ipinyou data size and base line code

[Sandy4321]

zipped
ipinyou is 249 MB
and uzipeed 1.5 gb
in
https://drive.google.com/drive/folders/1thXezQbmuS6Q8-AXmrhB0tLM3mybJxVR?usp=sharing

but
https://github.com/wnzhang/make-ipinyou-data
stated that

After the program finished, the total size of the folder will be 14G.

so it is because hdf5
data in
https://drive.google.com/drive/folders/1thXezQbmuS6Q8-AXmrhB0tLM3mybJxVR?usp=sharing
so small , or some clarifications needed?

I understand that due to
removed the user-tag feature considering leaky problems
some data file reduction happen as well

May you please share some baseline code to try this data
then everything will be clear

[Atomu2014]

hdf5 is a compressed file format
you should check the number of examples instead of file size
I have shared all baselines compared in my papers, see https://github.com/Atomu2014/product-nets and https://github.com/Atomu2014/product-nets-distributed

[Sandy4321]

great thanks a lot
but I am looking for really simple python baseline
without complicated packages as TF
do you have one or do you know somebody who has
performance is not important , I try just learn for very beginning ?

[Atomu2014]

Hi, I suggest you can try these packages: xgboost > libfm > libffm
search them on the Internet and find the official guide
these packages are easy to try since you don't need to touch the model, and the only thing yous should do is just preparing the data and call API / CLI

[Sandy4321]

great so where to get prepossessed Criteo data set?
per
The original dataset is know as Criteo 1TB click log, in which the CriteoLab has collected 30 days of masked data. We only know there are 13 numerical and 26 categorical features, and there is no feature description released. Thus we name thease features as num_0 ... num_12, and cat_0 ..., cat_25.

[Atomu2014]

Hi, there are 2 download links in the "Download" section of README.
The processed dataset only contains 8 days' logs.