1.Clone the repository and install requirements. (If you have already done this, please move to the step 2.)
git clone https://github.com/RUCAIBox/RecDatasets
cd RecDatasets/conversion_tools
pip install -r requirements.txt
2.Download the Netflix Dataset and extract the dataset file. (If you have already done this, please move to the step 3.)
please go to https://www.kaggle.com/netflix-inc/netflix-prize-data, and
click 'Download' to get archive.zip. Then place archive.zip in directory
'conversion_tools/'.
unzip -o -d ./netflix-data archive.zip
3.Go the conversion_tools/ directory
and run the following command to get the atomic files of Netflix dataset.
python run.py --dataset netflix \
--input_path netflix-data --output_path training_data/netflix \
--convert_inter
input_path is the path of the input decompressed Netflix file
output_path is the path to store converted atomic files
convert_inter Netflix only can be converted to '*.inter' atomic file