Fine Tuning On Curated Competitive Programming Datasets

via “competitive-programming-problem-corpus-with-multi-language-solutions”

13K competitive programming problems from AlphaCode research.

Unique: Curated from real competitive programming platforms (Codeforces, AtCoder) with difficulty calibration via median/95th percentile metrics, rather than synthetic or classroom problems. Includes both public and hidden test cases enabling true generalization evaluation, and was specifically constructed to train AlphaCode, making it the largest real-world algorithmic problem corpus for code generation.

vs others: Larger and more algorithmically rigorous than HumanEval or MBPP (which focus on simple utility functions), and more representative of real problem-solving than synthetic benchmarks, while providing standardized difficulty stratification absent from raw Codeforces dumps.