# CodeAssist: Code Generation Research Project

<p align="left">
    📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a> &nbsp&nbsp | &nbsp&nbsp 🌐 <a href="https://codeassist.github.io/" target="_blank">Project Page</a> &nbsp&nbsp | &nbsp&nbsp 💾 <a href="https://huggingface.co/collections/toolevalxm/codeassist-resources" target="_blank">Released Resources</a> &nbsp&nbsp | &nbsp&nbsp 📦 <a href="https://github.com/xmhtoolathlon/Annoy-DataSync" target="_blank">Repo</a> 

We release the raw code data for our CodeAssist project, adopted from the original dataset from CodeParrot team.

The data format for each line in the `code_samples_filtered.jsonl` is as follows:

```
{
  "code": <the source code content>,
  "language": <programming language>,
  "repo_name": <original repository name>,
  "path": <file path in original repo>,
  "license": <license of the original repository>,
  "size": <file size in bytes>,
  "meta": <additional metadata>
}
```

This dataset contains filtered Python code samples extracted from the codeparrot/github-code-clean dataset, a filtered collection of permissively licensed code from GitHub.

*Note: Some samples may have incomplete metadata due to filtering during the extraction process.

**License**

The license for this dataset is Apache-2.0.