|
--- |
|
model-index: |
|
- name: mini-gte |
|
results: |
|
- dataset: |
|
config: en-ext |
|
name: MTEB AmazonCounterfactualClassification (en-ext) |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
split: test |
|
type: mteb/amazon_counterfactual |
|
metrics: |
|
- type: accuracy |
|
value: 75.41980000000001 |
|
- type: f1 |
|
value: 62.3176 |
|
- type: f1_weighted |
|
value: 79.8725 |
|
- type: ap |
|
value: 23.511699999999998 |
|
- type: ap_weighted |
|
value: 23.511699999999998 |
|
- type: main_score |
|
value: 75.41980000000001 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: en |
|
name: MTEB AmazonCounterfactualClassification (en) |
|
revision: e8379541af4e31359cca9fbcf4b00f2671dba205 |
|
split: test |
|
type: mteb/amazon_counterfactual |
|
metrics: |
|
- type: accuracy |
|
value: 74.9254 |
|
- type: f1 |
|
value: 68.8673 |
|
- type: f1_weighted |
|
value: 77.208 |
|
- type: ap |
|
value: 37.7515 |
|
- type: ap_weighted |
|
value: 37.7515 |
|
- type: main_score |
|
value: 74.9254 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB AmazonPolarityClassification (default) |
|
revision: e2d317d38cd51312af73b3d32a06d1a08b442046 |
|
split: test |
|
type: mteb/amazon_polarity |
|
metrics: |
|
- type: accuracy |
|
value: 92.9432 |
|
- type: f1 |
|
value: 92.9276 |
|
- type: f1_weighted |
|
value: 92.9276 |
|
- type: ap |
|
value: 89.2272 |
|
- type: ap_weighted |
|
value: 89.2272 |
|
- type: main_score |
|
value: 92.9432 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: en |
|
name: MTEB AmazonReviewsClassification (en) |
|
revision: 1399c76144fd37290681b995c656ef9b2e06e26d |
|
split: test |
|
type: mteb/amazon_reviews_multi |
|
metrics: |
|
- type: accuracy |
|
value: 53.093999999999994 |
|
- type: f1 |
|
value: 52.7369 |
|
- type: f1_weighted |
|
value: 52.7369 |
|
- type: main_score |
|
value: 53.093999999999994 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB ArguAna (default) |
|
revision: c22ab2a51041ffd869aaddef7af8d8215647e41a |
|
split: test |
|
type: mteb/arguana |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 31.935000000000002 |
|
- type: ndcg_at_3 |
|
value: 47.302 |
|
- type: ndcg_at_5 |
|
value: 51.878 |
|
- type: ndcg_at_10 |
|
value: 56.691 |
|
- type: ndcg_at_20 |
|
value: 59.233000000000004 |
|
- type: ndcg_at_100 |
|
value: 60.185 |
|
- type: ndcg_at_1000 |
|
value: 60.268 |
|
- type: map_at_1 |
|
value: 31.935000000000002 |
|
- type: map_at_3 |
|
value: 43.433 |
|
- type: map_at_5 |
|
value: 45.976 |
|
- type: map_at_10 |
|
value: 47.992000000000004 |
|
- type: map_at_20 |
|
value: 48.721 |
|
- type: map_at_100 |
|
value: 48.875 |
|
- type: map_at_1000 |
|
value: 48.878 |
|
- type: recall_at_1 |
|
value: 31.935000000000002 |
|
- type: recall_at_3 |
|
value: 58.535000000000004 |
|
- type: recall_at_5 |
|
value: 69.63000000000001 |
|
- type: recall_at_10 |
|
value: 84.353 |
|
- type: recall_at_20 |
|
value: 94.16799999999999 |
|
- type: recall_at_100 |
|
value: 99.004 |
|
- type: recall_at_1000 |
|
value: 99.644 |
|
- type: precision_at_1 |
|
value: 31.935000000000002 |
|
- type: precision_at_3 |
|
value: 19.512 |
|
- type: precision_at_5 |
|
value: 13.926 |
|
- type: precision_at_10 |
|
value: 8.434999999999999 |
|
- type: precision_at_20 |
|
value: 4.707999999999999 |
|
- type: precision_at_100 |
|
value: 0.9900000000000001 |
|
- type: precision_at_1000 |
|
value: 0.1 |
|
- type: mrr_at_1 |
|
value: 32.1479 |
|
- type: mrr_at_3 |
|
value: 43.5159 |
|
- type: mrr_at_5 |
|
value: 46.0266 |
|
- type: mrr_at_10 |
|
value: 48.0549 |
|
- type: mrr_at_20 |
|
value: 48.7839 |
|
- type: mrr_at_100 |
|
value: 48.9375 |
|
- type: mrr_at_1000 |
|
value: 48.9407 |
|
- type: nauc_ndcg_at_1_max |
|
value: -5.219399999999999 |
|
- type: nauc_ndcg_at_1_std |
|
value: -8.7799 |
|
- type: nauc_ndcg_at_1_diff1 |
|
value: 17.3229 |
|
- type: nauc_ndcg_at_3_max |
|
value: -4.1722 |
|
- type: nauc_ndcg_at_3_std |
|
value: -10.2796 |
|
- type: nauc_ndcg_at_3_diff1 |
|
value: 12.007900000000001 |
|
- type: nauc_ndcg_at_5_max |
|
value: -2.8244 |
|
- type: nauc_ndcg_at_5_std |
|
value: -10.061399999999999 |
|
- type: nauc_ndcg_at_5_diff1 |
|
value: 12.914700000000002 |
|
- type: nauc_ndcg_at_10_max |
|
value: -1.9805 |
|
- type: nauc_ndcg_at_10_std |
|
value: -9.298 |
|
- type: nauc_ndcg_at_10_diff1 |
|
value: 13.2042 |
|
- type: nauc_ndcg_at_20_max |
|
value: -2.8091999999999997 |
|
- type: nauc_ndcg_at_20_std |
|
value: -8.886 |
|
- type: nauc_ndcg_at_20_diff1 |
|
value: 13.297 |
|
- type: nauc_ndcg_at_100_max |
|
value: -3.2574 |
|
- type: nauc_ndcg_at_100_std |
|
value: -8.9642 |
|
- type: nauc_ndcg_at_100_diff1 |
|
value: 13.811300000000001 |
|
- type: nauc_ndcg_at_1000_max |
|
value: -3.449 |
|
- type: nauc_ndcg_at_1000_std |
|
value: -9.1654 |
|
- type: nauc_ndcg_at_1000_diff1 |
|
value: 13.7018 |
|
- type: nauc_map_at_1_max |
|
value: -5.219399999999999 |
|
- type: nauc_map_at_1_std |
|
value: -8.7799 |
|
- type: nauc_map_at_1_diff1 |
|
value: 17.3229 |
|
- type: nauc_map_at_3_max |
|
value: -4.6242 |
|
- type: nauc_map_at_3_std |
|
value: -10.002600000000001 |
|
- type: nauc_map_at_3_diff1 |
|
value: 13.1613 |
|
- type: nauc_map_at_5_max |
|
value: -3.9825 |
|
- type: nauc_map_at_5_std |
|
value: -9.8649 |
|
- type: nauc_map_at_5_diff1 |
|
value: 13.6516 |
|
- type: nauc_map_at_10_max |
|
value: -3.7236 |
|
- type: nauc_map_at_10_std |
|
value: -9.589699999999999 |
|
- type: nauc_map_at_10_diff1 |
|
value: 13.8496 |
|
- type: nauc_map_at_20_max |
|
value: -3.9856000000000003 |
|
- type: nauc_map_at_20_std |
|
value: -9.514100000000001 |
|
- type: nauc_map_at_20_diff1 |
|
value: 13.8627 |
|
- type: nauc_map_at_100_max |
|
value: -4.025399999999999 |
|
- type: nauc_map_at_100_std |
|
value: -9.5227 |
|
- type: nauc_map_at_100_diff1 |
|
value: 13.953199999999999 |
|
- type: nauc_map_at_1000_max |
|
value: -4.0324 |
|
- type: nauc_map_at_1000_std |
|
value: -9.5284 |
|
- type: nauc_map_at_1000_diff1 |
|
value: 13.9494 |
|
- type: nauc_recall_at_1_max |
|
value: -5.219399999999999 |
|
- type: nauc_recall_at_1_std |
|
value: -8.7799 |
|
- type: nauc_recall_at_1_diff1 |
|
value: 17.3229 |
|
- type: nauc_recall_at_3_max |
|
value: -2.7011 |
|
- type: nauc_recall_at_3_std |
|
value: -11.0878 |
|
- type: nauc_recall_at_3_diff1 |
|
value: 8.5412 |
|
- type: nauc_recall_at_5_max |
|
value: 1.7892000000000001 |
|
- type: nauc_recall_at_5_std |
|
value: -10.6963 |
|
- type: nauc_recall_at_5_diff1 |
|
value: 10.569 |
|
- type: nauc_recall_at_10_max |
|
value: 9.9486 |
|
- type: nauc_recall_at_10_std |
|
value: -6.7249 |
|
- type: nauc_recall_at_10_diff1 |
|
value: 9.8241 |
|
- type: nauc_recall_at_20_max |
|
value: 15.8614 |
|
- type: nauc_recall_at_20_std |
|
value: 4.7526 |
|
- type: nauc_recall_at_20_diff1 |
|
value: 7.015200000000001 |
|
- type: nauc_recall_at_100_max |
|
value: 40.8859 |
|
- type: nauc_recall_at_100_std |
|
value: 57.965500000000006 |
|
- type: nauc_recall_at_100_diff1 |
|
value: 30.7703 |
|
- type: nauc_recall_at_1000_max |
|
value: 24.2175 |
|
- type: nauc_recall_at_1000_std |
|
value: 70.9234 |
|
- type: nauc_recall_at_1000_diff1 |
|
value: 5.9272 |
|
- type: nauc_precision_at_1_max |
|
value: -5.219399999999999 |
|
- type: nauc_precision_at_1_std |
|
value: -8.7799 |
|
- type: nauc_precision_at_1_diff1 |
|
value: 17.3229 |
|
- type: nauc_precision_at_3_max |
|
value: -2.7011 |
|
- type: nauc_precision_at_3_std |
|
value: -11.0878 |
|
- type: nauc_precision_at_3_diff1 |
|
value: 8.5412 |
|
- type: nauc_precision_at_5_max |
|
value: 1.7892000000000001 |
|
- type: nauc_precision_at_5_std |
|
value: -10.6963 |
|
- type: nauc_precision_at_5_diff1 |
|
value: 10.569 |
|
- type: nauc_precision_at_10_max |
|
value: 9.9486 |
|
- type: nauc_precision_at_10_std |
|
value: -6.7249 |
|
- type: nauc_precision_at_10_diff1 |
|
value: 9.8241 |
|
- type: nauc_precision_at_20_max |
|
value: 15.8614 |
|
- type: nauc_precision_at_20_std |
|
value: 4.7526 |
|
- type: nauc_precision_at_20_diff1 |
|
value: 7.015200000000001 |
|
- type: nauc_precision_at_100_max |
|
value: 40.8859 |
|
- type: nauc_precision_at_100_std |
|
value: 57.965500000000006 |
|
- type: nauc_precision_at_100_diff1 |
|
value: 30.7703 |
|
- type: nauc_precision_at_1000_max |
|
value: 24.2175 |
|
- type: nauc_precision_at_1000_std |
|
value: 70.9234 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: 5.9272 |
|
- type: nauc_mrr_at_1_max |
|
value: -5.0572 |
|
- type: nauc_mrr_at_1_std |
|
value: -8.9378 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: 16.6938 |
|
- type: nauc_mrr_at_3_max |
|
value: -4.7721 |
|
- type: nauc_mrr_at_3_std |
|
value: -10.054 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: 12.529399999999999 |
|
- type: nauc_mrr_at_5_max |
|
value: -4.2183 |
|
- type: nauc_mrr_at_5_std |
|
value: -9.9133 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 12.964800000000002 |
|
- type: nauc_mrr_at_10_max |
|
value: -3.9058 |
|
- type: nauc_mrr_at_10_std |
|
value: -9.6638 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: 13.198199999999998 |
|
- type: nauc_mrr_at_20_max |
|
value: -4.173 |
|
- type: nauc_mrr_at_20_std |
|
value: -9.590300000000001 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: 13.194 |
|
- type: nauc_mrr_at_100_max |
|
value: -4.2139999999999995 |
|
- type: nauc_mrr_at_100_std |
|
value: -9.5994 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: 13.2809 |
|
- type: nauc_mrr_at_1000_max |
|
value: -4.221 |
|
- type: nauc_mrr_at_1000_std |
|
value: -9.6052 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 13.277 |
|
- type: main_score |
|
value: 56.691 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ArxivClusteringP2P (default) |
|
revision: a122ad7f3f0291bf49cc6f4d32aa80929df69d5d |
|
split: test |
|
type: mteb/arxiv-clustering-p2p |
|
metrics: |
|
- type: v_measure |
|
value: 47.2496 |
|
- type: v_measure_std |
|
value: 13.791900000000002 |
|
- type: main_score |
|
value: 47.2496 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB ArxivClusteringS2S (default) |
|
revision: f910caf1a6075f7329cdf8c1a6135696f37dbd53 |
|
split: test |
|
type: mteb/arxiv-clustering-s2s |
|
metrics: |
|
- type: v_measure |
|
value: 40.75 |
|
- type: v_measure_std |
|
value: 14.1433 |
|
- type: main_score |
|
value: 40.75 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB AskUbuntuDupQuestions (default) |
|
revision: 2000358ca161889fa9c082cb41daa8dcfb161a54 |
|
split: test |
|
type: mteb/askubuntudupquestions-reranking |
|
metrics: |
|
- type: map |
|
value: 61.5183 |
|
- type: mrr |
|
value: 74.5329 |
|
- type: nAUC_map_max |
|
value: 22.0592 |
|
- type: nAUC_map_std |
|
value: 18.0597 |
|
- type: nAUC_map_diff1 |
|
value: 1.7156 |
|
- type: nAUC_mrr_max |
|
value: 34.481899999999996 |
|
- type: nAUC_mrr_std |
|
value: 18.1487 |
|
- type: nAUC_mrr_diff1 |
|
value: 14.359 |
|
- type: main_score |
|
value: 61.5183 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB BIOSSES (default) |
|
revision: d3fb88f8f02e40887cd149695127462bbcf29b4a |
|
split: test |
|
type: mteb/biosses-sts |
|
metrics: |
|
- type: pearson |
|
value: 86.7876 |
|
- type: spearman |
|
value: 84.7302 |
|
- type: cosine_pearson |
|
value: 86.7876 |
|
- type: cosine_spearman |
|
value: 84.7302 |
|
- type: manhattan_pearson |
|
value: 84.48649999999999 |
|
- type: manhattan_spearman |
|
value: 84.0363 |
|
- type: euclidean_pearson |
|
value: 84.8649 |
|
- type: euclidean_spearman |
|
value: 84.6266 |
|
- type: main_score |
|
value: 84.7302 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB Banking77Classification (default) |
|
revision: 0fd18e25b25c072e09e0d92ab615fda904d66300 |
|
split: test |
|
type: mteb/banking77 |
|
metrics: |
|
- type: accuracy |
|
value: 85.7078 |
|
- type: f1 |
|
value: 85.6668 |
|
- type: f1_weighted |
|
value: 85.6668 |
|
- type: main_score |
|
value: 85.7078 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB BiorxivClusteringP2P (default) |
|
revision: 65b79d1d13f80053f67aca9498d9402c2d9f1f40 |
|
split: test |
|
type: mteb/biorxiv-clustering-p2p |
|
metrics: |
|
- type: v_measure |
|
value: 40.0883 |
|
- type: v_measure_std |
|
value: 0.9724 |
|
- type: main_score |
|
value: 40.0883 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB BiorxivClusteringS2S (default) |
|
revision: 258694dd0231531bc1fd9de6ceb52a0853c6d908 |
|
split: test |
|
type: mteb/biorxiv-clustering-s2s |
|
metrics: |
|
- type: v_measure |
|
value: 36.3365 |
|
- type: v_measure_std |
|
value: 1.1007 |
|
- type: main_score |
|
value: 36.3365 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackAndroidRetrieval (default) |
|
revision: f46a197baaae43b4f621051089b82a364682dfeb |
|
split: test |
|
type: mteb/cqadupstack-android |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 37.196 |
|
- type: ndcg_at_3 |
|
value: 42.849 |
|
- type: ndcg_at_5 |
|
value: 45.023 |
|
- type: ndcg_at_10 |
|
value: 48.02 |
|
- type: ndcg_at_20 |
|
value: 50.156 |
|
- type: ndcg_at_100 |
|
value: 53.32900000000001 |
|
- type: ndcg_at_1000 |
|
value: 55.535000000000004 |
|
- type: map_at_1 |
|
value: 30.598 |
|
- type: map_at_3 |
|
value: 38.221 |
|
- type: map_at_5 |
|
value: 40.105000000000004 |
|
- type: map_at_10 |
|
value: 41.715 |
|
- type: map_at_20 |
|
value: 42.539 |
|
- type: map_at_100 |
|
value: 43.207 |
|
- type: map_at_1000 |
|
value: 43.344 |
|
- type: recall_at_1 |
|
value: 30.598 |
|
- type: recall_at_3 |
|
value: 45.164 |
|
- type: recall_at_5 |
|
value: 51.357 |
|
- type: recall_at_10 |
|
value: 60.343 |
|
- type: recall_at_20 |
|
value: 67.93299999999999 |
|
- type: recall_at_100 |
|
value: 82.07 |
|
- type: recall_at_1000 |
|
value: 96.345 |
|
- type: precision_at_1 |
|
value: 37.196 |
|
- type: precision_at_3 |
|
value: 20.601 |
|
- type: precision_at_5 |
|
value: 14.707 |
|
- type: precision_at_10 |
|
value: 9.242 |
|
- type: precision_at_20 |
|
value: 5.522 |
|
- type: precision_at_100 |
|
value: 1.4949999999999999 |
|
- type: precision_at_1000 |
|
value: 0.198 |
|
- type: mrr_at_1 |
|
value: 37.196 |
|
- type: mrr_at_3 |
|
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|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackEnglishRetrieval (default) |
|
revision: ad9991cb51e31e31e430383c75ffb2885547b5f0 |
|
split: test |
|
type: mteb/cqadupstack-english |
|
metrics: |
|
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|
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value: 27.569 |
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value: 35.576 |
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|
value: 36.781000000000006 |
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value: 37.488 |
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|
value: 38.052 |
|
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|
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value: 27.569 |
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|
value: 39.684999999999995 |
|
- type: recall_at_5 |
|
value: 45.397 |
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|
value: 51.674 |
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|
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|
- type: recall_at_1000 |
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
value: 48.1185 |
|
- type: main_score |
|
value: 42.14 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackGamingRetrieval (default) |
|
revision: 4885aa143210c98657558c04aaf3dc47cfb54340 |
|
split: test |
|
type: mteb/cqadupstack-gaming |
|
metrics: |
|
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|
value: 44.326 |
|
- type: ndcg_at_3 |
|
value: 51.365 |
|
- type: ndcg_at_5 |
|
value: 54.386 |
|
- type: ndcg_at_10 |
|
value: 56.872 |
|
- type: ndcg_at_20 |
|
value: 59.026 |
|
- type: ndcg_at_100 |
|
value: 61.525 |
|
- type: ndcg_at_1000 |
|
value: 62.539 |
|
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|
value: 38.852 |
|
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|
value: 47.826 |
|
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|
value: 49.858000000000004 |
|
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|
value: 51.152 |
|
- type: map_at_20 |
|
value: 51.902 |
|
- type: map_at_100 |
|
value: 52.342 |
|
- type: map_at_1000 |
|
value: 52.394 |
|
- type: recall_at_1 |
|
value: 38.852 |
|
- type: recall_at_3 |
|
value: 56.023999999999994 |
|
- type: recall_at_5 |
|
value: 63.317 |
|
- type: recall_at_10 |
|
value: 70.408 |
|
- type: recall_at_20 |
|
value: 78.41900000000001 |
|
- type: recall_at_100 |
|
value: 90.509 |
|
- type: recall_at_1000 |
|
value: 97.543 |
|
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|
value: 44.326 |
|
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|
value: 22.947 |
|
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|
