---
license: mit
language:
- en
size_categories:
- 1K<n<10K
---

## Dataset Details

### Dataset Description
This dataset contains causal sets of types 
- layered
- embedded in polynomial monifold with complex cuts
- embedded in polynomial manifold
- random (random DAG fullfilling the cset requirements)
- grid-like with different cells (hexagonal, rhombic, triangular, rectangular, rhombic, oblique)
- merged (random and polynomial)
- destroyed (polynomial dataset with some edges being flipped randomly)

- **License:** MIT

## Uses
Used to train models for classifying and encoding causal sets.

### Direct Use
- 

## Dataset Structure
The zip file contains: 
- a zarr store for each type of causal sets
- a .yaml config file for each that defines all parameters used to create the data. This includes data about the git commit and branch used. 
- a julia script `create_data.jl` that has been used to create the data


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[More Information Needed]

#### Personal and Sensitive Information
None 

## Bias, Risks, and Limitations
None

## Dataset Card Contact
harald.mack@iwr.uni-heidelberg.de