ss-downloader

pipenv shell
pip install -r requirements.txt

how to use

source load-env.sh
python list.py
python download.py <dataset name>

To download all datasets

python download.py all

You can move the datasets due to relative symlinks. For example:

rsync -azvh $SCRATCH/ ~/cfm_m3918/pearson

how to use (unsupported platform)

set SS_DIR environment variable to the directory where you want the dataset folders to be generated.

What it does

Downloads subsets of the suitesparse collection to different directories. For a given subset, the matrices are first downloaded to the $SCRATCH/suitesparse folder. If a required matrix already exists there, it is not redownloaded. Then, a relative symlink is created from the $SCRATCH/<subset>/<matrix>.mtx file to the corresponding .mtx file in $SCRATCH/suitesparse.

This makes use of a fork of the ssgetpy package with a faster download limit. ssgetpy does not discriminate "real" datatype from "integer" datatype, as shown on the suitesparse collection website. Therefore, we access https://sparse.tamu.edu/files/ss_index.mat to determine that metadata for each file.

Transfer data to a different filesystem

rsync -rzvh --links --info=progress2 pearson@cori.nersc.gov:$SS_DIR/ .

how this was done

poetry-new init
poetry add ssgetpy

poetry install