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# DataBack: Dataset of SAT Formulas and Backbone Variable Phases |
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## What is DataBack |
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`DataBack` is a dataset that consists of 120,286 SAT formulas (in CNF format), each labeled with the phases of its backbone variables. |
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`DataBack` contains two distinct subsets: the pre-training set, named `DataBack-PT`, and the fine-tuning set, named `DataBack-FT`, for pre-training and fine-tuning our `NeuroBack` model, respectively. To learn more about `NeuroBack` and `DataBack`, please refer to our [`NeuroBack paper`](https://arxiv.org/pdf/2110.14053.pdf). |
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The state-of-the-art backbone extractor, [`CadiBack`](https://github.com/arminbiere/cadiback), has been employed to extract the backbone variable phases. To learn more about `CadiBack`, please refer to the [`CadiBack paper`](https://wenxiwang.github.io/papers/cadiback.pdf). |
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## Directory Structure |
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``` |
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|- original # Original CNF formulas and their backbone variable phases |
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| |- cnf_pt.tar.gz # CNF formulas for pre-training |
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| |- bb_pt.tar.gz # Backbone phases for pre-training formulas |
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| |- cnf_ft.tar.gz # CNF formulas for fine-tuning |
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| |- bb_ft.tar.gz # Backbone phases for fine-tuning formulas |
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|- dual # Dual CNF formulas and their backbone variable phases |
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| |- d_cnf_pt.tar.gz # Dual CNF formulas for pre-training |
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| |- d_bb_pt.tar.gz # Backbone phases for dual pre-training formulas |
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| |- d_cnf_ft.tar.gz # Dual CNF formulas for fine-tuning |
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| |- d_bb_ft.tar.gz # Backbone phases for dual fine-tuning formulas |
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``` |
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## File Naming Convention |
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In the original directory, each CNF tar file (**`cnf_*.tar.gz`**) contains compressed CNF files named: **`[cnf_name].[compression_format]`**, where **`[compression_format]`** could be bz2, lzma, xz, gz, etc. Correspondingly, each backbone tar file (**`bb_*.tar.gz`**) comprises compressed backbone files named: **`[cnf_name].backbone.xz`**. It is important to note that a compressed CNF file will always share its **`[cnf_name]`** with its associated compressed backbone file. |
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For dual formulas and their corresponding backbone files, the naming convention remains consistent, but with an added **`d_`** prefix. |
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## Format of the Extracted Backbone File |
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The extracted backbone file (`*.backbone`) adheres to the output format of [`CadiBack`](https://github.com/arminbiere/cadiback). |
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## References |
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If you use `DataBack` in your research, please kindly cite the following papers. |
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[`NeuroBack paper`](https://arxiv.org/pdf/2110.14053.pdf): |
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```bib |
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@article{wang2023neuroback, |
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author = {Wang, Wenxi and |
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Hu, Yang and |
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Tiwari, Mohit and |
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Khurshid, Sarfraz and |
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McMillan, Kenneth L. and |
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Miikkulainen, Risto}, |
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title = {NeuroBack: Improving CDCL SAT Solving using Graph Neural Networks}, |
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journal={arXiv preprint arXiv:2110.14053}, |
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year={2021} |
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} |
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``` |
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[`CadiBack paper`](https://wenxiwang.github.io/papers/cadiback.pdf): |
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```bib |
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@inproceedings{biere2023cadiback, |
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title={CadiBack: Extracting Backbones with CaDiCaL}, |
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author={Biere, Armin and Froleyks, Nils and Wang, Wenxi}, |
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booktitle={26th International Conference on Theory and Applications of Satisfiability Testing (SAT 2023)}, |
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year={2023}, |
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organization={Schloss Dagstuhl-Leibniz-Zentrum f{\"u}r Informatik} |
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} |
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``` |
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## Contributors |
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Wenxi Wang (wenxiw@utexas.edu), Yang Hu (huyang@utexas.edu) |
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