Datasets for: Semantic Robustness of Models of Source Code

Bibliographic Details
Title: Datasets for: Semantic Robustness of Models of Source Code
Authors: Goutham Ramakrishnan, Jordan Henkel, Zi Wang, Aws Albarghouthi, Somesh Jha, Thomas Reps
Publisher Information: Zenodo
Publication Year: 2020
Collection: Zenodo
Subject Terms: Adversarial Machine Learning, Semantics Preserving Transformations, Java Programs, Python Programs
Description: Datasets for Semantic Robustness of Models of Source Code. Includes the c2s/java-small, csn/java, csn/python, and sri/py150 in the following representations: Raw [in raw.tar.gz] Normalized [in normalized.tar.gz] Pre-processed (ast-paths and tokens) [in preprocessed.tar.gz] Transformed [in transformed.tar.gz] Normalized transforms.All transforms.ShuffleLocalVariables transforms.ShuffleParameters transforms.RenameLocalVariables transforms.RenameFields transforms.RenameParameters transforms.ReplaceTrueFalse transforms.InsertPrintStatements transforms.Identity Pre-processed (ast-paths and tokens) transforms.Identity transforms.InsertPrintStatements transforms.ReplaceTrueFalse transforms.RenameParameters transforms.RenameFields transforms.RenameLocalVariables transforms.ShuffleParameters transforms.ShuffleLocalVariables transforms.All
Document Type: dataset
Language: unknown
Relation: https://zenodo.org/records/3659217; oai:zenodo.org:3659217; https://doi.org/10.5281/zenodo.3659217
DOI: 10.5281/zenodo.3659217
Availability: https://doi.org/10.5281/zenodo.3659217
https://zenodo.org/records/3659217
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.A61649E3
Database: BASE
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