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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.
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