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README.md
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---
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license: cc-by-sa-4.0
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pretty_name: Weight Systems Defining Five-Dimensional Reflexive and Non-Reflexive Polyhedra
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configs:
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- config_name: non-reflexive
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data_files:
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- split: full
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path: non-reflexive/*.parquet
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- config_name: reflexive
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data_files:
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- split: full
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path: reflexive/*.parquet
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---
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# Dataset of Weight Systems Defining Five-Dimensional Reflexive and Non-Reflexive Polyhedra
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This dataset contains all weight systems defining five-dimensional reflexive and
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non-reflexive polyhedra, instrumental in the study of Calabi-Yau fourfolds in mathematics
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and theoretical physics. The data was compiled by Friedrich Schöller and Harald Skarke in
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[arXiv:1808.02422](https://arxiv.org/abs/1808.02422). More information is available at the
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[Calabi-Yau data website](http://hep.itp.tuwien.ac.at/~kreuzer/CY/). The dataset can be
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explored using the [search frontend](http://rgc.itp.tuwien.ac.at/fourfolds/).
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## Dataset Details
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The dataset consists of two subsets: weight systems defining reflexive polyhedra and
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weight systems defining non-reflexive polyhedra. Each subset is split into 4000 files in
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Parquet format. Rows within each file are sorted lexicographically by weights.
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Each row in the dataset represents a polyhedron and contains the six weights defining it,
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along with the vertex count, facet count, and lattice point count. The reflexive dataset
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also includes the Hodge numbers \\( h^{1,1} \\), \\( h^{1,2} \\), and \\( h^{1,3} \\) of
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the corresponding Calabi-Yau manifold, and the lattice point count of the dual polyhedron.
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For any Calabi-Yau fourfold, the Euler characteristic \\( \chi \\) and the Hodge number
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\\( h^{2,2} \\) can be derived as follows:
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$$ \chi = 48 + 6 (h^{1,1} − h^{1,2} + h^{1,3}) $$
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$$ h^{2,2} = 44 + 4 h^{1,1} − 2 h^{1,2} + 4 h^{1,3} $$
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This dataset is licensed under the [CC BY-SA 4.0 license](http://creativecommons.org/licenses/by-sa/4.0/).
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### Data Fields
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- `weight0 to weight5:` Weights of the weight system defining the polyhedron.
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- `vertex_count:` Vertex count of the polyhedron.
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- `facet_count:` Facet count of the polyhedron.
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- `point_count:` Lattice point count of the polyhedron.
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- `dual_point_count:` Lattice point count of the dual polyhedron (only for reflexive
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polyhedra).
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- `h11:` Hodge number \\( h^{1,1} \\) (only for reflexive polyhedra).
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- `h12:` Hodge number \\( h^{1,2} \\) (only for reflexive polyhedra).
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- `h13:` Hodge number \\( h^{1,3} \\) (only for reflexive polyhedra).
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## Usage
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The dataset can be used without downloading it entirely, thanks to the streaming
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capability of the `datasets` library. The following Python code snippet demonstrates how
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to stream the dataset and print the first five rows:
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```python
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from datasets import load_dataset
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dataset = load_dataset("cy-data/ws-5d", name="reflexive", split="full", streaming=True)
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for row in dataset.take(5):
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print(row)
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```
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When cloning the Git repository with Git Large File Storage (LFS), data files are stored
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in the Git LFS storage directory, as well as in the working tree. To avoid occupying
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double the disk space, use a filesystem that supports copy-on-write and run the following
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commands to clone the repository:
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```bash
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# Initialize Git LFS
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git lfs install
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# Clone the repository without downloading LFS files immediately
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GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/cy-data/ws-5d
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# Change to the repository directory
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cd ws-5d
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# Test deduplication (optional)
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git lfs dedup --test
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# Download the LFS files
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git lfs fetch
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# Create working tree files as clones of the files in the Git LFS storage directory using
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# copy-on-write functionality
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git lfs dedup
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```
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## Citation
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Please cite the following research paper when referencing this dataset:
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```
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@article{Scholler:2018apc,
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author = {Sch\"oller, Friedrich and Skarke, Harald},
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title = "{All Weight Systems for Calabi-Yau Fourfolds from Reflexive Polyhedra}",
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eprint = "1808.02422",
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archivePrefix = "arXiv",
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primaryClass = "hep-th",
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doi = "10.1007/s00220-019-03331-9",
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journal = "Commun. Math. Phys.",
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volume = "372",
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number = "2",
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pages = "657--678",
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year = "2019"
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}
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```
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