Datasets:

reczoo
/

iPinYou_x1

weekday int64 1 7	hour int64 9 32	IP int64 33 705k	region int64 705k 705k	city int64 705k 705k	adexchange int64 705k 705k	domain int64 705k 757k	slotid int64 757k 937k	slotwidth int64 937k 937k	slotheight int64 937k 937k	slotvisibility int64 937k 937k	slotformat int64 937k 937k	creative int64 937k 938k	advertiser int64 938k 938k	useragent int64 938k 938k	slotprice int64 938k 938k
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5	9	577,010	705,017	705,351	705,407	751,389	773,622	937,443	937,463	937,467	937,477	937,576	937,619	937,655	937,666
5	9	388,636	705,032	705,388	705,407	709,873	873,511	937,443	937,463	937,465	937,477	937,536	937,614	937,657	937,666
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5	9	535,647	705,009	705,147	705,407	742,381	756,732	937,443	937,463	937,467	937,477	937,550	937,621	937,657	937,666
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5	9	495,807	705,006	705,109	705,406	712,137	937,075	937,436	937,456	937,467	937,478	937,533	937,621	937,655	937,665
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5	9	469,801	705,026	705,334	705,406	748,390	935,566	937,446	937,463	937,465	937,478	937,594	937,619	937,656	937,665
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5	9	655,261	705,005	705,135	705,406	747,799	936,288	937,436	937,456	937,466	937,478	937,532	937,620	937,657	937,665
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5	9	633,778	705,010	705,162	705,406	749,980	935,752	937,446	937,463	937,466	937,478	937,594	937,619	937,655	937,665
5	9	71,794	705,017	705,394	705,406	714,403	935,377	937,436	937,456	937,465	937,478	937,532	937,620	937,655	937,665
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5	9	515,133	705,005	705,103	705,407	749,753	825,030	937,431	937,461	937,465	937,477	937,534	937,620	937,655	937,667
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5	9	503,075	705,002	705,071	705,407	710,726	769,783	937,436	937,456	937,467	937,477	937,532	937,620	937,657	937,666

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YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

iPinYou_x1

Dataset description:

The iPinYou Global Real-Time Bidding Algorithm Competition is organized by iPinYou from April 1st, 2013 to December 31st, 2013.The competition has been divided into three seasons. For each season, a training dataset is released to the competition participants, the testing dataset is reserved by iPinYou. The complete testing dataset is randomly divided into two parts: one part is the leaderboard testing dataset to score and rank the participating teams on the leaderboard, and the other part is reserved for the final offline evaluation. The participant's last offline submission is evaluated by the reserved testing dataset to get a team's offline final score. This dataset contains all three seasons training datasets and leaderboard testing datasets.The reserved testing datasets are withheld by iPinYou. The training dataset includes a set of processed iPinYou DSP bidding, impression, click, and conversion logs.
Source: https://contest.ipinyou.com/
Download: https://huggingface.co/datasets/reczoo/iPinYou_x1/tree/main
RecZoo Datasets: https://github.com/reczoo/Datasets
Used by papers:
- Bin Liu, Niannan Xue, Huifeng Guo, Ruiming Tang, Stefanos Zafeiriou, Xiuqiang He, Zhenguo Li. AutoGroup: Automatic Feature Grouping for Modelling Explicit High-Order Feature Interactions in CTR Prediction. In SIGIR 2020.

Check the md5sum for data integrity:

$ md5sum *.csv
a94374868687794ff8c0c4d0b124a400  test.csv
9dd8979d265ab1ed7662ffd49fd73247  train.csv

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Size of downloaded dataset files:

252 MB

Size of the auto-converted Parquet files:

418 MB

Number of rows:

19,495,974