value: 16.025 |
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value: 9.223 |
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value: 5.238 |
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|
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|
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|
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|
value: 44.326 |
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|
value: 51.7555 |
|
- type: mrr_at_5 |
|
value: 53.4138 |
|
- type: mrr_at_10 |
|
value: 54.33480000000001 |
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value: 54.826299999999996 |
|
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value: 35.279700000000005 |
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|
value: 45.0451 |
|
- type: main_score |
|
value: 56.872 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackGisRetrieval (default) |
|
revision: 5003b3064772da1887988e05400cf3806fe491f2 |
|
split: test |
|
type: mteb/cqadupstack-gis |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 28.362 |
|
- type: ndcg_at_3 |
|
value: 33.528000000000006 |
|
- type: ndcg_at_5 |
|
value: 35.848 |
|
- type: ndcg_at_10 |
|
value: 38.173 |
|
- type: ndcg_at_20 |
|
value: 40.172000000000004 |
|
- type: ndcg_at_100 |
|
value: 43.467 |
|
- type: ndcg_at_1000 |
|
value: 45.504 |
|
- type: map_at_1 |
|
value: 26.529000000000003 |
|
- type: map_at_3 |
|
value: 31.387999999999998 |
|
- type: map_at_5 |
|
value: 32.832 |
|
- type: map_at_10 |
|
value: 33.872 |
|
- type: map_at_20 |
|
value: 34.434 |
|
- type: map_at_100 |
|
value: 34.931 |
|
- type: map_at_1000 |
|
value: 35.006 |
|
- type: recall_at_1 |
|
value: 26.529000000000003 |
|
- type: recall_at_3 |
|
value: 37.275000000000006 |
|
- type: recall_at_5 |
|
value: 42.792 |
|
- type: recall_at_10 |
|
value: 49.748 |
|
- type: recall_at_20 |
|
value: 57.199999999999996 |
|
- type: recall_at_100 |
|
value: 74.118 |
|
- type: recall_at_1000 |
|
value: 89.593 |
|
- type: precision_at_1 |
|
value: 28.362 |
|
- type: precision_at_3 |
|
value: 13.898 |
|
- type: precision_at_5 |
|
value: 9.74 |
|
- type: precision_at_10 |
|
value: 5.7059999999999995 |
|
- type: precision_at_20 |
|
value: 3.3329999999999997 |
|
- type: precision_at_100 |
|
value: 0.886 |
|
- type: precision_at_1000 |
|
value: 0.109 |
|
- type: mrr_at_1 |
|
value: 28.3616 |
|
- type: mrr_at_3 |
|
value: 33.5028 |
|
- type: mrr_at_5 |
|
value: 34.7119 |
|
- type: mrr_at_10 |
|
value: 35.6396 |
|
- type: mrr_at_20 |
|
value: 36.2226 |
|
- type: mrr_at_100 |
|
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value: 38.173 |
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task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackMathematicaRetrieval (default) |
|
revision: 90fceea13679c63fe563ded68f3b6f06e50061de |
|
split: test |
|
type: mteb/cqadupstack-mathematica |
|
metrics: |
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value: 16.056 |
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value: 26.927 |
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value: 32.293 |
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value: 40.399 |
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value: 29.4284 |
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- type: main_score |
|
value: 28.831 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackPhysicsRetrieval (default) |
|
revision: 79531abbd1fb92d06c6d6315a0cbbbf5bb247ea4 |
|
split: test |
|
type: mteb/cqadupstack-physics |
|
metrics: |
|
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|
value: 36.574 |
|
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|
value: 41.352 |
|
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|
value: 39.153999999999996 |
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value: 41.926 |
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|
value: 42.04 |
|
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|
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|
value: 44.605 |
|
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|
value: 51.57000000000001 |
|
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|
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|
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|
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|
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|
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|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackProgrammersRetrieval (default) |
|
revision: 6184bc1440d2dbc7612be22b50686b8826d22b32 |
|
split: test |
|
type: mteb/cqadupstack-programmers |
|
metrics: |
|
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|
value: 29.909000000000002 |
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|
value: 34.832 |
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- type: ndcg_at_5 |
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value: 46.302 |
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value: 48.473 |
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|
value: 24.757 |
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value: 31.167 |
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value: 32.967999999999996 |
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|
value: 34.503 |
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|
value: 35.276 |
|
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|
value: 35.888 |
|
- type: map_at_1000 |
|
value: 35.997 |
|
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|
value: 24.757 |
|
- type: recall_at_3 |
|
value: 37.57 |
|
- type: recall_at_5 |
|
value: 44.395 |
|
- type: recall_at_10 |
|
value: 53.311 |
|
- type: recall_at_20 |
|
value: 61.502 |
|
- type: recall_at_100 |
|
value: 78.608 |
|
- type: recall_at_1000 |
|
value: 93.253 |
|
- type: precision_at_1 |
|
value: 29.909000000000002 |
|
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|
value: 16.781 |
|
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|
value: 12.1 |
|
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|
value: 7.6259999999999994 |
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|
value: 4.566 |
|
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|
value: 1.237 |
|
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|
value: 0.16 |
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|
value: 29.9087 |
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|
value: 36.2633 |
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|
value: 37.8957 |
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|
value: 39.101 |
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|
value: 39.64 |
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value: 41.510999999999996 |
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value: 38.8772 |
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value: 1.2183 |
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value: 41.5372 |
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value: 38.8675 |
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value: 1.1994 |
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value: 41.6314 |
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value: 38.858599999999996 |
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|
value: 1.1914 |
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|
value: 41.6466 |
|
- type: main_score |
|
value: 40.421 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackRetrieval (default) |
|
revision: CQADupstackRetrieval_is_a_combined_dataset |
|
split: test |
|
type: CQADupstackRetrieval_is_a_combined_dataset |
|
metrics: |
|
- type: main_score |
|
value: 38.682750000000006 |
|
- type: ndcg_at_10 |
|
value: 38.682750000000006 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackStatsRetrieval (default) |
|
revision: 65ac3a16b8e91f9cee4c9828cc7c335575432a2a |
|
split: test |
|
type: mteb/cqadupstack-stats |
|
metrics: |
|
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|
value: 24.847 |
|
- type: ndcg_at_3 |
|
value: 29.369 |
|
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|
value: 31.563999999999997 |
|
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|
value: 33.588 |
|
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|
value: 35.598 |
|
- type: ndcg_at_100 |
|
value: 38.543 |
|
- type: ndcg_at_1000 |
|
value: 41.176 |
|
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|
value: 22.042 |
|
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|
value: 27.016000000000002 |
|
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|
value: 28.369 |
|
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|
value: 29.308 |
|
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|
value: 29.897000000000002 |
|
- type: map_at_100 |
|
value: 30.316 |
|
- type: map_at_1000 |
|
value: 30.416999999999998 |
|
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|
value: 22.042 |
|
- type: recall_at_3 |
|
value: 32.686 |
|
- type: recall_at_5 |
|
value: 38.044 |
|
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|
value: 44.028 |
|
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|
value: 51.576 |
|
- type: recall_at_100 |
|
value: 66.611 |
|
- type: recall_at_1000 |
|
value: 86.131 |
|
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|
value: 24.847 |
|
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|
value: 12.628 |
|
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|
value: 9.017999999999999 |
|
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|
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|
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|
value: 3.175 |
|
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|
value: 0.84 |
|
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|
value: 0.116 |
|
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|
value: 24.8466 |
|
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|
value: 29.856899999999996 |
|
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|
value: 31.198900000000002 |
|
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|
value: 31.9969 |
|
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|
value: 32.536100000000005 |
|
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|
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|
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|
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value: 56.9021 |
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- type: main_score |
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value: 33.588 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackTexRetrieval (default) |
|
revision: 46989137a86843e03a6195de44b09deda022eec7 |
|
split: test |
|
type: mteb/cqadupstack-tex |
|
metrics: |
|
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|
value: 19.201999999999998 |
|
- type: ndcg_at_3 |
|
value: 22.591 |
|
- type: ndcg_at_5 |
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value: 24.127000000000002 |
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|
value: 26.378 |
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|
value: 28.345 |
|
- type: ndcg_at_100 |
|
value: 31.806 |
|
- type: ndcg_at_1000 |
|
value: 34.982 |
|
- type: map_at_1 |
|
value: 15.754999999999999 |
|
- type: map_at_3 |
|
value: 20.073 |
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- type: map_at_5 |
|
value: 21.099999999999998 |
|
- type: map_at_10 |
|
value: 22.122 |
|
- type: map_at_20 |
|
value: 22.708000000000002 |
|
- type: map_at_100 |
|
value: 23.233 |
|
- type: map_at_1000 |
|
value: 23.365 |
|
- type: recall_at_1 |
|
value: 15.754999999999999 |
|
- type: recall_at_3 |
|
value: 24.944 |
|
- type: recall_at_5 |
|
value: 28.959000000000003 |
|
- type: recall_at_10 |
|
value: 35.768 |
|
- type: recall_at_20 |
|
value: 42.954 |
|
- type: recall_at_100 |
|
value: 60.209999999999994 |
|
- type: recall_at_1000 |
|
value: 83.035 |
|
- type: precision_at_1 |
|
value: 19.201999999999998 |
|
- type: precision_at_3 |
|
value: 10.622 |
|
- type: precision_at_5 |
|
value: 7.577 |
|
- type: precision_at_10 |
|
value: 4.7829999999999995 |
|
- type: precision_at_20 |
|
value: 2.97 |
|
- type: precision_at_100 |
|
value: 0.8920000000000001 |
|
- type: precision_at_1000 |
|
value: 0.134 |
|
- type: mrr_at_1 |
|
value: 19.2017 |
|
- type: mrr_at_3 |
|
value: 23.738200000000003 |
|
- type: mrr_at_5 |
|
value: 24.7259 |
|
- type: mrr_at_10 |
|
value: 25.706 |
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|
value: 26.270300000000002 |
|
- type: mrr_at_100 |
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value: 25.4962 |
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value: 28.7889 |
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value: 23.074 |
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|
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|
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value: -0.8367 |
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value: 37.754 |
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value: 24.1432 |
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value: 0.8734000000000001 |
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value: 25.940400000000004 |
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value: 24.2917 |
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|
value: 4.603 |
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|
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value: 37.754 |
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value: -0.1664 |
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value: 32.3621 |
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value: 25.3174 |
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value: 0.2477 |
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|
value: 32.0605 |
|
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|
value: 25.546999999999997 |
|
- type: nauc_mrr_at_20_std |
|
value: 0.5398000000000001 |
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|
value: 32.0374 |
|
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|
value: 25.5063 |
|
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|
value: 0.6441 |
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|
value: 31.964 |
|
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|
value: 25.4969 |
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|
value: 0.6513 |
|
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|
value: 31.9864 |
|
- type: main_score |
|
value: 26.378 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackUnixRetrieval (default) |
|
revision: 6c6430d3a6d36f8d2a829195bc5dc94d7e063e53 |
|
split: test |
|
type: mteb/cqadupstack-unix |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 26.866 |
|
- type: ndcg_at_3 |
|
value: 30.59 |
|
- type: ndcg_at_5 |
|
value: 33.102 |
|
- type: ndcg_at_10 |
|
value: 35.714 |
|
- type: ndcg_at_20 |
|
value: 37.736 |
|
- type: ndcg_at_100 |
|
value: 41.264 |
|
- type: ndcg_at_1000 |
|
value: 43.973 |
|
- type: map_at_1 |
|
value: 22.489 |
|
- type: map_at_3 |
|
value: 27.767999999999997 |
|
- type: map_at_5 |
|
value: 29.426999999999996 |
|
- type: map_at_10 |
|
value: 30.587999999999997 |
|
- type: map_at_20 |
|
value: 31.189 |
|
- type: map_at_100 |
|
value: 31.744 |
|
- type: map_at_1000 |
|
value: 31.857999999999997 |
|
- type: recall_at_1 |
|
value: 22.489 |
|
- type: recall_at_3 |
|
value: 33.635999999999996 |
|
- type: recall_at_5 |
|
value: 39.863 |
|
- type: recall_at_10 |
|
value: 47.641 |
|
- type: recall_at_20 |
|
value: 54.906 |
|
- type: recall_at_100 |
|
value: 71.975 |
|
- type: recall_at_1000 |
|
value: 91.229 |
|
- type: precision_at_1 |
|
value: 26.866 |
|
- type: precision_at_3 |
|
value: 13.930000000000001 |
|
- type: precision_at_5 |
|
value: 10.093 |
|
- type: precision_at_10 |
|
value: 6.082 |
|
- type: precision_at_20 |
|
value: 3.6189999999999998 |
|
- type: precision_at_100 |
|
value: 1.0070000000000001 |
|
- type: precision_at_1000 |
|
value: 0.136 |
|
- type: mrr_at_1 |
|
value: 26.865699999999997 |
|
- type: mrr_at_3 |
|
value: 32.0585 |
|
- type: mrr_at_5 |
|
value: 33.4904 |
|
- type: mrr_at_10 |
|
value: 34.604099999999995 |
|
- type: mrr_at_20 |
|
value: 35.1024 |
|
- type: mrr_at_100 |
|
value: 35.5401 |
|
- type: mrr_at_1000 |
|
value: 35.607 |
|
- type: nauc_ndcg_at_1_max |
|
value: 41.288799999999995 |
|
- type: nauc_ndcg_at_1_std |
|
value: -2.2298999999999998 |
|
- type: nauc_ndcg_at_1_diff1 |
|
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task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackWebmastersRetrieval (default) |
