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  1. voi/data/voi-431.json +285 -0
  2. voi/data/voi-432.json +293 -0
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-431\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S2: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S4: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S5: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
291
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-432\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S6: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
292
+ }
293
+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
283
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-433\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S2: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S5: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
255
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-434\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S6: V1=[0,0], V2=[1,0], V3=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
256
+ }
257
+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
295
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-435\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S2: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S3: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S4: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S5: V1=[0,0], V2=[1,0], V3=[0,1]\n- S6: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
296
+ }
297
+ }
voi/data/voi-436.json ADDED
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
279
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-436\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[2,0], V3=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S6: V1=[0,0], V2=[2,0], V3=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
280
+ }
281
+ }
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260
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261
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
263
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-437\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S2: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S3: V1=[0,0], V2=[1,0], V3=[0,1]\n- S4: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S5: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S6: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
264
+ }
265
+ }
voi/data/voi-438.json ADDED
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
263
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-438\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S2: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[0,2]\n- S4: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S5: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S6: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
264
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
267
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-439\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S2: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S3: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S4: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S5: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
268
+ }
269
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-440\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S2: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S6: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
283
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-441\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S2: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S6: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
284
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
259
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-442\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S2: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S3: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S4: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[0,2]\n- S6: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ "prompt": {
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
279
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-443\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S4: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S6: V1=[0,0], V2=[1,0], V3=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
280
+ }
281
+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
259
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-444\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[1,0], V3=[0,1]\n- S4: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S5: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S6: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
260
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
263
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-445\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S4: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S5: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
264
+ }
265
+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
267
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-446\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S2: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S4: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S5: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
268
+ }
269
+ }
voi/data/voi-447.json ADDED
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
279
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-447\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S5: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S6: V1=[0,0], V2=[2,0], V3=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
280
+ }
281
+ }
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264
+ "solutionText": "S1 90 V4 [2,7]\nS2 180 V1 [4,9]\nS3 90 V3 [1,5]\nS4 90 V1 [4,8]",
265
+ "prompt": {
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
267
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-448\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S4: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S5: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S6: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
268
+ }
269
+ }
voi/data/voi-449.json ADDED
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
259
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-449\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 2\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[0,1]\n- S2: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S3: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
298
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-450\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[0,2]\n- S6: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S7: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
299
+ }
300
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-451\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S3: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S4: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S5: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S6: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S7: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
278
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-452\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[0,1]\n- S2: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S4: V1=[0,0], V2=[2,0], V3=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S7: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
279
+ }
280
+ }
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+ "target": "../images/voi-453/target.png",
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+ },
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+ "ID": "voi-453",
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+ "legacy_answer": "S2 180 V6 [4,4]\nS4 0 V1 [4,4]\nS6 180 V3 [4,4]\nS7 270 V1 [5,2]",
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-453\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S5: V1=[0,0], V2=[2,0], V3=[0,2]\n- S6: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S7: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-454\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S5: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S6: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S7: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
310
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-455\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S2: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S6: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S7: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
311
+ }
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
286
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-456\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S2: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S3: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S4: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S5: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S6: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S7: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
