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README.md
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language: []
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library_name: sentence-transformers
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tags:
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- sentence-transformers
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- sentence-similarity
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- feature-extraction
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- dataset_size:100K<n<1M
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- loss:AnglELoss
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base_model: sentence-transformers/paraphrase-multilingual-mpnet-base-v2
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metrics:
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- pearson_cosine
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- spearman_cosine
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- pearson_manhattan
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- spearman_manhattan
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- pearson_euclidean
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- spearman_euclidean
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- pearson_dot
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- spearman_dot
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- pearson_max
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- spearman_max
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widget:
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- source_sentence: 有些人在路上溜达。
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sentences:
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- En jente børster håret sitt
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- אדם מחלק תפוח אדמה.
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pipeline_tag: sentence-similarity
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model-index:
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- name: SentenceTransformer based on sentence-transformers/paraphrase-multilingual-mpnet-base-v2
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results:
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- task:
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type: semantic-similarity
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name: Semantic Similarity
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dataset:
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name: sts dev
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type: sts-dev
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metrics:
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-
- type: pearson_cosine
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-
value: 0.9551466915019567
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61 |
-
name: Pearson Cosine
|
62 |
-
- type: spearman_cosine
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-
value: 0.9592676437617756
|
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name: Spearman Cosine
|
65 |
-
- type: pearson_manhattan
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-
value: 0.9270103565661432
|
67 |
-
name: Pearson Manhattan
|
68 |
-
- type: spearman_manhattan
|
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-
value: 0.9382925369644322
|
70 |
-
name: Spearman Manhattan
|
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-
- type: pearson_euclidean
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-
value: 0.9278315400036575
|
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-
name: Pearson Euclidean
|
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- type: spearman_euclidean
|
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-
value: 0.9393641949848517
|
76 |
-
name: Spearman Euclidean
|
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- type: pearson_dot
|
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-
value: 0.8760113280718741
|
79 |
-
name: Pearson Dot
|
80 |
-
- type: spearman_dot
|
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-
value: 0.8864509380027734
|
82 |
-
name: Spearman Dot
|
83 |
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- type: pearson_max
|
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-
value: 0.9551466915019567
|
85 |
-
name: Pearson Max
|
86 |
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- type: spearman_max
|
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-
value: 0.9592676437617756
|
88 |
-
name: Spearman Max
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-
- task:
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-
type: semantic-similarity
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name: Semantic Similarity
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dataset:
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name: sts test
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type: sts-test
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metrics:
|
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-
- type: pearson_cosine
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97 |
-
value: 0.9479585032380113
|
98 |
-
name: Pearson Cosine
|
99 |
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- type: spearman_cosine
|
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-
value: 0.9514910354916427
|
101 |
-
name: Spearman Cosine
|
102 |
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- type: pearson_manhattan
|
103 |
-
value: 0.925192141913064
|
104 |
-
name: Pearson Manhattan
|
105 |
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- type: spearman_manhattan
|
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-
value: 0.9351648026362221
|
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-
name: Spearman Manhattan
|
108 |
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- type: pearson_euclidean
|
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-
value: 0.9258239806908134
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110 |
-
name: Pearson Euclidean
|
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- type: spearman_euclidean
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value: 0.9363652577900217
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name: Spearman Euclidean
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- type: pearson_dot
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-
value: 0.8442947652156254
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name: Pearson Dot
|
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- type: spearman_dot
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value: 0.8435104766124126
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name: Spearman Dot
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- type: pearson_max
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value: 0.9479585032380113
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name: Pearson Max
|
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- type: spearman_max
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value: 0.9514910354916427
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name: Spearman Max
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- type: pearson_cosine
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-
value: 0.9725274765440489
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name: Pearson Cosine
|
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- type: spearman_cosine
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value: 0.9766335692570665
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name: Spearman Cosine
|
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- type: pearson_manhattan
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value: 0.9382317294386867
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name: Pearson Manhattan
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- type: spearman_manhattan
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value: 0.948654920505423
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name: Spearman Manhattan