|
revision: 160c094312a0e1facb97e55eeddb698c0abe3571 |
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split: test |
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type: mteb/cqadupstack-webmasters |
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|
value: 37.543 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB CQADupstackWordpressRetrieval (default) |
|
revision: 4ffe81d471b1924886b33c7567bfb200e9eec5c4 |
|
split: test |
|
type: mteb/cqadupstack-wordpress |
|
metrics: |
|
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|
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|
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|
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task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ClimateFEVER (default) |
|
revision: 47f2ac6acb640fc46020b02a5b59fdda04d39380 |
|
split: test |
|
type: mteb/climate-fever |
|
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value: 44.999 |
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value: 52.371 |
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value: 85.572 |
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value: 18.4992 |
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|
value: 30.7485 |
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|
value: 40.8848 |
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|
value: 18.903100000000002 |
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value: 30.604799999999997 |
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|
value: 40.978500000000004 |
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value: 19.0743 |
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value: 30.7534 |
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value: 40.977599999999995 |
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value: 30.745 |
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value: 40.9611 |
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value: 19.0871 |
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|
value: 30.7527 |
|
- type: main_score |
|
value: 39.741 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB DBPedia (default) |
|
revision: c0f706b76e590d620bd6618b3ca8efdd34e2d659 |
|
split: test |
|
type: mteb/dbpedia |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 53.37499999999999 |
|
- type: ndcg_at_3 |
|
value: 42.92 |
|
- type: ndcg_at_5 |
|
value: 40.473 |
|
- type: ndcg_at_10 |
|
value: 38.007000000000005 |
|
- type: ndcg_at_20 |
|
value: 37.757000000000005 |
|
- type: ndcg_at_100 |
|
value: 43.113 |
|
- type: ndcg_at_1000 |
|
value: 50.673 |
|
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|
value: 8.605 |
|
- type: map_at_3 |
|
value: 13.117999999999999 |
|
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|
value: 15.348999999999998 |
|
- type: map_at_10 |
|
value: 18.090999999999998 |
|
- type: map_at_20 |
|
value: 20.735999999999997 |
|
- type: map_at_100 |
|
value: 25.151 |
|
- type: map_at_1000 |
|
value: 26.789 |
|
- type: recall_at_1 |
|
value: 8.605 |
|
- type: recall_at_3 |
|
value: 14.39 |
|
- type: recall_at_5 |
|
value: 18.061 |
|
- type: recall_at_10 |
|
value: 23.49 |
|
- type: recall_at_20 |
|
value: 30.379 |
|
- type: recall_at_100 |
|
value: 48.956 |
|
- type: recall_at_1000 |
|
value: 72.685 |
|
- type: precision_at_1 |
|
value: 65.0 |
|
- type: precision_at_3 |
|
value: 45.75 |
|
- type: precision_at_5 |
|
value: 38.85 |
|
- type: precision_at_10 |
|
value: 29.525000000000002 |
|
- type: precision_at_20 |
|
value: 22.561999999999998 |
|
- type: precision_at_100 |
|
value: 9.795 |
|
- type: precision_at_1000 |
|
value: 2.078 |
|
- type: mrr_at_1 |
|
value: 65.0 |
|
- type: mrr_at_3 |
|
value: 71.5 |
|
- type: mrr_at_5 |
|
value: 72.1375 |
|
- type: mrr_at_10 |
|
value: 72.7269 |
|
- type: mrr_at_20 |
|
value: 73.1268 |
|
- type: mrr_at_100 |
|
value: 73.27550000000001 |
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|
value: 73.27850000000001 |
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- type: nauc_ndcg_at_1_max |
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value: 51.8867 |
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|
value: 25.4998 |
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|
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|
value: 25.2169 |
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- type: nauc_ndcg_at_20_max |
|
value: 42.6108 |
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|
value: 24.0015 |
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value: 42.088300000000004 |
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value: 22.0 |
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value: 46.9897 |
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value: 27.9538 |
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value: 25.9649 |
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- type: nauc_map_at_10_max |
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value: 21.7011 |
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value: 22.8436 |
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value: 23.8891 |
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value: 13.2823 |
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value: -5.1532 |
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value: 20.2566 |
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- type: nauc_recall_at_10_max |
|
value: 16.1607 |
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- type: nauc_recall_at_10_std |
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value: -0.2762 |
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|
value: 17.1312 |
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- type: nauc_recall_at_20_max |
|
value: 20.1979 |
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- type: nauc_recall_at_20_std |
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value: 5.716799999999999 |
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|
value: 15.7332 |
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- type: nauc_recall_at_100_max |
|
value: 26.0613 |
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- type: nauc_recall_at_100_std |
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value: 25.786900000000003 |
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- type: nauc_recall_at_100_diff1 |
|
value: 11.5302 |
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- type: nauc_recall_at_1000_max |
|
value: 33.9363 |
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- type: nauc_recall_at_1000_std |
|
value: 41.8114 |
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- type: nauc_recall_at_1000_diff1 |
|
value: 6.959999999999999 |
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- type: nauc_precision_at_1_max |
|
value: 59.560199999999995 |
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- type: nauc_precision_at_1_std |
|
value: 33.1626 |
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|
value: 44.1834 |
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- type: nauc_precision_at_3_max |
|
value: 44.451299999999996 |
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- type: nauc_precision_at_3_std |
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value: 43.2325 |
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value: 10.1334 |
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value: 42.3183 |
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value: 48.4798 |
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value: 4.3267 |
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value: 39.1884 |
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value: 49.1338 |
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|
value: -2.4766 |
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|
value: 34.2652 |
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value: 46.881099999999996 |
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|
value: -7.664700000000001 |
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value: 21.5758 |
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|
value: 41.9157 |
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|
value: -13.292300000000001 |
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|
value: -4.6777 |
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- type: nauc_precision_at_1000_std |
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value: 11.3629 |
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value: -20.6324 |
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|
value: 59.560199999999995 |
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- type: nauc_mrr_at_1_std |
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value: 33.1626 |
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|
value: 44.1834 |
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|
value: 63.3449 |
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value: 42.0598 |
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|
value: 63.5765 |
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|
value: 42.5313 |
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|
value: 41.86 |
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|
value: 63.22259999999999 |
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- type: nauc_mrr_at_10_std |
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value: 41.901500000000006 |
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|
value: 41.9345 |
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- type: nauc_mrr_at_20_max |
|
value: 63.253099999999996 |
|
- type: nauc_mrr_at_20_std |
|
value: 41.6196 |
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|
value: 42.2398 |
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- type: nauc_mrr_at_100_max |
|
value: 63.214800000000004 |
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- type: nauc_mrr_at_100_std |
|
value: 41.6203 |
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|
value: 42.1703 |
|
- type: nauc_mrr_at_1000_max |
|
value: 63.212500000000006 |
|
- type: nauc_mrr_at_1000_std |
|
value: 41.6145 |
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|
value: 42.1702 |
|
- type: main_score |
|
value: 38.007000000000005 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB EmotionClassification (default) |
|
revision: 4f58c6b202a23cf9a4da393831edf4f9183cad37 |
|
split: test |
|
type: mteb/emotion |
|
metrics: |
|
- type: accuracy |
|
value: 48.245 |
|
- type: f1 |
|
value: 43.128899999999994 |
|
- type: f1_weighted |
|
value: 50.52720000000001 |
|
- type: main_score |
|
value: 48.245 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB FEVER (default) |
|
revision: bea83ef9e8fb933d90a2f1d5515737465d613e12 |
|
split: test |
|
type: mteb/fever |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 82.973 |
|
- type: ndcg_at_3 |
|
value: 86.732 |
|
- type: ndcg_at_5 |
|
value: 87.754 |
|
- type: ndcg_at_10 |
|
value: 88.28399999999999 |
|
- type: ndcg_at_20 |
|
value: 88.599 |
|
- type: ndcg_at_100 |
|
value: 88.962 |
|
- type: ndcg_at_1000 |
|
value: 89.18599999999999 |
|
- type: map_at_1 |
|
value: 76.85600000000001 |
|
- type: map_at_3 |
|
value: 83.68100000000001 |
|
- type: map_at_5 |
|
value: 84.428 |
|
- type: map_at_10 |
|
value: 84.737 |
|
- type: map_at_20 |
|
value: 84.859 |
|
- type: map_at_100 |
|
value: 84.936 |
|
- type: map_at_1000 |
|
value: 84.949 |
|
- type: recall_at_1 |
|
value: 76.85600000000001 |
|
- type: recall_at_3 |
|
value: 90.261 |
|
- type: recall_at_5 |
|
value: 92.902 |
|
- type: recall_at_10 |
|
value: 94.455 |
|
- type: recall_at_20 |
|
value: 95.512 |
|
- type: recall_at_100 |
|
value: 97.062 |
|
- type: recall_at_1000 |
|
value: 98.425 |
|
- type: precision_at_1 |
|
value: 82.973 |
|
- type: precision_at_3 |
|
value: 32.883 |
|
- type: precision_at_5 |
|
value: 20.432 |
|
- type: precision_at_10 |
|
value: 10.468 |
|
- type: precision_at_20 |
|
value: 5.335 |
|
- type: precision_at_100 |
|
value: 1.103 |
|
- type: precision_at_1000 |
|
value: 0.11399999999999999 |
|
- type: mrr_at_1 |
|
value: 82.97330000000001 |
|
- type: mrr_at_3 |
|
value: 88.9414 |
|
- type: mrr_at_5 |
|
value: 89.4409 |
|
- type: mrr_at_10 |
|
value: 89.5788 |
|
- type: mrr_at_20 |
|
value: 89.6134 |
|
- type: mrr_at_100 |
|
value: 89.6249 |
|
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|
value: 89.6258 |
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
value: 51.707499999999996 |
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB FiQA2018 (default) |
|
revision: 27a168819829fe9bcd655c2df245fb19452e8e06 |
|
split: test |
|
type: mteb/fiqa |
|
metrics: |
|
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|
value: 36.882999999999996 |
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- type: ndcg_at_3 |
|
value: 35.286 |
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- type: ndcg_at_5 |
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value: 35.968 |
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|
value: 38.429 |
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value: 41.075 |
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value: 45.738 |
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|
value: 48.931000000000004 |
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|
value: 18.781 |
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value: 27.154 |
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|
value: 29.101 |
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- type: map_at_10 |
|
value: 30.889 |
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- type: map_at_20 |
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value: 31.900000000000002 |
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- type: map_at_100 |
|
value: 32.836 |
|
- type: map_at_1000 |
|
value: 33.031 |
|
- type: recall_at_1 |
|
value: 18.781 |
|
- type: recall_at_3 |
|
value: 32.505 |
|
- type: recall_at_5 |
|
value: 37.524 |
|
- type: recall_at_10 |
|
value: 44.936 |
|
- type: recall_at_20 |
|
value: 52.961999999999996 |
|
- type: recall_at_100 |
|
value: 72.229 |
|
- type: recall_at_1000 |
|
value: 91.266 |
|
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|
value: 36.882999999999996 |
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|
value: 23.714 |
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- type: precision_at_5 |
|
value: 16.975 |
|
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|
value: 10.664 |
|
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|
value: 6.451 |
|
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|
value: 1.799 |
|
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|
value: 0.23700000000000002 |
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value: 36.8827 |
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|
value: 44.3673 |
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|
value: 45.4552 |
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value: 46.4466 |
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value: 46.935500000000005 |
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value: 0.8775 |
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value: 1.9251999999999998 |
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value: 39.189800000000005 |
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value: 39.1943 |
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|
value: 49.8054 |
|
- type: main_score |
|
value: 38.429 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB HotpotQA (default) |
|
revision: ab518f4d6fcca38d87c25209f94beba119d02014 |
|
split: test |
|
type: mteb/hotpotqa |
|
metrics: |
|
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|
value: 80.5 |
|
- type: ndcg_at_3 |
|
value: 61.708 |
|
- type: ndcg_at_5 |
|
value: 64.089 |
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|
value: 65.893 |
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|
value: 67.06800000000001 |
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- type: ndcg_at_100 |
|
value: 68.715 |
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- type: ndcg_at_1000 |
|
value: 70.025 |
|
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|
value: 40.25 |
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|
value: 53.53 |
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|
value: 55.428 |
|
- type: map_at_10 |
|
value: 56.497 |
|
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|
value: 56.977999999999994 |
|
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|
value: 57.318000000000005 |
|
- type: map_at_1000 |
|
