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Description

Dataframe containing 949 French books in txt format.
More precisely :

  • the titre column contains the title of the book
  • the auteur column contains the author's name and dates of birth and death (if you want to filter the texts to keep only those from a given century to the present day; for example, Cligès and Erec et Enide are in very early French)
  • the résumé_wiki column contains a summary of the book from French Wikipedia
  • the résumé_wiki_en column contains a summary of the book from English Wikipedia
  • the résumé_autre column contains a summary of the book from a site other than Wikipedia (the license for this column is very uncertain, which is why we put this dataset behind a gate)
  • the texte column contains texts
  • the nb_words column contains an estimate of the number of words per text (a simple .split(" "); again if you want to filter)

All available summaries (resumé_wiki + résumé_wiki_en + résumé_autre) represent 1513 lines.

Assuming an average word length of 1.3 to 1.5 tokens, we have :

  • Estimated number of texts with at least 2048 tokens: between 940 and 945
  • Estimated number of texts with at least 4096 tokens: between 871 and 879
  • Estimated number of texts with at least 8192 tokens: between 833 and 844
  • Estimated number of texts with at least 16384 tokens: between 729 and 750
  • Estimated number of texts with at least 32768 tokens: between 591 and 634
  • Estimated number of texts with at least 65536 tokens: between 409 and 444
  • Estimated number of texts with at least 131072 tokens: between 202 and 230
  • Estimated number of texts with at least 262144 tokens: between 53 and 81
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