GLIB: image dataset
<p>data/images:</p> <ul> <li><em>data/images/Base</em> : 132 screenshots of game1 & game2 with UI display issues from 466 test reports.</li> <li><em>data/images/Code</em> : 9,412 screenshots of game1 & game2 with UI display issues generated by our Code augmentation method.</li> <li><em>data/images/Normal</em>: 7,750 screenshots of game1 & game2 without UI display issues collected by randomly traversing the game scene.</li> <li><em>data/images/Rule(F)</em> : 7,750 screenshots of game1 & game2 with UI display issues generated by our Rule(F) augmentation method.</li> <li><em>data/images/Rule(R)</em> : 7,750 screenshots of game1 & game2 with UI display issues generated by our Rule(R) augmentation method.</li> <li><em>data/images/testDataSet</em> : 192 screenshots with UI display issues from 466 test reports(exclude game1 & game2).</li> </ul> <p>data/data_csv:</p> <ul> <li><em>data/data_csv/Base</em> : dataset for baseline method.</li> <li><em>data/data_csv/Code</em> : dataset for our Code Augmentation method.</li> <li><em>data/data_csv/Rule(F)</em> : dataset for our Rule(F) Augmentation method.</li> <li><em>data/data_csv/Rule(R)</em> : dataset for our Rule(R) Augmentation method.</li> <li><em>data/data_csv/Code_plus_Rule(F)</em> : dataset for our Code&Rule(F) Augmentation method.</li> <li><em>data/data_csv/Code_plus_Rule(R)</em> : dataset for our Code&Rule(R) Augmentation method.</li> <li><em>data/data_csv/testDataSet</em> : test dataset(normal image and real glitch images from 466 test reports).</li> </ul>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 4