Raw Python and Java datasets
Abstract/Contents
- Abstract
- Raw Python and Java datasets used for the paper "Learning Representations of Source Code from Structure and Context"
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | January 2019 - June 2019 |
Creators/Contributors
| Author | Bourgeois, Dylan | |
|---|---|---|
| Author | Catasta, Michele |
Subjects
| Subject | Python |
|---|---|
| Subject | Java |
| Subject | source code |
| Genre | Dataset |
Bibliographic information
| Related Publication | Bourgeois, Dylan and Catasta, Michele and Defferrard, Michaël and Leskovec, Jure and Vandergheynst, Pierre. (2020). Learning Representations of Source Code from Structure and Context. Master's Thesis. École Polytechnique Fédérale de Lausanne. Available at: https://infoscience.epfl.ch/record/277163/ |
|---|---|
| Location | https://purl.stanford.edu/zj784yy0646 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
- License
- This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).
Collection
Contact information
- Contact
- dtsbourg@gmail.com
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