diff --git "a/boards_data/en/data_tasks/PairClassification/default.jsonl" "b/boards_data/en/data_tasks/PairClassification/default.jsonl"
--- "a/boards_data/en/data_tasks/PairClassification/default.jsonl"
+++ "b/boards_data/en/data_tasks/PairClassification/default.jsonl"
@@ -1,9 +1,9 @@
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@@ -16,44 +16,44 @@
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{"index":57,"Rank":53,"Model":"e5-large-v2-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":86.03,"SprintDuplicateQuestions":94.92,"TwitterSemEval2015":76.92,"TwitterURLCorpus":86.25}
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{"index":36,"Rank":59,"Model":"Cohere-embed-english-v3.0<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":1024,"Max Tokens":512,"Average":85.84,"SprintDuplicateQuestions":96.25,"TwitterSemEval2015":74.8,"TwitterURLCorpus":86.46}
@@ -65,77 +65,77 @@
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@@ -144,22 +144,22 @@
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{"index":129,"Rank":152,"Model":"Titan-text-embeddings-v2<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.14,"SprintDuplicateQuestions":92.92,"TwitterSemEval2015":67.8,"TwitterURLCorpus":85.71}
{"index":147,"Rank":153,"Model":"cai-stellaris-text-embeddings<\/a>","Model Size (Million Parameters)":53,"Memory Usage (GB, fp32)":0.2,"Embedding Dimensions":768,"Max Tokens":514,"Average":82.11,"SprintDuplicateQuestions":93.23,"TwitterSemEval2015":69.6,"TwitterURLCorpus":83.49}
{"index":340,"Rank":154,"Model":"snowflake-arctic-embed-s-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":82.07,"SprintDuplicateQuestions":95.28,"TwitterSemEval2015":65.78,"TwitterURLCorpus":85.15}
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{"index":92,"Rank":158,"Model":"SGPT-5.8B-weightedmean-msmarco-specb-bitfit<\/a>","Model Size (Million Parameters)":5874,"Memory Usage (GB, fp32)":21.88,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":82.0,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":66.87,"TwitterURLCorpus":85.29}
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{"index":138,"Rank":160,"Model":"sgpt-bloom-7b1-msmarco<\/a>","Model Size (Million Parameters)":7068,"Memory Usage (GB, fp32)":26.33,"Embedding Dimensions":4096,"Max Tokens":2048,"Average":81.9,"SprintDuplicateQuestions":94.93,"TwitterSemEval2015":65.31,"TwitterURLCorpus":85.46}
{"index":115,"Rank":161,"Model":"bge-micro<\/a>","Model Size (Million Parameters)":17,"Memory Usage (GB, fp32)":0.06,"Embedding Dimensions":384,"Max Tokens":512,"Average":81.77,"SprintDuplicateQuestions":95.3,"TwitterSemEval2015":65.79,"TwitterURLCorpus":84.22}
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{"index":130,"Rank":163,"Model":"bge-small-4096<\/a>","Model Size (Million Parameters)":35,"Memory Usage (GB, fp32)":0.13,"Embedding Dimensions":384,"Max Tokens":4096,"Average":81.4,"SprintDuplicateQuestions":95.15,"TwitterSemEval2015":65.79,"TwitterURLCorpus":83.27}
{"index":335,"Rank":164,"Model":"snowflake-arctic-embed-m-v1.5-Q8_0-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.36,"SprintDuplicateQuestions":96.15,"TwitterSemEval2015":63.28,"TwitterURLCorpus":84.66}
{"index":338,"Rank":165,"Model":"snowflake-arctic-embed-m-v1.5-Q4_K_M-GGUF<\/a>","Model Size (Million Parameters)":"","Memory Usage (GB, fp32)":"","Embedding Dimensions":"","Max Tokens":"","Average":81.36,"SprintDuplicateQuestions":96.15,"TwitterSemEval2015":63.28,"TwitterURLCorpus":84.66}
@@ -172,95 +172,95 @@
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{"index":74,"Rank":173,"Model":"LLM2Vec-Mistral-unsupervised<\/a>","Model Size (Million Parameters)":7111,"Memory Usage (GB, fp32)":26.49,"Embedding Dimensions":4096,"Max Tokens":32768,"Average":80.94,"SprintDuplicateQuestions":91.3,"TwitterSemEval2015":68.76,"TwitterURLCorpus":82.76}
{"index":154,"Rank":174,"Model":"multi-qa-MiniLM-L6-cos-v1<\/a>","Model Size (Million Parameters)":23,"Memory Usage (GB, fp32)":0.09,"Embedding Dimensions":384,"Max Tokens":512,"Average":80.86,"SprintDuplicateQuestions":93.84,"TwitterSemEval2015":64.72,"TwitterURLCorpus":84.01}
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@@ -314,26 +314,26 @@
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