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- voi/data/voi-431.json +285 -0
- voi/data/voi-432.json +293 -0
- voi/data/voi-433.json +285 -0
- voi/data/voi-434.json +257 -0
- voi/data/voi-435.json +297 -0
- voi/data/voi-436.json +281 -0
- voi/data/voi-437.json +265 -0
- voi/data/voi-438.json +265 -0
- voi/data/voi-439.json +269 -0
- voi/data/voi-440.json +301 -0
- voi/data/voi-441.json +285 -0
- voi/data/voi-442.json +261 -0
- voi/data/voi-443.json +281 -0
- voi/data/voi-444.json +261 -0
- voi/data/voi-445.json +265 -0
- voi/data/voi-446.json +269 -0
- voi/data/voi-447.json +281 -0
- voi/data/voi-448.json +269 -0
- voi/data/voi-449.json +261 -0
- voi/data/voi-450.json +300 -0
- voi/data/voi-451.json +320 -0
- voi/data/voi-452.json +280 -0
- voi/data/voi-453.json +332 -0
- voi/data/voi-454.json +304 -0
- voi/data/voi-455.json +312 -0
- voi/data/voi-456.json +288 -0
- voi/data/voi-457.json +300 -0
- voi/data/voi-458.json +296 -0
- voi/data/voi-459.json +300 -0
- voi/data/voi-460.json +268 -0
- voi/data/voi-461.json +288 -0
- voi/data/voi-462.json +276 -0
- voi/data/voi-463.json +280 -0
- voi/data/voi-464.json +300 -0
- voi/data/voi-465.json +308 -0
- voi/data/voi-466.json +276 -0
- voi/data/voi-467.json +300 -0
- voi/data/voi-468.json +288 -0
- voi/data/voi-469.json +288 -0
- voi/data/voi-470.json +280 -0
- voi/data/voi-471.json +312 -0
- voi/data/voi-472.json +288 -0
- voi/data/voi-473.json +304 -0
- voi/data/voi-474.json +296 -0
- voi/data/voi-475.json +272 -0
- voi/data/voi-476.json +288 -0
- voi/data/voi-477.json +296 -0
- voi/data/voi-478.json +304 -0
- voi/data/voi-479.json +320 -0
- voi/data/voi-480.json +328 -0
voi/data/voi-431.json
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| 282 |
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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-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."
|
| 284 |
+
}
|
| 285 |
+
}
|
voi/data/voi-432.json
ADDED
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
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0
|
| 8 |
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|
| 9 |
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|
| 10 |
+
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|
| 11 |
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|
| 12 |
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|
| 13 |
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"V3": [
|
| 14 |
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|
| 15 |
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|
| 16 |
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],
|
| 17 |
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"V4": [
|
| 18 |
+
0,
|
| 19 |
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|
| 20 |
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|
| 21 |
+
},
|
| 22 |
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"S2": {
|
| 23 |
+
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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"V2": [
|
| 28 |
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|
| 29 |
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|
| 30 |
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],
|
| 31 |
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"V3": [
|
| 32 |
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2,
|
| 33 |
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1
|
| 34 |
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|
| 35 |
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"V4": [
|
| 36 |
+
0,
|
| 37 |
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1
|
| 38 |
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]
|
| 39 |
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},
|
| 40 |
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"S3": {
|
| 41 |
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"V1": [
|
| 42 |
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0,
|
| 43 |
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0
|
| 44 |
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|
| 45 |
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"V2": [
|
| 46 |
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2,
|
| 47 |
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0
|
| 48 |
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],
|
| 49 |
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"V3": [
|
| 50 |
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2,
|
| 51 |
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1
|
| 52 |
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],
|
| 53 |
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"V4": [
|
| 54 |
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1,
|
| 55 |
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1
|
| 56 |
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],
|
| 57 |
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"V5": [
|
| 58 |
+
1,
|
| 59 |
+
3
|
| 60 |
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],
|
| 61 |
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"V6": [
|
| 62 |
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0,
|
| 63 |
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3
|
| 64 |
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]
|
| 65 |
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},
|
| 66 |
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"S4": {
|
| 67 |
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"V1": [
|
| 68 |
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0,
|
| 69 |
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0
|
| 70 |
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],
|
| 71 |
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"V2": [
|
| 72 |
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3,
|
| 73 |
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0
|
| 74 |
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],
|
| 75 |
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"V3": [
|
| 76 |
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3,
|
| 77 |
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2
|
| 78 |
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],
|
| 79 |
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"V4": [
|
| 80 |
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0,
|
| 81 |
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2
|
| 82 |
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]
|
| 83 |
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},
|
| 84 |
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"S5": {
|
| 85 |
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"V1": [
|
| 86 |
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0,
|
| 87 |
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0
|
| 88 |
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|
| 89 |
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"V2": [
|
| 90 |
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|
| 91 |
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0
|
| 92 |
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|
| 93 |
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"V3": [
|
| 94 |
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|
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1
|
| 96 |
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],
|
| 97 |
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"V4": [
|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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"V5": [
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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"V6": [
|
| 106 |
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|
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|
| 108 |
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|
| 109 |
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|
| 110 |
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"S6": {
|
| 111 |
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"V1": [
|
| 112 |
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0,
|
| 113 |
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|
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|
| 115 |
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"V2": [
|
| 116 |
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2,
|
| 117 |
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0
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| 118 |
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],
|
| 119 |
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"V3": [
|
| 120 |
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2,
|
| 121 |
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1
|
| 122 |
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],
|
| 123 |
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"V4": [
|
| 124 |
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0,
|
| 125 |
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1
|
| 126 |
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]
|
| 127 |
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}
|
| 128 |
+
},
|
| 129 |
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"target": [
|
| 130 |
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{
|
| 131 |
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"polygon": [
|
| 132 |
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[
|
| 133 |
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3,
|
| 134 |
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6
|
| 135 |
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],
|
| 136 |
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[
|
| 137 |
+
3,
|
| 138 |
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3
|
| 139 |
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],
|
| 140 |
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[
|
| 141 |
+
5,
|
| 142 |
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3
|
| 143 |
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],
|
| 144 |
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[
|
| 145 |
+
5,
|
| 146 |
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6
|
| 147 |
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]
|
| 148 |
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]
|
| 149 |
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},
|
| 150 |
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{
|
| 151 |
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"polygon": [
|
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[
|
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5,
|
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2
|
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|
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[
|
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5,
|
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4
|
| 159 |
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|
| 160 |
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[
|
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4,
|
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4
|
| 163 |
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|
| 164 |
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[
|
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|
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|
| 167 |
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|
| 168 |
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[
|
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|
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|
| 171 |
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|
| 172 |
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[
|
| 173 |
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2,
|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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{
|
| 179 |
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"polygon": [
|
| 180 |
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[
|
| 181 |
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|
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|
| 183 |
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|
| 184 |
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[
|
| 185 |
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|
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|
| 187 |
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|
| 188 |
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[
|
| 189 |
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|
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|
| 191 |
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|
| 192 |
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[
|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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{
|
| 199 |
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"polygon": [
|
| 200 |
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[
|
| 201 |
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|
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|
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|
| 204 |
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[
|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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[
|
| 209 |
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|
| 210 |
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|
| 211 |
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|
| 212 |
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[
|
| 213 |
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|
| 214 |
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5
|
| 215 |
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]
|
| 216 |
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]
|
| 217 |
+
}
|
| 218 |
+
],
|
| 219 |
+
"meta": {
|
| 220 |
+
"seed": 4206058,
|
| 221 |
+
"requiredShapeCount": 4,
|
| 222 |
+
"distractorShapeCount": 2,
|
| 223 |
+
"shapePoolComplexity": "medium",
|
| 224 |
+
"overlapAllowed": true,
|
| 225 |
+
"overlapRatio": 0.333333,
|
| 226 |
+
"contourComplexity": 16,
|
| 227 |
+
"connectedComponents": 2,
|
| 228 |
+
"fillRatio": 0.12,
|
| 229 |
+
"difficultyScore": 0.743333,
|
| 230 |
+
"rasterScale": 16,
|
| 231 |
+
"targetPackaging": "solution_xor_components",
|
| 232 |
+
"catalogIndex": 433,
|
| 233 |
+
"strictValidation": true
|
| 234 |
+
},
|
| 235 |
+
"imageAssets": {
|
| 236 |
+
"target": "../images/voi-432/target.png",
|
| 237 |
+
"shapes": {
|
| 238 |
+
"S1": "../images/voi-432/shape_S1.png",
|
| 239 |
+
"S2": "../images/voi-432/shape_S2.png",
|
| 240 |
+
"S3": "../images/voi-432/shape_S3.png",
|
| 241 |
+
"S4": "../images/voi-432/shape_S4.png",
|
| 242 |
+
"S5": "../images/voi-432/shape_S5.png",
|
| 243 |
+
"S6": "../images/voi-432/shape_S6.png"
|
| 244 |
+
}
|
| 245 |
+
},
|
| 246 |
+
"ID": "voi-432",
|
| 247 |
+
"answer": {
|
| 248 |
+
"placements": [
|
| 249 |
+
{
|
| 250 |
+
"shape": "S1",
|
| 251 |
+
"angle": 90,
|
| 252 |
+
"vertex": "V2",
|
| 253 |
+
"grid": [
|
| 254 |
+
3,
|
| 255 |
+
3
|
| 256 |
+
]
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"shape": "S3",
|
| 260 |
+
"angle": 270,
|
| 261 |
+
"vertex": "V6",
|
| 262 |
+
"grid": [
|
| 263 |
+
2,
|
| 264 |
+
2
|
| 265 |
+
]
|
| 266 |
+
},
|
| 267 |
+
{
|
| 268 |
+
"shape": "S4",
|
| 269 |
+
"angle": 180,
|
| 270 |
+
"vertex": "V4",
|
| 271 |
+
"grid": [
|
| 272 |
+
10,
|
| 273 |
+
4
|
| 274 |
+
]
|
| 275 |
+
},
|
| 276 |
+
{
|
| 277 |
+
"shape": "S6",
|
| 278 |
+
"angle": 0,
|
| 279 |
+
"vertex": "V1",
|
| 280 |
+
"grid": [
|
| 281 |
+
7,
|
| 282 |
+
4
|
| 283 |
+
]
|
| 284 |
+
}
|
| 285 |
+
]
|
| 286 |
+
},
|
| 287 |
+
"legacy_answer": "S1 90 V2 [3,3]\nS3 270 V6 [2,2]\nS4 180 V4 [10,4]\nS6 0 V1 [7,4]",
|
| 288 |
+
"solutionText": "S1 90 V2 [3,3]\nS3 270 V6 [2,2]\nS4 180 V4 [10,4]\nS6 0 V1 [7,4]",
|
| 289 |
+
"prompt": {
|
| 290 |
+
"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 |
+
}
|
voi/data/voi-433.json
ADDED
|
@@ -0,0 +1,285 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
1,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
1
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
1,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
1,
|
| 33 |
+
2
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
2
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
2,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
2,
|
| 51 |
+
1
|
| 52 |
+
],
|
| 53 |
+
"V4": [
|
| 54 |
+
1,
|
| 55 |
+
1
|
| 56 |
+
],
|
| 57 |
+
"V5": [
|
| 58 |
+
1,
|
| 59 |
+
3
|
| 60 |
+
],
|
| 61 |
+
"V6": [
|
| 62 |
+
0,
|
| 63 |
+
3
|
| 64 |
+
]
|
| 65 |
+
},
|
| 66 |
+
"S4": {
|
| 67 |
+
"V1": [
|
| 68 |
+
0,
|
| 69 |
+
0
|
| 70 |
+
],
|
| 71 |
+
"V2": [
|
| 72 |
+
1,
|
| 73 |
+
0
|
| 74 |
+
],
|
| 75 |
+
"V3": [
|
| 76 |
+
1,
|
| 77 |
+
2
|
| 78 |
+
],
|
| 79 |
+
"V4": [
|
| 80 |
+
0,
|
| 81 |
+
2
|
| 82 |
+
]
|
| 83 |
+
},
|
| 84 |
+
"S5": {
|
| 85 |
+
"V1": [
|
| 86 |
+
0,
|
| 87 |
+
0
|
| 88 |
+
],
|
| 89 |
+
"V2": [
|
| 90 |
+
3,
|
| 91 |
+
0
|
| 92 |
+
],
|
| 93 |
+
"V3": [
|
| 94 |
+
2,
|
| 95 |
+
1
|
| 96 |
+
],
|
| 97 |
+
"V4": [
|
| 98 |
+
0,
|
| 99 |
+
1
|
| 100 |
+
]
|
| 101 |
+
},
|
| 102 |
+
"S6": {
|
| 103 |
+
"V1": [
|
| 104 |
+
0,
|
| 105 |
+
0
|
| 106 |
+
],
|
| 107 |
+
"V2": [
|
| 108 |
+
3,
|
| 109 |
+
0
|
| 110 |
+
],
|
| 111 |
+
"V3": [
|
| 112 |
+
3,
|
| 113 |
+
2
|
| 114 |
+
],
|
| 115 |
+
"V4": [
|
| 116 |
+
0,
|
| 117 |
+
2
|
| 118 |
+
]
|
| 119 |
+
}
|
| 120 |
+
},
|
| 121 |
+
"target": [
|
| 122 |
+
{
|
| 123 |
+
"polygon": [
|
| 124 |
+
[
|
| 125 |
+
6,
|
| 126 |
+
9
|
| 127 |
+
],
|
| 128 |
+
[
|
| 129 |
+
5,
|
| 130 |
+
9
|
| 131 |
+
],
|
| 132 |
+
[
|
| 133 |
+
5,
|
| 134 |
+
7
|
| 135 |
+
],
|
| 136 |
+
[
|
| 137 |
+
6,
|
| 138 |
+
7
|
| 139 |
+
]
|
| 140 |
+
]
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"polygon": [
|
| 144 |
+
[
|
| 145 |
+
7,
|
| 146 |
+
7
|
| 147 |
+
],
|
| 148 |
+
[
|
| 149 |
+
5,
|
| 150 |
+
7
|
| 151 |
+
],
|
| 152 |
+
[
|
| 153 |
+
5,
|
| 154 |
+
6
|
| 155 |
+
],
|
| 156 |
+
[
|
| 157 |
+
6,
|
| 158 |
+
6
|
| 159 |
+
],
|
| 160 |
+
[
|
| 161 |
+
6,
|
| 162 |
+
4
|
| 163 |
+
],
|
| 164 |
+
[
|
| 165 |
+
7,
|
| 166 |
+
4
|
| 167 |
+
]
|
| 168 |
+
]
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"polygon": [
|
| 172 |
+
[
|
| 173 |
+
6,
|
| 174 |
+
5
|
| 175 |
+
],
|
| 176 |
+
[
|
| 177 |
+
7,
|
| 178 |
+
5
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
7,
|
| 182 |
+
7
|
| 183 |
+
],
|
| 184 |
+
[
|
| 185 |
+
6,
|
| 186 |
+
7
|
| 187 |
+
]
|
| 188 |
+
]
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"polygon": [
|
| 192 |
+
[
|
| 193 |
+
3,
|
| 194 |
+
9
|
| 195 |
+
],
|
| 196 |
+
[
|
| 197 |
+
3,
|
| 198 |
+
6
|
| 199 |
+
],
|
| 200 |
+
[
|
| 201 |
+
5,
|
| 202 |
+
6
|
| 203 |
+
],
|
| 204 |
+
[
|
| 205 |
+
5,
|
| 206 |
+
9
|
| 207 |
+
]
|
| 208 |
+
]
|
| 209 |
+
}
|
| 210 |
+
],
|
| 211 |
+
"meta": {
|
| 212 |
+
"seed": 4206059,
|
| 213 |
+
"requiredShapeCount": 4,
|
| 214 |
+
"distractorShapeCount": 2,
|
| 215 |
+
"shapePoolComplexity": "medium",
|
| 216 |
+
"overlapAllowed": true,
|
| 217 |
+
"overlapRatio": 0.285714,
|
| 218 |
+
"contourComplexity": 8,
|
| 219 |
+
"connectedComponents": 2,
|
| 220 |
+
"fillRatio": 0.1,
|
| 221 |
+
"difficultyScore": 0.707143,
|
| 222 |
+
"rasterScale": 16,
|
| 223 |
+
"targetPackaging": "solution_xor_components",
|
| 224 |
+
"catalogIndex": 434,
|
| 225 |
+
"strictValidation": true
|
| 226 |
+
},
|
| 227 |
+
"imageAssets": {
|
| 228 |
+
"target": "../images/voi-433/target.png",
|
| 229 |
+
"shapes": {
|
| 230 |
+
"S1": "../images/voi-433/shape_S1.png",
|
| 231 |
+
"S2": "../images/voi-433/shape_S2.png",
|
| 232 |
+
"S3": "../images/voi-433/shape_S3.png",
|
| 233 |
+
"S4": "../images/voi-433/shape_S4.png",
|
| 234 |
+
"S5": "../images/voi-433/shape_S5.png",
|
| 235 |
+
"S6": "../images/voi-433/shape_S6.png"
|
| 236 |
+
}
|
| 237 |
+
},
|
| 238 |
+
"ID": "voi-433",
|
| 239 |
+
"answer": {
|
| 240 |
+
"placements": [
|
| 241 |
+
{
|
| 242 |
+
"shape": "S2",
|
| 243 |
+
"angle": 180,
|
| 244 |
+
"vertex": "V2",
|
| 245 |
+
"grid": [
|
| 246 |
+
5,
|
| 247 |
+
9
|
| 248 |
+
]
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"shape": "S3",
|
| 252 |
+
"angle": 180,
|
| 253 |
+
"vertex": "V6",
|
| 254 |
+
"grid": [
|
| 255 |
+
7,
|
| 256 |
+
4
|
| 257 |
+
]
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"shape": "S4",
|
| 261 |
+
"angle": 0,
|
| 262 |
+
"vertex": "V3",
|
| 263 |
+
"grid": [
|
| 264 |
+
7,
|
| 265 |
+
7
|
| 266 |
+
]
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"shape": "S6",
|
| 270 |
+
"angle": 90,
|
| 271 |
+
"vertex": "V3",
|
| 272 |
+
"grid": [
|
| 273 |
+
5,
|
| 274 |
+
6
|
| 275 |
+
]
|
| 276 |
+
}
|
| 277 |
+
]
|
| 278 |
+
},
|
| 279 |
+
"legacy_answer": "S2 180 V2 [5,9]\nS3 180 V6 [7,4]\nS4 0 V3 [7,7]\nS6 90 V3 [5,6]",
|
| 280 |
+
"solutionText": "S2 180 V2 [5,9]\nS3 180 V6 [7,4]\nS4 0 V3 [7,7]\nS6 90 V3 [5,6]",
|
| 281 |
+
"prompt": {
|
| 282 |
+
"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."
|
| 284 |
+
}
|
| 285 |
+
}
|
voi/data/voi-434.json
ADDED
|
@@ -0,0 +1,257 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
0,
|
| 15 |
+
2
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
"S2": {
|
| 19 |
+
"V1": [
|
| 20 |
+
0,
|
| 21 |
+
0
|
| 22 |
+
],
|
| 23 |
+
"V2": [
|
| 24 |
+
2,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V3": [
|
| 28 |
+
2,
|
| 29 |
+
2
|
| 30 |
+
],
|
| 31 |
+
"V4": [
|
| 32 |
+
0,
|
| 33 |
+
2
|
| 34 |
+
]
|
| 35 |
+
},
|
| 36 |
+
"S3": {
|
| 37 |
+
"V1": [
|
| 38 |
+
0,
|
| 39 |
+
0
|
| 40 |
+
],
|
| 41 |
+
"V2": [
|
| 42 |
+
3,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V3": [
|
| 46 |
+
3,
|
| 47 |
+
2
|
| 48 |
+
],
|
| 49 |
+
"V4": [
|
| 50 |
+
0,
|
| 51 |
+
2
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
+
0,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V2": [
|
| 60 |
+
2,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
2,
|
| 65 |
+
2
|
| 66 |
+
],
|
| 67 |
+
"V4": [
|
| 68 |
+
0,
|
| 69 |
+
2
|
| 70 |
+
]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
+
"V1": [
|
| 74 |
+
0,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V2": [
|
| 78 |
+
2,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V3": [
|
| 82 |
+
2,
|
| 83 |
+
1
|
| 84 |
+
],
|
| 85 |
+
"V4": [
|
| 86 |
+
0,
|
| 87 |
+
1
|
| 88 |
+
]
|
| 89 |
+
},
|
| 90 |
+
"S6": {
|
| 91 |
+
"V1": [
|
| 92 |
+
0,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V2": [
|
| 96 |
+
1,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V3": [
|
| 100 |
+
0,
|
| 101 |
+
1
|
| 102 |
+
]
|
| 103 |
+
}
|
| 104 |
+
},
|
| 105 |
+
"target": [
|
| 106 |
+
{
|
| 107 |
+
"polygon": [
|
| 108 |
+
[
|
| 109 |
+
6,
|
| 110 |
+
4
|
| 111 |
+
],
|
| 112 |
+
[
|
| 113 |
+
6,
|
| 114 |
+
6
|
| 115 |
+
],
|
| 116 |
+
[
|
| 117 |
+
4,
|
| 118 |
+
4
|
| 119 |
+
]
|
| 120 |
+
]
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"polygon": [
|
| 124 |
+
[
|
| 125 |
+
7,
|
| 126 |
+
3
|
| 127 |
+
],
|
| 128 |
+
[
|
| 129 |
+
7,
|
| 130 |
+
5
|
| 131 |
+
],
|
| 132 |
+
[
|
| 133 |
+
5,
|
| 134 |
+
5
|
| 135 |
+
],
|
| 136 |
+
[
|
| 137 |
+
5,
|
| 138 |
+
3
|
| 139 |
+
]
|
| 140 |
+
]
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"polygon": [
|
| 144 |
+
[
|
| 145 |
+
3,
|
| 146 |
+
2
|
| 147 |
+
],
|
| 148 |
+
[
|
| 149 |
+
6,
|
| 150 |
+
2
|
| 151 |
+
],
|
| 152 |
+
[
|
| 153 |
+
6,
|
| 154 |
+
4
|
| 155 |
+
],
|
| 156 |
+
[
|
| 157 |
+
3,
|
| 158 |
+
4
|
| 159 |
+
]
|
| 160 |
+
]
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"polygon": [
|
| 164 |
+
[
|
| 165 |
+
8,
|
| 166 |
+
1
|
| 167 |
+
],
|
| 168 |
+
[
|
| 169 |
+
8,
|
| 170 |
+
3
|
| 171 |
+
],
|
| 172 |
+
[
|
| 173 |
+
6,
|
| 174 |
+
3
|
| 175 |
+
],
|
| 176 |
+
[
|
| 177 |
+
6,
|
| 178 |
+
1
|
| 179 |
+
]
|
| 180 |
+
]
|
| 181 |
+
}
|
| 182 |
+
],
|
| 183 |
+
"meta": {
|
| 184 |
+
"seed": 4206060,
|
| 185 |
+
"requiredShapeCount": 4,
|
| 186 |
+
"distractorShapeCount": 2,
|
| 187 |
+
"shapePoolComplexity": "medium",
|
| 188 |
+
"overlapAllowed": true,
|
| 189 |
+
"overlapRatio": 0.249027,
|
| 190 |
+
"contourComplexity": 78,
|
| 191 |
+
"connectedComponents": 2,
|
| 192 |
+
"fillRatio": 0.120625,
|
| 193 |
+
"difficultyScore": 0.812641,
|
| 194 |
+
"rasterScale": 16,
|
| 195 |
+
"targetPackaging": "solution_xor_components",
|
| 196 |
+
"catalogIndex": 435,
|
| 197 |
+
"strictValidation": true
|
| 198 |
+
},
|
| 199 |
+
"imageAssets": {
|
| 200 |
+
"target": "../images/voi-434/target.png",
|
| 201 |
+
"shapes": {
|
| 202 |
+
"S1": "../images/voi-434/shape_S1.png",
|
| 203 |
+
"S2": "../images/voi-434/shape_S2.png",
|
| 204 |
+
"S3": "../images/voi-434/shape_S3.png",
|
| 205 |
+
"S4": "../images/voi-434/shape_S4.png",
|
| 206 |
+
"S5": "../images/voi-434/shape_S5.png",
|
| 207 |
+
"S6": "../images/voi-434/shape_S6.png"
|
| 208 |
+
}
|
| 209 |
+
},
|
| 210 |
+
"ID": "voi-434",
|
| 211 |
+
"answer": {
|
| 212 |
+
"placements": [
|
| 213 |
+
{
|
| 214 |
+
"shape": "S1",
|
| 215 |
+
"angle": 270,
|
| 216 |
+
"vertex": "V1",
|
| 217 |
+
"grid": [
|
| 218 |
+
6,
|
| 219 |
+
4
|
| 220 |
+
]
|
| 221 |
+
},
|
| 222 |
+
{
|
| 223 |
+
"shape": "S2",
|
| 224 |
+
"angle": 270,
|
| 225 |
+
"vertex": "V4",
|
| 226 |
+
"grid": [
|
| 227 |
+
5,
|
| 228 |
+
3
|
| 229 |
+
]
|
| 230 |
+
},
|
| 231 |
+
{
|
| 232 |
+
"shape": "S3",
|
| 233 |
+
"angle": 0,
|
| 234 |
+
"vertex": "V2",
|
| 235 |
+
"grid": [
|
| 236 |
+
6,
|
| 237 |
+
2
|
| 238 |
+
]
|
| 239 |
+
},
|
| 240 |
+
{
|
| 241 |
+
"shape": "S4",
|
| 242 |
+
"angle": 270,
|
| 243 |
+
"vertex": "V1",
|
| 244 |
+
"grid": [
|
| 245 |
+
8,
|
| 246 |
+
1
|
| 247 |
+
]
|
| 248 |
+
}
|
| 249 |
+
]
|
| 250 |
+
},
|
| 251 |
+
"legacy_answer": "S1 270 V1 [6,4]\nS2 270 V4 [5,3]\nS3 0 V2 [6,2]\nS4 270 V1 [8,1]",
|
| 252 |
+
"solutionText": "S1 270 V1 [6,4]\nS2 270 V4 [5,3]\nS3 0 V2 [6,2]\nS4 270 V1 [8,1]",
|
| 253 |
+
"prompt": {
|
| 254 |
+
"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 |
+
}
|
voi/data/voi-435.json
ADDED
|
@@ -0,0 +1,297 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
1,
|
| 19 |
+
1
|
| 20 |
+
],
|
| 21 |
+
"V5": [
|
| 22 |
+
1,
|
| 23 |
+
3
|
| 24 |
+
],
|
| 25 |
+
"V6": [
|
| 26 |
+
0,
|
| 27 |
+
3
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"S2": {
|
| 31 |
+
"V1": [
|
| 32 |
+
0,
|
| 33 |
+
0
|
| 34 |
+
],
|
| 35 |
+
"V2": [
|
| 36 |
+
2,
|
| 37 |
+
0
|
| 38 |
+
],
|
| 39 |
+
"V3": [
|
| 40 |
+
2,
|
| 41 |
+
2
|
| 42 |
+
],
|
| 43 |
+
"V4": [
|
| 44 |
+
0,
|
| 45 |
+
2
|
| 46 |
+
]
|
| 47 |
+
},
|
| 48 |
+
"S3": {
|
| 49 |
+
"V1": [
|
| 50 |
+
0,
|
| 51 |
+
0
|
| 52 |
+
],
|
| 53 |
+
"V2": [
|
| 54 |
+
1,
|
| 55 |
+
0
|
| 56 |
+
],
|
| 57 |
+
"V3": [
|
| 58 |
+
1,
|
| 59 |
+
1
|
| 60 |
+
],
|
| 61 |
+
"V4": [
|
| 62 |
+
0,
|
| 63 |
+
1
|
| 64 |
+
]
|
| 65 |
+
},
|
| 66 |
+
"S4": {
|
| 67 |
+
"V1": [
|
| 68 |
+
0,
|
| 69 |
+
0
|
| 70 |
+
],
|
| 71 |
+
"V2": [
|
| 72 |
+
2,
|
| 73 |
+
0
|
| 74 |
+
],
|
| 75 |
+
"V3": [
|
| 76 |
+
2,
|
| 77 |
+
1
|
| 78 |
+
],
|
| 79 |
+
"V4": [
|
| 80 |
+
1,
|
| 81 |
+
1
|
| 82 |
+
],
|
| 83 |
+
"V5": [
|
| 84 |
+
1,
|
| 85 |
+
3
|
| 86 |
+
],
|
| 87 |
+
"V6": [
|
| 88 |
+
0,
|
| 89 |
+
3
|
| 90 |
+
]
|
| 91 |
+
},
|
| 92 |
+
"S5": {
|
| 93 |
+
"V1": [
|
| 94 |
+
0,
|
| 95 |
+
0
|
| 96 |
+
],
|
| 97 |
+
"V2": [
|
| 98 |
+
1,
|
| 99 |
+
0
|
| 100 |
+
],
|
| 101 |
+
"V3": [
|
| 102 |
+
0,
|
| 103 |
+
1
|
| 104 |
+
]
|
| 105 |
+
},
|
| 106 |
+
"S6": {
|
| 107 |
+
"V1": [
|
| 108 |
+
0,
|
| 109 |
+
0
|
| 110 |
+
],
|
| 111 |
+
"V2": [
|
| 112 |
+
3,
|
| 113 |
+
0
|
| 114 |
+
],
|
| 115 |
+
"V3": [
|
| 116 |
+
2,
|
| 117 |
+
1
|
| 118 |
+
],
|
| 119 |
+
"V4": [
|
| 120 |
+
0,
|
| 121 |
+
1
|
| 122 |
+
]
|
| 123 |
+
}
|
| 124 |
+
},
|
| 125 |
+
"target": [
|
| 126 |
+
{
|
| 127 |
+
"polygon": [
|
| 128 |
+
[
|
| 129 |
+
4,
|
| 130 |
+
3
|
| 131 |
+
],
|
| 132 |
+
[
|
| 133 |
+
6,
|
| 134 |
+
3
|
| 135 |
+
],
|
| 136 |
+
[
|
| 137 |
+
6,
|
| 138 |
+
4
|
| 139 |
+
],
|
| 140 |
+
[
|
| 141 |
+
5,
|
| 142 |
+
4
|
| 143 |
+
],
|
| 144 |
+
[
|
| 145 |
+
5,
|
| 146 |
+
6
|
| 147 |
+
],
|
| 148 |
+
[
|
| 149 |
+
4,
|
| 150 |
+
6
|
| 151 |
+
]
|
| 152 |
+
]
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"polygon": [
|
| 156 |
+
[
|
| 157 |
+
4,
|
| 158 |
+
6
|
| 159 |
+
],
|
| 160 |
+
[
|
| 161 |
+
4,
|
| 162 |
+
4
|
| 163 |
+
],
|
| 164 |
+
[
|
| 165 |
+
6,
|
| 166 |
+
4
|
| 167 |
+
],
|
| 168 |
+
[
|
| 169 |
+
6,
|
| 170 |
+
6
|
| 171 |
+
]
|
| 172 |
+
]
|
| 173 |
+
},
|
| 174 |
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{
|
| 175 |
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"polygon": [
|
| 176 |
+
[
|
| 177 |
+
3,
|
| 178 |
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|
| 179 |
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],
|
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+
[
|
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+
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|
| 182 |
+
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|
| 183 |
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],
|
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+
[
|
| 185 |
+
5,
|
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+
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|
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+
],
|
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+
[
|
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+
4,
|
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+
2
|
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+
],
|
| 192 |
+
[
|
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+
4,
|
| 194 |
+
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|
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+
],
|
| 196 |
+
[
|
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+
3,
|
| 198 |
+
4
|
| 199 |
+
]
|
| 200 |
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]
|
| 201 |
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},
|
| 202 |
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{
|
| 203 |
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"polygon": [
|
| 204 |
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[
|
| 205 |
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0,
|
| 206 |
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2
|
| 207 |
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|
| 208 |
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[
|
| 209 |
+
3,
|
| 210 |
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2
|
| 211 |
+
],
|
| 212 |
+
[
|
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+
2,
|
| 214 |
+
3
|
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+
],
|
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+
[
|
| 217 |
+
0,
|
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+
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|
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]
|
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]
|
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}
|
| 222 |
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],
|
| 223 |
+
"meta": {
|
| 224 |
+
"seed": 4206061,
|
| 225 |
+
"requiredShapeCount": 4,
|
| 226 |
+
"distractorShapeCount": 2,
|
| 227 |
+
"shapePoolComplexity": "medium",
|
| 228 |
+
"overlapAllowed": true,
|
| 229 |
+
"overlapRatio": 0.275269,
|
| 230 |
+
"contourComplexity": 44,
|
| 231 |
+
"connectedComponents": 1,
|
| 232 |
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"fillRatio": 0.105313,
|
| 233 |
+
"difficultyScore": 0.4883,
|
| 234 |
+
"rasterScale": 16,
|
| 235 |
+
"targetPackaging": "solution_xor_components",
|
| 236 |
+
"catalogIndex": 436,
|
| 237 |
+
"strictValidation": true
|
| 238 |
+
},
|
| 239 |
+
"imageAssets": {
|
| 240 |
+
"target": "../images/voi-435/target.png",
|
| 241 |
+
"shapes": {
|
| 242 |
+
"S1": "../images/voi-435/shape_S1.png",
|
| 243 |
+
"S2": "../images/voi-435/shape_S2.png",
|
| 244 |
+
"S3": "../images/voi-435/shape_S3.png",
|
| 245 |
+
"S4": "../images/voi-435/shape_S4.png",
|
| 246 |
+
"S5": "../images/voi-435/shape_S5.png",
|
| 247 |
+
"S6": "../images/voi-435/shape_S6.png"
|
| 248 |
+
}
|
| 249 |
+
},
|
| 250 |
+
"ID": "voi-435",
|
| 251 |
+
"answer": {
|
| 252 |
+
"placements": [
|
| 253 |
+
{
|
| 254 |
+
"shape": "S1",
|
| 255 |
+
"angle": 0,
|
| 256 |
+
"vertex": "V5",
|
| 257 |
+
"grid": [
|
| 258 |
+
5,
|
| 259 |
+
6
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"shape": "S2",
|
| 264 |
+
"angle": 90,
|
| 265 |
+
"vertex": "V4",
|
| 266 |
+
"grid": [
|
| 267 |
+
6,
|
| 268 |
+
6
|
| 269 |
+
]
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"shape": "S4",
|
| 273 |
+
"angle": 0,
|
| 274 |
+
"vertex": "V5",
|
| 275 |
+
"grid": [
|
| 276 |
+
4,
|
| 277 |
+
4
|
| 278 |
+
]
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"shape": "S6",
|
| 282 |
+
"angle": 0,
|
| 283 |
+
"vertex": "V2",
|
| 284 |
+
"grid": [
|
| 285 |
+
3,
|
| 286 |
+
2
|
| 287 |
+
]
|
| 288 |
+
}
|
| 289 |
+
]
|
| 290 |
+
},
|
| 291 |
+
"legacy_answer": "S1 0 V5 [5,6]\nS2 90 V4 [6,6]\nS4 0 V5 [4,4]\nS6 0 V2 [3,2]",
|
| 292 |
+
"solutionText": "S1 0 V5 [5,6]\nS2 90 V4 [6,6]\nS4 0 V5 [4,4]\nS6 0 V2 [3,2]",
|
| 293 |
+
"prompt": {
|
| 294 |
+
"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
|
@@ -0,0 +1,281 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
3,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
3,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
1
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
2,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
2,
|
| 33 |
+
1
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
1,
|
| 37 |
+
1
|
| 38 |
+
],
|
| 39 |
+
"V5": [
|
| 40 |
+
1,
|
| 41 |
+
3
|
| 42 |
+
],
|
| 43 |
+
"V6": [
|
| 44 |
+
0,
|
| 45 |
+
3
|
| 46 |
+
]
|
| 47 |
+
},
|
| 48 |
+
"S3": {
|
| 49 |
+
"V1": [
|
| 50 |
+
0,
|
| 51 |
+
0
|
| 52 |
+
],
|
| 53 |
+
"V2": [
|
| 54 |
+
3,
|
| 55 |
+
0
|
| 56 |
+
],
|
| 57 |
+
"V3": [
|
| 58 |
+
3,
|
| 59 |
+
2
|
| 60 |
+
],
|
| 61 |
+
"V4": [
|
| 62 |
+
0,
|
| 63 |
+
2
|
| 64 |
+
]
|
| 65 |
+
},
|
| 66 |
+
"S4": {
|
| 67 |
+
"V1": [
|
| 68 |
+
0,
|
| 69 |
+
0
|
| 70 |
+
],
|
| 71 |
+
"V2": [
|
| 72 |
+
2,
|
| 73 |
+
0
|
| 74 |
+
],
|
| 75 |
+
"V3": [
|
| 76 |
+
0,
|
| 77 |
+
2
|
| 78 |
+
]
|
| 79 |
+
},
|
| 80 |
+
"S5": {
|
| 81 |
+
"V1": [
|
| 82 |
+
0,
|
| 83 |
+
0
|
| 84 |
+
],
|
| 85 |
+
"V2": [
|
| 86 |
+
2,
|
| 87 |
+
0
|
| 88 |
+
],
|
| 89 |
+
"V3": [
|
| 90 |
+
2,
|
| 91 |
+
1
|
| 92 |
+
],
|
| 93 |
+
"V4": [
|
| 94 |
+
1,
|
| 95 |
+
1
|
| 96 |
+
],
|
| 97 |
+
"V5": [
|
| 98 |
+
1,
|
| 99 |
+
3
|
| 100 |
+
],
|
| 101 |
+
"V6": [
|
| 102 |
+
0,
|
| 103 |
+
3
|
| 104 |
+
]
|
| 105 |
+
},
|
| 106 |
+
"S6": {
|
| 107 |
+
"V1": [
|
| 108 |
+
0,
|
| 109 |
+
0
|
| 110 |
+
],
|
| 111 |
+
"V2": [
|
| 112 |
+
2,
|
| 113 |
+
0
|
| 114 |
+
],
|
| 115 |
+
"V3": [
|
| 116 |
+
0,
|
| 117 |
+
2
|
| 118 |
+
]
|
| 119 |
+
}
|
| 120 |
+
},
|
| 121 |
+
"target": [
|
| 122 |
+
{
|
| 123 |
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|
| 124 |
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[
|
| 125 |
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|
| 126 |
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|
| 127 |
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|
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[
|
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|
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|
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|
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[
|
| 133 |
+
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|
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|
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+
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|
| 136 |
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[
|
| 137 |
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|
| 138 |
+
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|
| 139 |
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]
|
| 140 |
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]
|
| 141 |
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|
| 142 |
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{
|
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"polygon": [
|
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[
|
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4,
|
| 146 |
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|
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|
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[
|
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|
| 150 |
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|
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|
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[
|
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2,
|
| 154 |
+
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|
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+
],
|
| 156 |
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[
|
| 157 |
+
3,
|
| 158 |
+
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|
| 159 |
+
],
|
| 160 |
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[
|
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+
3,
|
| 162 |
+
2
|
| 163 |
+
],
|
| 164 |
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[
|
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+
4,
|
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+
2
|
| 167 |
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]
|
| 168 |
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]
|
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},
|
| 170 |
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{
|
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"polygon": [
|
| 172 |
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[
|
| 173 |
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|
| 174 |
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3
|
| 175 |
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],
|
| 176 |
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[
|
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+
3,
|
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+
3
|
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+
],
|
| 180 |
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[
|
| 181 |
+
3,
|
| 182 |
+
1
|
| 183 |
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],
|
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[
|
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+
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|
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|
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]
|
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]
|
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},
|
| 190 |
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{
|
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"polygon": [
|
| 192 |
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[
|
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6,
|
| 194 |
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|
| 195 |
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|
| 196 |
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[
|
| 197 |
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|
| 198 |
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|
| 199 |
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],
|
| 200 |
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[
|
| 201 |
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6,
|
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2
|
| 203 |
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]
|
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]
|
| 205 |
+
}
|
| 206 |
+
],
|
| 207 |
+
"meta": {
|
| 208 |
+
"seed": 4206062,
|
| 209 |
+
"requiredShapeCount": 4,
|
| 210 |
+
"distractorShapeCount": 2,
|
| 211 |
+
"shapePoolComplexity": "medium",
|
| 212 |
+
"overlapAllowed": true,
|
| 213 |
+
"overlapRatio": 0.20332,
|
| 214 |
+
"contourComplexity": 79,
|
| 215 |
+
"connectedComponents": 1,
|
| 216 |
+
"fillRatio": 0.12,
|
| 217 |
+
"difficultyScore": 0.746722,
|
| 218 |
+
"rasterScale": 16,
|
| 219 |
+
"targetPackaging": "solution_xor_components",
|
| 220 |
+
"catalogIndex": 437,
|
| 221 |
+
"strictValidation": true
|
| 222 |
+
},
|
| 223 |
+
"imageAssets": {
|
| 224 |
+
"target": "../images/voi-436/target.png",
|
| 225 |
+
"shapes": {
|
| 226 |
+
"S1": "../images/voi-436/shape_S1.png",
|
| 227 |
+
"S2": "../images/voi-436/shape_S2.png",
|
| 228 |
+
"S3": "../images/voi-436/shape_S3.png",
|
| 229 |
+
"S4": "../images/voi-436/shape_S4.png",
|
| 230 |
+
"S5": "../images/voi-436/shape_S5.png",
|
| 231 |
+
"S6": "../images/voi-436/shape_S6.png"
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"ID": "voi-436",
|
| 235 |
+
"answer": {
|
| 236 |
+
"placements": [
|
| 237 |
+
{
|
| 238 |
+
"shape": "S1",
|
| 239 |
+
"angle": 270,
|
| 240 |
+
"vertex": "V1",
|
| 241 |
+
"grid": [
|
| 242 |
+
7,
|
| 243 |
+
1
|
| 244 |
+
]
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"shape": "S2",
|
| 248 |
+
"angle": 180,
|
| 249 |
+
"vertex": "V6",
|
| 250 |
+
"grid": [
|
| 251 |
+
4,
|
| 252 |
+
2
|
| 253 |
+
]
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"shape": "S3",
|
| 257 |
+
"angle": 180,
|
| 258 |
+
"vertex": "V4",
|
| 259 |
+
"grid": [
|
| 260 |
+
6,
|
| 261 |
+
1
|
| 262 |
+
]
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"shape": "S6",
|
| 266 |
+
"angle": 180,
|
| 267 |
+
"vertex": "V1",
|
| 268 |
+
"grid": [
|
| 269 |
+
6,
|
| 270 |
+
4
|
| 271 |
+
]
|
| 272 |
+
}
|
| 273 |
+
]
|
| 274 |
+
},
|
| 275 |
+
"legacy_answer": "S1 270 V1 [7,1]\nS2 180 V6 [4,2]\nS3 180 V4 [6,1]\nS6 180 V1 [6,4]",
|
| 276 |
+
"solutionText": "S1 270 V1 [7,1]\nS2 180 V6 [4,2]\nS3 180 V4 [6,1]\nS6 180 V1 [6,4]",
|
| 277 |
+
"prompt": {
|
| 278 |
+
"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 |
+
}
|
voi/data/voi-437.json
ADDED
|
@@ -0,0 +1,265 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
2
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
2
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
1,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
1,
|
| 33 |
+
3
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
3
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
1,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
0,
|
| 51 |
+
1
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
+
0,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V2": [
|
| 60 |
+
3,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
3,
|
| 65 |
+
1
|
| 66 |
+
],
|
| 67 |
+
"V4": [
|
| 68 |
+
0,
|
| 69 |
+
1
|
| 70 |
+
]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
+
"V1": [
|
| 74 |
+
0,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V2": [
|
| 78 |
+
3,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V3": [
|
| 82 |
+
3,
|
| 83 |
+
2
|
| 84 |
+
],
|
| 85 |
+
"V4": [
|
| 86 |
+
0,
|
| 87 |
+
2
|
| 88 |
+
]
|
| 89 |
+
},
|
| 90 |
+
"S6": {
|
| 91 |
+
"V1": [
|
| 92 |
+
0,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V2": [
|
| 96 |
+
3,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V3": [
|
| 100 |
+
3,
|
| 101 |
+
1
|
| 102 |
+
],
|
| 103 |
+
"V4": [
|
| 104 |
+
0,
|
| 105 |
+
1
|
| 106 |
+
]
|
| 107 |
+
}
|
| 108 |
+
},
|
| 109 |
+
"target": [
|
| 110 |
+
{
|
| 111 |
+
"polygon": [
|
| 112 |
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[
|
| 113 |
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3,
|
| 114 |
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6
|
| 115 |
+
],
|
| 116 |
+
[
|
| 117 |
+
5,
|
| 118 |
+
6
|
| 119 |
+
],
|
| 120 |
+
[
|
| 121 |
+
5,
|
| 122 |
+
8
|
| 123 |
+
],
|
| 124 |
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[
|
| 125 |
+
3,
|
| 126 |
+
8
|
| 127 |
+
]
|
| 128 |
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]
|
| 129 |
+
},
|
| 130 |
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{
|
| 131 |
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"polygon": [
|
| 132 |
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[
|
| 133 |
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5,
|
| 134 |
+
6
|
| 135 |
+
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|
| 136 |
+
[
|
| 137 |
+
2,
|
| 138 |
+
6
|
| 139 |
+
],
|
| 140 |
+
[
|
| 141 |
+
2,
|
| 142 |
+
5
|
| 143 |
+
],
|
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+
[
|
| 145 |
+
5,
|
| 146 |
+
5
|
| 147 |
+
]
|
| 148 |
+
]
|
| 149 |
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},
|
| 150 |
+
{
|
| 151 |
+
"polygon": [
|
| 152 |
+
[
|
| 153 |
+
4,
|
| 154 |
+
8
|
| 155 |
+
],
|
| 156 |
+
[
|
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+
1,
|
| 158 |
+
8
|
| 159 |
+
],
|
| 160 |
+
[
|
| 161 |
+
1,
|
| 162 |
+
6
|
| 163 |
+
],
|
| 164 |
+
[
|
| 165 |
+
4,
|
| 166 |
+
6
|
| 167 |
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]
|
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]
|
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},
|
| 170 |
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{
|
| 171 |
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"polygon": [
|
| 172 |
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[
|
| 173 |
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2,
|
| 174 |
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4
|
| 175 |
+
],
|
| 176 |
+
[
|
| 177 |
+
2,
|
| 178 |
+
7
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
1,
|
| 182 |
+
7
|
| 183 |
+
],
|
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+
[
|
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+
1,
|
| 186 |
+
4
|
| 187 |
+
]
|
| 188 |
+
]
|
| 189 |
+
}
|
| 190 |
+
],
|
| 191 |
+
"meta": {
|
| 192 |
+
"seed": 4206063,
|
| 193 |
+
"requiredShapeCount": 4,
|
| 194 |
+
"distractorShapeCount": 2,
|
| 195 |
+
"shapePoolComplexity": "medium",
|
| 196 |
+
"overlapAllowed": true,
|
| 197 |
+
"overlapRatio": 0.375,
|
| 198 |
+
"contourComplexity": 14,
|
| 199 |
+
"connectedComponents": 1,
|
| 200 |
+
"fillRatio": 0.1,
|
| 201 |
+
"difficultyScore": 0.7,
|
| 202 |
+
"rasterScale": 16,
|
| 203 |
+
"targetPackaging": "solution_xor_components",
|
| 204 |
+
"catalogIndex": 438,
|
| 205 |
+
"strictValidation": true
|
| 206 |
+
},
|
| 207 |
+
"imageAssets": {
|
| 208 |
+
"target": "../images/voi-437/target.png",
|
| 209 |
+
"shapes": {
|
| 210 |
+
"S1": "../images/voi-437/shape_S1.png",
|
| 211 |
+
"S2": "../images/voi-437/shape_S2.png",
|
| 212 |
+
"S3": "../images/voi-437/shape_S3.png",
