CPRet-Embeddings

# 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.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, and full description.

* `probs_embs.npy`
A NumPy array of dense embeddings corresponding to each problem in `probs.jsonl`.
These embeddings are generated using the model [coldchair16/CPRetriever-Prob](https://huggingface.co/coldchair16/CPRetriever-Prob).

## 📚 Full Project

For full server usage, deployment instructions, and query examples, see:
👉 [CPRet GitHub Repository](https://github.com/coldchair/CPRet)

# CPRet-嵌入向量（CPRet-Embeddings）
本仓库提供了[CPRet](https://github.com/coldchair/CPRet)检索服务器所使用的**竞赛编程题目描述**及其对应的**预计算嵌入向量**。
您可通过在线演示平台 https://cpret.online/ 体验该检索服务器。

## 📦 文件列表
* `probs.jsonl`
该JSONL文件存储竞赛编程题目的自然语言描述，文件内每一行均为一个包含题目标题、所属平台、完整题目描述等元数据的JSON对象。

* `probs_embs.npy`
该NumPy数组存储与`probs.jsonl`中各题目对应的稠密嵌入向量，此类嵌入向量由模型[coldchair16/CPRetriever-Prob](https://huggingface.co/coldchair16/CPRetriever-Prob)生成。

## 📚 完整项目
如需了解该服务器的完整使用方法、部署指南及查询示例，请参阅：👉 [CPRet GitHub仓库](https://github.com/coldchair/CPRet)