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 Steam Dataset and extract the dataset file. (If you have already done this, please move to the step 3.)
wget http://cseweb.ucsd.edu/~wckang/steam_reviews.json.gz
wget http://cseweb.ucsd.edu/~wckang/steam_games.json.gz
mkdir steam-data
gunzip -c steam_reviews.json.gz > steam-data/steam_reviews.json
gunzip -c steam_games.json.gz > steam-data/steam_games.json
rm -rvf steam_reviews.json.gz
rm -rvf steam_games.json.gz
3.Go the conversion_tools/ directory
and run the following command to get the atomic files of Steam dataset.
# if duplicate_removal
python run.py --dataset steam --input_path steam-data --output_path training_data/steam --duplicate_removal --convert_inter
# if not duplicate_removal
python run.py --dataset steam --input_path steam-data --output_path training_data/steam --convert_inter
python run.py --dataset steam --input_path steam-data --output_path training_data/steam --convert_item
input_path is the path of the input decompressed Steam file.
output_path is the path to store converted atomic files.
dupliacte_removal There may be multiple interaction records for the same user-item pair. Add --dupliacte_removal can
keep only the most recent interaction between user and item and
record the number of interactions between the user and the item.
If you do not want to do this, please ignore this parameter.
convert_inter Steam can be converted to '*.inter' atomic file.
convert_inter Steam can be converted to '*.item' atomic file.