text: Focus on sentence embeddings Finally, like the 
  original version of MTEB, the comparison focuses 
  mainly on sentence embeddings. Other tasks could 
  be added to cover word embeddings and, therefore, 
  more NLP tasks. 
  
  Rachel Bawden, Eric Bilinski, Thomas Lavergne, and 
  Sophie Rosset. 2021. Diabla: A corpus of bilingual 
  spontaneous written dialogues for machine transla- 
  tion. Language Resources and Evaluation, 55:635– 
  660. 
  Acknowledgements 
  
  We would like to thank Wikit11 and Esker12 for 
  providing compute and funding this research. 
  
  David M Blei, Andrew Y Ng, and Michael I Jordan. 
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  Jianlv Chen, Shitao Xiao, Peitian Zhang, Kun Luo, Defu 
  Lian, and Zheng Liu. 2024. Bge m3-embedding: 
  Multi-lingual, multi-functionality, multi-granularity 
  text embeddings through self-knowledge distillation. 
  
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