instruction stringlengths 33 157 | input stringlengths 13 2.88k | output stringlengths 1 783 | arc_task stringlengths 145 9.11k ⌀ | test_index int64 0 1 ⌀ | earlier_output stringclasses 1
value | benchmark stringclasses 192
values |
|---|---|---|---|---|---|---|
Simon-Solve-V1 'O4T' predict the raw pixels | I0
13 13 3f5a3232,2b5h9,3b5h9,,,,2b5h9,3b5h9,,a323h9,32a3h9,a323h9,32a3h9
O0
13 13 3f7d3,,,,,,,,,3,,,
I1
12 6 5,,i9a5,,,i9a2
O1
12 6 7,,,,,3
I2
6 9 d53,,,,,,,a5c9,a3c9
O2
6 9 d73,,,,,,,,3
I3T
15 15 a232b32f5,f32f5,23a23232f5,a32a3232f5,b32a323f5,2c32a3d595,a2c323d595,2a323a23d595,23b2323d595,2a32b32d595,2d323d595,a232d... | 377777
377777
377777
377777
377777
377777
377777
377777
377777
377777
333333
333333
333333
333333
333333 | {"train":[{"input":[[3,5,5,5,5,5,5,5,3,3,2,3,2],[2,5,5,5,9,9,9,9,9,9,9,9,9],[3,5,5,5,9,9,9,9,9,9,9,9,9],[3,5,5,5,9,9,9,9,9,9,9,9,9],[3,5,5,5,9,9,9,9,9,9,9,9,9],[3,5,5,5,9,9,9,9,9,9,9,9,9],[2,5,5,5,9,9,9,9,9,9,9,9,9],[3,5,5,5,9,9,9,9,9,9,9,9,9],[3,5,5,5,9,9,9,9,9,9,9,9,9],[3,3,2,3,9,9,9,9,9,9,9,9,9],[3,2,3,3,9,9,9,9,9,9... | 1 | dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONSOLVEVERSION1, O4T, predict pixels | I0
2 4 9,,94,9
O0
1 2 9,
I1
4 6 a835,8b5,9a15,a9a1,a1a8,
O1
2 3 85,91,18
I2
6 2 657279,a5c7
O2
3 1 5a7
I3T
2 2 7,07
O3T
None
I4T
2 6 0,,8,,,
O4T
None | 0
8
8 | {"train":[{"input":[[9,9],[9,9],[9,4],[9,9]],"output":[[9],[9]]},{"input":[[8,8,3,5],[8,5,5,5],[9,1,1,5],[9,9,1,1],[1,1,8,8],[1,1,8,8]],"output":[[8,5],[9,1],[1,8]]},{"input":[[6,5,7,2,7,9],[5,5,7,7,7,7]],"output":[[5,7,7]]}],"test":[{"input":[[7,7],[0,7]],"output":[[7]]},{"input":[[0,0],[0,0],[8,8],[8,8],[8,8],[8,8]],... | 1 | dataset=solve_scale group=scale_x2down_y2down_noiserandom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
simon-solve-v1 predict raw pixels for 'O3T' | I0
13 3 a47a4a7a4a5a3,7d87a4a374,47a4b83d4
O0
13 3 d43b8a474,47a3a47d87,a3a5a4a7a47a4
I1
3 2 684,086
O1
3 2 680,486
I2T
2 7 26,,39,09,39,78,28
O2T
None
I3T
7 9 e46,a6c49,,a6b494,46b496,b6a464,b549a6,6a594a6,a465464
O3T
None | 4645644
6649556
6694555
4644666
6944464
4944466
9444466
9444466
6444444 | {"train":[{"input":[[4,4,7,4,4,7,7,4,4,5,5,3,3],[7,8,8,8,8,8,7,4,4,3,3,7,4],[4,7,4,4,8,8,8,3,4,4,4,4,4]],"output":[[4,4,4,4,4,3,8,8,8,4,4,7,4],[4,7,3,3,4,4,7,8,8,8,8,8,7],[3,3,5,5,4,4,7,7,4,4,7,4,4]]},{"input":[[6,8,4],[0,8,6]],"output":[[6,8,0],[4,8,6]]}],"test":[{"input":[[2,6],[2,6],[3,9],[0,9],[3,9],[7,8],[2,8]],"o... | 1 | dataset=solve_rotate group=rotate_180 predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=a | |
Simon-Solve-V1, 'O2T', predict the pixels | I0
6 3 b1b4,b3b1,5
O0
2 6 14,,31,,5,
I1
6 1 b1b4
O1
2 2 14,
I2T
3 2 2,
O2T
None | 2
2
2
2 | {"train":[{"input":[[1,1,1,4,4,4],[3,3,3,1,1,1],[5,5,5,5,5,5]],"output":[[1,4],[1,4],[3,1],[3,1],[5,5],[5,5]]},{"input":[[1,1,1,4,4,4]],"output":[[1,4],[1,4]]}],"test":[{"input":[[2,2,2],[2,2,2]],"output":[[2],[2],[2],[2]]}]} | 0 | dataset=solve_scale group=scale_x3down_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMONSOLVEVERSION1 predict raw pixels for O3T | I0
3 4 474,174,071,a04
O0
6 4 a4a7a4,a1a7a4,a0a7a1,c0a4
I1
2 6 73,,32,25,27,73
O1
4 6 a7a3,,a3a2,a2a5,a2a7,a7a3
I2
3 1 0
O2
6 1 0
I3T
1 3 2,6,2
O3T
None
I4T
2 5 4,39,,3,13
O4T
None | 22
66
22 | {"train":[{"input":[[4,7,4],[1,7,4],[0,7,1],[0,0,4]],"output":[[4,4,7,7,4,4],[1,1,7,7,4,4],[0,0,7,7,1,1],[0,0,0,0,4,4]]},{"input":[[7,3],[7,3],[3,2],[2,5],[2,7],[7,3]],"output":[[7,7,3,3],[7,7,3,3],[3,3,2,2],[2,2,5,5],[2,2,7,7],[7,7,3,3]]},{"input":[[0,0,0]],"output":[[0,0,0,0,0,0]]}],"test":[{"input":[[2],[6],[2]],"ou... | 0 | dataset=solve_scale group=scale_x2up_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
Simon-Solve-Version1 'O4T' predict the raw pixels | I0
6 3 a2b70,,
O0
6 1 a2b70
I1
7 6 21b531,,,231a231,,
O1
7 2 21b531,231a231
I2
5 3 a98a3,,
O2
5 1 a98a3
I3T
7 6 605c4,,,a84a628,,
O3T
None
I4T
7 6 712a6a4,,,9a573a6,,
O4T
None | 7126644
9557366 | {"train":[{"input":[[2,2,7,7,7,0],[2,2,7,7,7,0],[2,2,7,7,7,0]],"output":[[2,2,7,7,7,0]]},{"input":[[2,1,5,5,5,3,1],[2,1,5,5,5,3,1],[2,1,5,5,5,3,1],[2,3,1,2,2,3,1],[2,3,1,2,2,3,1],[2,3,1,2,2,3,1]],"output":[[2,1,5,5,5,3,1],[2,3,1,2,2,3,1]]},{"input":[[9,9,8,3,3],[9,9,8,3,3],[9,9,8,3,3]],"output":[[9,9,8,3,3]]}],"test":[... | 1 | dataset=solve_scale group=scale_x1_y3down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
Simon-Cellular-Automata, Cave wrap=no. steps=1. alive=5. dead=8. | 9 14 a5c8585,d85b8,c85c8,a8a5c85,a5d858,85c8b5,a858c58,a8b5a858,b85d8,8,a85c8a5,g85,e8a58,a5c8a58 | 9 14 8,,,,f858,e8a58,d8b58,b8a5c8,8,,,,f858,8 | null | null | null | dataset=cellular_automaton group=cave_nowrap ca_step=1 image_width=small image_height=medium |
simonsolveversion1 'O3T' predict the pixels | I0
8 8 c498a9,c489a8,1,,,,,c4a898
O0
8 8 5,,c6c5,,,,,5
I1
8 14 98d98,9,,9a8a9a89,8f9,a9d19,,,98d19,a9d19,,a4d14,4,8b98a98
O1
8 14 5,,,,,,,,,,,a5d65,5,
I2
13 14 9h48a9,8h4989,8h4b9,8h4a89,8h4a98,8h4989,9h4989,9h49a8,9h48a9,8g4a198,9g4a1a8,9g4a198,9g4a1a9,9g4a189
O2
13 14 5,,,,,,,,,h56b5,,,,
I3T
15 13 i98c9,h9d48,c98c9d4... | 555555555555555
555555555555555
555555555555555
555555555555555
555555555555555
555555555666665
555555555666665
555555555666665
555555555666665
555555555666665
555555555666665
555555555555555
555555555555555 | {"train":[{"input":[[4,4,4,4,9,8,9,9],[4,4,4,4,8,9,8,8],[1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1],[4,4,4,4,8,8,9,8]],"output":[[5,5,5,5,5,5,5,5],[5,5,5,5,5,5,5,5],[6,6,6,6,5,5,5,5],[6,6,6,6,5,5,5,5],[6,6,6,6,5,5,5,5],[6,6,6,6,5,5,5,5],[6,6,6,6,5,5,5,5],[5,5,5,5,5,5,5,5]]}... | 0 | dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
simon-solve-version1, 'O3T', predict the raw pixels | I0
3 1 0
O0
1 2 0,
I1
3 1 8
O1
1 2 8,
I2T
3 2 6,9
O2T
None
I3T
6 3 b9b0,b7b0,b6b0
O3T
None | 90
90
70
70
60
60 | {"train":[{"input":[[0,0,0]],"output":[[0],[0]]},{"input":[[8,8,8]],"output":[[8],[8]]}],"test":[{"input":[[6,6,6],[9,9,9]],"output":[[6],[6],[9],[9]]},{"input":[[9,9,9,0,0,0],[7,7,7,0,0,0],[6,6,6,0,0,0]],"output":[[9,0],[9,0],[7,0],[7,0],[6,0],[6,0]]}]} | 1 | dataset=solve_scale group=scale_x3down_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMONSOLVEV1 'O2T' predict the raw pixels | I0
11 23 0,,,,,h050,g0560,,f05060,e05b06,,d05c06,,c05b0a10,c05a01b0,b050a1c0,b051e0,a051f0,019g0,b0b9d0,e0a9b0,0,
O0
23 11 0,c01q0,c095p0,b0901a5n0,b09a010a5l0,b09b01a0a5j0,a09c01c0a5h0,a09d01d05g0,h01d0a5e0,h01c0b65d0,i0c6h0
I1
23 15 5,,p5a6c5,m5b6a58b5,k5a6d58b5,i5a6g58a5,g5a6g5a48a5,e5a6c5a4b63d5,d5c7d6b53d5,b5b4p5,... | 2
2
2
8
2
5
2
8
8
0
0
2
2
2
2 | {"train":[{"input":[[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],[0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,5,0],[0,0,0,0,0,0,0,0,5,6,0],[0,0,0,0,0,0,0,0,5,6,0],[0,0,0,0,0,0,0,5,0,6,0],[0,0,0,0,0,0,5,0,0,0,6],[0,0,0,0,0,0,5,0,0,0,6],[0,0,0,0,0,5,0,0,0,0,6],[0,0,0,0,0,5... | 0 | dataset=solve_rotate group=rotate_cw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
SIMON-SOLVE-V1 predict raw pixels for O2T | I0
10 7 1,b19e1,a191a9c1,a19b19b1,191b41a91,19c1c4,9h1
O0
7 10 14d1,149c1,,1419b1,a1419a1,,a14a191,b1a9a1,1a9c1,9e1
I1
7 19 b2c3,3,a2d3,32d3,32c32,e32,3232a32,3,a32c3,e32,2e3,3,232a323,b3a2a3,d3a2,3,32d3,a2c32,3
O1
19 7 32a32c32a3b2c3,c3232k3,d32l3,d32e32e3,e32b32f32,3a2h323b232,32c3232f3232
I2T
19 2 d40f4e8,f4j97
O2T
... | 78
98
98
98
98
98
94
94
94
94
94
94
44
40
44
44
44
44
44 | {"train":[{"input":[[1,1,1,1,1,1,1,1,1,1],[1,1,1,9,1,1,1,1,1,1],[1,1,9,1,9,9,1,1,1,1],[1,1,9,1,1,1,9,1,1,1],[1,9,1,4,4,4,1,9,9,1],[1,9,1,1,1,1,4,4,4,4],[9,1,1,1,1,1,1,1,1,1]],"output":[[1,4,1,1,1,1,1],[1,4,9,1,1,1,1],[1,4,9,1,1,1,1],[1,4,1,9,1,1,1],[1,1,4,1,9,1,1],[1,1,4,1,9,1,1],[1,1,4,1,1,9,1],[1,1,1,9,9,1,1],[1,9,9,... | 0 | dataset=solve_rotate group=flipb predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a | |
Simon-Solve-V1, O4T, predict raw pixels | I0