value: 57.386 |
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|
value: 40.25 |
|
- type: recall_at_3 |
|
value: 57.191 |
|
- type: recall_at_5 |
|
value: 61.891 |
|
- type: recall_at_10 |
|
value: 66.415 |
|
- type: recall_at_20 |
|
value: 70.176 |
|
- type: recall_at_100 |
|
value: 77.427 |
|
- type: recall_at_1000 |
|
value: 86.063 |
|
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|
value: 80.5 |
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
value: 85.2028 |
|
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|
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|
value: 85.6182 |
|
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- type: main_score |
|
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|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ImdbClassification (default) |
|
revision: 3d86128a09e091d6018b6d26cad27f2739fc2db7 |
|
split: test |
|
type: mteb/imdb |
|
metrics: |
|
- type: accuracy |
|
value: 88.7012 |
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- type: f1 |
|
value: 88.66810000000001 |
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- type: f1_weighted |
|
value: 88.66810000000001 |
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- type: ap |
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value: 83.88550000000001 |
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- type: ap_weighted |
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value: 83.88550000000001 |
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- type: main_score |
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value: 88.7012 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB MSMARCO (default) |
|
revision: c5a29a104738b98a9e76336939199e264163d4a0 |
|
split: test |
|
type: mteb/msmarco |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 72.09299999999999 |
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- type: ndcg_at_3 |
|
value: 71.528 |
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- type: ndcg_at_5 |
|
value: 69.023 |
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|
value: 68.939 |
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- type: ndcg_at_20 |
|
value: 66.398 |
|
- type: ndcg_at_100 |
|
value: 63.449999999999996 |
|
- type: ndcg_at_1000 |
|
value: 70.918 |
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- type: map_at_1 |
|
value: 2.26 |
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- type: map_at_3 |
|
value: 6.6979999999999995 |
|
- type: map_at_5 |
|
value: 9.019 |
|
- type: map_at_10 |
|
value: 14.789 |
|
- type: map_at_20 |
|
value: 22.402 |
|
- type: map_at_100 |
|
value: 39.405 |
|
- type: map_at_1000 |
|
value: 47.871 |
|
- type: recall_at_1 |
|
value: 2.26 |
|
- type: recall_at_3 |
|
value: 6.926 |
|
- type: recall_at_5 |
|
value: 9.458 |
|
- type: recall_at_10 |
|
value: 16.189999999999998 |
|
- type: recall_at_20 |
|
value: 25.849 |
|
- type: recall_at_100 |
|
value: 52.72 |
|
- type: recall_at_1000 |
|
value: 78.161 |
|
- type: precision_at_1 |
|
value: 88.372 |
|
- type: precision_at_3 |
|
value: 87.59700000000001 |
|
- type: precision_at_5 |
|
value: 81.395 |
|
- type: precision_at_10 |
|
value: 78.14 |
|
- type: precision_at_20 |
|
value: 69.07 |
|
- type: precision_at_100 |
|
value: 38.092999999999996 |
|
- type: precision_at_1000 |
|
value: 7.098 |
|
- type: mrr_at_1 |
|
value: 88.3721 |
|
- type: mrr_at_3 |
|
value: 91.8605 |
|
- type: mrr_at_5 |
|
value: 91.8605 |
|
- type: mrr_at_10 |
|
value: 92.1927 |
|
- type: mrr_at_20 |
|
value: 92.1927 |
|
- type: mrr_at_100 |
|
value: 92.1927 |
|
- type: mrr_at_1000 |
|
value: 92.1927 |
|
- type: nauc_ndcg_at_1_max |
|
value: -4.7843 |
|
- type: nauc_ndcg_at_1_std |
|
value: 8.8077 |
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|
value: 19.7347 |
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- type: nauc_ndcg_at_3_max |
|
value: 1.6018999999999999 |
|
- type: nauc_ndcg_at_3_std |
|
value: 4.2778 |
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|
value: 17.2588 |
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|
value: 12.2264 |
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value: 13.293 |
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|
value: 8.018699999999999 |
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|
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|
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|
value: -2.1687000000000003 |
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|
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|
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|
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|
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|
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|
value: -6.0224 |
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|
value: 54.8418 |
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|
value: -10.423399999999999 |
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value: -39.0221 |
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|
value: 43.1654 |
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value: 44.2628 |
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|
value: 35.7925 |
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value: 1.6458 |
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value: -27.0335 |
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|
value: 26.404600000000002 |
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|
value: -17.0012 |
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value: -24.5528 |
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value: -39.0221 |
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|
value: 43.1654 |
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- type: nauc_recall_at_3_max |
|
value: -25.879 |
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- type: nauc_recall_at_3_std |
|
value: -44.1289 |
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|
value: 47.4893 |
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- type: nauc_recall_at_5_max |
|
value: -13.772100000000002 |
|
- type: nauc_recall_at_5_std |
|
value: -40.1422 |
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- type: nauc_recall_at_5_diff1 |
|
value: 39.330999999999996 |
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- type: nauc_recall_at_10_max |
|
value: 4.0767 |
|
- type: nauc_recall_at_10_std |
|
value: -29.424 |
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- type: nauc_recall_at_10_diff1 |
|
value: 29.5336 |
|
- type: nauc_recall_at_20_max |
|
value: 14.8913 |
|
- type: nauc_recall_at_20_std |
|
value: -19.5402 |
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- type: nauc_recall_at_20_diff1 |
|
value: 26.073600000000003 |
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- type: nauc_recall_at_100_max |
|
value: 31.211299999999998 |
|
- type: nauc_recall_at_100_std |
|
value: 11.8853 |
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- type: nauc_recall_at_100_diff1 |
|
value: 14.6443 |
|
- type: nauc_recall_at_1000_max |
|
value: 58.8386 |
|
- type: nauc_recall_at_1000_std |
|
value: 56.207499999999996 |
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- type: nauc_recall_at_1000_diff1 |
|
value: -18.0195 |
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|
value: -20.0121 |
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|
value: 51.1284 |
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|
value: -8.704 |
|
- type: nauc_precision_at_3_max |
|
value: -9.1761 |
|
- type: nauc_precision_at_3_std |
|
value: 30.326199999999996 |
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|
value: -7.4456999999999995 |
|
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|
value: 27.019199999999998 |
|
- type: nauc_precision_at_5_std |
|
value: 48.472500000000004 |
|
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|
value: -26.854699999999998 |
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|
value: 50.9757 |
|
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|
value: 68.3571 |
|
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|
value: -32.1952 |
|
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|
value: 41.492200000000004 |
|
- type: nauc_precision_at_20_std |
|
value: 70.55 |
|
- type: nauc_precision_at_20_diff1 |
|
value: -41.8062 |
|
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|
value: 27.505000000000003 |
|
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|
value: 69.5764 |
|
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|
value: -38.202999999999996 |
|
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|
value: 21.4555 |
|
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|
value: 63.6424 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: -43.9172 |
|
- type: nauc_mrr_at_1_max |
|
value: -20.0121 |
|
- type: nauc_mrr_at_1_std |
|
value: 51.1284 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: -8.704 |
|
- type: nauc_mrr_at_3_max |
|
value: -0.6542 |
|
- type: nauc_mrr_at_3_std |
|
value: 58.9038 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: 0.9070999999999999 |
|
- type: nauc_mrr_at_5_max |
|
value: -0.6542 |
|
- type: nauc_mrr_at_5_std |
|
value: 58.9038 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 0.9070999999999999 |
|
- type: nauc_mrr_at_10_max |
|
value: -5.0217 |
|
- type: nauc_mrr_at_10_std |
|
value: 57.12049999999999 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: -3.3927 |
|
- type: nauc_mrr_at_20_max |
|
value: -5.0217 |
|
- type: nauc_mrr_at_20_std |
|
value: 57.12049999999999 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: -3.3927 |
|
- type: nauc_mrr_at_100_max |
|
value: -5.0217 |
|
- type: nauc_mrr_at_100_std |
|
value: 57.12049999999999 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: -3.3927 |
|
- type: nauc_mrr_at_1000_max |
|
value: -5.0217 |
|
- type: nauc_mrr_at_1000_std |
|
value: 57.12049999999999 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: -3.3927 |
|
- type: main_score |
|
value: 68.939 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: en |
|
name: MTEB MTOPDomainClassification (en) |
|
revision: d80d48c1eb48d3562165c59d59d0034df9fff0bf |
|
split: test |
|
type: mteb/mtop_domain |
|
metrics: |
|
- type: accuracy |
|
value: 95.1687 |
|
- type: f1 |
|
value: 94.9182 |
|
- type: f1_weighted |
|
value: 95.1696 |
|
- type: main_score |
|
value: 95.1687 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: en |
|
name: MTEB MTOPIntentClassification (en) |
|
revision: ae001d0e6b1228650b7bd1c2c65fb50ad11a8aba |
|
split: test |
|
type: mteb/mtop_intent |
|
metrics: |
|
- type: accuracy |
|
value: 76.7966 |
|
- type: f1 |
|
value: 57.647400000000005 |
|
- type: f1_weighted |
|
value: 79.7207 |
|
- type: main_score |
|
value: 76.7966 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: en |
|
name: MTEB MassiveIntentClassification (en) |
|
revision: 4672e20407010da34463acc759c162ca9734bca6 |
|
split: test |
|
type: mteb/amazon_massive_intent |
|
metrics: |
|
- type: accuracy |
|
value: 75.3463 |
|
- type: f1 |
|
value: 72.7297 |
|
- type: f1_weighted |
|
value: 75.4192 |
|
- type: main_score |
|
value: 75.3463 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: en |
|
name: MTEB MassiveScenarioClassification (en) |
|
revision: fad2c6e8459f9e1c45d9315f4953d921437d70f8 |
|
split: test |
|
type: mteb/amazon_massive_scenario |
|
metrics: |
|
- type: accuracy |
|
value: 80.2017 |
|
- type: f1 |
|
value: 80.0488 |
|
- type: f1_weighted |
|
value: 80.2537 |
|
- type: main_score |
|
value: 80.2017 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB MedrxivClusteringP2P (default) |
|
revision: e7a26af6f3ae46b30dde8737f02c07b1505bcc73 |
|
split: test |
|
type: mteb/medrxiv-clustering-p2p |
|
metrics: |
|
- type: v_measure |
|
value: 35.1713 |
|
- type: v_measure_std |
|
value: 1.6439 |
|
- type: main_score |
|
value: 35.1713 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB MedrxivClusteringS2S (default) |
|
revision: 35191c8c0dca72d8ff3efcd72aa802307d469663 |
|
split: test |
|
type: mteb/medrxiv-clustering-s2s |
|
metrics: |
|
- type: v_measure |
|
value: 32.9144 |
|
- type: v_measure_std |
|
value: 1.4911 |
|
- type: main_score |
|
value: 32.9144 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB MindSmallReranking (default) |
|
revision: 59042f120c80e8afa9cdbb224f67076cec0fc9a7 |
|
split: test |
|
type: mteb/mind_small |
|
metrics: |
|
- type: map |
|
value: 32.153 |
|
- type: mrr |
|
value: 33.3426 |
|
- type: nAUC_map_max |
|
value: -19.1377 |
|
- type: nAUC_map_std |
|
value: 0.149 |
|
- type: nAUC_map_diff1 |
|
value: 14.794199999999998 |
|
- type: nAUC_mrr_max |
|
value: -13.591000000000001 |
|
- type: nAUC_mrr_std |
|
value: 1.5715 |
|
- type: nAUC_mrr_diff1 |
|
value: 13.850299999999999 |
|
- type: main_score |
|
value: 32.153 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB NFCorpus (default) |
|
revision: ec0fa4fe99da2ff19ca1214b7966684033a58814 |
|
split: test |
|
type: mteb/nfcorpus |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 48.607 |
|
- type: ndcg_at_3 |
|
value: 42.187000000000005 |
|
- type: ndcg_at_5 |
|
value: 39.009 |
|
- type: ndcg_at_10 |
|
value: 36.169000000000004 |
|
- type: ndcg_at_20 |
|
value: 33.562 |
|
- type: ndcg_at_100 |
|
value: 33.104 |
|
- type: ndcg_at_1000 |
|
value: 41.760999999999996 |
|
- type: map_at_1 |
|
value: 6.802 |
|
- type: map_at_3 |
|
value: 10.333 |
|
- type: map_at_5 |
|
value: 11.737 |
|
- type: map_at_10 |
|
value: 13.79 |
|
- type: map_at_20 |
|
value: 15.157000000000002 |
|
- type: map_at_100 |
|
value: 17.151 |
|
- type: map_at_1000 |
|
value: 18.584 |
|
- type: recall_at_1 |
|
value: 6.802 |
|
- type: recall_at_3 |
|
value: 11.18 |
|
- type: recall_at_5 |
|
value: 13.381000000000002 |
|
- type: recall_at_10 |
|
value: 17.803 |
|
- type: recall_at_20 |
|
value: 21.386 |
|
- type: recall_at_100 |
|
value: 33.885 |
|
- type: recall_at_1000 |
|
value: 65.12400000000001 |
|
- type: precision_at_1 |
|
value: 50.464 |
|
- type: precision_at_3 |
|
value: 38.906 |
|
- type: precision_at_5 |
|
value: 32.940999999999995 |
|
- type: precision_at_10 |
|
value: 26.346999999999998 |
|
- type: precision_at_20 |
|
value: 19.256999999999998 |
|
- type: precision_at_100 |
|
value: 8.195 |
|
- type: precision_at_1000 |
|
value: 2.089 |
|
- type: mrr_at_1 |
|
value: 50.4644 |
|
- type: mrr_at_3 |
|
value: 56.192 |
|
- type: mrr_at_5 |
|
value: 57.291000000000004 |
|
- type: mrr_at_10 |
|
value: 58.0675 |
|
- type: mrr_at_20 |
|
value: 58.3226 |
|
- type: mrr_at_100 |
|
value: 58.5468 |
|
- type: mrr_at_1000 |
|
value: 58.5796 |
|
- type: nauc_ndcg_at_1_max |
|
value: 45.467200000000005 |
|
- type: nauc_ndcg_at_1_std |
|
value: 22.6949 |
|
- type: nauc_ndcg_at_1_diff1 |
|
value: 33.6355 |
|
- type: nauc_ndcg_at_3_max |
|
value: 45.142500000000005 |
|
- type: nauc_ndcg_at_3_std |
|
value: 24.959500000000002 |
|
- type: nauc_ndcg_at_3_diff1 |
|
value: 26.7806 |
|
- type: nauc_ndcg_at_5_max |
|
value: 44.469300000000004 |
|
- type: nauc_ndcg_at_5_std |
|
value: 24.3982 |
|
- type: nauc_ndcg_at_5_diff1 |
|
value: 25.5857 |
|
- type: nauc_ndcg_at_10_max |
|
value: 42.0122 |
|
- type: nauc_ndcg_at_10_std |
|
value: 24.1633 |
|
- type: nauc_ndcg_at_10_diff1 |
|
value: 24.2929 |
|
- type: nauc_ndcg_at_20_max |
|
value: 40.6318 |
|
- type: nauc_ndcg_at_20_std |
|
value: 22.7217 |
|
- type: nauc_ndcg_at_20_diff1 |
|
value: 25.798700000000004 |
|
- type: nauc_ndcg_at_100_max |
|
value: 41.7585 |
|
- type: nauc_ndcg_at_100_std |
|
value: 24.1505 |
|
- type: nauc_ndcg_at_100_diff1 |
|
value: 26.6365 |
|
- type: nauc_ndcg_at_1000_max |
|
value: 47.1972 |
|
- type: nauc_ndcg_at_1000_std |
|
value: 31.6376 |
|
- type: nauc_ndcg_at_1000_diff1 |
|
value: 27.139000000000003 |
|
- type: nauc_map_at_1_max |
|
value: 11.7018 |
|
- type: nauc_map_at_1_std |
|
value: -17.1298 |
|
- type: nauc_map_at_1_diff1 |
|
value: 35.7342 |
|
- type: nauc_map_at_3_max |
|
value: 16.7865 |
|
- type: nauc_map_at_3_std |
|
value: -12.6553 |
|
- type: nauc_map_at_3_diff1 |
|
value: 32.4631 |
|
- type: nauc_map_at_5_max |
|
value: 19.8374 |
|
- type: nauc_map_at_5_std |
|
value: -9.831900000000001 |
|
- type: nauc_map_at_5_diff1 |
|
value: 30.3059 |
|
- type: nauc_map_at_10_max |
|
value: 23.1241 |
|
- type: nauc_map_at_10_std |
|
value: -4.3334 |
|
- type: nauc_map_at_10_diff1 |
|
value: 27.8592 |
|
- type: nauc_map_at_20_max |
|
value: 25.9996 |
|
- type: nauc_map_at_20_std |
|
value: 0.2903 |
|
- type: nauc_map_at_20_diff1 |
|
value: 27.5812 |
|
- type: nauc_map_at_100_max |
|
value: 29.1744 |
|
- type: nauc_map_at_100_std |
|
value: 6.569999999999999 |
|
- type: nauc_map_at_100_diff1 |
