text: # samples 
  5000 
  422 
  2974 
  2974 
  3193 
  3193 
  2556 
  2556 
  26233 
  422 
  422 
  15828 
  15828 
  1007 
  2000 
  1379 
  104 
  4906 
  5748 
  1012 
  2316 - 2975 - 22064 
  100 - 100 - 917 
  2316 - 2556 
  222 - 22600 
  100 - 90 
  100 - 1100 - 1600 
  
  Table 3: Details of the data used for each task. The average number of tokens of texts is computed using the 
  cl100k_base tokenizer. For Reranking, the three numbers refer to the queries, the pairs of queries with relevant 
  documents and the pairs of queries with irrelevant ones, respectively. The pairs of queries and documents are 
  obtained from the 90 dataset’s documents. For Retrieval datasets, the two numbers refer to the queries and the 
  documents, respectively. For SummEvalFr, the three numbers refer to the texts, human and machine summaries. 
  References to all the datasets used are available. 