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- type: pearson_euclidean
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value: 0.9392057529290415
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name: Pearson Euclidean
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- type: spearman_euclidean
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value: 0.9500099103637895
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name: Spearman Euclidean
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- type: pearson_dot
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value: 0.8531236460319379
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name: Pearson Dot
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- type: spearman_dot
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value: 0.8611492409185547
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name: Spearman Dot
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- type: pearson_max
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value: 0.9725274765440489
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name: Pearson Max
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- type: spearman_max
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value: 0.9766335692570665
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name: Spearman Max
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- type: pearson_cosine
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value: 0.8026922386812214
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name: Pearson Cosine
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- type: spearman_cosine
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value: 0.8124393788492182
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name: Spearman Cosine
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- type: pearson_manhattan
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value: 0.7839394479918361
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name: Pearson Manhattan
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- type: spearman_manhattan
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value: 0.7899571854314883
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name: Spearman Manhattan
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- type: pearson_euclidean
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value: 0.7835912695413444
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name: Pearson Euclidean
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- type: spearman_euclidean
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value: 0.7920219916708612
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name: Spearman Euclidean
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- type: pearson_dot
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value: 0.7698701769634279
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name: Pearson Dot
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- type: spearman_dot
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value: 0.781996122357711
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name: Spearman Dot
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- type: pearson_max
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value: 0.8026922386812214
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name: Pearson Max
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- type: spearman_max
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value: 0.8124393788492182
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name: Spearman Max
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value: 0.7795928581740468
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name: Pearson Cosine
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- type: spearman_cosine
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name: Spearman Cosine
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- type: pearson_manhattan
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value: 0.7903764226370217
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value: 0.7077312955932407
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445 |
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value: 0.891219202934611
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value: 0.8987764114969254
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450 |
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value: 0.9133091498737149
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value: 0.9114826394926738
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value: 0.8451542547285167
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value: 0.8451542547285167
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467 |
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468 |
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469 |
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value: 0.8809190484217423
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value: 0.8451542547285167
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value: 0.8451542547285167
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480 |
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484 |
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value: 0.8451542547285167
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486 |
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488 |
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value: 0.6385354535483773
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value: 0.6429493098908716
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value: 0.6473666993823523
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value: 0.6444758519763731
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value: 0.6128358976757747
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value: 0.6108258021881942
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value: 0.6473666993823523
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516 |
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value: 0.7339108684091178
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value: 0.7367402927783612
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527 |
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name: Spearman Manhattan
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528 |
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- type: pearson_euclidean
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529 |
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value: 0.7336764576613932
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value: 0.734241088471987
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value: 0.6886320720189693
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value: 0.698561864698337
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value: 0.7518021273920814
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546 |
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value: 0.5399866615749636
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value: 0.5955360076924765
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value: 0.5657998544710718
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579 |
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value: 0.7789392103102715
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587 |
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name: Spearman Manhattan
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588 |
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- type: pearson_euclidean
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value: 0.7437054735775576
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590 |
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- type: spearman_euclidean
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value: 0.780583955651507
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593 |
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value: 0.7214423493083364
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603 |
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value: 0.7875616631597785
