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README.md
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Traditional generative ML models for architecture rely on heavy boundary representation formats (like OBJ, IFC, or DXF) or unstructured pixel matrices, which fail to capture functional spatial relationships.
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**HYWE** (**
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This dataset provides the bridging data to train AI models that can generate **deterministic topologies** directly from linguistic design narratives.
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| Field | Type | Description |
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| :--- | :--- | :--- |
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| `definition` | `string` | The single source of truth **HYWE Syntax** representation containing design constraints, block attributes, boundaries, and cell specs. |
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| `description` | `string` | A natural language spatial narrative detailing the designer's intent, scale, flow, and typology. |
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| `configuration` | `string[]` | An array of exactly 24 layout string variations, corresponding to the 24 procedural sequence sweeps. |
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### Configuration Layout String Format
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Each layout string inside the `configuration` array represents the fully resolved 2D/3D geometry of all levels and rooms.
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* **Levels**: Separated by `|`. E.g., `L0[ ... ] | L3[ ... ]`.
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Traditional generative ML models for architecture rely on heavy boundary representation formats (like OBJ, IFC, or DXF) or unstructured pixel matrices, which fail to capture functional spatial relationships.
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**HYWE** (**Hygrid Woven Ensemble**) models design space as a function of discrete computational logic. It rejects manual drafting and continuous geometric solvers in favor of a **hybrid orthogonal-hexagonal grid (Hygrid)**. In this system, spatial adjacency is a direct mathematical consequence of defined **architectural programming** constraints rather than absolute geometric coordinates.
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This dataset provides the bridging data to train AI models that can generate **deterministic topologies** directly from linguistic design narratives.
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| Field | Type | Description |
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| :--- | :--- | :--- |
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| `definition` | `string` | The single source of truth **HYWE Syntax** representation containing design constraints, block attributes, boundaries, and cell specs. Note: Contains a default active sequence query key in its `Q` attribute, but layout variations are not restricted to this query. |
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| `description` | `string` | A natural language spatial narrative detailing the designer's intent, scale, flow, and typology. |
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| `configuration` | `string[]` | An array of exactly 24 layout string variations, corresponding to the 24 procedural sequence sweeps. |
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> [!NOTE]
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> **Complete Layout Sweeps**: Although the `definition` field contains a default sequence rule in its `Q` attribute (representing the active configuration at the time of export), the dataset itself is **not restricted** to that single configuration. The accompanying `configuration` field contains the resolved layout strings for **all 24 possible sequence permutations**, enabling comprehensive training across all sequence rules.
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### Configuration Layout String Format
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Each layout string inside the `configuration` array represents the fully resolved 2D/3D geometry of all levels and rooms.
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* **Levels**: Separated by `|`. E.g., `L0[ ... ] | L3[ ... ]`.
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