Open-R1 is a research-focused application for reproducing DeepSeek-R1's training and evaluation pipeline. It provides scripts for supervised fine-tuning (SFT) and group relative policy optimization (GRPO), along with tools for synthetic data generation using teacher models, dataset filtering based on pass rates, and evaluation on reasoning and code benchmarks (AIME, MATH, GPQA, LiveCodeBench). The project is a collection of CLI scripts and Python modules rather than a deployed service. It integrates tightly with Hugging Face Hub, Weights & Biases, and external code execution providers (E2B, Morph, Piston) for reward computation. The codebase exhibits good modularity in its reward functions and code execution provider abstractions, but is now deprecated in favor of upstream TRL. The repo is primarily a training/evaluation application, though aspects like dataset filtering and decontamination make it hybrid with data-research characteristics.