Model Counting Competition 2024: Competition Instances
<div> </div> <div> <p>Instances for the Model Counting Competition 2024</p> <ul> <li>Track 1 (Model Counting)</li> <li>Track 2 (Weighted Model Counting)</li> <li>Track 2b (Weighted Model Counting - bonus track)</li> <li>Track 3 (Projected Model Counting)</li> <li>Track 4 (Projected Weighted Model Counting)</li> </ul> <p><br>The even instances (trackX_000.cnf, trackX_002.cnf, ...) were made public for all participants during the testing phase of the solvers, whereas the private instances (trackX_001.cnf, trackX_003.cnf, ...) were used for the final evaluation and disclosed after the submission. </p> <p>For details, we refer to <a href="https://mccompetition.org/past_iterations">https://mccompetition.org/past_iterations</a>.</p> <p>Instances originate from various publicly available data sets and submissions made after a call for benchmarks. The full instances from which we selected are available on Zenodo under </p> <ul> <li>Model Counting Competition 2020: Full Instance Set</li> <li>Model Counting Competition 2021: Full Instance Set</li> <li>Model Counting Competition 2022: Full Instance Set.</li> <li>Model Counting Competition 2023: Full Instance Set.</li> <li>Model Counting Competition 2024: Full Instance Set.</li> </ul> <p>Details will be made public in the upcoming report.</p> </div>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0