298
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-457\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S6: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S7: V1=[0,0], V2=[1,0], V3=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
299
+ }
300
+ }
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+ "imageAssets": {
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+ "target": "../images/voi-458/target.png",
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+ "S1": "../images/voi-458/shape_S1.png",
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+ }
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+ },
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+ "ID": "voi-458",
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+ "answer": {
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+ {
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+ "legacy_answer": "S1 90 V4 [7,2]\nS2 180 V1 [4,2]\nS5 0 V1 [0,0]\nS6 90 V1 [3,3]",
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+ "solutionText": "S1 90 V4 [7,2]\nS2 180 V1 [4,2]\nS5 0 V1 [0,0]\nS6 90 V1 [3,3]",
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+ "prompt": {
293
+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
294
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-458\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S2: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S5: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S6: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S7: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
295
+ }
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-459\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S2: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S3: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S4: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S5: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S6: V1=[0,0], V2=[2,0], V3=[0,2]\n- S7: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
299
+ }
300
+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
266
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-460\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S2: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S3: V1=[0,0], V2=[1,0], V3=[0,1]\n- S4: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[0,2]\n- S6: V1=[0,0], V2=[2,0], V3=[0,2]\n- S7: V1=[0,0], V2=[2,0], V3=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
267
+ }
268
+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
286
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-461\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S5: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S6: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S7: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
287
+ }
288
+ }
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271
+ "solutionText": "S3 270 V2 [9,6]\nS4 270 V1 [9,5]\nS6 270 V1 [10,6]\nS7 0 V1 [7,6]",
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
274
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-462\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S2: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[2,0], V3=[0,2]\n- S5: V1=[0,0], V2=[1,0], V3=[0,1]\n- S6: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S7: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
275
+ }
276
+ }
voi/data/voi-463.json ADDED
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-463\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S2: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[0,2]\n- S4: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S5: V1=[0,0], V2=[2,0], V3=[0,2]\n- S6: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S7: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-464\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S2: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S3: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S4: V1=[0,0], V2=[2,0], V3=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S6: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S7: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
299
+ }
300
+ }
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+ "ID": "voi-465",
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+ "prompt": {
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
306
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-465\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[0,2]\n- S2: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S4: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S5: V1=[0,0], V2=[1,0], V3=[0,1]\n- S6: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S7: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
274
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-466\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S2: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[2,0], V3=[0,2]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S6: V1=[0,0], V2=[2,0], V3=[0,2]\n- S7: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
275
+ }
276
+ }
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+ }
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+ },
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+ "ID": "voi-467",
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
298
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-467\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S3: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S7: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
299
+ }
300
+ }
voi/data/voi-468.json ADDED
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
286
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-468\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S4: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S6: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S7: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
286
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-469\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[1,0], V3=[0,1]\n- S5: V1=[0,0], V2=[2,0], V3=[0,2]\n- S6: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S7: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
287
+ }
288
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+ "prompt": {
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-470\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S2: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[1,0], V3=[0,1]\n- S5: V1=[0,0], V2=[2,0], V3=[0,2]\n- S6: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S7: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ "legacy_answer": "S1 180 V2 [5,6]\nS2 90 V4 [6,6]\nS6 90 V2 [4,3]\nS7 90 V2 [8,6]",
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
310
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-471\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S3: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S6: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S7: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
311
+ }
312
+ }
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+ }
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+ "ID": "voi-472",
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+ "answer": {
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+ "legacy_answer": "S1 180 V2 [3,2]\nS4 90 V1 [2,3]\nS6 0 V3 [5,3]\nS7 90 V2 [0,0]",
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
286
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-472\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[2,1], V4=[0,1]\n- S2: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[1,0], V3=[0,1]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S7: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
302
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-473\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S2: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S5: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S7: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
303
+ }
304
+ }
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+ }
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+ "ID": "voi-474",
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+ "legacy_answer": "S1 0 V2 [5,7]\nS2 0 V3 [4,8]\nS4 90 V4 [8,7]\nS5 180 V2 [6,9]",
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+ "prompt": {
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
294
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-474\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[2,0], V3=[0,2]\n- S6: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S7: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
295
+ }
296
+ }
voi/data/voi-475.json ADDED
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
270
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-475\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[0,1]\n- S2: V1=[0,0], V2=[2,0], V3=[0,2]\n- S3: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S4: V1=[0,0], V2=[1,0], V3=[0,1]\n- S5: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S6: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S7: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