9 10 6g8,,5g8,6g8,,,,,,a65b65a6
O0
9 10 5g7,,,,,,,,,5
I1
10 7 h85,h86,,,,,
O1
10 7 h75,,,,,,
I2
7 13 e65,65d6,6,,8,6,,65d6,6,,b65a65,b65b6,d656
O2
7 13 5,,,,7,5,,,,,,,
I3
13 14 65658565a6565,5b68a65d6,c68b65a656,5b68a6565a65,a656865a656a5,5b65a65a65a6,5a6a5f65,b6a56565c6,b6a565d65,65d65c65,b65b6565b6,c65c65b6,5a65d6... | 55555555555555
55555555555555
55555555555555
55555555555555
77777555555555
77777555555555
77777555555555
77777555555555
77777555555555
55555555555555
55555555555555 | {"train":[{"input":[[6,8,8,8,8,8,8,8,8],[6,8,8,8,8,8,8,8,8],[5,8,8,8,8,8,8,8,8],[6,8,8,8,8,8,8,8,8],[6,8,8,8,8,8,8,8,8],[6,8,8,8,8,8,8,8,8],[6,8,8,8,8,8,8,8,8],[6,8,8,8,8,8,8,8,8],[6,8,8,8,8,8,8,8,8],[6,6,5,6,6,6,5,6,6]],"output":[[5,7,7,7,7,7,7,7,7],[5,7,7,7,7,7,7,7,7],[5,7,7,7,7,7,7,7,7],[5,7,7,7,7,7,7,7,7],[5,7,7,7,... | 0 | dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SimonCellularAutomaton, Given two images, recognize the transformation. serviettes_nowrap,highlife_nowrap | 19 12 78i7b8a787,8f7a8g78,8f78i7,a8h78d787,8h7b8787b8,8a78a7a8a787a8b787,7c8787c87a8b78,c7e8a7878c7,c78g7a8a787,b7b8b7a8b787b8,b8f7a8a7a8787,7a8g787a8c7
19 12 l78d7,a8e7a8b78d7,8f7a8h7,a8g7b8b7b8,8h78d7878,8a7e8e7a8a7,7a8j78c7,a78b78c7a8a78b7,f78a78b787b8,7d8b7b8e78,8b78c787a8c7a8,878f7e8b7 | serviettes_nowrap=0,highlife_nowrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
simon-solve-version1 predict raw pixels for O4T | I0
21 7 38g38d3b838,a23c8a3a8a30c38a3,38a2b383a8308a38c3,8a38a2a3b808a3a8c3,838383a23a038b38a3a8,a38c3802a3a8b383a8,83a8383d0g83
O0
7 21 323a838,828c3,a323b8,3828a38,38328a3,3832a38,38a32a3,a383280,b383a0,3b8020,c8030,b30a30,a30c8,308a3a8,e38,b38a38,83b838,8c3a8,a8c38,c3b8,8b3a83
I1
7 3 5a645a1,b5a158,5616585
O1
3 7 5,... | 222222222222222222222
222222222222222222222
222222222222222222222
222222222222222222222
222222222222222222222
222222222222220222222
222222222222205222222
222222222222202222222
222222222222052222222
222222222222022222222
222222222220522222222
222222222220522222222
222222222205222222222
222222222205222222222
222222222052... | {"train":[{"input":[[3,8,3,3,3,3,3,3,3,3,8,3,3,3,3,3,8,8,8,3,8],[2,2,3,8,8,8,8,3,3,8,8,3,3,0,3,3,3,3,8,3,3],[3,8,2,2,3,3,3,8,3,8,8,3,0,8,3,3,8,3,3,3,3],[8,3,3,8,2,2,3,3,8,8,8,0,8,3,3,8,8,3,3,3,3],[8,3,8,3,8,3,2,2,3,0,0,3,8,3,3,3,8,3,3,8,8],[3,3,8,3,3,3,3,8,0,2,3,3,8,8,3,3,3,8,3,8,8],[8,3,8,8,3,8,3,0,0,0,0,0,8,8,8,8,8,8... | 0 | dataset=solve_rotate group=flipa predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
simon-solve-v1 predict raw pixels for 'O3T' | I0
13 8 0j70,70g2b7,07g2b7,j670,j6a7,j607,j670,a7g2a07
O0
13 8 0j70,70g2b7,07g2b7,a6g2670,a6g26a7,a6g2607,a6g2670,a7g2a07
I1
8 14 7,e670,e6a7,,,e607,e6a7,e670,e6a7,e6a2,,,,7f2
O1
8 14 7,e670,e6a7,,,e607,e6a7,e670,e6a7,6f2,,,,7f2
I2T
14 7 7070c70c70,0g7d2,70a70b70d2,70c7070d2,b0707b0d2,d7a070d2,7k62
O2T
None
I3T
7 12 0d... | 0777770
7777777
7222222
7222222
0222222
7222222
7222222
7222222
7222222
7222222
0222222
0222222 | {"train":[{"input":[[0,7,7,7,7,7,7,7,7,7,7,7,0],[7,0,2,2,2,2,2,2,2,2,7,7,7],[0,7,2,2,2,2,2,2,2,2,7,7,7],[6,6,6,6,6,6,6,6,6,6,6,7,0],[6,6,6,6,6,6,6,6,6,6,6,7,7],[6,6,6,6,6,6,6,6,6,6,6,0,7],[6,6,6,6,6,6,6,6,6,6,6,7,0],[7,7,2,2,2,2,2,2,2,2,0,0,7]],"output":[[0,7,7,7,7,7,7,7,7,7,7,7,0],[7,0,2,2,2,2,2,2,2,2,7,7,7],[0,7,2,2,... | 1 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SimonsCellularAutomaton, Identify the transformation. gameoflife_nowrap,highlife_nowrap,cave_nowrap,serviettes_nowrap,maze_wrap | 15 17 3,k3030,0c3030d3a0,3,d3a0g3,e30d30a3,g30b30a3,3,d30h3,e30g3,l303,3,,,,a30c30f3,3
15 17 l303,0d30e303,e30d30a3,0b3c0d3a0,f30f3,d3030b30303,f30b30303,3,e30g3,d30h3,3,,,,,, | gameoflife_nowrap=0,highlife_nowrap=0,cave_nowrap=0,serviettes_nowrap=0,maze_wrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
Simon-Solve-V1 predict raw pixels for O2T | I0
30 24 p37k3,7h3a7a3737f3737b3,c37f37p3,i37f37j3,b3a7i3737e37d3,f37d37o3,e37k37i3,i37c37f3a7d3,37n37k3,a37a37h37c37c373737,c37c3a7g37i3,g37t3,b37g37b37l3,h37m37d3,3,e37f37h37d3,l373a7d37f3,d37m37c37c3,b37b37o37d3,e37j37j3,c37k3a737f373,t37g3,u37c37a3,37e3737c37f37e3
O0
30 24 37e3737c37f37e3,u37c37a3,t37g3,c37k3a737f3... | 58555555555
58558555555
54858355555
55858535555
55855553555
55485553555
55488555355
55455885535
55455558993
55545555555
55545555555
56545555555
56955555555
59555555555
69555555555
92555555555
52555555555
52555555555 | {"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,7,3,3,3,3,3,3,3,3,3,3,3,3],[7,3,3,3,3,3,3,3,3,3,7,7,3,3,7,3,7,3,3,3,3,3,3,3,7,3,7,3,3,3],[3,3,3,3,7,3,3,3,3,3,3,3,7,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,7,3,3,3,3,3,3,3,7,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,7,7,3,3,3,3,3,3,3,3,3,3,7,3,7,3,3,3,3,3,3,7,3... | 0 | dataset=solve_rotate group=flipy predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SIMON-SOLVE-V1, 'O4T', predict the raw pixels | I0
11 15 f3b43,b34f3,3,834g3,843a4e3,8a34c34a3,8d3a4b3,8i3,8a34a343434,843a4b3434,84a34e3,8d3b4a3,34h3,3a4g3,4h34
O0
11 15 9,,,3i9,,,,,,,,,9,,
I1
15 8 3,a3a4j3,343h8b3,b34j3,434h34a3,3,a34c34f3,l3a4
O1
15 8 9,,b9h3b9,9,,,,
I2
8 6 b3a4b3,a4b34a3,a48b434,a48a4a34,a38d3,a3834343
O2
8 6 9,,a93d9,,,
I3
6 14 3,34c3,3,,a4c3,3... | 99999999933399
99999999933399
99999999933399
99999999933399
99999999933399
99999999999999 | {"train":[{"input":[[3,3,3,3,3,3,3,4,4,4,3],[3,3,3,4,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3],[8,3,4,3,3,3,3,3,3,3,3],[8,4,3,4,4,3,3,3,3,3,3],[8,3,3,4,3,3,3,3,4,3,3],[8,3,3,3,3,3,4,4,3,3,3],[8,3,3,3,3,3,3,3,3,3,3],[8,3,3,4,3,3,4,3,4,3,4],[8,4,3,4,4,3,3,3,4,3,4],[8,4,3,3,4,3,3,3,3,3,3],[8,3,3,3,3,3,4,4,4,3,3],[3,4,3,3,3,3... | 0 | dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONCELLULARAUTOMATA, Recognize the transformation. gameoflife_nowrap,gameoflife_wrap,cave_wrap | 22 18 5,s575,l5a7c57a5,j57a57d575,7r575,d57j57c5,e57n5,5,,,f57c5a7e575,a5a7b5757b57b5b7a5,k5a7a57d5,a57k57e5,57s5,5,b57e57j5,57f5757i5
22 18 5,s575,l5a7c5a75,,s575,d57o5,e57n5,5,,,f5a7b5a7c5b75,a5a7b5a7c5a7a5b7a5,a5a7g5b75b7b5,a57k57e5,57s5,5,i57j5,h5b7i5 | gameoflife_nowrap=0,gameoflife_wrap=0,cave_wrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
Simon-Solve-V1 predict pixels for O2T | I0
14 12 d75b75b75,a70a3d0c7,,750a3d0c7,a75a3575e7,b7a3c75c7,757a3b7a5c7,5c7a575a7a57,5l7,h7575a7,d757a575a75,e75d757
O0
14 12 4,b4a0h4,,,4,,,,,,,
I1
12 8 7b05c75a7,7e35b75,5e3a57a5,7e3a7b5,,7b0a75b757,a5a757a5a757,575a7a575b7
O1
12 8 4,4b0g4,,,,4,,
I2T
11 12 b7c5a757,5i0,h3a0,,,,,,,,,
O2T
None | 44444444444
44444444444
40000000044
40000000044
40000000044
40000000044
40000000044
40000000044
40000000044
40000000044
40000000044
40000000044 | {"train":[{"input":[[7,7,7,7,7,5,7,7,7,5,7,7,7,5],[7,7,0,3,3,0,0,0,0,0,7,7,7,7],[7,7,0,3,3,0,0,0,0,0,7,7,7,7],[7,5,0,3,3,0,0,0,0,0,7,7,7,7],[7,7,5,3,3,5,7,5,7,7,7,7,7,7],[7,7,7,3,3,7,7,7,7,5,7,7,7,7],[7,5,7,3,3,7,7,7,5,5,7,7,7,7],[5,7,7,7,7,5,5,7,5,7,7,5,5,7],[5,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,5,7,5,7,7],... | 0 | dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
Simon-Solve-Version1, 'O3T', predict the raw pixels | I0
11 13 f62626,2a62b62b6,c62e6,c6a262b6,6,62a62e6,6262f6,a62c62626,f72a62,c7d0a6,a626d0a6,a62c62b6,d6262b6
O0
11 13 f62626,2a62b62b6,c62e6,c6a262b6,6,62a62e6,6262f6,a62c62626,f72a62,f7a0a6,a626d0a6,a62c62b6,d6262b6
I1
15 14 a2a6262d6262,6l76,2f0e76,,,6f0e76,2f0e76,6f0e72,6f0d626,2f0626a2a6,6f02b62a6,6f02a6b26,2f0a26a2... | 2222627777776
2266227777776
2662627777772
2622227777772
6666667777776
6266667777772
6622627777772
2666227777776
2626267777776
2662667777776
2662227777776
2626667777776
6662267777776
6626627777772
