{"url":"/dataset/sports10","name":"Sports10","full_name":null,"description_markdown":"- Games dataset containing 100,000 Gameplay Images of 175 Video Games across 10 Sports Genres - AMERICAN FOOTBALL, BASKETBALL, BIKE RACING, CAR RACING, FIGHTING, HOCKEY, SOCCER, TABLE TENNIS, TENNIS. \r\n\r\n- Hand-curated images to remove menu/transition frames and only include gameplay sequences.\r\n\r\n- Games are divided into three visual styling categories: \r\n        RETRO (arcade-style, 1990s and earlier)\r\n        MODERN (roughly 2000s)\r\n        PHOTOREAL (roughly late 2010s).","description_withheld":null,"homepage":"https://github.com/ChintanTrivedi/contrastive-game-representations","introduced_date":"2021-06-18","introduced_date_note":null,"introduced_by":{"paper":"/paper/contrastive-learning-of-generalized-game","title":"Contrastive Learning of Generalized Game Representations","first_author":"Chintan Trivedi","url":null},"license":{"name":"Apache License 2.0","url":"https://github.com/ChintanTrivedi/contrastive-game-representations/blob/master/LICENSE"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Representation Learning","url":"/task/representation-learning","datasets_with_task":"/datasets/task/representation-learning"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Sports10"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-sports10","task":"Image Classification","dataset_variant":"Sports10","rows":1,"metrics":["Validation Accuracy"],"first_row_in_archive_order":{"model":"Max Margin Contrastive","paper":"/paper/contrastive-learning-of-generalized-game","metrics":{"Validation Accuracy":"93.42"},"code_links":[{"title":"ChintanTrivedi/contrastive-game-representations","url":"https://github.com/ChintanTrivedi/contrastive-game-representations"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/representation-learning-on-sports10","task":"Representation Learning","dataset_variant":"Sports10","rows":1,"metrics":["Silhouette Score"],"first_row_in_archive_order":{"model":"Max Margin Contrastive","paper":"/paper/contrastive-learning-of-generalized-game","metrics":{"Silhouette Score":"0.56"},"code_links":[{"title":"ChintanTrivedi/contrastive-game-representations","url":"https://github.com/ChintanTrivedi/contrastive-game-representations"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/contrastive-learning-of-generalized-game","title":"Contrastive Learning of Generalized Game Representations","date":"2021-06-18","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}