Datasets:

reczoo
/

iPinYou_x1

Modalities:

Tabular

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Size:

Libraries:

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train · 19.5M rows

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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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End of preview. Expand in Data Studio

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

Downloads last month: 658

Size of downloaded dataset files:

252 MB

Size of the auto-converted Parquet files:

418 MB

Number of rows:

19,495,974