{"url":"/dataset/onlysports-dataset","name":"OnlySports Dataset","full_name":null,"description_markdown":"The OnlySports Dataset is a comprehensive collection of sports-related text data, comprising approximately 600 billion tokens. This massive corpus was carefully curated from the FineWeb dataset, a cleaned subset of CommonCrawl spanning from 2013 to present. The dataset creation involved a two-step process:\r\n\r\n1. URL filtering using sports-related keywords to identify potentially relevant content.\r\n2. Application of a custom-built sports text classifier to accurately extract sports-specific documents.\r\n\r\nAt 1.2 TB in size, OnlySports Dataset represents the largest known sports-domain dataset to date. It encompasses a wide range of content including news articles, blogs, match reports, interviews, and tutorials, providing a rich resource for training domain-specific language models in the sports field.","description_withheld":null,"homepage":"https://huggingface.co/datasets/Chrisneverdie/OnlySports_Dataset","introduced_date":"2024-08-30","introduced_date_note":null,"introduced_by":{"paper":"/paper/onlysportslm-optimizing-sports-domain","title":"OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters","first_author":"Zexin Chen","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Generation","url":"/task/text-generation","datasets_with_task":"/datasets/task/text-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["OnlySports Dataset"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}