task_id stringlengths 8 8 | view_idx int64 0 7 | split stringclasses 1
value | verified bool 2
classes | rule_name stringclasses 12
values | rule_correct_on_test bool 2
classes | format stringclasses 1
value | system stringclasses 1
value | prompt stringlengths 212 8.65k | completion stringlengths 535 1.76k | answer_grid listlengths 1 30 | view_name stringclasses 7
values |
|---|---|---|---|---|---|---|---|---|---|---|---|
00576224 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
79
43<|im_end|><|im_start|>assistant
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868686
646464<|im_end|><|im_start|>user
32
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| Analysis:
- 2 demonstration pairs; input 2x2 -> output 6x6 (output shape differs from input shape).
- Input background color: 3; cell counts input {7: 1, 9: 1, 4: 1, 3: 1} -> output {7: 9, 9: 9, 4: 9, 3: 9}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single ... | [
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007bbfb7 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
660
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404000404
000000000
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000040000<|im_end|><|... | Analysis:
- 5 demonstration pairs; input 3x3 -> output 9x9 (output shape differs from input shape).
- Input background color: 6; cell counts input {6: 5, 0: 4} -> output {6: 25, 0: 56}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single exact rule reproduces ... | [
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009d5c81 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
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00000000000000<|im_end|><|im_start|>assistant
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00... | Analysis:
- 5 demonstration pairs; input 14x14 -> output 14x14 (same shape in every pair).
- Input background color: 0; cell counts input {0: 159, 8: 31, 1: 6} -> output {0: 165, 7: 31}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no single ... | [
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00d62c1b | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
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0003430030
0000300000<|im_end|><|im_start|>user
0000000000
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0003... | Analysis:
- 5 demonstration pairs; input 10x10 -> output 10x10 (same shape in every pair).
- Input background color: 0; cell counts input {0: 71, 3: 29} -> output {0: 65, 3: 29, 4: 6}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no single ex... | [
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00dbd492 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000000222222222
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022222000000000<|im_end|><|im_start|>assistant
000000222222222
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... | Analysis:
- 4 demonstration pairs; input 15x15 -> output 15x15 (same shape in every pair).
- Input background color: 0; cell counts input {0: 175, 2: 50} -> output {0: 119, 2: 50, 3: 48, 8: 8}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no ... | [
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... | null |
017c7c7b | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
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020
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02... | Analysis:
- 3 demonstration pairs; input 6x3 -> output 9x3 (output shape differs from input shape).
- Input background color: 0; cell counts input {0: 9, 1: 9} -> output {0: 14, 2: 13}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single exact rule reproduces ... | [
[
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025d127b | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000000000
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000000000<|im_end|><|im_start|>assistant
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000000000
000000000<|im_end|><|im_start|>user
000000000
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060060000
006006000
000600600
000066600
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002002... | Analysis:
- 2 demonstration pairs; input 8x9 -> output 8x9 (same shape in every pair).
- Input background color: 0; cell counts input {0: 56, 8: 16} -> output {0: 56, 8: 16}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no single exact rule r... | [
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03560426 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
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0000000000
0000000000
0000000000<|im_end|><|im_start|>user
0000000000
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0000... | Analysis:
- 3 demonstration pairs; input 10x10 -> output 10x10 (same shape in every pair).
- Input background color: 0; cell counts input {0: 78, 8: 12, 7: 4, 2: 6} -> output {8: 11, 0: 80, 7: 3, 2: 6}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypoth... | [
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... | null |
045e512c | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000000000000000000000
000000000000000000000
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000000000000000000000
000000000000000000000
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000000000000000000000
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000000000201110400000
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000000000000000000000
000000000000000000000
000000000000000000000
00000000000000000... | Analysis:
- 3 demonstration pairs; input 21x21 -> output 21x21 (same shape in every pair).
- Input background color: 0; cell counts input {0: 433, 4: 2, 1: 5, 2: 1} -> output {0: 404, 4: 18, 2: 14, 1: 5}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypo... | [
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0520fde7 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
1105010
0015111
1105010<|im_end|><|im_start|>assistant
020
002
020<|im_end|><|im_start|>user
1005010
0105111
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000
020
000<|im_end|><|im_start|>user
0015000
1105101
0115101<|im_end|><|im_start|>assistant
000
200
002<|im_end|><|im_start|>user
1015101
0105101
1015010<... | Analysis:
- 3 demonstration pairs; input 3x7 -> output 3x3 (output shape differs from input shape).
- Input background color: 1; cell counts input {1: 10, 0: 8, 5: 3} -> output {0: 6, 2: 3}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single exact rule reprod... | [
[
2,
0,
2
],
[
0,
0,
0
],
[
0,
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0
]
] | null |
05269061 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0000000
0000000
0000001
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0000124
0001240
0012400<|im_end|><|im_start|>assistant
2412412
4124124
1241241
2412412
4124124
1241241
2412412<|im_end|><|im_start|>user
2830000
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3000000
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0000000
0000000
0000000<|im_end|><|im_start|>assistant
2832832
8328328
3283283
2832832
8328328
3283283... | Analysis:
- 3 demonstration pairs; input 7x7 -> output 7x7 (same shape in every pair).
- Input background color: 0; cell counts input {0: 37, 1: 5, 2: 4, 4: 3} -> output {2: 17, 4: 16, 1: 16}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no s... | [
[
2,
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1,
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[
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[
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],
[
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],
[
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[
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... | null |
05a7bcf2 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000000000800000000002000000000
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004400000800000000002000000000
004400000800000000002000000000
000000000800000000222000000000
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000000000800000000222000... | Analysis:
- 3 demonstration pairs; input 30x30 -> output 30x30 (same shape in every pair).