|
| 213 |
+
"S4": "../images/voi-437/shape_S4.png",
|
| 214 |
+
"S5": "../images/voi-437/shape_S5.png",
|
| 215 |
+
"S6": "../images/voi-437/shape_S6.png"
|
| 216 |
+
}
|
| 217 |
+
},
|
| 218 |
+
"ID": "voi-437",
|
| 219 |
+
"answer": {
|
| 220 |
+
"placements": [
|
| 221 |
+
{
|
| 222 |
+
"shape": "S1",
|
| 223 |
+
"angle": 0,
|
| 224 |
+
"vertex": "V1",
|
| 225 |
+
"grid": [
|
| 226 |
+
3,
|
| 227 |
+
6
|
| 228 |
+
]
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"shape": "S4",
|
| 232 |
+
"angle": 180,
|
| 233 |
+
"vertex": "V2",
|
| 234 |
+
"grid": [
|
| 235 |
+
2,
|
| 236 |
+
6
|
| 237 |
+
]
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"shape": "S5",
|
| 241 |
+
"angle": 180,
|
| 242 |
+
"vertex": "V1",
|
| 243 |
+
"grid": [
|
| 244 |
+
4,
|
| 245 |
+
8
|
| 246 |
+
]
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"shape": "S6",
|
| 250 |
+
"angle": 270,
|
| 251 |
+
"vertex": "V3",
|
| 252 |
+
"grid": [
|
| 253 |
+
1,
|
| 254 |
+
7
|
| 255 |
+
]
|
| 256 |
+
}
|
| 257 |
+
]
|
| 258 |
+
},
|
| 259 |
+
"legacy_answer": "S1 0 V1 [3,6]\nS4 180 V2 [2,6]\nS5 180 V1 [4,8]\nS6 270 V3 [1,7]",
|
| 260 |
+
"solutionText": "S1 0 V1 [3,6]\nS4 180 V2 [2,6]\nS5 180 V1 [4,8]\nS6 270 V3 [1,7]",
|
| 261 |
+
"prompt": {
|
| 262 |
+
"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
|
@@ -0,0 +1,265 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
1
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
1,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
1,
|
| 33 |
+
2
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
2
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
2,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
0,
|
| 51 |
+
2
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
+
0,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V2": [
|
| 60 |
+
3,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
3,
|
| 65 |
+
1
|
| 66 |
+
],
|
| 67 |
+
"V4": [
|
| 68 |
+
0,
|
| 69 |
+
1
|
| 70 |
+
]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
+
"V1": [
|
| 74 |
+
0,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V2": [
|
| 78 |
+
3,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V3": [
|
| 82 |
+
3,
|
| 83 |
+
2
|
| 84 |
+
],
|
| 85 |
+
"V4": [
|
| 86 |
+
0,
|
| 87 |
+
2
|
| 88 |
+
]
|
| 89 |
+
},
|
| 90 |
+
"S6": {
|
| 91 |
+
"V1": [
|
| 92 |
+
0,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V2": [
|
| 96 |
+
3,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V3": [
|
| 100 |
+
3,
|
| 101 |
+
1
|
| 102 |
+
],
|
| 103 |
+
"V4": [
|
| 104 |
+
0,
|
| 105 |
+
1
|
| 106 |
+
]
|
| 107 |
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}
|
| 108 |
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},
|
| 109 |
+
"target": [
|
| 110 |
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{
|
| 111 |
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"polygon": [
|
| 112 |
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[
|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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[
|
| 117 |
+
6,
|
| 118 |
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|
| 119 |
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],
|
| 120 |
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[
|
| 121 |
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6,
|
| 122 |
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4
|
| 123 |
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],
|
| 124 |
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[
|
| 125 |
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5,
|
| 126 |
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|
| 127 |
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]
|
| 128 |
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]
|
| 129 |
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|
| 130 |
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{
|
| 131 |
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"polygon": [
|
| 132 |
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[
|
| 133 |
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4,
|
| 134 |
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7
|
| 135 |
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|
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[
|
| 137 |
+
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|
| 138 |
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4
|
| 139 |
+
],
|
| 140 |
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[
|
| 141 |
+
5,
|
| 142 |
+
4
|
| 143 |
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],
|
| 144 |
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[
|
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+
5,
|
| 146 |
+
7
|
| 147 |
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]
|
| 148 |
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]
|
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},
|
| 150 |
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{
|
| 151 |
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"polygon": [
|
| 152 |
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[
|
| 153 |
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5,
|
| 154 |
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1
|
| 155 |
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],
|
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[
|
| 157 |
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5,
|
| 158 |
+
4
|
| 159 |
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],
|
| 160 |
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[
|
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3,
|
| 162 |
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4
|
| 163 |
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],
|
| 164 |
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[
|
| 165 |
+
3,
|
| 166 |
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1
|
| 167 |
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]
|
| 168 |
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]
|
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},
|
| 170 |
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{
|
| 171 |
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"polygon": [
|
| 172 |
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[
|
| 173 |
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3,
|
| 174 |
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5
|
| 175 |
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],
|
| 176 |
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[
|
| 177 |
+
3,
|
| 178 |
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2
|
| 179 |
+
],
|
| 180 |
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[
|
| 181 |
+
4,
|
| 182 |
+
2
|
| 183 |
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],
|
| 184 |
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[
|
| 185 |
+
4,
|
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+
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|
| 187 |
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]
|
| 188 |
+
]
|
| 189 |
+
}
|
| 190 |
+
],
|
| 191 |
+
"meta": {
|
| 192 |
+
"seed": 4206064,
|
| 193 |
+
"requiredShapeCount": 4,
|
| 194 |
+
"distractorShapeCount": 2,
|
| 195 |
+
"shapePoolComplexity": "medium",
|
| 196 |
+
"overlapAllowed": true,
|
| 197 |
+
"overlapRatio": 0.285714,
|
| 198 |
+
"contourComplexity": 14,
|
| 199 |
+
"connectedComponents": 1,
|
| 200 |
+
"fillRatio": 0.1,
|
| 201 |
+
"difficultyScore": 0.457143,
|
| 202 |
+
"rasterScale": 16,
|
| 203 |
+
"targetPackaging": "solution_xor_components",
|
| 204 |
+
"catalogIndex": 439,
|
| 205 |
+
"strictValidation": true
|
| 206 |
+
},
|
| 207 |
+
"imageAssets": {
|
| 208 |
+
"target": "../images/voi-438/target.png",
|
| 209 |
+
"shapes": {
|
| 210 |
+
"S1": "../images/voi-438/shape_S1.png",
|
| 211 |
+
"S2": "../images/voi-438/shape_S2.png",
|
| 212 |
+
"S3": "../images/voi-438/shape_S3.png",
|
| 213 |
+
"S4": "../images/voi-438/shape_S4.png",
|
| 214 |
+
"S5": "../images/voi-438/shape_S5.png",
|
| 215 |
+
"S6": "../images/voi-438/shape_S6.png"
|
| 216 |
+
}
|
| 217 |
+
},
|
| 218 |
+
"ID": "voi-438",
|
| 219 |
+
"answer": {
|
| 220 |
+
"placements": [
|
| 221 |
+
{
|
| 222 |
+
"shape": "S2",
|
| 223 |
+
"angle": 0,
|
| 224 |
+
"vertex": "V2",
|
| 225 |
+
"grid": [
|
| 226 |
+
6,
|
| 227 |
+
2
|
| 228 |
+
]
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"shape": "S4",
|
| 232 |
+
"angle": 90,
|
| 233 |
+
"vertex": "V4",
|
| 234 |
+
"grid": [
|
| 235 |
+
5,
|
| 236 |
+
7
|
| 237 |
+
]
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"shape": "S5",
|
| 241 |
+
"angle": 270,
|
| 242 |
+
"vertex": "V1",
|
| 243 |
+
"grid": [
|
| 244 |
+
5,
|
| 245 |
+
1
|
| 246 |
+
]
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"shape": "S6",
|
| 250 |
+
"angle": 90,
|
| 251 |
+
"vertex": "V4",
|
| 252 |
+
"grid": [
|
| 253 |
+
4,
|
| 254 |
+
5
|
| 255 |
+
]
|
| 256 |
+
}
|
| 257 |
+
]
|
| 258 |
+
},
|
| 259 |
+
"legacy_answer": "S2 0 V2 [6,2]\nS4 90 V4 [5,7]\nS5 270 V1 [5,1]\nS6 90 V4 [4,5]",
|
| 260 |
+
"solutionText": "S2 0 V2 [6,2]\nS4 90 V4 [5,7]\nS5 270 V1 [5,1]\nS6 90 V4 [4,5]",
|
| 261 |
+
"prompt": {
|
| 262 |
+
"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 |
+
}
|
| 265 |
+
}
|
voi/data/voi-439.json
ADDED
|
@@ -0,0 +1,269 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
1
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
1,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
1,
|
| 33 |
+
3
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
3
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
2,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
2,
|
| 51 |
+
2
|
| 52 |
+
],
|
| 53 |
+
"V4": [
|
| 54 |
+
0,
|
| 55 |
+
2
|
| 56 |
+
]
|
| 57 |
+
},
|
| 58 |
+
"S4": {
|
| 59 |
+
"V1": [
|
| 60 |
+
0,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V2": [
|
| 64 |
+
3,
|
| 65 |
+
0
|
| 66 |
+
],
|
| 67 |
+
"V3": [
|
| 68 |
+
3,
|
| 69 |
+
1
|
| 70 |
+
],
|
| 71 |
+
"V4": [
|
| 72 |
+
0,
|
| 73 |
+
1
|
| 74 |
+
]
|
| 75 |
+
},
|
| 76 |
+
"S5": {
|
| 77 |
+
"V1": [
|
| 78 |
+
0,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V2": [
|
| 82 |
+
2,
|
| 83 |
+
0
|
| 84 |
+
],
|
| 85 |
+
"V3": [
|
| 86 |
+
2,
|
| 87 |
+
2
|
| 88 |
+
],
|
| 89 |
+
"V4": [
|
| 90 |
+
0,
|
| 91 |
+
2
|
| 92 |
+
]
|
| 93 |
+
},
|
| 94 |
+
"S6": {
|
| 95 |
+
"V1": [
|
| 96 |
+
0,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V2": [
|
| 100 |
+
3,
|
| 101 |
+
0
|
| 102 |
+
],
|
| 103 |
+
"V3": [
|
| 104 |
+
3,
|
| 105 |
+
2
|
| 106 |
+
],
|
| 107 |
+
"V4": [
|
| 108 |
+
0,
|
| 109 |
+
2
|
| 110 |
+
]
|
| 111 |
+
}
|
| 112 |
+
},
|
| 113 |
+
"target": [
|
| 114 |
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{
|
| 115 |
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"polygon": [
|
| 116 |
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[
|
| 117 |
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8,
|
| 118 |
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|
| 119 |
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|
| 120 |
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[
|
| 121 |
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8,
|
| 122 |
+
9
|
| 123 |
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],
|
| 124 |
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[
|
| 125 |
+
7,
|
| 126 |
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9
|
| 127 |
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],
|
| 128 |
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[
|
| 129 |
+
7,
|
| 130 |
+
7
|
| 131 |
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]
|
| 132 |
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]
|
| 133 |
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},
|
| 134 |
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{
|
| 135 |
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"polygon": [
|
| 136 |
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[
|
| 137 |
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7,
|
| 138 |
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9
|
| 139 |
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],
|
| 140 |
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[
|
| 141 |
+
6,
|
| 142 |
+
9
|
| 143 |
+
],
|
| 144 |
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[
|
| 145 |
+
6,
|
| 146 |
+
6
|
| 147 |
+
],
|
| 148 |
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[
|
| 149 |
+
7,
|
| 150 |
+
6
|
| 151 |
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]
|
| 152 |
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]
|
| 153 |
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},
|
| 154 |
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{
|
| 155 |
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"polygon": [
|
| 156 |
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[
|
| 157 |
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5,
|
| 158 |
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8
|
| 159 |
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],
|
| 160 |
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[
|
| 161 |
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5,
|
| 162 |
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6
|
| 163 |
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],
|
| 164 |
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[
|
| 165 |
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7,
|
| 166 |
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6
|
| 167 |
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],
|
| 168 |
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[
|
| 169 |
+
7,
|
| 170 |
+
8
|
| 171 |
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]
|
| 172 |
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]
|
| 173 |
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},
|
| 174 |
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{
|
| 175 |
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"polygon": [
|
| 176 |
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[
|
| 177 |
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7,
|
| 178 |
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6
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
4,
|
| 182 |
+
6
|
| 183 |
+
],
|
| 184 |
+
[
|
| 185 |
+
4,
|
| 186 |
+
4
|
| 187 |
+
],
|
| 188 |
+
[
|
| 189 |
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7,
|
| 190 |
+
4
|
| 191 |
+
]
|
| 192 |
+
]
|
| 193 |
+
}
|
| 194 |
+
],
|
| 195 |
+
"meta": {
|
| 196 |
+
"seed": 4206065,
|
| 197 |
+
"requiredShapeCount": 4,
|
| 198 |
+
"distractorShapeCount": 2,
|
| 199 |
+
"shapePoolComplexity": "medium",
|
| 200 |
+
"overlapAllowed": true,
|
| 201 |
+
"overlapRatio": 0.266667,
|
| 202 |
+
"contourComplexity": 14,
|
| 203 |
+
"connectedComponents": 2,
|
| 204 |
+
"fillRatio": 0.11,
|
| 205 |
+
"difficultyScore": 0.763333,
|
| 206 |
+
"rasterScale": 16,
|
| 207 |
+
"targetPackaging": "solution_xor_components",
|
| 208 |
+
"catalogIndex": 440,
|
| 209 |
+
"strictValidation": true
|
| 210 |
+
},
|
| 211 |
+
"imageAssets": {
|
| 212 |
+
"target": "../images/voi-439/target.png",
|
| 213 |
+
"shapes": {
|
| 214 |
+
"S1": "../images/voi-439/shape_S1.png",
|
| 215 |
+
"S2": "../images/voi-439/shape_S2.png",
|
| 216 |
+
"S3": "../images/voi-439/shape_S3.png",
|
| 217 |
+
"S4": "../images/voi-439/shape_S4.png",
|
| 218 |
+
"S5": "../images/voi-439/shape_S5.png",
|
| 219 |
+
"S6": "../images/voi-439/shape_S6.png"
|
| 220 |
+
}
|
| 221 |
+
},
|
| 222 |
+
"ID": "voi-439",
|
| 223 |
+
"answer": {
|
| 224 |
+
"placements": [
|
| 225 |
+
{
|
| 226 |
+
"shape": "S1",
|
| 227 |
+
"angle": 270,
|
| 228 |
+
"vertex": "V1",
|
| 229 |
+
"grid": [
|
| 230 |
+
8,
|
| 231 |
+
7
|
| 232 |
+
]
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"shape": "S2",
|
| 236 |
+
"angle": 180,
|
| 237 |
+
"vertex": "V1",
|
| 238 |
+
"grid": [
|
| 239 |
+
7,
|
| 240 |
+
9
|
| 241 |
+
]
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"shape": "S5",
|
| 245 |
+
"angle": 90,
|
| 246 |
+
"vertex": "V1",
|
| 247 |
+
"grid": [
|
| 248 |
+
5,
|
| 249 |
+
8
|
| 250 |
+
]
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"shape": "S6",
|
| 254 |
+
"angle": 180,
|
| 255 |
+
"vertex": "V4",
|
| 256 |
+
"grid": [
|
| 257 |
+
7,
|
| 258 |
+
4
|
| 259 |
+
]
|
| 260 |
+
}
|
| 261 |
+
]
|
| 262 |
+
},
|
| 263 |
+
"legacy_answer": "S1 270 V1 [8,7]\nS2 180 V1 [7,9]\nS5 90 V1 [5,8]\nS6 180 V4 [7,4]",
|
| 264 |
+
"solutionText": "S1 270 V1 [8,7]\nS2 180 V1 [7,9]\nS5 90 V1 [5,8]\nS6 180 V4 [7,4]",
|
| 265 |
+
"prompt": {
|
| 266 |
+
"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 |
+
}
|
voi/data/voi-440.json
ADDED
|
@@ -0,0 +1,301 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
1,
|
| 19 |
+
1
|
| 20 |
+
],
|
| 21 |
+
"V5": [
|
| 22 |
+
1,
|
| 23 |
+
3
|
| 24 |
+
],
|
| 25 |
+
"V6": [
|
| 26 |
+
0,
|
| 27 |
+
3
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"S2": {
|
| 31 |
+
"V1": [
|
| 32 |
+
0,
|
| 33 |
+
0
|
| 34 |
+
],
|
| 35 |
+
"V2": [
|
| 36 |
+
1,
|
| 37 |
+
0
|
| 38 |
+
],
|
| 39 |
+
"V3": [
|
| 40 |
+
1,
|
| 41 |
+
1
|
| 42 |
+
],
|
| 43 |
+
"V4": [
|
| 44 |
+
0,
|
| 45 |
+
1
|
| 46 |
+
]
|
| 47 |
+
},
|
| 48 |
+
"S3": {
|
| 49 |
+
"V1": [
|
| 50 |
+
0,
|
| 51 |
+
0
|
| 52 |
+
],
|
| 53 |
+
"V2": [
|
| 54 |
+
2,
|
| 55 |
+
0
|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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],
|
| 61 |
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|
| 62 |
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1,
|
| 63 |
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1
|
| 64 |
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],
|
| 65 |
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"V5": [
|
| 66 |
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1,
|
| 67 |
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3
|
| 68 |
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],
|
| 69 |
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"V6": [
|
| 70 |
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0,
|
| 71 |
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3
|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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"S5": {
|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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"V3": [
|
| 102 |
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|
| 103 |
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|
| 104 |
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|
| 105 |
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"V4": [
|
| 106 |
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0,
|
| 107 |
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2
|
| 108 |
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|
| 109 |
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|
| 110 |
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"S6": {
|
| 111 |
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|
| 112 |
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0,
|
| 113 |
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0
|
| 114 |
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|
| 115 |
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"V2": [
|
| 116 |
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2,
|
| 117 |
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0
|
| 118 |
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|
| 119 |
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"V3": [
|
| 120 |
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2,
|
| 121 |
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2
|
| 122 |
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],
|
| 123 |
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"V4": [
|
| 124 |
+
0,
|
| 125 |
+
2
|
| 126 |
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]
|
| 127 |
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}
|
| 128 |
+
},
|
| 129 |
+
"target": [
|
| 130 |
+
{
|
| 131 |
+
"polygon": [
|
| 132 |
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[
|
| 133 |
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5,
|
| 134 |
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3
|
| 135 |
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],
|
| 136 |
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[
|
| 137 |
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5,
|
| 138 |
+
5
|
| 139 |
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],
|
| 140 |
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[
|
| 141 |
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4,
|
| 142 |
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5
|
| 143 |
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],
|
| 144 |
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[
|
| 145 |
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4,
|
| 146 |
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4
|
| 147 |
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],
|
| 148 |
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[
|
| 149 |
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2,
|
| 150 |
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4
|
| 151 |
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|
| 152 |
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[
|
| 153 |
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2,
|
| 154 |
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3
|
| 155 |
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|
| 156 |
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|
| 157 |
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|
| 158 |
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{
|
| 159 |
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|
| 160 |
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[
|
| 161 |
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|
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|
| 163 |
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|
| 164 |
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[
|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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[
|
| 169 |
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|
| 170 |
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1
|
| 171 |
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|
| 172 |
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[
|
| 173 |
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1,
|
| 174 |
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2
|
| 175 |
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],
|
| 176 |
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[
|
| 177 |
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3,
|
| 178 |
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2
|
| 179 |
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],
|
| 180 |
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[
|
| 181 |
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3,
|
| 182 |
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3
|
| 183 |
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]
|
| 184 |
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]
|
| 185 |
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},
|
| 186 |
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{
|
| 187 |
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"polygon": [
|
| 188 |
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[
|
| 189 |
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4,
|
| 190 |
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3
|
| 191 |
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|
| 192 |
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[
|
| 193 |
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4,
|
| 194 |
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6
|
| 195 |
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],
|
| 196 |
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[
|
| 197 |
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2,
|
| 198 |
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6
|
| 199 |
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],
|
| 200 |
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[
|
| 201 |
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2,
|
| 202 |
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3
|
| 203 |
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]
|
| 204 |
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]
|
| 205 |
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},
|
| 206 |
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{
|
| 207 |
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"polygon": [
|
| 208 |
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[
|
| 209 |
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2,
|
| 210 |
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3
|
| 211 |
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|
| 212 |
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[
|
| 213 |
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2,
|
| 214 |
+
5
|
| 215 |
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],
|
| 216 |
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[
|
| 217 |
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0,
|
| 218 |
+
5
|
| 219 |
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],
|
| 220 |
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[
|
| 221 |
+
0,
|
| 222 |
+
3
|
| 223 |
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]
|
| 224 |
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]
|
| 225 |
+
}
|
| 226 |
+
],
|
| 227 |
+
"meta": {
|
| 228 |
+
"seed": 4206066,
|
| 229 |
+
"requiredShapeCount": 4,
|
| 230 |
+
"distractorShapeCount": 2,
|
| 231 |
+
"shapePoolComplexity": "medium",
|
| 232 |
+
"overlapAllowed": true,
|
| 233 |
+
"overlapRatio": 0.222222,
|
| 234 |
+
"contourComplexity": 16,
|
| 235 |
+
"connectedComponents": 1,
|
| 236 |
+
"fillRatio": 0.14,
|
| 237 |
+
"difficultyScore": 0.631111,
|
| 238 |
+
"rasterScale": 16,
|
| 239 |
+
"targetPackaging": "solution_xor_components",
|
| 240 |
+
"catalogIndex": 441,
|
| 241 |
+
"strictValidation": true
|
| 242 |
+
},
|
| 243 |
+
"imageAssets": {
|
| 244 |
+
"target": "../images/voi-440/target.png",
|
| 245 |
+
"shapes": {
|
| 246 |
+
"S1": "../images/voi-440/shape_S1.png",
|
| 247 |
+
"S2": "../images/voi-440/shape_S2.png",
|
| 248 |
+
"S3": "../images/voi-440/shape_S3.png",
|
| 249 |
+
"S4": "../images/voi-440/shape_S4.png",
|
| 250 |
+
"S5": "../images/voi-440/shape_S5.png",
|
| 251 |
+
"S6": "../images/voi-440/shape_S6.png"
|
| 252 |
+
}
|
| 253 |
+
},
|
| 254 |
+
"ID": "voi-440",
|
| 255 |
+
"answer": {
|
| 256 |
+
"placements": [
|
| 257 |
+
{
|
| 258 |
+
"shape": "S1",
|
| 259 |
+
"angle": 270,
|
| 260 |
+
"vertex": "V2",
|
| 261 |
+
"grid": [
|
| 262 |
+
5,
|
| 263 |
+
5
|
| 264 |
+
]
|
| 265 |
+
},
|
| 266 |
+
{
|
| 267 |
+
"shape": "S3",
|
| 268 |
+
"angle": 90,
|
| 269 |
+
"vertex": "V2",
|
| 270 |
+
"grid": [
|
| 271 |
+
0,
|
| 272 |
+
1
|
| 273 |
+
]
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"shape": "S4",
|
| 277 |
+
"angle": 270,
|
| 278 |
+
"vertex": "V1",
|
| 279 |
+
"grid": [
|
| 280 |
+
4,
|
| 281 |
+
3
|
| 282 |
+
]
|
| 283 |
+
},
|
| 284 |
+
{
|
| 285 |
+
"shape": "S6",
|
| 286 |
+
"angle": 270,
|
| 287 |
+
"vertex": "V3",
|
| 288 |
+
"grid": [
|
| 289 |
+
0,
|
| 290 |
+
5
|
| 291 |
+
]
|
| 292 |
+
}
|
| 293 |
+
]
|
| 294 |
+
},
|
| 295 |
+
"legacy_answer": "S1 270 V2 [5,5]\nS3 90 V2 [0,1]\nS4 270 V1 [4,3]\nS6 270 V3 [0,5]",
|
| 296 |
+
"solutionText": "S1 270 V2 [5,5]\nS3 90 V2 [0,1]\nS4 270 V1 [4,3]\nS6 270 V3 [0,5]",
|
| 297 |
+
"prompt": {
|
| 298 |
+
"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.",
|
| 299 |
+
"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."
|
| 300 |
+
}
|
| 301 |
+
}
|
voi/data/voi-441.json
ADDED
|
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| 1 |
+
{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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| 22 |
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|
| 23 |
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|
| 24 |
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|
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|
| 26 |
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| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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|
| 32 |
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|
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
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|
| 44 |
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|
| 46 |
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|
| 48 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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| 65 |
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| 66 |
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|
| 67 |
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|
| 68 |
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| 72 |
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| 73 |
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| 74 |
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|
| 75 |
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| 76 |
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| 77 |
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| 78 |
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| 79 |
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|
| 80 |
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|
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|
| 85 |
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|
| 86 |
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|
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|
| 90 |
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| 91 |
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| 92 |
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| 93 |
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|
| 94 |
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|
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| 96 |
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| 97 |
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"V4": [
|
| 98 |
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|
| 99 |
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|
| 100 |
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|
| 101 |
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| 102 |
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"S6": {
|
| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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3,
|
| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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3,
|
| 113 |
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1
|
| 114 |
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|
| 115 |
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"V4": [
|
| 116 |
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0,
|
| 117 |
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1
|
| 118 |
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|
| 119 |
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}
|
| 120 |
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},
|
| 121 |
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"target": [
|
| 122 |
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{
|
| 123 |
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"polygon": [
|
| 124 |
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[
|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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[
|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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[
|
| 133 |
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|
| 134 |
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3
|
| 135 |
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|
| 136 |
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[
|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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{
|
| 143 |
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"polygon": [
|
| 144 |
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[
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| 145 |
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|
| 146 |
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|
| 147 |
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| 148 |
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[
|
| 149 |
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|
| 150 |
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|
| 151 |
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|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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[
|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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{
|
| 163 |
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"polygon": [
|
| 164 |
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[
|
| 165 |
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|
| 166 |
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|
| 167 |
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|
| 168 |
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[
|
| 169 |
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|
| 170 |
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|
| 171 |
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|
| 172 |
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[
|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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[
|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 180 |
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[
|
| 181 |
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|
| 182 |
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1
|
| 183 |
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],
|
| 184 |
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[
|
| 185 |
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10,
|
| 186 |
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2
|
| 187 |
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|
| 188 |
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|
| 189 |
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},
|
| 190 |
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{
|
| 191 |
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"polygon": [
|
| 192 |
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[
|
| 193 |
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|
| 194 |
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|
| 195 |
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|
| 196 |
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[
|
| 197 |
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10,
|
| 198 |
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0
|
| 199 |
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],
|
| 200 |
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[
|
| 201 |
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10,
|
| 202 |
+
1
|
| 203 |
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],
|
| 204 |
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[
|
| 205 |
+
7,
|
| 206 |
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1
|
| 207 |
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]
|
| 208 |
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]
|
| 209 |
+
}
|
| 210 |
+
],
|
| 211 |
+
"meta": {
|
| 212 |
+
"seed": 4206067,
|
| 213 |
+
"requiredShapeCount": 4,
|
| 214 |
+
"distractorShapeCount": 2,
|
| 215 |
+
"shapePoolComplexity": "medium",
|
| 216 |
+
"overlapAllowed": true,
|
| 217 |
+
"overlapRatio": 0.25,
|
| 218 |
+
"contourComplexity": 12,
|
| 219 |
+
"connectedComponents": 2,
|
| 220 |
+
"fillRatio": 0.12,
|
| 221 |
+
"difficultyScore": 0.81,
|
| 222 |
+
"rasterScale": 16,
|
| 223 |
+
"targetPackaging": "solution_xor_components",
|
| 224 |
+
"catalogIndex": 442,
|
| 225 |
+
"strictValidation": true
|
| 226 |
+
},
|
| 227 |
+
"imageAssets": {
|
| 228 |
+
"target": "../images/voi-441/target.png",
|
| 229 |
+
"shapes": {
|
| 230 |
+
"S1": "../images/voi-441/shape_S1.png",
|
| 231 |
+
"S2": "../images/voi-441/shape_S2.png",
|
| 232 |
+
"S3": "../images/voi-441/shape_S3.png",
|
| 233 |
+
"S4": "../images/voi-441/shape_S4.png",
|
| 234 |
+
"S5": "../images/voi-441/shape_S5.png",
|
| 235 |
+
"S6": "../images/voi-441/shape_S6.png"
|
| 236 |
+
}
|
| 237 |
+
},
|
| 238 |
+
"ID": "voi-441",
|
| 239 |
+
"answer": {
|
| 240 |
+
"placements": [
|
| 241 |
+
{
|
| 242 |
+
"shape": "S1",
|
| 243 |
+
"angle": 90,
|
| 244 |
+
"vertex": "V4",
|
| 245 |
+
"grid": [
|
| 246 |
+
3,
|
| 247 |
+
6
|
| 248 |
+
]
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"shape": "S2",
|
| 252 |
+
"angle": 0,
|
| 253 |
+
"vertex": "V4",
|
| 254 |
+
"grid": [
|
| 255 |
+
5,
|
| 256 |
+
2
|
| 257 |
+
]
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"shape": "S3",
|
| 261 |
+
"angle": 90,
|
| 262 |
+
"vertex": "V6",
|
| 263 |
+
"grid": [
|
| 264 |
+
10,
|
| 265 |
+
2
|
| 266 |
+
]
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"shape": "S6",
|
| 270 |
+
"angle": 0,
|
| 271 |
+
"vertex": "V4",
|
| 272 |
+
"grid": [
|
| 273 |
+
7,
|
| 274 |
+
1
|
| 275 |
+
]
|
| 276 |
+
}
|
| 277 |
+
]
|
| 278 |
+
},
|
| 279 |
+
"legacy_answer": "S1 90 V4 [3,6]\nS2 0 V4 [5,2]\nS3 90 V6 [10,2]\nS6 0 V4 [7,1]",
|
| 280 |
+
"solutionText": "S1 90 V4 [3,6]\nS2 0 V4 [5,2]\nS3 90 V6 [10,2]\nS6 0 V4 [7,1]",
|
| 281 |
+
"prompt": {
|
| 282 |
+
"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 |
+
}
|
| 285 |
+
}
|
voi/data/voi-442.json
ADDED
|
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|
| 1 |
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{
|
| 2 |
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"gridSize": 10,
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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0,
|
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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0,
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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0,
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"S4": {
|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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0
|
| 66 |
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|
| 67 |
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"V3": [
|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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"V4": [
|
| 72 |
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0,
|
| 73 |
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2
|
| 74 |
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|
| 75 |
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|
| 76 |
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"S5": {
|
| 77 |
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|
| 78 |
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0,
|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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2,
|
| 83 |
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0
|
| 84 |
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|
| 85 |
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"V3": [
|
| 86 |
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0,
|
| 87 |
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2
|
| 88 |
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|
| 89 |
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},
|
| 90 |
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"S6": {
|
| 91 |
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|
| 92 |
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0,
|
| 93 |
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|
| 94 |
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|
| 95 |
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"V2": [
|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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"V3": [
|
| 100 |
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2,
|
| 101 |
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2
|
| 102 |
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|
| 103 |
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"V4": [
|
| 104 |
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0,
|
| 105 |
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2
|
| 106 |
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|
| 107 |
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}
|
| 108 |
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},
|
| 109 |
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"target": [
|
| 110 |
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{
|
| 111 |
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|
| 112 |
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[
|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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[
|
| 117 |
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0,
|
| 118 |
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|
| 119 |
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|
| 120 |
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[
|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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[
|
| 125 |
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2,
|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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{
|
| 131 |
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|
| 132 |
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[
|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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[
|
| 137 |
+
4,
|
| 138 |
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5
|
| 139 |
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],
|
| 140 |
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[
|
| 141 |
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4,
|
| 142 |
+
7
|
| 143 |
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],
|
| 144 |
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[
|
| 145 |
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2,
|
| 146 |
+
7
|
| 147 |
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]
|
| 148 |
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]
|
| 149 |
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|
| 150 |
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{
|
| 151 |
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"polygon": [
|
| 152 |
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[
|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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[
|
| 157 |
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0,
|
| 158 |
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|
| 159 |
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],
|
| 160 |
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[
|
| 161 |
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2,
|
| 162 |
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8
|
| 163 |
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]
|
| 164 |
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]
|
| 165 |
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},
|
| 166 |
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{
|
| 167 |
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"polygon": [
|
| 168 |
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[
|
| 169 |
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|
| 170 |
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4
|
| 171 |
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],
|
| 172 |
+
[
|
| 173 |
+
7,
|
| 174 |
+
6
|
| 175 |
+
],
|
| 176 |
+
[
|
| 177 |
+
5,
|
| 178 |
+
6
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
5,
|
| 182 |
+
4
|
| 183 |
+
]
|
| 184 |
+
]
|
| 185 |
+
}
|
| 186 |
+
],
|
| 187 |
+
"meta": {
|
| 188 |
+
"seed": 4206068,
|
| 189 |
+
"requiredShapeCount": 4,
|
| 190 |
+
"distractorShapeCount": 2,
|
| 191 |
+
"shapePoolComplexity": "medium",
|
| 192 |
+
"overlapAllowed": true,
|
| 193 |
+
"overlapRatio": 0.256809,
|
| 194 |
+
"contourComplexity": 72,
|
| 195 |
+
"connectedComponents": 2,
|
| 196 |
+
"fillRatio": 0.119375,
|
| 197 |
+
"difficultyScore": 0.784013,
|
| 198 |
+
"rasterScale": 16,
|
| 199 |
+
"targetPackaging": "solution_xor_components",
|
| 200 |
+
"catalogIndex": 443,
|
| 201 |
+
"strictValidation": true
|
| 202 |
+
},
|
| 203 |
+
"imageAssets": {
|
| 204 |
+
"target": "../images/voi-442/target.png",
|
| 205 |
+
"shapes": {
|
| 206 |
+
"S1": "../images/voi-442/shape_S1.png",
|
| 207 |
+
"S2": "../images/voi-442/shape_S2.png",
|
| 208 |
+
"S3": "../images/voi-442/shape_S3.png",
|
| 209 |
+
"S4": "../images/voi-442/shape_S4.png",
|
| 210 |
+
"S5": "../images/voi-442/shape_S5.png",
|
| 211 |
+
"S6": "../images/voi-442/shape_S6.png"
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"ID": "voi-442",
|
| 215 |
+
"answer": {
|
| 216 |
+
"placements": [
|
| 217 |
+
{
|
| 218 |
+
"shape": "S1",
|
| 219 |
+
"angle": 90,
|
| 220 |
+
"vertex": "V2",
|
| 221 |
+
"grid": [
|
| 222 |
+
0,
|
| 223 |
+
5
|
| 224 |
+
]
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"shape": "S4",
|
| 228 |
+
"angle": 0,
|
| 229 |
+
"vertex": "V2",
|
| 230 |
+
"grid": [
|
| 231 |
+
4,
|
| 232 |
+
5
|
| 233 |
+
]
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"shape": "S5",
|
| 237 |
+
"angle": 90,
|
| 238 |
+
"vertex": "V1",
|
| 239 |
+
"grid": [
|
| 240 |
+
0,
|
| 241 |
+
8
|
| 242 |
+
]
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"shape": "S6",
|
| 246 |
+
"angle": 270,
|
| 247 |
+
"vertex": "V2",
|
| 248 |
+
"grid": [
|
| 249 |
+
7,
|
| 250 |
+
6
|
| 251 |
+
]
|
| 252 |
+
}
|
| 253 |
+
]
|
| 254 |
+
},
|
| 255 |
+
"legacy_answer": "S1 90 V2 [0,5]\nS4 0 V2 [4,5]\nS5 90 V1 [0,8]\nS6 270 V2 [7,6]",
|
| 256 |
+
"solutionText": "S1 90 V2 [0,5]\nS4 0 V2 [4,5]\nS5 90 V1 [0,8]\nS6 270 V2 [7,6]",
|
| 257 |
+
"prompt": {
|
| 258 |
+
"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."
