AhmedSSoliman/DJANGO
收藏Hugging Face2022-08-14 更新2024-03-04 收录
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资源简介：
Django Dataset for Code Translation Tasks
=========================================
*Django* dataset used in the paper
[*"Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation"*](http://ieeexplore.ieee.org/document/7372045/),
Oda et al., ASE, 2015.
The Django dataset is a dataset for code generation comprising of 16000 training, 1000 development and 1805 test annotations. Each data point consists of a line of Python code together with a manually created natural language description.
```bibtex
@inproceedings{oda2015ase:pseudogen1,
author = {Oda, Yusuke and Fudaba, Hiroyuki and Neubig, Graham and Hata, Hideaki and Sakti, Sakriani and Toda, Tomoki and Nakamura, Satoshi},
title = {Learning to Generate Pseudo-code from Source Code Using Statistical Machine Translation},
booktitle = {Proceedings of the 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)},
series = {ASE '15},
month = {November},
year = {2015},
isbn = {978-1-5090-0025-8},
pages = {574--584},
numpages = {11},
url = {https://doi.org/10.1109/ASE.2015.36},
doi = {10.1109/ASE.2015.36},
acmid = {2916173},
publisher = {IEEE Computer Society},
address = {Lincoln, Nebraska, USA}
}
```
提供机构：
AhmedSSoliman
原始信息汇总
Django Dataset for Code Translation Tasks
基本信息
- 数据集名称: Django
- 用途: 代码生成任务
- 来源论文: 《Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation》, Oda et al., ASE, 2015.
数据集详情
- 数据量:
- 训练集: 16000个样本
- 开发集: 1000个样本
- 测试集: 1805个样本
- 数据结构: 每个数据点包含一行Python代码及相应的手动创建的自然语言描述。
引用信息
bibtex @inproceedings{oda2015ase:pseudogen1, author = {Oda, Yusuke and Fudaba, Hiroyuki and Neubig, Graham and Hata, Hideaki and Sakti, Sakriani and Toda, Tomoki and Nakamura, Satoshi}, title = {Learning to Generate Pseudo-code from Source Code Using Statistical Machine Translation}, booktitle = {Proceedings of the 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)}, series = {ASE 15}, month = {November}, year = {2015}, isbn = {978-1-5090-0025-8}, pages = {574--584}, numpages = {11}, url = {https://doi.org/10.1109/ASE.2015.36}, doi = {10.1109/ASE.2015.36}, acmid = {2916173}, publisher = {IEEE Computer Society}, address = {Lincoln, Nebraska, USA} }
