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}
}
```

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Django Dataset for Code Translation Tasks
=========================================

*Django* dataset used in the paper
*"Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation"*,
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.




TAGS
#region-us 

passage: TAGS
#region-us 
