Upload README.md

README.md

@@ -1,12 +1,34 @@
 # DataBack: Dataset of SAT Formulas and Backbone Variable Phases
 
 ## What is DataBack
-`DataBack` is a dataset that consists of SAT formulas in CNF format, each labeled with the phases of its backbone variables. Within `DataBack`, there are two distinct subsets: the pre-training set, named `DataBack-PT`, and the fine-tuning set, named `DataBack-FT`. The state-of-the-art backbone extractor called [`CadiBack`](https://wenxiwang.github.io/papers/cadiback.pdf) has been employed to obtain the backbone variable phases. We have allocated a timeout of 1,000 seconds for the pre-training formulas and 5,000 seconds for the fine-tuning ones due to the increased complexity of the fine-tuning formulas.
+`DataBack` is a dataset that consists of 120,286 SAT formulas (in CNF format), each labeled with the phases of its backbone variables. 
+`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). 
 
-The `DataBack` dataset has been employed to both pre-train and fine-tune our `NeuroBack` model, which has demonstrated significant improvements in SAT solving efficiency. For an in-depth exploration of `DataBack`, please refer to our [`NeuroBack`](https://arxiv.org/pdf/2110.14053.pdf) or [`CadiBack`](https://wenxiwang.github.io/papers/cadiback.pdf) papers.
+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).
 
-## Contributors
-Wenxi Wang ([email protected]), Yang Hu ([email protected])
+
+## Directory Structure
+```
+|- original             # Original CNF formulas and their backbone variable phases
+|    |- cnf_pt.tar.gz   # CNF formulas for pre-training
+|    |- bb_pt.tar.gz    # Backbone phases for pre-training formulas
+|    |- cnf_ft.tar.gz   # CNF formulas for fine-tuning
+|    |- bb_ft.tar.gz    # Backbone phases for fine-tuning formulas
+|
+|- dual                      # Dual CNF formulas and their backbone variable phases
+|    |- dual_cnf_pt.tar.gz   # Dual CNF formulas for pre-training
+|    |- dual_bb_pt.tar.gz    # Backbone phases for dual pre-training formulas
+|    |- dual_cnf_ft.tar.gz   # Dual CNF formulas for fine-tuning
+|    |- dual_bb_ft.tar.gz    # Backbone phases for dual fine-tuning formulas
+```
+
+## File Naming Convention
+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.
+
+In the dual directory, the naming convention remains consistent, but with an added `dual_` prefix for each CNF tar file or backbone tar file, and an `d_` prefix for each compressed CNF or backbone file to indicate that it pertains to a dual CNF formula.
+
+## Format of the Extracted Backbone File 
+The extracted backbone file (`*.backbone`) adheres to the output format of [`CadiBack`](https://github.com/arminbiere/cadiback). 
 
 ## References
 If you use `DataBack` in your research, please kindly cite the following papers.
@@ -36,26 +58,5 @@ If you use `DataBack` in your research, please kindly cite the following papers.
   organization={Schloss Dagstuhl-Leibniz-Zentrum f{\"u}r Informatik}
 }
 ```
-
-## Directory Structure
-```
-|- original             # Original SAT formulas and their backbone variable phases
-|    |- cnf_pt.tar.gz   # SAT formulas (in CNF format) for model pre-training
-|    |- bb_pt.tar.gz    # Backbone phases for pre-training formulas
-|    |- cnf_ft.tar.gz   # SAT formulas (in CNF format) for model fine-tuning
-|    |- bb_ft.tar.gz    # Backbone phases for fine-tuning formulas
-|
-|- dual                      # Dual SAT formulas and their backbone variable phases
-|    |- dual_cnf_pt.tar.gz   # Dual SAT formulas (in CNF format) for model pre-training
-|    |- dual_bb_pt.tar.gz    # Backbone phases for dual pre-training CNFs
-|    |- dual_cnf_ft.tar.gz   # Dual SAT formulas (in CNF format) for model fine-tuning
-|    |- dual_bb_ft.tar.gz    # Backbone phases for dual fine-tuning CNFs
-```
-
-## File Naming Convention
-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.
-
-In the dual directory, the naming convention remains consistent, but with an added `dual_` prefix for each CNF tar file or backbone tar file, and an `d_` prefix for each compressed CNF or backbone file to indicate that it pertains to a dual SAT formula.
-
-## Format of the Extracted Backbone File 
-The extracted backbone file (`*.backbone`) adheres to the output format of [`CadiBack`](https://wenxiwang.github.io/papers/cadiback.pdf). Specifically, each line contains the letter 'b' followed by an integer. This integer represents the backbone variable ID and its associated phase.
+## Contributors
+Wenxi Wang ([email protected]), Yang Hu ([email protected])