- Input background color: 0; cell counts input {0: 801, 8: 30, 2: 56, 4: 13} -> output {0: 623, 8: 173, 2: 56, 3: 13, 4: 35}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the gri... | [
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05f2a901 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0000000000
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0000000000<|im_end|><|im_start|>assistant
0000000000
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0000008800
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0000000000
0000000000<|im_end|><|im_start|>user
000000000
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00000000... | Analysis:
- 3 demonstration pairs; input 9x10 -> output 9x10 (same shape in every pair).
- Input background color: 0; cell counts input {0: 77, 2: 9, 8: 4} -> output {0: 77, 2: 9, 8: 4}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no single ... | [
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... | null |
0607ce86 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0300033000030000000000
0112330112331112330300
0113330112330112333030
0112330112330111330003
0133310112330112330000
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0112330112330112330000
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0112... | Analysis:
- 3 demonstration pairs; input 21x22 -> output 21x22 (same shape in every pair).
- Input background color: 0; cell counts input {0: 205, 3: 101, 1: 86, 2: 30, 8: 40} -> output {0: 237, 1: 72, 2: 36, 3: 72, 8: 45}.
- The input and output share their shape, so the rule edits cells in place rather than resizing ... | [
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0692e18c | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
006
060
600<|im_end|><|im_start|>assistant
000000660
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000660000
000606000
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660000000
606000000
066000000<|im_end|><|im_start|>user
070
777
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000707000<|im_end|><|... | Analysis:
- 3 demonstration pairs; input 3x3 -> output 9x9 (output shape differs from input shape).
- Input background color: 0; cell counts input {0: 6, 6: 3} -> output {0: 63, 6: 18}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single exact rule reproduces ... | [
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06df4c85 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
00100100100100100100100
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00100100199100100100199
11111111111111111111111
001001001001001... | Analysis:
- 3 demonstration pairs; input 23x23 -> output 23x23 (same shape in every pair).
- Input background color: 1; cell counts input {0: 224, 1: 273, 2: 8, 4: 4, 9: 8, 8: 12} -> output {0: 188, 1: 273, 2: 20, 4: 4, 9: 20, 8: 24}.
- The input and output share their shape, so the rule edits cells in place rather tha... | [
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070dd51e | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0000000000
0000000000
0004000000
0000000000
0030000300
0000000000
0000000000
0000000000
0070070000
0000000000
0004000000
0000000000
0000090000
0000000000
0800008000
0000000000
0000000000
0000000000
0000090000
0000000000<|im_end|><|im_start|>assistant
0000000000
0000000000
0004000000
0004000000
00343333... | Analysis:
- 2 demonstration pairs; input 20x10 -> output 20x10 (same shape in every pair).
- Input background color: 0; cell counts input {0: 190, 4: 2, 3: 2, 7: 2, 9: 2, 8: 2} -> output {0: 171, 4: 9, 3: 5, 7: 3, 9: 7, 8: 5}.
- The input and output share their shape, so the rule edits cells in place rather than resizi... | [
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08ed6ac7 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
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000005000
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050505... | Analysis:
- 2 demonstration pairs; input 9x9 -> output 9x9 (same shape in every pair).
- Input background color: 0; cell counts input {0: 62, 5: 19} -> output {0: 62, 1: 8, 2: 5, 3: 4, 4: 2}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no si... | [
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09629e4f | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
03050635062
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63050305003
00250645280
84052005406<|im_end|><|im_start|>assistant
00053335000
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00056665444
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22250005000
22250005000
22250005000<|im_end|... | Analysis:
- 4 demonstration pairs; input 11x11 -> output 11x11 (same shape in every pair).
- Input background color: 5; cell counts input {0: 37, 3: 9, 5: 40, 6: 9, 2: 9, 4: 9, 8: 8} -> output {0: 45, 5: 40, 3: 9, 6: 9, 4: 9, 2: 9}.
- The input and output share their shape, so the rule edits cells in place rather than ... | [
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... | null |
0962bcdd | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000000000000
000000000000
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008680000000
000800000000
000000000000
000000000000
000000000000
000000008000
000000086800
000000008000
000000000000<|im_end|><|im_start|>assistant
000000000000
060806000000
006860000000
088688000000
006860000000
060806000000
000000000000
000000608060
000000068600... | Analysis:
- 2 demonstration pairs; input 12x12 -> output 12x12 (same shape in every pair).
- Input background color: 0; cell counts input {0: 134, 8: 8, 6: 2} -> output {0: 110, 6: 18, 8: 16}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no s... | [
[
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[
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... | null |
09c534e7 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
00000000000000000000
00111100000000111100
00131100000000114100
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00001000000000111100
00111111000000001000
00111111011100011100
00111111111100011100
00111111011100011100
00000000000000000000
00000000000000000000
00000000000000000000
00000111100111000000
00000112111111000000
111001111... | Analysis:
- 3 demonstration pairs; input 20x20 -> output 20x20 (same shape in every pair).