|
| 260 |
+
}
|
| 261 |
+
}
|
voi/data/voi-443.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
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"inventory": {
|
| 4 |
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"S1": {
|
| 5 |
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|
| 6 |
+
0,
|
| 7 |
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|
| 8 |
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|
| 9 |
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"V2": [
|
| 10 |
+
3,
|
| 11 |
+
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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0,
|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
+
0,
|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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1,
|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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"S4": {
|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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0,
|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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"S5": {
|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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|
| 83 |
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0
|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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1
|
| 88 |
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|
| 89 |
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"V4": [
|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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"V5": [
|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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"V6": [
|
| 98 |
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0,
|
| 99 |
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3
|
| 100 |
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|
| 101 |
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|
| 102 |
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"S6": {
|
| 103 |
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"V1": [
|
| 104 |
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0,
|
| 105 |
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0
|
| 106 |
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|
| 107 |
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"V2": [
|
| 108 |
+
1,
|
| 109 |
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0
|
| 110 |
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|
| 111 |
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"V3": [
|
| 112 |
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0,
|
| 113 |
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1
|
| 114 |
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]
|
| 115 |
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}
|
| 116 |
+
},
|
| 117 |
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"target": [
|
| 118 |
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{
|
| 119 |
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"polygon": [
|
| 120 |
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[
|
| 121 |
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5,
|
| 122 |
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3
|
| 123 |
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|
| 124 |
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[
|
| 125 |
+
8,
|
| 126 |
+
3
|
| 127 |
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],
|
| 128 |
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[
|
| 129 |
+
8,
|
| 130 |
+
5
|
| 131 |
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|
| 132 |
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[
|
| 133 |
+
5,
|
| 134 |
+
5
|
| 135 |
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|
| 136 |
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]
|
| 137 |
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|
| 138 |
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{
|
| 139 |
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"polygon": [
|
| 140 |
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[
|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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[
|
| 145 |
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4,
|
| 146 |
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1
|
| 147 |
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|
| 148 |
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[
|
| 149 |
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|
| 150 |
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1
|
| 151 |
+
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|
| 152 |
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[
|
| 153 |
+
6,
|
| 154 |
+
2
|
| 155 |
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|
| 156 |
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]
|
| 157 |
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},
|
| 158 |
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{
|
| 159 |
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"polygon": [
|
| 160 |
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[
|
| 161 |
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|
| 162 |
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3
|
| 163 |
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|
| 164 |
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[
|
| 165 |
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6,
|
| 166 |
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4
|
| 167 |
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|
| 168 |
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[
|
| 169 |
+
4,
|
| 170 |
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4
|
| 171 |
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|
| 172 |
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[
|
| 173 |
+
4,
|
| 174 |
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3
|
| 175 |
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|
| 176 |
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|
| 177 |
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},
|
| 178 |
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{
|
| 179 |
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"polygon": [
|
| 180 |
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[
|
| 181 |
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5,
|
| 182 |
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6
|
| 183 |
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|
| 184 |
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[
|
| 185 |
+
3,
|
| 186 |
+
6
|
| 187 |
+
],
|
| 188 |
+
[
|
| 189 |
+
3,
|
| 190 |
+
5
|
| 191 |
+
],
|
| 192 |
+
[
|
| 193 |
+
4,
|
| 194 |
+
5
|
| 195 |
+
],
|
| 196 |
+
[
|
| 197 |
+
4,
|
| 198 |
+
3
|
| 199 |
+
],
|
| 200 |
+
[
|
| 201 |
+
5,
|
| 202 |
+
3
|
| 203 |
+
]
|
| 204 |
+
]
|
| 205 |
+
}
|
| 206 |
+
],
|
| 207 |
+
"meta": {
|
| 208 |
+
"seed": 4206069,
|
| 209 |
+
"requiredShapeCount": 4,
|
| 210 |
+
"distractorShapeCount": 2,
|
| 211 |
+
"shapePoolComplexity": "medium",
|
| 212 |
+
"overlapAllowed": true,
|
| 213 |
+
"overlapRatio": 0.285714,
|
| 214 |
+
"contourComplexity": 14,
|
| 215 |
+
"connectedComponents": 2,
|
| 216 |
+
"fillRatio": 0.1,
|
| 217 |
+
"difficultyScore": 0.707143,
|
| 218 |
+
"rasterScale": 16,
|
| 219 |
+
"targetPackaging": "solution_xor_components",
|
| 220 |
+
"catalogIndex": 444,
|
| 221 |
+
"strictValidation": true
|
| 222 |
+
},
|
| 223 |
+
"imageAssets": {
|
| 224 |
+
"target": "../images/voi-443/target.png",
|
| 225 |
+
"shapes": {
|
| 226 |
+
"S1": "../images/voi-443/shape_S1.png",
|
| 227 |
+
"S2": "../images/voi-443/shape_S2.png",
|
| 228 |
+
"S3": "../images/voi-443/shape_S3.png",
|
| 229 |
+
"S4": "../images/voi-443/shape_S4.png",
|
| 230 |
+
"S5": "../images/voi-443/shape_S5.png",
|
| 231 |
+
"S6": "../images/voi-443/shape_S6.png"
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"ID": "voi-443",
|
| 235 |
+
"answer": {
|
| 236 |
+
"placements": [
|
| 237 |
+
{
|
| 238 |
+
"shape": "S1",
|
| 239 |
+
"angle": 0,
|
| 240 |
+
"vertex": "V1",
|
| 241 |
+
"grid": [
|
| 242 |
+
5,
|
| 243 |
+
3
|
| 244 |
+
]
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"shape": "S3",
|
| 248 |
+
"angle": 90,
|
| 249 |
+
"vertex": "V3",
|
| 250 |
+
"grid": [
|
| 251 |
+
6,
|
| 252 |
+
1
|
| 253 |
+
]
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"shape": "S4",
|
| 257 |
+
"angle": 270,
|
| 258 |
+
"vertex": "V4",
|
| 259 |
+
"grid": [
|
| 260 |
+
4,
|
| 261 |
+
3
|
| 262 |
+
]
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"shape": "S5",
|
| 266 |
+
"angle": 180,
|
| 267 |
+
"vertex": "V1",
|
| 268 |
+
"grid": [
|
| 269 |
+
5,
|
| 270 |
+
6
|
| 271 |
+
]
|
| 272 |
+
}
|
| 273 |
+
]
|
| 274 |
+
},
|
| 275 |
+
"legacy_answer": "S1 0 V1 [5,3]\nS3 90 V3 [6,1]\nS4 270 V4 [4,3]\nS5 180 V1 [5,6]",
|
| 276 |
+
"solutionText": "S1 0 V1 [5,3]\nS3 90 V3 [6,1]\nS4 270 V4 [4,3]\nS5 180 V1 [5,6]",
|
| 277 |
+
"prompt": {
|
| 278 |
+
"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 |
+
}
|
voi/data/voi-444.json
ADDED
|
@@ -0,0 +1,261 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
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],
|
| 9 |
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"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
2
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
2
|
| 20 |
+
]
|
| 21 |
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},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
2,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
2,
|
| 33 |
+
1
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
1
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
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],
|
| 45 |
+
"V2": [
|
| 46 |
+
1,
|
| 47 |
+
0
|
| 48 |
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],
|
| 49 |
+
"V3": [
|
| 50 |
+
0,
|
| 51 |
+
1
|
| 52 |
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]
|
| 53 |
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},
|
| 54 |
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"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
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0,
|
| 57 |
+
0
|
| 58 |
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],
|
| 59 |
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"V2": [
|
| 60 |
+
3,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
3,
|
| 65 |
+
1
|
| 66 |
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],
|
| 67 |
+
"V4": [
|
| 68 |
+
0,
|
| 69 |
+
1
|
| 70 |
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]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
+
"V1": [
|
| 74 |
+
0,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V2": [
|
| 78 |
+
3,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V3": [
|
| 82 |
+
3,
|
| 83 |
+
2
|
| 84 |
+
],
|
| 85 |
+
"V4": [
|
| 86 |
+
0,
|
| 87 |
+
2
|
| 88 |
+
]
|
| 89 |
+
},
|
| 90 |
+
"S6": {
|
| 91 |
+
"V1": [
|
| 92 |
+
0,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V2": [
|
| 96 |
+
2,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V3": [
|
| 100 |
+
2,
|
| 101 |
+
2
|
| 102 |
+
],
|
| 103 |
+
"V4": [
|
| 104 |
+
0,
|
| 105 |
+
2
|
| 106 |
+
]
|
| 107 |
+
}
|
| 108 |
+
},
|
| 109 |
+
"target": [
|
| 110 |
+
{
|
| 111 |
+
"polygon": [
|
| 112 |
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[
|
| 113 |
+
6,
|
| 114 |
+
7
|
| 115 |
+
],
|
| 116 |
+
[
|
| 117 |
+
4,
|
| 118 |
+
7
|
| 119 |
+
],
|
| 120 |
+
[
|
| 121 |
+
4,
|
| 122 |
+
5
|
| 123 |
+
],
|
| 124 |
+
[
|
| 125 |
+
6,
|
| 126 |
+
5
|
| 127 |
+
]
|
| 128 |
+
]
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"polygon": [
|
| 132 |
+
[
|
| 133 |
+
3,
|
| 134 |
+
6
|
| 135 |
+
],
|
| 136 |
+
[
|
| 137 |
+
3,
|
| 138 |
+
5
|
| 139 |
+
],
|
| 140 |
+
[
|
| 141 |
+
4,
|
| 142 |
+
6
|
| 143 |
+
]
|
| 144 |
+
]
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"polygon": [
|
| 148 |
+
[
|
| 149 |
+
3,
|
| 150 |
+
5
|
| 151 |
+
],
|
| 152 |
+
[
|
| 153 |
+
3,
|
| 154 |
+
2
|
| 155 |
+
],
|
| 156 |
+
[
|
| 157 |
+
5,
|
| 158 |
+
2
|
| 159 |
+
],
|
| 160 |
+
[
|
| 161 |
+
5,
|
| 162 |
+
5
|
| 163 |
+
]
|
| 164 |
+
]
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"polygon": [
|
| 168 |
+
[
|
| 169 |
+
3,
|
| 170 |
+
3
|
| 171 |
+
],
|
| 172 |
+
[
|
| 173 |
+
3,
|
| 174 |
+
1
|
| 175 |
+
],
|
| 176 |
+
[
|
| 177 |
+
5,
|
| 178 |
+
1
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
5,
|
| 182 |
+
3
|
| 183 |
+
]
|
| 184 |
+
]
|
| 185 |
+
}
|
| 186 |
+
],
|
| 187 |
+
"meta": {
|
| 188 |
+
"seed": 4206070,
|
| 189 |
+
"requiredShapeCount": 4,
|
| 190 |
+
"distractorShapeCount": 2,
|
| 191 |
+
"shapePoolComplexity": "medium",
|
| 192 |
+
"overlapAllowed": true,
|
| 193 |
+
"overlapRatio": 0.275269,
|
| 194 |
+
"contourComplexity": 45,
|
| 195 |
+
"connectedComponents": 2,
|
| 196 |
+
"fillRatio": 0.105313,
|
| 197 |
+
"difficultyScore": 0.7383,
|
| 198 |
+
"rasterScale": 16,
|
| 199 |
+
"targetPackaging": "solution_xor_components",
|
| 200 |
+
"catalogIndex": 445,
|
| 201 |
+
"strictValidation": true
|
| 202 |
+
},
|
| 203 |
+
"imageAssets": {
|
| 204 |
+
"target": "../images/voi-444/target.png",
|
| 205 |
+
"shapes": {
|
| 206 |
+
"S1": "../images/voi-444/shape_S1.png",
|
| 207 |
+
"S2": "../images/voi-444/shape_S2.png",
|
| 208 |
+
"S3": "../images/voi-444/shape_S3.png",
|
| 209 |
+
"S4": "../images/voi-444/shape_S4.png",
|
| 210 |
+
"S5": "../images/voi-444/shape_S5.png",
|
| 211 |
+
"S6": "../images/voi-444/shape_S6.png"
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"ID": "voi-444",
|
| 215 |
+
"answer": {
|
| 216 |
+
"placements": [
|
| 217 |
+
{
|
| 218 |
+
"shape": "S1",
|
| 219 |
+
"angle": 180,
|
| 220 |
+
"vertex": "V4",
|
| 221 |
+
"grid": [
|
| 222 |
+
6,
|
| 223 |
+
5
|
| 224 |
+
]
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"shape": "S3",
|
| 228 |
+
"angle": 90,
|
| 229 |
+
"vertex": "V1",
|
| 230 |
+
"grid": [
|
| 231 |
+
3,
|
| 232 |
+
6
|
| 233 |
+
]
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"shape": "S5",
|
| 237 |
+
"angle": 90,
|
| 238 |
+
"vertex": "V4",
|
| 239 |
+
"grid": [
|
| 240 |
+
5,
|
| 241 |
+
5
|
| 242 |
+
]
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"shape": "S6",
|
| 246 |
+
"angle": 90,
|
| 247 |
+
"vertex": "V2",
|
| 248 |
+
"grid": [
|
| 249 |
+
3,
|
| 250 |
+
1
|
| 251 |
+
]
|
| 252 |
+
}
|
| 253 |
+
]
|
| 254 |
+
},
|
| 255 |
+
"legacy_answer": "S1 180 V4 [6,5]\nS3 90 V1 [3,6]\nS5 90 V4 [5,5]\nS6 90 V2 [3,1]",
|
| 256 |
+
"solutionText": "S1 180 V4 [6,5]\nS3 90 V1 [3,6]\nS5 90 V4 [5,5]\nS6 90 V2 [3,1]",
|
| 257 |
+
"prompt": {
|
| 258 |
+
"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 |
+
}
|
| 261 |
+
}
|
voi/data/voi-445.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
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|
| 4 |
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"S1": {
|
| 5 |
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"V1": [
|
| 6 |
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0,
|
| 7 |
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0
|
| 8 |
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|
| 9 |
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|
| 10 |
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2,
|
| 11 |
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0
|
| 12 |
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|
| 13 |
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|
| 14 |
+
0,
|
| 15 |
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2
|
| 16 |
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|
| 17 |
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|
| 18 |
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"S2": {
|
| 19 |
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|
| 20 |
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0,
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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2,
|
| 25 |
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0
|
| 26 |
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|
| 27 |
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|
| 28 |
+
2,
|
| 29 |
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1
|
| 30 |
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|
| 31 |
+
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|
| 32 |
+
0,
|
| 33 |
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1
|
| 34 |
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]
|
| 35 |
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|
| 36 |
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"S3": {
|
| 37 |
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"V1": [
|
| 38 |
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0,
|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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3,
|
| 43 |
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0
|
| 44 |
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|
| 45 |
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|
| 46 |
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3,
|
| 47 |
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1
|
| 48 |
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|
| 49 |
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"V4": [
|
| 50 |
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0,
|
| 51 |
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1
|
| 52 |
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]
|
| 53 |
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|
| 54 |
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"S4": {
|
| 55 |
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"V1": [
|
| 56 |
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0,
|
| 57 |
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0
|
| 58 |
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|
| 59 |
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"V2": [
|
| 60 |
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1,
|
| 61 |
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0
|
| 62 |
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|
| 63 |
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"V3": [
|
| 64 |
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1,
|
| 65 |
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3
|
| 66 |
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],
|
| 67 |
+
"V4": [
|
| 68 |
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0,
|
| 69 |
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3
|
| 70 |
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]
|
| 71 |
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|
| 72 |
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"S5": {
|
| 73 |
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"V1": [
|
| 74 |
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0,
|
| 75 |
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0
|
| 76 |
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|
| 77 |
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"V2": [
|
| 78 |
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2,
|
| 79 |
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0
|
| 80 |
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|
| 81 |
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"V3": [
|
| 82 |
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2,
|
| 83 |
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2
|
| 84 |
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],
|
| 85 |
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"V4": [
|
| 86 |
+
0,
|
| 87 |
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2
|
| 88 |
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]
|
| 89 |
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},
|
| 90 |
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"S6": {
|
| 91 |
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"V1": [
|
| 92 |
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0,
|
| 93 |
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0
|
| 94 |
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|
| 95 |
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"V2": [
|
| 96 |
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3,
|
| 97 |
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0
|
| 98 |
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|
| 99 |
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"V3": [
|
| 100 |
+
3,
|
| 101 |
+
2
|
| 102 |
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|
| 103 |
+
"V4": [
|
| 104 |
+
0,
|
| 105 |
+
2
|
| 106 |
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]
|
| 107 |
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}
|
| 108 |
+
},
|
| 109 |
+
"target": [
|
| 110 |
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{
|
| 111 |
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|
| 112 |
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[
|
| 113 |
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1,
|
| 114 |
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1
|
| 115 |
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|
| 116 |
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[
|
| 117 |
+
1,
|
| 118 |
+
3
|
| 119 |
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|
| 120 |
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[
|
| 121 |
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0,
|
| 122 |
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3
|
| 123 |
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|
| 124 |
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[
|
| 125 |
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0,
|
| 126 |
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1
|
| 127 |
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]
|
| 128 |
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|
| 129 |
+
},
|
| 130 |
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{
|
| 131 |
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"polygon": [
|
| 132 |
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[
|
| 133 |
+
8,
|
| 134 |
+
10
|
| 135 |
+
],
|
| 136 |
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[
|
| 137 |
+
7,
|
| 138 |
+
10
|
| 139 |
+
],
|
| 140 |
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[
|
| 141 |
+
7,
|
| 142 |
+
7
|
| 143 |
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],
|
| 144 |
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[
|
| 145 |
+
8,
|
| 146 |
+
7
|
| 147 |
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]
|
| 148 |
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]
|
| 149 |
+
},
|
| 150 |
+
{
|
| 151 |
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"polygon": [
|
| 152 |
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[
|
| 153 |
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0,
|
| 154 |
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0
|
| 155 |
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|
| 156 |
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[
|
| 157 |
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2,
|
| 158 |
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0
|
| 159 |
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],
|
| 160 |
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[
|
| 161 |
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2,
|
| 162 |
+
2
|
| 163 |
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],
|
| 164 |
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[
|
| 165 |
+
0,
|
| 166 |
+
2
|
| 167 |
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]
|
| 168 |
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]
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"polygon": [
|
| 172 |
+
[
|
| 173 |
+
3,
|
| 174 |
+
4
|
| 175 |
+
],
|
| 176 |
+
[
|
| 177 |
+
0,
|
| 178 |
+
4
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
0,
|
| 182 |
+
2
|
| 183 |
+
],
|
| 184 |
+
[
|
| 185 |
+
3,
|
| 186 |
+
2
|
| 187 |
+
]
|
| 188 |
+
]
|
| 189 |
+
}
|
| 190 |
+
],
|
| 191 |
+
"meta": {
|
| 192 |
+
"seed": 4206071,
|
| 193 |
+
"requiredShapeCount": 4,
|
| 194 |
+
"distractorShapeCount": 2,
|
| 195 |
+
"shapePoolComplexity": "medium",
|
| 196 |
+
"overlapAllowed": true,
|
| 197 |
+
"overlapRatio": 0.266667,
|
| 198 |
+
"contourComplexity": 14,
|
| 199 |
+
"connectedComponents": 2,
|
| 200 |
+
"fillRatio": 0.11,
|
| 201 |
+
"difficultyScore": 0.763333,
|
| 202 |
+
"rasterScale": 16,
|
| 203 |
+
"targetPackaging": "solution_xor_components",
|
| 204 |
+
"catalogIndex": 446,
|
| 205 |
+
"strictValidation": true
|
| 206 |
+
},
|
| 207 |
+
"imageAssets": {
|
| 208 |
+
"target": "../images/voi-445/target.png",
|
| 209 |
+
"shapes": {
|
| 210 |
+
"S1": "../images/voi-445/shape_S1.png",
|
| 211 |
+
"S2": "../images/voi-445/shape_S2.png",
|
| 212 |
+
"S3": "../images/voi-445/shape_S3.png",
|
| 213 |
+
"S4": "../images/voi-445/shape_S4.png",
|
| 214 |
+
"S5": "../images/voi-445/shape_S5.png",
|
| 215 |
+
"S6": "../images/voi-445/shape_S6.png"
|
| 216 |
+
}
|
| 217 |
+
},
|
| 218 |
+
"ID": "voi-445",
|
| 219 |
+
"answer": {
|
| 220 |
+
"placements": [
|
| 221 |
+
{
|
| 222 |
+
"shape": "S2",
|
| 223 |
+
"angle": 270,
|
| 224 |
+
"vertex": "V1",
|
| 225 |
+
"grid": [
|
| 226 |
+
1,
|
| 227 |
+
1
|
| 228 |
+
]
|
| 229 |
+
},
|
| 230 |
+
{
|
| 231 |
+
"shape": "S4",
|
| 232 |
+
"angle": 180,
|
| 233 |
+
"vertex": "V3",
|
| 234 |
+
"grid": [
|
| 235 |
+
7,
|
| 236 |
+
7
|
| 237 |
+
]
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"shape": "S5",
|
| 241 |
+
"angle": 0,
|
| 242 |
+
"vertex": "V2",
|
| 243 |
+
"grid": [
|
| 244 |
+
2,
|
| 245 |
+
0
|
| 246 |
+
]
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"shape": "S6",
|
| 250 |
+
"angle": 180,
|
| 251 |
+
"vertex": "V2",
|
| 252 |
+
"grid": [
|
| 253 |
+
0,
|
| 254 |
+
4
|
| 255 |
+
]
|
| 256 |
+
}
|
| 257 |
+
]
|
| 258 |
+
},
|
| 259 |
+
"legacy_answer": "S2 270 V1 [1,1]\nS4 180 V3 [7,7]\nS5 0 V2 [2,0]\nS6 180 V2 [0,4]",
|
| 260 |
+
"solutionText": "S2 270 V1 [1,1]\nS4 180 V3 [7,7]\nS5 0 V2 [2,0]\nS6 180 V2 [0,4]",
|
| 261 |
+
"prompt": {
|
| 262 |
+
"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 |
+
}
|
voi/data/voi-446.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
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"S1": {
|
| 5 |
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"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
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|
| 9 |
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"V2": [
|
| 10 |
+
3,
|
| 11 |
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0
|
| 12 |
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],
|
| 13 |
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"V3": [
|
| 14 |
+
3,
|
| 15 |
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1
|
| 16 |
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|
| 17 |
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|
| 18 |
+
0,
|
| 19 |
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1
|
| 20 |
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]
|
| 21 |
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|
| 22 |
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"S2": {
|
| 23 |
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"V1": [
|
| 24 |
+
0,
|
| 25 |
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0
|
| 26 |
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|
| 27 |
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|
| 28 |
+
2,
|
| 29 |
+
0
|
| 30 |
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|
| 31 |
+
"V3": [
|
| 32 |
+
2,
|
| 33 |
+
2
|
| 34 |
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],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
2
|
| 38 |
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]
|
| 39 |
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|
| 40 |
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"S3": {
|
| 41 |
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"V1": [
|
| 42 |
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0,
|
| 43 |
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|
| 44 |
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|
| 45 |
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"V2": [
|
| 46 |
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2,
|
| 47 |
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0
|
| 48 |
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|
| 49 |
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"V3": [
|
| 50 |
+
2,
|
| 51 |
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2
|
| 52 |
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|
| 53 |
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"V4": [
|
| 54 |
+
0,
|
| 55 |
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2
|
| 56 |
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]
|
| 57 |
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|
| 58 |
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"S4": {
|
| 59 |
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"V1": [
|
| 60 |
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0,
|
| 61 |
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0
|
| 62 |
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|
| 63 |
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"V2": [
|
| 64 |
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1,
|
| 65 |
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0
|
| 66 |
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|
| 67 |
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"V3": [
|
| 68 |
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1,
|
| 69 |
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2
|
| 70 |
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],
|
| 71 |
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"V4": [
|
| 72 |
+
0,
|
| 73 |
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2
|
| 74 |
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]
|
| 75 |
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|
| 76 |
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"S5": {
|
| 77 |
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"V1": [
|
| 78 |
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0,
|
| 79 |
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0
|
| 80 |
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|
| 81 |
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"V2": [
|
| 82 |
+
1,
|
| 83 |
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0
|
| 84 |
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],
|
| 85 |
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"V3": [
|
| 86 |
+
1,
|
| 87 |
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1
|
| 88 |
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],
|
| 89 |
+
"V4": [
|
| 90 |
+
0,
|
| 91 |
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1
|
| 92 |
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]
|
| 93 |
+
},
|
| 94 |
+
"S6": {
|
| 95 |
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"V1": [
|
| 96 |
+
0,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V2": [
|
| 100 |
+
3,
|
| 101 |
+
0
|
| 102 |
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],
|
| 103 |
+
"V3": [
|
| 104 |
+
3,
|
| 105 |
+
2
|
| 106 |
+
],
|
| 107 |
+
"V4": [
|
| 108 |
+
0,
|
| 109 |
+
2
|
| 110 |
+
]
|
| 111 |
+
}
|
| 112 |
+
},
|
| 113 |
+
"target": [
|
| 114 |
+
{
|
| 115 |
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"polygon": [
|
| 116 |
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[
|
| 117 |
+
6,
|
| 118 |
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1
|
| 119 |
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],
|
| 120 |
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[
|
| 121 |
+
6,
|
| 122 |
+
3
|
| 123 |
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],
|
| 124 |
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[
|
| 125 |
+
4,
|
| 126 |
+
3
|
| 127 |
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],
|
| 128 |
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[
|
| 129 |
+
4,
|
| 130 |
+
1
|
| 131 |
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]
|
| 132 |
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]
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
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"polygon": [
|
| 136 |
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[
|
| 137 |
+
5,
|
| 138 |
+
5
|
| 139 |
+
],
|
| 140 |
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[
|
| 141 |
+
5,
|
| 142 |
+
3
|
| 143 |
+
],
|
| 144 |
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[
|
| 145 |
+
7,
|
| 146 |
+
3
|
| 147 |
+
],
|
| 148 |
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[
|
| 149 |
+
7,
|
| 150 |
+
5
|
| 151 |
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]
|
| 152 |
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]
|
| 153 |
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},
|
| 154 |
+
{
|
| 155 |
+
"polygon": [
|
| 156 |
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[
|
| 157 |
+
3,
|
| 158 |
+
1
|
| 159 |
+
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|
| 160 |
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[
|
| 161 |
+
3,
|
| 162 |
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0
|
| 163 |
+
],
|
| 164 |
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[
|
| 165 |
+
4,
|
| 166 |
+
0
|
| 167 |
+
],
|
| 168 |
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[
|
| 169 |
+
4,
|
| 170 |
+
1
|
| 171 |
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]
|
| 172 |
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]
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"polygon": [
|
| 176 |
+
[
|
| 177 |
+
3,
|
| 178 |
+
4
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
3,
|
| 182 |
+
1
|
| 183 |
+
],
|
| 184 |
+
[
|
| 185 |
+
5,
|
| 186 |
+
1
|
| 187 |
+
],
|
| 188 |
+
[
|
| 189 |
+
5,
|
| 190 |
+
4
|
| 191 |
+
]
|
| 192 |
+
]
|
| 193 |
+
}
|
| 194 |
+
],
|
| 195 |
+
"meta": {
|
| 196 |
+
"seed": 4206072,
|
| 197 |
+
"requiredShapeCount": 4,
|
| 198 |
+
"distractorShapeCount": 2,
|
| 199 |
+
"shapePoolComplexity": "medium",
|
| 200 |
+
"overlapAllowed": true,
|
| 201 |
+
"overlapRatio": 0.266667,
|
| 202 |
+
"contourComplexity": 12,
|
| 203 |
+
"connectedComponents": 1,
|
| 204 |
+
"fillRatio": 0.11,
|
| 205 |
+
"difficultyScore": 0.513333,
|
| 206 |
+
"rasterScale": 16,
|
| 207 |
+
"targetPackaging": "solution_xor_components",
|
| 208 |
+
"catalogIndex": 447,
|
| 209 |
+
"strictValidation": true
|
| 210 |
+
},
|
| 211 |
+
"imageAssets": {
|
| 212 |
+
"target": "../images/voi-446/target.png",
|
| 213 |
+
"shapes": {
|
| 214 |
+
"S1": "../images/voi-446/shape_S1.png",
|
| 215 |
+
"S2": "../images/voi-446/shape_S2.png",
|
| 216 |
+
"S3": "../images/voi-446/shape_S3.png",
|
| 217 |
+
"S4": "../images/voi-446/shape_S4.png",
|
| 218 |
+
"S5": "../images/voi-446/shape_S5.png",
|
| 219 |
+
"S6": "../images/voi-446/shape_S6.png"
|
| 220 |
+
}
|
| 221 |
+
},
|
| 222 |
+
"ID": "voi-446",
|
| 223 |
+
"answer": {
|
| 224 |
+
"placements": [
|
| 225 |
+
{
|
| 226 |
+
"shape": "S2",
|
| 227 |
+
"angle": 270,
|
| 228 |
+
"vertex": "V4",
|
| 229 |
+
"grid": [
|
| 230 |
+
4,
|
| 231 |
+
1
|
| 232 |
+
]
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"shape": "S3",
|
| 236 |
+
"angle": 90,
|
| 237 |
+
"vertex": "V4",
|
| 238 |
+
"grid": [
|
| 239 |
+
7,
|
| 240 |
+
5
|
| 241 |
+
]
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"shape": "S5",
|
| 245 |
+
"angle": 90,
|
| 246 |
+
"vertex": "V3",
|
| 247 |
+
"grid": [
|
| 248 |
+
4,
|
| 249 |
+
0
|
| 250 |
+
]
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"shape": "S6",
|
| 254 |
+
"angle": 90,
|
| 255 |
+
"vertex": "V3",
|
| 256 |
+
"grid": [
|
| 257 |
+
5,
|
| 258 |
+
1
|
| 259 |
+
]
|
| 260 |
+
}
|
| 261 |
+
]
|
| 262 |
+
},
|
| 263 |
+
"legacy_answer": "S2 270 V4 [4,1]\nS3 90 V4 [7,5]\nS5 90 V3 [4,0]\nS6 90 V3 [5,1]",
|
| 264 |
+
"solutionText": "S2 270 V4 [4,1]\nS3 90 V4 [7,5]\nS5 90 V3 [4,0]\nS6 90 V3 [5,1]",
|
| 265 |
+
"prompt": {
|
| 266 |
+
"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
|
@@ -0,0 +1,281 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
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|
| 4 |
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"S1": {
|
| 5 |
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|
| 6 |
+
0,
|
| 7 |
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0
|
| 8 |
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|
| 9 |
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|
| 10 |
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3,
|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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2,
|
| 15 |
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1
|
| 16 |
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|
| 17 |
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|
| 18 |
+
0,
|
| 19 |
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1
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
+
0,
|
| 25 |
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0
|
| 26 |
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|
| 27 |
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|
| 28 |
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2,
|
| 29 |
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0
|
| 30 |
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|
| 31 |
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|
| 32 |
+
2,
|
| 33 |
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1
|
| 34 |
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|
| 35 |
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|
| 36 |
+
1,
|
| 37 |
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1
|
| 38 |
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|
| 39 |
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|
| 40 |
+
1,
|
| 41 |
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3
|
| 42 |
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|
| 43 |
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|
| 44 |
+
0,
|
| 45 |
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3
|
| 46 |
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|
| 47 |
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|
| 48 |
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"S3": {
|
| 49 |
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"V1": [
|
| 50 |
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0,
|
| 51 |
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0
|
| 52 |
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|
| 53 |
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"V2": [
|
| 54 |
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3,
|
| 55 |
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0
|
| 56 |
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|
| 57 |
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"V3": [
|
| 58 |
+
3,
|
| 59 |
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2
|
| 60 |
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|
| 61 |
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"V4": [
|
| 62 |
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0,
|
| 63 |
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2
|
| 64 |
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]
|
| 65 |
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|
| 66 |
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"S4": {
|
| 67 |
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"V1": [
|
| 68 |
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0,
|
| 69 |
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0
|
| 70 |
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|
| 71 |
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"V2": [
|
| 72 |
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3,
|
| 73 |
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0
|
| 74 |
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|
| 75 |
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"V3": [
|
| 76 |
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2,
|
| 77 |
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1
|
| 78 |
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|
| 79 |
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"V4": [
|
| 80 |
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0,
|
| 81 |
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1
|
| 82 |
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]
|
| 83 |
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|
| 84 |
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"S5": {
|
| 85 |
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"V1": [
|
| 86 |
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0,
|
| 87 |
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0
|
| 88 |
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|
| 89 |
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"V2": [
|
| 90 |
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1,
|
| 91 |
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0
|
| 92 |
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|
| 93 |
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"V3": [
|
| 94 |
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1,
|
| 95 |
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2
|
| 96 |
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|
| 97 |
+
"V4": [
|
| 98 |
+
0,
|
| 99 |
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2
|
| 100 |
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]
|
| 101 |
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|
| 102 |
+
"S6": {
|
| 103 |
+
"V1": [
|
| 104 |
+
0,
|
| 105 |
+
0
|
| 106 |
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|
| 107 |
+
"V2": [
|
| 108 |
+
2,
|
| 109 |
+
0
|
| 110 |
+
],
|
| 111 |
+
"V3": [
|
| 112 |
+
0,
|
| 113 |
+
2
|
| 114 |
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]
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"target": [
|
| 118 |
+
{
|
| 119 |
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"polygon": [
|
| 120 |
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[
|
| 121 |
+
9,
|
| 122 |
+
6
|
| 123 |
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],
|
| 124 |
+
[
|
| 125 |
+
9,
|
| 126 |
+
8
|
| 127 |
+
],
|
| 128 |
+
[
|
| 129 |
+
8,
|
| 130 |
+
8
|
| 131 |
+
],
|
| 132 |
+
[
|
| 133 |
+
8,
|
| 134 |
+
7
|
| 135 |
+
],
|
| 136 |
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[
|
| 137 |
+
6,
|
| 138 |
+
7
|
| 139 |
+
],
|
| 140 |
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[
|
| 141 |
+
6,
|
| 142 |
+
6
|
| 143 |
+
]
|
| 144 |
+
]
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"polygon": [
|
| 148 |
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[
|
| 149 |
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3,
|
| 150 |
+
10
|
| 151 |
+
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|
| 152 |
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[
|
| 153 |
+
0,
|
| 154 |
+
10
|
| 155 |
+
],
|
| 156 |
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[
|
| 157 |
+
0,
|
| 158 |
+
8
|
| 159 |
+
],
|
| 160 |
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[
|
| 161 |
+
3,
|
| 162 |
+
8
|
| 163 |
+
]
|
| 164 |
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]
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"polygon": [
|
| 168 |
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[
|
| 169 |
+
0,
|
| 170 |
+
10
|
| 171 |
+
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|
| 172 |
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[
|
| 173 |
+
0,
|
| 174 |
+
7
|
| 175 |
+
],
|
| 176 |
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[
|
| 177 |
+
1,
|
| 178 |
+
8
|
| 179 |
+
],
|
| 180 |
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[
|
| 181 |
+
1,
|
| 182 |
+
10
|
| 183 |
+
]
|
| 184 |
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]
|
| 185 |
+
},
|
| 186 |
+
{
|
| 187 |
+
"polygon": [
|
| 188 |
+
[
|
| 189 |
+
2,
|
| 190 |
+
8
|
| 191 |
+
],
|
| 192 |
+
[
|
| 193 |
+
1,
|
| 194 |
+
8
|
| 195 |
+
],
|
| 196 |
+
[
|
| 197 |
+
1,
|
| 198 |
+
6
|
| 199 |
+
],
|
| 200 |
+
[
|
| 201 |
+
2,
|
| 202 |
+
6
|
| 203 |
+
]
|
| 204 |
+
]
|
| 205 |
+
}
|
| 206 |
+
],
|
| 207 |
+
"meta": {
|
| 208 |
+
"seed": 4206073,
|
| 209 |
+
"requiredShapeCount": 4,
|
| 210 |
+
"distractorShapeCount": 2,
|
| 211 |
+
"shapePoolComplexity": "medium",
|
| 212 |
+
"overlapAllowed": true,
|
| 213 |
+
"overlapRatio": 0.275269,
|
| 214 |
+
"contourComplexity": 46,
|
| 215 |
+
"connectedComponents": 2,
|
| 216 |
+
"fillRatio": 0.105313,
|
| 217 |
+
"difficultyScore": 0.7383,
|
| 218 |
+
"rasterScale": 16,
|
| 219 |
+
"targetPackaging": "solution_xor_components",
|
| 220 |
+
"catalogIndex": 448,
|
| 221 |
+
"strictValidation": true
|
| 222 |
+
},
|
| 223 |
+
"imageAssets": {
|
| 224 |
+
"target": "../images/voi-447/target.png",
|
| 225 |
+
"shapes": {
|
| 226 |
+
"S1": "../images/voi-447/shape_S1.png",
|
| 227 |
+
"S2": "../images/voi-447/shape_S2.png",
|
| 228 |
+
"S3": "../images/voi-447/shape_S3.png",
|
| 229 |
+
"S4": "../images/voi-447/shape_S4.png",
|
| 230 |
+
"S5": "../images/voi-447/shape_S5.png",
|
| 231 |
+
"S6": "../images/voi-447/shape_S6.png"
|
| 232 |
+
}
|
| 233 |
+
},
|
| 234 |
+
"ID": "voi-447",
|
| 235 |
+
"answer": {
|
| 236 |
+
"placements": [
|
| 237 |
+
{
|
| 238 |
+
"shape": "S2",
|
| 239 |
+
"angle": 270,
|
| 240 |
+
"vertex": "V5",
|
| 241 |
+
"grid": [
|
| 242 |
+
6,
|
| 243 |
+
7
|
| 244 |
+
]
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"shape": "S3",
|
| 248 |
+
"angle": 180,
|
| 249 |
+
"vertex": "V4",
|
| 250 |
+
"grid": [
|
| 251 |
+
3,
|
| 252 |
+
8
|
| 253 |
+
]
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"shape": "S4",
|
| 257 |
+
"angle": 90,
|
| 258 |
+
"vertex": "V4",
|
| 259 |
+
"grid": [
|
| 260 |
+
1,
|
| 261 |
+
10
|
| 262 |
+
]
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"shape": "S5",
|
| 266 |
+
"angle": 180,
|
| 267 |
+
"vertex": "V3",
|
| 268 |
+
"grid": [
|
| 269 |
+
1,
|
| 270 |
+
6
|
| 271 |
+
]
|
| 272 |
+
}
|
| 273 |
+
]
|
| 274 |
+
},
|
| 275 |
+
"legacy_answer": "S2 270 V5 [6,7]\nS3 180 V4 [3,8]\nS4 90 V4 [1,10]\nS5 180 V3 [1,6]",
|
| 276 |
+
"solutionText": "S2 270 V5 [6,7]\nS3 180 V4 [3,8]\nS4 90 V4 [1,10]\nS5 180 V3 [1,6]",
|
| 277 |
+
"prompt": {
|
| 278 |
+
"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 |
+
}
|
voi/data/voi-448.json
ADDED
|
@@ -0,0 +1,269 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
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"S1": {
|
| 5 |
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"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
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|
| 9 |
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|
| 10 |
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3,
|
| 11 |
+
0
|
| 12 |
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|
| 13 |
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"V3": [
|
| 14 |
+
3,
|
| 15 |
+
2
|
| 16 |
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|
| 17 |
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|
| 18 |
+
0,
|
| 19 |
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2
|
| 20 |
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]
|
| 21 |
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|
| 22 |
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"S2": {
|
| 23 |
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|
| 24 |
+
0,
|
| 25 |
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0
|
| 26 |
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|
| 27 |
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|
| 28 |
+
2,
|
| 29 |
+
0
|
| 30 |
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],
|
| 31 |
+
"V3": [
|
| 32 |
+
2,
|
| 33 |
+
2
|
| 34 |
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],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
2
|
| 38 |
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]
|
| 39 |
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},
|
| 40 |
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"S3": {
|
| 41 |
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"V1": [
|
| 42 |
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0,
|
| 43 |
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0
|
| 44 |
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],
|
| 45 |
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"V2": [
|
| 46 |
+
2,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
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"V3": [
|
| 50 |
+
2,
|
| 51 |
+
1
|
| 52 |
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],
|
| 53 |
+
"V4": [
|
| 54 |
+
0,
|
| 55 |
+
1
|
| 56 |
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]
|
| 57 |
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},
|
| 58 |
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"S4": {
|
| 59 |
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"V1": [
|
| 60 |
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0,
|
| 61 |
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0
|
| 62 |
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],
|
| 63 |
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"V2": [
|
| 64 |
+
2,
|
| 65 |
+
0
|
| 66 |
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],
|
| 67 |
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"V3": [
|
| 68 |
+
2,
|
| 69 |
+
1
|
| 70 |
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],
|
| 71 |
+
"V4": [
|
| 72 |
+
0,
|
| 73 |
+
1
|
| 74 |
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]
|
| 75 |
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},
|
| 76 |
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"S5": {
|
| 77 |
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"V1": [
|
| 78 |
+
0,
|
| 79 |
+
0
|
| 80 |
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|
| 81 |
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"V2": [
|
| 82 |
+
1,
|
| 83 |
+
0
|
| 84 |
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],
|
| 85 |
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"V3": [
|
| 86 |
+
1,
|
| 87 |
+
2
|
| 88 |
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],
|
| 89 |
+
"V4": [
|
| 90 |
+
0,
|
| 91 |
+
2
|
| 92 |
+
]
|
| 93 |
+
},
|
| 94 |
+
"S6": {
|
| 95 |
+
"V1": [
|
| 96 |
+
0,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V2": [
|
| 100 |
+
3,
|
| 101 |
+
0
|
| 102 |
+
],
|
| 103 |
+
"V3": [
|
| 104 |
+
3,
|
| 105 |
+
1
|
| 106 |
+
],
|
| 107 |
+
"V4": [
|
| 108 |
+
0,
|
| 109 |
+
1
|
| 110 |
+
]
|
| 111 |
+
}
|
| 112 |
+
},
|
| 113 |
+
"target": [
|
| 114 |
+
{
|
| 115 |
+
"polygon": [
|
| 116 |
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[
|
| 117 |
+
0,
|
| 118 |
+
7
|
| 119 |
+
],
|
| 120 |
+
[
|
| 121 |
+
0,
|
| 122 |
+
4
|
| 123 |
+
],
|
| 124 |
+
[
|
| 125 |
+
2,
|
| 126 |
+
4
|
| 127 |
+
],
|
| 128 |
+
[
|
| 129 |
+
2,
|
| 130 |
+
7
|
| 131 |
+
]
|
| 132 |
+
]
|
| 133 |
+
},
|
| 134 |
+
{
|
| 135 |
+
"polygon": [
|
| 136 |
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[
|
| 137 |
+
4,
|
| 138 |
+
9
|
| 139 |
+
],
|
| 140 |
+
[
|
| 141 |
+
2,
|
| 142 |
+
9
|
| 143 |
+
],
|
| 144 |
+
[
|
| 145 |
+
2,
|
| 146 |
+
7
|
| 147 |
+
],
|
| 148 |
+
[
|
| 149 |
+
4,
|
| 150 |
+
7
|
| 151 |
+
]
|
| 152 |
+
]
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"polygon": [
|
| 156 |
+
[
|
| 157 |
+
0,
|
| 158 |
+
7
|
| 159 |
+
],
|
| 160 |
+
[
|
| 161 |
+
0,
|
| 162 |
+
5
|
| 163 |
+
],
|
| 164 |
+
[
|
| 165 |
+
1,
|
| 166 |
+
5
|
| 167 |
+
],
|
| 168 |
+
[
|
| 169 |
+
1,
|
| 170 |
+
7
|
| 171 |
+
]
|
| 172 |
+
]
|
| 173 |
+
},
|
| 174 |
+
{
|
| 175 |
+
"polygon": [
|
| 176 |
+
[
|
| 177 |
+
4,
|
| 178 |
+
8
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
4,
|
| 182 |
+
6
|
| 183 |
+
],
|
| 184 |
+
[
|
| 185 |
+
5,
|
| 186 |
+
6
|
| 187 |
+
],
|
| 188 |
+
[
|
| 189 |
+
5,
|
| 190 |
+
8
|
| 191 |
+
]
|
| 192 |
+
]
|
| 193 |
+
}
|
| 194 |
+
],
|
| 195 |
+
"meta": {
|
| 196 |
+
"seed": 4206074,
|
| 197 |
+
"requiredShapeCount": 4,
|
| 198 |
+
"distractorShapeCount": 2,
|
| 199 |
+
"shapePoolComplexity": "medium",
|
| 200 |
+
"overlapAllowed": true,
|
| 201 |
+
"overlapRatio": 0.285714,
|
| 202 |
+
"contourComplexity": 14,
|
| 203 |
+
"connectedComponents": 2,
|
| 204 |
+
"fillRatio": 0.1,
|
| 205 |
+
"difficultyScore": 0.707143,
|
| 206 |
+
"rasterScale": 16,
|
| 207 |
+
"targetPackaging": "solution_xor_components",
|
| 208 |
+
"catalogIndex": 449,
|
| 209 |
+
"strictValidation": true
|
| 210 |
+
},
|
| 211 |
+
"imageAssets": {
|
| 212 |
+
"target": "../images/voi-448/target.png",
|
| 213 |
+
"shapes": {
|
| 214 |
+
"S1": "../images/voi-448/shape_S1.png",
|
| 215 |
+
"S2": "../images/voi-448/shape_S2.png",
|
| 216 |
+
"S3": "../images/voi-448/shape_S3.png",
|
| 217 |
+
"S4": "../images/voi-448/shape_S4.png",
|
| 218 |
+
"S5": "../images/voi-448/shape_S5.png",
|
| 219 |
+
"S6": "../images/voi-448/shape_S6.png"
|
| 220 |
+
}
|
| 221 |
+
},
|
| 222 |
+
"ID": "voi-448",
|
| 223 |
+
"answer": {
|
| 224 |
+
"placements": [
|
| 225 |
+
{
|
| 226 |
+
"shape": "S1",
|
| 227 |
+
"angle": 90,
|
| 228 |
+
"vertex": "V4",
|
| 229 |
+
"grid": [
|
| 230 |
+
2,
|
| 231 |
+
7
|
| 232 |
+
]
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"shape": "S2",
|
| 236 |
+
"angle": 180,
|
| 237 |
+
"vertex": "V1",
|
| 238 |
+
"grid": [
|
| 239 |
+
4,
|
| 240 |
+
9
|
| 241 |
+
]
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"shape": "S3",
|
| 245 |
+
"angle": 90,
|
| 246 |
+
"vertex": "V3",
|
| 247 |
+
"grid": [
|
| 248 |
+
1,
|
| 249 |
+
5
|
| 250 |
+
]
|
| 251 |
+
},
|
| 252 |
+
{
|
| 253 |
+
"shape": "S4",
|
| 254 |
+
"angle": 90,
|
| 255 |
+
"vertex": "V1",
|
| 256 |
+
"grid": [
|
| 257 |
+
4,
|
| 258 |
+
8
|
| 259 |
+
]
|
| 260 |
+
}
|
| 261 |
+
]
|
| 262 |
+
},
|
| 263 |
+
"legacy_answer": "S1 90 V4 [2,7]\nS2 180 V1 [4,9]\nS3 90 V3 [1,5]\nS4 90 V1 [4,8]",
|
| 264 |
+
"solutionText": "S1 90 V4 [2,7]\nS2 180 V1 [4,9]\nS3 90 V3 [1,5]\nS4 90 V1 [4,8]",
|
| 265 |
+
"prompt": {
|
| 266 |
+
"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
|
@@ -0,0 +1,261 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
0,
|
| 15 |
+
1
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
"S2": {
|
| 19 |
+
"V1": [
|
| 20 |
+
0,
|
| 21 |
+
0
|
| 22 |
+
],
|
| 23 |
+
"V2": [
|
| 24 |
+
1,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V3": [
|
| 28 |
+
1,
|
| 29 |
+
2
|
| 30 |
+
],
|
| 31 |
+
"V4": [
|
| 32 |
+
0,
|
| 33 |
+
2
|
| 34 |
+
]
|
| 35 |
+
},
|
| 36 |
+
"S3": {
|
| 37 |
+
"V1": [
|
| 38 |
+
0,
|
| 39 |
+
0
|
| 40 |
+
],
|
| 41 |
+
"V2": [
|
| 42 |
+
3,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V3": [
|
| 46 |
+
2,
|
| 47 |
+
1
|
| 48 |
+
],
|
| 49 |
+
"V4": [
|
| 50 |
+
0,
|
| 51 |
+
1
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
+
0,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V2": [
|
| 60 |
+
3,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
3,
|
| 65 |
+
2
|
| 66 |
+
],
|
| 67 |
+
"V4": [
|
| 68 |
+
0,
|
| 69 |
+
2
|
| 70 |
+
]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
+
"V1": [
|
| 74 |
+
0,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V2": [
|
| 78 |
+
3,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V3": [
|
| 82 |
+
3,
|
| 83 |
+
2
|
| 84 |
+
],
|
| 85 |
+
"V4": [
|
| 86 |
+
0,
|
| 87 |
+
2
|
| 88 |
+
]
|
| 89 |
+
},
|
| 90 |
+
"S6": {
|
| 91 |
+
"V1": [
|
| 92 |
+
0,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V2": [
|
| 96 |
+
3,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V3": [
|
| 100 |
+
3,
|
| 101 |
+
2
|
| 102 |
+
],
|
| 103 |
+
"V4": [
|
| 104 |
+
0,
|
| 105 |
+
2
|
| 106 |
+
]
|
| 107 |
+
}
|
| 108 |
+
},
|
| 109 |
+
"target": [
|
| 110 |
+
{
|
| 111 |
+
"polygon": [
|
| 112 |
+
[
|
| 113 |
+
1,
|
| 114 |
+
5
|
| 115 |
+
],
|
| 116 |
+
[
|
| 117 |
+
2,
|
| 118 |
+
5
|
| 119 |
+
],
|
| 120 |
+
[
|
| 121 |
+
1,
|
| 122 |
+
6
|
| 123 |
+
]
|
| 124 |
+
]
|
| 125 |
+
},
|
| 126 |
+
{
|
| 127 |
+
"polygon": [
|
| 128 |
+
[
|
| 129 |
+
4,
|
| 130 |
+
9
|
| 131 |
+
],
|
| 132 |
+
[
|
| 133 |
+
7,
|
| 134 |
+
9
|
| 135 |
+
],
|
| 136 |
+
[
|
| 137 |
+
6,
|
| 138 |
+
10
|
| 139 |
+
],
|
| 140 |
+
[
|
| 141 |
+
4,
|
| 142 |
+
10
|
| 143 |
+
]
|
| 144 |
+
]
|
| 145 |
+
},
|
| 146 |
+
{
|
| 147 |
+
"polygon": [
|
| 148 |
+
[
|
| 149 |
+
6,
|
| 150 |
+
9
|
| 151 |
+
],
|
| 152 |
+
[
|
| 153 |
+
6,
|
| 154 |
+
6
|
| 155 |
+
],
|
| 156 |
+
[
|
| 157 |
+
8,
|
| 158 |
+
6
|
| 159 |
+
],
|
| 160 |
+
[
|
| 161 |
+
8,
|
| 162 |
+
9
|
| 163 |
+
]
|
| 164 |
+
]
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"polygon": [
|
| 168 |
+
[
|
| 169 |
+
7,
|
| 170 |
+
10
|
| 171 |
+
],
|
| 172 |
+
[
|
| 173 |
+
7,
|
| 174 |
+
7
|
| 175 |
+
],
|
| 176 |
+
[
|
| 177 |
+
9,
|
| 178 |
+
7
|
| 179 |
+
],
|
| 180 |
+
[
|
| 181 |
+
9,
|
| 182 |
+
10
|
| 183 |
+
]
|
| 184 |
+
]
|
| 185 |
+
}
|
| 186 |
+
],
|
| 187 |
+
"meta": {
|
| 188 |
+
"seed": 4206075,
|
| 189 |
+
"requiredShapeCount": 4,
|
| 190 |
+
"distractorShapeCount": 2,
|
| 191 |
+
"shapePoolComplexity": "medium",
|
| 192 |
+
"overlapAllowed": true,
|
| 193 |
+
"overlapRatio": 0.26556,
|
| 194 |
+
"contourComplexity": 78,
|
| 195 |
+
"connectedComponents": 2,
|
| 196 |
+
"fillRatio": 0.110625,
|
| 197 |
+
"difficultyScore": 0.766509,
|
| 198 |
+
"rasterScale": 16,
|
| 199 |
+
"targetPackaging": "solution_xor_components",
|
| 200 |
+
"catalogIndex": 450,
|
| 201 |
+
"strictValidation": true
|
| 202 |
+
},
|
| 203 |
+
"imageAssets": {
|
| 204 |
+
"target": "../images/voi-449/target.png",
|
| 205 |
+
"shapes": {
|
| 206 |
+
"S1": "../images/voi-449/shape_S1.png",
|
| 207 |
+
"S2": "../images/voi-449/shape_S2.png",
|
| 208 |
+
"S3": "../images/voi-449/shape_S3.png",
|
| 209 |
+
"S4": "../images/voi-449/shape_S4.png",
|
| 210 |
+
"S5": "../images/voi-449/shape_S5.png",
|
| 211 |
+
"S6": "../images/voi-449/shape_S6.png"
|
| 212 |
+
}
|
| 213 |
+
},
|
| 214 |
+
"ID": "voi-449",
|
| 215 |
+
"answer": {
|
| 216 |
+
"placements": [
|
| 217 |
+
{
|
| 218 |
+
"shape": "S1",
|
| 219 |
+
"angle": 0,
|
| 220 |
+
"vertex": "V3",
|
| 221 |
+
"grid": [
|
| 222 |
+
1,
|
| 223 |
+
6
|
| 224 |
+
]
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"shape": "S3",
|
| 228 |
+
"angle": 0,
|
| 229 |
+
"vertex": "V4",
|
| 230 |
+
"grid": [
|
| 231 |
+
4,
|
| 232 |
+
10
|
| 233 |
+
]
|
| 234 |
+
},
|
| 235 |
+
{
|
| 236 |
+
"shape": "S4",
|
| 237 |
+
"angle": 90,
|
| 238 |
+
"vertex": "V4",
|
| 239 |
+
"grid": [
|
| 240 |
+
8,
|
| 241 |
+
9
|
| 242 |
+
]
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"shape": "S6",
|
| 246 |
+
"angle": 90,
|
| 247 |
+
"vertex": "V2",
|
| 248 |
+
"grid": [
|
| 249 |
+
7,
|
| 250 |
+
7
|
| 251 |
+
]
|
| 252 |
+
}
|
| 253 |
+
]
|
| 254 |
+
},
|
| 255 |
+
"legacy_answer": "S1 0 V3 [1,6]\nS3 0 V4 [4,10]\nS4 90 V4 [8,9]\nS6 90 V2 [7,7]",
|
| 256 |
+
"solutionText": "S1 0 V3 [1,6]\nS3 0 V4 [4,10]\nS4 90 V4 [8,9]\nS6 90 V2 [7,7]",
|
| 257 |
+
"prompt": {
|
| 258 |
+
"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."
