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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