Model Counting Competition 2020: Competition Instances
<p>Instances for the Model Counting Competition 2020</p> <p>- Track 1 (Model Counting)<br>- Track 2 (Weighted Model Counting)<br>- Track 3 (Projected Model Counting)</p> <p><br>The even instances (trackX_000.mcc2020_cnf, trackX_000.mcc2020_cnf, ...) were made public for all participants during the testing phase of the solvers, whereas the private instances (trackX_001.mcc2020_cnf, trackX_003.mcc2020_cnf, ...) were used for the final evaluation and disclosed after the submission. For details, we refer to: <a href="https://mccompetition.org/2020/mc_description">https://mccompetition.org/2020/mc_description</a>.<br>Instances originate from various publicly available data sets and submissions made after a call for benchmarks. The full instances from which we selected is available on Zenodo under Model Counting Competition 2020: Full Instance Set.<br>For details, see the MCC2020 report (Fichte, Hecher, Hamiti: The Model Counting Competition 2020).</p> <p>2023-10-22 (v3): Updated instances to the most recent competition format (MC2021).</p>
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