|
| 260 |
+
}
|
| 261 |
+
}
|
voi/data/voi-450.json
ADDED
|
@@ -0,0 +1,300 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
3,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
1
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
2,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
2,
|
| 33 |
+
1
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
1
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
1,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
1,
|
| 51 |
+
3
|
| 52 |
+
],
|
| 53 |
+
"V4": [
|
| 54 |
+
0,
|
| 55 |
+
3
|
| 56 |
+
]
|
| 57 |
+
},
|
| 58 |
+
"S4": {
|
| 59 |
+
"V1": [
|
| 60 |
+
0,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V2": [
|
| 64 |
+
3,
|
| 65 |
+
0
|
| 66 |
+
],
|
| 67 |
+
"V3": [
|
| 68 |
+
3,
|
| 69 |
+
2
|
| 70 |
+
],
|
| 71 |
+
"V4": [
|
| 72 |
+
0,
|
| 73 |
+
2
|
| 74 |
+
]
|
| 75 |
+
},
|
| 76 |
+
"S5": {
|
| 77 |
+
"V1": [
|
| 78 |
+
0,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V2": [
|
| 82 |
+
2,
|
| 83 |
+
0
|
| 84 |
+
],
|
| 85 |
+
"V3": [
|
| 86 |
+
0,
|
| 87 |
+
2
|
| 88 |
+
]
|
| 89 |
+
},
|
| 90 |
+
"S6": {
|
| 91 |
+
"V1": [
|
| 92 |
+
0,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V2": [
|
| 96 |
+
1,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V3": [
|
| 100 |
+
1,
|
| 101 |
+
2
|
| 102 |
+
],
|
| 103 |
+
"V4": [
|
| 104 |
+
0,
|
| 105 |
+
2
|
| 106 |
+
]
|
| 107 |
+
},
|
| 108 |
+
"S7": {
|
| 109 |
+
"V1": [
|
| 110 |
+
0,
|
| 111 |
+
0
|
| 112 |
+
],
|
| 113 |
+
"V2": [
|
| 114 |
+
2,
|
| 115 |
+
0
|
| 116 |
+
],
|
| 117 |
+
"V3": [
|
| 118 |
+
2,
|
| 119 |
+
1
|
| 120 |
+
],
|
| 121 |
+
"V4": [
|
| 122 |
+
1,
|
| 123 |
+
1
|
| 124 |
+
],
|
| 125 |
+
"V5": [
|
| 126 |
+
1,
|
| 127 |
+
3
|
| 128 |
+
],
|
| 129 |
+
"V6": [
|
| 130 |
+
0,
|
| 131 |
+
3
|
| 132 |
+
]
|
| 133 |
+
}
|
| 134 |
+
},
|
| 135 |
+
"target": [
|
| 136 |
+
{
|
| 137 |
+
"polygon": [
|
| 138 |
+
[
|
| 139 |
+
6,
|
| 140 |
+
3
|
| 141 |
+
],
|
| 142 |
+
[
|
| 143 |
+
6,
|
| 144 |
+
2
|
| 145 |
+
],
|
| 146 |
+
[
|
| 147 |
+
9,
|
| 148 |
+
2
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
9,
|
| 152 |
+
3
|
| 153 |
+
]
|
| 154 |
+
]
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"polygon": [
|
| 158 |
+
[
|
| 159 |
+
6,
|
| 160 |
+
0
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
6,
|
| 164 |
+
3
|
| 165 |
+
],
|
| 166 |
+
[
|
| 167 |
+
4,
|
| 168 |
+
3
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
4,
|
| 172 |
+
0
|
| 173 |
+
]
|
| 174 |
+
]
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"polygon": [
|
| 178 |
+
[
|
| 179 |
+
5,
|
| 180 |
+
0
|
| 181 |
+
],
|
| 182 |
+
[
|
| 183 |
+
6,
|
| 184 |
+
0
|
| 185 |
+
],
|
| 186 |
+
[
|
| 187 |
+
6,
|
| 188 |
+
2
|
| 189 |
+
],
|
| 190 |
+
[
|
| 191 |
+
5,
|
| 192 |
+
2
|
| 193 |
+
]
|
| 194 |
+
]
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"polygon": [
|
| 198 |
+
[
|
| 199 |
+
1,
|
| 200 |
+
3
|
| 201 |
+
],
|
| 202 |
+
[
|
| 203 |
+
3,
|
| 204 |
+
3
|
| 205 |
+
],
|
| 206 |
+
[
|
| 207 |
+
3,
|
| 208 |
+
4
|
| 209 |
+
],
|
| 210 |
+
[
|
| 211 |
+
2,
|
| 212 |
+
4
|
| 213 |
+
],
|
| 214 |
+
[
|
| 215 |
+
2,
|
| 216 |
+
6
|
| 217 |
+
],
|
| 218 |
+
[
|
| 219 |
+
1,
|
| 220 |
+
6
|
| 221 |
+
]
|
| 222 |
+
]
|
| 223 |
+
}
|
| 224 |
+
],
|
| 225 |
+
"meta": {
|
| 226 |
+
"seed": 4207001,
|
| 227 |
+
"requiredShapeCount": 4,
|
| 228 |
+
"distractorShapeCount": 3,
|
| 229 |
+
"shapePoolComplexity": "medium",
|
| 230 |
+
"overlapAllowed": true,
|
| 231 |
+
"overlapRatio": 0.266667,
|
| 232 |
+
"contourComplexity": 12,
|
| 233 |
+
"connectedComponents": 2,
|
| 234 |
+
"fillRatio": 0.11,
|
| 235 |
+
"difficultyScore": 0.903333,
|
| 236 |
+
"rasterScale": 16,
|
| 237 |
+
"targetPackaging": "solution_xor_components",
|
| 238 |
+
"catalogIndex": 451,
|
| 239 |
+
"strictValidation": true
|
| 240 |
+
},
|
| 241 |
+
"imageAssets": {
|
| 242 |
+
"target": "../images/voi-450/target.png",
|
| 243 |
+
"shapes": {
|
| 244 |
+
"S1": "../images/voi-450/shape_S1.png",
|
| 245 |
+
"S2": "../images/voi-450/shape_S2.png",
|
| 246 |
+
"S3": "../images/voi-450/shape_S3.png",
|
| 247 |
+
"S4": "../images/voi-450/shape_S4.png",
|
| 248 |
+
"S5": "../images/voi-450/shape_S5.png",
|
| 249 |
+
"S6": "../images/voi-450/shape_S6.png",
|
| 250 |
+
"S7": "../images/voi-450/shape_S7.png"
|
| 251 |
+
}
|
| 252 |
+
},
|
| 253 |
+
"ID": "voi-450",
|
| 254 |
+
"answer": {
|
| 255 |
+
"placements": [
|
| 256 |
+
{
|
| 257 |
+
"shape": "S3",
|
| 258 |
+
"angle": 90,
|
| 259 |
+
"vertex": "V4",
|
| 260 |
+
"grid": [
|
| 261 |
+
9,
|
| 262 |
+
3
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"shape": "S4",
|
| 267 |
+
"angle": 270,
|
| 268 |
+
"vertex": "V2",
|
| 269 |
+
"grid": [
|
| 270 |
+
6,
|
| 271 |
+
3
|
| 272 |
+
]
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"shape": "S6",
|
| 276 |
+
"angle": 0,
|
| 277 |
+
"vertex": "V4",
|
| 278 |
+
"grid": [
|
| 279 |
+
5,
|
| 280 |
+
2
|
| 281 |
+
]
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"shape": "S7",
|
| 285 |
+
"angle": 0,
|
| 286 |
+
"vertex": "V3",
|
| 287 |
+
"grid": [
|
| 288 |
+
3,
|
| 289 |
+
4
|
| 290 |
+
]
|
| 291 |
+
}
|
| 292 |
+
]
|
| 293 |
+
},
|
| 294 |
+
"legacy_answer": "S3 90 V4 [9,3]\nS4 270 V2 [6,3]\nS6 0 V4 [5,2]\nS7 0 V3 [3,4]",
|
| 295 |
+
"solutionText": "S3 90 V4 [9,3]\nS4 270 V2 [6,3]\nS6 0 V4 [5,2]\nS7 0 V3 [3,4]",
|
| 296 |
+
"prompt": {
|
| 297 |
+
"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 |
+
}
|
voi/data/voi-451.json
ADDED
|
@@ -0,0 +1,320 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
1,
|
| 19 |
+
1
|
| 20 |
+
],
|
| 21 |
+
"V5": [
|
| 22 |
+
1,
|
| 23 |
+
3
|
| 24 |
+
],
|
| 25 |
+
"V6": [
|
| 26 |
+
0,
|
| 27 |
+
3
|
| 28 |
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]
|
| 29 |
+
},
|
| 30 |
+
"S2": {
|
| 31 |
+
"V1": [
|
| 32 |
+
0,
|
| 33 |
+
0
|
| 34 |
+
],
|
| 35 |
+
"V2": [
|
| 36 |
+
2,
|
| 37 |
+
0
|
| 38 |
+
],
|
| 39 |
+
"V3": [
|
| 40 |
+
2,
|
| 41 |
+
1
|
| 42 |
+
],
|
| 43 |
+
"V4": [
|
| 44 |
+
1,
|
| 45 |
+
1
|
| 46 |
+
],
|
| 47 |
+
"V5": [
|
| 48 |
+
1,
|
| 49 |
+
3
|
| 50 |
+
],
|
| 51 |
+
"V6": [
|
| 52 |
+
0,
|
| 53 |
+
3
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"S3": {
|
| 57 |
+
"V1": [
|
| 58 |
+
0,
|
| 59 |
+
0
|
| 60 |
+
],
|
| 61 |
+
"V2": [
|
| 62 |
+
3,
|
| 63 |
+
0
|
| 64 |
+
],
|
| 65 |
+
"V3": [
|
| 66 |
+
2,
|
| 67 |
+
1
|
| 68 |
+
],
|
| 69 |
+
"V4": [
|
| 70 |
+
0,
|
| 71 |
+
1
|
| 72 |
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]
|
| 73 |
+
},
|
| 74 |
+
"S4": {
|
| 75 |
+
"V1": [
|
| 76 |
+
0,
|
| 77 |
+
0
|
| 78 |
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],
|
| 79 |
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"V2": [
|
| 80 |
+
1,
|
| 81 |
+
0
|
| 82 |
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],
|
| 83 |
+
"V3": [
|
| 84 |
+
1,
|
| 85 |
+
1
|
| 86 |
+
],
|
| 87 |
+
"V4": [
|
| 88 |
+
0,
|
| 89 |
+
1
|
| 90 |
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]
|
| 91 |
+
},
|
| 92 |
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"S5": {
|
| 93 |
+
"V1": [
|
| 94 |
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0,
|
| 95 |
+
0
|
| 96 |
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],
|
| 97 |
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"V2": [
|
| 98 |
+
1,
|
| 99 |
+
0
|
| 100 |
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],
|
| 101 |
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"V3": [
|
| 102 |
+
1,
|
| 103 |
+
3
|
| 104 |
+
],
|
| 105 |
+
"V4": [
|
| 106 |
+
0,
|
| 107 |
+
3
|
| 108 |
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]
|
| 109 |
+
},
|
| 110 |
+
"S6": {
|
| 111 |
+
"V1": [
|
| 112 |
+
0,
|
| 113 |
+
0
|
| 114 |
+
],
|
| 115 |
+
"V2": [
|
| 116 |
+
1,
|
| 117 |
+
0
|
| 118 |
+
],
|
| 119 |
+
"V3": [
|
| 120 |
+
1,
|
| 121 |
+
1
|
| 122 |
+
],
|
| 123 |
+
"V4": [
|
| 124 |
+
0,
|
| 125 |
+
1
|
| 126 |
+
]
|
| 127 |
+
},
|
| 128 |
+
"S7": {
|
| 129 |
+
"V1": [
|
| 130 |
+
0,
|
| 131 |
+
0
|
| 132 |
+
],
|
| 133 |
+
"V2": [
|
| 134 |
+
1,
|
| 135 |
+
0
|
| 136 |
+
],
|
| 137 |
+
"V3": [
|
| 138 |
+
1,
|
| 139 |
+
3
|
| 140 |
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],
|
| 141 |
+
"V4": [
|
| 142 |
+
0,
|
| 143 |
+
3
|
| 144 |
+
]
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"target": [
|
| 148 |
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{
|
| 149 |
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"polygon": [
|
| 150 |
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[
|
| 151 |
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4,
|
| 152 |
+
9
|
| 153 |
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],
|
| 154 |
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[
|
| 155 |
+
4,
|
| 156 |
+
7
|
| 157 |
+
],
|
| 158 |
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[
|
| 159 |
+
5,
|
| 160 |
+
7
|
| 161 |
+
],
|
| 162 |
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[
|
| 163 |
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5,
|
| 164 |
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8
|
| 165 |
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],
|
| 166 |
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[
|
| 167 |
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7,
|
| 168 |
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8
|
| 169 |
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],
|
| 170 |
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[
|
| 171 |
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7,
|
| 172 |
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9
|
| 173 |
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|
| 174 |
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]
|
| 175 |
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},
|
| 176 |
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{
|
| 177 |
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"polygon": [
|
| 178 |
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[
|
| 179 |
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6,
|
| 180 |
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6
|
| 181 |
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|
| 182 |
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[
|
| 183 |
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8,
|
| 184 |
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6
|
| 185 |
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|
| 186 |
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[
|
| 187 |
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8,
|
| 188 |
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7
|
| 189 |
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|
| 190 |
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[
|
| 191 |
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7,
|
| 192 |
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7
|
| 193 |
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|
| 194 |
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[
|
| 195 |
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7,
|
| 196 |
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9
|
| 197 |
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],
|
| 198 |
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[
|
| 199 |
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6,
|
| 200 |
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9
|
| 201 |
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|
| 202 |
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]
|
| 203 |
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},
|
| 204 |
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{
|
| 205 |
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"polygon": [
|
| 206 |
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[
|
| 207 |
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6,
|
| 208 |
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10
|
| 209 |
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],
|
| 210 |
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[
|
| 211 |
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5,
|
| 212 |
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10
|
| 213 |
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],
|
| 214 |
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[
|
| 215 |
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5,
|
| 216 |
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7
|
| 217 |
+
],
|
| 218 |
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[
|
| 219 |
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6,
|
| 220 |
+
7
|
| 221 |
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]
|
| 222 |
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]
|
| 223 |
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},
|
| 224 |
+
{
|
| 225 |
+
"polygon": [
|
| 226 |
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[
|
| 227 |
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3,
|
| 228 |
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7
|
| 229 |
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],
|
| 230 |
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[
|
| 231 |
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4,
|
| 232 |
+
7
|
| 233 |
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],
|
| 234 |
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[
|
| 235 |
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4,
|
| 236 |
+
10
|
| 237 |
+
],
|
| 238 |
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[
|
| 239 |
+
3,
|
| 240 |
+
10
|
| 241 |
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]
|
| 242 |
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]
|
| 243 |
+
}
|
| 244 |
+
],
|
| 245 |
+
"meta": {
|
| 246 |
+
"seed": 4207002,
|
| 247 |
+
"requiredShapeCount": 4,
|
| 248 |
+
"distractorShapeCount": 3,
|
| 249 |
+
"shapePoolComplexity": "medium",
|
| 250 |
+
"overlapAllowed": true,
|
| 251 |
+
"overlapRatio": 0.285714,
|
| 252 |
+
"contourComplexity": 16,
|
| 253 |
+
"connectedComponents": 2,
|
| 254 |
+
"fillRatio": 0.1,
|
| 255 |
+
"difficultyScore": 0.847143,
|
| 256 |
+
"rasterScale": 16,
|
| 257 |
+
"targetPackaging": "solution_xor_components",
|
| 258 |
+
"catalogIndex": 452,
|
| 259 |
+
"strictValidation": true
|
| 260 |
+
},
|
| 261 |
+
"imageAssets": {
|
| 262 |
+
"target": "../images/voi-451/target.png",
|
| 263 |
+
"shapes": {
|
| 264 |
+
"S1": "../images/voi-451/shape_S1.png",
|
| 265 |
+
"S2": "../images/voi-451/shape_S2.png",
|
| 266 |
+
"S3": "../images/voi-451/shape_S3.png",
|
| 267 |
+
"S4": "../images/voi-451/shape_S4.png",
|
| 268 |
+
"S5": "../images/voi-451/shape_S5.png",
|
| 269 |
+
"S6": "../images/voi-451/shape_S6.png",
|
| 270 |
+
"S7": "../images/voi-451/shape_S7.png"
|
| 271 |
+
}
|
| 272 |
+
},
|
| 273 |
+
"ID": "voi-451",
|
| 274 |
+
"answer": {
|
| 275 |
+
"placements": [
|
| 276 |
+
{
|
| 277 |
+
"shape": "S1",
|
| 278 |
+
"angle": 90,
|
| 279 |
+
"vertex": "V5",
|
| 280 |
+
"grid": [
|
| 281 |
+
7,
|
| 282 |
+
8
|
| 283 |
+
]
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"shape": "S2",
|
| 287 |
+
"angle": 0,
|
| 288 |
+
"vertex": "V2",
|
| 289 |
+
"grid": [
|
| 290 |
+
8,
|
| 291 |
+
6
|
| 292 |
+
]
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"shape": "S5",
|
| 296 |
+
"angle": 180,
|
| 297 |
+
"vertex": "V1",
|
| 298 |
+
"grid": [
|
| 299 |
+
6,
|
| 300 |
+
10
|
| 301 |
+
]
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"shape": "S7",
|
| 305 |
+
"angle": 0,
|
| 306 |
+
"vertex": "V1",
|
| 307 |
+
"grid": [
|
| 308 |
+
3,
|
| 309 |
+
7
|
| 310 |
+
]
|
| 311 |
+
}
|
| 312 |
+
]
|
| 313 |
+
},
|
| 314 |
+
"legacy_answer": "S1 90 V5 [7,8]\nS2 0 V2 [8,6]\nS5 180 V1 [6,10]\nS7 0 V1 [3,7]",
|
| 315 |
+
"solutionText": "S1 90 V5 [7,8]\nS2 0 V2 [8,6]\nS5 180 V1 [6,10]\nS7 0 V1 [3,7]",
|
| 316 |
+
"prompt": {
|
| 317 |
+
"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-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."
|
| 319 |
+
}
|
| 320 |
+
}
|
voi/data/voi-452.json
ADDED
|
@@ -0,0 +1,280 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
0,
|
| 15 |
+
1
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
"S2": {
|
| 19 |
+
"V1": [
|
| 20 |
+
0,
|
| 21 |
+
0
|
| 22 |
+
],
|
| 23 |
+
"V2": [
|
| 24 |
+
1,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V3": [
|
| 28 |
+
1,
|
| 29 |
+
2
|
| 30 |
+
],
|
| 31 |
+
"V4": [
|
| 32 |
+
0,
|
| 33 |
+
2
|
| 34 |
+
]
|
| 35 |
+
},
|
| 36 |
+
"S3": {
|
| 37 |
+
"V1": [
|
| 38 |
+
0,
|
| 39 |
+
0
|
| 40 |
+
],
|
| 41 |
+
"V2": [
|
| 42 |
+
2,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V3": [
|
| 46 |
+
2,
|
| 47 |
+
2
|
| 48 |
+
],
|
| 49 |
+
"V4": [
|
| 50 |
+
0,
|
| 51 |
+
2
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
+
0,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V2": [
|
| 60 |
+
2,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
0,
|
| 65 |
+
2
|
| 66 |
+
]
|
| 67 |
+
},
|
| 68 |
+
"S5": {
|
| 69 |
+
"V1": [
|
| 70 |
+
0,
|
| 71 |
+
0
|
| 72 |
+
],
|
| 73 |
+
"V2": [
|
| 74 |
+
2,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V3": [
|
| 78 |
+
2,
|
| 79 |
+
2
|
| 80 |
+
],
|
| 81 |
+
"V4": [
|
| 82 |
+
0,
|
| 83 |
+
2
|
| 84 |
+
]
|
| 85 |
+
},
|
| 86 |
+
"S6": {
|
| 87 |
+
"V1": [
|
| 88 |
+
0,
|
| 89 |
+
0
|
| 90 |
+
],
|
| 91 |
+
"V2": [
|
| 92 |
+
3,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V3": [
|
| 96 |
+
3,
|
| 97 |
+
2
|
| 98 |
+
],
|
| 99 |
+
"V4": [
|
| 100 |
+
0,
|
| 101 |
+
2
|
| 102 |
+
]
|
| 103 |
+
},
|
| 104 |
+
"S7": {
|
| 105 |
+
"V1": [
|
| 106 |
+
0,
|
| 107 |
+
0
|
| 108 |
+
],
|
| 109 |
+
"V2": [
|
| 110 |
+
1,
|
| 111 |
+
0
|
| 112 |
+
],
|
| 113 |
+
"V3": [
|
| 114 |
+
1,
|
| 115 |
+
2
|
| 116 |
+
],
|
| 117 |
+
"V4": [
|
| 118 |
+
0,
|
| 119 |
+
2
|
| 120 |
+
]
|
| 121 |
+
}
|
| 122 |
+
},
|
| 123 |
+
"target": [
|
| 124 |
+
{
|
| 125 |
+
"polygon": [
|
| 126 |
+
[
|
| 127 |
+
3,
|
| 128 |
+
4
|
| 129 |
+
],
|
| 130 |
+
[
|
| 131 |
+
2,
|
| 132 |
+
4
|
| 133 |
+
],
|
| 134 |
+
[
|
| 135 |
+
2,
|
| 136 |
+
2
|
| 137 |
+
],
|
| 138 |
+
[
|
| 139 |
+
3,
|
| 140 |
+
2
|
| 141 |
+
]
|
| 142 |
+
]
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"polygon": [
|
| 146 |
+
[
|
| 147 |
+
5,
|
| 148 |
+
8
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
3,
|
| 152 |
+
8
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
3,
|
| 156 |
+
6
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
5,
|
| 160 |
+
6
|
| 161 |
+
]
|
| 162 |
+
]
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"polygon": [
|
| 166 |
+
[
|
| 167 |
+
2,
|
| 168 |
+
4
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
4,
|
| 172 |
+
4
|
| 173 |
+
],
|
| 174 |
+
[
|
| 175 |
+
4,
|
| 176 |
+
6
|
| 177 |
+
],
|
| 178 |
+
[
|
| 179 |
+
2,
|
| 180 |
+
6
|
| 181 |
+
]
|
| 182 |
+
]
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"polygon": [
|
| 186 |
+
[
|
| 187 |
+
5,
|
| 188 |
+
4
|
| 189 |
+
],
|
| 190 |
+
[
|
| 191 |
+
2,
|
| 192 |
+
4
|
| 193 |
+
],
|
| 194 |
+
[
|
| 195 |
+
2,
|
| 196 |
+
2
|
| 197 |
+
],
|
| 198 |
+
[
|
| 199 |
+
5,
|
| 200 |
+
2
|
| 201 |
+
]
|
| 202 |
+
]
|
| 203 |
+
}
|
| 204 |
+
],
|
| 205 |
+
"meta": {
|
| 206 |
+
"seed": 4207003,
|
| 207 |
+
"requiredShapeCount": 4,
|
| 208 |
+
"distractorShapeCount": 3,
|
| 209 |
+
"shapePoolComplexity": "medium",
|
| 210 |
+
"overlapAllowed": true,
|
| 211 |
+
"overlapRatio": 0.25,
|
| 212 |
+
"contourComplexity": 12,
|
| 213 |
+
"connectedComponents": 1,
|
| 214 |
+
"fillRatio": 0.12,
|
| 215 |
+
"difficultyScore": 0.7,
|
| 216 |
+
"rasterScale": 16,
|
| 217 |
+
"targetPackaging": "solution_xor_components",
|
| 218 |
+
"catalogIndex": 453,
|
| 219 |
+
"strictValidation": true
|
| 220 |
+
},
|
| 221 |
+
"imageAssets": {
|
| 222 |
+
"target": "../images/voi-452/target.png",
|
| 223 |
+
"shapes": {
|
| 224 |
+
"S1": "../images/voi-452/shape_S1.png",
|
| 225 |
+
"S2": "../images/voi-452/shape_S2.png",
|
| 226 |
+
"S3": "../images/voi-452/shape_S3.png",
|
| 227 |
+
"S4": "../images/voi-452/shape_S4.png",
|
| 228 |
+
"S5": "../images/voi-452/shape_S5.png",
|
| 229 |
+
"S6": "../images/voi-452/shape_S6.png",
|
| 230 |
+
"S7": "../images/voi-452/shape_S7.png"
|
| 231 |
+
}
|
| 232 |
+
},
|
| 233 |
+
"ID": "voi-452",
|
| 234 |
+
"answer": {
|
| 235 |
+
"placements": [
|
| 236 |
+
{
|
| 237 |
+
"shape": "S2",
|
| 238 |
+
"angle": 180,
|
| 239 |
+
"vertex": "V1",
|
| 240 |
+
"grid": [
|
| 241 |
+
3,
|
| 242 |
+
4
|
| 243 |
+
]
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"shape": "S3",
|
| 247 |
+
"angle": 180,
|
| 248 |
+
"vertex": "V2",
|
| 249 |
+
"grid": [
|
| 250 |
+
3,
|
| 251 |
+
8
|
| 252 |
+
]
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"shape": "S5",
|
| 256 |
+
"angle": 0,
|
| 257 |
+
"vertex": "V3",
|
| 258 |
+
"grid": [
|
| 259 |
+
4,
|
| 260 |
+
6
|
| 261 |
+
]
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"shape": "S6",
|
| 265 |
+
"angle": 180,
|
| 266 |
+
"vertex": "V2",
|
| 267 |
+
"grid": [
|
| 268 |
+
2,
|
| 269 |
+
4
|
| 270 |
+
]
|
| 271 |
+
}
|
| 272 |
+
]
|
| 273 |
+
},
|
| 274 |
+
"legacy_answer": "S2 180 V1 [3,4]\nS3 180 V2 [3,8]\nS5 0 V3 [4,6]\nS6 180 V2 [2,4]",
|
| 275 |
+
"solutionText": "S2 180 V1 [3,4]\nS3 180 V2 [3,8]\nS5 0 V3 [4,6]\nS6 180 V2 [2,4]",
|
| 276 |
+
"prompt": {
|
| 277 |
+
"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 |
+
}
|
voi/data/voi-453.json
ADDED
|
@@ -0,0 +1,332 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
1,
|
| 19 |
+
1
|
| 20 |
+
],
|
| 21 |
+
"V5": [
|
| 22 |
+
1,
|
| 23 |
+
3
|
| 24 |
+
],
|
| 25 |
+
"V6": [
|
| 26 |
+
0,
|
| 27 |
+
3
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"S2": {
|
| 31 |
+
"V1": [
|
| 32 |
+
0,
|
| 33 |
+
0
|
| 34 |
+
],
|
| 35 |
+
"V2": [
|
| 36 |
+
2,
|
| 37 |
+
0
|
| 38 |
+
],
|
| 39 |
+
"V3": [
|
| 40 |
+
2,
|
| 41 |
+
1
|
| 42 |
+
],
|
| 43 |
+
"V4": [
|
| 44 |
+
1,
|
| 45 |
+
1
|
| 46 |
+
],
|
| 47 |
+
"V5": [
|
| 48 |
+
1,
|
| 49 |
+
3
|
| 50 |
+
],
|
| 51 |
+
"V6": [
|
| 52 |
+
0,
|
| 53 |
+
3
|
| 54 |
+
]
|
| 55 |
+
},
|
| 56 |
+
"S3": {
|
| 57 |
+
"V1": [
|
| 58 |
+
0,
|
| 59 |
+
0
|
| 60 |
+
],
|
| 61 |
+
"V2": [
|
| 62 |
+
2,
|
| 63 |
+
0
|
| 64 |
+
],
|
| 65 |
+
"V3": [
|
| 66 |
+
2,
|
| 67 |
+
1
|
| 68 |
+
],
|
| 69 |
+
"V4": [
|
| 70 |
+
1,
|
| 71 |
+
1
|
| 72 |
+
],
|
| 73 |
+
"V5": [
|
| 74 |
+
1,
|
| 75 |
+
3
|
| 76 |
+
],
|
| 77 |
+
"V6": [
|
| 78 |
+
0,
|
| 79 |
+
3
|
| 80 |
+
]
|
| 81 |
+
},
|
| 82 |
+
"S4": {
|
| 83 |
+
"V1": [
|
| 84 |
+
0,
|
| 85 |
+
0
|
| 86 |
+
],
|
| 87 |
+
"V2": [
|
| 88 |
+
2,
|
| 89 |
+
0
|
| 90 |
+
],
|
| 91 |
+
"V3": [
|
| 92 |
+
2,
|
| 93 |
+
1
|
| 94 |
+
],
|
| 95 |
+
"V4": [
|
| 96 |
+
1,
|
| 97 |
+
1
|
| 98 |
+
],
|
| 99 |
+
"V5": [
|
| 100 |
+
1,
|
| 101 |
+
3
|
| 102 |
+
],
|
| 103 |
+
"V6": [
|
| 104 |
+
0,
|
| 105 |
+
3
|
| 106 |
+
]
|
| 107 |
+
},
|
| 108 |
+
"S5": {
|
| 109 |
+
"V1": [
|
| 110 |
+
0,
|
| 111 |
+
0
|
| 112 |
+
],
|
| 113 |
+
"V2": [
|
| 114 |
+
2,
|
| 115 |
+
0
|
| 116 |
+
],
|
| 117 |
+
"V3": [
|
| 118 |
+
0,
|
| 119 |
+
2
|
| 120 |
+
]
|
| 121 |
+
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|
| 122 |
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"S6": {
|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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1
|
| 134 |
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|
| 135 |
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"V4": [
|
| 136 |
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0,
|
| 137 |
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1
|
| 138 |
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|
| 139 |
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|
| 140 |
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"S7": {
|
| 141 |
+
"V1": [
|
| 142 |
+
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|
| 143 |
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|
| 144 |
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|
| 145 |
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"V2": [
|
| 146 |
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2,
|
| 147 |
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|
| 148 |
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|
| 149 |
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"V3": [
|
| 150 |
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2,
|
| 151 |
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|
| 152 |
+
],
|
| 153 |
+
"V4": [
|
| 154 |
+
0,
|
| 155 |
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2
|
| 156 |
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]
|
| 157 |
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|
| 158 |
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},
|
| 159 |
+
"target": [
|
| 160 |
+
{
|
| 161 |
+
"polygon": [
|
| 162 |
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[
|
| 163 |
+
4,
|
| 164 |
+
7
|
| 165 |
+
],
|
| 166 |
+
[
|
| 167 |
+
2,
|
| 168 |
+
7
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
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2,
|
| 172 |
+
6
|
| 173 |
+
],
|
| 174 |
+
[
|
| 175 |
+
3,
|
| 176 |
+
6
|
| 177 |
+
],
|
| 178 |
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[
|
| 179 |
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3,
|
| 180 |
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4
|
| 181 |
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],
|
| 182 |
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[
|
| 183 |
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4,
|
| 184 |
+
4
|
| 185 |
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]
|
| 186 |
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]
|
| 187 |
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|
| 188 |
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{
|
| 189 |
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"polygon": [
|
| 190 |
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[
|
| 191 |
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|
| 192 |
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4
|
| 193 |
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|
| 194 |
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[
|
| 195 |
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6,
|
| 196 |
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4
|
| 197 |
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|
| 198 |
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[
|
| 199 |
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6,
|
| 200 |
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|
| 201 |
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|
| 202 |
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[
|
| 203 |
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5,
|
| 204 |
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5
|
| 205 |
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|
| 206 |
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[
|
| 207 |
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5,
|
| 208 |
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7
|
| 209 |
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|
| 210 |
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[
|
| 211 |
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4,
|
| 212 |
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7
|
| 213 |
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]
|
| 214 |
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]
|
| 215 |
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|
| 216 |
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{
|
| 217 |
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"polygon": [
|
| 218 |
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[
|
| 219 |
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|
| 220 |
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|
| 221 |
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|
| 222 |
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[
|
| 223 |
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4,
|
| 224 |
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5
|
| 225 |
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|
| 226 |
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[
|
| 227 |
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4,
|
| 228 |
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4
|
| 229 |
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],
|
| 230 |
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[
|
| 231 |
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7,
|
| 232 |
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4
|
| 233 |
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|
| 234 |
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]
|
| 235 |
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},
|
| 236 |
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{
|
| 237 |
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"polygon": [
|
| 238 |
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[
|
| 239 |
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5,
|
| 240 |
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2
|
| 241 |
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|
| 242 |
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[
|
| 243 |
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5,
|
| 244 |
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4
|
| 245 |
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],
|
| 246 |
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[
|
| 247 |
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3,
|
| 248 |
+
4
|
| 249 |
+
],
|
| 250 |
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[
|
| 251 |
+
3,
|
| 252 |
+
2
|
| 253 |
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]
|
| 254 |
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]
|
| 255 |
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}
|
| 256 |
+
],
|
| 257 |
+
"meta": {
|
| 258 |
+
"seed": 4207004,
|
| 259 |
+
"requiredShapeCount": 4,
|
| 260 |
+
"distractorShapeCount": 3,
|
| 261 |
+
"shapePoolComplexity": "medium",
|
| 262 |
+
"overlapAllowed": true,
|
| 263 |
+
"overlapRatio": 0.266667,
|
| 264 |
+
"contourComplexity": 14,
|
| 265 |
+
"connectedComponents": 2,
|
| 266 |
+
"fillRatio": 0.11,
|
| 267 |
+
"difficultyScore": 0.903333,
|
| 268 |
+
"rasterScale": 16,
|
| 269 |
+
"targetPackaging": "solution_xor_components",
|
| 270 |
+
"catalogIndex": 454,
|
| 271 |
+
"strictValidation": true
|
| 272 |
+
},
|
| 273 |
+
"imageAssets": {
|
| 274 |
+
"target": "../images/voi-453/target.png",
|
| 275 |
+
"shapes": {
|
| 276 |
+
"S1": "../images/voi-453/shape_S1.png",
|
| 277 |
+
"S2": "../images/voi-453/shape_S2.png",
|
| 278 |
+
"S3": "../images/voi-453/shape_S3.png",
|
| 279 |
+
"S4": "../images/voi-453/shape_S4.png",
|
| 280 |
+
"S5": "../images/voi-453/shape_S5.png",
|
| 281 |
+
"S6": "../images/voi-453/shape_S6.png",
|
| 282 |
+
"S7": "../images/voi-453/shape_S7.png"
|
| 283 |
+
}
|
| 284 |
+
},
|
| 285 |
+
"ID": "voi-453",
|
| 286 |
+
"answer": {
|
| 287 |
+
"placements": [
|
| 288 |
+
{
|
| 289 |
+
"shape": "S2",
|
| 290 |
+
"angle": 180,
|
| 291 |
+
"vertex": "V6",
|
| 292 |
+
"grid": [
|
| 293 |
+
4,
|
| 294 |
+
4
|
| 295 |
+
]
|
| 296 |
+
},
|
| 297 |
+
{
|
| 298 |
+
"shape": "S4",
|
| 299 |
+
"angle": 0,
|
| 300 |
+
"vertex": "V1",
|
| 301 |
+
"grid": [
|
| 302 |
+
4,
|
| 303 |
+
4
|
| 304 |
+
]
|
| 305 |
+
},
|
| 306 |
+
{
|
| 307 |
+
"shape": "S6",
|
| 308 |
+
"angle": 180,
|
| 309 |
+
"vertex": "V3",
|
| 310 |
+
"grid": [
|
| 311 |
+
4,
|
| 312 |
+
4
|
| 313 |
+
]
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"shape": "S7",
|
| 317 |
+
"angle": 270,
|
| 318 |
+
"vertex": "V1",
|
| 319 |
+
"grid": [
|
| 320 |
+
5,
|
| 321 |
+
2
|
| 322 |
+
]
|
| 323 |
+
}
|
| 324 |
+
]
|
| 325 |
+
},
|
| 326 |
+
"legacy_answer": "S2 180 V6 [4,4]\nS4 0 V1 [4,4]\nS6 180 V3 [4,4]\nS7 270 V1 [5,2]",
|
| 327 |
+
"solutionText": "S2 180 V6 [4,4]\nS4 0 V1 [4,4]\nS6 180 V3 [4,4]\nS7 270 V1 [5,2]",
|
| 328 |
+
"prompt": {
|
| 329 |
+
"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.",
|
| 330 |
+
"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."
|
| 331 |
+
}
|
| 332 |
+
}
|
voi/data/voi-454.json
ADDED
|
@@ -0,0 +1,304 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
1,
|
| 15 |
+
2
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
2
|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
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|
| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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|
| 32 |
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|
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| 36 |
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|
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| 41 |
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|
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|
| 59 |
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|
| 72 |
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|
| 126 |
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| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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| 133 |
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|
| 134 |
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|
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|
| 136 |
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|
| 137 |
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}
|
| 138 |
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},
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| 139 |
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"target": [
|
| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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| 145 |
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| 146 |
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| 147 |
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|
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|
| 149 |
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| 150 |
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| 153 |
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| 154 |
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| 159 |
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| 160 |
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| 161 |
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| 167 |
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| 169 |
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| 170 |
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| 171 |
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|
| 173 |
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| 174 |
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| 175 |
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| 177 |
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| 178 |
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| 179 |
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| 180 |
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| 181 |
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| 182 |
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| 183 |
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|
| 185 |
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| 186 |
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| 187 |
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|
| 189 |
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| 190 |
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[
|
| 191 |
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|
| 192 |
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|
| 193 |
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| 194 |
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[
|
| 195 |
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|
| 196 |
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|
| 197 |
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| 198 |
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| 199 |
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|
| 200 |
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|
| 201 |
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| 202 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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|
| 210 |
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[
|
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|
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|
| 213 |
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|
| 214 |
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[
|
| 215 |
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6,
|
| 216 |
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|
| 217 |
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|
| 218 |
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[
|
| 219 |
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4,
|
| 220 |
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6
|
| 221 |
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|
| 222 |
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[
|
| 223 |
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4,
|
| 224 |
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|
| 225 |
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]
|
| 226 |
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]
|
| 227 |
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}
|
| 228 |
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],
|
| 229 |
+
"meta": {
|
| 230 |
+
"seed": 4207005,
|
| 231 |
+
"requiredShapeCount": 4,
|
| 232 |
+
"distractorShapeCount": 3,
|
| 233 |
+
"shapePoolComplexity": "medium",
|
| 234 |
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"overlapAllowed": true,
|
| 235 |
+
"overlapRatio": 0.285714,
|
| 236 |
+
"contourComplexity": 14,
|
| 237 |
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"connectedComponents": 2,
|
| 238 |
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"fillRatio": 0.1,
|
| 239 |
+
"difficultyScore": 0.847143,
|
| 240 |
+
"rasterScale": 16,
|
| 241 |
+
"targetPackaging": "solution_xor_components",
|
| 242 |
+
"catalogIndex": 455,
|
| 243 |
+
"strictValidation": true
|
| 244 |
+
},
|
| 245 |
+
"imageAssets": {
|
| 246 |
+
"target": "../images/voi-454/target.png",
|
| 247 |
+
"shapes": {
|
| 248 |
+
"S1": "../images/voi-454/shape_S1.png",
|
| 249 |
+
"S2": "../images/voi-454/shape_S2.png",
|
| 250 |
+
"S3": "../images/voi-454/shape_S3.png",
|
| 251 |
+
"S4": "../images/voi-454/shape_S4.png",
|
| 252 |
+
"S5": "../images/voi-454/shape_S5.png",
|
| 253 |
+
"S6": "../images/voi-454/shape_S6.png",
|
| 254 |
+
"S7": "../images/voi-454/shape_S7.png"
|
| 255 |
+
}
|
| 256 |
+
},
|
| 257 |
+
"ID": "voi-454",
|
| 258 |
+
"answer": {
|
| 259 |
+
"placements": [
|
| 260 |
+
{
|
| 261 |
+
"shape": "S2",
|
| 262 |
+
"angle": 270,
|
| 263 |
+
"vertex": "V4",
|
| 264 |
+
"grid": [
|
| 265 |
+
4,
|
| 266 |
+
5
|
| 267 |
+
]
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"shape": "S4",
|
| 271 |
+
"angle": 0,
|
| 272 |
+
"vertex": "V1",
|
| 273 |
+
"grid": [
|
| 274 |
+
3,
|
| 275 |
+
5
|
| 276 |
+
]
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"shape": "S5",
|
| 280 |
+
"angle": 0,
|
| 281 |
+
"vertex": "V2",
|
| 282 |
+
"grid": [
|
| 283 |
+
10,
|
| 284 |
+
0
|
| 285 |
+
]
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"shape": "S7",
|
| 289 |
+
"angle": 270,
|
| 290 |
+
"vertex": "V1",
|
| 291 |
+
"grid": [
|
| 292 |
+
7,
|
| 293 |
+
5
|
| 294 |
+
]
|
| 295 |
+
}
|
| 296 |
+
]
|
| 297 |
+
},
|
| 298 |
+
"legacy_answer": "S2 270 V4 [4,5]\nS4 0 V1 [3,5]\nS5 0 V2 [10,0]\nS7 270 V1 [7,5]",
|
| 299 |
+
"solutionText": "S2 270 V4 [4,5]\nS4 0 V1 [3,5]\nS5 0 V2 [10,0]\nS7 270 V1 [7,5]",
|
| 300 |
+
"prompt": {
|
| 301 |
+
"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-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."
