A topological datasets for bechmarking higher order methods.
Project description
MANTRADataset
Structure
mantra Contains the code for the dataset definition for PyTorch Geometric.
dataprocessing Contains the code to publish the dataset to a github release, including the preprocessing scripts. NOTE: We might want to move this to another folder, or rename.
Dataset
The raw datasets, consisting of the 2 and 3 manifolds with up to 10 vertices, can be downloaded under releases. A pytorch geometric wrapper for the dataset is installable via the following command.
pip install "git+https://github.com/aidos-lab/MANTRADataset/#subdirectory=mantra"
After installation the dataset can be used with the follwing snippet.
from mantra.simplicial import SimplicialDataset
dataset = SimplicialDataset(root="./data", manifold="2")
Warning Since the repository is private, the dataset can not download the data from the github release due to access restrictions. Hence one has to manually download the "2_manifolds.json.gz" or "3_manifolds.json.gz" to the raw folder for the code to run correctly.
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