text: 3.1.1 Syntec (Retrieval) 
  
  The Syntec French collective bargaining agree- 
  ment3 comprises around 90 articles. Despite its 
  topic, the language used does not feature the speci- 
  ficity of the legal vocabulary, making the data 
  suitable for benchmarking general-purpose mod- 
  els. The articles have been scraped for use as doc- 
  uments. Four annotators were divided into two 
  groups. Each group was given half of the articles 
  and asked to choose an article and write a question 
  about it. Each annotator wrote 25 questions. Thus, 
  a hundred questions have been manually created 
  and paired with the articles containing the answer4. 
  Examples of the dataset are available in the ap- 
  pendix Figure 5. This dataset could also be used 
  for text classification, clustering or topic modeling. 
  Regarding quality checks, every article’s integrity 
  has been reviewed while manually creating ques- 
  tions. We also manually checked that the questions 
  could only be answered using the annotated article. 
  
  3 MTEB for French 
  
  In this section, we describe the datasets and the 
  models that we propose for the French extension 
  of MTEB. We also list the research questions we 
  want to discuss with the results. 