|
| 303 |
+
}
|
| 304 |
+
}
|
voi/data/voi-455.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
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"gridSize": 10,
|
| 3 |
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"inventory": {
|
| 4 |
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"S1": {
|
| 5 |
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|
| 6 |
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0,
|
| 7 |
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0
|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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"V3": [
|
| 14 |
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|
| 15 |
+
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|
| 16 |
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|
| 17 |
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"V4": [
|
| 18 |
+
1,
|
| 19 |
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1
|
| 20 |
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|
| 21 |
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|
| 22 |
+
1,
|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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0,
|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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0,
|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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"S3": {
|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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2,
|
| 77 |
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1
|
| 78 |
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|
| 79 |
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|
| 80 |
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0,
|
| 81 |
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1
|
| 82 |
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|
| 83 |
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|
| 84 |
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"S5": {
|
| 85 |
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|
| 86 |
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0,
|
| 87 |
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0
|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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0
|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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1,
|
| 99 |
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1
|
| 100 |
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|
| 101 |
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|
| 102 |
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1,
|
| 103 |
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3
|
| 104 |
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|
| 105 |
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"V6": [
|
| 106 |
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0,
|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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"S6": {
|
| 111 |
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"V1": [
|
| 112 |
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0,
|
| 113 |
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0
|
| 114 |
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|
| 115 |
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|
| 116 |
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3,
|
| 117 |
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0
|
| 118 |
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|
| 119 |
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|
| 120 |
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3,
|
| 121 |
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1
|
| 122 |
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|
| 123 |
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"V4": [
|
| 124 |
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0,
|
| 125 |
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1
|
| 126 |
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|
| 127 |
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|
| 128 |
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"S7": {
|
| 129 |
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"V1": [
|
| 130 |
+
0,
|
| 131 |
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0
|
| 132 |
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|
| 133 |
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"V2": [
|
| 134 |
+
1,
|
| 135 |
+
0
|
| 136 |
+
],
|
| 137 |
+
"V3": [
|
| 138 |
+
1,
|
| 139 |
+
3
|
| 140 |
+
],
|
| 141 |
+
"V4": [
|
| 142 |
+
0,
|
| 143 |
+
3
|
| 144 |
+
]
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"target": [
|
| 148 |
+
{
|
| 149 |
+
"polygon": [
|
| 150 |
+
[
|
| 151 |
+
9,
|
| 152 |
+
7
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
6,
|
| 156 |
+
7
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
6,
|
| 160 |
+
5
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
9,
|
| 164 |
+
5
|
| 165 |
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]
|
| 166 |
+
]
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
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"polygon": [
|
| 170 |
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[
|
| 171 |
+
6,
|
| 172 |
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3
|
| 173 |
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],
|
| 174 |
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[
|
| 175 |
+
9,
|
| 176 |
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3
|
| 177 |
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],
|
| 178 |
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[
|
| 179 |
+
9,
|
| 180 |
+
5
|
| 181 |
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],
|
| 182 |
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[
|
| 183 |
+
6,
|
| 184 |
+
5
|
| 185 |
+
]
|
| 186 |
+
]
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"polygon": [
|
| 190 |
+
[
|
| 191 |
+
5,
|
| 192 |
+
2
|
| 193 |
+
],
|
| 194 |
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[
|
| 195 |
+
7,
|
| 196 |
+
2
|
| 197 |
+
],
|
| 198 |
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[
|
| 199 |
+
7,
|
| 200 |
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3
|
| 201 |
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|
| 202 |
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[
|
| 203 |
+
6,
|
| 204 |
+
3
|
| 205 |
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],
|
| 206 |
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[
|
| 207 |
+
6,
|
| 208 |
+
5
|
| 209 |
+
],
|
| 210 |
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[
|
| 211 |
+
5,
|
| 212 |
+
5
|
| 213 |
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]
|
| 214 |
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]
|
| 215 |
+
},
|
| 216 |
+
{
|
| 217 |
+
"polygon": [
|
| 218 |
+
[
|
| 219 |
+
7,
|
| 220 |
+
7
|
| 221 |
+
],
|
| 222 |
+
[
|
| 223 |
+
7,
|
| 224 |
+
4
|
| 225 |
+
],
|
| 226 |
+
[
|
| 227 |
+
8,
|
| 228 |
+
4
|
| 229 |
+
],
|
| 230 |
+
[
|
| 231 |
+
8,
|
| 232 |
+
7
|
| 233 |
+
]
|
| 234 |
+
]
|
| 235 |
+
}
|
| 236 |
+
],
|
| 237 |
+
"meta": {
|
| 238 |
+
"seed": 4207006,
|
| 239 |
+
"requiredShapeCount": 4,
|
| 240 |
+
"distractorShapeCount": 3,
|
| 241 |
+
"shapePoolComplexity": "medium",
|
| 242 |
+
"overlapAllowed": true,
|
| 243 |
+
"overlapRatio": 0.315789,
|
| 244 |
+
"contourComplexity": 12,
|
| 245 |
+
"connectedComponents": 1,
|
| 246 |
+
"fillRatio": 0.13,
|
| 247 |
+
"difficultyScore": 0.416842,
|
| 248 |
+
"rasterScale": 16,
|
| 249 |
+
"targetPackaging": "solution_xor_components",
|
| 250 |
+
"catalogIndex": 456,
|
| 251 |
+
"strictValidation": true
|
| 252 |
+
},
|
| 253 |
+
"imageAssets": {
|
| 254 |
+
"target": "../images/voi-455/target.png",
|
| 255 |
+
"shapes": {
|
| 256 |
+
"S1": "../images/voi-455/shape_S1.png",
|
| 257 |
+
"S2": "../images/voi-455/shape_S2.png",
|
| 258 |
+
"S3": "../images/voi-455/shape_S3.png",
|
| 259 |
+
"S4": "../images/voi-455/shape_S4.png",
|
| 260 |
+
"S5": "../images/voi-455/shape_S5.png",
|
| 261 |
+
"S6": "../images/voi-455/shape_S6.png",
|
| 262 |
+
"S7": "../images/voi-455/shape_S7.png"
|
| 263 |
+
}
|
| 264 |
+
},
|
| 265 |
+
"ID": "voi-455",
|
| 266 |
+
"answer": {
|
| 267 |
+
"placements": [
|
| 268 |
+
{
|
| 269 |
+
"shape": "S2",
|
| 270 |
+
"angle": 180,
|
| 271 |
+
"vertex": "V4",
|
| 272 |
+
"grid": [
|
| 273 |
+
9,
|
| 274 |
+
5
|
| 275 |
+
]
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"shape": "S3",
|
| 279 |
+
"angle": 0,
|
| 280 |
+
"vertex": "V1",
|
| 281 |
+
"grid": [
|
| 282 |
+
6,
|
| 283 |
+
3
|
| 284 |
+
]
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"shape": "S5",
|
| 288 |
+
"angle": 0,
|
| 289 |
+
"vertex": "V4",
|
| 290 |
+
"grid": [
|
| 291 |
+
6,
|
| 292 |
+
3
|
| 293 |
+
]
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"shape": "S6",
|
| 297 |
+
"angle": 90,
|
| 298 |
+
"vertex": "V1",
|
| 299 |
+
"grid": [
|
| 300 |
+
7,
|
| 301 |
+
7
|
| 302 |
+
]
|
| 303 |
+
}
|
| 304 |
+
]
|
| 305 |
+
},
|
| 306 |
+
"legacy_answer": "S2 180 V4 [9,5]\nS3 0 V1 [6,3]\nS5 0 V4 [6,3]\nS6 90 V1 [7,7]",
|
| 307 |
+
"solutionText": "S2 180 V4 [9,5]\nS3 0 V1 [6,3]\nS5 0 V4 [6,3]\nS6 90 V1 [7,7]",
|
| 308 |
+
"prompt": {
|
| 309 |
+
"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 |
+
}
|
| 312 |
+
}
|
voi/data/voi-456.json
ADDED
|
@@ -0,0 +1,288 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
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"inventory": {
|
| 4 |
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"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
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],
|
| 9 |
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|
| 10 |
+
3,
|
| 11 |
+
0
|
| 12 |
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],
|
| 13 |
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"V3": [
|
| 14 |
+
3,
|
| 15 |
+
1
|
| 16 |
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],
|
| 17 |
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"V4": [
|
| 18 |
+
0,
|
| 19 |
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1
|
| 20 |
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]
|
| 21 |
+
},
|
| 22 |
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"S2": {
|
| 23 |
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|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
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],
|
| 27 |
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"V2": [
|
| 28 |
+
1,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
1,
|
| 33 |
+
3
|
| 34 |
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],
|
| 35 |
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|
| 36 |
+
0,
|
| 37 |
+
3
|
| 38 |
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]
|
| 39 |
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},
|
| 40 |
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"S3": {
|
| 41 |
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"V1": [
|
| 42 |
+
0,
|
| 43 |
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0
|
| 44 |
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],
|
| 45 |
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"V2": [
|
| 46 |
+
3,
|
| 47 |
+
0
|
| 48 |
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],
|
| 49 |
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"V3": [
|
| 50 |
+
2,
|
| 51 |
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1
|
| 52 |
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],
|
| 53 |
+
"V4": [
|
| 54 |
+
0,
|
| 55 |
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1
|
| 56 |
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]
|
| 57 |
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|
| 58 |
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"S4": {
|
| 59 |
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|
| 60 |
+
0,
|
| 61 |
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0
|
| 62 |
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|
| 63 |
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"V2": [
|
| 64 |
+
1,
|
| 65 |
+
0
|
| 66 |
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],
|
| 67 |
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"V3": [
|
| 68 |
+
1,
|
| 69 |
+
2
|
| 70 |
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],
|
| 71 |
+
"V4": [
|
| 72 |
+
0,
|
| 73 |
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2
|
| 74 |
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]
|
| 75 |
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},
|
| 76 |
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"S5": {
|
| 77 |
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"V1": [
|
| 78 |
+
0,
|
| 79 |
+
0
|
| 80 |
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],
|
| 81 |
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"V2": [
|
| 82 |
+
3,
|
| 83 |
+
0
|
| 84 |
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],
|
| 85 |
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"V3": [
|
| 86 |
+
3,
|
| 87 |
+
1
|
| 88 |
+
],
|
| 89 |
+
"V4": [
|
| 90 |
+
0,
|
| 91 |
+
1
|
| 92 |
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]
|
| 93 |
+
},
|
| 94 |
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"S6": {
|
| 95 |
+
"V1": [
|
| 96 |
+
0,
|
| 97 |
+
0
|
| 98 |
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],
|
| 99 |
+
"V2": [
|
| 100 |
+
1,
|
| 101 |
+
0
|
| 102 |
+
],
|
| 103 |
+
"V3": [
|
| 104 |
+
1,
|
| 105 |
+
2
|
| 106 |
+
],
|
| 107 |
+
"V4": [
|
| 108 |
+
0,
|
| 109 |
+
2
|
| 110 |
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]
|
| 111 |
+
},
|
| 112 |
+
"S7": {
|
| 113 |
+
"V1": [
|
| 114 |
+
0,
|
| 115 |
+
0
|
| 116 |
+
],
|
| 117 |
+
"V2": [
|
| 118 |
+
3,
|
| 119 |
+
0
|
| 120 |
+
],
|
| 121 |
+
"V3": [
|
| 122 |
+
3,
|
| 123 |
+
2
|
| 124 |
+
],
|
| 125 |
+
"V4": [
|
| 126 |
+
0,
|
| 127 |
+
2
|
| 128 |
+
]
|
| 129 |
+
}
|
| 130 |
+
},
|
| 131 |
+
"target": [
|
| 132 |
+
{
|
| 133 |
+
"polygon": [
|
| 134 |
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[
|
| 135 |
+
3,
|
| 136 |
+
7
|
| 137 |
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],
|
| 138 |
+
[
|
| 139 |
+
0,
|
| 140 |
+
7
|
| 141 |
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],
|
| 142 |
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[
|
| 143 |
+
0,
|
| 144 |
+
6
|
| 145 |
+
],
|
| 146 |
+
[
|
| 147 |
+
3,
|
| 148 |
+
6
|
| 149 |
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]
|
| 150 |
+
]
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"polygon": [
|
| 154 |
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[
|
| 155 |
+
5,
|
| 156 |
+
9
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
5,
|
| 160 |
+
8
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
8,
|
| 164 |
+
8
|
| 165 |
+
],
|
| 166 |
+
[
|
| 167 |
+
8,
|
| 168 |
+
9
|
| 169 |
+
]
|
| 170 |
+
]
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"polygon": [
|
| 174 |
+
[
|
| 175 |
+
3,
|
| 176 |
+
6
|
| 177 |
+
],
|
| 178 |
+
[
|
| 179 |
+
2,
|
| 180 |
+
6
|
| 181 |
+
],
|
| 182 |
+
[
|
| 183 |
+
2,
|
| 184 |
+
4
|
| 185 |
+
],
|
| 186 |
+
[
|
| 187 |
+
3,
|
| 188 |
+
4
|
| 189 |
+
]
|
| 190 |
+
]
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"polygon": [
|
| 194 |
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[
|
| 195 |
+
0,
|
| 196 |
+
7
|
| 197 |
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],
|
| 198 |
+
[
|
| 199 |
+
0,
|
| 200 |
+
4
|
| 201 |
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],
|
| 202 |
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[
|
| 203 |
+
2,
|
| 204 |
+
4
|
| 205 |
+
],
|
| 206 |
+
[
|
| 207 |
+
2,
|
| 208 |
+
7
|
| 209 |
+
]
|
| 210 |
+
]
|
| 211 |
+
}
|
| 212 |
+
],
|
| 213 |
+
"meta": {
|
| 214 |
+
"seed": 4207007,
|
| 215 |
+
"requiredShapeCount": 4,
|
| 216 |
+
"distractorShapeCount": 3,
|
| 217 |
+
"shapePoolComplexity": "medium",
|
| 218 |
+
"overlapAllowed": true,
|
| 219 |
+
"overlapRatio": 0.285714,
|
| 220 |
+
"contourComplexity": 10,
|
| 221 |
+
"connectedComponents": 2,
|
| 222 |
+
"fillRatio": 0.1,
|
| 223 |
+
"difficultyScore": 0.847143,
|
| 224 |
+
"rasterScale": 16,
|
| 225 |
+
"targetPackaging": "solution_xor_components",
|
| 226 |
+
"catalogIndex": 457,
|
| 227 |
+
"strictValidation": true
|
| 228 |
+
},
|
| 229 |
+
"imageAssets": {
|
| 230 |
+
"target": "../images/voi-456/target.png",
|
| 231 |
+
"shapes": {
|
| 232 |
+
"S1": "../images/voi-456/shape_S1.png",
|
| 233 |
+
"S2": "../images/voi-456/shape_S2.png",
|
| 234 |
+
"S3": "../images/voi-456/shape_S3.png",
|
| 235 |
+
"S4": "../images/voi-456/shape_S4.png",
|
| 236 |
+
"S5": "../images/voi-456/shape_S5.png",
|
| 237 |
+
"S6": "../images/voi-456/shape_S6.png",
|
| 238 |
+
"S7": "../images/voi-456/shape_S7.png"
|
| 239 |
+
}
|
| 240 |
+
},
|
| 241 |
+
"ID": "voi-456",
|
| 242 |
+
"answer": {
|
| 243 |
+
"placements": [
|
| 244 |
+
{
|
| 245 |
+
"shape": "S1",
|
| 246 |
+
"angle": 180,
|
| 247 |
+
"vertex": "V2",
|
| 248 |
+
"grid": [
|
| 249 |
+
0,
|
| 250 |
+
7
|
| 251 |
+
]
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"shape": "S2",
|
| 255 |
+
"angle": 90,
|
| 256 |
+
"vertex": "V4",
|
| 257 |
+
"grid": [
|
| 258 |
+
8,
|
| 259 |
+
9
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"shape": "S4",
|
| 264 |
+
"angle": 180,
|
| 265 |
+
"vertex": "V1",
|
| 266 |
+
"grid": [
|
| 267 |
+
3,
|
| 268 |
+
6
|
| 269 |
+
]
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"shape": "S7",
|
| 273 |
+
"angle": 90,
|
| 274 |
+
"vertex": "V4",
|
| 275 |
+
"grid": [
|
| 276 |
+
2,
|
| 277 |
+
7
|
| 278 |
+
]
|
| 279 |
+
}
|
| 280 |
+
]
|
| 281 |
+
},
|
| 282 |
+
"legacy_answer": "S1 180 V2 [0,7]\nS2 90 V4 [8,9]\nS4 180 V1 [3,6]\nS7 90 V4 [2,7]",
|
| 283 |
+
"solutionText": "S1 180 V2 [0,7]\nS2 90 V4 [8,9]\nS4 180 V1 [3,6]\nS7 90 V4 [2,7]",
|
| 284 |
+
"prompt": {
|
| 285 |
+
"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."
|
| 287 |
+
}
|
| 288 |
+
}
|
voi/data/voi-457.json
ADDED
|
@@ -0,0 +1,300 @@
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
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|
| 8 |
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| 9 |
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|
| 10 |
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|
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| 13 |
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|
| 14 |
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|
| 16 |
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|
| 18 |
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|
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|
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|
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| 33 |
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| 34 |
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|
| 36 |
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| 37 |
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| 38 |
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| 39 |
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| 40 |
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|
| 41 |
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| 42 |
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|
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| 44 |
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| 45 |
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| 48 |
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| 49 |
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|
| 50 |
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| 51 |
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| 52 |
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|
| 54 |
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| 55 |
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| 56 |
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| 57 |
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|
| 58 |
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|
| 59 |
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|
| 60 |
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|
| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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|
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|
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| 70 |
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|
| 72 |
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| 74 |
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| 75 |
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|
| 76 |
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| 77 |
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|
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|
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|
| 90 |
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|
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|
| 92 |
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|
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|
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 122 |
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|
| 123 |
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0
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| 124 |
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],
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| 125 |
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"V2": [
|
| 126 |
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1,
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| 127 |
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0
|
| 128 |
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],
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| 129 |
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"V3": [
|
| 130 |
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0,
|
| 131 |
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1
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| 132 |
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]
|
| 133 |
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}
|
| 134 |
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},
|
| 135 |
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"target": [
|
| 136 |
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{
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| 137 |
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[
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|
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[
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| 145 |
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| 146 |
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|
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| 149 |
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|
| 150 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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| 219 |
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|
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|
| 221 |
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|
| 222 |
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|
| 223 |
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}
|
| 224 |
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],
|
| 225 |
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"meta": {
|
| 226 |
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"seed": 4207008,
|
| 227 |
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"requiredShapeCount": 4,
|
| 228 |
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"distractorShapeCount": 3,
|
| 229 |
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"shapePoolComplexity": "medium",
|
| 230 |
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"overlapAllowed": true,
|
| 231 |
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"overlapRatio": 0.222222,
|
| 232 |
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"contourComplexity": 14,
|
| 233 |
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"connectedComponents": 1,
|
| 234 |
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"fillRatio": 0.14,
|
| 235 |
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"difficultyScore": 0.771111,
|
| 236 |
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"rasterScale": 16,
|
| 237 |
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"targetPackaging": "solution_xor_components",
|
| 238 |
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"catalogIndex": 458,
|
| 239 |
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"strictValidation": true
|
| 240 |
+
},
|
| 241 |
+
"imageAssets": {
|
| 242 |
+
"target": "../images/voi-457/target.png",
|
| 243 |
+
"shapes": {
|
| 244 |
+
"S1": "../images/voi-457/shape_S1.png",
|
| 245 |
+
"S2": "../images/voi-457/shape_S2.png",
|
| 246 |
+
"S3": "../images/voi-457/shape_S3.png",
|
| 247 |
+
"S4": "../images/voi-457/shape_S4.png",
|
| 248 |
+
"S5": "../images/voi-457/shape_S5.png",
|
| 249 |
+
"S6": "../images/voi-457/shape_S6.png",
|
| 250 |
+
"S7": "../images/voi-457/shape_S7.png"
|
| 251 |
+
}
|
| 252 |
+
},
|
| 253 |
+
"ID": "voi-457",
|
| 254 |
+
"answer": {
|
| 255 |
+
"placements": [
|
| 256 |
+
{
|
| 257 |
+
"shape": "S2",
|
| 258 |
+
"angle": 270,
|
| 259 |
+
"vertex": "V2",
|
| 260 |
+
"grid": [
|
| 261 |
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5,
|
| 262 |
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6
|
| 263 |
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]
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"shape": "S4",
|
| 267 |
+
"angle": 90,
|
| 268 |
+
"vertex": "V3",
|
| 269 |
+
"grid": [
|
| 270 |
+
6,
|
| 271 |
+
1
|
| 272 |
+
]
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"shape": "S5",
|
| 276 |
+
"angle": 90,
|
| 277 |
+
"vertex": "V1",
|
| 278 |
+
"grid": [
|
| 279 |
+
2,
|
| 280 |
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2
|
| 281 |
+
]
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"shape": "S6",
|
| 285 |
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"angle": 180,
|
| 286 |
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"vertex": "V1",
|
| 287 |
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"grid": [
|
| 288 |
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5,
|
| 289 |
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2
|
| 290 |
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]
|
| 291 |
+
}
|
| 292 |
+
]
|
| 293 |
+
},
|
| 294 |
+
"legacy_answer": "S2 270 V2 [5,6]\nS4 90 V3 [6,1]\nS5 90 V1 [2,2]\nS6 180 V1 [5,2]",
|
| 295 |
+
"solutionText": "S2 270 V2 [5,6]\nS4 90 V3 [6,1]\nS5 90 V1 [2,2]\nS6 180 V1 [5,2]",
|
| 296 |
+
"prompt": {
|
| 297 |
+
"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 |
+
}
|
voi/data/voi-458.json
ADDED
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@@ -0,0 +1,296 @@
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| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
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|
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|
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|
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|
| 16 |
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|
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|
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|
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|
| 23 |
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|
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|
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|
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| 30 |
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|
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| 34 |
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|
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|
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| 41 |
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|
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|
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| 50 |
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|
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| 52 |
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| 53 |
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| 56 |
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| 58 |
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| 60 |
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|
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3,
|
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1
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| 78 |
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|
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|
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1
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"V1": [
|
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"V3": [
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"S7": {
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"V1": [
|
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"V2": [
|
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3,
|
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0
|
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],
|
| 129 |
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"V3": [
|
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3,
|
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1
|
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],
|
| 133 |
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"V4": [
|
| 134 |
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0,
|
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1
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]
|
| 137 |
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}
|
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"target": [
|
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{
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[
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4,
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2
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],
|
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[
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|
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|
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[
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|
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|
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|
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[
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|
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|
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|
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|
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|
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|
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[
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|
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|
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|
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|
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|
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|
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|
| 217 |
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|
| 218 |
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|
| 219 |
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}
|
| 220 |
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],
|
| 221 |
+
"meta": {
|
| 222 |
+
"seed": 4207009,
|
| 223 |
+
"requiredShapeCount": 4,
|
| 224 |
+
"distractorShapeCount": 3,
|
| 225 |
+
"shapePoolComplexity": "medium",
|
| 226 |
+
"overlapAllowed": true,
|
| 227 |
+
"overlapRatio": 0.25,
|
| 228 |
+
"contourComplexity": 14,
|
| 229 |
+
"connectedComponents": 2,
|
| 230 |
+
"fillRatio": 0.12,
|
| 231 |
+
"difficultyScore": 0.95,
|
| 232 |
+
"rasterScale": 16,
|
| 233 |
+
"targetPackaging": "solution_xor_components",
|
| 234 |
+
"catalogIndex": 459,
|
| 235 |
+
"strictValidation": true
|
| 236 |
+
},
|
| 237 |
+
"imageAssets": {
|
| 238 |
+
"target": "../images/voi-458/target.png",
|
| 239 |
+
"shapes": {
|
| 240 |
+
"S1": "../images/voi-458/shape_S1.png",
|
| 241 |
+
"S2": "../images/voi-458/shape_S2.png",
|
| 242 |
+
"S3": "../images/voi-458/shape_S3.png",
|
| 243 |
+
"S4": "../images/voi-458/shape_S4.png",
|
| 244 |
+
"S5": "../images/voi-458/shape_S5.png",
|
| 245 |
+
"S6": "../images/voi-458/shape_S6.png",
|
| 246 |
+
"S7": "../images/voi-458/shape_S7.png"
|
| 247 |
+
}
|
| 248 |
+
},
|
| 249 |
+
"ID": "voi-458",
|
| 250 |
+
"answer": {
|
| 251 |
+
"placements": [
|
| 252 |
+
{
|
| 253 |
+
"shape": "S1",
|
| 254 |
+
"angle": 90,
|
| 255 |
+
"vertex": "V4",
|
| 256 |
+
"grid": [
|
| 257 |
+
7,
|
| 258 |
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2
|
| 259 |
+
]
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"shape": "S2",
|
| 263 |
+
"angle": 180,
|
| 264 |
+
"vertex": "V1",
|
| 265 |
+
"grid": [
|
| 266 |
+
4,
|
| 267 |
+
2
|
| 268 |
+
]
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"shape": "S5",
|
| 272 |
+
"angle": 0,
|
| 273 |
+
"vertex": "V1",
|
| 274 |
+
"grid": [
|
| 275 |
+
0,
|
| 276 |
+
0
|
| 277 |
+
]
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"shape": "S6",
|
| 281 |
+
"angle": 90,
|
| 282 |
+
"vertex": "V1",
|
| 283 |
+
"grid": [
|
| 284 |
+
3,
|
| 285 |
+
3
|
| 286 |
+
]
|
| 287 |
+
}
|
| 288 |
+
]
|
| 289 |
+
},
|
| 290 |
+
"legacy_answer": "S1 90 V4 [7,2]\nS2 180 V1 [4,2]\nS5 0 V1 [0,0]\nS6 90 V1 [3,3]",
|
| 291 |
+
"solutionText": "S1 90 V4 [7,2]\nS2 180 V1 [4,2]\nS5 0 V1 [0,0]\nS6 90 V1 [3,3]",
|
| 292 |
+
"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 |
+
}
|
| 296 |
+
}
|
voi/data/voi-459.json
ADDED
|
@@ -0,0 +1,300 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
1,
|
| 19 |
+
1
|
| 20 |
+
],
|
| 21 |
+
"V5": [
|
| 22 |
+
1,
|
| 23 |
+
3
|
| 24 |
+
],
|
| 25 |
+
"V6": [
|
| 26 |
+
0,
|
| 27 |
+
3
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"S2": {
|
| 31 |
+
"V1": [
|
| 32 |
+
0,
|
| 33 |
+
0
|
| 34 |
+
],
|
| 35 |
+
"V2": [
|
| 36 |
+
2,
|
| 37 |
+
0
|
| 38 |
+
],
|
| 39 |
+
"V3": [
|
| 40 |
+
2,
|
| 41 |
+
2
|
| 42 |
+
],
|
| 43 |
+
"V4": [
|
| 44 |
+
0,
|
| 45 |
+
2
|
| 46 |
+
]
|
| 47 |
+
},
|
| 48 |
+
"S3": {
|
| 49 |
+
"V1": [
|
| 50 |
+
0,
|
| 51 |
+
0
|
| 52 |
+
],
|
| 53 |
+
"V2": [
|
| 54 |
+
3,
|
| 55 |
+
0
|
| 56 |
+
],
|
| 57 |
+
"V3": [
|
| 58 |
+
3,
|
| 59 |
+
1
|
| 60 |
+
],
|
| 61 |
+
"V4": [
|
| 62 |
+
0,
|
| 63 |
+
1
|
| 64 |
+
]
|
| 65 |
+
},
|
| 66 |
+
"S4": {
|
| 67 |
+
"V1": [
|
| 68 |
+
0,
|
| 69 |
+
0
|
| 70 |
+
],
|
| 71 |
+
"V2": [
|
| 72 |
+
2,
|
| 73 |
+
0
|
| 74 |
+
],
|
| 75 |
+
"V3": [
|
| 76 |
+
2,
|
| 77 |
+
2
|
| 78 |
+
],
|
| 79 |
+
"V4": [
|
| 80 |
+
0,
|
| 81 |
+
2
|
| 82 |
+
]
|
| 83 |
+
},
|
| 84 |
+
"S5": {
|
| 85 |
+
"V1": [
|
| 86 |
+
0,
|
| 87 |
+
0
|
| 88 |
+
],
|
| 89 |
+
"V2": [
|
| 90 |
+
1,
|
| 91 |
+
0
|
| 92 |
+
],
|
| 93 |
+
"V3": [
|
| 94 |
+
1,
|
| 95 |
+
3
|
| 96 |
+
],
|
| 97 |
+
"V4": [
|
| 98 |
+
0,
|
| 99 |
+
3
|
| 100 |
+
]
|
| 101 |
+
},
|
| 102 |
+
"S6": {
|
| 103 |
+
"V1": [
|
| 104 |
+
0,
|
| 105 |
+
0
|
| 106 |
+
],
|
| 107 |
+
"V2": [
|
| 108 |
+
2,
|
| 109 |
+
0
|
| 110 |
+
],
|
| 111 |
+
"V3": [
|
| 112 |
+
0,
|
| 113 |
+
2
|
| 114 |
+
]
|
| 115 |
+
},
|
| 116 |
+
"S7": {
|
| 117 |
+
"V1": [
|
| 118 |
+
0,
|
| 119 |
+
0
|
| 120 |
+
],
|
| 121 |
+
"V2": [
|
| 122 |
+
3,
|
| 123 |
+
0
|
| 124 |
+
],
|
| 125 |
+
"V3": [
|
| 126 |
+
3,
|
| 127 |
+
2
|
| 128 |
+
],
|
| 129 |
+
"V4": [
|
| 130 |
+
0,
|
| 131 |
+
2
|
| 132 |
+
]
|
| 133 |
+
}
|
| 134 |
+
},
|
| 135 |
+
"target": [
|
| 136 |
+
{
|
| 137 |
+
"polygon": [
|
| 138 |
+
[
|
| 139 |
+
1,
|
| 140 |
+
8
|
| 141 |
+
],
|
| 142 |
+
[
|
| 143 |
+
1,
|
| 144 |
+
6
|
| 145 |
+
],
|
| 146 |
+
[
|
| 147 |
+
2,
|
| 148 |
+
6
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
2,
|
| 152 |
+
7
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
4,
|
| 156 |
+
7
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
4,
|
| 160 |
+
8
|
| 161 |
+
]
|
| 162 |
+
]
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"polygon": [
|
| 166 |
+
[
|
| 167 |
+
2,
|
| 168 |
+
5
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
2,
|
| 172 |
+
7
|
| 173 |
+
],
|
| 174 |
+
[
|
| 175 |
+
0,
|
| 176 |
+
7
|
| 177 |
+
],
|
| 178 |
+
[
|
| 179 |
+
0,
|
| 180 |
+
5
|
| 181 |
+
]
|
| 182 |
+
]
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"polygon": [
|
| 186 |
+
[
|
| 187 |
+
3,
|
| 188 |
+
8
|
| 189 |
+
],
|
| 190 |
+
[
|
| 191 |
+
5,
|
| 192 |
+
8
|
| 193 |
+
],
|
| 194 |
+
[
|
| 195 |
+
5,
|
| 196 |
+
10
|
| 197 |
+
],
|
| 198 |
+
[
|
| 199 |
+
3,
|
| 200 |
+
10
|
| 201 |
+
]
|
| 202 |
+
]
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"polygon": [
|
| 206 |
+
[
|
| 207 |
+
4,
|
| 208 |
+
10
|
| 209 |
+
],
|
| 210 |
+
[
|
| 211 |
+
4,
|
| 212 |
+
7
|
| 213 |
+
],
|
| 214 |
+
[
|
| 215 |
+
6,
|
| 216 |
+
7
|
| 217 |
+
],
|
| 218 |
+
[
|
| 219 |
+
6,
|
| 220 |
+
10
|
| 221 |
+
]
|
| 222 |
+
]
|
| 223 |
+
}
|
| 224 |
+
],
|
| 225 |
+
"meta": {
|
| 226 |
+
"seed": 4207010,
|
| 227 |
+
"requiredShapeCount": 4,
|
| 228 |
+
"distractorShapeCount": 3,
|
| 229 |
+
"shapePoolComplexity": "medium",
|
| 230 |
+
"overlapAllowed": true,
|
| 231 |
+
"overlapRatio": 0.333333,
|
| 232 |
+
"contourComplexity": 16,
|
| 233 |
+
"connectedComponents": 2,
|
| 234 |
+
"fillRatio": 0.12,
|
| 235 |
+
"difficultyScore": 0.616667,
|
| 236 |
+
"rasterScale": 16,
|
| 237 |
+
"targetPackaging": "solution_xor_components",
|
| 238 |
+
"catalogIndex": 460,
|
| 239 |
+
"strictValidation": true
|
| 240 |
+
},
|
| 241 |
+
"imageAssets": {
|
| 242 |
+
"target": "../images/voi-459/target.png",
|
| 243 |
+
"shapes": {
|
| 244 |
+
"S1": "../images/voi-459/shape_S1.png",
|
| 245 |
+
"S2": "../images/voi-459/shape_S2.png",
|
| 246 |
+
"S3": "../images/voi-459/shape_S3.png",
|
| 247 |
+
"S4": "../images/voi-459/shape_S4.png",
|
| 248 |
+
"S5": "../images/voi-459/shape_S5.png",
|
| 249 |
+
"S6": "../images/voi-459/shape_S6.png",
|
| 250 |
+
"S7": "../images/voi-459/shape_S7.png"
|
| 251 |
+
}
|
| 252 |
+
},
|
| 253 |
+
"ID": "voi-459",
|
| 254 |
+
"answer": {
|
| 255 |
+
"placements": [
|
| 256 |
+
{
|
| 257 |
+
"shape": "S1",
|
| 258 |
+
"angle": 90,
|
| 259 |
+
"vertex": "V1",
|
| 260 |
+
"grid": [
|
| 261 |
+
1,
|
| 262 |
+
8
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"shape": "S2",
|
| 267 |
+
"angle": 270,
|
| 268 |
+
"vertex": "V3",
|
| 269 |
+
"grid": [
|
| 270 |
+
0,
|
| 271 |
+
7
|
| 272 |
+
]
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"shape": "S4",
|
| 276 |
+
"angle": 0,
|
| 277 |
+
"vertex": "V2",
|
| 278 |
+
"grid": [
|
| 279 |
+
5,
|
| 280 |
+
8
|
| 281 |
+
]
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"shape": "S7",
|
| 285 |
+
"angle": 90,
|
| 286 |
+
"vertex": "V4",
|
| 287 |
+
"grid": [
|
| 288 |
+
6,
|
| 289 |
+
10
|
| 290 |
+
]
|
| 291 |
+
}
|
| 292 |
+
]
|
| 293 |
+
},
|
| 294 |
+
"legacy_answer": "S1 90 V1 [1,8]\nS2 270 V3 [0,7]\nS4 0 V2 [5,8]\nS7 90 V4 [6,10]",
|
| 295 |
+
"solutionText": "S1 90 V1 [1,8]\nS2 270 V3 [0,7]\nS4 0 V2 [5,8]\nS7 90 V4 [6,10]",
|
| 296 |
+
"prompt": {
|
| 297 |
+
"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-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 |
+
}
|
voi/data/voi-460.json
ADDED
|
@@ -0,0 +1,268 @@
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|
|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
3,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
3,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
1
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
3,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
3,
|
| 33 |
+
2
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
2
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
1,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
0,
|
| 51 |
+
1
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
+
0,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V2": [
|
| 60 |
+
2,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
2,
|
| 65 |
+
2
|
| 66 |
+
],
|
| 67 |
+
"V4": [
|
| 68 |
+
0,
|
| 69 |
+
2
|
| 70 |
+
]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
+
"V1": [
|
| 74 |
+
0,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V2": [
|
| 78 |
+
2,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V3": [
|
| 82 |
+
0,
|
| 83 |
+
2
|
| 84 |
+
]
|
| 85 |
+
},
|
| 86 |
+
"S6": {
|
| 87 |
+
"V1": [
|
| 88 |
+
0,
|
| 89 |
+
0
|
| 90 |
+
],
|
| 91 |
+
"V2": [
|
| 92 |
+
2,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V3": [
|
| 96 |
+
0,
|
| 97 |
+
2
|
| 98 |
+
]
|
| 99 |
+
},
|
| 100 |
+
"S7": {
|
| 101 |
+
"V1": [
|
| 102 |
+
0,
|
| 103 |
+
0
|
| 104 |
+
],
|
| 105 |
+
"V2": [
|
| 106 |
+
2,
|
| 107 |
+
0
|
| 108 |
+
],
|
| 109 |
+
"V3": [
|
| 110 |
+
0,
|
| 111 |
+
2
|
| 112 |
+
]
|
| 113 |
+
}
|
| 114 |
+
},
|
| 115 |
+
"target": [
|
| 116 |
+
{
|
| 117 |
+
"polygon": [
|
| 118 |
+
[
|
| 119 |
+
2,
|
| 120 |
+
5
|
| 121 |
+
],
|
| 122 |
+
[
|
| 123 |
+
5,
|
| 124 |
+
5
|
| 125 |
+
],
|
| 126 |
+
[
|
| 127 |
+
5,
|
| 128 |
+
6
|
| 129 |
+
],
|
| 130 |
+
[
|
| 131 |
+
2,
|
| 132 |
+
6
|
| 133 |
+
]
|
| 134 |
+
]
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"polygon": [
|
| 138 |
+
[
|
| 139 |
+
4,
|
| 140 |
+
7
|
| 141 |
+
],
|
| 142 |
+
[
|
| 143 |
+
1,
|
| 144 |
+
7
|
| 145 |
+
],
|
| 146 |
+
[
|
| 147 |
+
1,
|
| 148 |
+
5
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
4,
|
| 152 |
+
5
|
| 153 |
+
]
|
| 154 |
+
]
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"polygon": [
|
| 158 |
+
[
|
| 159 |
+
0,
|
| 160 |
+
5
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
0,
|
| 164 |
+
3
|
| 165 |
+
],
|
| 166 |
+
[
|
| 167 |
+
2,
|
| 168 |
+
3
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
2,
|
| 172 |
+
5
|
| 173 |
+
]
|
| 174 |
+
]
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"polygon": [
|
| 178 |
+
[
|
| 179 |
+
4,
|
| 180 |
+
8
|
| 181 |
+
],
|
| 182 |
+
[
|
| 183 |
+
4,
|
| 184 |
+
6
|
| 185 |
+
],
|
| 186 |
+
[
|
| 187 |
+
6,
|
| 188 |
+
8
|
| 189 |
+
]
|
| 190 |
+
]
|
| 191 |
+
}
|
| 192 |
+
],
|
| 193 |
+
"meta": {
|
| 194 |
+
"seed": 4207011,
|
| 195 |
+
"requiredShapeCount": 4,
|
| 196 |
+
"distractorShapeCount": 3,
|
| 197 |
+
"shapePoolComplexity": "medium",
|
| 198 |
+
"overlapAllowed": true,
|
| 199 |
+
"overlapRatio": 0.26556,
|
| 200 |
+
"contourComplexity": 76,
|
| 201 |
+
"connectedComponents": 1,
|
| 202 |
+
"fillRatio": 0.110625,
|
| 203 |
+
"difficultyScore": 0.656509,
|
| 204 |
+
"rasterScale": 16,
|
| 205 |
+
"targetPackaging": "solution_xor_components",
|
| 206 |
+
"catalogIndex": 461,
|
| 207 |
+
"strictValidation": true
|
| 208 |
+
},
|
| 209 |
+
"imageAssets": {
|
| 210 |
+
"target": "../images/voi-460/target.png",
|
| 211 |
+
"shapes": {
|
| 212 |
+
"S1": "../images/voi-460/shape_S1.png",
|
| 213 |
+
"S2": "../images/voi-460/shape_S2.png",
|
| 214 |
+
"S3": "../images/voi-460/shape_S3.png",
|
| 215 |
+
"S4": "../images/voi-460/shape_S4.png",
|
| 216 |
+
"S5": "../images/voi-460/shape_S5.png",
|
| 217 |
+
"S6": "../images/voi-460/shape_S6.png",
|
| 218 |
+
"S7": "../images/voi-460/shape_S7.png"
|
| 219 |
+
}
|
| 220 |
+
},
|
| 221 |
+
"ID": "voi-460",
|
| 222 |
+
"answer": {
|
| 223 |
+
"placements": [
|
| 224 |
+
{
|
| 225 |
+
"shape": "S1",
|
| 226 |
+
"angle": 0,
|
| 227 |
+
"vertex": "V4",
|
| 228 |
+
"grid": [
|
| 229 |
+
2,
|
| 230 |
+
6
|
| 231 |
+
]
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"shape": "S2",
|
| 235 |
+
"angle": 180,
|
| 236 |
+
"vertex": "V2",
|
| 237 |
+
"grid": [
|
| 238 |
+
1,
|
| 239 |
+
7
|
| 240 |
+
]
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"shape": "S4",
|
| 244 |
+
"angle": 90,
|
| 245 |
+
"vertex": "V2",
|
| 246 |
+
"grid": [
|
| 247 |
+
0,
|
| 248 |
+
3
|
| 249 |
+
]
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"shape": "S6",
|
| 253 |
+
"angle": 90,
|
| 254 |
+
"vertex": "V2",
|
| 255 |
+
"grid": [
|
| 256 |
+
4,
|
| 257 |
+
6
|
| 258 |
+
]
|
| 259 |
+
}
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
"legacy_answer": "S1 0 V4 [2,6]\nS2 180 V2 [1,7]\nS4 90 V2 [0,3]\nS6 90 V2 [4,6]",
|
| 263 |
+
"solutionText": "S1 0 V4 [2,6]\nS2 180 V2 [1,7]\nS4 90 V2 [0,3]\nS6 90 V2 [4,6]",
|
| 264 |
+
"prompt": {
|
| 265 |
+
"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 |
+
}
|
voi/data/voi-461.json
ADDED
|
@@ -0,0 +1,288 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
1,
|
| 15 |
+
2
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
2
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
2,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
2,
|
| 33 |
+
2
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
2
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
3,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
3,
|
| 51 |
+
2
|
| 52 |
+
],
|
| 53 |
+
"V4": [
|
| 54 |
+
0,
|
| 55 |
+
2
|
| 56 |
+
]
|
| 57 |
+
},
|
| 58 |
+
"S4": {
|
| 59 |
+
"V1": [
|
| 60 |
+
0,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V2": [
|
| 64 |
+
2,
|
| 65 |
+
0
|
| 66 |
+
],
|
| 67 |
+
"V3": [
|
| 68 |
+
2,
|
| 69 |
+
1
|
| 70 |
+
],
|
| 71 |
+
"V4": [
|
| 72 |
+
0,
|
| 73 |
+
1
|
| 74 |
+
]
|
| 75 |
+
},
|
| 76 |
+
"S5": {
|
| 77 |
+
"V1": [
|
| 78 |
+
0,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V2": [
|
| 82 |
+
3,
|
| 83 |
+
0
|
| 84 |
+
],
|
| 85 |
+
"V3": [
|
| 86 |
+
3,
|
| 87 |
+
2
|
| 88 |
+
],
|
| 89 |
+
"V4": [
|
| 90 |
+
0,
|
| 91 |
+
2
|
| 92 |
+
]
|
| 93 |
+
},
|
| 94 |
+
"S6": {
|
| 95 |
+
"V1": [
|
| 96 |
+
0,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V2": [
|
| 100 |
+
2,
|
| 101 |
+
0
|
| 102 |
+
],
|
| 103 |
+
"V3": [
|
| 104 |
+
2,
|
| 105 |
+
2
|
| 106 |
+
],
|
| 107 |
+
"V4": [
|
| 108 |
+
0,
|
| 109 |
+
2
|
| 110 |
+
]
|
| 111 |
+
},
|
| 112 |
+
"S7": {
|
| 113 |
+
"V1": [
|
| 114 |
+
0,
|
| 115 |
+
0
|
| 116 |
+
],
|
| 117 |
+
"V2": [
|
| 118 |
+
3,
|
| 119 |
+
0
|
| 120 |
+
],
|
| 121 |
+
"V3": [
|
| 122 |
+
3,
|
| 123 |
+
2
|
| 124 |
+
],
|
| 125 |
+
"V4": [
|
| 126 |
+
0,
|
| 127 |
+
2
|
| 128 |
+
]
|
| 129 |
+
}
|
| 130 |
+
},
|
| 131 |
+
"target": [
|
| 132 |
+
{
|
| 133 |
+
"polygon": [
|
| 134 |
+
[
|
| 135 |
+
5,
|
| 136 |
+
6
|
| 137 |
+
],
|
| 138 |
+
[
|
| 139 |
+
6,
|
| 140 |
+
6
|
| 141 |
+
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|
| 142 |
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[
|
| 143 |
+
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|
| 144 |
+
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|
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+
],
|
| 146 |
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[
|
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+
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|
| 148 |
+
8
|
| 149 |
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]
|
| 150 |
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]
|
| 151 |
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},
|
| 152 |
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{
|
| 153 |
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"polygon": [
|
| 154 |
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[
|
| 155 |
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5,
|
| 156 |
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4
|
| 157 |
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|
| 158 |
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[
|
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|
| 160 |
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7
|
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],
|
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[
|
| 163 |
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3,
|
| 164 |
+
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|
| 165 |
+
],
|
| 166 |
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[
|
| 167 |
+
3,
|
| 168 |
+
4
|
| 169 |
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]
|
| 170 |
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]
|
| 171 |
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},
|
| 172 |
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{
|
| 173 |
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"polygon": [
|
| 174 |
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[
|
| 175 |
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7,
|
| 176 |
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3
|
| 177 |
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],
|
| 178 |
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[
|
| 179 |
+
7,
|
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5
|
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+
],
|
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+
[
|
| 183 |
+
5,
|
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+
5
|
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+
],
|
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[
|
| 187 |
+
5,
|
| 188 |
+
3
|
| 189 |
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]
|
| 190 |
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]
|
| 191 |
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},
|
| 192 |
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{
|
| 193 |
+
"polygon": [
|
| 194 |
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[
|
| 195 |
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4,
|
| 196 |
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9
|
| 197 |
+
],
|
| 198 |
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[
|
| 199 |
+
4,
|
| 200 |
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6
|
| 201 |
+
],
|
| 202 |
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[
|
| 203 |
+
6,
|
| 204 |
+
6
|
| 205 |
+
],
|
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[
|
| 207 |
+
6,
|
| 208 |
+
9
|
| 209 |
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]
|
| 210 |
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]
|
| 211 |
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}
|
| 212 |
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],
|
| 213 |
+
"meta": {
|
| 214 |
+
"seed": 4207012,
|
| 215 |
+
"requiredShapeCount": 4,
|
| 216 |
+
"distractorShapeCount": 3,
|
| 217 |
+
"shapePoolComplexity": "medium",
|
| 218 |
+
"overlapAllowed": true,
|
| 219 |
+
"overlapRatio": 0.333333,
|
| 220 |
+
"contourComplexity": 16,
|
| 221 |
+
"connectedComponents": 2,
|
| 222 |
+
"fillRatio": 0.12,
|
| 223 |
+
"difficultyScore": 0.616667,
|
| 224 |
+
"rasterScale": 16,
|
| 225 |
+
"targetPackaging": "solution_xor_components",
|
| 226 |
+
"catalogIndex": 462,
|
| 227 |
+
"strictValidation": true
|
| 228 |
+
},
|
| 229 |
+
"imageAssets": {
|
| 230 |
+
"target": "../images/voi-461/target.png",
|
| 231 |
+
"shapes": {
|
| 232 |
+
"S1": "../images/voi-461/shape_S1.png",
|
| 233 |
+
"S2": "../images/voi-461/shape_S2.png",
|
| 234 |
+
"S3": "../images/voi-461/shape_S3.png",
|
| 235 |
+
"S4": "../images/voi-461/shape_S4.png",
|
| 236 |
+
"S5": "../images/voi-461/shape_S5.png",
|
| 237 |
+
"S6": "../images/voi-461/shape_S6.png",
|
| 238 |
+
"S7": "../images/voi-461/shape_S7.png"
|
| 239 |
+
}
|
| 240 |
+
},
|
| 241 |
+
"ID": "voi-461",
|
| 242 |
+
"answer": {
|
| 243 |
+
"placements": [
|
| 244 |
+
{
|
| 245 |
+
"shape": "S1",
|
| 246 |
+
"angle": 0,
|
| 247 |
+
"vertex": "V4",
|
| 248 |
+
"grid": [
|
| 249 |
+
5,
|
| 250 |
+
8
|
| 251 |
+
]
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"shape": "S5",
|
| 255 |
+
"angle": 270,
|
| 256 |
+
"vertex": "V4",
|
| 257 |
+
"grid": [
|
| 258 |
+
3,
|
| 259 |
+
4
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"shape": "S6",
|
| 264 |
+
"angle": 270,
|
| 265 |
+
"vertex": "V2",
|
| 266 |
+
"grid": [
|
| 267 |
+
7,
|
| 268 |
+
5
|
| 269 |
+
]
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"shape": "S7",
|
| 273 |
+
"angle": 90,
|
| 274 |
+
"vertex": "V3",
|
| 275 |
+
"grid": [
|
| 276 |
+
6,
|
| 277 |
+
6
|
| 278 |
+
]
|
| 279 |
+
}
|
| 280 |
+
]
|
| 281 |
+
},
|
| 282 |
+
"legacy_answer": "S1 0 V4 [5,8]\nS5 270 V4 [3,4]\nS6 270 V2 [7,5]\nS7 90 V3 [6,6]",
|
| 283 |
+
"solutionText": "S1 0 V4 [5,8]\nS5 270 V4 [3,4]\nS6 270 V2 [7,5]\nS7 90 V3 [6,6]",
|
| 284 |
+
"prompt": {
|
| 285 |
+
"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 |
+
}
|
voi/data/voi-462.json
ADDED
|
@@ -0,0 +1,276 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
3,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
3,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
1
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
3,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
3,
|
| 33 |
+
1
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
1
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
3,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
3,
|
| 51 |
+
2
|
| 52 |
+
],
|
| 53 |
+
"V4": [
|
| 54 |
+
0,
|
| 55 |
+
2
|
| 56 |
+
]
|
| 57 |
+
},
|
| 58 |
+
"S4": {
|
| 59 |
+
"V1": [
|
| 60 |
+
0,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V2": [
|
| 64 |
+
2,
|
| 65 |
+
0
|
| 66 |
+
],
|
| 67 |
+
"V3": [
|
| 68 |
+
0,
|
| 69 |
+
2
|
| 70 |
+
]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
+
"V1": [
|
| 74 |
+
0,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V2": [
|
| 78 |
+
1,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V3": [
|
| 82 |
+
0,
|
| 83 |
+
1
|
| 84 |
+
]
|
| 85 |
+
},
|
| 86 |
+
"S6": {
|
| 87 |
+
"V1": [
|
| 88 |
+
0,
|
| 89 |
+
0
|
| 90 |
+
],
|
| 91 |
+
"V2": [
|
| 92 |
+
3,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V3": [
|
| 96 |
+
3,
|
| 97 |
+
1
|
| 98 |
+
],
|
| 99 |
+
"V4": [
|
| 100 |
+
0,
|
| 101 |
+
1
|
| 102 |
+
]
|
| 103 |
+
},
|
| 104 |
+
"S7": {
|
| 105 |
+
"V1": [
|
| 106 |
+
0,
|
| 107 |
+
0
|
| 108 |
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],
|
| 109 |
+
"V2": [
|
| 110 |
+
2,
|
| 111 |
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0
|
| 112 |
+
],
|
| 113 |
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"V3": [
|
| 114 |
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2,
|
| 115 |
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2
|
| 116 |
+
],
|
| 117 |
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"V4": [
|
| 118 |
+
0,
|
| 119 |
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2
|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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"target": [
|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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[
|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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[
|
| 135 |
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|
| 136 |
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6
|
| 137 |
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|
| 138 |
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[
|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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|
| 143 |
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|
| 144 |
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{
|
| 145 |
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"polygon": [
|
| 146 |
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[
|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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[
|
| 151 |
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|
| 152 |
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7
|
| 153 |
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|
| 154 |
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[
|
| 155 |
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|
| 156 |
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5
|
| 157 |
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|
| 158 |
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|
| 159 |
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|
| 160 |
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{
|
| 161 |
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"polygon": [
|
| 162 |
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[
|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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[
|
| 167 |
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10,
|
| 168 |
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9
|
| 169 |
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|
| 170 |
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[
|
| 171 |
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|
| 172 |
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9
|
| 173 |
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|
| 174 |
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[
|
| 175 |
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|
| 176 |
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6
|
| 177 |
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|
| 178 |
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|
| 179 |
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},
|
| 180 |
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{
|
| 181 |
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"polygon": [
|
| 182 |
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[
|
| 183 |
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|
| 184 |
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6
|
| 185 |
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|
| 186 |
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[
|
| 187 |
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|
| 188 |
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6
|
| 189 |
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],
|
| 190 |
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[
|
| 191 |
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9,
|
| 192 |
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8
|
| 193 |
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],
|
| 194 |
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[
|
| 195 |
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7,
|
| 196 |
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8
|
| 197 |
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]
|
| 198 |
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|
| 199 |
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}
|
| 200 |
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],
|
| 201 |
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"meta": {
|
| 202 |
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"seed": 4207013,
|
| 203 |
+
"requiredShapeCount": 4,
|
| 204 |
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"distractorShapeCount": 3,
|
| 205 |
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"shapePoolComplexity": "medium",
|
| 206 |
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"overlapAllowed": true,
|
| 207 |
+
"overlapRatio": 0.273859,
|
| 208 |
+
"contourComplexity": 74,
|
| 209 |
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"connectedComponents": 2,
|
| 210 |
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"fillRatio": 0.109375,
|
| 211 |
+
"difficultyScore": 0.875814,
|
| 212 |
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"rasterScale": 16,
|
| 213 |
+
"targetPackaging": "solution_xor_components",
|
| 214 |
+
"catalogIndex": 463,
|
| 215 |
+
"strictValidation": true
|
| 216 |
+
},
|
| 217 |
+
"imageAssets": {
|
| 218 |
+
"target": "../images/voi-462/target.png",
|
| 219 |
+
"shapes": {
|
| 220 |
+
"S1": "../images/voi-462/shape_S1.png",
|
| 221 |
+
"S2": "../images/voi-462/shape_S2.png",
|
| 222 |
+
"S3": "../images/voi-462/shape_S3.png",
|
| 223 |
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"S4": "../images/voi-462/shape_S4.png",
|
| 224 |
+
"S5": "../images/voi-462/shape_S5.png",
|
| 225 |
+
"S6": "../images/voi-462/shape_S6.png",
|
| 226 |
+
"S7": "../images/voi-462/shape_S7.png"
|
| 227 |
+
}
|
| 228 |
+
},
|
| 229 |
+
"ID": "voi-462",
|
| 230 |
+
"answer": {
|
| 231 |
+
"placements": [
|
| 232 |
+
{
|
| 233 |
+
"shape": "S3",
|
| 234 |
+
"angle": 270,
|
| 235 |
+
"vertex": "V2",
|
| 236 |
+
"grid": [
|
| 237 |
+
9,
|
| 238 |
+
6
|
| 239 |
+
]
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"shape": "S4",
|
| 243 |
+
"angle": 270,
|
| 244 |
+
"vertex": "V1",
|
| 245 |
+
"grid": [
|
| 246 |
+
9,
|
| 247 |
+
5
|
| 248 |
+
]
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"shape": "S6",
|
| 252 |
+
"angle": 270,
|
| 253 |
+
"vertex": "V1",
|
| 254 |
+
"grid": [
|
| 255 |
+
10,
|
| 256 |
+
6
|
| 257 |
+
]
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"shape": "S7",
|
| 261 |
+
"angle": 0,
|
| 262 |
+
"vertex": "V1",
|
| 263 |
+
"grid": [
|
| 264 |
+
7,
|
| 265 |
+
6
|
| 266 |
+
]
|
| 267 |
+
}
|
| 268 |
+
]
|
| 269 |
+
},
|
| 270 |
+
"legacy_answer": "S3 270 V2 [9,6]\nS4 270 V1 [9,5]\nS6 270 V1 [10,6]\nS7 0 V1 [7,6]",
|
| 271 |
+
"solutionText": "S3 270 V2 [9,6]\nS4 270 V1 [9,5]\nS6 270 V1 [10,6]\nS7 0 V1 [7,6]",
|
| 272 |
+
"prompt": {
|
| 273 |
+
"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
|
@@ -0,0 +1,280 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
1,
|
| 15 |
+
2
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
2
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
3,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
3,
|
| 33 |
+
2
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
2
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
2,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
0,
|
| 51 |
+
2
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
+
0,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V2": [
|
| 60 |
+
1,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
1,
|
| 65 |
+
3
|
| 66 |
+
],
|
| 67 |
+
"V4": [
|
| 68 |
+
0,
|
| 69 |
+
3
|
| 70 |
+
]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
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"V1": [
|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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0
|
| 80 |
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|
| 81 |
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"V3": [
|
| 82 |
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0,
|
| 83 |
+
2
|
| 84 |
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|
| 85 |
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|
| 86 |
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"S6": {
|
| 87 |
+
"V1": [
|
| 88 |
+
0,
|
| 89 |
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0
|
| 90 |
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|
| 91 |
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"V2": [
|
| 92 |
+
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|
| 93 |
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|
| 94 |
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|
| 95 |
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"V3": [
|
| 96 |
+
2,
|
| 97 |
+
1
|
| 98 |
+
],
|
| 99 |
+
"V4": [
|
| 100 |
+
0,
|
| 101 |
+
1
|
| 102 |
+
]
|
| 103 |
+
},
|
| 104 |
+
"S7": {
|
| 105 |
+
"V1": [
|
| 106 |
+
0,
|
| 107 |
+
0
|
| 108 |
+
],
|
| 109 |
+
"V2": [
|
| 110 |
+
3,
|
| 111 |
+
0
|
| 112 |
+
],
|
| 113 |
+
"V3": [
|
| 114 |
+
3,
|
| 115 |
+
2
|
| 116 |
+
],
|
| 117 |
+
"V4": [
|
| 118 |
+
0,
|
| 119 |
+
2
|
| 120 |
+
]
|
| 121 |
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}
|
| 122 |
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},
|
| 123 |
+
"target": [
|
| 124 |
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{
|
| 125 |
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"polygon": [
|
| 126 |
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[
|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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[
|
| 131 |
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6,
|
| 132 |
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4
|
| 133 |
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|
| 134 |
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[
|
| 135 |
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4,
|
| 136 |
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4
|
| 137 |
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|
| 138 |
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[
|
| 139 |
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4,
|
| 140 |
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3
|
| 141 |
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]
|
| 142 |
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|
| 143 |
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|
| 144 |
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{
|
| 145 |
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"polygon": [
|
| 146 |
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[
|
| 147 |
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3,
|
| 148 |
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|
| 149 |
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|
| 150 |
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[
|
| 151 |
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3,
|
| 152 |
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1
|
| 153 |
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],
|
| 154 |
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[
|
| 155 |
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5,
|
| 156 |
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1
|
| 157 |
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],
|
| 158 |
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[
|
| 159 |
+
5,
|
| 160 |
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4
|
| 161 |
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]
|
| 162 |
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]
|
| 163 |
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},
|
| 164 |
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{
|
| 165 |
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"polygon": [
|
| 166 |
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[
|
| 167 |
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|
| 168 |
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4
|
| 169 |
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|
| 170 |
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[
|
| 171 |
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9,
|
| 172 |
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5
|
| 173 |
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],
|
| 174 |
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[
|
| 175 |
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6,
|
| 176 |
+
5
|
| 177 |
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],
|
| 178 |
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[
|
| 179 |
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6,
|
| 180 |
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4
|
| 181 |
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]
|
| 182 |
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]
|
| 183 |
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},
|
| 184 |
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{
|
| 185 |
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"polygon": [
|
| 186 |
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[
|
| 187 |
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4,
|
| 188 |
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6
|
| 189 |
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],
|
| 190 |
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[
|
| 191 |
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4,
|
| 192 |
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3
|
| 193 |
+
],
|
| 194 |
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[
|
| 195 |
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6,
|
| 196 |
+
3
|
| 197 |
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],
|
| 198 |
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[
|
| 199 |
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6,
|
| 200 |
+
6
|
| 201 |
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]
|
| 202 |
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]
|
| 203 |
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}
|
| 204 |
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],
|
| 205 |
+
"meta": {
|
| 206 |
+
"seed": 4207014,
|
| 207 |
+
"requiredShapeCount": 4,
|
| 208 |
+
"distractorShapeCount": 3,
|
| 209 |
+
"shapePoolComplexity": "medium",
|
| 210 |
+
"overlapAllowed": true,
|
| 211 |
+
"overlapRatio": 0.235294,
|
| 212 |
+
"contourComplexity": 10,
|
| 213 |
+
"connectedComponents": 1,
|
| 214 |
+
"fillRatio": 0.13,
|
| 215 |
+
"difficultyScore": 0.738824,
|
| 216 |
+
"rasterScale": 16,
|
| 217 |
+
"targetPackaging": "solution_xor_components",
|
| 218 |
+
"catalogIndex": 464,
|
| 219 |
+
"strictValidation": true
|
| 220 |
+
},
|
| 221 |
+
"imageAssets": {
|
| 222 |
+
"target": "../images/voi-463/target.png",
|
| 223 |
+
"shapes": {
|
| 224 |
+
"S1": "../images/voi-463/shape_S1.png",
|
| 225 |
+
"S2": "../images/voi-463/shape_S2.png",
|
| 226 |
+
"S3": "../images/voi-463/shape_S3.png",
|
| 227 |
+
"S4": "../images/voi-463/shape_S4.png",
|
| 228 |
+
"S5": "../images/voi-463/shape_S5.png",
|
| 229 |
+
"S6": "../images/voi-463/shape_S6.png",
|
| 230 |
+
"S7": "../images/voi-463/shape_S7.png"
|
| 231 |
+
}
|
| 232 |
+
},
|
| 233 |
+
"ID": "voi-463",
|
| 234 |
+
"answer": {
|
| 235 |
+
"placements": [
|
| 236 |
+
{
|
| 237 |
+
"shape": "S1",
|
| 238 |
+
"angle": 270,
|
| 239 |
+
"vertex": "V2",
|
| 240 |
+
"grid": [
|
| 241 |
+
6,
|
| 242 |
+
4
|
| 243 |
+
]
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"shape": "S2",
|
| 247 |
+
"angle": 90,
|
| 248 |
+
"vertex": "V1",
|
| 249 |
+
"grid": [
|
| 250 |
+
3,
|
| 251 |
+
4
|
| 252 |
+
]
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"shape": "S4",
|
| 256 |
+
"angle": 270,
|
| 257 |
+
"vertex": "V3",
|
| 258 |
+
"grid": [
|
| 259 |
+
6,
|
| 260 |
+
5
|
| 261 |
+
]
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"shape": "S7",
|
| 265 |
+
"angle": 90,
|
| 266 |
+
"vertex": "V1",
|
| 267 |
+
"grid": [
|
| 268 |
+
4,
|
| 269 |
+
6
|
| 270 |
+
]
|
| 271 |
+
}
|
| 272 |
+
]
|
| 273 |
+
},
|
| 274 |
+
"legacy_answer": "S1 270 V2 [6,4]\nS2 90 V1 [3,4]\nS4 270 V3 [6,5]\nS7 90 V1 [4,6]",
|
| 275 |
+
"solutionText": "S1 270 V2 [6,4]\nS2 90 V1 [3,4]\nS4 270 V3 [6,5]\nS7 90 V1 [4,6]",
|
| 276 |
+
"prompt": {
|
| 277 |
+
"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-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."
