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@@ -17,46 +17,37 @@ tags:
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  - sentence-transformers
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  - sentence-similarity
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  - feature-extraction
 
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  model-index:
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- - name: SentenceTransformer based on FacebookAI/xlm-roberta-large
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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: 0.8256350418804052
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- name: Pearson Cosine
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- - type: spearman_cosine
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- value: 0.827478494281667
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- name: Spearman Cosine
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- - type: pearson_manhattan
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- value: 0.8228224900306127
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- name: Pearson Manhattan
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- - type: spearman_manhattan
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- value: 0.8284011632112219
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- name: Spearman Manhattan
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- - type: pearson_euclidean
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- value: 0.8231973876582674
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- name: Pearson Euclidean
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- - type: spearman_euclidean
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- value: 0.8288613978074281
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- name: Spearman Euclidean
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- - type: pearson_dot
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- value: 0.8016573454999604
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- name: Pearson Dot
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- - type: spearman_dot
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- value: 0.8004396683364462
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- name: Spearman Dot
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- - type: pearson_max
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- value: 0.8256350418804052
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- name: Pearson Max
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- - type: spearman_max
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- value: 0.8288613978074281
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- name: Spearman Max
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  license: apache-2.0
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  language:
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  - ar
 
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  - sentence-transformers
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  - sentence-similarity
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  - feature-extraction
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+ - mteb
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  model-index:
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+ - name: omarelshehy/Arabic-STS-Matryoshka
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  results:
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+ - dataset:
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+ config: ar-ar
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+ name: MTEB STS17 (ar-ar)
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+ revision: faeb762787bd10488a50c8b5be4a3b82e411949c
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+ split: test
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+ type: mteb/sts17-crosslingual-sts
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  metrics:
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+ - type: cosine_pearson
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+ value: 81.88865368687937
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+ - type: cosine_spearman
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+ value: 82.90236782891859
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+ - type: euclidean_pearson
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+ value: 81.21254869664341
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+ - type: euclidean_spearman
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+ value: 82.28002933909444
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+ - type: main_score
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+ value: 82.90236782891859
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+ - type: manhattan_pearson
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+ value: 81.26482951395201
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+ - type: manhattan_spearman
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+ value: 82.36146806563059
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+ - type: pearson
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+ value: 81.88865526924
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+ - type: spearman
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+ value: 82.89304993265725
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+ task:
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+ type: STS
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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  language:
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  - ar