|
value: 26.7722 |
|
- type: nauc_map_at_1000_max |
|
value: 30.721799999999998 |
|
- type: nauc_map_at_1000_std |
|
value: 10.288 |
|
- type: nauc_map_at_1000_diff1 |
|
value: 26.2332 |
|
- type: nauc_recall_at_1_max |
|
value: 11.7018 |
|
- type: nauc_recall_at_1_std |
|
value: -17.1298 |
|
- type: nauc_recall_at_1_diff1 |
|
value: 35.7342 |
|
- type: nauc_recall_at_3_max |
|
value: 16.7435 |
|
- type: nauc_recall_at_3_std |
|
value: -10.9179 |
|
- type: nauc_recall_at_3_diff1 |
|
value: 32.0051 |
|
- type: nauc_recall_at_5_max |
|
value: 19.1975 |
|
- type: nauc_recall_at_5_std |
|
value: -8.4723 |
|
- type: nauc_recall_at_5_diff1 |
|
value: 28.8028 |
|
- type: nauc_recall_at_10_max |
|
value: 18.8131 |
|
- type: nauc_recall_at_10_std |
|
value: -4.1152 |
|
- type: nauc_recall_at_10_diff1 |
|
value: 22.104599999999998 |
|
- type: nauc_recall_at_20_max |
|
value: 21.572 |
|
- type: nauc_recall_at_20_std |
|
value: 1.9236 |
|
- type: nauc_recall_at_20_diff1 |
|
value: 23.8769 |
|
- type: nauc_recall_at_100_max |
|
value: 23.977899999999998 |
|
- type: nauc_recall_at_100_std |
|
value: 14.8828 |
|
- type: nauc_recall_at_100_diff1 |
|
value: 17.0044 |
|
- type: nauc_recall_at_1000_max |
|
value: 22.2311 |
|
- type: nauc_recall_at_1000_std |
|
value: 22.386200000000002 |
|
- type: nauc_recall_at_1000_diff1 |
|
value: 6.5203999999999995 |
|
- type: nauc_precision_at_1_max |
|
value: 46.517199999999995 |
|
- type: nauc_precision_at_1_std |
|
value: 23.0247 |
|
- type: nauc_precision_at_1_diff1 |
|
value: 33.0706 |
|
- type: nauc_precision_at_3_max |
|
value: 45.5606 |
|
- type: nauc_precision_at_3_std |
|
value: 30.495100000000004 |
|
- type: nauc_precision_at_3_diff1 |
|
value: 16.9294 |
|
- type: nauc_precision_at_5_max |
|
value: 44.2782 |
|
- type: nauc_precision_at_5_std |
|
value: 32.9713 |
|
- type: nauc_precision_at_5_diff1 |
|
value: 12.0032 |
|
- type: nauc_precision_at_10_max |
|
value: 39.396 |
|
- type: nauc_precision_at_10_std |
|
value: 38.0743 |
|
- type: nauc_precision_at_10_diff1 |
|
value: 6.7242 |
|
- type: nauc_precision_at_20_max |
|
value: 35.2344 |
|
- type: nauc_precision_at_20_std |
|
value: 40.172799999999995 |
|
- type: nauc_precision_at_20_diff1 |
|
value: 5.6135 |
|
- type: nauc_precision_at_100_max |
|
value: 26.052799999999998 |
|
- type: nauc_precision_at_100_std |
|
value: 42.7801 |
|
- type: nauc_precision_at_100_diff1 |
|
value: -1.6164 |
|
- type: nauc_precision_at_1000_max |
|
value: 12.784699999999999 |
|
- type: nauc_precision_at_1000_std |
|
value: 31.784299999999998 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: -7.8899 |
|
- type: nauc_mrr_at_1_max |
|
value: 46.517199999999995 |
|
- type: nauc_mrr_at_1_std |
|
value: 23.0247 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: 33.0706 |
|
- type: nauc_mrr_at_3_max |
|
value: 51.1949 |
|
- type: nauc_mrr_at_3_std |
|
value: 28.8621 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: 33.778200000000005 |
|
- type: nauc_mrr_at_5_max |
|
value: 51.6085 |
|
- type: nauc_mrr_at_5_std |
|
value: 29.293200000000002 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 34.0295 |
|
- type: nauc_mrr_at_10_max |
|
value: 52.2656 |
|
- type: nauc_mrr_at_10_std |
|
value: 30.303200000000004 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: 33.4433 |
|
- type: nauc_mrr_at_20_max |
|
value: 52.237 |
|
- type: nauc_mrr_at_20_std |
|
value: 30.351899999999997 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: 33.4986 |
|
- type: nauc_mrr_at_100_max |
|
value: 52.282399999999996 |
|
- type: nauc_mrr_at_100_std |
|
value: 30.3773 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: 33.482299999999995 |
|
- type: nauc_mrr_at_1000_max |
|
value: 52.2502 |
|
- type: nauc_mrr_at_1000_std |
|
value: 30.337199999999996 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 33.4671 |
|
- type: main_score |
|
value: 36.169000000000004 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB NQ (default) |
|
revision: b774495ed302d8c44a3a7ea25c90dbce03968f31 |
|
split: test |
|
type: mteb/nq |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 32.706 |
|
- type: ndcg_at_3 |
|
value: 43.933 |
|
- type: ndcg_at_5 |
|
value: 48.466 |
|
- type: ndcg_at_10 |
|
value: 52.209 |
|
- type: ndcg_at_20 |
|
value: 54.308 |
|
- type: ndcg_at_100 |
|
value: 56.579 |
|
- type: ndcg_at_1000 |
|
value: 57.326 |
|
- type: map_at_1 |
|
value: 28.932999999999996 |
|
- type: map_at_3 |
|
value: 39.976 |
|
- type: map_at_5 |
|
value: 42.701 |
|
- type: map_at_10 |
|
value: 44.405 |
|
- type: map_at_20 |
|
value: 45.059 |
|
- type: map_at_100 |
|
value: 45.437 |
|
- type: map_at_1000 |
|
value: 45.472 |
|
- type: recall_at_1 |
|
value: 28.932999999999996 |
|
- type: recall_at_3 |
|
value: 52.12 |
|
- type: recall_at_5 |
|
value: 62.563 |
|
- type: recall_at_10 |
|
value: 73.47200000000001 |
|
- type: recall_at_20 |
|
value: 81.24 |
|
- type: recall_at_100 |
|
value: 92.49000000000001 |
|
- type: recall_at_1000 |
|
value: 97.941 |
|
- type: precision_at_1 |
|
value: 32.706 |
|
- type: precision_at_3 |
|
value: 20.278 |
|
- type: precision_at_5 |
|
value: 14.762 |
|
- type: precision_at_10 |
|
value: 8.749 |
|
- type: precision_at_20 |
|
value: 4.874 |
|
- type: precision_at_100 |
|
value: 1.1199999999999999 |
|
- type: precision_at_1000 |
|
value: 0.11900000000000001 |
|
- type: mrr_at_1 |
|
value: 32.7346 |
|
- type: mrr_at_3 |
|
value: 43.235800000000005 |
|
- type: mrr_at_5 |
|
value: 45.533 |
|
- type: mrr_at_10 |
|
value: 46.9196 |
|
- type: mrr_at_20 |
|
value: 47.4181 |
|
- type: mrr_at_100 |
|
value: 47.693999999999996 |
|
- type: mrr_at_1000 |
|
value: 47.7169 |
|
- type: nauc_ndcg_at_1_max |
|
value: 26.2896 |
|
- type: nauc_ndcg_at_1_std |
|
value: 1.1048 |
|
- type: nauc_ndcg_at_1_diff1 |
|
value: 31.3312 |
|
- type: nauc_ndcg_at_3_max |
|
value: 29.8885 |
|
- type: nauc_ndcg_at_3_std |
|
value: 0.4664 |
|
- type: nauc_ndcg_at_3_diff1 |
|
value: 28.589399999999998 |
|
- type: nauc_ndcg_at_5_max |
|
value: 31.5317 |
|
- type: nauc_ndcg_at_5_std |
|
value: 1.5392 |
|
- type: nauc_ndcg_at_5_diff1 |
|
value: 28.6315 |
|
- type: nauc_ndcg_at_10_max |
|
value: 33.4069 |
|
- type: nauc_ndcg_at_10_std |
|
value: 3.6954000000000002 |
|
- type: nauc_ndcg_at_10_diff1 |
|
value: 27.74 |
|
- type: nauc_ndcg_at_20_max |
|
value: 33.697700000000005 |
|
- type: nauc_ndcg_at_20_std |
|
value: 4.7471 |
|
- type: nauc_ndcg_at_20_diff1 |
|
value: 27.9665 |
|
- type: nauc_ndcg_at_100_max |
|
value: 33.279399999999995 |
|
- type: nauc_ndcg_at_100_std |
|
value: 5.3782000000000005 |
|
- type: nauc_ndcg_at_100_diff1 |
|
value: 28.2474 |
|
- type: nauc_ndcg_at_1000_max |
|
value: 32.4501 |
|
- type: nauc_ndcg_at_1000_std |
|
value: 4.5179 |
|
- type: nauc_ndcg_at_1000_diff1 |
|
value: 28.331899999999997 |
|
- type: nauc_map_at_1_max |
|
value: 24.7363 |
|
- type: nauc_map_at_1_std |
|
value: -0.6479 |
|
- type: nauc_map_at_1_diff1 |
|
value: 31.497199999999996 |
|
- type: nauc_map_at_3_max |
|
value: 28.741600000000002 |
|
- type: nauc_map_at_3_std |
|
value: -0.05109999999999999 |
|
- type: nauc_map_at_3_diff1 |
|
value: 29.2811 |
|
- type: nauc_map_at_5_max |
|
value: 29.685499999999998 |
|
- type: nauc_map_at_5_std |
|
value: 0.5791000000000001 |
|
- type: nauc_map_at_5_diff1 |
|
value: 29.325400000000002 |
|
- type: nauc_map_at_10_max |
|
value: 30.532999999999998 |
|
- type: nauc_map_at_10_std |
|
value: 1.5084 |
|
- type: nauc_map_at_10_diff1 |
|
value: 28.9343 |
|
- type: nauc_map_at_20_max |
|
value: 30.6068 |
|
- type: nauc_map_at_20_std |
|
value: 1.8215 |
|
- type: nauc_map_at_20_diff1 |
|
value: 28.998400000000004 |
|
- type: nauc_map_at_100_max |
|
value: 30.543 |
|
- type: nauc_map_at_100_std |
|
value: 1.9633 |
|
- type: nauc_map_at_100_diff1 |
|
value: 29.0283 |
|
- type: nauc_map_at_1000_max |
|
value: 30.511300000000002 |
|
- type: nauc_map_at_1000_std |
|
value: 1.9339 |
|
- type: nauc_map_at_1000_diff1 |
|
value: 29.034399999999998 |
|
- type: nauc_recall_at_1_max |
|
value: 24.7363 |
|
- type: nauc_recall_at_1_std |
|
value: -0.6479 |
|
- type: nauc_recall_at_1_diff1 |
|
value: 31.497199999999996 |
|
- type: nauc_recall_at_3_max |
|
value: 31.555100000000003 |
|
- type: nauc_recall_at_3_std |
|
value: 0.0060999999999999995 |
|
- type: nauc_recall_at_3_diff1 |
|
value: 26.214900000000004 |
|
- type: nauc_recall_at_5_max |
|
value: 35.652899999999995 |
|
- type: nauc_recall_at_5_std |
|
value: 2.3843 |
|
- type: nauc_recall_at_5_diff1 |
|
value: 25.969900000000003 |
|
- type: nauc_recall_at_10_max |
|
value: 43.6854 |
|
- type: nauc_recall_at_10_std |
|
value: 10.3933 |
|
- type: nauc_recall_at_10_diff1 |
|
value: 22.1579 |
|
- type: nauc_recall_at_20_max |
|
value: 49.2344 |
|
- type: nauc_recall_at_20_std |
|
value: 18.3796 |
|
- type: nauc_recall_at_20_diff1 |
|
value: 22.4406 |
|
- type: nauc_recall_at_100_max |
|
value: 63.3208 |
|
- type: nauc_recall_at_100_std |
|
value: 44.196600000000004 |
|
- type: nauc_recall_at_100_diff1 |
|
value: 22.182199999999998 |
|
- type: nauc_recall_at_1000_max |
|
value: 71.2236 |
|
- type: nauc_recall_at_1000_std |
|
value: 65.73740000000001 |
|
- type: nauc_recall_at_1000_diff1 |
|
value: 15.8222 |
|
- type: nauc_precision_at_1_max |
|
value: 26.2896 |
|
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task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB QuoraRetrieval (default) |
|
revision: e4e08e0b7dbe3c8700f0daef558ff32256715259 |
|
split: test |
|
type: mteb/quora |
|
metrics: |
|
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|
value: 80.69 |
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|
value: 84.797 |
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value: 88.478 |
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value: 89.071 |
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value: 89.18 |
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value: 70.099 |
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value: 80.93599999999999 |
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|
value: 82.879 |
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|
value: 83.956 |
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value: 84.385 |
|
- type: map_at_100 |
|
value: 84.607 |
|
- type: map_at_1000 |
|
value: 84.625 |
|
- type: recall_at_1 |
|
value: 70.099 |
|
- type: recall_at_3 |
|
value: 86.536 |
|
- type: recall_at_5 |
|
value: 91.255 |
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- type: recall_at_10 |
|
value: 95.021 |
|
- type: recall_at_20 |
|
value: 97.33699999999999 |
|
- type: recall_at_100 |
|
value: 99.50099999999999 |
|
- type: recall_at_1000 |
|
value: 99.981 |
|
- type: precision_at_1 |
|
value: 80.69 |
|
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|
value: 37.037 |
|
- type: precision_at_5 |
|
value: 24.446 |
|
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|
value: 13.313 |
|
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|
value: 7.072000000000001 |
|
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|
value: 1.525 |
|
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|
value: 0.157 |
|
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|
value: 80.69 |
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|
value: 85.9717 |
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- type: mrr_at_5 |
|
value: 86.68169999999999 |
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value: 86.9905 |
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value: 87.08449999999999 |
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value: 87.1116 |
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value: 39.2716 |
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value: -39.1137 |
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|
value: 76.702 |
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|
value: 39.2623 |
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value: -38.8435 |
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|
value: 76.7751 |
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|
value: 39.291599999999995 |
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value: -38.6963 |
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|
value: 76.8025 |
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|
value: 39.2665 |
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|
value: -38.6881 |
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|
value: 76.8087 |
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|
value: 39.265 |
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|
value: -38.6894 |
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|
value: 76.8087 |
|
- type: main_score |
|
value: 87.764 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB RedditClustering (default) |
|
revision: 24640382cdbf8abc73003fb0fa6d111a705499eb |
|
split: test |
|
type: mteb/reddit-clustering |
|
metrics: |
|
- type: v_measure |
|
value: 56.0955 |
|
- type: v_measure_std |
|
value: 4.1444 |
|
- type: main_score |
|
value: 56.0955 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB RedditClusteringP2P (default) |
|
revision: 385e3cb46b4cfa89021f56c4380204149d0efe33 |
|
split: test |
|
type: mteb/reddit-clustering-p2p |
|
metrics: |
|
- type: v_measure |
|
value: 65.384 |
|
- type: v_measure_std |
|
value: 13.046199999999999 |
|
- type: main_score |
|
value: 65.384 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB SCIDOCS (default) |
|
revision: f8c2fcf00f625baaa80f62ec5bd9e1fff3b8ae88 |
|
split: test |
|
type: mteb/scidocs |
|
metrics: |
|
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|
value: 24.3 |
|
- type: ndcg_at_3 |
|
value: 20.251 |
|
- type: ndcg_at_5 |
|
value: 17.71 |
|
- type: ndcg_at_10 |
|
value: 21.315 |
|
- type: ndcg_at_20 |
|
value: 24.345 |
|
- type: ndcg_at_100 |
|
value: 30.112 |
|
- type: ndcg_at_1000 |
|
value: 35.801 |
|
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|
value: 4.928 |
|
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|
value: 9.137 |
|
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|
value: 10.911 |
|
- type: map_at_10 |
|
value: 12.806000000000001 |
|
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|
value: 13.963999999999999 |
|
- type: map_at_100 |
|
value: 15.110999999999999 |
|
- type: map_at_1000 |
|
value: 15.459 |
|
- type: recall_at_1 |
|
value: 4.928 |
|
- type: recall_at_3 |
|
value: 11.623 |
|
- type: recall_at_5 |
|
value: 15.873000000000001 |
|
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|
value: 22.472 |
|
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|
value: 29.592000000000002 |
|
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|
value: 48.323 |
|
- type: recall_at_1000 |
|
value: 75.98 |
|
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|
value: 24.3 |
|
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|
value: 19.133 |
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
value: 32.2 |
|
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|
value: 34.25 |
|
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|
value: 35.6756 |
|
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|
value: 36.3198 |
|
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|
value: 36.803000000000004 |
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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value: 28.143400000000003 |
|
- type: nauc_map_at_5_std |
|
value: 13.580300000000001 |
|
- type: nauc_map_at_5_diff1 |
|
value: 14.551400000000001 |
|
- type: nauc_map_at_10_max |
|
value: 29.0445 |
|
- type: nauc_map_at_10_std |
|
value: 16.6485 |
|
- type: nauc_map_at_10_diff1 |
|
value: 12.8547 |
|
- type: nauc_map_at_20_max |
|
value: 29.8504 |
|
- type: nauc_map_at_20_std |
|
value: 18.9913 |
|
- type: nauc_map_at_20_diff1 |
|
value: 12.770599999999998 |
|
- type: nauc_map_at_100_max |
|
value: 30.422900000000002 |
|
- type: nauc_map_at_100_std |
|
value: 20.7576 |
|
- type: nauc_map_at_100_diff1 |
|
value: 13.0239 |
|
- type: nauc_map_at_1000_max |
|
value: 30.462099999999996 |
|
- type: nauc_map_at_1000_std |
|
value: 20.965400000000002 |
|
- type: nauc_map_at_1000_diff1 |
|
value: 13.022300000000001 |
|
- type: nauc_recall_at_1_max |
|
value: 24.7756 |
|
- type: nauc_recall_at_1_std |
|
value: 8.1475 |
|
- type: nauc_recall_at_1_diff1 |
|
value: 20.3463 |
|
- type: nauc_recall_at_3_max |
|
value: 26.9791 |
|
- type: nauc_recall_at_3_std |
|
value: 14.0122 |
|
- type: nauc_recall_at_3_diff1 |
|
value: 13.637599999999999 |
|
- type: nauc_recall_at_5_max |
|
value: 27.685 |
|
- type: nauc_recall_at_5_std |
|
value: 18.3045 |
|
- type: nauc_recall_at_5_diff1 |
|
value: 10.115 |
|
- type: nauc_recall_at_10_max |
|
value: 28.5451 |