|
| 279 |
+
}
|
| 280 |
+
}
|
voi/data/voi-464.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
1,
|
| 19 |
+
1
|
| 20 |
+
],
|
| 21 |
+
"V5": [
|
| 22 |
+
1,
|
| 23 |
+
3
|
| 24 |
+
],
|
| 25 |
+
"V6": [
|
| 26 |
+
0,
|
| 27 |
+
3
|
| 28 |
+
]
|
| 29 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
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| 36 |
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|
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| 42 |
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| 44 |
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| 49 |
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| 60 |
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|
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| 64 |
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|
| 67 |
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|
| 68 |
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|
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|
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| 94 |
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| 110 |
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|
| 117 |
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|
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| 122 |
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| 123 |
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|
| 124 |
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| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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}
|
| 134 |
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},
|
| 135 |
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"target": [
|
| 136 |
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{
|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 141 |
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| 142 |
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|
| 143 |
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|
| 144 |
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|
| 145 |
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| 146 |
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|
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|
| 149 |
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| 150 |
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|
| 151 |
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| 153 |
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|
| 155 |
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|
| 157 |
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| 158 |
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| 159 |
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|
| 161 |
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| 162 |
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| 163 |
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| 164 |
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| 165 |
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| 166 |
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| 170 |
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|
| 173 |
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|
| 174 |
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|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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[
|
| 179 |
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|
| 180 |
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|
| 181 |
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|
| 182 |
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| 183 |
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| 184 |
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|
| 185 |
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|
| 186 |
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|
| 187 |
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|
| 189 |
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| 190 |
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[
|
| 191 |
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|
| 192 |
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|
| 193 |
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| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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[
|
| 199 |
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|
| 200 |
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|
| 201 |
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| 202 |
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|
| 203 |
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|
| 204 |
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{
|
| 205 |
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"polygon": [
|
| 206 |
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| 207 |
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|
| 209 |
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|
| 210 |
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[
|
| 211 |
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|
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1
|
| 213 |
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],
|
| 214 |
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[
|
| 215 |
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9,
|
| 216 |
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2
|
| 217 |
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],
|
| 218 |
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[
|
| 219 |
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7,
|
| 220 |
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2
|
| 221 |
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|
| 222 |
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]
|
| 223 |
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}
|
| 224 |
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],
|
| 225 |
+
"meta": {
|
| 226 |
+
"seed": 4207015,
|
| 227 |
+
"requiredShapeCount": 4,
|
| 228 |
+
"distractorShapeCount": 3,
|
| 229 |
+
"shapePoolComplexity": "medium",
|
| 230 |
+
"overlapAllowed": true,
|
| 231 |
+
"overlapRatio": 0.266667,
|
| 232 |
+
"contourComplexity": 12,
|
| 233 |
+
"connectedComponents": 2,
|
| 234 |
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"fillRatio": 0.11,
|
| 235 |
+
"difficultyScore": 0.903333,
|
| 236 |
+
"rasterScale": 16,
|
| 237 |
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"targetPackaging": "solution_xor_components",
|
| 238 |
+
"catalogIndex": 465,
|
| 239 |
+
"strictValidation": true
|
| 240 |
+
},
|
| 241 |
+
"imageAssets": {
|
| 242 |
+
"target": "../images/voi-464/target.png",
|
| 243 |
+
"shapes": {
|
| 244 |
+
"S1": "../images/voi-464/shape_S1.png",
|
| 245 |
+
"S2": "../images/voi-464/shape_S2.png",
|
| 246 |
+
"S3": "../images/voi-464/shape_S3.png",
|
| 247 |
+
"S4": "../images/voi-464/shape_S4.png",
|
| 248 |
+
"S5": "../images/voi-464/shape_S5.png",
|
| 249 |
+
"S6": "../images/voi-464/shape_S6.png",
|
| 250 |
+
"S7": "../images/voi-464/shape_S7.png"
|
| 251 |
+
}
|
| 252 |
+
},
|
| 253 |
+
"ID": "voi-464",
|
| 254 |
+
"answer": {
|
| 255 |
+
"placements": [
|
| 256 |
+
{
|
| 257 |
+
"shape": "S1",
|
| 258 |
+
"angle": 0,
|
| 259 |
+
"vertex": "V2",
|
| 260 |
+
"grid": [
|
| 261 |
+
7,
|
| 262 |
+
3
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"shape": "S2",
|
| 267 |
+
"angle": 270,
|
| 268 |
+
"vertex": "V3",
|
| 269 |
+
"grid": [
|
| 270 |
+
6,
|
| 271 |
+
7
|
| 272 |
+
]
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"shape": "S3",
|
| 276 |
+
"angle": 0,
|
| 277 |
+
"vertex": "V1",
|
| 278 |
+
"grid": [
|
| 279 |
+
7,
|
| 280 |
+
1
|
| 281 |
+
]
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"shape": "S5",
|
| 285 |
+
"angle": 0,
|
| 286 |
+
"vertex": "V3",
|
| 287 |
+
"grid": [
|
| 288 |
+
9,
|
| 289 |
+
2
|
| 290 |
+
]
|
| 291 |
+
}
|
| 292 |
+
]
|
| 293 |
+
},
|
| 294 |
+
"legacy_answer": "S1 0 V2 [7,3]\nS2 270 V3 [6,7]\nS3 0 V1 [7,1]\nS5 0 V3 [9,2]",
|
| 295 |
+
"solutionText": "S1 0 V2 [7,3]\nS2 270 V3 [6,7]\nS3 0 V1 [7,1]\nS5 0 V3 [9,2]",
|
| 296 |
+
"prompt": {
|
| 297 |
+
"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-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 |
+
}
|
voi/data/voi-465.json
ADDED
|
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|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
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|
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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| 17 |
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| 18 |
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|
| 19 |
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|
| 20 |
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|
| 21 |
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| 23 |
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|
| 24 |
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| 25 |
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| 26 |
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| 27 |
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|
| 28 |
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|
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|
| 30 |
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| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 37 |
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|
| 39 |
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| 44 |
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|
| 50 |
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|
| 55 |
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|
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|
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|
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|
| 72 |
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| 74 |
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|
| 76 |
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|
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| 82 |
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|
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|
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| 93 |
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| 95 |
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|
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| 111 |
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| 112 |
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| 116 |
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| 117 |
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| 121 |
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|
| 122 |
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|
| 123 |
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| 124 |
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| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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0,
|
| 135 |
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2
|
| 136 |
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|
| 137 |
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|
| 138 |
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},
|
| 139 |
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"target": [
|
| 140 |
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{
|
| 141 |
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"polygon": [
|
| 142 |
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[
|
| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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[
|
| 147 |
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4,
|
| 148 |
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|
| 149 |
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|
| 150 |
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[
|
| 151 |
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2,
|
| 152 |
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|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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{
|
| 157 |
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"polygon": [
|
| 158 |
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[
|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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[
|
| 163 |
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|
| 164 |
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|
| 165 |
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|
| 166 |
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[
|
| 167 |
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|
| 168 |
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|
| 169 |
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|
| 170 |
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[
|
| 171 |
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|
| 172 |
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|
| 173 |
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| 174 |
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| 175 |
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| 176 |
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|
| 177 |
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|
| 178 |
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|
| 179 |
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|
| 181 |
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| 182 |
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[
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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[
|
| 187 |
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|
| 188 |
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6
|
| 189 |
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|
| 190 |
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[
|
| 191 |
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2,
|
| 192 |
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|
| 193 |
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|
| 194 |
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[
|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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[
|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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|
| 207 |
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|
| 208 |
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|
| 209 |
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| 210 |
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[
|
| 211 |
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1,
|
| 212 |
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3
|
| 213 |
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|
| 214 |
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[
|
| 215 |
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2,
|
| 216 |
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3
|
| 217 |
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],
|
| 218 |
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[
|
| 219 |
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2,
|
| 220 |
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4
|
| 221 |
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],
|
| 222 |
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[
|
| 223 |
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4,
|
| 224 |
+
4
|
| 225 |
+
],
|
| 226 |
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[
|
| 227 |
+
4,
|
| 228 |
+
5
|
| 229 |
+
]
|
| 230 |
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]
|
| 231 |
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}
|
| 232 |
+
],
|
| 233 |
+
"meta": {
|
| 234 |
+
"seed": 4207016,
|
| 235 |
+
"requiredShapeCount": 4,
|
| 236 |
+
"distractorShapeCount": 3,
|
| 237 |
+
"shapePoolComplexity": "medium",
|
| 238 |
+
"overlapAllowed": true,
|
| 239 |
+
"overlapRatio": 0.284444,
|
| 240 |
+
"contourComplexity": 80,
|
| 241 |
+
"connectedComponents": 2,
|
| 242 |
+
"fillRatio": 0.100625,
|
| 243 |
+
"difficultyScore": 0.850972,
|
| 244 |
+
"rasterScale": 16,
|
| 245 |
+
"targetPackaging": "solution_xor_components",
|
| 246 |
+
"catalogIndex": 466,
|
| 247 |
+
"strictValidation": true
|
| 248 |
+
},
|
| 249 |
+
"imageAssets": {
|
| 250 |
+
"target": "../images/voi-465/target.png",
|
| 251 |
+
"shapes": {
|
| 252 |
+
"S1": "../images/voi-465/shape_S1.png",
|
| 253 |
+
"S2": "../images/voi-465/shape_S2.png",
|
| 254 |
+
"S3": "../images/voi-465/shape_S3.png",
|
| 255 |
+
"S4": "../images/voi-465/shape_S4.png",
|
| 256 |
+
"S5": "../images/voi-465/shape_S5.png",
|
| 257 |
+
"S6": "../images/voi-465/shape_S6.png",
|
| 258 |
+
"S7": "../images/voi-465/shape_S7.png"
|
| 259 |
+
}
|
| 260 |
+
},
|
| 261 |
+
"ID": "voi-465",
|
| 262 |
+
"answer": {
|
| 263 |
+
"placements": [
|
| 264 |
+
{
|
| 265 |
+
"shape": "S1",
|
| 266 |
+
"angle": 270,
|
| 267 |
+
"vertex": "V3",
|
| 268 |
+
"grid": [
|
| 269 |
+
2,
|
| 270 |
+
4
|
| 271 |
+
]
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"shape": "S3",
|
| 275 |
+
"angle": 270,
|
| 276 |
+
"vertex": "V4",
|
| 277 |
+
"grid": [
|
| 278 |
+
8,
|
| 279 |
+
7
|
| 280 |
+
]
|
| 281 |
+
},
|
| 282 |
+
{
|
| 283 |
+
"shape": "S4",
|
| 284 |
+
"angle": 180,
|
| 285 |
+
"vertex": "V3",
|
| 286 |
+
"grid": [
|
| 287 |
+
1,
|
| 288 |
+
6
|
| 289 |
+
]
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"shape": "S6",
|
| 293 |
+
"angle": 90,
|
| 294 |
+
"vertex": "V3",
|
| 295 |
+
"grid": [
|
| 296 |
+
2,
|
| 297 |
+
3
|
| 298 |
+
]
|
| 299 |
+
}
|
| 300 |
+
]
|
| 301 |
+
},
|
| 302 |
+
"legacy_answer": "S1 270 V3 [2,4]\nS3 270 V4 [8,7]\nS4 180 V3 [1,6]\nS6 90 V3 [2,3]",
|
| 303 |
+
"solutionText": "S1 270 V3 [2,4]\nS3 270 V4 [8,7]\nS4 180 V3 [1,6]\nS6 90 V3 [2,3]",
|
| 304 |
+
"prompt": {
|
| 305 |
+
"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."
|
| 307 |
+
}
|
| 308 |
+
}
|
voi/data/voi-466.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
3,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
3,
|
| 15 |
+
2
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
2
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
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],
|
| 27 |
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"V2": [
|
| 28 |
+
3,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
2,
|
| 33 |
+
1
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
1
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
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],
|
| 45 |
+
"V2": [
|
| 46 |
+
2,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
0,
|
| 51 |
+
2
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
+
0,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V2": [
|
| 60 |
+
3,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
3,
|
| 65 |
+
2
|
| 66 |
+
],
|
| 67 |
+
"V4": [
|
| 68 |
+
0,
|
| 69 |
+
2
|
| 70 |
+
]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
+
"V1": [
|
| 74 |
+
0,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V2": [
|
| 78 |
+
3,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V3": [
|
| 82 |
+
3,
|
| 83 |
+
1
|
| 84 |
+
],
|
| 85 |
+
"V4": [
|
| 86 |
+
0,
|
| 87 |
+
1
|
| 88 |
+
]
|
| 89 |
+
},
|
| 90 |
+
"S6": {
|
| 91 |
+
"V1": [
|
| 92 |
+
0,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V2": [
|
| 96 |
+
2,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V3": [
|
| 100 |
+
0,
|
| 101 |
+
2
|
| 102 |
+
]
|
| 103 |
+
},
|
| 104 |
+
"S7": {
|
| 105 |
+
"V1": [
|
| 106 |
+
0,
|
| 107 |
+
0
|
| 108 |
+
],
|
| 109 |
+
"V2": [
|
| 110 |
+
2,
|
| 111 |
+
0
|
| 112 |
+
],
|
| 113 |
+
"V3": [
|
| 114 |
+
2,
|
| 115 |
+
2
|
| 116 |
+
],
|
| 117 |
+
"V4": [
|
| 118 |
+
0,
|
| 119 |
+
2
|
| 120 |
+
]
|
| 121 |
+
}
|
| 122 |
+
},
|
| 123 |
+
"target": [
|
| 124 |
+
{
|
| 125 |
+
"polygon": [
|
| 126 |
+
[
|
| 127 |
+
3,
|
| 128 |
+
7
|
| 129 |
+
],
|
| 130 |
+
[
|
| 131 |
+
3,
|
| 132 |
+
4
|
| 133 |
+
],
|
| 134 |
+
[
|
| 135 |
+
5,
|
| 136 |
+
4
|
| 137 |
+
],
|
| 138 |
+
[
|
| 139 |
+
5,
|
| 140 |
+
7
|
| 141 |
+
]
|
| 142 |
+
]
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"polygon": [
|
| 146 |
+
[
|
| 147 |
+
2,
|
| 148 |
+
2
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
4,
|
| 152 |
+
2
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
2,
|
| 156 |
+
4
|
| 157 |
+
]
|
| 158 |
+
]
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"polygon": [
|
| 162 |
+
[
|
| 163 |
+
5,
|
| 164 |
+
4
|
| 165 |
+
],
|
| 166 |
+
[
|
| 167 |
+
2,
|
| 168 |
+
4
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
2,
|
| 172 |
+
2
|
| 173 |
+
],
|
| 174 |
+
[
|
| 175 |
+
5,
|
| 176 |
+
2
|
| 177 |
+
]
|
| 178 |
+
]
|
| 179 |
+
},
|
| 180 |
+
{
|
| 181 |
+
"polygon": [
|
| 182 |
+
[
|
| 183 |
+
7,
|
| 184 |
+
3
|
| 185 |
+
],
|
| 186 |
+
[
|
| 187 |
+
7,
|
| 188 |
+
5
|
| 189 |
+
],
|
| 190 |
+
[
|
| 191 |
+
5,
|
| 192 |
+
5
|
| 193 |
+
],
|
| 194 |
+
[
|
| 195 |
+
5,
|
| 196 |
+
3
|
| 197 |
+
]
|
| 198 |
+
]
|
| 199 |
+
}
|
| 200 |
+
],
|
| 201 |
+
"meta": {
|
| 202 |
+
"seed": 4207017,
|
| 203 |
+
"requiredShapeCount": 4,
|
| 204 |
+
"distractorShapeCount": 3,
|
| 205 |
+
"shapePoolComplexity": "medium",
|
| 206 |
+
"overlapAllowed": true,
|
| 207 |
+
"overlapRatio": 0.228374,
|
| 208 |
+
"contourComplexity": 72,
|
| 209 |
+
"connectedComponents": 1,
|
| 210 |
+
"fillRatio": 0.139375,
|
| 211 |
+
"difficultyScore": 0.747755,
|
| 212 |
+
"rasterScale": 16,
|
| 213 |
+
"targetPackaging": "solution_xor_components",
|
| 214 |
+
"catalogIndex": 467,
|
| 215 |
+
"strictValidation": true
|
| 216 |
+
},
|
| 217 |
+
"imageAssets": {
|
| 218 |
+
"target": "../images/voi-466/target.png",
|
| 219 |
+
"shapes": {
|
| 220 |
+
"S1": "../images/voi-466/shape_S1.png",
|
| 221 |
+
"S2": "../images/voi-466/shape_S2.png",
|
| 222 |
+
"S3": "../images/voi-466/shape_S3.png",
|
| 223 |
+
"S4": "../images/voi-466/shape_S4.png",
|
| 224 |
+
"S5": "../images/voi-466/shape_S5.png",
|
| 225 |
+
"S6": "../images/voi-466/shape_S6.png",
|
| 226 |
+
"S7": "../images/voi-466/shape_S7.png"
|
| 227 |
+
}
|
| 228 |
+
},
|
| 229 |
+
"ID": "voi-466",
|
| 230 |
+
"answer": {
|
| 231 |
+
"placements": [
|
| 232 |
+
{
|
| 233 |
+
"shape": "S1",
|
| 234 |
+
"angle": 90,
|
| 235 |
+
"vertex": "V4",
|
| 236 |
+
"grid": [
|
| 237 |
+
5,
|
| 238 |
+
7
|
| 239 |
+
]
|
| 240 |
+
},
|
| 241 |
+
{
|
| 242 |
+
"shape": "S3",
|
| 243 |
+
"angle": 0,
|
| 244 |
+
"vertex": "V1",
|
| 245 |
+
"grid": [
|
| 246 |
+
2,
|
| 247 |
+
2
|
| 248 |
+
]
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"shape": "S4",
|
| 252 |
+
"angle": 180,
|
| 253 |
+
"vertex": "V4",
|
| 254 |
+
"grid": [
|
| 255 |
+
5,
|
| 256 |
+
2
|
| 257 |
+
]
|
| 258 |
+
},
|
| 259 |
+
{
|
| 260 |
+
"shape": "S7",
|
| 261 |
+
"angle": 270,
|
| 262 |
+
"vertex": "V4",
|
| 263 |
+
"grid": [
|
| 264 |
+
5,
|
| 265 |
+
3
|
| 266 |
+
]
|
| 267 |
+
}
|
| 268 |
+
]
|
| 269 |
+
},
|
| 270 |
+
"legacy_answer": "S1 90 V4 [5,7]\nS3 0 V1 [2,2]\nS4 180 V4 [5,2]\nS7 270 V4 [5,3]",
|
| 271 |
+
"solutionText": "S1 90 V4 [5,7]\nS3 0 V1 [2,2]\nS4 180 V4 [5,2]\nS7 270 V4 [5,3]",
|
| 272 |
+
"prompt": {
|
| 273 |
+
"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 |
+
}
|
voi/data/voi-467.json
ADDED
|
@@ -0,0 +1,300 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
0,
|
| 15 |
+
2
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
"S2": {
|
| 19 |
+
"V1": [
|
| 20 |
+
0,
|
| 21 |
+
0
|
| 22 |
+
],
|
| 23 |
+
"V2": [
|
| 24 |
+
2,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V3": [
|
| 28 |
+
2,
|
| 29 |
+
1
|
| 30 |
+
],
|
| 31 |
+
"V4": [
|
| 32 |
+
1,
|
| 33 |
+
1
|
| 34 |
+
],
|
| 35 |
+
"V5": [
|
| 36 |
+
1,
|
| 37 |
+
3
|
| 38 |
+
],
|
| 39 |
+
"V6": [
|
| 40 |
+
0,
|
| 41 |
+
3
|
| 42 |
+
]
|
| 43 |
+
},
|
| 44 |
+
"S3": {
|
| 45 |
+
"V1": [
|
| 46 |
+
0,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V2": [
|
| 50 |
+
1,
|
| 51 |
+
0
|
| 52 |
+
],
|
| 53 |
+
"V3": [
|
| 54 |
+
1,
|
| 55 |
+
3
|
| 56 |
+
],
|
| 57 |
+
"V4": [
|
| 58 |
+
0,
|
| 59 |
+
3
|
| 60 |
+
]
|
| 61 |
+
},
|
| 62 |
+
"S4": {
|
| 63 |
+
"V1": [
|
| 64 |
+
0,
|
| 65 |
+
0
|
| 66 |
+
],
|
| 67 |
+
"V2": [
|
| 68 |
+
3,
|
| 69 |
+
0
|
| 70 |
+
],
|
| 71 |
+
"V3": [
|
| 72 |
+
3,
|
| 73 |
+
2
|
| 74 |
+
],
|
| 75 |
+
"V4": [
|
| 76 |
+
0,
|
| 77 |
+
2
|
| 78 |
+
]
|
| 79 |
+
},
|
| 80 |
+
"S5": {
|
| 81 |
+
"V1": [
|
| 82 |
+
0,
|
| 83 |
+
0
|
| 84 |
+
],
|
| 85 |
+
"V2": [
|
| 86 |
+
2,
|
| 87 |
+
0
|
| 88 |
+
],
|
| 89 |
+
"V3": [
|
| 90 |
+
2,
|
| 91 |
+
1
|
| 92 |
+
],
|
| 93 |
+
"V4": [
|
| 94 |
+
0,
|
| 95 |
+
1
|
| 96 |
+
]
|
| 97 |
+
},
|
| 98 |
+
"S6": {
|
| 99 |
+
"V1": [
|
| 100 |
+
0,
|
| 101 |
+
0
|
| 102 |
+
],
|
| 103 |
+
"V2": [
|
| 104 |
+
3,
|
| 105 |
+
0
|
| 106 |
+
],
|
| 107 |
+
"V3": [
|
| 108 |
+
3,
|
| 109 |
+
2
|
| 110 |
+
],
|
| 111 |
+
"V4": [
|
| 112 |
+
0,
|
| 113 |
+
2
|
| 114 |
+
]
|
| 115 |
+
},
|
| 116 |
+
"S7": {
|
| 117 |
+
"V1": [
|
| 118 |
+
0,
|
| 119 |
+
0
|
| 120 |
+
],
|
| 121 |
+
"V2": [
|
| 122 |
+
3,
|
| 123 |
+
0
|
| 124 |
+
],
|
| 125 |
+
"V3": [
|
| 126 |
+
2,
|
| 127 |
+
1
|
| 128 |
+
],
|
| 129 |
+
"V4": [
|
| 130 |
+
0,
|
| 131 |
+
1
|
| 132 |
+
]
|
| 133 |
+
}
|
| 134 |
+
},
|
| 135 |
+
"target": [
|
| 136 |
+
{
|
| 137 |
+
"polygon": [
|
| 138 |
+
[
|
| 139 |
+
3,
|
| 140 |
+
3
|
| 141 |
+
],
|
| 142 |
+
[
|
| 143 |
+
5,
|
| 144 |
+
3
|
| 145 |
+
],
|
| 146 |
+
[
|
| 147 |
+
5,
|
| 148 |
+
4
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
4,
|
| 152 |
+
4
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
4,
|
| 156 |
+
6
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
3,
|
| 160 |
+
6
|
| 161 |
+
]
|
| 162 |
+
]
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"polygon": [
|
| 166 |
+
[
|
| 167 |
+
10,
|
| 168 |
+
5
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
10,
|
| 172 |
+
8
|
| 173 |
+
],
|
| 174 |
+
[
|
| 175 |
+
8,
|
| 176 |
+
8
|
| 177 |
+
],
|
| 178 |
+
[
|
| 179 |
+
8,
|
| 180 |
+
5
|
| 181 |
+
]
|
| 182 |
+
]
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"polygon": [
|
| 186 |
+
[
|
| 187 |
+
9,
|
| 188 |
+
8
|
| 189 |
+
],
|
| 190 |
+
[
|
| 191 |
+
9,
|
| 192 |
+
6
|
| 193 |
+
],
|
| 194 |
+
[
|
| 195 |
+
10,
|
| 196 |
+
6
|
| 197 |
+
],
|
| 198 |
+
[
|
| 199 |
+
10,
|
| 200 |
+
8
|
| 201 |
+
]
|
| 202 |
+
]
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"polygon": [
|
| 206 |
+
[
|
| 207 |
+
6,
|
| 208 |
+
9
|
| 209 |
+
],
|
| 210 |
+
[
|
| 211 |
+
6,
|
| 212 |
+
6
|
| 213 |
+
],
|
| 214 |
+
[
|
| 215 |
+
8,
|
| 216 |
+
6
|
| 217 |
+
],
|
| 218 |
+
[
|
| 219 |
+
8,
|
| 220 |
+
9
|
| 221 |
+
]
|
| 222 |
+
]
|
| 223 |
+
}
|
| 224 |
+
],
|
| 225 |
+
"meta": {
|
| 226 |
+
"seed": 4207018,
|
| 227 |
+
"requiredShapeCount": 4,
|
| 228 |
+
"distractorShapeCount": 3,
|
| 229 |
+
"shapePoolComplexity": "medium",
|
| 230 |
+
"overlapAllowed": true,
|
| 231 |
+
"overlapRatio": 0.222222,
|
| 232 |
+
"contourComplexity": 16,
|
| 233 |
+
"connectedComponents": 2,
|
| 234 |
+
"fillRatio": 0.14,
|
| 235 |
+
"difficultyScore": 1.021111,
|
| 236 |
+
"rasterScale": 16,
|
| 237 |
+
"targetPackaging": "solution_xor_components",
|
| 238 |
+
"catalogIndex": 468,
|
| 239 |
+
"strictValidation": true
|
| 240 |
+
},
|
| 241 |
+
"imageAssets": {
|
| 242 |
+
"target": "../images/voi-467/target.png",
|
| 243 |
+
"shapes": {
|
| 244 |
+
"S1": "../images/voi-467/shape_S1.png",
|
| 245 |
+
"S2": "../images/voi-467/shape_S2.png",
|
| 246 |
+
"S3": "../images/voi-467/shape_S3.png",
|
| 247 |
+
"S4": "../images/voi-467/shape_S4.png",
|
| 248 |
+
"S5": "../images/voi-467/shape_S5.png",
|
| 249 |
+
"S6": "../images/voi-467/shape_S6.png",
|
| 250 |
+
"S7": "../images/voi-467/shape_S7.png"
|
| 251 |
+
}
|
| 252 |
+
},
|
| 253 |
+
"ID": "voi-467",
|
| 254 |
+
"answer": {
|
| 255 |
+
"placements": [
|
| 256 |
+
{
|
| 257 |
+
"shape": "S2",
|
| 258 |
+
"angle": 0,
|
| 259 |
+
"vertex": "V2",
|
| 260 |
+
"grid": [
|
| 261 |
+
5,
|
| 262 |
+
3
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"shape": "S4",
|
| 267 |
+
"angle": 270,
|
| 268 |
+
"vertex": "V4",
|
| 269 |
+
"grid": [
|
| 270 |
+
8,
|
| 271 |
+
5
|
| 272 |
+
]
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"shape": "S5",
|
| 276 |
+
"angle": 90,
|
| 277 |
+
"vertex": "V3",
|
| 278 |
+
"grid": [
|
| 279 |
+
10,
|
| 280 |
+
6
|
| 281 |
+
]
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"shape": "S6",
|
| 285 |
+
"angle": 90,
|
| 286 |
+
"vertex": "V1",
|
| 287 |
+
"grid": [
|
| 288 |
+
6,
|
| 289 |
+
9
|
| 290 |
+
]
|
| 291 |
+
}
|
| 292 |
+
]
|
| 293 |
+
},
|
| 294 |
+
"legacy_answer": "S2 0 V2 [5,3]\nS4 270 V4 [8,5]\nS5 90 V3 [10,6]\nS6 90 V1 [6,9]",
|
| 295 |
+
"solutionText": "S2 0 V2 [5,3]\nS4 270 V4 [8,5]\nS5 90 V3 [10,6]\nS6 90 V1 [6,9]",
|
| 296 |
+
"prompt": {
|
| 297 |
+
"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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@@ -0,0 +1,288 @@
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| 1 |
+
{
|
| 2 |
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"gridSize": 10,
|
| 3 |
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"inventory": {
|
| 4 |
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"S1": {
|
| 5 |
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"V1": [
|
| 6 |
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|
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|
| 8 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
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|
| 20 |
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|
| 21 |
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|
| 23 |
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|
| 24 |
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|
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|
| 26 |
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| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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|
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|
| 44 |
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| 45 |
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|
| 46 |
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|
| 47 |
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|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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|
| 52 |
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|
| 53 |
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|
| 54 |
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|
| 55 |
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|
| 56 |
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|
| 57 |
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|
| 58 |
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|
| 59 |
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"V1": [
|
| 60 |
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|
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|
| 62 |
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|
| 63 |
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|
| 64 |
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|
| 65 |
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0
|
| 66 |
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],
|
| 67 |
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"V3": [
|
| 68 |
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3,
|
| 69 |
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1
|
| 70 |
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],
|
| 71 |
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"V4": [
|
| 72 |
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0,
|
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1
|
| 74 |
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|
| 75 |
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|
| 76 |
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"S5": {
|
| 77 |
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"V1": [
|
| 78 |
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0,
|
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|
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"V2": [
|
| 82 |
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2,
|
| 83 |
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0
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| 84 |
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],
|
| 85 |
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"V3": [
|
| 86 |
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2,
|
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1
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| 88 |
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],
|
| 89 |
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"V4": [
|
| 90 |
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|
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|
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|
| 93 |
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"S6": {
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"V2": [
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"V3": [
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|
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"S7": {
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"V1": [
|
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|
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"V2": [
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0
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],
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"V3": [
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| 122 |
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2,
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1
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],
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| 125 |
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"V4": [
|
| 126 |
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0,
|
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1
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]
|
| 129 |
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}
|
| 130 |
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},
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| 131 |
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"target": [
|
| 132 |
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{
|
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"polygon": [
|
| 134 |
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[
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],
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[
|
| 139 |
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|
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|
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],
|
| 142 |
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[
|
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|
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10
|
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|
| 146 |
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[
|
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5,
|
| 148 |
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|
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|
| 150 |
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|
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|
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{
|
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"polygon": [
|
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[
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[
|
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|
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|
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|
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[
|
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|
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|
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|
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[
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|
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|
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| 173 |
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"polygon": [
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[
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|
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|
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|
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|
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|
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|
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[
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|
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|
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{
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| 193 |
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"polygon": [
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 209 |
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|
| 210 |
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|
| 211 |
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}
|
| 212 |
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],
|
| 213 |
+
"meta": {
|
| 214 |
+
"seed": 4207019,
|
| 215 |
+
"requiredShapeCount": 4,
|
| 216 |
+
"distractorShapeCount": 3,
|
| 217 |
+
"shapePoolComplexity": "medium",
|
| 218 |
+
"overlapAllowed": true,
|
| 219 |
+
"overlapRatio": 0.275269,
|
| 220 |
+
"contourComplexity": 44,
|
| 221 |
+
"connectedComponents": 2,
|
| 222 |
+
"fillRatio": 0.105313,
|
| 223 |
+
"difficultyScore": 0.8783,
|
| 224 |
+
"rasterScale": 16,
|
| 225 |
+
"targetPackaging": "solution_xor_components",
|
| 226 |
+
"catalogIndex": 469,
|
| 227 |
+
"strictValidation": true
|
| 228 |
+
},
|
| 229 |
+
"imageAssets": {
|
| 230 |
+
"target": "../images/voi-468/target.png",
|
| 231 |
+
"shapes": {
|
| 232 |
+
"S1": "../images/voi-468/shape_S1.png",
|
| 233 |
+
"S2": "../images/voi-468/shape_S2.png",
|
| 234 |
+
"S3": "../images/voi-468/shape_S3.png",
|
| 235 |
+
"S4": "../images/voi-468/shape_S4.png",
|
| 236 |
+
"S5": "../images/voi-468/shape_S5.png",
|
| 237 |
+
"S6": "../images/voi-468/shape_S6.png",
|
| 238 |
+
"S7": "../images/voi-468/shape_S7.png"
|
| 239 |
+
}
|
| 240 |
+
},
|
| 241 |
+
"ID": "voi-468",
|
| 242 |
+
"answer": {
|
| 243 |
+
"placements": [
|
| 244 |
+
{
|
| 245 |
+
"shape": "S1",
|
| 246 |
+
"angle": 270,
|
| 247 |
+
"vertex": "V4",
|
| 248 |
+
"grid": [
|
| 249 |
+
5,
|
| 250 |
+
7
|
| 251 |
+
]
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"shape": "S2",
|
| 255 |
+
"angle": 90,
|
| 256 |
+
"vertex": "V1",
|
| 257 |
+
"grid": [
|
| 258 |
+
3,
|
| 259 |
+
9
|
| 260 |
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]
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"shape": "S3",
|
| 264 |
+
"angle": 90,
|
| 265 |
+
"vertex": "V4",
|
| 266 |
+
"grid": [
|
| 267 |
+
8,
|
| 268 |
+
9
|
| 269 |
+
]
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"shape": "S7",
|
| 273 |
+
"angle": 180,
|
| 274 |
+
"vertex": "V3",
|
| 275 |
+
"grid": [
|
| 276 |
+
4,
|
| 277 |
+
6
|
| 278 |
+
]
|
| 279 |
+
}
|
| 280 |
+
]
|
| 281 |
+
},
|
| 282 |
+
"legacy_answer": "S1 270 V4 [5,7]\nS2 90 V1 [3,9]\nS3 90 V4 [8,9]\nS7 180 V3 [4,6]",
|
| 283 |
+
"solutionText": "S1 270 V4 [5,7]\nS2 90 V1 [3,9]\nS3 90 V4 [8,9]\nS7 180 V3 [4,6]",
|
| 284 |
+
"prompt": {
|
| 285 |
+
"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."
