Datasets › Google Ranked URLs Dataset
Google Ranked URLs Dataset
This dataset was curated for Search Engine Optimization (SEO) analysis tasks, including categorization and spam detection. It covers 12 diverse topics: basketball, books, cats, gardening, history, movies, music, recipes, sports, technology, travel, and weather. Some topics have hierarchical relationships, such as sports and basketball, while others are closely related (e.g., movies and music) or unrelated (e.g., basketball and gardening), with varying degrees of overlap among them. For each topic, approximately 300 search queries were generated using large language models (LLMs) like GPT, Llama, and Claude. The top 10 URLs from the Google Search Console’s search engine results page (SERP) were retrieved for each query.
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
- Google Ranked URLs Dataset
1 variant name, as the archive lists them.
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