{"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/reddwarfdata-a-simplified-dataset-of","title":"RedDwarfData: a simplified dataset of StarCraft matches","arxiv_id":"1712.10179","date":"2017-12-29","proceeding":null,"authors":["Juan J. Merelo-Guervós","Antonio Fernández-Ares","Antonio Álvarez Caballero","Pablo García-Sánchez","Victor Rivas"],"abstract":"The game Starcraft is one of the most interesting arenas to test new machine\nlearning and computational intelligence techniques; however, StarCraft matches\ntake a long time and creating a good dataset for training can be hard. Besides,\nanalyzing match logs to extract the main characteristics can also be done in\nmany different ways to the point that extracting and processing data itself can\ntake an inordinate amount of time and of course, depending on what you choose,\ncan bias learning algorithms. In this paper we present a simplified dataset\nextracted from the set of matches published by Robinson and Watson, which we\nhave called RedDwarfData, containing several thousand matches processed to\nframes, so that temporal studies can also be undertaken. This dataset is\navailable from GitHub under a free license. An initial analysis and appraisal\nof these matches is also made.","url_abs":"http://arxiv.org/abs/1712.10179v1","url_pdf":"http://arxiv.org/pdf/1712.10179v1.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":[{"paper_slug":"reddwarfdata-a-simplified-dataset-of","repo_url":"https://github.com/29antonioac/StarCraft-winner-prediction","is_official":1,"mentioned_in_paper":0,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"starcraft","task_name":"Starcraft"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"syntology_url":null,"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}