|
| 287 |
+
}
|
| 288 |
+
}
|
voi/data/voi-469.json
ADDED
|
@@ -0,0 +1,288 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
0,
|
| 15 |
+
2
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
"S2": {
|
| 19 |
+
"V1": [
|
| 20 |
+
0,
|
| 21 |
+
0
|
| 22 |
+
],
|
| 23 |
+
"V2": [
|
| 24 |
+
2,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V3": [
|
| 28 |
+
2,
|
| 29 |
+
1
|
| 30 |
+
],
|
| 31 |
+
"V4": [
|
| 32 |
+
0,
|
| 33 |
+
1
|
| 34 |
+
]
|
| 35 |
+
},
|
| 36 |
+
"S3": {
|
| 37 |
+
"V1": [
|
| 38 |
+
0,
|
| 39 |
+
0
|
| 40 |
+
],
|
| 41 |
+
"V2": [
|
| 42 |
+
3,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V3": [
|
| 46 |
+
3,
|
| 47 |
+
2
|
| 48 |
+
],
|
| 49 |
+
"V4": [
|
| 50 |
+
0,
|
| 51 |
+
2
|
| 52 |
+
]
|
| 53 |
+
},
|
| 54 |
+
"S4": {
|
| 55 |
+
"V1": [
|
| 56 |
+
0,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V2": [
|
| 60 |
+
1,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V3": [
|
| 64 |
+
0,
|
| 65 |
+
1
|
| 66 |
+
]
|
| 67 |
+
},
|
| 68 |
+
"S5": {
|
| 69 |
+
"V1": [
|
| 70 |
+
0,
|
| 71 |
+
0
|
| 72 |
+
],
|
| 73 |
+
"V2": [
|
| 74 |
+
2,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V3": [
|
| 78 |
+
0,
|
| 79 |
+
2
|
| 80 |
+
]
|
| 81 |
+
},
|
| 82 |
+
"S6": {
|
| 83 |
+
"V1": [
|
| 84 |
+
0,
|
| 85 |
+
0
|
| 86 |
+
],
|
| 87 |
+
"V2": [
|
| 88 |
+
2,
|
| 89 |
+
0
|
| 90 |
+
],
|
| 91 |
+
"V3": [
|
| 92 |
+
2,
|
| 93 |
+
1
|
| 94 |
+
],
|
| 95 |
+
"V4": [
|
| 96 |
+
1,
|
| 97 |
+
1
|
| 98 |
+
],
|
| 99 |
+
"V5": [
|
| 100 |
+
1,
|
| 101 |
+
3
|
| 102 |
+
],
|
| 103 |
+
"V6": [
|
| 104 |
+
0,
|
| 105 |
+
3
|
| 106 |
+
]
|
| 107 |
+
},
|
| 108 |
+
"S7": {
|
| 109 |
+
"V1": [
|
| 110 |
+
0,
|
| 111 |
+
0
|
| 112 |
+
],
|
| 113 |
+
"V2": [
|
| 114 |
+
1,
|
| 115 |
+
0
|
| 116 |
+
],
|
| 117 |
+
"V3": [
|
| 118 |
+
1,
|
| 119 |
+
3
|
| 120 |
+
],
|
| 121 |
+
"V4": [
|
| 122 |
+
0,
|
| 123 |
+
3
|
| 124 |
+
]
|
| 125 |
+
}
|
| 126 |
+
},
|
| 127 |
+
"target": [
|
| 128 |
+
{
|
| 129 |
+
"polygon": [
|
| 130 |
+
[
|
| 131 |
+
4,
|
| 132 |
+
7
|
| 133 |
+
],
|
| 134 |
+
[
|
| 135 |
+
6,
|
| 136 |
+
7
|
| 137 |
+
],
|
| 138 |
+
[
|
| 139 |
+
6,
|
| 140 |
+
8
|
| 141 |
+
],
|
| 142 |
+
[
|
| 143 |
+
4,
|
| 144 |
+
8
|
| 145 |
+
]
|
| 146 |
+
]
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"polygon": [
|
| 150 |
+
[
|
| 151 |
+
6,
|
| 152 |
+
5
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
6,
|
| 156 |
+
8
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
4,
|
| 160 |
+
8
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
4,
|
| 164 |
+
5
|
| 165 |
+
]
|
| 166 |
+
]
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"polygon": [
|
| 170 |
+
[
|
| 171 |
+
4,
|
| 172 |
+
6
|
| 173 |
+
],
|
| 174 |
+
[
|
| 175 |
+
2,
|
| 176 |
+
6
|
| 177 |
+
],
|
| 178 |
+
[
|
| 179 |
+
4,
|
| 180 |
+
4
|
| 181 |
+
]
|
| 182 |
+
]
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"polygon": [
|
| 186 |
+
[
|
| 187 |
+
0,
|
| 188 |
+
5
|
| 189 |
+
],
|
| 190 |
+
[
|
| 191 |
+
2,
|
| 192 |
+
5
|
| 193 |
+
],
|
| 194 |
+
[
|
| 195 |
+
2,
|
| 196 |
+
6
|
| 197 |
+
],
|
| 198 |
+
[
|
| 199 |
+
1,
|
| 200 |
+
6
|
| 201 |
+
],
|
| 202 |
+
[
|
| 203 |
+
1,
|
| 204 |
+
8
|
| 205 |
+
],
|
| 206 |
+
[
|
| 207 |
+
0,
|
| 208 |
+
8
|
| 209 |
+
]
|
| 210 |
+
]
|
| 211 |
+
}
|
| 212 |
+
],
|
| 213 |
+
"meta": {
|
| 214 |
+
"seed": 4207020,
|
| 215 |
+
"requiredShapeCount": 4,
|
| 216 |
+
"distractorShapeCount": 3,
|
| 217 |
+
"shapePoolComplexity": "medium",
|
| 218 |
+
"overlapAllowed": true,
|
| 219 |
+
"overlapRatio": 0.284444,
|
| 220 |
+
"contourComplexity": 74,
|
| 221 |
+
"connectedComponents": 1,
|
| 222 |
+
"fillRatio": 0.100625,
|
| 223 |
+
"difficultyScore": 0.600972,
|
| 224 |
+
"rasterScale": 16,
|
| 225 |
+
"targetPackaging": "solution_xor_components",
|
| 226 |
+
"catalogIndex": 470,
|
| 227 |
+
"strictValidation": true
|
| 228 |
+
},
|
| 229 |
+
"imageAssets": {
|
| 230 |
+
"target": "../images/voi-469/target.png",
|
| 231 |
+
"shapes": {
|
| 232 |
+
"S1": "../images/voi-469/shape_S1.png",
|
| 233 |
+
"S2": "../images/voi-469/shape_S2.png",
|
| 234 |
+
"S3": "../images/voi-469/shape_S3.png",
|
| 235 |
+
"S4": "../images/voi-469/shape_S4.png",
|
| 236 |
+
"S5": "../images/voi-469/shape_S5.png",
|
| 237 |
+
"S6": "../images/voi-469/shape_S6.png",
|
| 238 |
+
"S7": "../images/voi-469/shape_S7.png"
|
| 239 |
+
}
|
| 240 |
+
},
|
| 241 |
+
"ID": "voi-469",
|
| 242 |
+
"answer": {
|
| 243 |
+
"placements": [
|
| 244 |
+
{
|
| 245 |
+
"shape": "S2",
|
| 246 |
+
"angle": 0,
|
| 247 |
+
"vertex": "V3",
|
| 248 |
+
"grid": [
|
| 249 |
+
6,
|
| 250 |
+
8
|
| 251 |
+
]
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"shape": "S3",
|
| 255 |
+
"angle": 270,
|
| 256 |
+
"vertex": "V2",
|
| 257 |
+
"grid": [
|
| 258 |
+
6,
|
| 259 |
+
8
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"shape": "S5",
|
| 264 |
+
"angle": 180,
|
| 265 |
+
"vertex": "V1",
|
| 266 |
+
"grid": [
|
| 267 |
+
4,
|
| 268 |
+
6
|
| 269 |
+
]
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"shape": "S6",
|
| 273 |
+
"angle": 0,
|
| 274 |
+
"vertex": "V1",
|
| 275 |
+
"grid": [
|
| 276 |
+
0,
|
| 277 |
+
5
|
| 278 |
+
]
|
| 279 |
+
}
|
| 280 |
+
]
|
| 281 |
+
},
|
| 282 |
+
"legacy_answer": "S2 0 V3 [6,8]\nS3 270 V2 [6,8]\nS5 180 V1 [4,6]\nS6 0 V1 [0,5]",
|
| 283 |
+
"solutionText": "S2 0 V3 [6,8]\nS3 270 V2 [6,8]\nS5 180 V1 [4,6]\nS6 0 V1 [0,5]",
|
| 284 |
+
"prompt": {
|
| 285 |
+
"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 |
+
}
|
voi/data/voi-470.json
ADDED
|
@@ -0,0 +1,280 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
1,
|
| 15 |
+
3
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
3
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
3,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
3,
|
| 33 |
+
2
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
2
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
3,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
3,
|
| 51 |
+
2
|
| 52 |
+
],
|
| 53 |
+
"V4": [
|
| 54 |
+
0,
|
| 55 |
+
2
|
| 56 |
+
]
|
| 57 |
+
},
|
| 58 |
+
"S4": {
|
| 59 |
+
"V1": [
|
| 60 |
+
0,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V2": [
|
| 64 |
+
1,
|
| 65 |
+
0
|
| 66 |
+
],
|
| 67 |
+
"V3": [
|
| 68 |
+
0,
|
| 69 |
+
1
|
| 70 |
+
]
|
| 71 |
+
},
|
| 72 |
+
"S5": {
|
| 73 |
+
"V1": [
|
| 74 |
+
0,
|
| 75 |
+
0
|
| 76 |
+
],
|
| 77 |
+
"V2": [
|
| 78 |
+
2,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V3": [
|
| 82 |
+
0,
|
| 83 |
+
2
|
| 84 |
+
]
|
| 85 |
+
},
|
| 86 |
+
"S6": {
|
| 87 |
+
"V1": [
|
| 88 |
+
0,
|
| 89 |
+
0
|
| 90 |
+
],
|
| 91 |
+
"V2": [
|
| 92 |
+
1,
|
| 93 |
+
0
|
| 94 |
+
],
|
| 95 |
+
"V3": [
|
| 96 |
+
1,
|
| 97 |
+
2
|
| 98 |
+
],
|
| 99 |
+
"V4": [
|
| 100 |
+
0,
|
| 101 |
+
2
|
| 102 |
+
]
|
| 103 |
+
},
|
| 104 |
+
"S7": {
|
| 105 |
+
"V1": [
|
| 106 |
+
0,
|
| 107 |
+
0
|
| 108 |
+
],
|
| 109 |
+
"V2": [
|
| 110 |
+
2,
|
| 111 |
+
0
|
| 112 |
+
],
|
| 113 |
+
"V3": [
|
| 114 |
+
2,
|
| 115 |
+
2
|
| 116 |
+
],
|
| 117 |
+
"V4": [
|
| 118 |
+
0,
|
| 119 |
+
2
|
| 120 |
+
]
|
| 121 |
+
}
|
| 122 |
+
},
|
| 123 |
+
"target": [
|
| 124 |
+
{
|
| 125 |
+
"polygon": [
|
| 126 |
+
[
|
| 127 |
+
1,
|
| 128 |
+
3
|
| 129 |
+
],
|
| 130 |
+
[
|
| 131 |
+
2,
|
| 132 |
+
3
|
| 133 |
+
],
|
| 134 |
+
[
|
| 135 |
+
2,
|
| 136 |
+
6
|
| 137 |
+
],
|
| 138 |
+
[
|
| 139 |
+
1,
|
| 140 |
+
6
|
| 141 |
+
]
|
| 142 |
+
]
|
| 143 |
+
},
|
| 144 |
+
{
|
| 145 |
+
"polygon": [
|
| 146 |
+
[
|
| 147 |
+
5,
|
| 148 |
+
5
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
2,
|
| 152 |
+
5
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
2,
|
| 156 |
+
3
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
5,
|
| 160 |
+
3
|
| 161 |
+
]
|
| 162 |
+
]
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
+
"polygon": [
|
| 166 |
+
[
|
| 167 |
+
0,
|
| 168 |
+
3
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
0,
|
| 172 |
+
0
|
| 173 |
+
],
|
| 174 |
+
[
|
| 175 |
+
2,
|
| 176 |
+
0
|
| 177 |
+
],
|
| 178 |
+
[
|
| 179 |
+
2,
|
| 180 |
+
3
|
| 181 |
+
]
|
| 182 |
+
]
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"polygon": [
|
| 186 |
+
[
|
| 187 |
+
3,
|
| 188 |
+
6
|
| 189 |
+
],
|
| 190 |
+
[
|
| 191 |
+
1,
|
| 192 |
+
6
|
| 193 |
+
],
|
| 194 |
+
[
|
| 195 |
+
1,
|
| 196 |
+
4
|
| 197 |
+
],
|
| 198 |
+
[
|
| 199 |
+
3,
|
| 200 |
+
4
|
| 201 |
+
]
|
| 202 |
+
]
|
| 203 |
+
}
|
| 204 |
+
],
|
| 205 |
+
"meta": {
|
| 206 |
+
"seed": 4207021,
|
| 207 |
+
"requiredShapeCount": 4,
|
| 208 |
+
"distractorShapeCount": 3,
|
| 209 |
+
"shapePoolComplexity": "medium",
|
| 210 |
+
"overlapAllowed": true,
|
| 211 |
+
"overlapRatio": 0.315789,
|
| 212 |
+
"contourComplexity": 14,
|
| 213 |
+
"connectedComponents": 2,
|
| 214 |
+
"fillRatio": 0.13,
|
| 215 |
+
"difficultyScore": 0.666842,
|
| 216 |
+
"rasterScale": 16,
|
| 217 |
+
"targetPackaging": "solution_xor_components",
|
| 218 |
+
"catalogIndex": 471,
|
| 219 |
+
"strictValidation": true
|
| 220 |
+
},
|
| 221 |
+
"imageAssets": {
|
| 222 |
+
"target": "../images/voi-470/target.png",
|
| 223 |
+
"shapes": {
|
| 224 |
+
"S1": "../images/voi-470/shape_S1.png",
|
| 225 |
+
"S2": "../images/voi-470/shape_S2.png",
|
| 226 |
+
"S3": "../images/voi-470/shape_S3.png",
|
| 227 |
+
"S4": "../images/voi-470/shape_S4.png",
|
| 228 |
+
"S5": "../images/voi-470/shape_S5.png",
|
| 229 |
+
"S6": "../images/voi-470/shape_S6.png",
|
| 230 |
+
"S7": "../images/voi-470/shape_S7.png"
|
| 231 |
+
}
|
| 232 |
+
},
|
| 233 |
+
"ID": "voi-470",
|
| 234 |
+
"answer": {
|
| 235 |
+
"placements": [
|
| 236 |
+
{
|
| 237 |
+
"shape": "S1",
|
| 238 |
+
"angle": 0,
|
| 239 |
+
"vertex": "V3",
|
| 240 |
+
"grid": [
|
| 241 |
+
2,
|
| 242 |
+
6
|
| 243 |
+
]
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"shape": "S2",
|
| 247 |
+
"angle": 180,
|
| 248 |
+
"vertex": "V3",
|
| 249 |
+
"grid": [
|
| 250 |
+
2,
|
| 251 |
+
3
|
| 252 |
+
]
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"shape": "S3",
|
| 256 |
+
"angle": 90,
|
| 257 |
+
"vertex": "V1",
|
| 258 |
+
"grid": [
|
| 259 |
+
0,
|
| 260 |
+
3
|
| 261 |
+
]
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"shape": "S7",
|
| 265 |
+
"angle": 180,
|
| 266 |
+
"vertex": "V2",
|
| 267 |
+
"grid": [
|
| 268 |
+
1,
|
| 269 |
+
6
|
| 270 |
+
]
|
| 271 |
+
}
|
| 272 |
+
]
|
| 273 |
+
},
|
| 274 |
+
"legacy_answer": "S1 0 V3 [2,6]\nS2 180 V3 [2,3]\nS3 90 V1 [0,3]\nS7 180 V2 [1,6]",
|
| 275 |
+
"solutionText": "S1 0 V3 [2,6]\nS2 180 V3 [2,3]\nS3 90 V1 [0,3]\nS7 180 V2 [1,6]",
|
| 276 |
+
"prompt": {
|
| 277 |
+
"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-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."
|
| 279 |
+
}
|
| 280 |
+
}
|
voi/data/voi-471.json
ADDED
|
@@ -0,0 +1,312 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
1,
|
| 15 |
+
2
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
2
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
2,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
2,
|
| 33 |
+
1
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
1,
|
| 37 |
+
1
|
| 38 |
+
],
|
| 39 |
+
"V5": [
|
| 40 |
+
1,
|
| 41 |
+
3
|
| 42 |
+
],
|
| 43 |
+
"V6": [
|
| 44 |
+
0,
|
| 45 |
+
3
|
| 46 |
+
]
|
| 47 |
+
},
|
| 48 |
+
"S3": {
|
| 49 |
+
"V1": [
|
| 50 |
+
0,
|
| 51 |
+
0
|
| 52 |
+
],
|
| 53 |
+
"V2": [
|
| 54 |
+
3,
|
| 55 |
+
0
|
| 56 |
+
],
|
| 57 |
+
"V3": [
|
| 58 |
+
2,
|
| 59 |
+
1
|
| 60 |
+
],
|
| 61 |
+
"V4": [
|
| 62 |
+
0,
|
| 63 |
+
1
|
| 64 |
+
]
|
| 65 |
+
},
|
| 66 |
+
"S4": {
|
| 67 |
+
"V1": [
|
| 68 |
+
0,
|
| 69 |
+
0
|
| 70 |
+
],
|
| 71 |
+
"V2": [
|
| 72 |
+
3,
|
| 73 |
+
0
|
| 74 |
+
],
|
| 75 |
+
"V3": [
|
| 76 |
+
3,
|
| 77 |
+
2
|
| 78 |
+
],
|
| 79 |
+
"V4": [
|
| 80 |
+
0,
|
| 81 |
+
2
|
| 82 |
+
]
|
| 83 |
+
},
|
| 84 |
+
"S5": {
|
| 85 |
+
"V1": [
|
| 86 |
+
0,
|
| 87 |
+
0
|
| 88 |
+
],
|
| 89 |
+
"V2": [
|
| 90 |
+
2,
|
| 91 |
+
0
|
| 92 |
+
],
|
| 93 |
+
"V3": [
|
| 94 |
+
2,
|
| 95 |
+
1
|
| 96 |
+
],
|
| 97 |
+
"V4": [
|
| 98 |
+
1,
|
| 99 |
+
1
|
| 100 |
+
],
|
| 101 |
+
"V5": [
|
| 102 |
+
1,
|
| 103 |
+
3
|
| 104 |
+
],
|
| 105 |
+
"V6": [
|
| 106 |
+
0,
|
| 107 |
+
3
|
| 108 |
+
]
|
| 109 |
+
},
|
| 110 |
+
"S6": {
|
| 111 |
+
"V1": [
|
| 112 |
+
0,
|
| 113 |
+
0
|
| 114 |
+
],
|
| 115 |
+
"V2": [
|
| 116 |
+
2,
|
| 117 |
+
0
|
| 118 |
+
],
|
| 119 |
+
"V3": [
|
| 120 |
+
2,
|
| 121 |
+
2
|
| 122 |
+
],
|
| 123 |
+
"V4": [
|
| 124 |
+
0,
|
| 125 |
+
2
|
| 126 |
+
]
|
| 127 |
+
},
|
| 128 |
+
"S7": {
|
| 129 |
+
"V1": [
|
| 130 |
+
0,
|
| 131 |
+
0
|
| 132 |
+
],
|
| 133 |
+
"V2": [
|
| 134 |
+
2,
|
| 135 |
+
0
|
| 136 |
+
],
|
| 137 |
+
"V3": [
|
| 138 |
+
2,
|
| 139 |
+
2
|
| 140 |
+
],
|
| 141 |
+
"V4": [
|
| 142 |
+
0,
|
| 143 |
+
2
|
| 144 |
+
]
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"target": [
|
| 148 |
+
{
|
| 149 |
+
"polygon": [
|
| 150 |
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[
|
| 151 |
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6,
|
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|
| 153 |
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|
| 154 |
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[
|
| 155 |
+
5,
|
| 156 |
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6
|
| 157 |
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],
|
| 158 |
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[
|
| 159 |
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|
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|
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|
| 162 |
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[
|
| 163 |
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6,
|
| 164 |
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|
| 165 |
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]
|
| 166 |
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|
| 167 |
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|
| 168 |
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{
|
| 169 |
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"polygon": [
|
| 170 |
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[
|
| 171 |
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5,
|
| 172 |
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7
|
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|
| 174 |
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[
|
| 175 |
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5,
|
| 176 |
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|
| 177 |
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|
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[
|
| 179 |
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|
| 180 |
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|
| 181 |
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],
|
| 182 |
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[
|
| 183 |
+
6,
|
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|
| 185 |
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],
|
| 186 |
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[
|
| 187 |
+
8,
|
| 188 |
+
6
|
| 189 |
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],
|
| 190 |
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[
|
| 191 |
+
8,
|
| 192 |
+
7
|
| 193 |
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]
|
| 194 |
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]
|
| 195 |
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},
|
| 196 |
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{
|
| 197 |
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"polygon": [
|
| 198 |
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[
|
| 199 |
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4,
|
| 200 |
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5
|
| 201 |
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|
| 202 |
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[
|
| 203 |
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4,
|
| 204 |
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3
|
| 205 |
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],
|
| 206 |
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[
|
| 207 |
+
6,
|
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3
|
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],
|
| 210 |
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[
|
| 211 |
+
6,
|
| 212 |
+
5
|
| 213 |
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]
|
| 214 |
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]
|
| 215 |
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},
|
| 216 |
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{
|
| 217 |
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"polygon": [
|
| 218 |
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[
|
| 219 |
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8,
|
| 220 |
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8
|
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],
|
| 222 |
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[
|
| 223 |
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8,
|
| 224 |
+
6
|
| 225 |
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],
|
| 226 |
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[
|
| 227 |
+
10,
|
| 228 |
+
6
|
| 229 |
+
],
|
| 230 |
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[
|
| 231 |
+
10,
|
| 232 |
+
8
|
| 233 |
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]
|
| 234 |
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]
|
| 235 |
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}
|
| 236 |
+
],
|
| 237 |
+
"meta": {
|
| 238 |
+
"seed": 4207022,
|
| 239 |
+
"requiredShapeCount": 4,
|
| 240 |
+
"distractorShapeCount": 3,
|
| 241 |
+
"shapePoolComplexity": "medium",
|
| 242 |
+
"overlapAllowed": true,
|
| 243 |
+
"overlapRatio": 0.285714,
|
| 244 |
+
"contourComplexity": 12,
|
| 245 |
+
"connectedComponents": 2,
|
| 246 |
+
"fillRatio": 0.1,
|
| 247 |
+
"difficultyScore": 0.847143,
|
| 248 |
+
"rasterScale": 16,
|
| 249 |
+
"targetPackaging": "solution_xor_components",
|
| 250 |
+
"catalogIndex": 472,
|
| 251 |
+
"strictValidation": true
|
| 252 |
+
},
|
| 253 |
+
"imageAssets": {
|
| 254 |
+
"target": "../images/voi-471/target.png",
|
| 255 |
+
"shapes": {
|
| 256 |
+
"S1": "../images/voi-471/shape_S1.png",
|
| 257 |
+
"S2": "../images/voi-471/shape_S2.png",
|
| 258 |
+
"S3": "../images/voi-471/shape_S3.png",
|
| 259 |
+
"S4": "../images/voi-471/shape_S4.png",
|
| 260 |
+
"S5": "../images/voi-471/shape_S5.png",
|
| 261 |
+
"S6": "../images/voi-471/shape_S6.png",
|
| 262 |
+
"S7": "../images/voi-471/shape_S7.png"
|
| 263 |
+
}
|
| 264 |
+
},
|
| 265 |
+
"ID": "voi-471",
|
| 266 |
+
"answer": {
|
| 267 |
+
"placements": [
|
| 268 |
+
{
|
| 269 |
+
"shape": "S1",
|
| 270 |
+
"angle": 180,
|
| 271 |
+
"vertex": "V2",
|
| 272 |
+
"grid": [
|
| 273 |
+
5,
|
| 274 |
+
6
|
| 275 |
+
]
|
| 276 |
+
},
|
| 277 |
+
{
|
| 278 |
+
"shape": "S2",
|
| 279 |
+
"angle": 90,
|
| 280 |
+
"vertex": "V4",
|
| 281 |
+
"grid": [
|
| 282 |
+
6,
|
| 283 |
+
6
|
| 284 |
+
]
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"shape": "S6",
|
| 288 |
+
"angle": 90,
|
| 289 |
+
"vertex": "V2",
|
| 290 |
+
"grid": [
|
| 291 |
+
4,
|
| 292 |
+
3
|
| 293 |
+
]
|
| 294 |
+
},
|
| 295 |
+
{
|
| 296 |
+
"shape": "S7",
|
| 297 |
+
"angle": 90,
|
| 298 |
+
"vertex": "V2",
|
| 299 |
+
"grid": [
|
| 300 |
+
8,
|
| 301 |
+
6
|
| 302 |
+
]
|
| 303 |
+
}
|
| 304 |
+
]
|
| 305 |
+
},
|
| 306 |
+
"legacy_answer": "S1 180 V2 [5,6]\nS2 90 V4 [6,6]\nS6 90 V2 [4,3]\nS7 90 V2 [8,6]",
|
| 307 |
+
"solutionText": "S1 180 V2 [5,6]\nS2 90 V4 [6,6]\nS6 90 V2 [4,3]\nS7 90 V2 [8,6]",
|
| 308 |
+
"prompt": {
|
| 309 |
+
"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 |
+
}
|
voi/data/voi-472.json
ADDED
|
@@ -0,0 +1,288 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
3,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
1
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
1,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
1,
|
| 33 |
+
3
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
3
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
2,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
2,
|
| 51 |
+
1
|
| 52 |
+
],
|
| 53 |
+
"V4": [
|
| 54 |
+
1,
|
| 55 |
+
1
|
| 56 |
+
],
|
| 57 |
+
"V5": [
|
| 58 |
+
1,
|
| 59 |
+
3
|
| 60 |
+
],
|
| 61 |
+
"V6": [
|
| 62 |
+
0,
|
| 63 |
+
3
|
| 64 |
+
]
|
| 65 |
+
},
|
| 66 |
+
"S4": {
|
| 67 |
+
"V1": [
|
| 68 |
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0,
|
| 69 |
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0
|
| 70 |
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],
|
| 71 |
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"V2": [
|
| 72 |
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1,
|
| 73 |
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0
|
| 74 |
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|
| 75 |
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"V3": [
|
| 76 |
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0,
|
| 77 |
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1
|
| 78 |
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|
| 79 |
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|
| 80 |
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"S5": {
|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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1
|
| 92 |
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|
| 93 |
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"V4": [
|
| 94 |
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0,
|
| 95 |
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1
|
| 96 |
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|
| 97 |
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|
| 98 |
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"S6": {
|
| 99 |
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"V1": [
|
| 100 |
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0,
|
| 101 |
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|
| 102 |
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|
| 103 |
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"V2": [
|
| 104 |
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3,
|
| 105 |
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0
|
| 106 |
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|
| 107 |
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"V3": [
|
| 108 |
+
3,
|
| 109 |
+
2
|
| 110 |
+
],
|
| 111 |
+
"V4": [
|
| 112 |
+
0,
|
| 113 |
+
2
|
| 114 |
+
]
|
| 115 |
+
},
|
| 116 |
+
"S7": {
|
| 117 |
+
"V1": [
|
| 118 |
+
0,
|
| 119 |
+
0
|
| 120 |
+
],
|
| 121 |
+
"V2": [
|
| 122 |
+
3,
|
| 123 |
+
0
|
| 124 |
+
],
|
| 125 |
+
"V3": [
|
| 126 |
+
3,
|
| 127 |
+
2
|
| 128 |
+
],
|
| 129 |
+
"V4": [
|
| 130 |
+
0,
|
| 131 |
+
2
|
| 132 |
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]
|
| 133 |
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}
|
| 134 |
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},
|
| 135 |
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"target": [
|
| 136 |
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{
|
| 137 |
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"polygon": [
|
| 138 |
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[
|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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[
|
| 143 |
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|
| 144 |
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2
|
| 145 |
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|
| 146 |
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[
|
| 147 |
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|
| 148 |
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1
|
| 149 |
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|
| 150 |
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[
|
| 151 |
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|
| 152 |
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1
|
| 153 |
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|
| 154 |
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|
| 155 |
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|
| 156 |
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{
|
| 157 |
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"polygon": [
|
| 158 |
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[
|
| 159 |
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|
| 160 |
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|
| 161 |
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|
| 162 |
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[
|
| 163 |
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2,
|
| 164 |
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2
|
| 165 |
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],
|
| 166 |
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[
|
| 167 |
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3,
|
| 168 |
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3
|
| 169 |
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]
|
| 170 |
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]
|
| 171 |
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},
|
| 172 |
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{
|
| 173 |
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"polygon": [
|
| 174 |
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[
|
| 175 |
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|
| 176 |
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|
| 177 |
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|
| 178 |
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[
|
| 179 |
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5,
|
| 180 |
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1
|
| 181 |
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],
|
| 182 |
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[
|
| 183 |
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5,
|
| 184 |
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3
|
| 185 |
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],
|
| 186 |
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[
|
| 187 |
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2,
|
| 188 |
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3
|
| 189 |
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]
|
| 190 |
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]
|
| 191 |
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},
|
| 192 |
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{
|
| 193 |
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"polygon": [
|
| 194 |
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[
|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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[
|
| 199 |
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0,
|
| 200 |
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|
| 201 |
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],
|
| 202 |
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[
|
| 203 |
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2,
|
| 204 |
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0
|
| 205 |
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],
|
| 206 |
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[
|
| 207 |
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|
| 208 |
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3
|
| 209 |
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]
|
| 210 |
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]
|
| 211 |
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}
|
| 212 |
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],
|
| 213 |
+
"meta": {
|
| 214 |
+
"seed": 4207023,
|
| 215 |
+
"requiredShapeCount": 4,
|
| 216 |
+
"distractorShapeCount": 3,
|
| 217 |
+
"shapePoolComplexity": "medium",
|
| 218 |
+
"overlapAllowed": true,
|
| 219 |
+
"overlapRatio": 0.273859,
|
| 220 |
+
"contourComplexity": 76,
|
| 221 |
+
"connectedComponents": 2,
|
| 222 |
+
"fillRatio": 0.109375,
|
| 223 |
+
"difficultyScore": 0.875814,
|
| 224 |
+
"rasterScale": 16,
|
| 225 |
+
"targetPackaging": "solution_xor_components",
|
| 226 |
+
"catalogIndex": 473,
|
| 227 |
+
"strictValidation": true
|
| 228 |
+
},
|
| 229 |
+
"imageAssets": {
|
| 230 |
+
"target": "../images/voi-472/target.png",
|
| 231 |
+
"shapes": {
|
| 232 |
+
"S1": "../images/voi-472/shape_S1.png",
|
| 233 |
+
"S2": "../images/voi-472/shape_S2.png",
|
| 234 |
+
"S3": "../images/voi-472/shape_S3.png",
|
| 235 |
+
"S4": "../images/voi-472/shape_S4.png",
|
| 236 |
+
"S5": "../images/voi-472/shape_S5.png",
|
| 237 |
+
"S6": "../images/voi-472/shape_S6.png",
|
| 238 |
+
"S7": "../images/voi-472/shape_S7.png"
|
| 239 |
+
}
|
| 240 |
+
},
|
| 241 |
+
"ID": "voi-472",
|
| 242 |
+
"answer": {
|
| 243 |
+
"placements": [
|
| 244 |
+
{
|
| 245 |
+
"shape": "S1",
|
| 246 |
+
"angle": 180,
|
| 247 |
+
"vertex": "V2",
|
| 248 |
+
"grid": [
|
| 249 |
+
3,
|
| 250 |
+
2
|
| 251 |
+
]
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"shape": "S4",
|
| 255 |
+
"angle": 90,
|
| 256 |
+
"vertex": "V1",
|
| 257 |
+
"grid": [
|
| 258 |
+
2,
|
| 259 |
+
3
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"shape": "S6",
|
| 264 |
+
"angle": 0,
|
| 265 |
+
"vertex": "V3",
|
| 266 |
+
"grid": [
|
| 267 |
+
5,
|
| 268 |
+
3
|
| 269 |
+
]
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"shape": "S7",
|
| 273 |
+
"angle": 90,
|
| 274 |
+
"vertex": "V2",
|
| 275 |
+
"grid": [
|
| 276 |
+
0,
|
| 277 |
+
0
|
| 278 |
+
]
|
| 279 |
+
}
|
| 280 |
+
]
|
| 281 |
+
},
|
| 282 |
+
"legacy_answer": "S1 180 V2 [3,2]\nS4 90 V1 [2,3]\nS6 0 V3 [5,3]\nS7 90 V2 [0,0]",
|
| 283 |
+
"solutionText": "S1 180 V2 [3,2]\nS4 90 V1 [2,3]\nS6 0 V3 [5,3]\nS7 90 V2 [0,0]",
|
| 284 |
+
"prompt": {
|
| 285 |
+
"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."
|
| 287 |
+
}
|
| 288 |
+
}
|
voi/data/voi-473.json
ADDED
|
@@ -0,0 +1,304 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
3,
|
| 11 |
+
0
|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
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|
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|
| 23 |
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|
| 24 |
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|
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|
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| 28 |
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|
| 29 |
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|
| 30 |
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| 31 |
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|
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| 35 |
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|
| 36 |
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|
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|
| 41 |
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| 121 |
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| 126 |
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|
| 128 |
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| 129 |
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|
| 130 |
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|
| 131 |
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|
| 132 |
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|
| 133 |
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|
| 134 |
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|
| 135 |
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|
| 136 |
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|
| 137 |
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}
|
| 138 |
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| 139 |
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"target": [
|
| 140 |
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|
| 141 |
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| 142 |
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|
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|
| 149 |
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| 154 |
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| 155 |
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| 159 |
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| 160 |
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| 161 |
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| 165 |
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| 167 |
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|
| 169 |
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|
| 171 |
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|
| 173 |
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| 175 |
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|
| 177 |
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| 178 |
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|
| 179 |
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| 180 |
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|
| 181 |
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| 182 |
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[
|
| 183 |
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|
| 184 |
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|
| 185 |
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|
| 186 |
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| 187 |
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|
| 188 |
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|
| 189 |
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|
| 190 |
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|
| 191 |
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| 192 |
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|
| 193 |
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| 194 |
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[
|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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[
|
| 199 |
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|
| 200 |
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|
| 201 |
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|
| 202 |
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[
|
| 203 |
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|
| 204 |
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|
| 205 |
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| 206 |
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| 207 |
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|
| 208 |
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{
|
| 209 |
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"polygon": [
|
| 210 |
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| 213 |
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| 214 |
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[
|
| 215 |
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3,
|
| 216 |
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5
|
| 217 |
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],
|
| 218 |
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[
|
| 219 |
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3,
|
| 220 |
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3
|
| 221 |
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],
|
| 222 |
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[
|
| 223 |
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5,
|
| 224 |
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|
| 225 |
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|
| 226 |
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]
|
| 227 |
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}
|
| 228 |
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],
|
| 229 |
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"meta": {
|
| 230 |
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"seed": 4207024,
|
| 231 |
+
"requiredShapeCount": 4,
|
| 232 |
+
"distractorShapeCount": 3,
|
| 233 |
+
"shapePoolComplexity": "medium",
|
| 234 |
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"overlapAllowed": true,
|
| 235 |
+
"overlapRatio": 0.4,
|
| 236 |
+
"contourComplexity": 14,
|
| 237 |
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"connectedComponents": 2,
|
| 238 |
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"fillRatio": 0.12,
|
| 239 |
+
"difficultyScore": 0.87,
|
| 240 |
+
"rasterScale": 16,
|
| 241 |
+
"targetPackaging": "solution_xor_components",
|
| 242 |
+
"catalogIndex": 474,
|
| 243 |
+
"strictValidation": true
|
| 244 |
+
},
|
| 245 |
+
"imageAssets": {
|
| 246 |
+
"target": "../images/voi-473/target.png",
|
| 247 |
+
"shapes": {
|
| 248 |
+
"S1": "../images/voi-473/shape_S1.png",
|
| 249 |
+
"S2": "../images/voi-473/shape_S2.png",
|
| 250 |
+
"S3": "../images/voi-473/shape_S3.png",
|
| 251 |
+
"S4": "../images/voi-473/shape_S4.png",
|
| 252 |
+
"S5": "../images/voi-473/shape_S5.png",
|
| 253 |
+
"S6": "../images/voi-473/shape_S6.png",
|
| 254 |
+
"S7": "../images/voi-473/shape_S7.png"
|
| 255 |
+
}
|
| 256 |
+
},
|
| 257 |
+
"ID": "voi-473",
|
| 258 |
+
"answer": {
|
| 259 |
+
"placements": [
|
| 260 |
+
{
|
| 261 |
+
"shape": "S1",
|
| 262 |
+
"angle": 270,
|
| 263 |
+
"vertex": "V3",
|
| 264 |
+
"grid": [
|
| 265 |
+
3,
|
| 266 |
+
6
|
| 267 |
+
]
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"shape": "S3",
|
| 271 |
+
"angle": 270,
|
| 272 |
+
"vertex": "V6",
|
| 273 |
+
"grid": [
|
| 274 |
+
4,
|
| 275 |
+
1
|
| 276 |
+
]
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"shape": "S6",
|
| 280 |
+
"angle": 270,
|
| 281 |
+
"vertex": "V1",
|
| 282 |
+
"grid": [
|
| 283 |
+
3,
|
| 284 |
+
4
|
| 285 |
+
]
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"shape": "S7",
|
| 289 |
+
"angle": 180,
|
| 290 |
+
"vertex": "V4",
|
| 291 |
+
"grid": [
|
| 292 |
+
5,
|
| 293 |
+
3
|
| 294 |
+
]
|
| 295 |
+
}
|
| 296 |
+
]
|
| 297 |
+
},
|
| 298 |
+
"legacy_answer": "S1 270 V3 [3,6]\nS3 270 V6 [4,1]\nS6 270 V1 [3,4]\nS7 180 V4 [5,3]",
|
| 299 |
+
"solutionText": "S1 270 V3 [3,6]\nS3 270 V6 [4,1]\nS6 270 V1 [3,4]\nS7 180 V4 [5,3]",
|
| 300 |
+
"prompt": {
|
| 301 |
+
"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 |
+
}
|
voi/data/voi-474.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
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"gridSize": 10,
|
| 3 |
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"inventory": {
|
| 4 |
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"S1": {
|
| 5 |
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"V1": [
|
| 6 |
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0,
|
| 7 |
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0
|
| 8 |
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|
| 9 |
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|
| 10 |
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3,
|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
+
3,
|
| 15 |
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|
| 16 |
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|
| 17 |
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"V4": [
|
| 18 |
+
0,
|
| 19 |
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|
| 20 |
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|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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0,
|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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0,
|
| 37 |
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1
|
| 38 |
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|
| 39 |
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|
| 40 |
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|
| 41 |
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|
| 42 |
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0,
|
| 43 |
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|
| 44 |
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|
| 45 |
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|
| 46 |
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|
| 47 |
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0
|
| 48 |
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|
| 49 |
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|
| 50 |
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|
| 51 |
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1
|
| 52 |
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|
| 53 |
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|
| 54 |
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1,
|
| 55 |
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1
|
| 56 |
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|
| 57 |
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|
| 58 |
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1,
|
| 59 |
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3
|
| 60 |
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|
| 61 |
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|
| 62 |
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0,
|
| 63 |
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3
|
| 64 |
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|
| 65 |
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|
| 66 |
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"S4": {
|
| 67 |
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|
| 68 |
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0,
|
| 69 |
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0
|
| 70 |
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|
| 71 |
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"V2": [
|
| 72 |
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3,
|
| 73 |
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0
|
| 74 |
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|
| 75 |
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|
| 76 |
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3,
|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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0,
|
| 81 |
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|
| 82 |
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|
| 83 |
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|
| 84 |
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"S5": {
|
| 85 |
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|
| 86 |
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0,
|
| 87 |
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|
| 88 |
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|
| 89 |
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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|
| 96 |
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|
| 97 |
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|
| 98 |
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"S6": {
|
| 99 |
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|
| 100 |
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0,
|
| 101 |
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|
| 102 |
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|
| 103 |
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|
| 104 |
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3,
|
| 105 |
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0
|
| 106 |
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|
| 107 |
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"V3": [
|
| 108 |
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3,
|
| 109 |
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2
|
| 110 |
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|
| 111 |
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"V4": [
|
| 112 |
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0,
|
| 113 |
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2
|
| 114 |
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|
| 115 |
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|
| 116 |
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"S7": {
|
| 117 |
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"V1": [
|
| 118 |
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0,
|
| 119 |
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0
|
| 120 |
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|
| 121 |
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|
| 122 |
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2,
|
| 123 |
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0
|
| 124 |
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|
| 125 |
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"V3": [
|
| 126 |
+
2,
|
| 127 |
+
1
|
| 128 |
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|
| 129 |
+
"V4": [
|
| 130 |
+
1,
|
| 131 |
+
1
|
| 132 |
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|
| 133 |
+
"V5": [
|
| 134 |
+
1,
|
| 135 |
+
3
|
| 136 |
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|
| 137 |
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"V6": [
|
| 138 |
+
0,
|
| 139 |
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3
|
| 140 |
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]
|
| 141 |
+
}
|
| 142 |
+
},
|
| 143 |
+
"target": [
|
| 144 |
+
{
|
| 145 |
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"polygon": [
|
| 146 |
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[
|
| 147 |
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2,
|
| 148 |
+
7
|
| 149 |
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|
| 150 |
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[
|
| 151 |
+
5,
|
| 152 |
+
7
|
| 153 |
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],
|
| 154 |
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[
|
| 155 |
+
5,
|
| 156 |
+
9
|
| 157 |
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],
|
| 158 |
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[
|
| 159 |
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2,
|
| 160 |
+
9
|
| 161 |
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]
|
| 162 |
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]
|
| 163 |
+
},
|
| 164 |
+
{
|
| 165 |
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"polygon": [
|
| 166 |
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[
|
| 167 |
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2,
|
| 168 |
+
7
|
| 169 |
+
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|
| 170 |
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[
|
| 171 |
+
4,
|
| 172 |
+
7
|
| 173 |
+
],
|
| 174 |
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[
|
| 175 |
+
4,
|
| 176 |
+
8
|
| 177 |
+
],
|
| 178 |
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[
|
| 179 |
+
2,
|
| 180 |
+
8
|
| 181 |
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]
|
| 182 |
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]
|
| 183 |
+
},
|
| 184 |
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{
|
| 185 |
+
"polygon": [
|
| 186 |
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[
|
| 187 |
+
6,
|
| 188 |
+
7
|
| 189 |
+
],
|
| 190 |
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[
|
| 191 |
+
6,
|
| 192 |
+
4
|
| 193 |
+
],
|
| 194 |
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[
|
| 195 |
+
8,
|
| 196 |
+
4
|
| 197 |
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],
|
| 198 |
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[
|
| 199 |
+
8,
|
| 200 |
+
7
|
| 201 |
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]
|
| 202 |
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]
|
| 203 |
+
},
|
| 204 |
+
{
|
| 205 |
+
"polygon": [
|
| 206 |
+
[
|
| 207 |
+
8,
|
| 208 |
+
9
|
| 209 |
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],
|
| 210 |
+
[
|
| 211 |
+
6,
|
| 212 |
+
9
|
| 213 |
+
],
|
| 214 |
+
[
|
| 215 |
+
8,
|
| 216 |
+
7
|
| 217 |
+
]
|
| 218 |
+
]
|
| 219 |
+
}
|
| 220 |
+
],
|
| 221 |
+
"meta": {
|
| 222 |
+
"seed": 4207025,
|
| 223 |
+
"requiredShapeCount": 4,
|
| 224 |
+
"distractorShapeCount": 3,
|
| 225 |
+
"shapePoolComplexity": "medium",
|
| 226 |
+
"overlapAllowed": true,
|
| 227 |
+
"overlapRatio": 0.249027,
|
| 228 |
+
"contourComplexity": 74,
|
| 229 |
+
"connectedComponents": 2,
|
| 230 |
+
"fillRatio": 0.120625,
|
| 231 |
+
"difficultyScore": 0.952641,
|
| 232 |
+
"rasterScale": 16,
|
| 233 |
+
"targetPackaging": "solution_xor_components",
|
| 234 |
+
"catalogIndex": 475,
|
| 235 |
+
"strictValidation": true
|
| 236 |
+
},
|
| 237 |
+
"imageAssets": {
|
| 238 |
+
"target": "../images/voi-474/target.png",
|
| 239 |
+
"shapes": {
|
| 240 |
+
"S1": "../images/voi-474/shape_S1.png",
|
| 241 |
+
"S2": "../images/voi-474/shape_S2.png",
|
| 242 |
+
"S3": "../images/voi-474/shape_S3.png",
|
| 243 |
+
"S4": "../images/voi-474/shape_S4.png",
|
| 244 |
+
"S5": "../images/voi-474/shape_S5.png",
|
| 245 |
+
"S6": "../images/voi-474/shape_S6.png",
|
| 246 |
+
"S7": "../images/voi-474/shape_S7.png"
|
| 247 |
+
}
|
| 248 |
+
},
|
| 249 |
+
"ID": "voi-474",
|
| 250 |
+
"answer": {
|
| 251 |
+
"placements": [
|
| 252 |
+
{
|
| 253 |
+
"shape": "S1",
|
| 254 |
+
"angle": 0,
|
| 255 |
+
"vertex": "V2",
|
| 256 |
+
"grid": [
|
| 257 |
+
5,
|
| 258 |
+
7
|
| 259 |
+
]
|
| 260 |
+
},
|
| 261 |
+
{
|
| 262 |
+
"shape": "S2",
|
| 263 |
+
"angle": 0,
|
| 264 |
+
"vertex": "V3",
|
| 265 |
+
"grid": [
|
| 266 |
+
4,
|
| 267 |
+
8
|
| 268 |
+
]
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"shape": "S4",
|
| 272 |
+
"angle": 90,
|
| 273 |
+
"vertex": "V4",
|
| 274 |
+
"grid": [
|
| 275 |
+
8,
|
| 276 |
+
7
|
| 277 |
+
]
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"shape": "S5",
|
| 281 |
+
"angle": 180,
|
| 282 |
+
"vertex": "V2",
|
| 283 |
+
"grid": [
|
| 284 |
+
6,
|
| 285 |
+
9
|
| 286 |
+
]
|
| 287 |
+
}
|
| 288 |
+
]
|
| 289 |
+
},
|
| 290 |
+
"legacy_answer": "S1 0 V2 [5,7]\nS2 0 V3 [4,8]\nS4 90 V4 [8,7]\nS5 180 V2 [6,9]",
|
| 291 |
+
"solutionText": "S1 0 V2 [5,7]\nS2 0 V3 [4,8]\nS4 90 V4 [8,7]\nS5 180 V2 [6,9]",
|
| 292 |
+
"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-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
|
@@ -0,0 +1,272 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
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"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
0,
|
| 15 |
+
1
|
| 16 |
+
]
|
| 17 |
+
},
|
| 18 |
+
"S2": {
|
| 19 |
+
"V1": [
|
| 20 |
+
0,
|
| 21 |
+
0
|
| 22 |
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],
|
| 23 |
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"V2": [
|
| 24 |
+
2,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V3": [
|
| 28 |
+
0,
|
| 29 |
+
2
|
| 30 |
+
]
|
| 31 |
+
},
|
| 32 |
+
"S3": {
|
| 33 |
+
"V1": [
|
| 34 |
+
0,
|
| 35 |
+
0
|
| 36 |
+
],
|
| 37 |
+
"V2": [
|
| 38 |
+
2,
|
| 39 |
+
0
|
| 40 |
+
],
|
| 41 |
+
"V3": [
|
| 42 |
+
2,
|
| 43 |
+
2
|
| 44 |
+
],
|
| 45 |
+
"V4": [
|
| 46 |
+
0,
|
| 47 |
+
2
|
| 48 |
+
]
|
| 49 |
+
},
|
| 50 |
+
"S4": {
|
| 51 |
+
"V1": [
|
| 52 |
+
0,
|
| 53 |
+
0
|
| 54 |
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],
|
| 55 |
+
"V2": [
|
| 56 |
+
1,
|
| 57 |
+
0
|
| 58 |
+
],
|
| 59 |
+
"V3": [
|
| 60 |
+
0,
|
| 61 |
+
1
|
| 62 |
+
]
|
| 63 |
+
},
|
| 64 |
+
"S5": {
|
| 65 |
+
"V1": [
|
| 66 |
+
0,
|
| 67 |
+
0
|
| 68 |
+
],
|
| 69 |
+
"V2": [
|
| 70 |
+
3,
|
| 71 |
+
0
|
| 72 |
+
],
|
| 73 |
+
"V3": [
|
| 74 |
+
3,
|
| 75 |
+
2
|
| 76 |
+
],
|
| 77 |
+
"V4": [
|
| 78 |
+
0,
|
| 79 |
+
2
|
| 80 |
+
]
|
| 81 |
+
},
|
| 82 |
+
"S6": {
|
| 83 |
+
"V1": [
|
| 84 |
+
0,
|
| 85 |
+
0
|
| 86 |
+
],
|
| 87 |
+
"V2": [
|
| 88 |
+
2,
|
| 89 |
+
0
|
| 90 |
+
],
|
| 91 |
+
"V3": [
|
| 92 |
+
2,
|
| 93 |
+
2
|
| 94 |
+
],
|
| 95 |
+
"V4": [
|
| 96 |
+
0,
|
| 97 |
+
2
|
| 98 |
+
]
|
| 99 |
+
},
|
| 100 |
+
"S7": {
|
| 101 |
+
"V1": [
|
| 102 |
+
0,
|
| 103 |
+
0
|
| 104 |
+
],
|
| 105 |
+
"V2": [
|
| 106 |
+
2,
|
| 107 |
+
0
|
| 108 |
+
],
|
| 109 |
+
"V3": [
|
| 110 |
+
2,
|
| 111 |
+
1
|
| 112 |
+
],
|
| 113 |
+
"V4": [
|
| 114 |
+
0,
|
| 115 |
+
1
|
| 116 |
+
]
|
| 117 |
+
}
|
| 118 |
+
},
|
| 119 |
+
"target": [
|
| 120 |
+
{
|
| 121 |
+
"polygon": [
|
| 122 |
+
[
|
| 123 |
+
1,
|
| 124 |
+
6
|
| 125 |
+
],
|
| 126 |
+
[
|
| 127 |
+
1,
|
| 128 |
+
4
|
| 129 |
+
],
|
| 130 |
+
[
|
| 131 |
+
3,
|
| 132 |
+
6
|
| 133 |
+
]
|
| 134 |
+
]
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"polygon": [
|
| 138 |
+
[
|
| 139 |
+
1,
|
| 140 |
+
2
|
| 141 |
+
],
|
| 142 |
+
[
|
| 143 |
+
3,
|
| 144 |
+
2
|
| 145 |
+
],
|
| 146 |
+
[
|
| 147 |
+
3,
|
| 148 |
+
4
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
1,
|
| 152 |
+
4
|
| 153 |
+
]
|
| 154 |
+
]
|
| 155 |
+
},
|
| 156 |
+
{
|
| 157 |
+
"polygon": [
|
| 158 |
+
[
|
| 159 |
+
4,
|
| 160 |
+
5
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
4,
|
| 164 |
+
2
|
| 165 |
+
],
|
| 166 |
+
[
|
| 167 |
+
6,
|
| 168 |
+
2
|
| 169 |
+
],
|
| 170 |
+
[
|
| 171 |
+
6,
|
| 172 |
+
5
|
| 173 |
+
]
|
| 174 |
+
]
|
| 175 |
+
},
|
| 176 |
+
{
|
| 177 |
+
"polygon": [
|
| 178 |
+
[
|
| 179 |
+
5,
|
| 180 |
+
4
|
| 181 |
+
],
|
| 182 |
+
[
|
| 183 |
+
3,
|
| 184 |
+
4
|
| 185 |
+
],
|
| 186 |
+
[
|
| 187 |
+
3,
|
| 188 |
+
2
|
| 189 |
+
],
|
| 190 |
+
[
|
| 191 |
+
5,
|
| 192 |
+
2
|
| 193 |
+
]
|
| 194 |
+
]
|
| 195 |
+
}
|
| 196 |
+
],
|
| 197 |
+
"meta": {
|
| 198 |
+
"seed": 4207026,
|
| 199 |
+
"requiredShapeCount": 4,
|
| 200 |
+
"distractorShapeCount": 3,
|
| 201 |
+
"shapePoolComplexity": "medium",
|
| 202 |
+
"overlapAllowed": true,
|
| 203 |
+
"overlapRatio": 0.249027,
|
| 204 |
+
"contourComplexity": 74,
|
| 205 |
+
"connectedComponents": 2,
|
| 206 |
+
"fillRatio": 0.120625,
|
| 207 |
+
"difficultyScore": 0.952641,
|
| 208 |
+
"rasterScale": 16,
|
| 209 |
+
"targetPackaging": "solution_xor_components",
|
| 210 |
+
"catalogIndex": 476,
|
| 211 |
+
"strictValidation": true
|
| 212 |
+
},
|
| 213 |
+
"imageAssets": {
|
| 214 |
+
"target": "../images/voi-475/target.png",
|
| 215 |
+
"shapes": {
|
| 216 |
+
"S1": "../images/voi-475/shape_S1.png",
|
| 217 |
+
"S2": "../images/voi-475/shape_S2.png",
|
| 218 |
+
"S3": "../images/voi-475/shape_S3.png",
|
| 219 |
+
"S4": "../images/voi-475/shape_S4.png",
|
| 220 |
+
"S5": "../images/voi-475/shape_S5.png",
|
| 221 |
+
"S6": "../images/voi-475/shape_S6.png",
|
| 222 |
+
"S7": "../images/voi-475/shape_S7.png"
|
| 223 |
+
}
|
| 224 |
+
},
|
| 225 |
+
"ID": "voi-475",
|
| 226 |
+
"answer": {
|
| 227 |
+
"placements": [
|
| 228 |
+
{
|
| 229 |
+
"shape": "S2",
|
| 230 |
+
"angle": 90,
|
| 231 |
+
"vertex": "V3",
|
| 232 |
+
"grid": [
|
| 233 |
+
3,
|
| 234 |
+
6
|
| 235 |
+
]
|
| 236 |
+
},
|
| 237 |
+
{
|
| 238 |
+
"shape": "S3",
|
| 239 |
+
"angle": 0,
|
| 240 |
+
"vertex": "V1",
|
| 241 |
+
"grid": [
|
| 242 |
+
1,
|
| 243 |
+
2
|
| 244 |
+
]
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"shape": "S5",
|
| 248 |
+
"angle": 90,
|
| 249 |
+
"vertex": "V2",
|
| 250 |
+
"grid": [
|
| 251 |
+
4,
|
| 252 |
+
2
|
| 253 |
+
]
|
| 254 |
+
},
|
| 255 |
+
{
|
| 256 |
+
"shape": "S6",
|
| 257 |
+
"angle": 180,
|
| 258 |
+
"vertex": "V3",
|
| 259 |
+
"grid": [
|
| 260 |
+
3,
|
| 261 |
+
2
|
| 262 |
+
]
|
| 263 |
+
}
|
| 264 |
+
]
|
| 265 |
+
},
|
| 266 |
+
"legacy_answer": "S2 90 V3 [3,6]\nS3 0 V1 [1,2]\nS5 90 V2 [4,2]\nS6 180 V3 [3,2]",
|
| 267 |
+
"solutionText": "S2 90 V3 [3,6]\nS3 0 V1 [1,2]\nS5 90 V2 [4,2]\nS6 180 V3 [3,2]",
|
| 268 |
+
"prompt": {
|
| 269 |
+
"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."
