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README.md
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# GeomCAD
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A procedural benchmark of executable CAD programs paired with
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generative operations — **extrude**, **revolve**, **sweep**, and **loft** — at roughly one million
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samples per operation. Every numerical literal in every program is an integer in `[0, 1000]`, 1,001 levels, which
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makes exact parameter-level comparison (Parameter Exact Match) well defined rather than approximate.
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## Integer parameters
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Numeric literals are min–max normalised per script and rewritten as integers in `[0, 1000]`,
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comparing against float-parameter baselines) are the result of applying the per-script inverse map,
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and are therefore real-valued even though the program literals are not.
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| **total** | **3,995,521** | **4,661** | **6,000** | **4,006,182** |
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Training and validation come from each operation's procedural pool; the test split is generated
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independently through the same pipeline
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1,500 for extrude and smaller elsewhere because those held-out sets were carved from
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multi-operation training mixtures and only the rows belonging to each operation are kept here.
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# GeomCAD
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A procedural benchmark of executable CAD programs paired with triangle meshes, spanning four
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generative operations — **extrude**, **revolve**, **sweep**, and **loft** — at roughly one million
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samples per operation. Every numerical literal in every program is an integer in `[0, 1000]`, 1,001 levels, which
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makes exact parameter-level comparison (Parameter Exact Match) well defined rather than approximate.
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## Integer parameters
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Numeric literals are min–max normalised per script and rewritten as integers in `[0, 1000]`, so
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every parameter a model must predict is drawn from one 1,001-level grid. The extent of the
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resulting solid is a consequence of the operation applied and is not itself constrained to that
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range; revolving a profile about an axis, for instance, carries it to the far side and spans about
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twice the profile radius by construction. Physical dimensions reported elsewhere (for example in figures
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comparing against float-parameter baselines) are the result of applying the per-script inverse map,
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and are therefore real-valued even though the program literals are not.
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| **total** | **3,995,521** | **4,661** | **6,000** | **4,006,182** |
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Training and validation come from each operation's procedural pool; the test split is generated
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independently through the same pipeline. Overlap at the level of sample indices is exactly zero. At
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the stricter level of program text, 15 training rows reproduce a test program (revolve 1, sweep 14)
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and one reproduces a validation program; they are listed in `REPRODUCIBILITY.md` and removed by the
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audit shipped with the corpus. Validation is
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1,500 for extrude and smaller elsewhere because those held-out sets were carved from
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multi-operation training mixtures and only the rows belonging to each operation are kept here.
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