- Input background color: 0; cell counts input {0: 276, 1: 121, 3: 1, 4: 1, 2: 1} -> output {0: 276, 1: 100, 3: 11, 4: 5, 2: 8}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the ... | [
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0a1d4ef5 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
020002080002020200280020800000
000333333000111111112882000000
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808333333222111111118089999988
280333333880111111110029999900
800333333002228888028209999900
000800800282002000000809999988
088800208000288000802020800880
000000000222002882002002008280
800000828280000002820000... | Analysis:
- 3 demonstration pairs; input 30x30 -> output 2x3 (output shape differs from input shape).
- Input background color: 0; cell counts input {0: 423, 2: 143, 8: 164, 3: 30, 1: 57, 9: 25, 6: 28, 4: 30} -> output {3: 1, 1: 2, 9: 1, 6: 1, 4: 1}.
- The output size changes, so the rule rescales, crops or extends the... | [
[
2,
3,
3
],
[
4,
7,
1
],
[
1,
3,
7
],
[
4,
6,
2
]
] | null |
0a2355a6 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
00000000088800
00888880080800
00800080088800
00888880080800
00000000088800
00000000080800
00000000088800
00000888000000
00088808000000
00080808000000
00088808008880
00000888008080
00000000008880
00000000000000<|im_end|><|im_start|>assistant
00000000022200
00111110020200
00100010022200
00111110020200
00... | Analysis:
- 4 demonstration pairs; input 14x14 -> output 14x14 (same shape in every pair).
- Input background color: 0; cell counts input {0: 141, 8: 55} -> output {0: 141, 2: 18, 1: 20, 3: 17}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no... | [
[
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[
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... | null |
0a938d79 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000000000
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200000000
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000000003
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000000000
000000000
000000000
000000000
000000000
000000000
000000000
000000000
000000000
000000000
000000000
000000000<|im_end|><|im_start|>assistant
000000000
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000000000
000000000
000000000
22... | Analysis:
- 4 demonstration pairs; input 22x9 -> output 22x9 (same shape in every pair).
- Input background color: 0; cell counts input {0: 196, 2: 1, 3: 1} -> output {0: 117, 2: 45, 3: 36}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no sin... | [
[
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0b148d64 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
2022220000202222002
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0022020000222022222
2020220000022222200
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0000000000000000000
0000000000000000000
0000000000000000000
0000000000000000000
0000000000000000000
2020002000033333033
0220022000333000330
0220020000333030300
2220022000330003333
200... | Analysis:
- 3 demonstration pairs; input 18x19 -> output 7x9 (output shape differs from input shape).
- Input background color: 0; cell counts input {2: 90, 0: 215, 3: 37} -> output {0: 26, 3: 37}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single exact rule... | [
[
1,
1,
1,
1,
0,
1
],
[
1,
0,
1,
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1,
1
],
[
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],
[
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],
[
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],
[
1,
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]
] | null |
0b17323b | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
100000000000000
000000000000000
000000000000000
000000000000000
000010000000000
000000000000000
000000000000000
000000000000000
000000001000000
000000000000000
000000000000000
000000000000000
000000000000000
000000000000000
000000000000000<|im_end|><|im_start|>assistant
100000000000000
000000000000000
... | Analysis:
- 2 demonstration pairs; input 15x15 -> output 15x15 (same shape in every pair).
- Input background color: 0; cell counts input {1: 3, 0: 222} -> output {1: 3, 0: 221, 2: 1}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no single ex... | [
[
1,
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],
[
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0bb8deee | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0000100000000
0000100000000
0000100300000
0000100033000
0000100030000
0220100000000
2220100000000
0200100000000
0000100000000
1111111111111
0000100000000
0050100000000
5550100808000
0500100080000
0000100800000<|im_end|><|im_start|>assistant
022300
222033
020030
005808
555080
050800<|im_end|><|im_start|... | Analysis:
- 3 demonstration pairs; input 15x13 -> output 6x6 (output shape differs from input shape).
- Input background color: 0; cell counts input {0: 149, 1: 27, 3: 4, 2: 6, 5: 5, 8: 4} -> output {0: 17, 2: 6, 3: 4, 5: 5, 8: 4}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rul... | [
[
0,
2,
2,
3,
3,
3
],
[
0,
2,
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3,
3
],
[
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2,
3,
0,
0
],
[
0,
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0
],
[
6,
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4,
0,
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],
[
6,
6,
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4,
0
]
] | null |
0becf7df | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
1300000000
2800001000
0000111000
0000111000
0033331800
0033208800
0000208800
0000200000
0000200000
0000000000<|im_end|><|im_start|>assistant
1300000000
2800003000
0000333000
0000333000
0011113200
0011802200
0000802200
0000800000
0000800000
0000000000<|im_end|><|im_start|>user
4200000000
3700004000
0000... | Analysis:
- 3 demonstration pairs; input 10x10 -> output 10x10 (same shape in every pair).
- Input background color: 0; cell counts input {1: 9, 3: 7, 0: 73, 2: 5, 8: 6} -> output {1: 7, 3: 9, 0: 73, 2: 6, 8: 5}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
R... | [
[
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],
[
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],
[
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],
[
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0,
4,
9,
9,
8,
0,
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],
[
... | null |
0c786b71 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
5599
9555
5757<|im_end|><|im_start|>assistant
75755757
55599555
99555599
99555599
55599555
75755757<|im_end|><|im_start|>user
6242
2266
6424<|im_end|><|im_start|>assistant
42466424
66222266
24266242
24266242
66222266
42466424<|im_end|><|im_start|>user
3355
5858
8858<|im_end|><|im_start|>assistant
85888... | Analysis:
- 3 demonstration pairs; input 3x4 -> output 6x8 (output shape differs from input shape).
