| --- |
| license: mit |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| dataset_info: |
| features: |
| - name: method |
| dtype: string |
| - name: clean_method |
| dtype: string |
| - name: doc |
| dtype: string |
| - name: comment |
| dtype: string |
| - name: method_name |
| dtype: string |
| - name: extra |
| struct: |
| - name: repo_name |
| dtype: string |
| - name: path |
| dtype: string |
| - name: license |
| dtype: string |
| - name: size |
| dtype: int64 |
| - name: imports |
| sequence: string |
| - name: imports_info |
| dtype: string |
| - name: cluster_imports_info |
| dtype: string |
| - name: libraries |
| sequence: string |
| - name: libraries_info |
| dtype: string |
| - name: id |
| dtype: int64 |
| splits: |
| - name: train |
| num_bytes: 5373034269 |
| num_examples: 2916582 |
| download_size: 2492962682 |
| dataset_size: 5373034269 |
| tags: |
| - code-generation |
| pretty_name: 'CodeGen4Libs ' |
| size_categories: |
| - 1M<n<10M |
| --- |
| |
| # Dataset Card for FudanSELab CodeGen4Libs Code Retrieval Library |
|
|
| ## Dataset Description |
|
|
| - **Repository:** [GitHub Repository](https://github.com/FudanSELab/codegen4libs) |
| - **Paper:** [CodeGen4Libs: A Two-stage Approach for Library-oriented Code Generation](https://mingwei-liu.github.io/publication/2023-08-18-ase-CodeGen4Libs) |
|
|
| ### Dataset Summary |
|
|
| This dataset is the code retrieval library used in the ASE2023 paper titled ["CodeGen4Libs: A Two-stage Approach for Library-oriented Code Generation"](https://mingwei-liu.github.io/publication/2023-08-18-ase-CodeGen4Libs). |
|
|
| ## Additional Information |
| ### Citation Information |
| ``` |
| @inproceedings{ase2023codegen4libs, |
| author = {Mingwei Liu and Tianyong Yang and Yiling Lou and Xueying Du and Ying Wang and and Xin Peng}, |
| title = {{CodeGen4Libs}: A Two-stage Approach for Library-oriented Code Generation}, |
| booktitle = {38th {IEEE/ACM} International Conference on Automated Software Engineering, |
| {ASE} 2023, Kirchberg, Luxembourg, September 11-15, 2023}, |
| pages = {0--0}, |
| publisher = {{IEEE}}, |
| year = {2023}, |
| } |
| ``` |