|
- type: nauc_recall_at_10_std |
|
value: 23.112099999999998 |
|
- type: nauc_recall_at_10_diff1 |
|
value: 6.478000000000001 |
|
- type: nauc_recall_at_20_max |
|
value: 28.4223 |
|
- type: nauc_recall_at_20_std |
|
value: 28.2926 |
|
- type: nauc_recall_at_20_diff1 |
|
value: 5.9182 |
|
- type: nauc_recall_at_100_max |
|
value: 28.331200000000003 |
|
- type: nauc_recall_at_100_std |
|
value: 37.9557 |
|
- type: nauc_recall_at_100_diff1 |
|
value: 7.1856 |
|
- type: nauc_recall_at_1000_max |
|
value: 24.3488 |
|
- type: nauc_recall_at_1000_std |
|
value: 38.6121 |
|
- type: nauc_recall_at_1000_diff1 |
|
value: 6.1003 |
|
- type: nauc_precision_at_1_max |
|
value: 24.935499999999998 |
|
- type: nauc_precision_at_1_std |
|
value: 8.174299999999999 |
|
- type: nauc_precision_at_1_diff1 |
|
value: 20.458499999999997 |
|
- type: nauc_precision_at_3_max |
|
value: 27.0656 |
|
- type: nauc_precision_at_3_std |
|
value: 14.152899999999999 |
|
- type: nauc_precision_at_3_diff1 |
|
value: 13.8103 |
|
- type: nauc_precision_at_5_max |
|
value: 27.940199999999997 |
|
- type: nauc_precision_at_5_std |
|
value: 18.541 |
|
- type: nauc_precision_at_5_diff1 |
|
value: 10.355 |
|
- type: nauc_precision_at_10_max |
|
value: 28.9679 |
|
- type: nauc_precision_at_10_std |
|
value: 23.3067 |
|
- type: nauc_precision_at_10_diff1 |
|
value: 6.7616 |
|
- type: nauc_precision_at_20_max |
|
value: 28.813 |
|
- type: nauc_precision_at_20_std |
|
value: 28.274500000000003 |
|
- type: nauc_precision_at_20_diff1 |
|
value: 6.2097 |
|
- type: nauc_precision_at_100_max |
|
value: 28.6629 |
|
- type: nauc_precision_at_100_std |
|
value: 37.533 |
|
- type: nauc_precision_at_100_diff1 |
|
value: 7.6328 |
|
- type: nauc_precision_at_1000_max |
|
value: 25.0545 |
|
- type: nauc_precision_at_1000_std |
|
value: 37.317 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: 7.2360999999999995 |
|
- type: nauc_mrr_at_1_max |
|
value: 24.935499999999998 |
|
- type: nauc_mrr_at_1_std |
|
value: 8.174299999999999 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: 20.458499999999997 |
|
- type: nauc_mrr_at_3_max |
|
value: 26.037 |
|
- type: nauc_mrr_at_3_std |
|
value: 13.3509 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: 16.5581 |
|
- type: nauc_mrr_at_5_max |
|
value: 26.512200000000004 |
|
- type: nauc_mrr_at_5_std |
|
value: 14.1935 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 16.9622 |
|
- type: nauc_mrr_at_10_max |
|
value: 26.793699999999998 |
|
- type: nauc_mrr_at_10_std |
|
value: 14.475299999999999 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: 16.370199999999997 |
|
- type: nauc_mrr_at_20_max |
|
value: 26.6322 |
|
- type: nauc_mrr_at_20_std |
|
value: 14.619299999999999 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: 16.2574 |
|
- type: nauc_mrr_at_100_max |
|
value: 26.662999999999997 |
|
- type: nauc_mrr_at_100_std |
|
value: 14.5811 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: 16.4445 |
|
- type: nauc_mrr_at_1000_max |
|
value: 26.6509 |
|
- type: nauc_mrr_at_1000_std |
|
value: 14.5288 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 16.4617 |
|
- type: main_score |
|
value: 21.315 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB SICK-R (default) |
|
revision: 20a6d6f312dd54037fe07a32d58e5e168867909d |
|
split: test |
|
type: mteb/sickr-sts |
|
metrics: |
|
- type: pearson |
|
value: 85.2236 |
|
- type: spearman |
|
value: 79.552 |
|
- type: cosine_pearson |
|
value: 85.2236 |
|
- type: cosine_spearman |
|
value: 79.552 |
|
- type: manhattan_pearson |
|
value: 82.441 |
|
- type: manhattan_spearman |
|
value: 79.6522 |
|
- type: euclidean_pearson |
|
value: 82.461 |
|
- type: euclidean_spearman |
|
value: 79.586 |
|
- type: main_score |
|
value: 79.552 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS12 (default) |
|
revision: a0d554a64d88156834ff5ae9920b964011b16384 |
|
split: test |
|
type: mteb/sts12-sts |
|
metrics: |
|
- type: pearson |
|
value: 82.6717 |
|
- type: spearman |
|
value: 74.32900000000001 |
|
- type: cosine_pearson |
|
value: 82.6717 |
|
- type: cosine_spearman |
|
value: 74.32900000000001 |
|
- type: manhattan_pearson |
|
value: 78.64139999999999 |
|
- type: manhattan_spearman |
|
value: 74.2317 |
|
- type: euclidean_pearson |
|
value: 78.5872 |
|
- type: euclidean_spearman |
|
value: 74.11330000000001 |
|
- type: main_score |
|
value: 74.32900000000001 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS13 (default) |
|
revision: 7e90230a92c190f1bf69ae9002b8cea547a64cca |
|
split: test |
|
type: mteb/sts13-sts |
|
metrics: |
|
- type: pearson |
|
value: 82.4411 |
|
- type: spearman |
|
value: 83.5206 |
|
- type: cosine_pearson |
|
value: 82.4411 |
|
- type: cosine_spearman |
|
value: 83.5206 |
|
- type: manhattan_pearson |
|
value: 83.1748 |
|
- type: manhattan_spearman |
|
value: 83.2847 |
|
- type: euclidean_pearson |
|
value: 83.0033 |
|
- type: euclidean_spearman |
|
value: 83.1029 |
|
- type: main_score |
|
value: 83.5206 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS14 (default) |
|
revision: 6031580fec1f6af667f0bd2da0a551cf4f0b2375 |
|
split: test |
|
type: mteb/sts14-sts |
|
metrics: |
|
- type: pearson |
|
value: 82.8828 |
|
- type: spearman |
|
value: 80.6168 |
|
- type: cosine_pearson |
|
value: 82.8828 |
|
- type: cosine_spearman |
|
value: 80.6168 |
|
- type: manhattan_pearson |
|
value: 82.4454 |
|
- type: manhattan_spearman |
|
value: 80.5921 |
|
- type: euclidean_pearson |
|
value: 82.3376 |
|
- type: euclidean_spearman |
|
value: 80.4612 |
|
- type: main_score |
|
value: 80.6168 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS15 (default) |
|
revision: ae752c7c21bf194d8b67fd573edf7ae58183cbe3 |
|
split: test |
|
type: mteb/sts15-sts |
|
metrics: |
|
- type: pearson |
|
value: 85.74690000000001 |
|
- type: spearman |
|
value: 86.8576 |
|
- type: cosine_pearson |
|
value: 85.74690000000001 |
|
- type: cosine_spearman |
|
value: 86.8576 |
|
- type: manhattan_pearson |
|
value: 86.4696 |
|
- type: manhattan_spearman |
|
value: 86.7518 |
|
- type: euclidean_pearson |
|
value: 86.4535 |
|
- type: euclidean_spearman |
|
value: 86.7047 |
|
- type: main_score |
|
value: 86.8576 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STS16 (default) |
|
revision: 4d8694f8f0e0100860b497b999b3dbed754a0513 |
|
split: test |
|
type: mteb/sts16-sts |
|
metrics: |
|
- type: pearson |
|
value: 84.143 |
|
- type: spearman |
|
value: 85.4357 |
|
- type: cosine_pearson |
|
value: 84.143 |
|
- type: cosine_spearman |
|
value: 85.4357 |
|
- type: manhattan_pearson |
|
value: 84.6764 |
|
- type: manhattan_spearman |
|
value: 85.1899 |
|
- type: euclidean_pearson |
|
value: 84.6236 |
|
- type: euclidean_spearman |
|
value: 85.1268 |
|
- type: main_score |
|
value: 85.4357 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: en-ar |
|
name: MTEB STS17 (en-ar) |
|
revision: faeb762787bd10488a50c8b5be4a3b82e411949c |
|
split: test |
|
type: mteb/sts17-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 20.9391 |
|
- type: spearman |
|
value: 19.8291 |
|
- type: cosine_pearson |
|
value: 20.9391 |
|
- type: cosine_spearman |
|
value: 19.8291 |
|
- type: manhattan_pearson |
|
value: 20.0337 |
|
- type: manhattan_spearman |
|
value: 18.712 |
|
- type: euclidean_pearson |
|
value: 18.543000000000003 |
|
- type: euclidean_spearman |
|
value: 17.0394 |
|
- type: main_score |
|
value: 19.8291 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: es-en |
|
name: MTEB STS17 (es-en) |
|
revision: faeb762787bd10488a50c8b5be4a3b82e411949c |
|
split: test |
|
type: mteb/sts17-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 36.1076 |
|
- type: spearman |
|
value: 37.7431 |
|
- type: cosine_pearson |
|
value: 36.1076 |
|
- type: cosine_spearman |
|
value: 37.7431 |
|
- type: manhattan_pearson |
|
value: 36.2087 |
|
- type: manhattan_spearman |
|
value: 38.199 |
|
- type: euclidean_pearson |
|
value: 36.003299999999996 |
|
- type: euclidean_spearman |
|
value: 38.2931 |
|
- type: main_score |
|
value: 37.7431 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: en-tr |
|
name: MTEB STS17 (en-tr) |
|
revision: faeb762787bd10488a50c8b5be4a3b82e411949c |
|
split: test |
|
type: mteb/sts17-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 15.581900000000001 |
|
- type: spearman |
|
value: 14.9257 |
|
- type: cosine_pearson |
|
value: 15.581900000000001 |
|
- type: cosine_spearman |
|
value: 14.9257 |
|
- type: manhattan_pearson |
|
value: 13.941 |
|
- type: manhattan_spearman |
|
value: 12.1139 |
|
- type: euclidean_pearson |
|
value: 13.839799999999999 |
|
- type: euclidean_spearman |
|
value: 12.092600000000001 |
|
- type: main_score |
|
value: 14.9257 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: en-en |
|
name: MTEB STS17 (en-en) |
|
revision: faeb762787bd10488a50c8b5be4a3b82e411949c |
|
split: test |
|
type: mteb/sts17-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 89.1055 |
|
- type: spearman |
|
value: 89.74849999999999 |
|
- type: cosine_pearson |
|
value: 89.1055 |
|
- type: cosine_spearman |
|
value: 89.74849999999999 |
|
- type: manhattan_pearson |
|
value: 89.35889999999999 |
|
- type: manhattan_spearman |
|
value: 89.6548 |
|
- type: euclidean_pearson |
|
value: 89.3692 |
|
- type: euclidean_spearman |
|
value: 89.6819 |
|
- type: main_score |
|
value: 89.74849999999999 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: it-en |
|
name: MTEB STS17 (it-en) |
|
revision: faeb762787bd10488a50c8b5be4a3b82e411949c |
|
split: test |
|
type: mteb/sts17-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 34.056 |
|
- type: spearman |
|
value: 32.156 |
|
- type: cosine_pearson |
|
value: 34.056 |
|
- type: cosine_spearman |
|
value: 32.156 |
|
- type: manhattan_pearson |
|
value: 31.143900000000002 |
|
- type: manhattan_spearman |
|
value: 28.969099999999997 |
|
- type: euclidean_pearson |
|
value: 33.1061 |
|
- type: euclidean_spearman |
|
value: 31.0466 |
|
- type: main_score |
|
value: 32.156 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: en-de |
|
name: MTEB STS17 (en-de) |
|
revision: faeb762787bd10488a50c8b5be4a3b82e411949c |
|
split: test |
|
type: mteb/sts17-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 42.3601 |
|
- type: spearman |
|
value: 41.4203 |
|
- type: cosine_pearson |
|
value: 42.3601 |
|
- type: cosine_spearman |
|
value: 41.4203 |
|
- type: manhattan_pearson |
|
value: 39.981899999999996 |
|
- type: manhattan_spearman |
|
value: 38.0952 |
|
- type: euclidean_pearson |
|
value: 41.335499999999996 |
|
- type: euclidean_spearman |
|
value: 39.7943 |
|
- type: main_score |
|
value: 41.4203 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: fr-en |
|
name: MTEB STS17 (fr-en) |
|
revision: faeb762787bd10488a50c8b5be4a3b82e411949c |
|
split: test |
|
type: mteb/sts17-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 45.8696 |
|
- type: spearman |
|
value: 46.0298 |
|
- type: cosine_pearson |
|
value: 45.8696 |
|
- type: cosine_spearman |
|
value: 46.0298 |
|
- type: manhattan_pearson |
|
value: 45.3312 |
|
- type: manhattan_spearman |
|
value: 45.7096 |
|
- type: euclidean_pearson |
|
value: 44.8469 |
|
- type: euclidean_spearman |
|
value: 44.8071 |
|
- type: main_score |
|
value: 46.0298 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: nl-en |
|
name: MTEB STS17 (nl-en) |
|
revision: faeb762787bd10488a50c8b5be4a3b82e411949c |
|
split: test |
|
type: mteb/sts17-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 37.3649 |
|
- type: spearman |
|
value: 33.530300000000004 |
|
- type: cosine_pearson |
|
value: 37.3649 |
|
- type: cosine_spearman |
|
value: 33.530300000000004 |
|
- type: manhattan_pearson |
|
value: 37.3041 |
|
- type: manhattan_spearman |
|
value: 33.8571 |
|
- type: euclidean_pearson |
|
value: 37.292199999999994 |
|
- type: euclidean_spearman |
|
value: 32.3678 |
|
- type: main_score |
|
value: 33.530300000000004 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: es-en |
|
name: MTEB STS22 (es-en) |
|
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 |
|
split: test |
|
type: mteb/sts22-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 62.2414 |
|
- type: spearman |
|
value: 66.6849 |
|
- type: cosine_pearson |
|
value: 62.2414 |
|
- type: cosine_spearman |
|
value: 66.6849 |
|
- type: manhattan_pearson |
|
value: 63.226499999999994 |
|
- type: manhattan_spearman |
|
value: 66.6979 |
|
- type: euclidean_pearson |
|
value: 60.76390000000001 |
|
- type: euclidean_spearman |
|
value: 66.3358 |
|
- type: main_score |
|
value: 66.6849 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: de-en |
|
name: MTEB STS22 (de-en) |
|
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 |
|
split: test |
|
type: mteb/sts22-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 51.0323 |
|
- type: spearman |
|
value: 50.0918 |
|
- type: cosine_pearson |
|
value: 51.0323 |
|
- type: cosine_spearman |
|
value: 50.0918 |
|
- type: manhattan_pearson |
|
value: 54.5439 |
|
- type: manhattan_spearman |
|
value: 50.950399999999995 |
|
- type: euclidean_pearson |
|
value: 52.267799999999994 |
|
- type: euclidean_spearman |
|
value: 49.892399999999995 |
|
- type: main_score |
|
value: 50.0918 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: zh-en |
|
name: MTEB STS22 (zh-en) |
|
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 |
|
split: test |
|
type: mteb/sts22-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 43.2851 |
|
- type: spearman |
|
value: 45.153999999999996 |
|
- type: cosine_pearson |
|
value: 43.2851 |
|
- type: cosine_spearman |
|
value: 45.153999999999996 |
|
- type: manhattan_pearson |
|
value: 45.0203 |
|
- type: manhattan_spearman |
|
value: 47.6171 |
|
- type: euclidean_pearson |
|
value: 43.485 |
|
- type: euclidean_spearman |
|
value: 47.7715 |
|
- type: main_score |
|
value: 45.153999999999996 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: pl-en |
|
name: MTEB STS22 (pl-en) |
|
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 |
|
split: test |
|
type: mteb/sts22-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 56.3712 |
|
- type: spearman |
|
value: 55.114700000000006 |
|
- type: cosine_pearson |
|
value: 56.3712 |
|
- type: cosine_spearman |
|
value: 55.114700000000006 |
|
- type: manhattan_pearson |
|
value: 53.59159999999999 |
|
- type: manhattan_spearman |
|
value: 52.546499999999995 |
|
- type: euclidean_pearson |
|
value: 54.9622 |
|
- type: euclidean_spearman |
|
value: 53.2341 |
|
- type: main_score |
|
value: 55.114700000000006 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: en |
|
name: MTEB STS22 (en) |
|
revision: de9d86b3b84231dc21f76c7b7af1f28e2f57f6e3 |
|
split: test |
|
type: mteb/sts22-crosslingual-sts |
|
metrics: |
|
- type: pearson |
|
value: 68.4414 |
|
- type: spearman |
|
value: 68.3308 |
|
- type: cosine_pearson |
|
value: 68.4414 |
|
- type: cosine_spearman |
|
value: 68.3308 |
|
- type: manhattan_pearson |
|
value: 69.8215 |
|
- type: manhattan_spearman |
|
value: 68.7828 |
|
- type: euclidean_pearson |
|
value: 69.5641 |
|
- type: euclidean_spearman |
|
value: 68.56269999999999 |
|
- type: main_score |
|
value: 68.3308 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB STSBenchmark (default) |
|
revision: b0fddb56ed78048fa8b90373c8a3cfc37b684831 |
|
split: test |
|
type: mteb/stsbenchmark-sts |
|
metrics: |
|
- type: pearson |
|
value: 86.0724 |
|
- type: spearman |
|
value: 86.2449 |
|
- type: cosine_pearson |
|
value: 86.0724 |
|
- type: cosine_spearman |
|
value: 86.2449 |
|
- type: manhattan_pearson |
|
value: 86.2033 |
|
- type: manhattan_spearman |
|
value: 86.0523 |
|
- type: euclidean_pearson |
|
value: 86.1487 |
|
- type: euclidean_spearman |
|
value: 85.9842 |
|
- type: main_score |
|
value: 86.2449 |
|
task: |
|
type: STS |
|
- dataset: |
|
config: default |
|
name: MTEB SciDocsRR (default) |
|
revision: d3c5e1fc0b855ab6097bf1cda04dd73947d7caab |
|
split: test |
|
type: mteb/scidocs-reranking |
|
metrics: |
|
- type: map |
|
value: 84.4126 |
|
- type: mrr |
|
value: 95.4755 |
|
- type: nAUC_map_max |
|
value: 55.527300000000004 |
|
- type: nAUC_map_std |
|
value: 71.4269 |
|
- type: nAUC_map_diff1 |
|
value: 1.0592000000000001 |
|
- type: nAUC_mrr_max |
|
value: 87.11959999999999 |
|
- type: nAUC_mrr_std |
|
value: 82.7146 |
|
- type: nAUC_mrr_diff1 |
|
value: 44.2384 |
|
- type: main_score |
|
value: 84.4126 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB SciFact (default) |
|
revision: 0228b52cf27578f30900b9e5271d331663a030d7 |
|
split: test |
|
type: mteb/scifact |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 62.333000000000006 |
|
- type: ndcg_at_3 |
|
value: 67.297 |
|
- type: ndcg_at_5 |
|
value: 69.24900000000001 |
|
