Making Datasets Generally Available at NSC
Dnr:
SNIC 2020/6-212
Type:
SNIC Medium Storage
Principal Investigator:
Johan Raber
Affiliation:
Linköpings universitet
Start Date:
2020-10-26
End Date:
2025-11-01
Primary Classification:
10201: Computer Sciences
Webpage:
Allocation
- Centre Storage at NSC: 15000 GiB
Abstract
The goal of this project is to make an area on centre storage read-accessible for the Tetralith users, and populate it with commonly used Machine Learning datasets of general interest for that community. This saves space on centre storage since it reduces data duplication between the users in this community and makes it convenient for all users to access this data.