- Input background color: 5; cell counts input {5: 7, 9: 3, 7: 2} -> output {7: 8, 5: 28, 9: 12}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single exact rule... | [
[
5,
8,
5,
5,
5,
5,
8,
5
],
[
8,
8,
7,
7,
7,
7,
8,
8
],
[
8,
7,
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8,
8,
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],
[
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8,
8,
5,
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],
[
8,
8,
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7,
7,
7,
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8
]... | null |
0c9aba6e | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0002
2000
0222
0002
2020
0220
7777
6066
6006
0666
6000
6006
0060<|im_end|><|im_start|>assistant
0800
0880
8000
0880
0800
8008<|im_end|><|im_start|>user
2202
2022
2200
0202
0220
2002
7777
6066
0600
0000
0006
6600
6060<|im_end|><|im_start|>assistant
0000
0000
0088
8080
0008
0800<|im_end|><|im_start|>user... | Analysis:
- 4 demonstration pairs; input 13x4 -> output 6x4 (output shape differs from input shape).
- Input background color: 0; cell counts input {0: 26, 2: 10, 7: 4, 6: 12} -> output {0: 15, 8: 9}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single exact r... | [
[
0,
0,
8,
0
],
[
0,
0,
0,
8
],
[
0,
8,
8,
0
],
[
0,
0,
0,
0
],
[
0,
8,
0,
0
],
[
8,
8,
0,
0
]
] | null |
0ca9ddb6 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000800000
000000000
000000200
001000000
000000000
000000000
000000100
020000000
000000000<|im_end|><|im_start|>assistant
000800000
000004040
007000200
071704040
007000000
000000700
404007170
020000700
404000000<|im_end|><|im_start|>user
000000000
000000000
000000000
002000000
000000000
000000000
000000... | Analysis:
- 3 demonstration pairs; input 9x9 -> output 9x9 (same shape in every pair).
- Input background color: 0; cell counts input {0: 76, 8: 1, 2: 2, 1: 2} -> output {0: 60, 8: 1, 4: 8, 7: 8, 2: 2, 1: 2}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule ... | [
[
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
7,
0,
0
],
[
0,
4,
0,
4,
0,
7,
1,
7,
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],
[
0,
0,
2,
0,
0,
0,
7,
0,
0
],
[
0,
4,
0,
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... | null |
0d3d703e | 0 | training | true | geom_identity_remap | true | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
586
586
586<|im_end|><|im_start|>assistant
192
192
192<|im_end|><|im_start|>user
238
238
238<|im_end|><|im_start|>assistant
649
649
649<|im_end|><|im_start|>user
942
942
942<|im_end|><|im_start|>assistant
836
836
836<|im_end|><|im_start|>user
312
312
312<|im_end|><|im_start|>assistant
456
456
456<|im_e... | Analysis:
- 4 demonstration pairs; input 3x3 -> output 3x3 (same shape in every pair).
- Colors present: input [1, 2, 3, 4, 5, 6, 8, 9], output [1, 2, 3, 4, 5, 6, 8, 9].
Rule hypothesis: apply the geometric transform 'identity' and remap colors (1->5, 2->6, 3->4, 4->3, 5->1, 6->2, 8->9, 9->8).
Verification:
- demonstra... | [
[
9,
5,
4
],
[
9,
5,
4
],
[
9,
5,
4
]
] | null |
0d3d703e | 1 | training | true | geom_identity_remap | true | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
666
888
555<|im_end|><|im_start|>assistant
222
999
111<|im_end|><|im_start|>user
888
333
222<|im_end|><|im_start|>assistant
999
444
666<|im_end|><|im_start|>user
222
444
999<|im_end|><|im_start|>assistant
666
333
888<|im_end|><|im_start|>user
222
111
333<|im_end|><|im_start|>assistant
666
555
444<|im_e... | Analysis:
- 4 demonstration pairs; input 3x3 -> output 3x3 (same shape in every pair).
- Colors present: input [1, 2, 3, 4, 5, 6, 8, 9], output [1, 2, 3, 4, 5, 6, 8, 9].
Rule hypothesis: apply the geometric transform 'identity' and remap colors (1->5, 2->6, 3->4, 4->3, 5->1, 6->2, 8->9, 9->8).
Verification:
- demonstra... | [
[
4,
4,
4
],
[
5,
5,
5
],
[
9,
9,
9
]
] | rot90 |
0d3d703e | 2 | training | true | geom_identity_remap | true | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
685
685
685<|im_end|><|im_start|>assistant
291
291
291<|im_end|><|im_start|>user
832
832
832<|im_end|><|im_start|>assistant
946
946
946<|im_end|><|im_start|>user
249
249
249<|im_end|><|im_start|>assistant
638
638
638<|im_end|><|im_start|>user
213
213
213<|im_end|><|im_start|>assistant
654
654
654<|im_e... | Analysis:
- 4 demonstration pairs; input 3x3 -> output 3x3 (same shape in every pair).
- Colors present: input [1, 2, 3, 4, 5, 6, 8, 9], output [1, 2, 3, 4, 5, 6, 8, 9].
Rule hypothesis: apply the geometric transform 'identity' and remap colors (1->5, 2->6, 3->4, 4->3, 5->1, 6->2, 8->9, 9->8).
