--- license: mit task_categories: - other tags: - physics - string-theory - calabi-yau - algebraic-geometry - triangulation size_categories: - 10Mvert counts the origin, so folder `9+1` is the paper's Nvert = 10. | Folder | h1,1 | Train | Val | Test | Size | Sampling | |---|---|---|---|---|---|---| | `9+1` | 5 | 3,897 / 45,416 | 500 / 5,763 | 500 / 5,535 | 20 MB | exhaustive | | `10+1` | 6 | 14,608 / 513,973 | 1,000 / 36,213 | 1,000 / 34,095 | 242 MB | exhaustive | | `11+1` | 7 | 42,221 / 5,266,151 | 3,000 / 347,784 | 3,000 / 376,398 | 2.88 GB | exhaustive | | `12+1` | 8 | 7,425 / 3,751,111 | 1,000 / 503,231 | 1,000 / 488,398 | 2.60 GB | exhaustive | | `13+1` | 9 | 16,727 / 4,386,161 | 1,000 / 260,805 | 1,000 / 258,880 | 3.03 GB | fast sampler, ≤300 per polytope | | `14+1` | 10 | 16,486 / 4,815,210 | 1,000 / 291,089 | 1,000 / 291,313 | 3.72 GB | fast sampler, ≤300 per polytope | Train / val / test columns are *polytopes / pairs*. **Every count above was measured from the files**, not taken from filenames. Splits are per-polytope, so no polytope appears in more than one split. ## Format Six files per folder — `{polys,triangs}_{train,val,test}` — as plain JSON lists of `[POLYID, STRING]` records. Row *i* of the polys file pairs with row *i* of the triangs file, so a polytope is repeated once per triangulation. ```json polys: [3081, "{{0,1,0,0},{1,0,0,0},{-3,-2,-1,-1},{0,0,0,1},{0,0,1,0},{-2,0,-1,0},{-1,0,1,-1},{-1,1,0,0},{-2,-1,0,-1}}"] triangs: [3081, "{{0,1,2,5},{0,1,2,8},{0,1,3,4},{0,1,3,5},{0,1,4,6},{0,1,6,8},{0,2,5,8},...}"] ``` A **polytope** is its list of vertices in ℤ⁴ (`DRESVERTS`). A **triangulation** is its list of 4-simplices, each given as indices into that vertex list. Polytopes are *favorable* — vertex count equals lattice-point count minus the origin. Because each polytope is duplicated once per triangulation, these files compress extremely well (the polys files by more than 100×). ## Usage ```python from huggingface_hub import hf_hub_download p = hf_hub_download("jhtyip/cytransformer-frst-datasets", "9+1/9+1_polys_train.json", repo_type="dataset") t = hf_hub_download("jhtyip/cytransformer-frst-datasets", "9+1/9+1_triangs_train.json", repo_type="dataset") ``` They feed `cyt-train` directly — the files are already split, so no preparation step is needed. ## Provenance Generated with [CYTools](https://cy.tools) from the Kreuzer–Skarke database. Configurations `9+1`–`12+1` enumerate triangulations exhaustively; `13+1` and `14+1` use a fast sampler capped at 300 triangulations per polytope, since exhaustive enumeration is infeasible at that size. Published filenames drop the polytope counts that appeared in the original working filenames — those counts referred to scan ranges and configured limits rather than file contents, and did not match the data. The measured counts are in the table above. ## Citation ```bibtex @article{Yip:2025hon, author = {Yip, Jacky H. T. and Arnal, Charles and Charton, Fran\c{c}ois and Shiu, Gary}, title = {Transforming Calabi-Yau Constructions: Generating New Calabi-Yau Manifolds with Transformers}, journal = {arXiv e-prints}, eprint = {2507.03732}, year = {2025}, doi = {10.48550/arXiv.2507.03732} } ``` MIT licensed. Department of Physics, University of Wisconsin–Madison.