286
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-476\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S2: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S4: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S5: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S6: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S7: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
287
+ }
288
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
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+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-477\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S2: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S3: V1=[0,0], V2=[2,0], V3=[2,2], V4=[0,2]\n- S4: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S5: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S6: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S7: V1=[0,0], V2=[2,0], V3=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
302
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-478\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S3: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S4: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S5: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S6: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S7: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
303
+ }
304
+ }
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+ "ID": "voi-479",
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+ "legacy_answer": "S2 180 V3 [0,5]\nS4 180 V1 [7,6]\nS5 270 V4 [3,6]\nS7 270 V5 [3,5]",
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+ "prompt": {
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
318
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-479\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[1,0], V3=[1,3], V4=[0,3]\n- S2: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S3: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S4: V1=[0,0], V2=[1,0], V3=[1,1], V4=[0,1]\n- S5: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S6: V1=[0,0], V2=[2,0], V3=[2,1], V4=[0,1]\n- S7: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
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+ }
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+ }
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+ "imageAssets": {
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+ "target": "../images/voi-480/target.png",
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+ "S1": "../images/voi-480/shape_S1.png",
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+ "S2": "../images/voi-480/shape_S2.png",
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+ "S3": "../images/voi-480/shape_S3.png",
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+ "S4": "../images/voi-480/shape_S4.png",
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+ "S6": "../images/voi-480/shape_S6.png",
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+ "S7": "../images/voi-480/shape_S7.png"
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+ }
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+ },
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+ "ID": "voi-480",
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+ "answer": {
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+ "placements": [
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+ "vertex": "V3",
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+ "legacy_answer": "S1 270 V3 [7,7]\nS2 0 V6 [5,7]\nS3 270 V6 [4,7]\nS5 0 V3 [8,6]",
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+ "solutionText": "S1 270 V3 [7,7]\nS2 0 V6 [5,7]\nS3 270 V6 [4,7]\nS5 0 V3 [8,6]",
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+ "prompt": {
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+ "system": "You are a Text-VOI spatial logic puzzle solver. Given a target pattern image and a set of base shapes, choose how to rotate and translate the shapes onto a grid so that their XOR-overlapping union matches the target pattern exactly.\n\nYou will receive: (a) one target pattern image showing the goal silhouette on a labeled grid, (b) one image per available base shape with vertex labels, and (c) a structured text body listing each shape's vertex coordinates, the grid size, the difficulty tier, the required and distractor shape counts, and the XOR-overlap rule.\n\nYou may reason step by step before the final answer. Place your final answer on the very last line of your reply, in the form: FINAL_JSON: <one-line JSON>\n\nThe JSON object must follow the placements schema described in section 8 of the user prompt. Do NOT wrap FINAL_JSON in Markdown code fences. Do NOT write anything after the FINAL_JSON line. Emit exactly one FINAL_JSON line.\n\nIf you cannot reconstruct the target pattern with full confidence, still emit a best-effort FINAL_JSON line with at least one placement; the only structurally invalid output is no FINAL_JSON line at all. Never refuse, never return prose only.",
326
+ "user": "## 1. TASK\nChoose how to rotate and translate base shapes onto the grid so that their XOR-overlapped union exactly reproduces the target pattern.\nThe puzzle is solved when the rasterized pixel mask of the chosen placements equals the target pattern's pixel mask.\n\n## 2. WORLD MODEL\n- Grid: an integer grid of size `gridSize x gridSize`. The grid coordinate origin is the bottom-left corner; x increases to the right, y increases upward.\n- Base shape: a polygon defined by a sequence of named vertices V1, V2, ... in the shape's local coordinate frame. The local origin is `[0, 0]`.\n- Vertex id: the literal vertex name (e.g. \"V1\", \"V2\", ...) used to anchor a placement.\n- Placement: pick one base shape, rotate it clockwise around its local origin by 0/90/180/270 degrees, then translate so a chosen post-rotation vertex lands on a chosen grid coordinate.\n- XOR overlap: when shapes overlap, the overlapping region is removed (symmetric difference of pixel masks). XOR overlap is allowed. Overlapping black areas cancel each other out.\n- Target pattern: the goal black region painted on the grid.\n\n## 3. VISUAL LEGEND\n- Image 1: the target pattern, drawn on the grid with coordinate labels visible.\n- Image 2..N: one image per base shape, with vertex labels \"V1, V2, ...\" printed at each vertex and the local origin marked.\n- All images share the same grid coordinate system (origin bottom-left, x right, y up).\n\n## 4. INPUT FIELDS\n- level_id: voi-480\n- grid_size: 10x10\n- difficulty_tier: Unlabeled\n- minimum_required_shapes: 4\n- distractor_shapes: 3\n- xor_overlap_allowed: True\n- inventory (each base shape's vertex coordinates):\n- S1: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n- S2: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S3: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S4: V1=[0,0], V2=[2,0], V3=[2,1], V4=[1,1], V5=[1,3], V6=[0,3]\n- S5: V1=[0,0], V2=[3,0], V3=[3,1], V4=[0,1]\n- S6: V1=[0,0], V2=[1,0], V3=[1,2], V4=[0,2]\n- S7: V1=[0,0], V2=[3,0], V3=[3,2], V4=[0,2]\n\n## 5. ACTION VOCABULARY\nA complete answer is one ordered list of `placement` objects:\n- placement: {\"shape\": <shape id>, \"angle\": 0|90|180|270, \"vertex\": <vertex id>, \"grid\": [<int>, <int>]}\n- `shape` is one of the inventory shape ids above.\n- `angle` is the clockwise rotation in degrees, applied around the shape's local origin before translation.\n- `vertex` is the post-rotation vertex of the chosen shape used as the placement anchor.\n- `grid` is the global grid coordinate where the chosen anchor vertex lands.\n\n## 6. CONSTRAINTS\n- Each shape may be used at most once (no shape appears twice in the placements list).\n- `angle` must be exactly one of {0, 90, 180, 270}.\n- `vertex` must be a valid vertex id of the chosen shape (e.g. \"V1\" .. \"Vk\").\n- `grid` coordinates may extend outside `[0, gridSize)` only if the resulting placement still fits the puzzle's framing — overshooting cells outside the target are scored as misses.\n- The final XOR-union of all placement pixel masks must equal the target pattern's pixel mask for a perfect score.\n\n## 7. SOLVING ADVICE\n- Identify large unique shapes in the target first; small shapes are usually used to fill remaining gaps.\n- When XOR overlap is allowed, two shapes overlapping each other can carve a hole — useful when the target has concavities the base shapes cannot reproduce alone.\n- Anchor each placement to a corner vertex (V1 typically) when possible; it makes the translation reasoning easier to verify.\n\n## 8. OUTPUT SCHEMA\nFINAL_JSON: {\"placements\":[{\"shape\":\"<id>\",\"angle\":<0|90|180|270>,\"vertex\":\"<id>\",\"grid\":[<int>,<int>]}, ...]}\n- placements: list of placement objects.\n- shape: string, must be a key from the inventory.\n- angle: integer in {0, 90, 180, 270}.\n- vertex: string, a valid vertex id of the chosen shape.\n- grid: array of two integers `[gridX, gridY]`.\n\n## 9. FINAL INSTRUCTION\nYou may include reasoning above, but the very last line of your reply must start with FINAL_JSON: followed by exactly one valid JSON object.\nDo not wrap FINAL_JSON in code fences and do not write anything after it."
327
+ }
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+ }