Verification:
- demonstra... | [
[
4,
5,
9
],
[
4,
5,
9
],
[
4,
5,
9
]
] | rot180 |
0d3d703e | 3 | training | true | geom_identity_remap | true | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
555
888
666<|im_end|><|im_start|>assistant
111
999
222<|im_end|><|im_start|>user
222
333
888<|im_end|><|im_start|>assistant
666
444
999<|im_end|><|im_start|>user
999
444
222<|im_end|><|im_start|>assistant
888
333
666<|im_end|><|im_start|>user
333
111
222<|im_end|><|im_start|>assistant
444
555
666<|im_e... | Analysis:
- 4 demonstration pairs; input 3x3 -> output 3x3 (same shape in every pair).
- Colors present: input [1, 2, 3, 4, 5, 6, 8, 9], output [1, 2, 3, 4, 5, 6, 8, 9].
Rule hypothesis: apply the geometric transform 'identity' and remap colors (1->5, 2->6, 3->4, 4->3, 5->1, 6->2, 8->9, 9->8).
Verification:
- demonstra... | [
[
9,
9,
9
],
[
5,
5,
5
],
[
4,
4,
4
]
] | rot270 |
0d3d703e | 4 | training | true | geom_identity_remap | true | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
685
685
685<|im_end|><|im_start|>assistant
291
291
291<|im_end|><|im_start|>user
832
832
832<|im_end|><|im_start|>assistant
946
946
946<|im_end|><|im_start|>user
249
249
249<|im_end|><|im_start|>assistant
638
638
638<|im_end|><|im_start|>user
213
213
213<|im_end|><|im_start|>assistant
654
654
654<|im_e... | Analysis:
- 4 demonstration pairs; input 3x3 -> output 3x3 (same shape in every pair).
- Colors present: input [1, 2, 3, 4, 5, 6, 8, 9], output [1, 2, 3, 4, 5, 6, 8, 9].
Rule hypothesis: apply the geometric transform 'identity' and remap colors (1->5, 2->6, 3->4, 4->3, 5->1, 6->2, 8->9, 9->8).
Verification:
- demonstra... | [
[
4,
5,
9
],
[
4,
5,
9
],
[
4,
5,
9
]
] | fliph |
0d3d703e | 5 | training | true | geom_identity_remap | true | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
586
586
586<|im_end|><|im_start|>assistant
192
192
192<|im_end|><|im_start|>user
238
238
238<|im_end|><|im_start|>assistant
649
649
649<|im_end|><|im_start|>user
942
942
942<|im_end|><|im_start|>assistant
836
836
836<|im_end|><|im_start|>user
312
312
312<|im_end|><|im_start|>assistant
456
456
456<|im_e... | Analysis:
- 4 demonstration pairs; input 3x3 -> output 3x3 (same shape in every pair).
- Colors present: input [1, 2, 3, 4, 5, 6, 8, 9], output [1, 2, 3, 4, 5, 6, 8, 9].
Rule hypothesis: apply the geometric transform 'identity' and remap colors (1->5, 2->6, 3->4, 4->3, 5->1, 6->2, 8->9, 9->8).
Verification:
- demonstra... | [
[
9,
5,
4
],
[
9,
5,
4
],
[
9,
5,
4
]
] | flipv |
0d3d703e | 6 | training | true | geom_identity_remap | true | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
555
888
666<|im_end|><|im_start|>assistant
111
999
222<|im_end|><|im_start|>user
222
333
888<|im_end|><|im_start|>assistant
666
444
999<|im_end|><|im_start|>user
999
444
222<|im_end|><|im_start|>assistant
888
333
666<|im_end|><|im_start|>user
333
111
222<|im_end|><|im_start|>assistant
444
555
666<|im_e... | Analysis:
- 4 demonstration pairs; input 3x3 -> output 3x3 (same shape in every pair).
- Colors present: input [1, 2, 3, 4, 5, 6, 8, 9], output [1, 2, 3, 4, 5, 6, 8, 9].
Rule hypothesis: apply the geometric transform 'identity' and remap colors (1->5, 2->6, 3->4, 4->3, 5->1, 6->2, 8->9, 9->8).
Verification:
- demonstra... | [
[
9,
9,
9
],
[
5,
5,
5
],
[
4,
4,
4
]
] | transpose |
0d3d703e | 7 | training | true | geom_identity_remap | true | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
666
888
555<|im_end|><|im_start|>assistant
222
999
111<|im_end|><|im_start|>user
888
333
222<|im_end|><|im_start|>assistant
999
444
666<|im_end|><|im_start|>user
222
444
999<|im_end|><|im_start|>assistant
666
333
888<|im_end|><|im_start|>user
222
111
333<|im_end|><|im_start|>assistant
666
555
444<|im_e... | Analysis:
- 4 demonstration pairs; input 3x3 -> output 3x3 (same shape in every pair).
- Colors present: input [1, 2, 3, 4, 5, 6, 8, 9], output [1, 2, 3, 4, 5, 6, 8, 9].
Rule hypothesis: apply the geometric transform 'identity' and remap colors (1->5, 2->6, 3->4, 4->3, 5->1, 6->2, 8->9, 9->8).
Verification:
- demonstra... | [
[
4,
4,
4
],
[
5,
5,
5
],
[
9,
9,
9
]
] | antitranspose |
0d87d2a6 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
00000010000000000000
00000000000000000000
00022222000000222200
00022222000000222200
00022222000000000000
00022222022200002222
00000000022200002222
00220000022200002222
00220000000000000000
00000010000000000000<|im_end|><|im_start|>assistant
00000010000000000000
00000010000000000000
00011111000000222200... | Analysis:
- 3 demonstration pairs; input 10x20 -> output 10x20 (same shape in every pair).
