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# SynPAT: Synthetic Physical Theories with Data
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This dataset
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- Number of derivatives: 2 to 4
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- Number of equations: 4 to 6
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- Numerical data (`system.dat`)
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- Replacements (`replacement_*.txt`)
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- Consequences (`consequence.txt`, `consequence.dat`)
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- Noisy variants for each noise level (`*_0.001.dat`, ..., `*_0.1.dat`)
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## File structure
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## License
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# SynPAT: Generating Synthetic Physical Theories with Data
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This is the Hugging Face dataset entry for **SynPAT**, a synthetic theory and data generation system developed for the paper:
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**SynPAT: Generating Synthetic Physical Theories with Data**
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GitHub: [https://github.com/jlenchner/theorizer](https://github.com/jlenchner/theorizer)
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SynPAT generates symbolic physical systems and corresponding synthetic data to benchmark symbolic regression and scientific discovery algorithms. Each synthetic system includes symbolic equations, dimensionally consistent variables/constants, algebraic consequences, and both clean and noisy datasets.
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---
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## Dataset Structure
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The dataset is organized hierarchically by configuration and system index:
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```
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dataset/{config}/System_{n}/
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```
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Where:
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- `{v}` ∈ {6, 7, 8, 9} is the number of symbolic variables
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- `{d}` ∈ {2, 3, 4} is the number of derivatives (among the symbolic variables)
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- `{e}` ∈ {4, 5, 6} is the number of equations in the system
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- `{n}` ∈ {1, 2, 3} indexes the individual system instances per configuration
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Each `System_{n}` directory contains exactly 18 files:
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### Symbolic System and Consequence:
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- `system.txt` — base symbolic system with metadata including variable types, units, constants, and equations
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- `consequence.txt` — derived consequence equation (single polynomial) with associated metadata
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### Clean Data:
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- `system.dat` — clean numerical dataset corresponding to `system.txt`
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- `consequence.dat` — clean data for the consequence polynomial
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### Noisy Data:
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For each noise level ε ∈ {0.001, 0.01, 0.05, 0.1}, the following files are included:
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- `system_ε.dat` — noisy system data with Gaussian noise of standard deviation ε
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- `consequence_ε.dat` — noisy consequence data with Gaussian noise of standard deviation ε
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This results in:
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- 4 `system_ε.dat` files
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- 4 `consequence_ε.dat` files
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### Replacement Systems:
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- `replacement_1.txt` through `replacement_5.txt` — versions of `system.txt` where one axiom has been replaced, used for consequence prediction benchmarking under ablation.
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### Summary of File Count per System:
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- 2 base files: `system.txt`, `consequence.txt`
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- 2 clean data files: `system.dat`, `consequence.dat`
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- 8 noisy data files: `system_ε.dat`, `consequence_ε.dat` for 4 ε values
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- 5 replacement files: `replacement_1.txt` through `replacement_5.txt`
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**Total per system:** 2 + 2 + 8 + 5 = **17 files**
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Each configuration folder (`vars_{v}_derivs_{d}_eqns_{e}`) contains exactly three systems: `System_1`, `System_2`, `System_3`.
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The full dataset spans all 4 × 3 × 3 = **36 configurations**, totaling **108 systems** and **1836 files**.
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## File Format Example
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### system.txt
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`system.txt` contains the symbolic system, including variables, constants, derivatives, equations, and units:
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```text
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Variables: ['Fc', 'Fg', 'W', 'd1', 'd2', 'm1']
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Constants: ['G', 'c']
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Derivatives: ['dx1dt', 'd2x1dt2', 'dx2dt']
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Equations:
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dx1dt*dx2dt*d2*m1 - W*d1
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d2x1dt2*W*m1 - Fc*Fg*d1
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2*c*Fg + dx2dt*Fc - dx2dt*Fg
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G*d2x1dt2*d2*m1 + G*Fc*d2 - G*W + 4*d2x1dt2*dx1dt^2*d1^2
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-d2x1dt2*Fc*m1 + d2x1dt2*Fg*m1 + Fc*Fg
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Units of Measure of Variables: ['s^(-2)*kg*m', 's^(-2)*kg*m', 'm^2*s^(-2)*kg', 'm', 'm', 'kg']
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Units of Measure of Constants: ['1/kg*m^3*s^(-2)', '1/s*m']
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Units of Measure of Derivatives: ['1/s*m', 's^(-2)*m', '1/s*m']
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Units of Measure of Equations:
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m^3*s^(-2)*kg
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kg^2*m^3*s^(-4)
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m^2*s^(-3)*kg
