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Click-Through Rate Prediction datasets

archive 2025-07-28

8 datasets carry the task tag "Click-Through Rate Prediction" (the task itself: Click-Through Rate Prediction), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Click-Through Rate Prediction datasets 1–8 of 8

The MovieLens datasets, first released in 1998, describe people’s expressed preferences for movies.
1,246 papers · 17 benchmarks
CBT (Children’s Book Test)
Children’s Book Test (CBT) is designed to measure directly how well language models can exploit wider linguistic context.
92 papers · 1 benchmark
Criteo (Display Advertising Challenge)
Criteo contains 7 days of click-through data, which is widely used for CTR prediction benchmarking.
46 papers · 1 benchmark
iPinYou (iPinYou Global RTB Bidding Algorithm Competition Dataset)
The iPinYou Global RTB(Real-Time Bidding) Bidding Algorithm Competition is organized by iPinYou from April 1st, 2013 to December 31st, 2013.The competition has been divided into three seasons.
22 papers · 1 benchmark
TripClick is a large-scale dataset of click logs in the health domain, obtained from user interactions of the Trip Database health web search engine.
16 papers · 0 benchmarks
The task is to predict the chances of a user listening to a song repetitively after the first observable listening event within a time window was triggered.
6 papers · 1 benchmark
A clickthrough prediction dataset, for more information please see the Kaggle page
5 papers · 1 benchmark
MerRec (MerRec Recommendation Dataset)
A large scale, C2C marketplace e-commerce dataset.
1 paper · 0 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.