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# 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. |