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@@ -48,7 +48,7 @@ A highly structured, synthetic dataset of procedural architectural programming,
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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** (**Hy**grid **W**oven **E**nsemble) 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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@@ -112,10 +112,13 @@ Each record is stored as a `.jsonl` file in the `data/` directory. The top-level
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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[ ... ]`.