6666267777776 | {"train":[{"input":[[6,6,6,6,6,6,6,2,6,2,6],[2,6,6,2,6,6,6,2,6,6,6],[6,6,6,6,2,6,6,6,6,6,6],[6,6,6,6,2,2,6,2,6,6,6],[6,6,6,6,6,6,6,6,6,6,6],[6,2,6,6,2,6,6,6,6,6,6],[6,2,6,2,6,6,6,6,6,6,6],[6,6,2,6,6,6,6,2,6,2,6],[7,7,7,7,7,7,7,2,6,6,2],[7,7,7,7,0,0,0,0,0,6,6],[6,6,2,6,0,0,0,0,0,6,6],[6,6,2,6,6,6,6,2,6,6,6],[6,6,6,6,6,2... | 0 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SimonCellularAutomaton, Recognize the transformation. serviettes_wrap,serviettes_nowrap,gameoflife_nowrap,highlife_nowrap | 17 15 2,,,,,e21i2,g21g2,f21h2,2,,b2b1e21c2,21212a1i2,b21f21d2,21m21,2b1l2
17 15 2,,,,,,f2a1g2,f21h2,2,c21k2,a2d1i2,b212a1i2,b2a1k2,2121l2,2b1l2 | serviettes_wrap=0,serviettes_nowrap=0,gameoflife_nowrap=0,highlife_nowrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
simonsolveversion1 'O3T' predict the raw pixels | I0
8 7 2f7,,,b6d7,2f7,,
O0
8 7 9f1,,,,,,
I1
14 8 0j7a2,2j7a2,0j720,2j720,0b7g6a2,2b7g6a2,2b7g6a0,2j720
O1
14 8 9j1a9,,,,,,,
I2T
8 11 b2a0202,0a20b62,b20b62,c2b62,2a02b60,0202b62,20a2b60,c7b67,,,7
O2T
None
I3T
15 7 m72,f7g6,0d2020b2a02,i2a0b2,a0b2020f2,a202a02d0202,0a20e2020a2
O3T
None | 111111111111119
111111111111119
999999999999999
999999999999999
999999999999999
999999999999999
999999999999999 | {"train":[{"input":[[2,7,7,7,7,7,7,7],[2,7,7,7,7,7,7,7],[2,7,7,7,7,7,7,7],[6,6,6,7,7,7,7,7],[2,7,7,7,7,7,7,7],[2,7,7,7,7,7,7,7],[2,7,7,7,7,7,7,7]],"output":[[9,1,1,1,1,1,1,1],[9,1,1,1,1,1,1,1],[9,1,1,1,1,1,1,1],[9,1,1,1,1,1,1,1],[9,1,1,1,1,1,1,1],[9,1,1,1,1,1,1,1],[9,1,1,1,1,1,1,1]]},{"input":[[0,7,7,7,7,7,7,7,7,7,7,7,... | 1 | dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONCELLULARAUTOMATA, HighLife without wrap. Steps=1. Dead cells have value 9. Alive cells have value 8. | 22 10 9,9a8r9,a9a8q9,,8s98,9,8t9,9,, | 22 10 9,9b8q9,9,9b8q9,9,,,,, | null | null | null | dataset=cellular_automaton group=highlife_nowrap ca_step=1 image_width=large image_height=small |
SIMON-SOLVE-V1, O4T, predict pixels | I0
4 7 a8a5,a4a9,,a4a3,4,a6a4,a7a4
O0
2 7 85,49,,43,4,64,74
I1
4 6 a0a6,a0a3,,a5a0,,a3a0
O1
2 6 06,03,,50,,30
I2
6 2 2,9
O2
3 2 2,9
I3
2 7 0,9,,,,,
O3
1 7 0,9,,,,,
I4T
2 5 2,5,,,
O4T
None
I5T
6 3 1,,a1a2a6
O5T
None | 2
5
5
5
5 | {"train":[{"input":[[8,8,5,5],[4,4,9,9],[4,4,9,9],[4,4,3,3],[4,4,4,4],[6,6,4,4],[7,7,4,4]],"output":[[8,5],[4,9],[4,9],[4,3],[4,4],[6,4],[7,4]]},{"input":[[0,0,6,6],[0,0,3,3],[0,0,3,3],[5,5,0,0],[5,5,0,0],[3,3,0,0]],"output":[[0,6],[0,3],[0,3],[5,0],[5,0],[3,0]]},{"input":[[2,2,2,2,2,2],[9,9,9,9,9,9]],"output":[[2,2,2]... | 0 | dataset=solve_scale group=scale_x2down_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SimonCellularAutomaton, Given two images, recognize the transformation. cave_wrap,highlife_wrap,highlife_nowrap | 25 14 9w2,r2a9c2,2,s2b9a2,2,u29a2,b2929r2,2,d29h29h2,l29j2,m29i2,l29j2,2,9u292
25 14 w29,2,r29d2,t29b2,u29a2,2,,c29s2,2,m29i2,l2a9i2,2,,w29 | cave_wrap=0,highlife_wrap=1,highlife_nowrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
Simon-Solve-V1, 'O3T', predict the raw pixels | I0
3 7 5,8,6,,,,3
O0
1 7 5,8,6,,,,3
I1
3 7 4,0,,,6,,
O1
1 7 4,0,,,6,,
I2
3 4 0,,,4
O2
1 4 0,,,4
I3T
6 3 6,b5b4,b6b5
O3T
None
I4T
6 5 1,b7b1,b1b7,,b1b2
O4T
None | 66
54
65 | {"train":[{"input":[[5,5,5],[8,8,8],[6,6,6],[6,6,6],[6,6,6],[6,6,6],[3,3,3]],"output":[[5],[8],[6],[6],[6],[6],[3]]},{"input":[[4,4,4],[0,0,0],[0,0,0],[0,0,0],[6,6,6],[6,6,6],[6,6,6]],"output":[[4],[0],[0],[0],[6],[6],[6]]},{"input":[[0,0,0],[0,0,0],[0,0,0],[4,4,4]],"output":[[0],[0],[0],[4]]}],"test":[{"input":[[6,6,6... | 0 | dataset=solve_scale group=scale_x3down_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
simon-solve-version1 predict raw pixels for 'O4T' | I0
14 10 c4c7474747,4b74f9a4,7c4f947,4b74f974,474a7a9b5a947,b7a4a7b5b74,b7a4a7b57a47,b74b7b574a7,47d4b5b74,47a4a7a4e7
O0
14 10 c4c7474747,4b74f9a4,7c4f947,4b74f974,474a7f947,b7a4a7b5b74,b7a4a7b57a47,b74b7b574a7,47d4b5b74,47a4a7a4e7
I1
10 13 4b7d54,7b9d57,,,,7b9d54,,7b9d57,4c94c7,4c9a4747,b74c7a4,74b7b4a7,a74a747a47
O1
... | 45555774
45555447
99999947
99999977
99999947
99999974
99999977
99999977
99999977
99999944
99999944
99999977
99999977 | {"train":[{"input":[[4,4,4,4,7,7,7,7,4,7,4,7,4,7],[4,7,7,7,4,9,9,9,9,9,9,9,4,4],[7,4,4,4,4,9,9,9,9,9,9,9,4,7],[4,7,7,7,4,9,9,9,9,9,9,9,7,4],[4,7,4,7,7,9,9,5,5,5,9,9,4,7],[7,7,7,4,4,7,7,5,5,5,7,7,7,4],[7,7,7,4,4,7,7,5,5,5,7,4,4,7],[7,7,7,4,7,7,7,5,5,5,7,4,7,7],[4,7,4,4,4,4,4,5,5,5,7,7,7,4],[4,7,4,4,7,7,4,4,7,7,7,7,7,7]]... | 1 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
Simon-Solve-V1 predict pixels for 'O4T' | I0
1 2 9,4
O0
3 4 9,,4,
I1
2 3 52,25,23
O1
6 6 b5b2,,b2b5,,b2b3,
I2
2 3 4,,
O2
6 6 4,,,,,
I3
1 2 7,
O3
3 4 7,,,
I4T
2 1 4
O4T
None | 444444
444444 | {"train":[{"input":[[9],[4]],"output":[[9,9,9],[9,9,9],[4,4,4],[4,4,4]]},{"input":[[5,2],[2,5],[2,3]],"output":[[5,5,5,2,2,2],[5,5,5,2,2,2],[2,2,2,5,5,5],[2,2,2,5,5,5],[2,2,2,3,3,3],[2,2,2,3,3,3]]},{"input":[[4,4],[4,4],[4,4]],"output":[[4,4,4,4,4,4],[4,4,4,4,4,4],[4,4,4,4,4,4],[4,4,4,4,4,4],[4,4,4,4,4,4],[4,4,4,4,4,4]... | 0 | dataset=solve_scale group=scale_x3up_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-V1, O2T, predict pixels | I0
14 10 7c1c87a171,c17c817b1,d1c8d1,7c1c8a17a1,d1e5171,717a1e5b1,d1e57a1,d1e5a71,17a17e5b1,b171c8c17
O0
14 10 d6c5d6,,,,,,,,,
I1
10 8 7d17b1,8,c8d58,,,,,c1d51
O1
10 8 6,5,,,,,,6
I2T
8 15 8,,a8a5c8,,,,8,,,,,,,b17a171,71717b1
O2T
None | 55555555
55555555
55555555
55555555
55555555
55555555
55555555
55555555
55555555
55555555
55555555
55555555
55555555
66666666
66666666 | {"train":[{"input":[[7,1,1,1,1,8,8,8,8,7,1,1,7,1],[1,1,1,1,7,8,8,8,8,1,7,1,1,1],[1,1,1,1,1,8,8,8,8,1,1,1,1,1],[7,1,1,1,1,8,8,8,8,1,1,7,1,1],[1,1,1,1,1,5,5,5,5,5,5,1,7,1],[7,1,7,1,1,5,5,5,5,5,5,1,1,1],[1,1,1,1,1,5,5,5,5,5,5,7,1,1],[1,1,1,1,1,5,5,5,5,5,5,7,7,1],[1,7,1,1,7,5,5,5,5,5,5,1,1,1],[1,1,1,7,1,8,8,8,8,1,1,1,1,7]]... | 0 | dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEV1, 'O3T', predict the raw pixels | I0
1 6 1,,,3,,
O0
3 2 1,3
I1
2 6 7,,,13,,
O1
6 2 7,b1b3
I2
2 6 7,,,68,,
O2
6 2 7,b6b8
I3T
2 3 57,,
O3T
None | 555777 | {"train":[{"input":[[1],[1],[1],[3],[3],[3]],"output":[[1,1,1],[3,3,3]]},{"input":[[7,7],[7,7],[7,7],[1,3],[1,3],[1,3]],"output":[[7,7,7,7,7,7],[1,1,1,3,3,3]]},{"input":[[7,7],[7,7],[7,7],[6,8],[6,8],[6,8]],"output":[[7,7,7,7,7,7],[6,6,6,8,8,8]]}],"test":[{"input":[[5,7],[5,7],[5,7]],"output":[[5,5,5,7,7,7]]}]} | 0 | dataset=solve_scale group=scale_x3up_y3down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-VERSION1, O2T, predict pixels | I0
5 12 464a1,a1b4,61b4,4,46184,a4a97,a6b8,16971,16974,b476,6a416,a4641
O0
5 12 146a4,61a46,67b4,47961,17961,b8a6,7a9a4,48164,4,b416,b4a1,a1464
I1
12 8 3,e31d3,,,c30a1b3a9,d30c1a3,d371a9b3,3
O1
12 8 3,b3a917d3,a3c10d3,a9b3a10c3,d31e3,,,3
I2T
8 17 78487b8,c87a87,84a87817,878a7817,84a84817,a7c817,8a787617,a87b817,87a8971... | 75877778
75788786
85887786
75828888
85896868
85974588
71985878
81895878
61798878
71888788
71678778
71888877
71848848
71877878
71878848
78878888
88878487 | {"train":[{"input":[[4,6,4,1,1],[1,1,4,4,4],[6,1,4,4,4],[4,4,4,4,4],[4,6,1,8,4],[4,4,9,9,7],[6,6,8,8,8],[1,6,9,7,1],[1,6,9,7,4],[4,4,4,7,6],[6,4,4,1,6],[4,4,6,4,1]],"output":[[1,4,6,4,4],[6,1,4,4,6],[6,7,4,4,4],[4,7,9,6,1],[1,7,9,6,1],[8,8,8,6,6],[7,9,9,4,4],[4,8,1,6,4],[4,4,4,4,4],[4,4,4,1,6],[4,4,4,1,1],[1,1,4,6,4]]}... | 0 | dataset=solve_rotate group=rotate_180 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEVERSION1, 'O3T', predict the pixels | I0
3 1 4
O0
1 2 4,
I1
3 3 6,,
O1
1 6 6,,,,,
I2
3 2 7,
O2
1 4 7,,,
I3T
6 3 b4b2,b7b2,
O3T
None | 42
42
72
72
72
72 | {"train":[{"input":[[4,4,4]],"output":[[4],[4]]},{"input":[[6,6,6],[6,6,6],[6,6,6]],"output":[[6],[6],[6],[6],[6],[6]]},{"input":[[7,7,7],[7,7,7]],"output":[[7],[7],[7],[7]]}],"test":[{"input":[[4,4,4,2,2,2],[7,7,7,2,2,2],[7,7,7,2,2,2]],"output":[[4,2],[4,2],[7,2],[7,2],[7,2],[7,2]]}]} | 0 | dataset=solve_scale group=scale_x3down_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SimonsCellularAutomata, Recognize the transformation between input and output. highlife_wrap,cave_wrap,serviettes_wrap | 26 21 26a2a62b6c262b62a6a2a6,6c26262c6b26c2a62a6,b62f62626b2b62c6,g62c62h62a6,c6262c62b6262a62a6a26,c6a2c6262e6a262a62,e6262a62a6a2i6,2b626a2f626a26b2626,262b6b2l62a62,a62a6a2f62d62626a2,2d626a2c6a2c6a2a6a2,6a2b6a2a62a626262d6a26,62a62d626262c6262b62,e62m6a2b6,a6a2c62d6a262g6,d62f62g62b6,d6262c62a626a2d626,b2d6a262a6a2... | highlife_wrap=0,cave_wrap=0,serviettes_wrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large |