- Input background color: 0; cell counts input {0: 145, 1: 2, 2: 53} -> output {0: 141, 1: 26, 2: 33}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no ... | [
[
0,
0,
0,
0,
0,
1,
0,
0,
0,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
1,
0,
0,
0,
1,
1,
1,
0,
0,
0,
0,
0,
0,
0... | null |
0e206a2e | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000000000000000
000000000000000
000000000000000
000020000000000
000433000000000
000030000000000
000030000000000
000030000000000
000313000000000
000000000000000
000000000000040
000000000100002
000000000000000
000000000000000<|im_end|><|im_start|>assistant
000000000000000
000000000000000
000000000000000
... | Analysis:
- 3 demonstration pairs; input 14x15 -> output 14x15 (same shape in every pair).
- Input background color: 0; cell counts input {0: 197, 2: 2, 4: 2, 3: 7, 1: 2} -> output {0: 200, 3: 7, 4: 1, 1: 1, 2: 1}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.... | [
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
... | null |
0e671a1a | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0000000000000
0400000000000
0000000000000
0000000000000
0000000000030
0000000000000
0000000000000
0000000000000
0000000000000
0000000000000
0000020000000
0000000000000
0000000000000<|im_end|><|im_start|>assistant
0000000000000
0455555555550
0500000000050
0500000000050
0500000000030
0500000000000
050000... | Analysis:
- 4 demonstration pairs; input 13x13 -> output 13x13 (same shape in every pair).
- Input background color: 0; cell counts input {0: 166, 4: 1, 3: 1, 2: 1} -> output {0: 142, 4: 1, 5: 24, 3: 1, 2: 1}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule... | [
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
5,
5,
5,
4,
0,
0
],
[
0,
0,
... | null |
0f63c0b9 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000000000000000
000000000000000
000000000000000
000000200000000
000000000000000
000000000000000
000000000000000
000000007000000
000000000000000
000000000000000
000000000000000
000000000000000
000800000000000
000000000000000
000000000000000<|im_end|><|im_start|>assistant
222222222222222
200000000000002
... | Analysis:
- 4 demonstration pairs; input 15x15 -> output 15x15 (same shape in every pair).
- Input background color: 0; cell counts input {0: 222, 2: 1, 7: 1, 8: 1} -> output {2: 38, 0: 130, 7: 21, 8: 36}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hyp... | [
[
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8
],
[
8,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
8
],
[
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
8,
... | null |
103eff5b | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000000000000
000000000000
000000000000
000031000000
000430000000
000204000000
000000000000
000000000000
000000000000
000000000000
088888800000
088888800000
088888800000
000088888800
000088888800
000088888800
088800088800
088800088800
088800088800
000000000000
000000000000
000000000000<|im_end|><|im_sta... | Analysis:
- 2 demonstration pairs; input 22x12 -> output 22x12 (same shape in every pair).
- Input background color: 0; cell counts input {0: 204, 3: 2, 1: 1, 4: 2, 2: 1, 8: 54} -> output {0: 204, 3: 20, 1: 10, 4: 20, 2: 10}.
- The input and output share their shape, so the rule edits cells in place rather than resizin... | [
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0,
0... | null |
10fcaaa3 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
000
040
000
000
400<|im_end|><|im_start|>assistant
808808
040040
808808
088080
400400
888888
040040
808808
088080
400400<|im_end|><|im_start|>user
0060
0000
0600<|im_end|><|im_start|>assistant
00600060
88888888
06080608
80608060
88888888
06000600<|im_end|><|im_start|>user
0000
0200
0000
0000<|im_end|><... | Analysis:
- 4 demonstration pairs; input 5x3 -> output 10x6 (output shape differs from input shape).
- Input background color: 0; cell counts input {0: 13, 4: 2} -> output {8: 24, 0: 28, 4: 8}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single exact rule rep... | [
[
0,
3,
0,
0,
0,
0,
3,
0,
0,
0
],
[
8,
0,
8,
0,
0,
8,
0,
8,
0,
0
],
[
0,
0,
8,
0,
8,
0,
0,
8,
0,
8
],
[
0,
0,
0,
3,
0,
0,
0,
0,
3,
0
],
[
... | null |
11852cab | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0000000000
0000000000
0020300000
0004040000
0030403000
0004040000
0000300000
0000000000
0000000000
0000000000<|im_end|><|im_start|>assistant
0000000000
0000000000
0020302000
0004040000
0030403000
0004040000
0020302000
0000000000
0000000000
0000000000<|im_end|><|im_start|>user
0000000000
0030800000
0002... | Analysis:
- 3 demonstration pairs; input 10x10 -> output 10x10 (same shape in every pair).
- Input background color: 0; cell counts input {0: 90, 2: 1, 3: 4, 4: 5} -> output {0: 87, 2: 4, 3: 4, 4: 5}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothes... | [
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
0,
0,
0,
0,
0,
0,
0,
0,
0
],
[
0,
1,
0,
4,
0,
1,
0,
0,
0,
0
],
[
0,
0,
2,
0,
2,
0,
0,
0,
0,
0
],
[
... | null |
1190bc91 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0000660000
0000000000
0000000000
0002379518
4000000000
4000000000
0000000000
0000000000
0000000000
0000000000<|im_end|><|im_start|>assistant
2366662379
4236623795
4423237951
4442379518
4423237951
4230023795
2300002379
3000000237
0000000023
0000000002<|im_end|><|im_start|>user
0000770000
0000000000
0000... | Analysis:
- 3 demonstration pairs; input 10x10 -> output 10x10 (same shape in every pair).
