Research output per year
Research output per year
Description
A raw code corpus for the Python programming language i.e., includes only the Python source files of each repository without any preprocessing. The corpus was used to generate the Python training, validation, testing, and BPE encoding sets for the experiments performed in the paper: Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code.
Data Citation
Rafael - Michael Karampatsis, Hlib Babii, Romain Robbes, Charles Sutton, & Andrea Janes. (2020). Raw Python Code Corpus [Data set]. 42nd International Conference on Software Engineering (ICSE 2020), Seoul, South Korea. Zenodo. https://doi.org/10.5281/zenodo.3628784
| Date made available | 27 Jan 2020 |
|---|---|
| Publisher | Zenodo |
Research output
- 1 Conference contribution
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Big Code != Big Vocabulary: Open-Vocabulary Models for Source Code
Karampatsis, R.-M., Babii, H., Robbes, R., Sutton, C. & Janes, A., 27 Jun 2020, ICSE '20: Proceedings of the ACM/IEEE 42nd International Conference on Software Engineering. Association for Computing Machinery (ACM), p. 1073-1085 13 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open AccessFile
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