Simon-Solve-Version1 predict raw pixels for O4T | I0
4 2 7673,63a7
O0
4 4 7673,,63a7,
I1
4 2 6b8,a2a4
O1
4 4 6b8,,a2a4,
I2
3 2 a06,908
O2
3 4 a06,,908,
I3
3 3 a28,258,782
O3
3 6 a28,,258,,782,
I4T
5 3 08a06,01a86,7c0
O4T
None
I5T
6 3 10a537,510538,a63057
O5T
None | 08006
08006
01886
01886
70000
70000 | {"train":[{"input":[[7,6,7,3],[6,3,7,7]],"output":[[7,6,7,3],[7,6,7,3],[6,3,7,7],[6,3,7,7]]},{"input":[[6,8,8,8],[2,2,4,4]],"output":[[6,8,8,8],[6,8,8,8],[2,2,4,4],[2,2,4,4]]},{"input":[[0,0,6],[9,0,8]],"output":[[0,0,6],[0,0,6],[9,0,8],[9,0,8]]},{"input":[[2,2,8],[2,5,8],[7,8,2]],"output":[[2,2,8],[2,2,8],[2,5,8],[2,5... | 0 | dataset=solve_scale group=scale_x1_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
simon-solve-version1 predict raw pixels for O2T | I0
30 7 6080j80808206g3,806a08a0m30a82b82,8f3b82b8a286c828260a8,802828a208a086a82b8c0a82820,a82a80260a6c82b828a0b8a086,260a8a2682862c802a8a0d8a0,0b80b86b82b80b82a0b8a080
O0
30 7 g36028080j80806,2b82a80m3a08a0608,a806282c868a2b82b8f38,0282a8c0b82a868a080a2828208,68a0b8a082b82c8a60620a82a8,a0d8a0a820c8268286a2a8062,08a0b... | 99999999999
99999999999
99999999999
99999999999
99999999999
99999999999
99999999999
99999999999
99999999999
99999999999
99999999999
99999999999
99999999999
99999999999 | {"train":[{"input":[[6,0,8,0,8,8,8,8,8,8,8,8,8,8,8,0,8,0,8,2,0,6,3,3,3,3,3,3,3,3],[8,0,6,0,0,8,0,0,3,3,3,3,3,3,3,3,3,3,3,3,3,3,0,8,8,2,8,8,8,2],[8,3,3,3,3,3,3,3,8,8,8,2,8,8,8,2,2,8,6,8,8,8,8,2,8,2,6,0,8,8],[8,0,2,8,2,8,2,2,0,8,0,0,8,6,8,8,2,8,8,8,0,0,0,0,8,8,2,8,2,0],[8,8,2,8,8,0,2,6,0,6,6,8,8,8,8,2,8,8,8,2,8,0,0,8,8,8... | 0 | dataset=solve_rotate group=flipx predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=c | |
simonsolvev1 predict raw pixels for 'O3T' | I0
3 6 6,,,026,,
O0
6 2 6,a0a2a6
I1
2 3 68,,
O1
4 1 a6a8
I2
3 3 9,,
O2
6 1 9
I3T
3 6 a75,,,245,,
O3T
None
I4T
2 3 89,,
O4T
None | 777755
224455 | {"train":[{"input":[[6,6,6],[6,6,6],[6,6,6],[0,2,6],[0,2,6],[0,2,6]],"output":[[6,6,6,6,6,6],[0,0,2,2,6,6]]},{"input":[[6,8],[6,8],[6,8]],"output":[[6,6,8,8]]},{"input":[[9,9,9],[9,9,9],[9,9,9]],"output":[[9,9,9,9,9,9]]}],"test":[{"input":[[7,7,5],[7,7,5],[7,7,5],[2,4,5],[2,4,5],[2,4,5]],"output":[[7,7,7,7,5,5],[2,2,4,... | 0 | dataset=solve_scale group=scale_x2up_y3down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-V1 'O2T' predict the pixels | I0
7 6 a393b5,9b3b5,a393b5,e15,c3b5,b39b5
O0
7 6 c9b6,,,,,
I1
6 10 b51a5,,,,,,,,,
O1
6 10 6,,,,,,,,,
I2T
14 15 939a39g3,a39c3a9b393,c9i3,b393b9b3b9,93j53,a3j53,3a1i53,,,,3a1i59,9a1i59,3a1a39a3939b3,3a139a39b39a3,3a939g39
O2T
None
I3T
11 7 i53,,b5g1,,i53,,f39b3
O3T
None | 99999999999999
99999999999999
99999999999999
99999999999999
99666666666669
99666666666669
99666666666669
99666666666669
99666666666669
99666666666669
99666666666669
99666666666669
99999999999999
99999999999999
99999999999999 | {"train":[{"input":[[3,3,9,3,5,5,5],[9,3,3,3,5,5,5],[3,3,9,3,5,5,5],[1,1,1,1,1,1,5],[3,3,3,3,5,5,5],[3,3,3,9,5,5,5]],"output":[[9,9,9,9,6,6,6],[9,9,9,9,6,6,6],[9,9,9,9,6,6,6],[9,9,9,9,6,6,6],[9,9,9,9,6,6,6],[9,9,9,9,6,6,6]]},{"input":[[5,5,5,1,5,5],[5,5,5,1,5,5],[5,5,5,1,5,5],[5,5,5,1,5,5],[5,5,5,1,5,5],[5,5,5,1,5,5],[... | 0 | dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SimonsCellularAutomaton, Recognize the transformation between input and output. serviettes_wrap,highlife_wrap | 14 16 f1a8d1,1,,,b18i1,,,1,,,,,c18h1,1,c1d8d1,1
14 16 1,,,,,a1b8h1,1,,,,,,,c181a8e1,d1b8e1, | serviettes_wrap=0,highlife_wrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
SIMON-SOLVE-VERSION1 'O2T' predict the pixels | I0
4 23 0,a060,,,,,,,,,,,b06,,,,,,,,,,
O0
4 23 b06,,,,,,,,,,,a060,,,,,,,,,,,0
I1
23 22 8,,80t8,a83s8,b830q8,b8131p8,c8131o8,d8131n8,e81310l8,g83a1k8,h8381j8,i8a31i8,k831h8,h81b83a1f8,i81b8381e8,j81b8381d8,k81b8381c8,k81c838a1a8,l81f818,m81f81,8,
O1
23 22 8,,m81f81,l81f818,k81c838a1a8,k81b8381c8,j81b8381d8,i81b8381e8,h8... | 2222222222222222222222
2222222299999222222222
2753333333333999999922 | {"train":[{"input":[[0,0,0,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6]],"output":[[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6]... | 0 | dataset=solve_rotate group=flipy predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
simonsolvev1, O2T, predict raw pixels | I0
3 7 3,373,473,373,3,,
O0
6 7 3,a3a7a3,a4a7a3,a3a7a3,3,,
I1
2 5 2,,52,25,2
O1
4 5 2,,a5a2,a2a5,2
I2T
3 1 9a8
O2T
None | 998888 | {"train":[{"input":[[3,3,3],[3,7,3],[4,7,3],[3,7,3],[3,3,3],[3,3,3],[3,3,3]],"output":[[3,3,3,3,3,3],[3,3,7,7,3,3],[4,4,7,7,3,3],[3,3,7,7,3,3],[3,3,3,3,3,3],[3,3,3,3,3,3],[3,3,3,3,3,3]]},{"input":[[2,2],[2,2],[5,2],[2,5],[2,2]],"output":[[2,2,2,2],[2,2,2,2],[5,5,2,2],[2,2,5,5],[2,2,2,2]]}],"test":[{"input":[[9,8,8]],"o... | 0 | dataset=solve_scale group=scale_x2up_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-V1, O2T, predict raw pixels | I0
6 12 9,,,,a96939,a96a59,a9a2a9,a92a69,a92b9,98c9,9,
O0
6 12 9,,,,9396a9,9a56a9,a9a2a9,9a62a9,b92a9,c989,9,
I1
12 24 7,,,,,,,,c79b72b7,d7a972b7,f7a92a7,h79a7,7,,,,,,,,,,,
O1
12 24 7,,,,,,,,b72b79c7,b727a9d7,a72a9f7,a79h7,7,,,,,,,,,,,
I2T
24 4 a42462141468a14b146c1,461a61424786142d1b42,1b424a178c56d542a4,21a41214c8a26... | 111164111411864141264244
244411111241687424166164
442455555655558711424441
426224477622888841214412 | {"train":[{"input":[[9,9,9,9,9,9],[9,9,9,9,9,9],[9,9,9,9,9,9],[9,9,9,9,9,9],[9,9,6,9,3,9],[9,9,6,5,5,9],[9,9,2,2,9,9],[9,9,2,6,6,9],[9,9,2,9,9,9],[9,8,9,9,9,9],[9,9,9,9,9,9],[9,9,9,9,9,9]],"output":[[9,9,9,9,9,9],[9,9,9,9,9,9],[9,9,9,9,9,9],[9,9,9,9,9,9],[9,3,9,6,9,9],[9,5,5,6,9,9],[9,9,2,2,9,9],[9,6,6,2,9,9],[9,9,9,2,... | 0 | dataset=solve_rotate group=flipx predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=b | |
SIMONSCELLULARAUTOMATA, Identify the transformation. serviettes_wrap,gameoflife_wrap,cave_wrap | 15 22 b5a4i5,5,54l5,b545a4g5,c5454f54,e5b4d54,e545a4d5,f5a454c5,a5a4b545b4b5,b54b5a4e5,c54i5,e5454e5,e54d5b4,f54c5a45,4e54c5b4,j5a4a5,f54b5a4a5,j5b45,f54b5b45,m54,e54g5,c54i5
15 22 b5a4i5,5,,c5b4g5,c54i5,e545a4d5,e54g5,e54a5454b5,a5a4a54545a4b5,a5b4a5c4c5,g54e5,d5454d545,e54d5454,4d5a4b54a54,m54,,i54c5,,j54a54,k5a45,5,... | serviettes_wrap=0,gameoflife_wrap=0,cave_wrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large |
simon-cellular-automaton, Given two images, recognize the transformation. gameoflife_nowrap,cave_wrap,gameoflife_wrap | 17 25 1e9h19,1d9c1a91c9,b19l1,h1b9a1a91,b1b9a1919b1919,b191b9b1919b1,919d1a919b1a9,a9c1a9b1d91,9a191a9e1c9,a1919e19b1a9,a19a1a9f19a1,b19a1a9a1a9a19a1,b1e9b191a91,c19b191919c1,1a919b1b91919a1,b1b9c19d19,b1a919h19,b1a9i191,a191919a1919d1,1a919191a9f1,b1a919a19b19b1,1b9b1a9a191b91,e19191a9a1b9,a919b1c9a1a919,91b9a1a91d9a1... | gameoflife_nowrap=0,cave_wrap=0,gameoflife_wrap=1 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large |
simon-solve-version1, O4T, predict pixels | I0
12 12 a58h5,a58c5b6a8,58d5646a5,58a58a5646a5,f5646a5,858a585646a5,8585a8564658,8a58b564685,a85a8a5646a8,8e564658,5858a58646a5,f564685
O0
12 12 6,,g62b6,,,,,,,,,
I1
13 9 i4685,i4658,i46a5,,,,c5f658,c5f6a5,
O1
13 9 c6e2b6,,,,,,6,,
I2
8 12 b5b845,e545,b8b548,a58b548,c58548,5a8b545,e646,6,,,,858d5
O2
8 12 6,,,,,,e626,6,... | 666666666666
666666666666
666666666666
666666666666
666666626666
666666626666
666666626666
666666626666
666666626666
666666626666
666666666666
666666666666
666666666666