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name: Spearman Max
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606 |
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612 |
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613 |
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614 |
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615 |
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616 |
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value: 0.5599676717727231
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617 |
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618 |
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- type: pearson_euclidean
|
619 |
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value: 0.42192411421528214
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620 |
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621 |
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- type: spearman_euclidean
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622 |
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value: 0.5665444422359257
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623 |
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value: 0.49809047501575476
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626 |
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627 |
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value: 0.5367148143234142
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629 |
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630 |
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633 |
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value: 0.5774252131250034
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636 |
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637 |
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638 |
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639 |
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640 |
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value: 0.6383757017928495
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641 |
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name: Spearman Cosine
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642 |
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value: 0.603366556372183
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644 |
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name: Pearson Manhattan
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645 |
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|
646 |
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value: 0.6167955278711116
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647 |
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name: Spearman Manhattan
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648 |
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- type: pearson_euclidean
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649 |
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value: 0.6081018686388112
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650 |
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651 |
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- type: spearman_euclidean
|
652 |
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value: 0.6219639110001453
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653 |
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655 |
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value: 0.5767081284665276
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656 |
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657 |
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value: 0.5831358067917275
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659 |
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660 |
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662 |
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name: Pearson Max
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663 |
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value: 0.6383757017928495
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665 |
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name: Spearman Max
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666 |
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668 |
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669 |
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670 |
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value: 0.5866853707548388
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name: Spearman Cosine
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672 |
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value: 0.49244450938868833
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name: Pearson Manhattan
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675 |
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value: 0.5737511662255662
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677 |
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name: Spearman Manhattan
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678 |
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- type: pearson_euclidean
|
679 |
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value: 0.49058760093828624
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680 |
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681 |
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- type: spearman_euclidean
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682 |
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value: 0.5762095703672849
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683 |
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684 |
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685 |
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value: 0.4306984514506903
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686 |
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name: Pearson Dot
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687 |
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value: 0.5470683854030187
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689 |
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name: Spearman Dot
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690 |
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value: 0.5568482062575557
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name: Pearson Max
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693 |
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value: 0.5866853707548388
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695 |
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name: Spearman Max
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696 |
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697 |
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value: 0.5776222742798018
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698 |
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name: Pearson Cosine
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699 |
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value: 0.5749790581441845
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701 |
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name: Spearman Cosine
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702 |
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703 |
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value: 0.571787148920759
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704 |
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name: Pearson Manhattan
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705 |
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|
706 |
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value: 0.5500811027014174
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707 |
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name: Spearman Manhattan
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708 |
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- type: pearson_euclidean