- Input background color: 0; cell counts input {0: 89, 6: 2, 2: 1, 3: 1, 7: 1, 9: 1, 5: 1, 1: 1, 8: 1, 4: 2} -> output {2: 16, 3: 16, 6: 6, 7: 8, 9: 7, 4: 9, 5: 5, 1: 3, 8: 1, 0: 29}.
- The input and output share their shape, so ... | [
[
9,
9,
9,
9,
9,
2,
4,
7
],
[
2,
9,
9,
9,
2,
4,
7,
7
],
[
4,
2,
9,
2,
4,
7,
7,
7
],
[
0,
4,
2,
4,
7,
7,
7,
7
],
[
0,
2,
4,
2,
7,
7,
7,
7
]... | null |
1190e5a7 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
11118111111
11118111111
11118111111
88888888888
11118111111
11118111111
11118111111
11118111111
11118111111
88888888888
11118111111<|im_end|><|im_start|>assistant
11
11
11<|im_end|><|im_start|>user
373333333373373
373333333373373
777777777777777
373333333373373
373333333373373
373333333373373
373333333... | Analysis:
- 3 demonstration pairs; input 11x11 -> output 3x2 (output shape differs from input shape).
- Input background color: 1; cell counts input {1: 90, 8: 31} -> output {1: 6}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single exact rule reproduces all ... | [
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
],
[
1,
1,
1
]
] | null |
11dc524f | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
7777777777777
7777777777777
7777777777777
7777777777777
7777777777777
2777777777777
7277557777777
2277557777777
7777777777777
7777777777777
7777777777777
7777777777777
7777777777777<|im_end|><|im_start|>assistant
7777777777777
7777777777777
7777777777777
7777777777777
7777777777777
7727757777777
777257... | Analysis:
- 3 demonstration pairs; input 13x13 -> output 13x13 (same shape in every pair).
- Input background color: 7; cell counts input {7: 161, 2: 4, 5: 4} -> output {7: 161, 2: 4, 5: 4}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no sin... | [
[
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7
],
[
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7
],
[
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7,
7
],
[
7,
7,
... | null |
11e1fe23 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
00000000000
00000000000
00000000000
00000000200
00000000000
00000000000
00000000000
00000000000
00000000000
00800000600
00000000000
00000000000<|im_end|><|im_start|>assistant
00000000000
00000000000
00000000000
00000000200
00000000000
00000020000
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00000000000
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00000000... | Analysis:
- 2 demonstration pairs; input 12x11 -> output 12x11 (same shape in every pair).
- Input background color: 0; cell counts input {0: 129, 2: 1, 8: 1, 6: 1} -> output {0: 125, 2: 2, 5: 1, 8: 2, 6: 2}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule ... | [
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12422b43 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
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000880<|im_end|><|im_start|>user
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0000000<... | Analysis:
- 5 demonstration pairs; input 13x6 -> output 13x6 (same shape in every pair).
- Input background color: 0; cell counts input {5: 4, 0: 64, 3: 4, 2: 2, 8: 4} -> output {5: 4, 0: 48, 3: 12, 2: 6, 8: 8}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Ru... | [
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... | null |
12997ef3 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
00000000000
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00000000000<|im_end|><|im_start|>assistant
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... | Analysis:
- 4 demonstration pairs; input 11x11 -> output 6x3 (output shape differs from input shape).
- Input background color: 0; cell counts input {0: 115, 6: 1, 1: 4, 2: 1} -> output {0: 10, 6: 4, 2: 4}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule hypothesis: no single e... | [
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[
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[
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],
[
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[
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],
[
0,
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[
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],
[
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],... | null |
12eac192 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
17710805
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01000011
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37710303
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33007777
03000011
30303011<|im_end|><|im_start|>user
00181110
15171100
08077788
08800080
07008550
10000001
10877800
00877088
08808088<|im_end|><|im_start|>assistant
00331110
33371100
08077788
08800080
03003330... | Analysis:
- 4 demonstration pairs; input 5x8 -> output 5x8 (same shape in every pair).
- Input background color: 0; cell counts input {1: 12, 7: 8, 0: 14, 8: 4, 5: 2} -> output {3: 11, 7: 8, 1: 7, 0: 14}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypo... | [
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[
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[
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[
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]... | null |
13713586 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
00000000000000005
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00000000000000005
00000000000000005
00000000000000005
00000000000000005
00000000000000005<|im_end|><|im_s... | Analysis:
- 3 demonstration pairs; input 16x17 -> output 16x17 (same shape in every pair).
- Input background color: 0; cell counts input {0: 246, 5: 16, 2: 2, 3: 4, 7: 4} -> output {0: 160, 5: 16, 2: 10, 3: 40, 7: 46}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the ... | [
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[
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... | null |
137eaa0f | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
00000000000
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00000000000<|im_end|><|im_start|>assistant
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757
333<|im_end|><|im_start|>user
00000000000
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00050005000
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00000000000
00000000000
00000000000
00000070000
000005... | Analysis:
- 3 demonstration pairs; input 11x11 -> output 3x3 (output shape differs from input shape).
- Input background color: 0; cell counts input {0: 109, 6: 1, 5: 4, 7: 2, 2: 2, 3: 3} -> output {6: 1, 2: 2, 7: 2, 5: 1, 3: 3}.
