| # Nebula: Code Generation through Natural Language Understanding | |
| <p align="left"> | |
| 📑 <a href="https://huggingface.co/papers/yyyy.yyyyy" target="_blank">Paper</a>    |    🌐 <a href="https://nebula-codegen.github.io/" target="_blank">Project Page</a>    |    💾 <a href="https://huggingface.co/collections/toolevalxm/nebula-67b978e28fd926b56a4f55a3" target="_blank">Released Resources</a>    |    📦 <a href="https://github.com/xmhtoolathlon/Nebula-ModelForge" target="_blank">Repo</a> | |
| We release the base training data for our Nebula code generation models, curated from the original CodeSearchNet corpus maintained by the GitHub research team. | |
| The data format for each line in the `train_code_v3.jsonl` is as follows: | |
| ``` | |
| { | |
| "code_snippet": <the original code snippet>, | |
| "docstring": <the natural language documentation>, | |
| "language": <programming language identifier>, | |
| "func_name": <the function name>, | |
| "repo": <source repository name>, | |
| "path": <file path in original repository>, | |
| "metadata": <additional context information> | |
| } | |
| ``` | |
| Some entries have truncated docstrings due to maximum length constraints during preprocessing. | |
| *Note: We filtered samples based on code quality metrics. Future versions may include additional quality annotations. | |
| **License** | |
| The license for this dataset is MIT. |