666666666666 | {"train":[{"input":[[5,5,8,5,5,5,5,5,5,5,5,5],[5,5,8,5,5,5,5,6,6,6,8,8],[5,8,5,5,5,5,5,6,4,6,5,5],[5,8,5,5,8,5,5,6,4,6,5,5],[5,5,5,5,5,5,5,6,4,6,5,5],[8,5,8,5,5,8,5,6,4,6,5,5],[8,5,8,5,8,8,5,6,4,6,5,8],[8,5,5,8,5,5,5,6,4,6,8,5],[8,8,5,8,8,5,5,6,4,6,8,8],[8,5,5,5,5,5,5,6,4,6,5,8],[5,8,5,8,5,5,8,6,4,6,5,5],[5,5,5,5,5,5,5... | 0 | dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMONCELLULARAUTOMATA, Recognize the transformation. maze_wrap,cave_wrap,serviettes_wrap | 26 18 24b242424j2c42,e24a24f242a4a2a42,24b2424i2424b242,b4a242424c2a4g2a4,4242c4e24c24a242a4,a242a4b2b4a24c2c4b2,42424h24b2a4242424,a42a42b4a24b2b4c24b2,4a24c2424f2a4e2,2b4a2424i24b2b4,e4a2a4a24g2a4a24,b2b4a242b4e24a24b2,242a424a2424f2b424a2,c24b2d4a24h24,a2a4g2a424g242,a424a2b4m24a2,a42a4b2b4a2424242a4d2,2d4a2a4b24a2b... | maze_wrap=0,cave_wrap=0,serviettes_wrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
Simon-Solve-Version1 predict raw pixels for O3T | I0
10 11 a04c04a0,e0a7a0,a04b0a740,b0b4a704,0d8a780,4d8a780,0d8a780,a4a040a7a0,c040a7a0,b04a04040,04g0
O0
10 11 3,,,,e3a2a3,,,3,,,
I1
14 14 d04g0,b0404g0,0i8b0,,0h8c7,,,,,,,4h8c7,d04c0c7,4g0a4b0
O1
14 14 3,,,,i32b3,,,,,,,,3,
I2
11 9 a0d84b0,a0d8a0a4,0c7a8a040,4c7a84b0,0c7a8c0,,4c7a8a040,0c7a8a040,0c74d0
O2
11 9 3,,a3b2... | 33333333333333
33333333333333
33333333333333
33332222222333
33332222222333
33332222222333
33332222222333
33332222222333
33332222222333
33333333333333 | {"train":[{"input":[[0,0,4,0,0,0,0,4,0,0],[0,0,0,0,0,0,7,7,0,0],[0,0,4,0,0,0,7,7,4,0],[0,0,0,4,4,4,7,7,0,4],[0,8,8,8,8,8,7,7,8,0],[4,8,8,8,8,8,7,7,8,0],[0,8,8,8,8,8,7,7,8,0],[4,4,0,0,4,0,7,7,0,0],[0,0,0,0,4,0,7,7,0,0],[0,0,0,4,0,0,4,0,4,0],[0,4,0,0,0,0,0,0,0,0]],"output":[[3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3],[3,... | 0 | dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-VERSION1, O4T, predict raw pixels | I0
1 5 3,,,,7
O0
5 1 c37
I1
5 14 09b0,,,,,,,,,,,,,
O1
14 5 0,,,9,0
I2
14 25 b30i3,b340h3,c340g3,,a2a3430f3,3b23430e3,b3b2a30d3,a3a9b2a30c3,e3a2a30b3,e343230b3,e34a3a20a3,f34b3a23,f34d32,f34e3,g34d3,,,h34c3,,,i34b3,,3,,
O2
25 14 k32k3,j32l3,i302l3,g3a02h3a4b3,f30a32e3b4d3,e30a32c3b4g3,d30a32a3b4j3,c30a3a2a4m3,a3a034a2p3... | 57
58
58
78
58
78
58
78
58
58
58
58
88
88
85
85
87
85
85
88
85
88
85
81
81 | {"train":[{"input":[[3],[3],[3],[3],[7]],"output":[[3,3,3,3,7]]},{"input":[[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0],[0,9,0,0,0]],"output":[[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 | dataset=solve_rotate group=rotate_ccw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
simon-solve-v1 predict raw pixels for 'O3T' | I0
5 3 80a56,,
O0
5 1 80a56
I1
6 3 7d6,,
O1
6 1 7d6
I2T
2 6 8,,,46,,
O2T
None
I3T
5 6 c19,,,7c9,,
O3T
None | 11119
79999 | {"train":[{"input":[[8,0,5,5,6],[8,0,5,5,6],[8,0,5,5,6]],"output":[[8,0,5,5,6]]},{"input":[[7,6,6,6,6,6],[7,6,6,6,6,6],[7,6,6,6,6,6]],"output":[[7,6,6,6,6,6]]}],"test":[{"input":[[8,8],[8,8],[8,8],[4,6],[4,6],[4,6]],"output":[[8,8],[4,6]]},{"input":[[1,1,1,1,9],[1,1,1,1,9],[1,1,1,1,9],[7,9,9,9,9],[7,9,9,9,9],[7,9,9,9,9... | 1 | dataset=solve_scale group=scale_x1_y3down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
simonsolveversion1, O4T, predict pixels | I0
25 25 a45u4,f45b45i4545,a45a45g45g454,a45454b5d4a5f454,a45b45d45a4b5e45,45e4a5g45a45a45,d4a5a4a5a45i45,a4545d45e45b45454,45d45g45a45d4,4545e45d45b4a5b4,a4a5f45c454a5c45,e45a45a45a454545a45a4,d45b4a545c45b45454,f454a54545b45e4,5c4b5p4,d4b5p4,a45d4a5b4545a45e4,l454a5d4b5,a45h45b4a5f4,i45h45c4,s45c4,4545e45454545b45c4,... | 404074714744444447777474
474707011744411774710777
401444440044440474441174
710744404007744017407040
474417474774174717444044
174847004777477777174104
044871447114714077407410
077804700477701477417141
411844714477401040147470
774840444047774471404004
414844747410717444444414
074874440071147774441474
70484777477401414474... | {"train":[{"input":[[4,4,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,5,4,4,4,5,4,4,4,4,4,4,4,4,4,4,5,4,5],[4,4,5,4,4,5,4,4,4,4,4,4,4,4,5,4,4,4,4,4,4,4,4,5,4],[4,4,5,4,5,4,5,5,5,4,4,4,4,4,5,5,4,4,4,4,4,4,4,5,4],[4,4,5,4,4,4,5,4,4,4,4,4,5,4,4,5,5,5,4,4,4,4,4,4,5],[4,5,4,4,4,4,4,4,5,5,4,4,4,4,4,4,4,4,5,4... | 1 | dataset=solve_rotate group=rotate_cw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
SimonsCellularAutomata, Given two images, recognize the transformations. highlife_wrap,serviettes_wrap,gameoflife_nowrap | 22 15 g50e5050c5,f50a50f5b05,e5a0m5,h50e50d5,a0g50d50d5,o5050b5,n50e5,d5050f50c505,i5a0b50e5,5,k50c50c5,5,b0r5,5,0s50
22 15 0e5050e505c0,e505a0e5a0c5,g5b0e5c05,a0c5b050c5050c5,h50d5050c5,a0l5050c5,e50f505a050a5,e50b5a0a5050d5,e50f5050d5,i5b0b50d5,5,b0r5,5,b0q50,o50d5 | highlife_wrap=0,serviettes_wrap=1,gameoflife_nowrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
simon-solve-v1, 'O3T', predict the raw pixels | I0
2 4 9,,94,9
O0
1 2 9,
I1
4 6 a835,8b5,9a15,a9a1,a1a8,
O1
2 3 85,91,18
I2
6 2 657279,a5c7
O2
3 1 5a7
I3T
2 2 7,07
O3T
None
I4T
2 6 0,,8,,,
O4T
None | 7 | {"train":[{"input":[[9,9],[9,9],[9,4],[9,9]],"output":[[9],[9]]},{"input":[[8,8,3,5],[8,5,5,5],[9,1,1,5],[9,9,1,1],[1,1,8,8],[1,1,8,8]],"output":[[8,5],[9,1],[1,8]]},{"input":[[6,5,7,2,7,9],[5,5,7,7,7,7]],"output":[[5,7,7]]}],"test":[{"input":[[7,7],[0,7]],"output":[[7]]},{"input":[[0,0],[0,0],[8,8],[8,8],[8,8],[8,8]],... | 0 | dataset=solve_scale group=scale_x2down_y2down_noiserandom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-V1 predict raw pixels for 'O4T' | I0
2 3 26,,
O0
2 1 26
I1
1 6 4,,,3,,
O1
1 2 4,3
I2
6 3 a0c2,,
O2
6 1 a0c2
I3T
2 6 12,,,1,,
O3T
None
I4T
7 6 101c8,,,0e8,,
O4T
None | 1018888
0888888 | {"train":[{"input":[[2,6],[2,6],[2,6]],"output":[[2,6]]},{"input":[[4],[4],[4],[3],[3],[3]],"output":[[4],[3]]},{"input":[[0,0,2,2,2,2],[0,0,2,2,2,2],[0,0,2,2,2,2]],"output":[[0,0,2,2,2,2]]}],"test":[{"input":[[1,2],[1,2],[1,2],[1,1],[1,1],[1,1]],"output":[[1,2],[1,1]]},{"input":[[1,0,1,8,8,8,8],[1,0,1,8,8,8,8],[1,0,1,... | 1 | dataset=solve_scale group=scale_x1_y3down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
simon-solve-version1, O2T, predict raw pixels | I0
13 3 a47a4a7a4a5a3,7d87a4a374,47a4b83d4
O0
3 13 474,784,487,484,a84,a87,8a7,3a4,4,435,,473,a43
I1
3 2 684,086
O1
2 3 06,8,64
I2T
2 7 26,,39,09,39,78,28
O2T
None
I3T
7 9 e46,a6c49,,a6b494,46b496,b6a464,b549a6,6a594a6,a465464
O3T
None | 2730322
8899966 | {"train":[{"input":[[4,4,7,4,4,7,7,4,4,5,5,3,3],[7,8,8,8,8,8,7,4,4,3,3,7,4],[4,7,4,4,8,8,8,3,4,4,4,4,4]],"output":[[4,7,4],[7,8,4],[4,8,7],[4,8,4],[8,8,4],[8,8,7],[8,7,7],[3,4,4],[4,4,4],[4,3,5],[4,3,5],[4,7,3],[4,4,3]]},{"input":[[6,8,4],[0,8,6]],"output":[[0,6],[8,8],[6,4]]}],"test":[{"input":[[2,6],[2,6],[3,9],[0,9]... | 0 | dataset=solve_rotate group=rotate_cw predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a | |
SIMONSOLVEV1, 'O4T', predict the raw pixels | I0
7 1 8a4c7
O0
7 3 8a4c7,,
I1
5 2 2,
O1
5 6 2,,,,,
I2
7 2 156a357,d737
O2
7 6 156a357,,,d737,,
I3
5 1 4
O3
5 3 4,,
I4T
2 1 3
O4T
None
I5T
1 1 5
O5T
None | 33
33
33 | {"train":[{"input":[[8,4,4,7,7,7,7]],"output":[[8,4,4,7,7,7,7],[8,4,4,7,7,7,7],[8,4,4,7,7,7,7]]},{"input":[[2,2,2,2,2],[2,2,2,2,2]],"output":[[2,2,2,2,2],[2,2,2,2,2],[2,2,2,2,2],[2,2,2,2,2],[2,2,2,2,2],[2,2,2,2,2]]},{"input":[[1,5,6,3,3,5,7],[7,7,7,7,7,3,7]],"output":[[1,5,6,3,3,5,7],[1,5,6,3,3,5,7],[1,5,6,3,3,5,7],[7,... | 0 | dataset=solve_scale group=scale_x1_y3up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
Simon-Solve-V1 'O2T' predict the raw pixels | I0
2 6 95,,,25,,
O0
2 2 95,25
I1
4 6 6b5,,,a565,,
O1
4 2 6b5,a565
I2T
4 3 2,,
O2T
None | 2222 | {"train":[{"input":[[9,5],[9,5],[9,5],[2,5],[2,5],[2,5]],"output":[[9,5],[2,5]]},{"input":[[6,5,5,5],[6,5,5,5],[6,5,5,5],[5,5,6,5],[5,5,6,5],[5,5,6,5]],"output":[[6,5,5,5],[5,5,6,5]]}],"test":[{"input":[[2,2,2,2],[2,2,2,2],[2,2,2,2]],"output":[[2,2,2,2]]}]} | 0 | dataset=solve_scale group=scale_x1_y3down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
Simon-Solve-V1 'O2T' predict the pixels | I0
