--- license: cc-by-nc-4.0 configs: - config_name: default data_files: - split: all path: probs_2606.jsonl --- # CPRet-Embeddings This repository provides the **problem descriptions** and their corresponding **precomputed embeddings** used by the [CPRet](https://github.com/coldchair/CPRet) retrieval server. You can explore the retrieval server via the online demo at https://cpret.online/. ## 📦 Files * `probs_2606.jsonl` A JSONL file containing natural language descriptions of competitive programming problems. Each line is a JSON object with metadata such as problem title, platform/source OJ, URL, and full description. * `probs_2606_embs.npy` A NumPy array of dense embeddings corresponding to each problem in `probs_2606.jsonl`. These embeddings are generated using the model [coldchair16/CPRetriever-Prob-Qwen3-4B-2510](https://huggingface.co/coldchair16/CPRetriever-Prob-Qwen3-4B-2510). ## 🧠 Embedding Model The embeddings in this repository are computed with: * [coldchair16/CPRetriever-Prob-Qwen3-4B-2510](https://huggingface.co/coldchair16/CPRetriever-Prob-Qwen3-4B-2510) ## 🌐 Problem Sources (OJ) The current `2606` problem set includes problems from the following online judges: * [Codeforces](https://codeforces.com/) * [Codeforces Gym](https://codeforces.com/gyms) * [AtCoder](https://atcoder.jp/) * [Leetcode](https://leetcode.com/) * [SPOJ](https://www.spoj.com/) * [Nowcoder](https://ac.nowcoder.com/) * [Luogu](https://www.luogu.com.cn/) * [Loj](https://loj.ac/) * [CodeChef](https://www.codechef.com/) * [AIZU](https://judge.u-aizu.ac.jp/onlinejudge/) * [UOJ](https://uoj.ac/) * [QOJ](https://qoj.ac/) Data snapshot: **June 2026**. ## 📚 Full Project For full server usage, deployment instructions, and query examples, see: 👉 [CPRet GitHub Repository](https://github.com/coldchair/CPRet) ## 🗂️ Versioning & Naming Convention This repository uses a **YYMM** naming convention for dataset versions: - `YY` = last two digits of the year - `MM` = month This repository keeps the **latest version** as well as **historical versions** of problem sets and embeddings for reproducibility and backward compatibility.