# 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](https://dl.acm.org/doi/abs/10.1145/3397271.3401082). In SIGIR 2020.

+ **Check the md5sum for data integrity:**
  ```bash
  $ md5sum *.csv
  a94374868687794ff8c0c4d0b124a400  test.csv
  9dd8979d265ab1ed7662ffd49fd73247  train.csv
  ```