|
--- |
|
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 |
|
|
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## 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}, |
|
} |
|
``` |