- type: ndcg_at_10 |
|
value: 72.63199999999999 |
|
- type: ndcg_at_20 |
|
value: 73.6 |
|
- type: ndcg_at_100 |
|
value: 74.889 |
|
- type: ndcg_at_1000 |
|
value: 75.453 |
|
- type: map_at_1 |
|
value: 59.733000000000004 |
|
- type: map_at_3 |
|
value: 65.194 |
|
- type: map_at_5 |
|
value: 66.616 |
|
- type: map_at_10 |
|
value: 68.158 |
|
- type: map_at_20 |
|
value: 68.464 |
|
- type: map_at_100 |
|
value: 68.686 |
|
- type: map_at_1000 |
|
value: 68.705 |
|
- type: recall_at_1 |
|
value: 59.733000000000004 |
|
- type: recall_at_3 |
|
value: 70.61699999999999 |
|
- type: recall_at_5 |
|
value: 75.5 |
|
- type: recall_at_10 |
|
value: 85.51100000000001 |
|
- type: recall_at_20 |
|
value: 89.133 |
|
- type: recall_at_100 |
|
value: 95.5 |
|
- type: recall_at_1000 |
|
value: 100.0 |
|
- type: precision_at_1 |
|
value: 62.333000000000006 |
|
- type: precision_at_3 |
|
value: 25.667 |
|
- type: precision_at_5 |
|
value: 16.8 |
|
- type: precision_at_10 |
|
value: 9.633 |
|
- type: precision_at_20 |
|
value: 5.050000000000001 |
|
- type: precision_at_100 |
|
value: 1.083 |
|
- type: precision_at_1000 |
|
value: 0.11299999999999999 |
|
- type: mrr_at_1 |
|
value: 62.3333 |
|
- type: mrr_at_3 |
|
value: 67.11110000000001 |
|
- type: mrr_at_5 |
|
value: 68.0111 |
|
- type: mrr_at_10 |
|
value: 69.243 |
|
- type: mrr_at_20 |
|
value: 69.4702 |
|
- type: mrr_at_100 |
|
value: 69.6616 |
|
- type: mrr_at_1000 |
|
value: 69.68039999999999 |
|
- type: nauc_ndcg_at_1_max |
|
value: 54.49850000000001 |
|
- type: nauc_ndcg_at_1_std |
|
value: 7.1119 |
|
- type: nauc_ndcg_at_1_diff1 |
|
value: 66.1422 |
|
- type: nauc_ndcg_at_3_max |
|
value: 56.4064 |
|
- type: nauc_ndcg_at_3_std |
|
value: 5.8438 |
|
- type: nauc_ndcg_at_3_diff1 |
|
value: 63.8497 |
|
- type: nauc_ndcg_at_5_max |
|
value: 57.1304 |
|
- type: nauc_ndcg_at_5_std |
|
value: 7.220600000000001 |
|
- type: nauc_ndcg_at_5_diff1 |
|
value: 63.31250000000001 |
|
- type: nauc_ndcg_at_10_max |
|
value: 55.722300000000004 |
|
- type: nauc_ndcg_at_10_std |
|
value: 9.1649 |
|
- type: nauc_ndcg_at_10_diff1 |
|
value: 60.6626 |
|
- type: nauc_ndcg_at_20_max |
|
value: 55.945299999999996 |
|
- type: nauc_ndcg_at_20_std |
|
value: 9.843200000000001 |
|
- type: nauc_ndcg_at_20_diff1 |
|
value: 60.113099999999996 |
|
- type: nauc_ndcg_at_100_max |
|
value: 56.1434 |
|
- type: nauc_ndcg_at_100_std |
|
value: 10.8029 |
|
- type: nauc_ndcg_at_100_diff1 |
|
value: 60.854200000000006 |
|
- type: nauc_ndcg_at_1000_max |
|
value: 56.2423 |
|
- type: nauc_ndcg_at_1000_std |
|
value: 9.703000000000001 |
|
- type: nauc_ndcg_at_1000_diff1 |
|
value: 61.718799999999995 |
|
- type: nauc_map_at_1_max |
|
value: 50.9749 |
|
- type: nauc_map_at_1_std |
|
value: 3.6609999999999996 |
|
- type: nauc_map_at_1_diff1 |
|
value: 67.3719 |
|
- type: nauc_map_at_3_max |
|
value: 54.31009999999999 |
|
- type: nauc_map_at_3_std |
|
value: 4.3235 |
|
- type: nauc_map_at_3_diff1 |
|
value: 64.8984 |
|
- type: nauc_map_at_5_max |
|
value: 55.328599999999994 |
|
- type: nauc_map_at_5_std |
|
value: 5.959099999999999 |
|
- type: nauc_map_at_5_diff1 |
|
value: 64.0263 |
|
- type: nauc_map_at_10_max |
|
value: 55.1577 |
|
- type: nauc_map_at_10_std |
|
value: 7.147399999999999 |
|
- type: nauc_map_at_10_diff1 |
|
value: 62.943000000000005 |
|
- type: nauc_map_at_20_max |
|
value: 55.367900000000006 |
|
- type: nauc_map_at_20_std |
|
value: 7.5756000000000006 |
|
- type: nauc_map_at_20_diff1 |
|
value: 62.7916 |
|
- type: nauc_map_at_100_max |
|
value: 55.342499999999994 |
|
- type: nauc_map_at_100_std |
|
value: 7.648000000000001 |
|
- type: nauc_map_at_100_diff1 |
|
value: 62.899499999999996 |
|
- type: nauc_map_at_1000_max |
|
value: 55.3499 |
|
- type: nauc_map_at_1000_std |
|
value: 7.624499999999999 |
|
- type: nauc_map_at_1000_diff1 |
|
value: 62.930299999999995 |
|
- type: nauc_recall_at_1_max |
|
value: 50.9749 |
|
- type: nauc_recall_at_1_std |
|
value: 3.6609999999999996 |
|
- type: nauc_recall_at_1_diff1 |
|
value: 67.3719 |
|
- type: nauc_recall_at_3_max |
|
value: 56.184 |
|
- type: nauc_recall_at_3_std |
|
value: 1.8581 |
|
- type: nauc_recall_at_3_diff1 |
|
value: 63.3395 |
|
- type: nauc_recall_at_5_max |
|
value: 59.3021 |
|
- type: nauc_recall_at_5_std |
|
value: 6.4342 |
|
- type: nauc_recall_at_5_diff1 |
|
value: 61.8267 |
|
- type: nauc_recall_at_10_max |
|
value: 51.8488 |
|
- type: nauc_recall_at_10_std |
|
value: 13.397 |
|
- type: nauc_recall_at_10_diff1 |
|
value: 47.7098 |
|
- type: nauc_recall_at_20_max |
|
value: 51.607499999999995 |
|
- type: nauc_recall_at_20_std |
|
value: 17.8583 |
|
- type: nauc_recall_at_20_diff1 |
|
value: 40.2701 |
|
- type: nauc_recall_at_100_max |
|
value: 54.1844 |
|
- type: nauc_recall_at_100_std |
|
value: 53.411500000000004 |
|
- type: nauc_recall_at_100_diff1 |
|
value: 31.0043 |
|
- type: nauc_recall_at_1000_max |
|
value: .nan |
|
- type: nauc_recall_at_1000_std |
|
value: .nan |
|
- type: nauc_recall_at_1000_diff1 |
|
value: .nan |
|
- type: nauc_precision_at_1_max |
|
value: 54.49850000000001 |
|
- type: nauc_precision_at_1_std |
|
value: 7.1119 |
|
- type: nauc_precision_at_1_diff1 |
|
value: 66.1422 |
|
- type: nauc_precision_at_3_max |
|
value: 52.115 |
|
- type: nauc_precision_at_3_std |
|
value: 16.1809 |
|
- type: nauc_precision_at_3_diff1 |
|
value: 41.6736 |
|
- type: nauc_precision_at_5_max |
|
value: 46.3365 |
|
- type: nauc_precision_at_5_std |
|
value: 22.7022 |
|
- type: nauc_precision_at_5_diff1 |
|
value: 25.564500000000002 |
|
- type: nauc_precision_at_10_max |
|
value: 31.7504 |
|
- type: nauc_precision_at_10_std |
|
value: 31.063499999999998 |
|
- type: nauc_precision_at_10_diff1 |
|
value: 0.61 |
|
- type: nauc_precision_at_20_max |
|
value: 27.0162 |
|
- type: nauc_precision_at_20_std |
|
value: 35.5844 |
|
- type: nauc_precision_at_20_diff1 |
|
value: -8.559899999999999 |
|
- type: nauc_precision_at_100_max |
|
value: 17.9369 |
|
- type: nauc_precision_at_100_std |
|
value: 45.360299999999995 |
|
- type: nauc_precision_at_100_diff1 |
|
value: -21.3734 |
|
- type: nauc_precision_at_1000_max |
|
value: 9.6015 |
|
- type: nauc_precision_at_1000_std |
|
value: 41.6207 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: -31.4964 |
|
- type: nauc_mrr_at_1_max |
|
value: 54.49850000000001 |
|
- type: nauc_mrr_at_1_std |
|
value: 7.1119 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: 66.1422 |
|
- type: nauc_mrr_at_3_max |
|
value: 57.52589999999999 |
|
- type: nauc_mrr_at_3_std |
|
value: 8.605400000000001 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: 63.4207 |
|
- type: nauc_mrr_at_5_max |
|
value: 57.809900000000006 |
|
- type: nauc_mrr_at_5_std |
|
value: 9.2631 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 63.4016 |
|
- type: nauc_mrr_at_10_max |
|
value: 57.02199999999999 |
|
- type: nauc_mrr_at_10_std |
|
value: 9.542100000000001 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: 62.527 |
|
- type: nauc_mrr_at_20_max |
|
value: 56.942800000000005 |
|
- type: nauc_mrr_at_20_std |
|
value: 9.3838 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: 62.3991 |
|
- type: nauc_mrr_at_100_max |
|
value: 56.9337 |
|
- type: nauc_mrr_at_100_std |
|
value: 9.437800000000001 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: 62.5024 |
|
- type: nauc_mrr_at_1000_max |
|
value: 56.942899999999995 |
|
- type: nauc_mrr_at_1000_std |
|
value: 9.4167 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 62.5336 |
|
- type: main_score |
|
value: 72.63199999999999 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB SprintDuplicateQuestions (default) |
|
revision: d66bd1f72af766a5cc4b0ca5e00c162f89e8cc46 |
|
split: test |
|
type: mteb/sprintduplicatequestions-pairclassification |
|
metrics: |
|
- type: similarity_accuracy |
|
value: 99.8 |
|
- type: similarity_accuracy_threshold |
|
value: 79.6178 |
|
- type: similarity_f1 |
|
value: 89.6091 |
|
- type: similarity_f1_threshold |
|
value: 79.3926 |
|
- type: similarity_precision |
|
value: 92.26689999999999 |
|
- type: similarity_recall |
|
value: 87.1 |
|
- type: similarity_ap |
|
value: 95.45169999999999 |
|
- type: cosine_accuracy |
|
value: 99.8 |
|
- type: cosine_accuracy_threshold |
|
value: 79.6178 |
|
- type: cosine_f1 |
|
value: 89.6091 |
|
- type: cosine_f1_threshold |
|
value: 79.3926 |
|
- type: cosine_precision |
|
value: 92.26689999999999 |
|
- type: cosine_recall |
|
value: 87.1 |
|
- type: cosine_ap |
|
value: 95.45169999999999 |
|
- type: manhattan_accuracy |
|
value: 99.797 |
|
- type: manhattan_accuracy_threshold |
|
value: 23339.9902 |
|
- type: manhattan_f1 |
|
value: 89.45490000000001 |
|
- type: manhattan_f1_threshold |
|
value: 23640.0604 |
|
- type: manhattan_precision |
|
value: 91.1734 |
|
- type: manhattan_recall |
|
value: 87.8 |
|
- type: manhattan_ap |
|
value: 95.4832 |
|
- type: euclidean_accuracy |
|
value: 99.79599999999999 |
|
- type: euclidean_accuracy_threshold |
|
value: 1058.7936 |
|
- type: euclidean_f1 |
|
value: 89.35300000000001 |
|
- type: euclidean_f1_threshold |
|
value: 1085.26 |
|
- type: euclidean_precision |
|
value: 91.0696 |
|
- type: euclidean_recall |
|
value: 87.7 |
|
- type: euclidean_ap |
|
value: 95.4192 |
|
- type: dot_accuracy |
|
value: 99.79599999999999 |
|
- type: dot_accuracy_threshold |
|
value: 22447.8943 |
|
- type: dot_f1 |
|
value: 89.6311 |
|
- type: dot_f1_threshold |
|
value: 21928.1982 |
|
- type: dot_precision |
|
value: 89.3638 |
|
- type: dot_recall |
|
value: 89.9 |
|
- type: dot_ap |
|
value: 95.26599999999999 |
|
- type: max_accuracy |
|
value: 99.8 |
|
- type: max_f1 |
|
value: 89.6311 |
|
- type: max_precision |
|
value: 92.26689999999999 |
|
- type: max_recall |
|
value: 89.9 |
|
- type: max_ap |
|
value: 95.4832 |
|
- type: main_score |
|
value: 95.4832 |
|
task: |
|
type: PairClassification |
|
- dataset: |
|
config: default |
|
name: MTEB StackExchangeClustering (default) |
|
revision: 6cbc1f7b2bc0622f2e39d2c77fa502909748c259 |
|
split: test |
|
type: mteb/stackexchange-clustering |
|
metrics: |
|
- type: v_measure |
|
value: 66.8292 |
|
- type: v_measure_std |
|
value: 5.3023 |
|
- type: main_score |
|
value: 66.8292 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB StackExchangeClusteringP2P (default) |
|
revision: 815ca46b2622cec33ccafc3735d572c266efdb44 |
|
split: test |
|
type: mteb/stackexchange-clustering-p2p |
|
metrics: |
|
- type: v_measure |
|
value: 36.436800000000005 |
|
- type: v_measure_std |
|
value: 1.5622 |
|
- type: main_score |
|
value: 36.436800000000005 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB StackOverflowDupQuestions (default) |
|
revision: e185fbe320c72810689fc5848eb6114e1ef5ec69 |
|
split: test |
|
type: mteb/stackoverflowdupquestions-reranking |
|
metrics: |
|
- type: map |
|
value: 49.784299999999995 |
|
- type: mrr |
|
value: 50.539199999999994 |
|
- type: nAUC_map_max |
|
value: 12.292 |
|
- type: nAUC_map_std |
|
value: 8.071100000000001 |
|
- type: nAUC_map_diff1 |
|
value: 34.4928 |
|
- type: nAUC_mrr_max |
|
value: 12.445599999999999 |
|
- type: nAUC_mrr_std |
|
value: 8.607800000000001 |
|
- type: nAUC_mrr_diff1 |
|
value: 34.4987 |
|
- type: main_score |
|
value: 49.784299999999995 |
|
task: |
|
type: Reranking |
|
- dataset: |
|
config: default |
|
name: MTEB SummEval (default) |
|
revision: cda12ad7615edc362dbf25a00fdd61d3b1eaf93c |
|
split: test |
|
type: mteb/summeval |
|
metrics: |
|
- type: pearson |
|
value: 29.8823 |
|
- type: spearman |
|
value: 30.4476 |
|
- type: cosine_spearman |
|
value: 30.4476 |
|
- type: cosine_pearson |
|
value: 29.8823 |
|
- type: dot_spearman |
|
value: 29.773899999999998 |
|
- type: dot_pearson |
|
value: 30.2538 |
|
- type: main_score |
|
value: 30.4476 |
|
task: |
|
type: Summarization |
|
- dataset: |
|
config: default |
|
name: MTEB TRECCOVID (default) |
|
revision: bb9466bac8153a0349341eb1b22e06409e78ef4e |
|
split: test |
|
type: mteb/trec-covid |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 83.0 |
|
- type: ndcg_at_3 |
|
value: 79.061 |
|
- type: ndcg_at_5 |
|
value: 74.447 |
|
- type: ndcg_at_10 |
|
value: 74.005 |
|
- type: ndcg_at_20 |
|
value: 71.021 |
|
- type: ndcg_at_100 |
|
value: 56.159000000000006 |
|
- type: ndcg_at_1000 |
|
value: 52.105999999999995 |
|
- type: map_at_1 |
|
value: 0.243 |
|
- type: map_at_3 |
|
value: 0.642 |
|
- type: map_at_5 |
|
value: 0.996 |
|
- type: map_at_10 |
|
value: 1.847 |
|
- type: map_at_20 |
|
value: 3.3529999999999998 |
|
- type: map_at_100 |
|
value: 10.302999999999999 |
|
- type: map_at_1000 |
|
value: 25.903 |
|
- type: recall_at_1 |
|
value: 0.243 |
|
- type: recall_at_3 |
|
value: 0.668 |
|
- type: recall_at_5 |
|
value: 1.0630000000000002 |
|
- type: recall_at_10 |
|
value: 2.09 |
|
- type: recall_at_20 |
|
value: 3.92 |
|
- type: recall_at_100 |
|
value: 13.847999999999999 |
|
- type: recall_at_1000 |
|
value: 49.294 |
|
- type: precision_at_1 |
|
value: 88.0 |
|
- type: precision_at_3 |
|
value: 81.333 |
|
- type: precision_at_5 |
|
value: 76.4 |
|
- type: precision_at_10 |
|
value: 77.60000000000001 |
|
- type: precision_at_20 |
|
value: 74.0 |
|
- type: precision_at_100 |
|
value: 57.08 |
|
- type: precision_at_1000 |
|
value: 22.96 |
|
- type: mrr_at_1 |
|
value: 88.0 |
|
- type: mrr_at_3 |
|
value: 93.0 |
|
- type: mrr_at_5 |
|
value: 93.4 |
|
- type: mrr_at_10 |
|
value: 93.4 |
|
- type: mrr_at_20 |
|
value: 93.4 |
|
- type: mrr_at_100 |
|
value: 93.4 |
|
- type: mrr_at_1000 |
|
value: 93.4 |
|
- type: nauc_ndcg_at_1_max |
|
value: 61.9438 |
|
- type: nauc_ndcg_at_1_std |
|
value: 47.8895 |
|
- type: nauc_ndcg_at_1_diff1 |
|
value: -24.637500000000003 |
|
- type: nauc_ndcg_at_3_max |
|
value: 61.8429 |
|
- type: nauc_ndcg_at_3_std |
|
value: 54.91629999999999 |
|
- type: nauc_ndcg_at_3_diff1 |
|
value: -20.225099999999998 |
|
- type: nauc_ndcg_at_5_max |
|
value: 57.876099999999994 |
|
- type: nauc_ndcg_at_5_std |
|
value: 54.66760000000001 |
|
- type: nauc_ndcg_at_5_diff1 |
|
value: -16.5158 |
|
- type: nauc_ndcg_at_10_max |
|
value: 53.566599999999994 |
|
- type: nauc_ndcg_at_10_std |
|
value: 56.130199999999995 |
|
- type: nauc_ndcg_at_10_diff1 |
|
value: -10.4444 |
|
- type: nauc_ndcg_at_20_max |
|
value: 57.296499999999995 |
|
- type: nauc_ndcg_at_20_std |
|
value: 67.55250000000001 |
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- type: nauc_ndcg_at_20_diff1 |
|
value: -9.6015 |
|
- type: nauc_ndcg_at_100_max |
|
value: 55.960100000000004 |
|
- type: nauc_ndcg_at_100_std |
|
value: 79.8832 |
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- type: nauc_ndcg_at_100_diff1 |
|
value: -6.365800000000001 |
|
- type: nauc_ndcg_at_1000_max |
|
value: 59.79950000000001 |
|
- type: nauc_ndcg_at_1000_std |
|
value: 72.3925 |
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- type: nauc_ndcg_at_1000_diff1 |
|
value: -7.0761 |
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- type: nauc_map_at_1_max |
|
value: 6.4536999999999995 |
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- type: nauc_map_at_1_std |
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value: -7.8119 |
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value: -14.1175 |
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- type: nauc_map_at_3_max |
|
value: 16.98 |
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value: -0.3721 |
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value: -15.793 |
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- type: nauc_map_at_5_max |
|
value: 19.7658 |
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- type: nauc_map_at_5_std |
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value: 1.4654 |
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|
value: -17.1417 |
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- type: nauc_map_at_10_max |
|
value: 21.506700000000002 |
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- type: nauc_map_at_10_std |
|
value: 4.157 |
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|
value: -14.0577 |
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- type: nauc_map_at_20_max |
|
value: 23.8734 |
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- type: nauc_map_at_20_std |
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value: 11.5207 |
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|
value: -10.5616 |
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|
value: 46.692299999999996 |
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- type: nauc_map_at_100_std |
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value: -8.8046 |
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value: 6.4536999999999995 |
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- type: nauc_recall_at_1_std |
