 78.76929696642694 + - type: euclidean_pearson + value: 85.75861298616339 + - type: euclidean_spearman + value: 78.76607739031363 + - type: manhattan_pearson + value: 85.74412868736295 + - type: manhattan_spearman + value: 78.74388526796852 + - task: + type: STS + dataset: + type: mteb/sts13-sts + name: MTEB STS13 + config: default + split: test + revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca + metrics: + - type: cos_sim_pearson + value: 89.6176449076649 + - type: cos_sim_spearman + value: 90.39810997063387 + - type: euclidean_pearson + value: 89.753863994154 + - type: euclidean_spearman + value: 90.39810989027997 + - type: manhattan_pearson + value: 89.67750819879801 + - type: manhattan_spearman + value: 90.3286558059104 + - task: + type: STS + dataset: + type: mteb/sts14-sts + name: MTEB STS14 + config: default + split: test + revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 + metrics: + - type: cos_sim_pearson + value: 87.7488246203373 + - type: cos_sim_spearman + value: 85.44794976383963 + - type: euclidean_pearson + value: 87.33205836313964 + - type: euclidean_spearman + value: 85.44793954377185 + - type: manhattan_pearson + value: 87.30760291906203 + - type: manhattan_spearman + value: 85.4308413187653 + - task: + type: STS + dataset: + type: mteb/sts15-sts + name: MTEB STS15 + config: default + split: test + revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 + metrics: + - type: cos_sim_pearson + value: 88.6937750952719 + - type: cos_sim_spearman + value: 90.01162604967037 + - type: euclidean_pearson + value: 89.35321306629116 + - type: euclidean_spearman + value: 90.01161406477627 + - type: manhattan_pearson + value: 89.31351907042307 + - type: manhattan_spearman + value: 89.97264644642166 + - task: + type: STS + dataset: + type: mteb/sts16-sts + name: MTEB STS16 + config: default + split: test + revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 + metrics: + - type: cos_sim_pearson + value: 85.49107564294891 + - type: cos_sim_spearman + value: 87.42092493144571 + - type: euclidean_pearson + value: 86.88112016705634 + - type: euclidean_spearman + value: 87.42092430260175 + - type: manhattan_pearson + value: 86.85846210123235 + - type: manhattan_spearman + value: 87.40059575522972 + - 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: 88.71766466521638 + - type: cos_sim_spearman + value: 88.80244555668372 + - type: euclidean_pearson + value: 89.59428700746064 + - type: euclidean_spearman + value: 88.80244555668372 + - type: manhattan_pearson + value: 89.62272396580352 + - type: manhattan_spearman + value: 88.77584531534937 + - 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: 67.7743776239708 + - type: cos_sim_spearman + value: 68.79768249749681 + - type: euclidean_pearson + value: 70.16430919697441 + - type: euclidean_spearman + value: 68.79768249749681 + - type: manhattan_pearson + value: 70.17205038967042 + - type: manhattan_spearman + value: 68.89740094589914 + - task: + type: STS + dataset: + type: mteb/stsbenchmark-sts + name: MTEB STSBenchmark + config: default + split: test + revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 + metrics: + - type: cos_sim_pearson + value: 86.9087137484716 + - type: cos_sim_spearman + value: 89.19783009521629 + - type: euclidean_pearson + value: 88.89888500166009 + - type: euclidean_spearman + value: 89.19783009521629 + - type: manhattan_pearson + value: 88.88400033783687 + - type: manhattan_spearman + value: 89.16299162200889 + - task: + type: Reranking + dataset: + type: mteb/scidocs-reranking + name: MTEB SciDocsRR + config: default + split: test + revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab + metrics: + - type: map + value: 86.9799916253683 + - type: mrr + value: 96.0708200659181 + - task: + type: Retrieval + dataset: + type: scifact + name: MTEB SciFact + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 59.928000000000004 + - type: map_at_10 + value: 69.56400000000001 + - type: map_at_100 + value: 70.125 + - type: map_at_1000 + value: 70.148 + - type: map_at_3 + value: 66.774 + - type: map_at_5 + value: 68.267 + - type: mrr_at_1 + value: 62.666999999999994 + - type: mrr_at_10 + value: 70.448 + - type: mrr_at_100 + value: 70.94 + - type: mrr_at_1000 + value: 70.962 + - type: mrr_at_3 + value: 68.389 + - type: mrr_at_5 + value: 69.65599999999999 + - type: ndcg_at_1 + value: 62.666999999999994 + - type: ndcg_at_10 + value: 74.117 + - type: ndcg_at_100 + value: 76.248 + - type: ndcg_at_1000 + value: 76.768 + - type: ndcg_at_3 + value: 69.358 + - type: ndcg_at_5 + value: 71.574 + - type: precision_at_1 + value: 62.666999999999994 + - type: precision_at_10 + value: 9.933 + - type: precision_at_100 + value: 1.09 + - type: precision_at_1000 + value: 0.11299999999999999 + - type: precision_at_3 + value: 27.222 + - type: precision_at_5 + value: 17.867 + - type: recall_at_1 + value: 59.928000000000004 + - type: recall_at_10 + value: 87.156 + - type: recall_at_100 + value: 96.167 + - type: recall_at_1000 + value: 100.0 + - type: recall_at_3 + value: 74.117 + - type: recall_at_5 + value: 79.80000000000001 + - task: + type: PairClassification + dataset: + type: mteb/sprintduplicatequestions-pairclassification + name: MTEB SprintDuplicateQuestions + config: default + split: test + revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 + metrics: + - type: cos_sim_accuracy + value: 99.83762376237624 + - type: cos_sim_ap + value: 96.05077689253707 + - type: cos_sim_f1 + value: 91.75879396984925 + - type: cos_sim_precision + value: 92.22222222222223 + - type: cos_sim_recall + value: 91.3 + - type: dot_accuracy + value: 99.83762376237624 + - type: dot_ap + value: 96.05082513542375 + - type: dot_f1 + value: 91.75879396984925 + - type: dot_precision + value: 92.22222222222223 + - type: dot_recall + value: 91.3 + - type: euclidean_accuracy + value: 99.83762376237624 + - type: euclidean_ap + value: 96.05077689253707 + - type: euclidean_f1 + value: 91.75879396984925 + - type: euclidean_precision + value: 92.22222222222223 + - type: euclidean_recall + value: 91.3 + - type: manhattan_accuracy + value: 99.83861386138614 + - type: manhattan_ap + value: 96.07646831090695 + - type: manhattan_f1 + value: 91.86220668996505 + - type: manhattan_precision + value: 91.72482552342971 + - type: manhattan_recall + value: 92.0 + - type: max_accuracy + value: 99.83861386138614 + - type: max_ap + value: 96.07646831090695 + - type: max_f1 + value: 91.86220668996505 + - task: + type: Clustering + dataset: + type: mteb/stackexchange-clustering + name: MTEB StackExchangeClustering + config: default + split: test + revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 + metrics: + - type: v_measure + value: 66.40672513062134 + - task: + type: Clustering + dataset: + type: mteb/stackexchange-clustering-p2p + name: MTEB StackExchangeClusteringP2P + config: default + split: test + revision: 815ca46b2622cec33ccafc3735d572c266efdb44 + metrics: + - type: v_measure + value: 35.31519237029376 + - task: + type: Reranking + dataset: + type: mteb/stackoverflowdupquestions-reranking + name: MTEB StackOverflowDupQuestions + config: default + split: test + revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 + metrics: + - type: map + value: 53.15764586446943 + - type: mrr + value: 53.981596426449364 + - task: + type: Summarization + dataset: + type: mteb/summeval + name: MTEB SummEval + config: default + split: test + revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c + metrics: + - type: cos_sim_pearson + value: 30.92935724124931 + - type: cos_sim_spearman + value: 31.54589922149803 + - type: dot_pearson + value: 30.929365687857675 + - type: dot_spearman + value: 31.54589922149803 + - task: + type: Retrieval + dataset: + type: trec-covid + name: MTEB TRECCOVID + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 0.22100000000000003 + - type: map_at_10 + value: 1.791 + - type: map_at_100 + value: 9.404 + - type: map_at_1000 + value: 22.932 + - type: map_at_3 + value: 0.601 + - type: map_at_5 + value: 1.001 + - type: mrr_at_1 + value: 76.0 + - type: mrr_at_10 + value: 85.667 + - type: mrr_at_100 + value: 85.667 + - type: mrr_at_1000 + value: 85.667 + - type: mrr_at_3 + value: 84.667 + - type: mrr_at_5 + value: 85.667 + - type: ndcg_at_1 + value: 72.0 + - type: ndcg_at_10 + value: 68.637 + - type: ndcg_at_100 + value: 51.418 + - type: ndcg_at_1000 + value: 47.75 + - type: ndcg_at_3 + value: 70.765 + - type: ndcg_at_5 + value: 71.808 + - type: precision_at_1 + value: 76.0 + - type: precision_at_10 + value: 73.8 + - type: precision_at_100 + value: 52.68000000000001 + - type: precision_at_1000 + value: 20.9 + - type: precision_at_3 + value: 74.667 + - type: precision_at_5 + value: 78.0 + - type: recall_at_1 + value: 0.22100000000000003 + - type: recall_at_10 + value: 2.027 + - type: recall_at_100 + value: 12.831000000000001 + - type: recall_at_1000 + value: 44.996 + - type: recall_at_3 + value: 0.635 + - type: recall_at_5 + value: 1.097 + - task: + type: Retrieval + dataset: + type: webis-touche2020 + name: MTEB Touche2020 + config: default + split: test + revision: None + metrics: + - type: map_at_1 + value: 2.289 + - type: map_at_10 + value: 10.475 + - type: map_at_100 + value: 16.993 + - type: map_at_1000 + value: 18.598 + - type: map_at_3 + value: 5.891 + - type: map_at_5 + value: 7.678999999999999 + - type: mrr_at_1 + value: 32.653 + - type: mrr_at_10 + value: 49.475 + - type: mrr_at_100 + value: 50.483 + - type: mrr_at_1000 + value: 50.499 + - type: mrr_at_3 + value: 45.918 + - type: mrr_at_5 + value: 48.469 + - type: ndcg_at_1 + value: 29.592000000000002 + - type: ndcg_at_10 + value: 25.891 + - type: ndcg_at_100 + value: 38.106 + - type: ndcg_at_1000 + value: 49.873 + - type: ndcg_at_3 + value: 29.915999999999997 + - type: ndcg_at_5 + value: 27.982000000000003 + - type: precision_at_1 + value: 32.653 + - type: precision_at_10 + value: 22.448999999999998 + - type: precision_at_100 + value: 7.837 + - type: precision_at_1000 + value: 1.5730000000000002 + - type: precision_at_3 + value: 31.293 + - type: precision_at_5 + value: 27.755000000000003 + - type: recall_at_1 + value: 2.289 + - type: recall_at_10 + value: 16.594 + - type: recall_at_100 + value: 48.619 + - type: recall_at_1000 + value: 85.467 + - type: recall_at_3 + value: 7.144 + - type: recall_at_5 + value: 10.465 + - task: + type: Classification + dataset: + type: mteb/toxic_conversations_50k + name: MTEB ToxicConversationsClassification + config: default + split: test + revision: d7c0de2777da35d6aae2200a62c6e0e5af397c4c + metrics: + - type: accuracy + value: 71.5268 + - type: ap + value: 14.763212211567907 + - type: f1 + value: 55.200562727472736 + - task: + type: Classification + dataset: + type: mteb/tweet_sentiment_extraction + name: MTEB TweetSentimentExtractionClassification + config: default + split: test + revision: d604517c81ca91fe16a244d1248fc021f9ecee7a + metrics: + - type: accuracy + value: 59.25297113752123 + - type: f1 + value: 59.55315247947331 + - task: + type: Clustering + dataset: + type: mteb/twentynewsgroups-clustering + name: MTEB TwentyNewsgroupsClustering + config: default + split: test + revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 + metrics: + - type: v_measure + value: 51.47685515092062 + - task: + type: PairClassification + dataset: + type: mteb/twittersemeval2015-pairclassification + name: MTEB TwitterSemEval2015 + config: default + split: test + revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 + metrics: + - type: cos_sim_accuracy + value: 86.73183525064076 + - type: cos_sim_ap + value: 76.08498196190112 + - type: cos_sim_f1 + value: 69.4834471209584 + - type: cos_sim_precision + value: 67.88321167883211 + - type: cos_sim_recall + value: 71.16094986807387 + - type: dot_accuracy + value: 86.73183525064076 + - type: dot_ap + value: 76.08503499590553 + - type: dot_f1 + value: 69.4834471209584 + - type: dot_precision + value: 67.88321167883211 + - type: dot_recall + value: 71.16094986807387 + - type: euclidean_accuracy + value: 86.73183525064076 + - type: euclidean_ap + value: 76.08500172594562 + - type: euclidean_f1 + value: 69.4834471209584 + - type: euclidean_precision + value: 67.88321167883211 + - type: euclidean_recall + value: 71.16094986807387 + - type: manhattan_accuracy + value: 86.6960720033379 + - type: manhattan_ap + value: 76.00885156192993 + - type: manhattan_f1 + value: 69.24488725747247 + - type: manhattan_precision + value: 68.8118811881188 + - type: manhattan_recall + value: 69.68337730870712 + - type: max_accuracy + value: 86.73183525064076 + - type: max_ap + value: 76.08503499590553 + - type: max_f1 + value: 69.4834471209584 + - task: + type: PairClassification + dataset: + type: mteb/twitterurlcorpus-pairclassification + name: MTEB TwitterURLCorpus + config: default + split: test + revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf + metrics: + - type: cos_sim_accuracy + value: 88.74529436876625 + - type: cos_sim_ap + value: 85.53503158777171 + - type: cos_sim_f1 + value: 77.68167368965773 + - type: cos_sim_precision + value: 74.70496232048912 + - type: cos_sim_recall + value: 80.9054511857099 + - type: dot_accuracy + value: 88.74529436876625 + - type: dot_ap + value: 85.5350158446314 + - type: dot_f1 + value: 77.68167368965773 + - type: dot_precision + value: 74.70496232048912 + - type: dot_recall + value: 80.9054511857099 + - type: euclidean_accuracy + value: 88.74529436876625 + - type: euclidean_ap + value: 85.53503846009764 + - type: euclidean_f1 + value: 77.68167368965773 + - type: euclidean_precision + value: 74.70496232048912 + - type: euclidean_recall + value: 80.9054511857099 + - type: manhattan_accuracy + value: 88.73753250281368 + - type: manhattan_ap + value: 85.53197689629393 + - type: manhattan_f1 + value: 77.58753437213566 + - type: manhattan_precision + value: 74.06033456988871 + - type: manhattan_recall + value: 81.46750846935633 + - type: max_accuracy + value: 88.74529436876625 + - type: max_ap + value: 85.53503846009764 + - type: max_f1 + value: 77.68167368965773 +--- + +

+ +

+ +

+ +

+The crispy rerank family from mixedbread ai. +

+ +# mxbai-embed-2d-large-v1 + + +## Quickstart + +### sentence-transformers + +Currently, the best way to use our models is with the most recent version of sentence-transformers. + +`pip install -U sentence-transformers` + +### angle-emb +