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+{"krm--modified-orangeSum": {"description": "The OrangeSum dataset was inspired by the XSum dataset. It was created by scraping the \"Orange Actu\" website: https://actu.orange.fr/. Orange S.A. is a large French multinational telecommunications corporation, with 266M customers worldwide. Scraped pages cover almost a decade from Feb 2011 to Sep 2020. They belong to five main categories: France, world, politics, automotive, and society. The society category is itself divided into 8 subcategories: health, environment, people, culture, media, high-tech, unsual (\"insolite\" in French), and miscellaneous.\n\nEach article featured a single-sentence title as well as a very brief abstract, both professionally written by the author of the article. These two fields were extracted from each page, thus creating two summarization tasks: OrangeSum Title and OrangeSum Abstract.", "citation": "@inproceedings{kamal-eddine-etal-2021-barthez,\n    title = \"{BART}hez: a Skilled Pretrained {F}rench Sequence-to-Sequence Model\",\n    author = \"Kamal Eddine, Moussa  and\n      Tixier, Antoine  and\n      Vazirgiannis, Michalis\",\n    booktitle = \"Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing\",\n    month = nov,\n    year = \"2021\",\n    address = \"Online and Punta Cana, Dominican Republic\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2021.emnlp-main.740\",\n    pages = \"9369--9390\",\n}", "homepage": "https://github.com/Tixierae/OrangeSum/", "license": "", "features": {"summary": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": null, "config_name": null, "version": null, "splits": {"train": {"name": "train", "num_bytes": 63642704.20880636, "num_examples": 21753, "dataset_name": "modified-orangeSum"}}, "download_checksums": null, "download_size": 38463228, "post_processing_size": null, "dataset_size": 63642704.20880636, "size_in_bytes": 102105932.20880637}}