{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/sportsett-basketball-a-robust-and","title":"SportSett:Basketball - A robust and maintainable dataset for Natural Language Generation","arxiv_id":null,"date":"2020-09-07","proceeding":"IntelLang 2020 9","authors":["Craig Thomson","Ehud Reiter","Somayajulu Sripada"],"abstract":"Data2Text Natural Language Generation is a complex and varied task. We investigate the data requirements for the difficult real-world\r\nproblem of generating statistic-focused summaries of basketball games. This has recently been tackled using the Rotowire and\r\nRotowire-FG datasets of paired data and text. It can, however, be difficult to filter, query, and maintain such large volumes of data. In\r\nthis resource paper, we introduce the SportSett:Basketball database. This easy-to-use resource allows for simple scripts to be written\r\nwhich generate data in suitable formats for a variety of systems. Building upon the existing data, we provide more attributes, across multiple dimensions, increasing the overlap of content between data and text. We also highlight\r\nand resolve issues of training, validation and test partition contamination in these previous datasets.","url_abs":"https://aclanthology.org/2020.intellang-1.4/","url_pdf":"https://aclanthology.org/2020.intellang-1.4.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[],"tasks":[{"task_slug":"text-generation","task_name":"Text Generation"}],"methods":[],"datasets_introduced":[{"slug":"sportsett","name":"SportSett","full_name":""}],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}