--- language: - fr license: cc-by-sa-4.0 size_categories: - 10K 1000: document = orange_sum['train'][i]['text'][:1000] targets = orange_sum['train'][i]['summary'][1000:] ``` # Splits - train with 48,069 samples - no valid and test splits in the original data # How to use? ``` from datasets import load_dataset dataset = load_dataset("CATIE-AQ/orange_sum_fr_prompt_text_generation") ``` # Citation ## Original data > @article{eddine2020barthez, title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model}, author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis}, journal={arXiv preprint arXiv:2010.12321}, year={2020} } ## This Dataset ## License CC-BY-SA-4.0