dataset_infos.json

{"abstract": {"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.\n", "citation": "@article{eddine2020barthez,\n  title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model},\n  author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis},\n  journal={arXiv preprint arXiv:2010.12321},\n  year={2020}\n}\n", "homepage": "https://github.com/Tixierae/OrangeSum/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "text", "output": "summary"}, "builder_name": "orange_sum", "config_name": "abstract", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 53531651, "num_examples": 21401, "dataset_name": "orange_sum"}, "test": {"name": "test", "num_bytes": 3785207, "num_examples": 1500, "dataset_name": "orange_sum"}, "validation": {"name": "validation", "num_bytes": 3698650, "num_examples": 1500, "dataset_name": "orange_sum"}}, "download_checksums": {"https://raw.githubusercontent.com/Tixierae/OrangeSum/main/data/docs/splits/abstract.tgz": {"num_bytes": 23058350, "checksum": "eaa4321b70bcf41c758d02fb5a94e50d73509a2be32adb1f9aacdcfd5796434b"}}, "download_size": 23058350, "post_processing_size": null, "dataset_size": 61015508, "size_in_bytes": 84073858}, "title": {"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.\n", "citation": "@article{eddine2020barthez,\n  title={BARThez: a Skilled Pretrained French Sequence-to-Sequence Model},\n  author={Eddine, Moussa Kamal and Tixier, Antoine J-P and Vazirgiannis, Michalis},\n  journal={arXiv preprint arXiv:2010.12321},\n  year={2020}\n}\n", "homepage": "https://github.com/Tixierae/OrangeSum/", "license": "", "features": {"text": {"dtype": "string", "id": null, "_type": "Value"}, "summary": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": {"input": "text", "output": "summary"}, "builder_name": "orange_sum", "config_name": "title", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 65225136, "num_examples": 30659, "dataset_name": "orange_sum"}, "test": {"name": "test", "num_bytes": 3176690, "num_examples": 1500, "dataset_name": "orange_sum"}, "validation": {"name": "validation", "num_bytes": 3276713, "num_examples": 1500, "dataset_name": "orange_sum"}}, "download_checksums": {"https://raw.githubusercontent.com/Tixierae/OrangeSum/main/data/docs/splits/title.tgz": {"num_bytes": 27321627, "checksum": "5d15823f7e1158f16f5428fdfc8fa26509f98325c0793d6a8880a33af9822301"}}, "download_size": 27321627, "post_processing_size": null, "dataset_size": 71678539, "size_in_bytes": 99000166}}