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Django Dataset for Code Translation Tasks |
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*Django* dataset used in the paper |
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[*"Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation"*](http://ieeexplore.ieee.org/document/7372045/), |
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Oda et al., ASE, 2015. |
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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. |
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```bibtex |
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@inproceedings{oda2015ase:pseudogen1, |
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author = {Oda, Yusuke and Fudaba, Hiroyuki and Neubig, Graham and Hata, Hideaki and Sakti, Sakriani and Toda, Tomoki and Nakamura, Satoshi}, |
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title = {Learning to Generate Pseudo-code from Source Code Using Statistical Machine Translation}, |
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booktitle = {Proceedings of the 2015 30th IEEE/ACM International Conference on Automated Software Engineering (ASE)}, |
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series = {ASE '15}, |
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month = {November}, |
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year = {2015}, |
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isbn = {978-1-5090-0025-8}, |
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pages = {574--584}, |
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numpages = {11}, |
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url = {https://doi.org/10.1109/ASE.2015.36}, |
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doi = {10.1109/ASE.2015.36}, |
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acmid = {2916173}, |
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publisher = {IEEE Computer Society}, |
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address = {Lincoln, Nebraska, USA} |
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} |
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``` |
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