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709 |
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value: 0.5695499775959532
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710 |
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711 |
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- type: spearman_euclidean
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712 |
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value: 0.5532223379017994
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713 |
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715 |
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value: 0.53146407233978
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716 |
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name: Pearson Dot
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717 |
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718 |
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value: 0.5190797374963447
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719 |
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name: Spearman Dot
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720 |
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value: 0.5776222742798018
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722 |
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name: Pearson Max
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723 |
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724 |
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value: 0.5749790581441845
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725 |
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name: Spearman Max
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726 |
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727 |
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value: 0.3571900232473057
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728 |
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name: Pearson Cosine
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729 |
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730 |
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value: 0.4335552432730643
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731 |
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name: Spearman Cosine
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732 |
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733 |
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value: 0.20808854264339055
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734 |
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name: Pearson Manhattan
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735 |
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|
736 |
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value: 0.4354537154533896
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737 |
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name: Spearman Manhattan
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738 |
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- type: pearson_euclidean
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739 |
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value: 0.208616390027902
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740 |
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742 |
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743 |
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744 |
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value: 0.22336496195751424
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746 |
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value: 0.3706905558756734
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749 |
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value: 0.3571900232473057
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752 |
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name: Pearson Max
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753 |
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754 |
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value: 0.440246452767669
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755 |
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name: Spearman Max
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756 |
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757 |
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value: 0.6863427356006826
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758 |
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name: Pearson Cosine
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759 |
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760 |
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value: 0.6620948502618977
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761 |
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name: Spearman Cosine
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762 |
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763 |
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value: 0.6428578762643233
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764 |
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765 |
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|
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value: 0.6483663123081533
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767 |
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name: Spearman Manhattan
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768 |
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|
769 |
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value: 0.6424050032110411
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770 |
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771 |
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772 |
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773 |
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775 |
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value: 0.6352371374824808
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776 |
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value: 0.6159110999161411
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779 |
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name: Spearman Dot
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780 |
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value: 0.6863427356006826
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782 |
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name: Pearson Max
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783 |
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value: 0.6620948502618977
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785 |
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name: Spearman Max
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786 |
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788 |
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794 |
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797 |
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798 |
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799 |
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value: 0.7204228437397647
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800 |
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802 |
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803 |
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804 |
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805 |
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value: 0.7144336778935939
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806 |
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807 |
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value: 0.7284199759984302
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809 |
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810 |
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812 |
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813 |
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814 |