|
| 271 |
+
}
|
| 272 |
+
}
|
voi/data/voi-476.json
ADDED
|
@@ -0,0 +1,288 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
1,
|
| 15 |
+
3
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
3
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
3,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
3,
|
| 33 |
+
1
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
1
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
2,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
2,
|
| 51 |
+
1
|
| 52 |
+
],
|
| 53 |
+
"V4": [
|
| 54 |
+
0,
|
| 55 |
+
1
|
| 56 |
+
]
|
| 57 |
+
},
|
| 58 |
+
"S4": {
|
| 59 |
+
"V1": [
|
| 60 |
+
0,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V2": [
|
| 64 |
+
1,
|
| 65 |
+
0
|
| 66 |
+
],
|
| 67 |
+
"V3": [
|
| 68 |
+
1,
|
| 69 |
+
2
|
| 70 |
+
],
|
| 71 |
+
"V4": [
|
| 72 |
+
0,
|
| 73 |
+
2
|
| 74 |
+
]
|
| 75 |
+
},
|
| 76 |
+
"S5": {
|
| 77 |
+
"V1": [
|
| 78 |
+
0,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V2": [
|
| 82 |
+
3,
|
| 83 |
+
0
|
| 84 |
+
],
|
| 85 |
+
"V3": [
|
| 86 |
+
3,
|
| 87 |
+
2
|
| 88 |
+
],
|
| 89 |
+
"V4": [
|
| 90 |
+
0,
|
| 91 |
+
2
|
| 92 |
+
]
|
| 93 |
+
},
|
| 94 |
+
"S6": {
|
| 95 |
+
"V1": [
|
| 96 |
+
0,
|
| 97 |
+
0
|
| 98 |
+
],
|
| 99 |
+
"V2": [
|
| 100 |
+
1,
|
| 101 |
+
0
|
| 102 |
+
],
|
| 103 |
+
"V3": [
|
| 104 |
+
1,
|
| 105 |
+
3
|
| 106 |
+
],
|
| 107 |
+
"V4": [
|
| 108 |
+
0,
|
| 109 |
+
3
|
| 110 |
+
]
|
| 111 |
+
},
|
| 112 |
+
"S7": {
|
| 113 |
+
"V1": [
|
| 114 |
+
0,
|
| 115 |
+
0
|
| 116 |
+
],
|
| 117 |
+
"V2": [
|
| 118 |
+
2,
|
| 119 |
+
0
|
| 120 |
+
],
|
| 121 |
+
"V3": [
|
| 122 |
+
2,
|
| 123 |
+
1
|
| 124 |
+
],
|
| 125 |
+
"V4": [
|
| 126 |
+
0,
|
| 127 |
+
1
|
| 128 |
+
]
|
| 129 |
+
}
|
| 130 |
+
},
|
| 131 |
+
"target": [
|
| 132 |
+
{
|
| 133 |
+
"polygon": [
|
| 134 |
+
[
|
| 135 |
+
1,
|
| 136 |
+
8
|
| 137 |
+
],
|
| 138 |
+
[
|
| 139 |
+
1,
|
| 140 |
+
7
|
| 141 |
+
],
|
| 142 |
+
[
|
| 143 |
+
4,
|
| 144 |
+
7
|
| 145 |
+
],
|
| 146 |
+
[
|
| 147 |
+
4,
|
| 148 |
+
8
|
| 149 |
+
]
|
| 150 |
+
]
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"polygon": [
|
| 154 |
+
[
|
| 155 |
+
5,
|
| 156 |
+
1
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
8,
|
| 160 |
+
1
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
8,
|
| 164 |
+
2
|
| 165 |
+
],
|
| 166 |
+
[
|
| 167 |
+
5,
|
| 168 |
+
2
|
| 169 |
+
]
|
| 170 |
+
]
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"polygon": [
|
| 174 |
+
[
|
| 175 |
+
8,
|
| 176 |
+
2
|
| 177 |
+
],
|
| 178 |
+
[
|
| 179 |
+
8,
|
| 180 |
+
3
|
| 181 |
+
],
|
| 182 |
+
[
|
| 183 |
+
6,
|
| 184 |
+
3
|
| 185 |
+
],
|
| 186 |
+
[
|
| 187 |
+
6,
|
| 188 |
+
2
|
| 189 |
+
]
|
| 190 |
+
]
|
| 191 |
+
},
|
| 192 |
+
{
|
| 193 |
+
"polygon": [
|
| 194 |
+
[
|
| 195 |
+
5,
|
| 196 |
+
2
|
| 197 |
+
],
|
| 198 |
+
[
|
| 199 |
+
8,
|
| 200 |
+
2
|
| 201 |
+
],
|
| 202 |
+
[
|
| 203 |
+
8,
|
| 204 |
+
4
|
| 205 |
+
],
|
| 206 |
+
[
|
| 207 |
+
5,
|
| 208 |
+
4
|
| 209 |
+
]
|
| 210 |
+
]
|
| 211 |
+
}
|
| 212 |
+
],
|
| 213 |
+
"meta": {
|
| 214 |
+
"seed": 4207027,
|
| 215 |
+
"requiredShapeCount": 4,
|
| 216 |
+
"distractorShapeCount": 3,
|
| 217 |
+
"shapePoolComplexity": "medium",
|
| 218 |
+
"overlapAllowed": true,
|
| 219 |
+
"overlapRatio": 0.285714,
|
| 220 |
+
"contourComplexity": 12,
|
| 221 |
+
"connectedComponents": 2,
|
| 222 |
+
"fillRatio": 0.1,
|
| 223 |
+
"difficultyScore": 0.847143,
|
| 224 |
+
"rasterScale": 16,
|
| 225 |
+
"targetPackaging": "solution_xor_components",
|
| 226 |
+
"catalogIndex": 477,
|
| 227 |
+
"strictValidation": true
|
| 228 |
+
},
|
| 229 |
+
"imageAssets": {
|
| 230 |
+
"target": "../images/voi-476/target.png",
|
| 231 |
+
"shapes": {
|
| 232 |
+
"S1": "../images/voi-476/shape_S1.png",
|
| 233 |
+
"S2": "../images/voi-476/shape_S2.png",
|
| 234 |
+
"S3": "../images/voi-476/shape_S3.png",
|
| 235 |
+
"S4": "../images/voi-476/shape_S4.png",
|
| 236 |
+
"S5": "../images/voi-476/shape_S5.png",
|
| 237 |
+
"S6": "../images/voi-476/shape_S6.png",
|
| 238 |
+
"S7": "../images/voi-476/shape_S7.png"
|
| 239 |
+
}
|
| 240 |
+
},
|
| 241 |
+
"ID": "voi-476",
|
| 242 |
+
"answer": {
|
| 243 |
+
"placements": [
|
| 244 |
+
{
|
| 245 |
+
"shape": "S1",
|
| 246 |
+
"angle": 90,
|
| 247 |
+
"vertex": "V4",
|
| 248 |
+
"grid": [
|
| 249 |
+
4,
|
| 250 |
+
8
|
| 251 |
+
]
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"shape": "S2",
|
| 255 |
+
"angle": 0,
|
| 256 |
+
"vertex": "V3",
|
| 257 |
+
"grid": [
|
| 258 |
+
8,
|
| 259 |
+
2
|
| 260 |
+
]
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"shape": "S4",
|
| 264 |
+
"angle": 270,
|
| 265 |
+
"vertex": "V1",
|
| 266 |
+
"grid": [
|
| 267 |
+
8,
|
| 268 |
+
2
|
| 269 |
+
]
|
| 270 |
+
},
|
| 271 |
+
{
|
| 272 |
+
"shape": "S5",
|
| 273 |
+
"angle": 0,
|
| 274 |
+
"vertex": "V1",
|
| 275 |
+
"grid": [
|
| 276 |
+
5,
|
| 277 |
+
2
|
| 278 |
+
]
|
| 279 |
+
}
|
| 280 |
+
]
|
| 281 |
+
},
|
| 282 |
+
"legacy_answer": "S1 90 V4 [4,8]\nS2 0 V3 [8,2]\nS4 270 V1 [8,2]\nS5 0 V1 [5,2]",
|
| 283 |
+
"solutionText": "S1 90 V4 [4,8]\nS2 0 V3 [8,2]\nS4 270 V1 [8,2]\nS5 0 V1 [5,2]",
|
| 284 |
+
"prompt": {
|
| 285 |
+
"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 |
+
}
|
voi/data/voi-477.json
ADDED
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@@ -0,0 +1,296 @@
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| 1 |
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{
|
| 2 |
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"gridSize": 10,
|
| 3 |
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"inventory": {
|
| 4 |
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|
| 5 |
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|
| 6 |
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|
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|
| 8 |
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|
| 9 |
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|
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|
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 16 |
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|
| 17 |
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|
| 18 |
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|
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|
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|
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| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
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|
| 27 |
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|
| 28 |
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|
| 29 |
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| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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|
| 34 |
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|
| 35 |
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|
| 36 |
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|
| 37 |
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|
| 38 |
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|
| 39 |
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| 40 |
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|
| 41 |
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|
| 42 |
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|
| 43 |
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|
| 44 |
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| 45 |
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|
| 47 |
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| 49 |
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| 50 |
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|
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| 52 |
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|
| 54 |
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|
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|
| 56 |
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|
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|
| 59 |
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|
| 60 |
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|
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|
| 62 |
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| 64 |
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0
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| 66 |
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|
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|
| 71 |
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|
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1,
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|
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|
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"V5": [
|
| 76 |
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1,
|
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3
|
| 78 |
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|
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"V6": [
|
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|
| 83 |
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"S5": {
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| 85 |
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"V1": [
|
| 86 |
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"S6": {
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"V1": [
|
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"V3": [
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"V4": [
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"S7": {
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| 121 |
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"V1": [
|
| 122 |
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"V2": [
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],
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"V3": [
|
| 130 |
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0,
|
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2
|
| 132 |
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]
|
| 133 |
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|
| 134 |
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},
|
| 135 |
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"target": [
|
| 136 |
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{
|
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"polygon": [
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[
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|
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|
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[
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4
|
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|
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[
|
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|
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|
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|
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{
|
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"polygon": [
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[
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 219 |
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}
|
| 220 |
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],
|
| 221 |
+
"meta": {
|
| 222 |
+
"seed": 4207028,
|
| 223 |
+
"requiredShapeCount": 4,
|
| 224 |
+
"distractorShapeCount": 3,
|
| 225 |
+
"shapePoolComplexity": "medium",
|
| 226 |
+
"overlapAllowed": true,
|
| 227 |
+
"overlapRatio": 0.373541,
|
| 228 |
+
"contourComplexity": 80,
|
| 229 |
+
"connectedComponents": 2,
|
| 230 |
+
"fillRatio": 0.100625,
|
| 231 |
+
"difficultyScore": 0.802913,
|
| 232 |
+
"rasterScale": 16,
|
| 233 |
+
"targetPackaging": "solution_xor_components",
|
| 234 |
+
"catalogIndex": 478,
|
| 235 |
+
"strictValidation": true
|
| 236 |
+
},
|
| 237 |
+
"imageAssets": {
|
| 238 |
+
"target": "../images/voi-477/target.png",
|
| 239 |
+
"shapes": {
|
| 240 |
+
"S1": "../images/voi-477/shape_S1.png",
|
| 241 |
+
"S2": "../images/voi-477/shape_S2.png",
|
| 242 |
+
"S3": "../images/voi-477/shape_S3.png",
|
| 243 |
+
"S4": "../images/voi-477/shape_S4.png",
|
| 244 |
+
"S5": "../images/voi-477/shape_S5.png",
|
| 245 |
+
"S6": "../images/voi-477/shape_S6.png",
|
| 246 |
+
"S7": "../images/voi-477/shape_S7.png"
|
| 247 |
+
}
|
| 248 |
+
},
|
| 249 |
+
"ID": "voi-477",
|
| 250 |
+
"answer": {
|
| 251 |
+
"placements": [
|
| 252 |
+
{
|
| 253 |
+
"shape": "S3",
|
| 254 |
+
"angle": 180,
|
| 255 |
+
"vertex": "V2",
|
| 256 |
+
"grid": [
|
| 257 |
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5,
|
| 258 |
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6
|
| 259 |
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]
|
| 260 |
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},
|
| 261 |
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{
|
| 262 |
+
"shape": "S4",
|
| 263 |
+
"angle": 90,
|
| 264 |
+
"vertex": "V6",
|
| 265 |
+
"grid": [
|
| 266 |
+
4,
|
| 267 |
+
9
|
| 268 |
+
]
|
| 269 |
+
},
|
| 270 |
+
{
|
| 271 |
+
"shape": "S5",
|
| 272 |
+
"angle": 0,
|
| 273 |
+
"vertex": "V1",
|
| 274 |
+
"grid": [
|
| 275 |
+
0,
|
| 276 |
+
7
|
| 277 |
+
]
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"shape": "S7",
|
| 281 |
+
"angle": 270,
|
| 282 |
+
"vertex": "V1",
|
| 283 |
+
"grid": [
|
| 284 |
+
3,
|
| 285 |
+
8
|
| 286 |
+
]
|
| 287 |
+
}
|
| 288 |
+
]
|
| 289 |
+
},
|
| 290 |
+
"legacy_answer": "S3 180 V2 [5,6]\nS4 90 V6 [4,9]\nS5 0 V1 [0,7]\nS7 270 V1 [3,8]",
|
| 291 |
+
"solutionText": "S3 180 V2 [5,6]\nS4 90 V6 [4,9]\nS5 0 V1 [0,7]\nS7 270 V1 [3,8]",
|
| 292 |
+
"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-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."
|
| 295 |
+
}
|
| 296 |
+
}
|
voi/data/voi-478.json
ADDED
|
@@ -0,0 +1,304 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
2,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
2,
|
| 15 |
+
1
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
1,
|
| 19 |
+
1
|
| 20 |
+
],
|
| 21 |
+
"V5": [
|
| 22 |
+
1,
|
| 23 |
+
3
|
| 24 |
+
],
|
| 25 |
+
"V6": [
|
| 26 |
+
0,
|
| 27 |
+
3
|
| 28 |
+
]
|
| 29 |
+
},
|
| 30 |
+
"S2": {
|
| 31 |
+
"V1": [
|
| 32 |
+
0,
|
| 33 |
+
0
|
| 34 |
+
],
|
| 35 |
+
"V2": [
|
| 36 |
+
2,
|
| 37 |
+
0
|
| 38 |
+
],
|
| 39 |
+
"V3": [
|
| 40 |
+
2,
|
| 41 |
+
1
|
| 42 |
+
],
|
| 43 |
+
"V4": [
|
| 44 |
+
0,
|
| 45 |
+
1
|
| 46 |
+
]
|
| 47 |
+
},
|
| 48 |
+
"S3": {
|
| 49 |
+
"V1": [
|
| 50 |
+
0,
|
| 51 |
+
0
|
| 52 |
+
],
|
| 53 |
+
"V2": [
|
| 54 |
+
3,
|
| 55 |
+
0
|
| 56 |
+
],
|
| 57 |
+
"V3": [
|
| 58 |
+
3,
|
| 59 |
+
2
|
| 60 |
+
],
|
| 61 |
+
"V4": [
|
| 62 |
+
0,
|
| 63 |
+
2
|
| 64 |
+
]
|
| 65 |
+
},
|
| 66 |
+
"S4": {
|
| 67 |
+
"V1": [
|
| 68 |
+
0,
|
| 69 |
+
0
|
| 70 |
+
],
|
| 71 |
+
"V2": [
|
| 72 |
+
3,
|
| 73 |
+
0
|
| 74 |
+
],
|
| 75 |
+
"V3": [
|
| 76 |
+
3,
|
| 77 |
+
2
|
| 78 |
+
],
|
| 79 |
+
"V4": [
|
| 80 |
+
0,
|
| 81 |
+
2
|
| 82 |
+
]
|
| 83 |
+
},
|
| 84 |
+
"S5": {
|
| 85 |
+
"V1": [
|
| 86 |
+
0,
|
| 87 |
+
0
|
| 88 |
+
],
|
| 89 |
+
"V2": [
|
| 90 |
+
1,
|
| 91 |
+
0
|
| 92 |
+
],
|
| 93 |
+
"V3": [
|
| 94 |
+
1,
|
| 95 |
+
3
|
| 96 |
+
],
|
| 97 |
+
"V4": [
|
| 98 |
+
0,
|
| 99 |
+
3
|
| 100 |
+
]
|
| 101 |
+
},
|
| 102 |
+
"S6": {
|
| 103 |
+
"V1": [
|
| 104 |
+
0,
|
| 105 |
+
0
|
| 106 |
+
],
|
| 107 |
+
"V2": [
|
| 108 |
+
1,
|
| 109 |
+
0
|
| 110 |
+
],
|
| 111 |
+
"V3": [
|
| 112 |
+
1,
|
| 113 |
+
1
|
| 114 |
+
],
|
| 115 |
+
"V4": [
|
| 116 |
+
0,
|
| 117 |
+
1
|
| 118 |
+
]
|
| 119 |
+
},
|
| 120 |
+
"S7": {
|
| 121 |
+
"V1": [
|
| 122 |
+
0,
|
| 123 |
+
0
|
| 124 |
+
],
|
| 125 |
+
"V2": [
|
| 126 |
+
2,
|
| 127 |
+
0
|
| 128 |
+
],
|
| 129 |
+
"V3": [
|
| 130 |
+
2,
|
| 131 |
+
1
|
| 132 |
+
],
|
| 133 |
+
"V4": [
|
| 134 |
+
0,
|
| 135 |
+
1
|
| 136 |
+
]
|
| 137 |
+
}
|
| 138 |
+
},
|
| 139 |
+
"target": [
|
| 140 |
+
{
|
| 141 |
+
"polygon": [
|
| 142 |
+
[
|
| 143 |
+
2,
|
| 144 |
+
1
|
| 145 |
+
],
|
| 146 |
+
[
|
| 147 |
+
4,
|
| 148 |
+
1
|
| 149 |
+
],
|
| 150 |
+
[
|
| 151 |
+
4,
|
| 152 |
+
2
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
3,
|
| 156 |
+
2
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
3,
|
| 160 |
+
4
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
2,
|
| 164 |
+
4
|
| 165 |
+
]
|
| 166 |
+
]
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"polygon": [
|
| 170 |
+
[
|
| 171 |
+
2,
|
| 172 |
+
5
|
| 173 |
+
],
|
| 174 |
+
[
|
| 175 |
+
2,
|
| 176 |
+
2
|
| 177 |
+
],
|
| 178 |
+
[
|
| 179 |
+
4,
|
| 180 |
+
2
|
| 181 |
+
],
|
| 182 |
+
[
|
| 183 |
+
4,
|
| 184 |
+
5
|
| 185 |
+
]
|
| 186 |
+
]
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"polygon": [
|
| 190 |
+
[
|
| 191 |
+
2,
|
| 192 |
+
7
|
| 193 |
+
],
|
| 194 |
+
[
|
| 195 |
+
1,
|
| 196 |
+
7
|
| 197 |
+
],
|
| 198 |
+
[
|
| 199 |
+
1,
|
| 200 |
+
4
|
| 201 |
+
],
|
| 202 |
+
[
|
| 203 |
+
2,
|
| 204 |
+
4
|
| 205 |
+
]
|
| 206 |
+
]
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"polygon": [
|
| 210 |
+
[
|
| 211 |
+
4,
|
| 212 |
+
10
|
| 213 |
+
],
|
| 214 |
+
[
|
| 215 |
+
3,
|
| 216 |
+
10
|
| 217 |
+
],
|
| 218 |
+
[
|
| 219 |
+
3,
|
| 220 |
+
9
|
| 221 |
+
],
|
| 222 |
+
[
|
| 223 |
+
4,
|
| 224 |
+
9
|
| 225 |
+
]
|
| 226 |
+
]
|
| 227 |
+
}
|
| 228 |
+
],
|
| 229 |
+
"meta": {
|
| 230 |
+
"seed": 4207029,
|
| 231 |
+
"requiredShapeCount": 4,
|
| 232 |
+
"distractorShapeCount": 3,
|
| 233 |
+
"shapePoolComplexity": "medium",
|
| 234 |
+
"overlapAllowed": true,
|
| 235 |
+
"overlapRatio": 0.285714,
|
| 236 |
+
"contourComplexity": 14,
|
| 237 |
+
"connectedComponents": 2,
|
| 238 |
+
"fillRatio": 0.1,
|
| 239 |
+
"difficultyScore": 0.847143,
|
| 240 |
+
"rasterScale": 16,
|
| 241 |
+
"targetPackaging": "solution_xor_components",
|
| 242 |
+
"catalogIndex": 479,
|
| 243 |
+
"strictValidation": true
|
| 244 |
+
},
|
| 245 |
+
"imageAssets": {
|
| 246 |
+
"target": "../images/voi-478/target.png",
|
| 247 |
+
"shapes": {
|
| 248 |
+
"S1": "../images/voi-478/shape_S1.png",
|
| 249 |
+
"S2": "../images/voi-478/shape_S2.png",
|
| 250 |
+
"S3": "../images/voi-478/shape_S3.png",
|
| 251 |
+
"S4": "../images/voi-478/shape_S4.png",
|
| 252 |
+
"S5": "../images/voi-478/shape_S5.png",
|
| 253 |
+
"S6": "../images/voi-478/shape_S6.png",
|
| 254 |
+
"S7": "../images/voi-478/shape_S7.png"
|
| 255 |
+
}
|
| 256 |
+
},
|
| 257 |
+
"ID": "voi-478",
|
| 258 |
+
"answer": {
|
| 259 |
+
"placements": [
|
| 260 |
+
{
|
| 261 |
+
"shape": "S1",
|
| 262 |
+
"angle": 0,
|
| 263 |
+
"vertex": "V2",
|
| 264 |
+
"grid": [
|
| 265 |
+
4,
|
| 266 |
+
1
|
| 267 |
+
]
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"shape": "S4",
|
| 271 |
+
"angle": 90,
|
| 272 |
+
"vertex": "V4",
|
| 273 |
+
"grid": [
|
| 274 |
+
4,
|
| 275 |
+
5
|
| 276 |
+
]
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"shape": "S5",
|
| 280 |
+
"angle": 180,
|
| 281 |
+
"vertex": "V2",
|
| 282 |
+
"grid": [
|
| 283 |
+
1,
|
| 284 |
+
7
|
| 285 |
+
]
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"shape": "S6",
|
| 289 |
+
"angle": 180,
|
| 290 |
+
"vertex": "V3",
|
| 291 |
+
"grid": [
|
| 292 |
+
3,
|
| 293 |
+
9
|
| 294 |
+
]
|
| 295 |
+
}
|
| 296 |
+
]
|
| 297 |
+
},
|
| 298 |
+
"legacy_answer": "S1 0 V2 [4,1]\nS4 90 V4 [4,5]\nS5 180 V2 [1,7]\nS6 180 V3 [3,9]",
|
| 299 |
+
"solutionText": "S1 0 V2 [4,1]\nS4 90 V4 [4,5]\nS5 180 V2 [1,7]\nS6 180 V3 [3,9]",
|
| 300 |
+
"prompt": {
|
| 301 |
+
"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 |
+
}
|
voi/data/voi-479.json
ADDED
|
@@ -0,0 +1,320 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
1,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
1,
|
| 15 |
+
3
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
3
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
|
| 26 |
+
],
|
| 27 |
+
"V2": [
|
| 28 |
+
3,
|
| 29 |
+
0
|
| 30 |
+
],
|
| 31 |
+
"V3": [
|
| 32 |
+
3,
|
| 33 |
+
2
|
| 34 |
+
],
|
| 35 |
+
"V4": [
|
| 36 |
+
0,
|
| 37 |
+
2
|
| 38 |
+
]
|
| 39 |
+
},
|
| 40 |
+
"S3": {
|
| 41 |
+
"V1": [
|
| 42 |
+
0,
|
| 43 |
+
0
|
| 44 |
+
],
|
| 45 |
+
"V2": [
|
| 46 |
+
1,
|
| 47 |
+
0
|
| 48 |
+
],
|
| 49 |
+
"V3": [
|
| 50 |
+
1,
|
| 51 |
+
1
|
| 52 |
+
],
|
| 53 |
+
"V4": [
|
| 54 |
+
0,
|
| 55 |
+
1
|
| 56 |
+
]
|
| 57 |
+
},
|
| 58 |
+
"S4": {
|
| 59 |
+
"V1": [
|
| 60 |
+
0,
|
| 61 |
+
0
|
| 62 |
+
],
|
| 63 |
+
"V2": [
|
| 64 |
+
1,
|
| 65 |
+
0
|
| 66 |
+
],
|
| 67 |
+
"V3": [
|
| 68 |
+
1,
|
| 69 |
+
1
|
| 70 |
+
],
|
| 71 |
+
"V4": [
|
| 72 |
+
0,
|
| 73 |
+
1
|
| 74 |
+
]
|
| 75 |
+
},
|
| 76 |
+
"S5": {
|
| 77 |
+
"V1": [
|
| 78 |
+
0,
|
| 79 |
+
0
|
| 80 |
+
],
|
| 81 |
+
"V2": [
|
| 82 |
+
2,
|
| 83 |
+
0
|
| 84 |
+
],
|
| 85 |
+
"V3": [
|
| 86 |
+
2,
|
| 87 |
+
1
|
| 88 |
+
],
|
| 89 |
+
"V4": [
|
| 90 |
+
1,
|
| 91 |
+
1
|
| 92 |
+
],
|
| 93 |
+
"V5": [
|
| 94 |
+
1,
|
| 95 |
+
3
|
| 96 |
+
],
|
| 97 |
+
"V6": [
|
| 98 |
+
0,
|
| 99 |
+
3
|
| 100 |
+
]
|
| 101 |
+
},
|
| 102 |
+
"S6": {
|
| 103 |
+
"V1": [
|
| 104 |
+
0,
|
| 105 |
+
0
|
| 106 |
+
],
|
| 107 |
+
"V2": [
|
| 108 |
+
2,
|
| 109 |
+
0
|
| 110 |
+
],
|
| 111 |
+
"V3": [
|
| 112 |
+
2,
|
| 113 |
+
1
|
| 114 |
+
],
|
| 115 |
+
"V4": [
|
| 116 |
+
0,
|
| 117 |
+
1
|
| 118 |
+
]
|
| 119 |
+
},
|
| 120 |
+
"S7": {
|
| 121 |
+
"V1": [
|
| 122 |
+
0,
|
| 123 |
+
0
|
| 124 |
+
],
|
| 125 |
+
"V2": [
|
| 126 |
+
2,
|
| 127 |
+
0
|
| 128 |
+
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|
| 129 |
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"V3": [
|
| 130 |
+
2,
|
| 131 |
+
1
|
| 132 |
+
],
|
| 133 |
+
"V4": [
|
| 134 |
+
1,
|
| 135 |
+
1
|
| 136 |
+
],
|
| 137 |
+
"V5": [
|
| 138 |
+
1,
|
| 139 |
+
3
|
| 140 |
+
],
|
| 141 |
+
"V6": [
|
| 142 |
+
0,
|
| 143 |
+
3
|
| 144 |
+
]
|
| 145 |
+
}
|
| 146 |
+
},
|
| 147 |
+
"target": [
|
| 148 |
+
{
|
| 149 |
+
"polygon": [
|
| 150 |
+
[
|
| 151 |
+
3,
|
| 152 |
+
7
|
| 153 |
+
],
|
| 154 |
+
[
|
| 155 |
+
0,
|
| 156 |
+
7
|
| 157 |
+
],
|
| 158 |
+
[
|
| 159 |
+
0,
|
| 160 |
+
5
|
| 161 |
+
],
|
| 162 |
+
[
|
| 163 |
+
3,
|
| 164 |
+
5
|
| 165 |
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]
|
| 166 |
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]
|
| 167 |
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},
|
| 168 |
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{
|
| 169 |
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"polygon": [
|
| 170 |
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[
|
| 171 |
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7,
|
| 172 |
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6
|
| 173 |
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|
| 174 |
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[
|
| 175 |
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6,
|
| 176 |
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6
|
| 177 |
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],
|
| 178 |
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[
|
| 179 |
+
6,
|
| 180 |
+
5
|
| 181 |
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],
|
| 182 |
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[
|
| 183 |
+
7,
|
| 184 |
+
5
|
| 185 |
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]
|
| 186 |
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]
|
| 187 |
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},
|
| 188 |
+
{
|
| 189 |
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"polygon": [
|
| 190 |
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[
|
| 191 |
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4,
|
| 192 |
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5
|
| 193 |
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|
| 194 |
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[
|
| 195 |
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4,
|
| 196 |
+
7
|
| 197 |
+
],
|
| 198 |
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[
|
| 199 |
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3,
|
| 200 |
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7
|
| 201 |
+
],
|
| 202 |
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[
|
| 203 |
+
3,
|
| 204 |
+
6
|
| 205 |
+
],
|
| 206 |
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[
|
| 207 |
+
1,
|
| 208 |
+
6
|
| 209 |
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],
|
| 210 |
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[
|
| 211 |
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1,
|
| 212 |
+
5
|
| 213 |
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]
|
| 214 |
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]
|
| 215 |
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},
|
| 216 |
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{
|
| 217 |
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"polygon": [
|
| 218 |
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[
|
| 219 |
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6,
|
| 220 |
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4
|
| 221 |
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],
|
| 222 |
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[
|
| 223 |
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6,
|
| 224 |
+
6
|
| 225 |
+
],
|
| 226 |
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[
|
| 227 |
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5,
|
| 228 |
+
6
|
| 229 |
+
],
|
| 230 |
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[
|
| 231 |
+
5,
|
| 232 |
+
5
|
| 233 |
+
],
|
| 234 |
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[
|
| 235 |
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3,
|
| 236 |
+
5
|
| 237 |
+
],
|
| 238 |
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[
|
| 239 |
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3,
|
| 240 |
+
4
|
| 241 |
+
]
|
| 242 |
+
]
|
| 243 |
+
}
|
| 244 |
+
],
|
| 245 |
+
"meta": {
|
| 246 |
+
"seed": 4207030,
|
| 247 |
+
"requiredShapeCount": 4,
|
| 248 |
+
"distractorShapeCount": 3,
|
| 249 |
+
"shapePoolComplexity": "medium",
|
| 250 |
+
"overlapAllowed": true,
|
| 251 |
+
"overlapRatio": 0.266667,
|
| 252 |
+
"contourComplexity": 14,
|
| 253 |
+
"connectedComponents": 1,
|
| 254 |
+
"fillRatio": 0.11,
|
| 255 |
+
"difficultyScore": 0.653333,
|
| 256 |
+
"rasterScale": 16,
|
| 257 |
+
"targetPackaging": "solution_xor_components",
|
| 258 |
+
"catalogIndex": 480,
|
| 259 |
+
"strictValidation": true
|
| 260 |
+
},
|
| 261 |
+
"imageAssets": {
|
| 262 |
+
"target": "../images/voi-479/target.png",
|
| 263 |
+
"shapes": {
|
| 264 |
+
"S1": "../images/voi-479/shape_S1.png",
|
| 265 |
+
"S2": "../images/voi-479/shape_S2.png",
|
| 266 |
+
"S3": "../images/voi-479/shape_S3.png",
|
| 267 |
+
"S4": "../images/voi-479/shape_S4.png",
|
| 268 |
+
"S5": "../images/voi-479/shape_S5.png",
|
| 269 |
+
"S6": "../images/voi-479/shape_S6.png",
|
| 270 |
+
"S7": "../images/voi-479/shape_S7.png"
|
| 271 |
+
}
|
| 272 |
+
},
|
| 273 |
+
"ID": "voi-479",
|
| 274 |
+
"answer": {
|
| 275 |
+
"placements": [
|
| 276 |
+
{
|
| 277 |
+
"shape": "S2",
|
| 278 |
+
"angle": 180,
|
| 279 |
+
"vertex": "V3",
|
| 280 |
+
"grid": [
|
| 281 |
+
0,
|
| 282 |
+
5
|
| 283 |
+
]
|
| 284 |
+
},
|
| 285 |
+
{
|
| 286 |
+
"shape": "S4",
|
| 287 |
+
"angle": 180,
|
| 288 |
+
"vertex": "V1",
|
| 289 |
+
"grid": [
|
| 290 |
+
7,
|
| 291 |
+
6
|
| 292 |
+
]
|
| 293 |
+
},
|
| 294 |
+
{
|
| 295 |
+
"shape": "S5",
|
| 296 |
+
"angle": 270,
|
| 297 |
+
"vertex": "V4",
|
| 298 |
+
"grid": [
|
| 299 |
+
3,
|
| 300 |
+
6
|
| 301 |
+
]
|
| 302 |
+
},
|
| 303 |
+
{
|
| 304 |
+
"shape": "S7",
|
| 305 |
+
"angle": 270,
|
| 306 |
+
"vertex": "V5",
|
| 307 |
+
"grid": [
|
| 308 |
+
3,
|
| 309 |
+
5
|
| 310 |
+
]
|
| 311 |
+
}
|
| 312 |
+
]
|
| 313 |
+
},
|
| 314 |
+
"legacy_answer": "S2 180 V3 [0,5]\nS4 180 V1 [7,6]\nS5 270 V4 [3,6]\nS7 270 V5 [3,5]",
|
| 315 |
+
"solutionText": "S2 180 V3 [0,5]\nS4 180 V1 [7,6]\nS5 270 V4 [3,6]\nS7 270 V5 [3,5]",
|
| 316 |
+
"prompt": {
|
| 317 |
+
"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."
|
| 319 |
+
}
|
| 320 |
+
}
|
voi/data/voi-480.json
ADDED
|
@@ -0,0 +1,328 @@
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|
| 1 |
+
{
|
| 2 |
+
"gridSize": 10,
|
| 3 |
+
"inventory": {
|
| 4 |
+
"S1": {
|
| 5 |
+
"V1": [
|
| 6 |
+
0,
|
| 7 |
+
0
|
| 8 |
+
],
|
| 9 |
+
"V2": [
|
| 10 |
+
3,
|
| 11 |
+
0
|
| 12 |
+
],
|
| 13 |
+
"V3": [
|
| 14 |
+
3,
|
| 15 |
+
2
|
| 16 |
+
],
|
| 17 |
+
"V4": [
|
| 18 |
+
0,
|
| 19 |
+
2
|
| 20 |
+
]
|
| 21 |
+
},
|
| 22 |
+
"S2": {
|
| 23 |
+
"V1": [
|
| 24 |
+
0,
|
| 25 |
+
0
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| 26 |
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}
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],
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"meta": {
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"seed": 4207031,
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"requiredShapeCount": 4,
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"distractorShapeCount": 3,
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"shapePoolComplexity": "medium",
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"overlapAllowed": true,
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"overlapRatio": 0.235294,
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"contourComplexity": 23,
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"connectedComponents": 2,
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"fillRatio": 0.13,
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"difficultyScore": 0.988824,
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"rasterScale": 16,
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"targetPackaging": "solution_xor_components",
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"catalogIndex": 481,
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"strictValidation": true
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},
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"imageAssets": {
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"target": "../images/voi-480/target.png",
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"shapes": {
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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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"S5": "../images/voi-480/shape_S5.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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| 280 |
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},
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"ID": "voi-480",
|
| 282 |
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"answer": {
|
| 283 |
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"placements": [
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| 284 |
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{
|
| 285 |
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"shape": "S1",
|
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"angle": 270,
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"vertex": "V3",
|
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"grid": [
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]
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},
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{
|
| 294 |
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"shape": "S2",
|
| 295 |
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"angle": 0,
|
| 296 |
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"vertex": "V6",
|
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"grid": [
|
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5,
|
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7
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]
|
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},
|
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{
|
| 303 |
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"shape": "S3",
|
| 304 |
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"angle": 270,
|
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"vertex": "V6",
|
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|
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]
|
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},
|
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{
|
| 312 |
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"shape": "S5",
|
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|
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"vertex": "V3",
|
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]
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},
|
| 322 |
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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]",
|
| 323 |
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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]",
|
| 324 |
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"prompt": {
|
| 325 |
+
"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 |
+
}
|
| 328 |
+
}
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