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value: -7.8119 |
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- type: nauc_recall_at_1_diff1 |
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value: -14.1175 |
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- type: nauc_recall_at_3_max |
|
value: 13.3248 |
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- type: nauc_recall_at_3_std |
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value: -3.4745999999999997 |
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- type: nauc_recall_at_3_diff1 |
|
value: -16.9974 |
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- type: nauc_recall_at_5_max |
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value: 14.6892 |
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- type: nauc_recall_at_5_std |
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value: -2.0025999999999997 |
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- type: nauc_recall_at_5_diff1 |
|
value: -17.7484 |
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- type: nauc_recall_at_10_max |
|
value: 12.6493 |
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- type: nauc_recall_at_10_std |
|
value: -3.3624 |
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- type: nauc_recall_at_10_diff1 |
|
value: -14.665700000000001 |
|
- type: nauc_recall_at_20_max |
|
value: 12.4179 |
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- type: nauc_recall_at_20_std |
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value: 2.6304000000000003 |
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- type: nauc_recall_at_20_diff1 |
|
value: -12.0324 |
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- type: nauc_recall_at_100_max |
|
value: 33.699 |
|
- type: nauc_recall_at_100_std |
|
value: 41.4814 |
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- type: nauc_recall_at_100_diff1 |
|
value: -13.805799999999998 |
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- type: nauc_recall_at_1000_max |
|
value: 54.8094 |
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- type: nauc_recall_at_1000_std |
|
value: 59.785999999999994 |
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- type: nauc_recall_at_1000_diff1 |
|
value: -2.278 |
|
- type: nauc_precision_at_1_max |
|
value: 83.2167 |
|
- type: nauc_precision_at_1_std |
|
value: 71.8899 |
|
- type: nauc_precision_at_1_diff1 |
|
value: -18.970699999999997 |
|
- type: nauc_precision_at_3_max |
|
value: 70.7754 |
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- type: nauc_precision_at_3_std |
|
value: 60.5541 |
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- type: nauc_precision_at_3_diff1 |
|
value: -16.8234 |
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- type: nauc_precision_at_5_max |
|
value: 64.384 |
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- type: nauc_precision_at_5_std |
|
value: 54.879999999999995 |
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|
value: -12.8109 |
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value: 60.5951 |
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value: 57.330000000000005 |
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|
value: -4.029400000000001 |
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|
value: 61.1634 |
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- type: nauc_precision_at_20_std |
|
value: 69.7819 |
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- type: nauc_precision_at_20_diff1 |
|
value: -6.2779 |
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|
value: 57.814600000000006 |
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- type: nauc_precision_at_100_std |
|
value: 82.3314 |
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- type: nauc_precision_at_100_diff1 |
|
value: 1.2801 |
|
- type: nauc_precision_at_1000_max |
|
value: 48.0584 |
|
- type: nauc_precision_at_1000_std |
|
value: 54.331799999999994 |
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- type: nauc_precision_at_1000_diff1 |
|
value: 9.286800000000001 |
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- type: nauc_mrr_at_1_max |
|
value: 83.2167 |
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- type: nauc_mrr_at_1_std |
|
value: 71.8899 |
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|
value: -18.970699999999997 |
|
- type: nauc_mrr_at_3_max |
|
value: 85.6599 |
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- type: nauc_mrr_at_3_std |
|
value: 75.9821 |
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- type: nauc_mrr_at_3_diff1 |
|
value: -41.5387 |
|
- type: nauc_mrr_at_5_max |
|
value: 84.77329999999999 |
|
- type: nauc_mrr_at_5_std |
|
value: 74.497 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: -33.3487 |
|
- type: nauc_mrr_at_10_max |
|
value: 84.77329999999999 |
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- type: nauc_mrr_at_10_std |
|
value: 74.497 |
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- type: nauc_mrr_at_10_diff1 |
|
value: -33.3487 |
|
- type: nauc_mrr_at_20_max |
|
value: 84.77329999999999 |
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- type: nauc_mrr_at_20_std |
|
value: 74.497 |
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|
value: -33.3487 |
|
- type: nauc_mrr_at_100_max |
|
value: 84.77329999999999 |
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- type: nauc_mrr_at_100_std |
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value: 74.497 |
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|
value: -33.3487 |
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- type: nauc_mrr_at_1000_max |
|
value: 84.77329999999999 |
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- type: nauc_mrr_at_1000_std |
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value: 74.497 |
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|
value: -33.3487 |
|
- type: main_score |
|
value: 74.005 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB Touche2020 (default) |
|
revision: a34f9a33db75fa0cbb21bb5cfc3dae8dc8bec93f |
|
split: test |
|
type: mteb/touche2020 |
|
metrics: |
|
- type: ndcg_at_1 |
|
value: 25.509999999999998 |
|
- type: ndcg_at_3 |
|
value: 25.356 |
|
- type: ndcg_at_5 |
|
value: 25.718999999999998 |
|
- type: ndcg_at_10 |
|
value: 23.777 |
|
- type: ndcg_at_20 |
|
value: 25.631999999999998 |
|
- type: ndcg_at_100 |
|
value: 35.294 |
|
- type: ndcg_at_1000 |
|
value: 46.904 |
|
- type: map_at_1 |
|
value: 2.174 |
|
- type: map_at_3 |
|
value: 4.698 |
|
- type: map_at_5 |
|
value: 6.511 |
|
- type: map_at_10 |
|
value: 9.075 |
|
- type: map_at_20 |
|
value: 11.89 |
|
- type: map_at_100 |
|
value: 15.042 |
|
- type: map_at_1000 |
|
value: 16.527 |
|
- type: recall_at_1 |
|
value: 2.174 |
|
- type: recall_at_3 |
|
value: 6.067 |
|
- type: recall_at_5 |
|
value: 9.985 |
|
- type: recall_at_10 |
|
value: 15.595 |
|
- type: recall_at_20 |
|
value: 24.709 |
|
- type: recall_at_100 |
|
value: 46.075 |
|
- type: recall_at_1000 |
|
value: 81.211 |
|
- type: precision_at_1 |
|
value: 28.571 |
|
- type: precision_at_3 |
|
value: 27.211000000000002 |
|
- type: precision_at_5 |
|
value: 27.346999999999998 |
|
- type: precision_at_10 |
|
value: 21.633 |
|
- type: precision_at_20 |
|
value: 17.347 |
|
- type: precision_at_100 |
|
value: 7.306 |
|
- type: precision_at_1000 |
|
value: 1.498 |
|
- type: mrr_at_1 |
|
value: 28.571400000000004 |
|
- type: mrr_at_3 |
|
value: 40.8163 |
|
- type: mrr_at_5 |
|
value: 44.5918 |
|
- type: mrr_at_10 |
|
value: 45.806599999999996 |
|
- type: mrr_at_20 |
|
value: 46.6323 |
|
- type: mrr_at_100 |
|
value: 46.898 |
|
- type: mrr_at_1000 |
|
value: 46.898 |
|
- type: nauc_ndcg_at_1_max |
|
value: -38.9044 |
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value: -13.3682 |
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|
value: 14.1403 |
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|
value: -31.8112 |
|
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|
value: 18.3462 |
|
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|
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|
value: 0.3613 |
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|
value: 7.4144000000000005 |
|
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|
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|
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|
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|
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value: -30.505900000000004 |
|
- type: nauc_precision_at_3_std |
|
value: -6.6981 |
|
- type: nauc_precision_at_3_diff1 |
|
value: 22.1572 |
|
- type: nauc_precision_at_5_max |
|
value: -26.9752 |
|
- type: nauc_precision_at_5_std |
|
value: 9.2292 |
|
- type: nauc_precision_at_5_diff1 |
|
value: 6.7962 |
|
- type: nauc_precision_at_10_max |
|
value: -29.9346 |
|
- type: nauc_precision_at_10_std |
|
value: 13.3568 |
|
- type: nauc_precision_at_10_diff1 |
|
value: 6.8902 |
|
- type: nauc_precision_at_20_max |
|
value: -22.7968 |
|
- type: nauc_precision_at_20_std |
|
value: 21.0382 |
|
- type: nauc_precision_at_20_diff1 |
|
value: 9.033199999999999 |
|
- type: nauc_precision_at_100_max |
|
value: -11.4519 |
|
- type: nauc_precision_at_100_std |
|
value: 72.8881 |
|
- type: nauc_precision_at_100_diff1 |
|
value: -8.261000000000001 |
|
- type: nauc_precision_at_1000_max |
|
value: 29.3926 |
|
- type: nauc_precision_at_1000_std |
|
value: 44.936 |
|
- type: nauc_precision_at_1000_diff1 |
|
value: -15.2011 |
|
- type: nauc_mrr_at_1_max |
|
value: -37.808 |
|
- type: nauc_mrr_at_1_std |
|
value: -10.7692 |
|
- type: nauc_mrr_at_1_diff1 |
|
value: 18.6307 |
|
- type: nauc_mrr_at_3_max |
|
value: -36.6424 |
|
- type: nauc_mrr_at_3_std |
|
value: -5.8629 |
|
- type: nauc_mrr_at_3_diff1 |
|
value: 10.0726 |
|
- type: nauc_mrr_at_5_max |
|
value: -35.132400000000004 |
|
- type: nauc_mrr_at_5_std |
|
value: -2.6545 |
|
- type: nauc_mrr_at_5_diff1 |
|
value: 8.2052 |
|
- type: nauc_mrr_at_10_max |
|
value: -37.947199999999995 |
|
- type: nauc_mrr_at_10_std |
|
value: -3.6131 |
|
- type: nauc_mrr_at_10_diff1 |
|
value: 8.5589 |
|
- type: nauc_mrr_at_20_max |
|
value: -37.490899999999996 |
|
- type: nauc_mrr_at_20_std |
|
value: -5.375 |
|
- type: nauc_mrr_at_20_diff1 |
|
value: 9.9839 |
|
- type: nauc_mrr_at_100_max |
|
value: -36.8829 |
|
- type: nauc_mrr_at_100_std |
|
value: -5.148 |
|
- type: nauc_mrr_at_100_diff1 |
|
value: 9.775300000000001 |
|
- type: nauc_mrr_at_1000_max |
|
value: -36.8829 |
|
- type: nauc_mrr_at_1000_std |
|
value: -5.148 |
|
- type: nauc_mrr_at_1000_diff1 |
|
value: 9.775300000000001 |
|
- type: main_score |
|
value: 23.777 |
|
task: |
|
type: Retrieval |
|
- dataset: |
|
config: default |
|
name: MTEB ToxicConversationsClassification (default) |
|
revision: edfaf9da55d3dd50d43143d90c1ac476895ae6de |
|
split: test |
|
type: mteb/toxic_conversations_50k |
|
metrics: |
|
- type: accuracy |
|
value: 78.2227 |
|
- type: f1 |
|
value: 60.9422 |
|
- type: f1_weighted |
|
value: 82.7019 |
|
- type: ap |
|
value: 19.0562 |
|
- type: ap_weighted |
|
value: 19.0562 |
|
- type: main_score |
|
value: 78.2227 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB TweetSentimentExtractionClassification (default) |
|
revision: d604517c81ca91fe16a244d1248fc021f9ecee7a |
|
split: test |
|
type: mteb/tweet_sentiment_extraction |
|
metrics: |
|
- type: accuracy |
|
value: 61.3865 |
|
- type: f1 |
|
value: 61.805299999999995 |
|
- type: f1_weighted |
|
value: 60.8858 |
|
- type: main_score |
|
value: 61.3865 |
|
task: |
|
type: Classification |
|
- dataset: |
|
config: default |
|
name: MTEB TwentyNewsgroupsClustering (default) |
|
revision: 6125ec4e24fa026cec8a478383ee943acfbd5449 |
|
split: test |
|
type: mteb/twentynewsgroups-clustering |
|
metrics: |
|
- type: v_measure |
|
value: 49.1222 |
|
- type: v_measure_std |
|
value: 1.01 |
|
- type: main_score |
|
value: 49.1222 |
|
task: |
|
type: Clustering |
|
- dataset: |
|
config: default |
|
name: MTEB TwitterSemEval2015 (default) |
|
revision: 70970daeab8776df92f5ea462b6173c0b46fd2d1 |
|
split: test |
|
type: mteb/twittersemeval2015-pairclassification |
|
metrics: |
|
- type: similarity_accuracy |
|
value: 85.96289999999999 |
|
- type: similarity_accuracy_threshold |
|
value: 81.7526 |
|
- type: similarity_f1 |
|
value: 67.0984 |
|
- type: similarity_f1_threshold |
|
value: 78.1167 |
|
- type: similarity_precision |
|
value: 64.6756 |
|
- type: similarity_recall |
|
value: 69.7098 |
|
- type: similarity_ap |
|
value: 73.40769999999999 |
|
- type: cosine_accuracy |
|
value: 85.96289999999999 |
|
- type: cosine_accuracy_threshold |
|
value: 81.7526 |
|
- type: cosine_f1 |
|
value: 67.0984 |
|
- type: cosine_f1_threshold |
|
value: 78.1167 |
|
- type: cosine_precision |
|
value: 64.6756 |
|
- type: cosine_recall |
|
value: 69.7098 |
|
- type: cosine_ap |
|
value: 73.40769999999999 |
|
- type: manhattan_accuracy |
|
value: 85.8735 |
|
- type: manhattan_accuracy_threshold |
|
value: 22624.693300000003 |
|
- type: manhattan_f1 |
|
value: 67.13 |
|
- type: manhattan_f1_threshold |
|
value: 24148.2193 |
|
- type: manhattan_precision |
|
value: 65.52759999999999 |
|
- type: manhattan_recall |
|
value: 68.8127 |
|
- type: manhattan_ap |
|
value: 73.4081 |
|
- type: euclidean_accuracy |
|
value: 85.9391 |
|
- type: euclidean_accuracy_threshold |
|
value: 1019.5558 |
|
- type: euclidean_f1 |
|
value: 67.0856 |
|
- type: euclidean_f1_threshold |
|
value: 1125.2108 |
|
- type: euclidean_precision |
|
value: 64.0509 |
|
- type: euclidean_recall |
|
value: 70.4222 |
|
- type: euclidean_ap |
|
value: 73.38289999999999 |
|
- type: dot_accuracy |
|
value: 85.3013 |
|
- type: dot_accuracy_threshold |
|
value: 23728.8651 |
|
- type: dot_f1 |
|
value: 65.8888 |
|
- type: dot_f1_threshold |
|
value: 22264.9994 |
|
- type: dot_precision |
|
value: 62.2128 |
|
- type: dot_recall |
|
value: 70.0264 |
|
- type: dot_ap |
|
value: 71.5369 |
|
- type: max_accuracy |
|
value: 85.96289999999999 |
|
- type: max_f1 |
|
value: 67.13 |
|
- type: max_precision |
|
value: 65.52759999999999 |
|
- type: max_recall |
|
value: 70.4222 |
|
- type: max_ap |
|
value: 73.4081 |
|
- type: main_score |
|
value: 73.4081 |
|
task: |
|
type: PairClassification |
|
- dataset: |
|
config: default |
|
name: MTEB TwitterURLCorpus (default) |
|
revision: 8b6510b0b1fa4e4c4f879467980e9be563ec1cdf |
|
split: test |
|
type: mteb/twitterurlcorpus-pairclassification |
|
metrics: |
|
- type: similarity_accuracy |
|
value: 88.81710000000001 |
|
- type: similarity_accuracy_threshold |
|
value: 75.9413 |
|
- type: similarity_f1 |
|
value: 77.74560000000001 |
|
- type: similarity_f1_threshold |
|
value: 72.7591 |
|
- type: similarity_precision |
|
value: 74.17660000000001 |
|
- type: similarity_recall |
|
value: 81.6754 |
|
- type: similarity_ap |
|
value: 85.43230000000001 |
|
- type: cosine_accuracy |
|
value: 88.81710000000001 |
|
- type: cosine_accuracy_threshold |
|
value: 75.9413 |
|
- type: cosine_f1 |
|
value: 77.74560000000001 |
|
- type: cosine_f1_threshold |
|
value: 72.7591 |
|
- type: cosine_precision |
|
value: 74.17660000000001 |
|
- type: cosine_recall |
|
value: 81.6754 |
|
- type: cosine_ap |
|
value: 85.43230000000001 |
|
- type: manhattan_accuracy |
|
value: 88.7802 |
|
- type: manhattan_accuracy_threshold |
|
value: 25609.9884 |
|
- type: manhattan_f1 |
|
value: 77.5999 |
|
- type: manhattan_f1_threshold |
|
value: 26501.702899999997 |
|
- type: manhattan_precision |
|
value: 76.145 |
|
- type: manhattan_recall |
|
value: 79.1115 |
|
- type: manhattan_ap |
|
value: 85.34779999999999 |
|
- type: euclidean_accuracy |
|
value: 88.76859999999999 |
|
- type: euclidean_accuracy_threshold |
|
value: 1181.6877 |
|
- type: euclidean_f1 |
|
value: 77.6417 |
|
- type: euclidean_f1_threshold |
|
value: 1224.3926999999999 |
|
- type: euclidean_precision |
|
value: 75.6 |
|
- type: euclidean_recall |
|
value: 79.7967 |
|
- type: euclidean_ap |
|
value: 85.3782 |
|
- type: dot_accuracy |
|
value: 88.5726 |
|
- type: dot_accuracy_threshold |
|
value: 21390.567 |
|
- type: dot_f1 |
|
value: 77.4881 |
|
- type: dot_f1_threshold |
|
value: 20787.2925 |
|
- type: dot_precision |
|
value: 75.0505 |
|
- type: dot_recall |
|
value: 80.0893 |
|
- type: dot_ap |
|
value: 84.8854 |
|
- type: max_accuracy |
|
value: 88.81710000000001 |
|
- type: max_f1 |
|
value: 77.74560000000001 |
|
- type: max_precision |
|
value: 76.145 |
|
- type: max_recall |
|
value: 81.6754 |
|
- type: max_ap |
|
value: 85.43230000000001 |
|
- type: main_score |
|
value: 85.43230000000001 |
|
task: |
|
type: PairClassification |
|
tags: |
|
- mteb |
|
--- |
|
|
