| 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} | |
| } | |
| ``` | |