text: with respect to model ranking? 
  To go further than the correlation analysis among 
  datasets regarding their topics (see section 3.1.5), 
  subsequent analysis will be conducted regarding 
  how they rank models. Additionally, complemen- 
  tary insights will be derived from examining cor- 
  relations of models relative to their strengths and 
  weaknesses across different datasets. 
  
  following: 
  
  • Tuned for sentence similarity: 0.727 
  
  • Finetuned vs pretrained: 0.544 
  
  • Model number of parameters: 0.49 
  
  • Embedding dimension: 0.452 
  
  4 Results and discussion  • Closed source: 0.449 
  
  In this section, we present the results through the 
  prism of our research questions. 
  • Max sequence length: 0.336 
  
  • Multilingual: 0.103 
  
  • English: 0.025 
  
  • English but tuned on other languages: -0.025 
  
  • French: -0.134 
  
  • Bilingual: -0.135 
  
  Additionally, all cross-correlations between charac- 
  teristics are reported in appendix Figure 10. 