Datasets › OnlySports Dataset

OnlySports Dataset

Introduced by Zexin Chen et al. in OnlySportsLM: Optimizing Sports-Domain Language Models with SOTA Performance under Billion Parameters30 Aug 2024 archive 2025-07-28

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:

  1. URL filtering using sports-related keywords to identify potentially relevant content.
  2. Application of a custom-built sports text classifier to accurately extract sports-specific documents.

At 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.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

No licence recorded in the archive. Absence here is not a statement about the dataset's terms.

Modalities archive 2025-07-28

Languages archive 2025-07-28

Variants archive 2025-07-28

  • OnlySports Dataset

1 variant name, as the archive lists them.

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