A retrospective overview of International Collegiate programming contest data

Area of Science:

• Computer Science
• Data Science
• Educational Technology

Background:

• The International Collegiate Programming Contest (ICPC) is a major global competition for college students.
• ICPC involves thousands of students and universities annually, generating significant performance data.
• Existing ICPC data is fragmented and not centrally stored in an open repository.

Purpose of the Study:

• To establish a centralized, open-access data repository for ICPC competitions.
• To facilitate research into competitive programming by consolidating scattered data.
• To provide a valuable resource for analyzing team performance and trends.

Main Methods:

• Data collection from ICPC regional and world finals (2012-2018).
• Data cleaning and standardization from European, Latin-American, North American, and South Pacific regions.
• Consolidation of scattered scoreboard information into a unified dataset.

Main Results:

• A comprehensive dataset of ICPC performance data from 2012 to 2018 has been compiled.
• The repository includes detailed information beyond basic team names and scores.
• The data covers multiple major ICPC regions and world finals.

Conclusions:

• The created data repository opens new avenues for academic research in competitive programming.
• This initiative addresses the long-standing need for accessible ICPC performance data.
• The open data resource will support in-depth analysis of programming talent and competition dynamics.