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value: 0.7510805416538202
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815 |
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name: Spearman Max
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816 |
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818 |
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820 |
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821 |
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824 |
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827 |
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828 |
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829 |
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830 |
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832 |
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833 |
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835 |
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value: 0.5646710115576599
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836 |
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838 |
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value: 0.570198719868156
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839 |
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name: Spearman Dot
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840 |
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value: 0.6516956762905051
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842 |
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name: Pearson Max
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843 |
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844 |
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value: 0.6667221229271868
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845 |
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name: Spearman Max
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847 |
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848 |
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name: Pearson Cosine
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851 |
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name: Spearman Cosine
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853 |
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value: 0.6824702119604247
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854 |
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name: Pearson Manhattan
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855 |
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856 |
-
value: 0.6324707043840341
|
857 |
-
name: Spearman Manhattan
|
858 |
-
- type: pearson_euclidean
|
859 |
-
value: 0.6905615468119815
|
860 |
-
name: Pearson Euclidean
|
861 |
-
- type: spearman_euclidean
|
862 |
-
value: 0.640725065351179
|
863 |
-
name: Spearman Euclidean
|
864 |
-
- type: pearson_dot
|
865 |
-
value: 0.5834798827905125
|
866 |
-
name: Pearson Dot
|
867 |
-
- type: spearman_dot
|
868 |
-
value: 0.5962447037764929
|
869 |
-
name: Spearman Dot
|
870 |
-
- type: pearson_max
|
871 |
-
value: 0.6905615468119815
|
872 |
-
name: Pearson Max
|
873 |
-
- type: spearman_max
|
874 |
-
value: 0.6537294853166558
|
875 |
-
name: Spearman Max
|
876 |
-
- type: pearson_cosine
|
877 |
-
value: 0.6709478850576526
|
878 |
-
name: Pearson Cosine
|
879 |
-
- type: spearman_cosine
|
880 |
-
value: 0.6847049462613332
|
881 |
-
name: Spearman Cosine
|
882 |
-
- type: pearson_manhattan
|
883 |
-
value: 0.6612883666796053
|
884 |
-
name: Pearson Manhattan
|
885 |
-
- type: spearman_manhattan
|
886 |
-
value: 0.6906896123993531
|
887 |
-
name: Spearman Manhattan
|
888 |
-
- type: pearson_euclidean
|
889 |
-
value: 0.66070522554664
|
890 |
-
name: Pearson Euclidean
|
891 |
-
- type: spearman_euclidean
|
892 |
-
value: 0.6880796473119815
|
893 |
-
name: Spearman Euclidean
|
894 |
-
- type: pearson_dot
|
895 |
-
value: 0.609762034287328
|
896 |
-
name: Pearson Dot
|
897 |
-
- type: spearman_dot
|
898 |
-
value: 0.6194587632000961
|
899 |
-
name: Spearman Dot
|
900 |
-
- type: pearson_max
|
901 |
-
value: 0.6709478850576526
|
902 |
-
name: Pearson Max
|
903 |
-
- type: spearman_max
|
904 |
-
value: 0.6906896123993531
|
905 |
-
name: Spearman Max
|
906 |
-
- type: pearson_cosine
|
907 |
-
value: 0.5977420246846783
|
908 |
-
name: Pearson Cosine
|
909 |
-
- type: spearman_cosine
|
910 |
-
value: 0.5798716781400349
|
911 |
-
name: Spearman Cosine
|
912 |
-
- type: pearson_manhattan
|
913 |
-
value: 0.5974348978243684
|
914 |
-
name: Pearson Manhattan
|
915 |
-
- type: spearman_manhattan
|
916 |
-
value: 0.5952597125560467
|
917 |
-
name: Spearman Manhattan
|
918 |
-
- type: pearson_euclidean
|
919 |
-
value: 0.5949256850264925
|
920 |
-
name: Pearson Euclidean
|
921 |
-
- type: spearman_euclidean
|
922 |
-
value: 0.5935900431326085
|
923 |
-
name: Spearman Euclidean
|
924 |
-
- type: pearson_dot
|
925 |
-
value: 0.5042542872226021
|
926 |
-
name: Pearson Dot
|
927 |
-
- type: spearman_dot
|
928 |
-
value: 0.4968394689744579
|
929 |
-
name: Spearman Dot
|
930 |
-
- type: pearson_max
|
931 |
-
value: 0.5977420246846783
|
932 |
-
name: Pearson Max
|
933 |
-
- type: spearman_max
|
934 |
-
value: 0.5952597125560467
|
935 |
-
name: Spearman Max
|
936 |
-
- type: pearson_cosine
|
937 |
-
value: 0.45623521030042163
|
938 |
-
name: Pearson Cosine
|
939 |
-
- type: spearman_cosine
|
940 |
-
value: 0.44220332625465214
|
941 |
-
name: Spearman Cosine
|
942 |
-
- type: pearson_manhattan
|
943 |
-
value: 0.4154787596532877
|
944 |
-
name: Pearson Manhattan
|
945 |
-
- type: spearman_manhattan
|
946 |
-
value: 0.3836945296053597
|
947 |
-
name: Spearman Manhattan
|
948 |
-
- type: pearson_euclidean
|
949 |
-
value: 0.4111357738180186
|
950 |
-
name: Pearson Euclidean
|
951 |
-
- type: spearman_euclidean
|
952 |
-
value: 0.3821548244303783
|
953 |
-
name: Spearman Euclidean
|
954 |
-
- type: pearson_dot
|
955 |
-
value: 0.48625234725541483
|
956 |
-
name: Pearson Dot
|
957 |
-
- type: spearman_dot
|
958 |
-
value: 0.5302744622635869
|
959 |
-
name: Spearman Dot
|
960 |
-
- type: pearson_max
|
961 |
-
value: 0.48625234725541483
|
962 |
-
name: Pearson Max
|
963 |
-
- type: spearman_max
|
964 |
-
value: 0.5302744622635869
|
965 |
-
name: Spearman Max
|
966 |
-
- type: pearson_cosine
|
967 |
-
value: 0.5929570742517215
|
968 |
-
name: Pearson Cosine
|
969 |
-
- type: spearman_cosine
|
970 |
-
value: 0.6266361518449931
|
971 |
-
name: Spearman Cosine
|
972 |
-
- type: pearson_manhattan
|
973 |
-
value: 0.5608268850302591
|
974 |
-
name: Pearson Manhattan
|
975 |
-
- type: spearman_manhattan
|
976 |
-
value: 0.6228972623939251
|
977 |
-
name: Spearman Manhattan
|
978 |
-
- type: pearson_euclidean
|
979 |
-
value: 0.5579847474929831
|
980 |
-
name: Pearson Euclidean
|
981 |
-
- type: spearman_euclidean
|
982 |
-
value: 0.6202030126844109
|
983 |
-
name: Spearman Euclidean
|
984 |
-
- type: pearson_dot
|
985 |
-
value: 0.4578333834889949
|
986 |
-
name: Pearson Dot
|
987 |
-
- type: spearman_dot
|
988 |
-
value: 0.5628471668594075
|
989 |
-
name: Spearman Dot
|
990 |
-
- type: pearson_max
|
991 |
-
value: 0.5929570742517215
|
992 |
-
name: Pearson Max
|
993 |
-
- type: spearman_max
|
994 |
-
value: 0.6266361518449931
|
995 |
-
name: Spearman Max
|
996 |
---
|
997 |
|
998 |
## State-of-the-Art Results Comparison (MTEB STS Multilingual Leaderboard)
|
|
|
2 |
language: []
|
3 |
library_name: sentence-transformers
|
4 |
tags:
|
5 |
+
- mteb
|
6 |
- sentence-transformers
|
7 |
- sentence-similarity
|
8 |
- feature-extraction
|
9 |
- dataset_size:100K<n<1M
|
10 |
- loss:AnglELoss
|
11 |
base_model: sentence-transformers/paraphrase-multilingual-mpnet-base-v2
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|
12 |
widget:
|
13 |
- source_sentence: 有些人在路上溜达。
|
14 |
sentences:
|
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|
36 |
- En jente børster håret sitt
|
37 |
- אדם מחלק תפוח אדמה.
|
38 |
pipeline_tag: sentence-similarity
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39 |
---
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40 |
|
41 |
## State-of-the-Art Results Comparison (MTEB STS Multilingual Leaderboard)
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