VFDelta Vulnerability Fix Dataset
<p>The vulnerability fix dataset of VFDelta contains two datasets used in our study: VFM_2021 and VFM_2023. Refer to our paper for the detail of dataset. We are working on model publishing; please always check for the <strong>newer</strong> <strong>version</strong>.</p> <ul> <li>vfm_2021_train_val.parquet</li> <li>vfm_2021_test.parquet</li> <li>vfm_2023_train_val.parquet</li> <li>vfm_2023_test.parquet</li> <li>eval_vfdelta.ipynb</li> </ul> <p>The commit-level dataset provides meta information of "repo_name", "commit_id", "label". train_val file contains "partition" for the split of training and validation set, and test file contains "vfdelta_predict_proba" which is the predict probability of each commit by VFDelta. </p> <p>To evaluate VFDelta's performance on vfm_2021 and vfm_2023, run <code>eval_vfdelta.ipynb</code>, use the column vfdelta_predict_proba as our prediction result. You can also use them to compare the performance of your prediction results with VFDelta's.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0