zenodoopen
Online repository for Paper "GTE: A Framework for Learning Code AST Representation Efficiently and Effectively"
<p>The online repository for the under review IJCAI2024 paper "<strong>GTE: A Framework for Learning Code AST Representation Efficiently and Effectively</strong>"</p><p><strong>GTE-main.zip</strong> contains the source code of GTE, please see <strong>README.md</strong> in GTE-main.zip<strong> </strong>for more guidance.</p><p><strong>Appendix.pdf </strong>contains more<strong> </strong>details about the dataset and probing task design.</p>
ShareScore
24/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 8
- Reuse readiness
- 8
- Engagement
- 0