{"url":"/dataset/criteo-display-advertising-challenge","name":"Criteo Display Advertising Challenge","full_name":null,"description_markdown":"his dataset contains feature values and click feedback for millions of display \r\nads. Its purpose is to benchmark algorithms for clickthrough rate (CTR) prediction.\r\nIt has been used for the Display Advertising Challenge hosted by Kaggle:\r\nhttps://www.kaggle.com/c/criteo-display-ad-challenge/\r\n\r\n===================================================\r\n\r\nFull description:\r\n\r\nThis dataset contains 2 files:\r\n  train.txt\r\n  test.txt\r\ncorresponding to the training and test parts of the data. \r\n\r\n====================================================\r\n\r\nDataset construction:\r\n\r\nThe training dataset consists of a portion of Criteo's traffic over a period\r\nof 7 days. Each row corresponds to a display ad served by Criteo and the first\r\ncolumn is indicates whether this ad has been clicked or not.\r\nThe positive (clicked) and negatives (non-clicked) examples have both been\r\nsubsampled (but at different rates) in order to reduce the dataset size.\r\n\r\nThere are 13 features taking integer values (mostly count features) and 26\r\ncategorical features. The values of the categorical features have been hashed\r\nonto 32 bits for anonymization purposes. \r\nThe semantic of these features is undisclosed. Some features may have missing values.\r\n\r\nThe rows are chronologically ordered.\r\n\r\nThe test set is computed in the same way as the training set but it \r\ncorresponds to events on the day following the training period. \r\nThe first column (label) has been removed.\r\n\r\n====================================================\r\n\r\nFormat:\r\n\r\nThe columns are tab separeted with the following schema:\r\n<label> <integer feature 1> ... <integer feature 13> <categorical feature 1> ... <categorical feature 26>\r\n\r\nWhen a value is missing, the field is just empty.\r\nThere is no label field in the test set.\r\n\r\n====================================================\r\n\r\nDataset assembled by Olivier Chapelle (o.chapelle@criteo.com)","description_withheld":null,"homepage":"https://labs.criteo.com/2014/02/download-kaggle-display-advertising-challenge-dataset/","introduced_date":"2014-06-24","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Criteo Display Advertising Challenge"],"data_loaders":[],"num_papers_in_archive":3,"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":"2026-09-25T09:33:49+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."}