- The output size changes, so the rule rescales, crops or extends the input pattern.
Rule ... | [
[
4,
9,
8
],
[
9,
5,
4
],
[
9,
2,
2
]
] | null |
137f0df0 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
0055005500
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0000000000
0055005500
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0000000000
0055005500
0055005500
0000000000
0000000000<|im_end|><|im_start|>assistant
0055225500
0055225500
1122222211
0055225500
0055225500
1122222211
0055225500
0055225500
0000110000
0000110000<|im_end|><|im_start|>user
5505505500
5505505500
0000... | Analysis:
- 3 demonstration pairs; input 10x10 -> output 10x10 (same shape in every pair).
- Input background color: 0; cell counts input {0: 76, 5: 24} -> output {0: 40, 5: 24, 2: 24, 1: 12}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no s... | [
[
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],
[
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],
[
... | null |
13f06aa5 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
22222222222222
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22422222222222
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24822222222222
24422222222222
22422222222222
22222222222222<|im_end|><|im_start|>assistant
11111111111110
22222222212228
22222222222228
22222224414428
22222222444228
22222222222228
22... | Analysis:
- 3 demonstration pairs; input 12x14 -> output 12x14 (same shape in every pair).
- Input background color: 2; cell counts input {2: 152, 4: 14, 1: 1, 8: 1} -> output {1: 15, 0: 1, 2: 121, 8: 17, 4: 14}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
R... | [
[
0,
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8,
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[
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[
1,
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... | null |
140c817e | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
999999999
999999999
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999999999
999999999
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999999999
999999999<|im_end|><|im_start|>assistant
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111111211
999193139
999199199<|im_end|><|im_start|>user
8888888888888
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8888888888888
8818888888888
8888888888... | Analysis:
- 3 demonstration pairs; input 9x9 -> output 9x9 (same shape in every pair).
- Input background color: 9; cell counts input {9: 79, 1: 2} -> output {9: 41, 1: 30, 3: 8, 2: 2}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothesis: no single e... | [
[
8,
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1,
8,
1,
8,
8,
1,
8,
8,
8,
8,
8,
1
],
[
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1,
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[
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],
... | null |
14754a24 | 0 | training | false | null | null | cot | You are an expert ARC puzzle solver. Analyze the demonstration pairs, state the transformation rule, verify it against every demonstration, then apply it to the test input. End your reply with the final grid after 'Answer:' on its own line, rows space-separated digits, one row per line. | <|im_start|>user
055400000005555
004005545005055
505000445055505
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550505000550050
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554050500505055
545405504545050
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000500000000505
050050500550500
000005055000005
050055550505000<|im_end|><|im_start|>assistant
022400000005555
004005545005055
505000442055505
... | Analysis:
- 4 demonstration pairs; input 14x15 -> output 14x15 (same shape in every pair).
- Input background color: 0; cell counts input {0: 110, 5: 88, 4: 12} -> output {0: 110, 2: 7, 4: 12, 5: 81}.
- The input and output share their shape, so the rule edits cells in place rather than resizing the grid.
Rule hypothes... | [
[
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2,
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0,
5,
0,
2,
2,
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],
[
0,
5,
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0,
5,
4,
2,
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5,
0,
5,
5,
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4,
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[
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... | null |
End of preview. Expand in Data Studio
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
ARC-AGI-2 CoT-Solving SFT Dataset
Companion to Nabidnur/arc-agi-2-grids.
Grid-based chain-of-thought transcripts for the ARC-AGI-2 Kaggle competition,
NVARC format compatible (Qwen chat template, {" "}-separated digit rows).
Tiers
- program-verified — a transformation rule fitted ONLY on the demonstrations
reproduces all of them exactly (
verified=true). Hypothesis + per-pair verification + application. - program-true (synthetic) — rules from generator ancestry, re-verified by an
independent refit (
verified=true). - analysis-only — no exact rule found; honest observations + committed
ground-truth answer (
verified=false).
Contents
| file | rows | note |
|---|---|---|
train/train_cot.jsonl |
1168 | canonical + per-view re-fitted dihedral views (train only) |
evaluation/eval_cot.jsonl |
120 | benchmark only — never train on eval |
synthetic/synthetic_cot.jsonl |
5232 | synthetic curriculum v0+v1, program-true |
sft/cot_sequences.jsonl.gz |
6400 | TRL-ready prompt/completion, CoT mode (system prompt) |
Train stats
- train verified: 194 (rule wrong on test: 6)
- train analysis-only: 974
- eval verified: 2 / analysis: 118
Format contract
- CoT rows carry a
systemmessage; the assistant reply ends withAnswer:\n<grid>where<grid>is NVARC text (space-separated digits, one row per line) — parseable by the same decoder used for plain format. - Plain-mode rows (no system message) live in
Nabidnur/arc-agi-2-gridssft/train_sft128.jsonl.gz.
Safety / leakage boundaries
- Evaluation split is benchmark-only.
- No public test outputs anywhere in this repo (test inputs are hidden by the competition; nothing was derived from them).
- Verified rules are fitted on demonstrations only, never keyed by task ID.
Provenance
- solvers:
scripts/arc_rules.py(8 geometry ops + 6 rule families, train-pair verified) - primitives:
arc_agi_lib/primitives.py(symmetry-fill / hole-recolor / path-propagation, demo-fitted) - synthetic: generators in
datasets_build/gen_synthetic.pywith ancestry records
- Downloads last month
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