7 9 8,c8a68,,,,8,,,4343a43
O0
7 9 8,,,,,,,,4343a43
I1
9 10 g83,8c6b83,8c6b84,8c6b83,8c6b84,,,8c6b83,,4c6a3a4
O1
9 10 g83,,g84,g83,g84,,,g83,,4c6a3a4
I2T
6 15 b6b4,b63a4,b6b4,,,,b6b8,,,,,,,4d8,
O2T
None
I3T
9 7 4a6d43,8a6b8a43,,8a6b8b4,,4a6e4,4a6c434
O3T
None | 666444
666344
666444
666444
666444
666444
688888
688888
688888
688888
688888
688888
688888
488888
488888 | {"train":[{"input":[[8,8,8,8,8,8,8],[8,8,8,8,6,6,8],[8,8,8,8,6,6,8],[8,8,8,8,6,6,8],[8,8,8,8,6,6,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[4,3,4,3,4,4,3]],"output":[[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[4,3,4,3,4,4,3]]}... | 0 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=small image_height=medium task_pixels=b | |
simonsolveversion1 predict raw pixels for O3T | I0
11 8 9,,,9i0,9,,d7878b7,a78g7
O0
11 8 1,,,1i7,1,,,
I1
8 7 8a7a8a78,b787b8,a780a787,b80c7,b90a987,e978,a8c787
O1
8 7 1,,,,b17c1,1,
I2
10 9 c79c78,c79d7,,,87e078,a7e0a7,c798c7,c79c78,a7a8978b7
O2
10 9 1,,,,c17d1,,1,,
I3T
9 7 9,,,,c9a0b9,,
O3T
None
I4T
11 9 7i9,,,7d0d9,,,8d0d9,7d0d9,7i9
O4T
None | 111111111
111111111
111111111
111111111
111177111
111177111
111177111 | {"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[9,0,0,0,0,0,0,0,0,0,0],[9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9],[7,7,7,7,7,8,7,8,7,7,7],[7,7,8,7,7,7,7,7,7,7,7]],"output":[[1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1],[1,7,7,7,7,7,7,7,7,7,7],[... | 0 | dataset=solve_zindex group=mask_of_intersection_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=small task_pixels=b | |
Simon-Solve-V1 predict pixels for O3T | I0
12 13 564a543645a4,454a53a545a4,c523a4a545,5a423454c5,5a435a645b4,a564545a65a4,d546a5a64,4a54c54b5,4646g5,45656a4d5,c5645c45,b5a4d545,54b5b4a6a5
O0
12 13 a5a6b4b545,54d5a4b5,5c4546c5,d5a465654,g56464,b54c54a54,4a6a564d5,a45a654546a5,b454a653a45,c545432a45,54a5a432c5,a454a53a5454,a454634a5465
I1
13 15 8d018b0a8,a8080... | 5535555555555555555
5553555555555555555
5555355555555555555
5555535555555553555
5555553555555503555
5555555355555053555
5555555535555055355
5555555553550558355
5555555555335585355
5555555555053855355
5555555555058355535
5555555550585535535
5555555505555553535
5555555055555555335
5555555055555555533
5555550555555555553
... | {"train":[{"input":[[5,6,4,5,5,4,3,6,4,5,4,4],[4,5,4,5,5,3,5,5,4,5,4,4],[5,5,5,5,2,3,4,4,5,5,4,5],[5,4,4,2,3,4,5,4,5,5,5,5],[5,4,4,3,5,6,6,4,5,4,4,4],[5,5,6,4,5,4,5,6,6,5,4,4],[5,5,5,5,5,4,6,5,5,6,6,4],[4,5,5,4,5,5,5,5,4,5,5,5],[4,6,4,6,5,5,5,5,5,5,5,5],[4,5,6,5,6,4,4,5,5,5,5,5],[5,5,5,5,6,4,5,4,4,4,4,5],[5,5,5,4,4,5,5... | 0 | dataset=solve_rotate group=rotate_180 predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d | |
Simon-Solve-V1 predict raw pixels for 'O2T' | I0
6 6 42a4a2,2d4,42c4,24a2a9,4242a9,b4929
O0
2 2 4,49
I1
6 3 b6b5,,626b5
O1
2 1 65
I2T
3 3 2,,
O2T
None | 2 | {"train":[{"input":[[4,2,4,4,2,2],[2,4,4,4,4,4],[4,2,4,4,4,4],[2,4,2,2,9,9],[4,2,4,2,9,9],[4,4,4,9,2,9]],"output":[[4,4],[4,9]]},{"input":[[6,6,6,5,5,5],[6,6,6,5,5,5],[6,2,6,5,5,5]],"output":[[6,5]]}],"test":[{"input":[[2,2,2],[2,2,2],[2,2,2]],"output":[[2]]}]} | 0 | dataset=solve_scale group=scale_x3down_y3down_noise2 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
simonsolveversion1 predict raw pixels for O4T | I0
1 1 0
O0
1 2 0,
I1
2 1 49
O1
2 2 49,
I2
7 1 3b0a17
O2
7 2 3b0a17,
I3
2 2 48,
O3
2 4 48,,,
I4T
3 1 a01
O4T
None
I5T
1 2 3,1
O5T
None | 001
001 | {"train":[{"input":[[0]],"output":[[0],[0]]},{"input":[[4,9]],"output":[[4,9],[4,9]]},{"input":[[3,0,0,0,1,1,7]],"output":[[3,0,0,0,1,1,7],[3,0,0,0,1,1,7]]},{"input":[[4,8],[4,8]],"output":[[4,8],[4,8],[4,8],[4,8]]}],"test":[{"input":[[0,0,1]],"output":[[0,0,1],[0,0,1]]},{"input":[[3],[1]],"output":[[3],[3],[1],[1]]}]} | 0 | dataset=solve_scale group=scale_x1_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
simon-cellular-automata, What transformation happens here. gameoflife_nowrap,maze_nowrap,gameoflife_wrap,highlife_nowrap | 14 19 c85b8585a85,a585a8a5e8,a5a8c5c8a5,c85c85a8a5,a5c8c5c8,5d85a8c58,a5c8c5c8,5a85a85b85b8,b58585f8,a8e5a85b8,5b858c5b85,d8b585b85,b8c5f8,a58c5f8,5d85f8,5b8a5f85,a858585f8,a8a5a8a5c858,b8c5b85b8
14 19 585e85c8,8b5c85b858,8c5a8a5b858,c85c85a858,a5b8b5e8,d85d85a8,a5b8a585d8,b85a858a5b85,5l8,a85e85b85,5g8a5a85,5a85d85b85... | gameoflife_nowrap=0,maze_nowrap=0,gameoflife_wrap=1,highlife_nowrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
SIMONCELLULARAUTOMATON, Cave wrap=both. steps=1. live=2. dead=8. | 7 26 8,a8282a8,8,,,,,,,,,,,,,,,,,,,,,,, | 7 26 8,,,,,,,,,,,,,,,,,,,,,,,,, | null | null | null | dataset=cellular_automaton group=cave_wrap ca_step=1 image_width=small image_height=large |
simonsolvev1 predict raw pixels for 'O4T' | I0
2 5 9,3,,9,1
O0
1 5 9,3,,9,1
I1
6 4 a8c6,a9a0a8,a3c9,8
O1
3 4 8a6,908,3a9,8
I2
4 1 6
O2
2 1 6
I3
2 1 1
O3
1 1 1
I4T
2 5 0,1,,,
O4T
None
I5T
6 4 a9c6,a9a6a9,a9c6,6
O5T
None | 0
1
1
1
1 | {"train":[{"input":[[9,9],[3,3],[3,3],[9,9],[1,1]],"output":[[9],[3],[3],[9],[1]]},{"input":[[8,8,6,6,6,6],[9,9,0,0,8,8],[3,3,9,9,9,9],[8,8,8,8,8,8]],"output":[[8,6,6],[9,0,8],[3,9,9],[8,8,8]]},{"input":[[6,6,6,6]],"output":[[6,6]]},{"input":[[1,1]],"output":[[1]]}],"test":[{"input":[[0,0],[1,1],[1,1],[1,1],[1,1]],"out... | 0 | dataset=solve_scale group=scale_x2down_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-V1, O4T, predict raw pixels | I0
28 5 4a58548485a48684b8d4a254,b85a84e0585d8b283a4,4l85a85b2584a838,a5a85a4a848a4a8b2g838,4a85a84c848a2584a8454a84a8
O0
28 5 a84a8454a8485a284c84a85a84,83g8b2a8a484a8a45a8a5,83a8485b25a85l84,a438b2d8585e04a85b8,45a2d4b84868a45848458a54
I1
5 8 b986,96989,59689,56969,59a69,969a6,a6969,69695
O1
5 8 59696,969a6,a6969,9a6... | 499904999004
949944999994
998949999989
909980994499
049990999940
099990944894
494840908999
990499009904
944499008994
499999004249
999499090209
949490040299
949999042099
949949082009
499440082909
099111111114
999994402889
448499909944
999999800899
489999900999
999994999999
909944999984
499494908499 | {"train":[{"input":[[4,5,5,8,5,4,8,4,8,5,4,4,8,6,8,4,8,8,8,4,4,4,4,4,2,2,5,4],[8,8,8,5,8,8,4,0,0,0,0,0,0,5,8,5,8,8,8,8,8,2,2,2,8,3,4,4],[4,8,8,8,8,8,8,8,8,8,8,8,8,8,5,8,8,5,2,2,2,5,8,4,8,8,3,8],[5,5,8,8,5,4,4,8,8,4,8,4,4,8,8,2,2,2,8,8,8,8,8,8,8,8,3,8],[4,8,8,5,8,8,4,8,8,8,8,4,8,2,2,5,8,4,8,8,4,5,4,8,8,4,8,8]],"output":... | 1 | dataset=solve_rotate group=rotate_180 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
SIMON-SOLVE-VERSION1 predict raw pixels for O2T | I0
10 12 a828e2,a8b282a82,g4a2,a4g5,,,,,g4a8,g428,b2828c2,c28282a8
O0
10 12 a828e2,a8b282a82,g4a2,g4a5,,,,,g4a8,g428,b2828c2,c28282a8
I1
12 13 2b82a8a2a82,c8a28d2,a82d58a28,2a8d5a282,282d58282,828d52a82,8a2d52828,824d5a4a2,a84d5a482,a24d5a4a2,a24d5a482,2a8d528a2,2a8d5c2
O1
12 13 2b82a8a2a82,c8a28d2,a82d58a28,2a8d5a282,... | 22828822822288
88888282282282
22222822222228
44444444444444
44444444444444
44444444444444
44444444444444
44444444444444
44444444444444
44444444444444
44444444444444
44444444444444 | {"train":[{"input":[[8,8,2,8,2,2,2,2,2,2],[8,8,2,2,2,8,2,8,8,2],[4,4,4,4,4,4,4,4,2,2],[4,4,5,5,5,5,5,5,5,5],[4,4,5,5,5,5,5,5,5,5],[4,4,5,5,5,5,5,5,5,5],[4,4,5,5,5,5,5,5,5,5],[4,4,5,5,5,5,5,5,5,5],[4,4,4,4,4,4,4,4,8,8],[4,4,4,4,4,4,4,4,2,8],[2,2,2,8,2,8,2,2,2,2],[2,2,2,2,8,2,8,2,8,8]],"output":[[8,8,2,8,2,2,2,2,2,2],[8,... | 0 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMONSOLVEVERSION1, 'O3T', predict the pixels | I0
7 12 b5c0,0d40,,,,5d45,0d45,0b4645,5b4645,0b4640,5b4645,5b05a0
O0
7 12 b5c0,0d40,,,,5d45,0d45,,5d45,0d40,5d45,5b05a0
I1
6 9 a06b4,056b4,a06b4,a0c4,,a5c4,a0c4,50c4,0
O1
6 9 a0c4,05c4,a0c4,,,a5c4,a0c4,50c4,0
I2
9 7 g45,b6d45,,,g40,,05b0a5a0
O2
9 7 g45,,,,g40,,05b0a5a0
I3T
7 12 0b5a05,05d0,a0a6b0,a4a6a40,,a4a6a45,,,a4a... | 0555005
0500000
0066000
4444440
4444440
4444445
4444445
4444445
4444440
4444445
4444445
