| # CodeAssist: Code Generation Research Project | |
| <p align="left"> | |
| 📑 <a href="https://huggingface.co/papers/xxxx.xxxxx" target="_blank">Paper</a>    |    🌐 <a href="https://codeassist.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/toolevalxm/codeassist-resources" target="_blank">Released Resources</a>    |    📦 <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. |