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m^5*s^(-4)
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kg^2*m^2*s^(-4)
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```
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### consequence.txt
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`consequence.txt` includes **additional metadata** for data generation and symbolic regression tasks:
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```text
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Variables: ['Fc', 'Fg', 'W', 'd1', 'd2', 'm1']
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Constants: ['G', 'c']
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Derivatives: ['dx1dt', 'd2x1dt2', 'dx2dt']
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Equations:
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dx1dt*dx2dt*d2*m1 - W*d1
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d2x1dt2*W*m1 - Fc*Fg*d1
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2*c*Fg + dx2dt*Fc - dx2dt*Fg
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G*d2x1dt2*d2*m1 + G*Fc*d2 - G*W + 4*d2x1dt2*dx1dt^2*d1^2
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-d2x1dt2*Fc*m1 + d2x1dt2*Fg*m1 + Fc*Fg
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Units of Measure of Variables: ['s^(-2)*kg*m', 's^(-2)*kg*m', 'm^2*s^(-2)*kg', 'm', 'm', 'kg']
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Units of Measure of Constants: ['1/kg*m^3*s^(-2)', '1/s*m']
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Units of Measure of Derivatives: ['1/s*m', 's^(-2)*m', '1/s*m']
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Units of Measure of Equations:
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m^3*s^(-2)*kg
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kg^2*m^3*s^(-4)
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m^2*s^(-3)*kg
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m^5*s^(-4)
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kg^2*m^2*s^(-4)
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Measured Variables: ['d1', 'Fg', 'm1', 'W']
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Observed Constants: []
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Measured Derivatives: ['d2x1dt2']
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Target Polynomial:
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d1*m1*d2x1dt2*Fg^2 - m1^2*d2x1dt2^2*W + m1*d2x1dt2*W*Fg
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```
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### replacement_i.txt
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`replacement_i.txt` has the same format as `system.txt` but with one axiom replaced by a different, dimensionally consistent axiom
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```text
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Variables: ['Fc', 'Fg', 'W', 'd1', 'd2', 'm1']
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Constants: ['G', 'c']
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Derivatives: ['dx1dt', 'd2x1dt2', 'dx2dt']
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Equations:
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dx1dt*dx2dt*d2*m1 - W*d1
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>>> c*Fc*d2 + c*Fg*d1 - dx1dt*Fg*d1 + dx2dt*Fg*d2 + dx2dt*W <<<
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2*c*Fg + dx2dt*Fc - dx2dt*Fg
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G*d2x1dt2*d2*m1 + G*Fc*d2 - G*W + 4*d2x1dt2*dx1dt^2*d1^2
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-d2x1dt2*Fc*m1 + d2x1dt2*Fg*m1 + Fc*Fg
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Units of Measure of Variables: ['s^(-2)*kg*m', 's^(-2)*kg*m', 'm^2*s^(-2)*kg', 'm', 'm', 'kg']
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Units of Measure of Constants: ['1/kg*m^3*s^(-2)', '1/s*m']
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Units of Measure of Derivatives: ['1/s*m', 's^(-2)*m', '1/s*m']
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Units of Measure of Equations:
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m^3*s^(-2)*kg
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m^3*s^(-3)*kg
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m^2*s^(-3)*kg
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m^5*s^(-4)
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kg^2*m^2*s^(-4)
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```
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### Data Files
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Each `.dat` file contains rows of numerical data corresponding to samples used for learning or evaluation. Each row represents one data point.
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**system_0.1.dat** (first few rows of noisy system data):
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```text
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1.925664644193098241e+00 2.872700594236812677e+00 ...
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```
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**Header of .dat files**:
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```text
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G c dx1dt d2x1dt2 dx2dt Fc W d1 Fg m1 d2
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1.000000 1.0000000 ......
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```
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- `system.dat` and its noisy versions (`system_0.001.dat`, `system_0.01.dat`, `system_0.05.dat`, `system_0.1.dat`) contain all variables, constants, and derivatives used in the full symbolic system. The data columns follow the same fixed order shown in the header.
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- `consequence.dat` and its noisy versions (`consequence_0.001.dat`, `consequence_0.01.dat`, etc.) contain only the subset of constants, derivatives, and variables needed to evaluate the consequence polynomial in `consequence.txt`. The columns are ordered as: constants first, followed by any measured derivatives, and then the measured variables.
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---
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## Authors
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- **Karan Srivastava** — University of Wisconsin-Madison (ksrivastava4@wisc.edu)
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- **Jonathan Lenchner** — IBM T.J. Watson Research Center (lenchner@us.ibm.com)
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- **Joao Goncalves** — IBM T.J. Watson Research Center (jpgoncal@us.ibm.com)
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- **Lior Horesh** — IBM T.J. Watson Research Center (lhoresh@us.ibm.com)
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---
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## License
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MIT License
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---
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For issues, questions, or contributions, please visit:
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[https://github.com/jlenchner/theorizer](https://github.com/jlenchner/theorizer)
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