5000550 | {"train":[{"input":[[5,5,5,0,0,0,0],[0,4,4,4,4,4,0],[0,4,4,4,4,4,0],[0,4,4,4,4,4,0],[0,4,4,4,4,4,0],[5,4,4,4,4,4,5],[0,4,4,4,4,4,5],[0,4,4,4,6,4,5],[5,4,4,4,6,4,5],[0,4,4,4,6,4,0],[5,4,4,4,6,4,5],[5,0,0,0,5,0,0]],"output":[[5,5,5,0,0,0,0],[0,4,4,4,4,4,0],[0,4,4,4,4,4,0],[0,4,4,4,4,4,0],[0,4,4,4,4,4,0],[5,4,4,4,4,4,5],[... | 0 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
Simon-Solve-Version1 'O3T' predict the raw pixels | I0
14 12 h961969,6d9b691a69,a9e6961a69,a9a6c9a61b9,a969b6b91b9,f96a51b5,g9a61696,96g91969,b96a9a6a916a9,9a6b9c61b9,96c96b91a96,96d96a91a96
O0
14 12 h961969,6d9b691a69,a9e6961a69,a9a6c9a61b9,a969b6b91b9,f96e5,g9a61696,96g91969,b96a9a6a916a9,9a6b9c61b9,96c96b91a96,96d96a91a96
I1
15 6 c96a96a9a6b9,5,h1e5,h19696a9,h196c9,9... | 9969999999
9699699999
9999999999
9555555555
9555555555
9555555555
9555555555
9555555555
9555555555
9999699999
9999999999 | {"train":[{"input":[[9,9,9,9,9,9,9,9,9,6,1,9,6,9],[6,9,9,9,9,9,6,6,6,9,1,6,6,9],[9,9,6,6,6,6,6,6,9,6,1,6,6,9],[9,9,6,6,9,9,9,9,6,6,1,9,9,9],[9,9,6,9,6,6,6,9,9,9,1,9,9,9],[9,9,9,9,9,9,9,6,5,5,1,5,5,5],[9,9,9,9,9,9,9,9,6,6,1,6,9,6],[9,6,9,9,9,9,9,9,9,9,1,9,6,9],[9,9,9,6,9,9,6,6,9,9,1,6,9,9],[9,6,6,9,9,9,6,6,6,6,1,9,9,9],... | 0 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c | |
SIMON-SOLVE-VERSION1 predict pixels for 'O4T' | I0
3 6 1,2,3,,,
O0
1 6 1,2,3,,,
I1
3 3 5,,
O1
1 3 5,,
I2
6 6 b2b9,b1b9,b5b9,b1b2,,b5b2
O2
2 6 29,19,59,12,,52
I3
6 6 8,b5b0,,b5b8,8,
O3
2 6 8,50,,58,8,
I4T
3 2 1,8
O4T
None | 1
8 | {"train":[{"input":[[1,1,1],[2,2,2],[3,3,3],[3,3,3],[3,3,3],[3,3,3]],"output":[[1],[2],[3],[3],[3],[3]]},{"input":[[5,5,5],[5,5,5],[5,5,5]],"output":[[5],[5],[5]]},{"input":[[2,2,2,9,9,9],[1,1,1,9,9,9],[5,5,5,9,9,9],[1,1,1,2,2,2],[1,1,1,2,2,2],[5,5,5,2,2,2]],"output":[[2,9],[1,9],[5,9],[1,2],[1,2],[5,2]]},{"input":[[8,... | 0 | dataset=solve_scale group=scale_x3down_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMONSCELLULARAUTOMATA, Maze with wrap. steps=1. dead=5 alive=0 | 5 26 5,,,,,,,,,,,,,,,,,,,,,,,,, | 5 26 5,,,,,,,,,,,,,,,,,,,,,,,,, | null | null | null | dataset=cellular_automaton group=maze_wrap ca_step=1 image_width=small image_height=large |
simon-solve-version1, 'O3T', predict the raw pixels | I0
5 9 8a9a8,9a832,a8926,96828,892a8,a5783,697a8,89898,a83a8
O0
5 9 a83a8,89898,a8796,387a5,a8298,82869,629a8,23a89,a8a98
I1
9 3 4g0,0b574b0,a0a40a7a0
O1
9 3 a0a70a4a0,b047b50,g04
I2
3 16 a63,6,936,a36,6a3,a69,613,916,915,685,385,515,653,351,616,693
O2
3 16 396,616,153,356,515,583,586,519,619,316,9a6,a36,6a3,639,6,3a6
... | 7797749779747044
7797774477077777
0744074977047770
9077777777740097
4794797707007707
0779704044447779
0090700777777097
0477549749709709
0079507794447947
7700577941111177
7074251110740000
7944050444070400
7777750779944074
0407404047077070
7747440477070777
7707440400797900
7777944974744479
7777747747070474
79077477707044... | {"train":[{"input":[[8,9,9,8,8],[9,8,8,3,2],[8,8,9,2,6],[9,6,8,2,8],[8,9,2,8,8],[5,5,7,8,3],[6,9,7,8,8],[8,9,8,9,8],[8,8,3,8,8]],"output":[[8,8,3,8,8],[8,9,8,9,8],[8,8,7,9,6],[3,8,7,5,5],[8,8,2,9,8],[8,2,8,6,9],[6,2,9,8,8],[2,3,8,8,9],[8,8,9,9,8]]},{"input":[[4,0,0,0,0,0,0,0,0],[0,5,5,5,7,4,0,0,0],[0,0,4,4,0,7,7,0,0]],... | 0 | dataset=solve_rotate group=rotate_180 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c | |
SimonsCellularAutomaton, HighLife wrap=xy. steps=1. alive=1. dead=5. | 5 17 a1515,c51,515a1,5b15,15151,a1b5,51a51,c51,1c5,1a515,a1b5,1a5a1,b5a1,5,,,1 | 5 17 c51,51b5,51a51,5,51a51,a5a15,51a51,c51,1c5,,5c1,5b15,1a515,5,,1,b515 | null | null | null | dataset=cellular_automaton group=highlife_wrap ca_step=1 image_width=small image_height=medium |
Simon-Solve-V1, O3T, predict pixels | I0
12 8 i707,70i7,i707,d70a70780,i787,b70g7,70g707,7
O0
12 8 1,,,i131,,1,,
I1
8 7 7,b7a8b7,,0a7a8b7,707a8b7,b7a8b7,
O1
8 7 1,b1a3b1,,,,,
I2
7 6 0e7,7e8,,,,7
O2
7 6 1,1e3,,,,1
I3T
6 7 b7a07,0d7,c707,7c87,0c87,7c87,0c87
O3T
None
I4T
7 12 d707,0a7c8,707c8,a07c8,a70c8,707c8,,b7c8,a7070a7,0a7c0,0e7,c7070
O4T
None | 111111
111111
111111
133331
133331
133331
133331 | {"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,0,7],[7,0,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,0,7],[7,7,7,7,7,0,7,7,0,7,8,0],[7,7,7,7,7,7,7,7,7,7,8,7],[7,7,7,0,7,7,7,7,7,7,7,7],[7,0,7,7,7,7,7,7,7,7,0,7],[7,7,7,7,7,7,7,7,7,7,7,7]],"output":[[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1],[1,... | 0 | dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
SIMON-SOLVE-V1, O2T, predict raw pixels | I0
7 9 c5353,b3b23,353b25,353b23,b9b29,,,9,c35a3
O0
7 9 c5353,b3b23,353b25,353b23,9,,,,c35a3
I1
9 11 9,,,2,9,,,,,a5b35353,d35353
O1
9 11 9,,,,,,,,,a5b35353,d35353
I2T
11 8 h9a3,,h935,b92d9a3,b92d935,,h9a3,
O2T
None | 99999999933
99999999933
99999999935
99999999933
99999999935
99999999935
99999999933
99999999933 | {"train":[{"input":[[5,5,5,5,3,5,3],[3,3,3,2,2,2,3],[3,5,3,2,2,2,5],[3,5,3,2,2,2,3],[9,9,9,2,2,2,9],[9,9,9,2,2,2,9],[9,9,9,2,2,2,9],[9,9,9,9,9,9,9],[3,3,3,3,5,3,3]],"output":[[5,5,5,5,3,5,3],[3,3,3,2,2,2,3],[3,5,3,2,2,2,5],[3,5,3,2,2,2,3],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[3,3,3,3,5,3,3]]}... | 0 | dataset=solve_zindex group=move_obscured_rectangle_to_top predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a | |
Simon-Cellular-Automaton, Serviettes wrap=xy. steps=1. alive=3. dead=6. | 11 5 a6a363a63a6,a3636a36a36,363a63b6a3,6d3c63,3c6a36b3 | 11 5 a3h6,f63b6,e6b3a6,,63d63b6 | null | null | null | dataset=cellular_automaton group=serviettes_wrap ca_step=1 image_width=medium image_height=small |
Simon-Solve-Version1 'O3T' predict the pixels | I0
25 25 a45u4,f45b45i4545,a45a45g45g454,a45454b5d4a5f454,a45b45d45a4b5e45,45e4a5g45a45a45,d4a5a4a5a45i45,a4545d45e45b45454,45d45g45a45d4,4545e45d45b4a5b4,a4a5f45c454a5c45,e45a45a45a454545a45a4,d45b4a545c45b45454,f454a54545b45e4,5c4b5p4,d4b5p4,a45d4a5b4545a45e4,l454a5d4b5,a45h45b4a5f4,i45h45c4,s45c4,4545e45454545b45c4,... | 424224244224422242244
444444444444444444443
224244442242442242331
224442424244224433444
044555444242443324442
055444444222332244244
442425555555442244242 | {"train":[{"input":[[4,4,5,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,5,4,4,4,5,4,4,4,4,4,4,4,4,4,4,5,4,5],[4,4,5,4,4,5,4,4,4,4,4,4,4,4,5,4,4,4,4,4,4,4,4,5,4],[4,4,5,4,5,4,5,5,5,4,4,4,4,4,5,5,4,4,4,4,4,4,4,5,4],[4,4,5,4,4,4,5,4,4,4,4,4,5,4,4,5,5,5,4,4,4,4,4,4,5],[4,5,4,4,4,4,4,4,5,5,4,4,4,4,4,4,4,4,5,4... | 0 | dataset=solve_rotate group=flipb predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
simon-solve-v1, 'O4T', predict the raw pixels | I0
26 15 613181a8193a19191813181813,168a13981a3a838191b831a89,13a6c1a8a3a8b1a398b131,1918683181a3b8a1318938b1,895a163a1313b18a18183a131,135a316a138a3181a8191913a8,3a15341a63a13b9d18a181,13851a38961383183d18a19,1818534a136183b818183a8a1,13a151a3838a63e1891931,3a131534831a863a189a138383,81a8151a383b16b181831891,1a81985a3... | 9944999499499999999949494949
9499949999944949999999999499
9999999499999494444999999449
9494999999994949499499499494
4944999999999999944449494999
9999999999449999994499999994
4999499999999999999999949949
4494994499499499999999994999
9994499499999494999944499999
4494449999444999449994999999
9949999944999999999949499494
9... | {"train":[{"input":[[6,1,3,1,8,1,8,8,1,9,3,1,1,9,1,9,1,8,1,3,1,8,1,8,1,3],[1,6,8,1,1,3,9,8,1,3,3,8,8,3,8,1,9,1,8,8,8,3,1,8,8,9],[1,3,6,6,1,1,1,1,8,8,3,3,8,8,1,1,1,3,3,9,8,1,1,1,3,1],[1,9,1,8,6,8,3,1,8,1,3,3,8,8,8,1,1,3,1,8,9,3,8,1,1,1],[8,9,5,1,1,6,3,1,1,3,1,3,1,1,1,8,1,1,8,1,8,3,1,1,3,1],[1,3,5,3,3,1,6,1,1,3,8,3,3,1,8... | 0 | dataset=solve_rotate group=flipa predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d | |
simons-cellular-automata, What transformation happens here. cave_wrap,highlife_nowrap,gameoflife_nowrap,serviettes_nowrap | 22 18 7f979a7g9a7,7d9a797i979,7b97979b7h979,797979797b9a7g9,797b97979b79797c97,97d9b79a797a9797a9,9b79797a9a79b797c9,d9797a9797a97e9,a9b7a9a7979a7g9,a97a9a7d9d7d9,79b7d9a7d97b97,d9797c979a797a979,7a9a7b9b79797a97a9a7,c9b797e9797c9,a7e9a7d9a7a9b7,979c7i9b7a9,a79a7c9a7g9797,9797a9797c97c9a7a9
