CLAVE

A Deep Learning Model for Source Code Authorship Verification with Contrastive Learning and Transformer Encoders

Here you can download the following elements used in the article CLAVE: A Deep Learning Model for Source Code Authorship Verification with Contrastive Learning and Transformer Encoders:

  • All the source code (and a demonstrating Jypyter notebook) used to build CLAVE (Contrastive Learning for Authorship Verification with Encoder representations).
  • The pre-train and fine-tune datasets created to build CLAVE.
  • The Python binary file with the CLAVE model.
  • The tokenizer and its parameters.

LICENSE

Copyright 2024 (C) Computational Reflection research group, University of Oviedo. All Rights Reserved.

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.