| {"pritamdeka--cord-19-fulltext": {"description": "The Covid-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on Covid-19 and related\nhistorical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information\nretrieval systems over its rich collection of metadata and structured full text papers. Since its release, CORD-19\nhas been downloaded over 75K times and has served as the basis of many Covid-19 text mining and discovery systems.\n\nThe dataset itself isn't defining a specific task, but there is a Kaggle challenge that define 17 open research\nquestions to be solved with the dataset: https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge/tasks\n", "citation": "@article{Wang2020CORD19TC,\n title={CORD-19: The Covid-19 Open Research Dataset},\n author={Lucy Lu Wang and Kyle Lo and Yoganand Chandrasekhar and Russell Reas and Jiangjiang Yang and Darrin Eide and\n K. Funk and Rodney Michael Kinney and Ziyang Liu and W. Merrill and P. Mooney and D. Murdick and Devvret Rishi and\n Jerry Sheehan and Zhihong Shen and B. Stilson and A. Wade and K. Wang and Christopher Wilhelm and Boya Xie and\n D. Raymond and Daniel S. Weld and Oren Etzioni and Sebastian Kohlmeier},\n journal={ArXiv},\n year={2020}\n}\n", "homepage": "https://www.semanticscholar.org/cord19/download", "license": "", "features": {"fulltext": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "cord19", "config_name": "fulltext", "version": {"version_str": "0.0.0", "description": null, "major": 0, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 3221998461, "num_examples": 368618, "dataset_name": "cord-19-fulltext"}}, "download_checksums": null, "download_size": 1692767241, "post_processing_size": null, "dataset_size": 3221998461, "size_in_bytes": 4914765702}} |