22 18 97c9a797h97a9,97b97d97... | cave_wrap=0,highlife_nowrap=0,gameoflife_nowrap=0,serviettes_nowrap=1 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
SIMON-SOLVE-V1, O2T, predict raw pixels | I0
1 7 5,,3,5,2,,
O0
3 7 5,,3,5,2,,
I1
1 1 0
O1
3 1 0
I2T
1 6 4,1,,,,
O2T
None
I3T
1 3 1,3,
O3T
None | 444
111
111
111
111
111 | {"train":[{"input":[[5],[5],[3],[5],[2],[2],[2]],"output":[[5,5,5],[5,5,5],[3,3,3],[5,5,5],[2,2,2],[2,2,2],[2,2,2]]},{"input":[[0]],"output":[[0,0,0]]}],"test":[{"input":[[4],[1],[1],[1],[1],[1]],"output":[[4,4,4],[1,1,1],[1,1,1],[1,1,1],[1,1,1],[1,1,1]]},{"input":[[1],[3],[3]],"output":[[1,1,1],[3,3,3],[3,3,3]]}]} | 0 | dataset=solve_scale group=scale_x3up_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMON-SOLVE-VERSION1, 'O3T', predict the raw pixels | I0
2 1 8
O0
1 3 8,,
I1
2 1 9
O1
1 3 9,,
I2T
2 2 5,6
O2T
None
I3T
4 2 8,a3a4
O3T
None | 88
88
88
34
34
34 | {"train":[{"input":[[8,8]],"output":[[8],[8],[8]]},{"input":[[9,9]],"output":[[9],[9],[9]]}],"test":[{"input":[[5,5],[6,6]],"output":[[5],[5],[5],[6],[6],[6]]},{"input":[[8,8,8,8],[3,3,4,4]],"output":[[8,8],[8,8],[8,8],[3,4],[3,4],[3,4]]}]} | 1 | dataset=solve_scale group=scale_x2down_y3up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a | |
SIMONSCELLULARAUTOMATA, Identify the transformation. serviettes_nowrap,gameoflife_wrap | 21 27 28b28a2a828b2a82b8,282c8d2a8b2a8a2,2b82828c282b82b8,c2c8a2b828a28a28,28a2a828e282a8b2,a2a8282g82c82,b8c28c282a8a2a82,8a28c2b8b2c8b2,b8a2828b2b82e8,a282a828b282828a28a2,828b282c8a282d8,8b28c28282a8a28a28,d28e2a8282b82,8c28a2828c2828282,b8a28282b828282c8,8a2828a282a82c82b8,c8282b8a2b8282a82,8282c8a2b82a8282a8,a82a8... | serviettes_nowrap=0,gameoflife_wrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large |
simonsolvev1, O2T, predict pixels | I0
6 13 a5a4a5,,,,85a4a5,a5a4a5,85a4a5,a5a4a5,,,a5a458,,a5a4a5
O0
6 13 a3a2a3,,,,,,,,,,,,
I1
13 6 58a58g5,8d58a58585,8c58e58,4,,
O1
13 6 3,,,2,,
I2T
6 9 b5b4,8a5b4,5a8b4,b5b4,8d5,8a5a85,58a585,b5b8,c585
O2T
None | 333222
333222
333222
333222
333333
333333
333333
333333
333333 | {"train":[{"input":[[5,5,4,4,5,5],[5,5,4,4,5,5],[5,5,4,4,5,5],[5,5,4,4,5,5],[8,5,4,4,5,5],[5,5,4,4,5,5],[8,5,4,4,5,5],[5,5,4,4,5,5],[5,5,4,4,5,5],[5,5,4,4,5,5],[5,5,4,4,5,8],[5,5,4,4,5,8],[5,5,4,4,5,5]],"output":[[3,3,2,2,3,3],[3,3,2,2,3,3],[3,3,2,2,3,3],[3,3,2,2,3,3],[3,3,2,2,3,3],[3,3,2,2,3,3],[3,3,2,2,3,3],[3,3,2,2,... | 0 | dataset=solve_zindex group=mask_of_primary_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=a | |
SimonCellularAutomaton, What transformation happens here. cave_nowrap,maze_nowrap,serviettes_nowrap | 27 13 2,,,,,,,,,,,,
27 13 2,,,,,,,,,,,, | cave_nowrap=1,maze_nowrap=1,serviettes_nowrap=1 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium |
simon-cellular-automaton, Given two images, recognize the transformations. cave_nowrap,maze_wrap,cave_wrap | 15 12 c29i2,2,,,,,,,,,,
15 12 2,,,,,,,,,,, | cave_nowrap=1,maze_wrap=1,cave_wrap=1 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
SIMONSCELLULARAUTOMATA, Recognize the transformation. maze_nowrap,gameoflife_nowrap,gameoflife_wrap,cave_wrap | 26 21 b0606d06a06f06b0,i0e6a0b6d0,c6j0a606a06a0a6,f0a6c0a606b0a6b06,a60a6b0a6e0a6b0c60,a6a0606a060606d0606b06,b6a0b606f06b06a0a6,b060b6p06,d0b6h0606d06,6b0606k0a6d0,a6a0a6b0a6e06b0a6b0,0a6f06n0,b0a6b0b6d06d06b0,a0a6d0b6h06c0,h06o0,06d060b6g06d0,6e0a6h0a6d06,060606d0a6e0a6d0,b606f0a6g06b0,a06a06d06i06060,c6f06b06b06e0
2... | maze_nowrap=0,gameoflife_nowrap=0,gameoflife_wrap=0,cave_wrap=0 | null | null | null | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large |
SIMON-SOLVE-VERSION1 predict raw pixels for 'O3T' | I0
11 14 2,2g0a2,2b0d8a2,3b0d832,2b0d8a2,,,,,2b0d8a3,2b0d8a2,2,b2323c23,2
O0
11 14 1,1g5a1,,,,,,,,,,1,,
I1
14 7 a2h8a32,20h8b2,20h83a2,30h8b2,30h8323,2i0a32,3i0b3
O1
14 7 1,1i5b1,,,,,
I2
6 8 3a0b8,2a0b8,,,,,3a0b8,2b0a2
O2
6 8 1b5a1,,,,,,,
I3T
8 13 2,a23d2,b23c2,b2823a2,b28c2,b283232,b28c2,,,2a08c0,2f0,a3e2,2
O3T
None | 11111111
11111111
11111111
11111111
11111111
11111111
11111111
11111111
11111111
15555555
15555555
11111111
11111111 | {"train":[{"input":[[2,2,2,2,2,2,2,2,2,2,2],[2,0,0,0,0,0,0,0,0,2,2],[2,0,0,0,8,8,8,8,8,2,2],[3,0,0,0,8,8,8,8,8,3,2],[2,0,0,0,8,8,8,8,8,2,2],[2,0,0,0,8,8,8,8,8,2,2],[2,0,0,0,8,8,8,8,8,2,2],[2,0,0,0,8,8,8,8,8,2,2],[2,0,0,0,8,8,8,8,8,2,2],[2,0,0,0,8,8,8,8,8,3,3],[2,0,0,0,8,8,8,8,8,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,3,2,3... | 0 | dataset=solve_zindex group=mask_of_obscured_rectangle predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b | |
simonsolvev1, O3T, predict raw pixels | I0
4 23 0,a060,,,,,,,,,,,b06,,,,,,,,,,
O0
4 23 6b0,,,,,,,,,,,06a0,,,,,,,,,,,0
I1
23 22 8,,80t8,a83s8,b830q8,b8131p8,c8131o8,d8131n8,e81310l8,g83a1k8,h8381j8,i8a31i8,k831h8,h81b83a1f8,i81b8381e8,j81b8381d8,k81b8381c8,k81c838a1a8,l81f818,m81f81,8,
O1
23 22 8,,1f81m8,81f81l8,a8a183c81k8,c8183b81k8,d8183b81j8,e8183b81i8,f8... | 090
399
030
933
003
033
900
303
090
303
300
003
099
900
090
309
039
033
090
000
330
090 | {"train":[{"input":[[0,0,0,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,6,0],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6],[0,0,0,6]],"output":[[6,0,0,0],[6,0,0,0],[6,0,0,0],[6,0,0,0],[6,0,0,0],[6,0,0,0]... | 1 | dataset=solve_rotate group=rotate_180 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c |
End of preview. Expand in Data Studio
Version 1
A combination of multiple datasets.
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 2
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 3
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 4
Added a shared dataset name for all these datasets: SIMON-SOLVE-V1. There may be higher version numbers in the future.
My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.
Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.
Version 5
Different random seed.
Version 6
Using SIMON-SOLVE-V1 everywhere. Remove the SIMON-SOLVE-COLOR, SIMON-SOLVE-ROTATE, SIMON-SOLVE-TRANSLATE.
Version 7
Using SIMON-SOLVE-V1 everywhere.
Version 8
Same settings. Different seed as usual.
Version 9
Switching from context length 256 to context length 512.
Increasing the image sizes so the prompt length stays below 512.
dataset_solve_color, image size: 1-13.
dataset_solve_rotate, image size: 1-9.
dataset_solve_translate, image size: 3-9.
Version 10
Same settings. Different seed as usual.
Version 11
Same settings. Different seed as usual.
Version 12
Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.
Version 13
Same settings. Different seed as usual.
Version 14
Same settings. Different seed as usual.
Version 15
Same settings. Different seed as usual.
Version 16
Added Predict the output image.
Disabled prediction of rows.
Disabled prediction of height.
Verison 17
Same settings. Different seed as usual.
Using the DatasetGenerator and the DatasetItemListBuilder.
Verison 18
Added datasets.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonl- added.dataset_shape.jsonl- added.
Verison 19
Added dataset.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonldataset_shape.jsonldataset_image.jsonl- added.
Verison 20
Bigger images.
Verison 21
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_shape.jsonldataset_mass.jsonl- added.
Verison 22
Added dataset.
Datasets:
dataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_cellular_automaton.jsonldataset_shape.jsonldataset_image.jsonldataset_mass.jsonldataset_histogram.jsonl- added.
Bigger image sizes.
Number of rows=200k. Was previously 100k rows.
Verison 23
datset_mass.jsonl. increased to max_mass=5.
Verison 24
datset_mass.jsonl. increased to max_mass=6.
Verison 25
different seed.
Verison 26
datset_mass.jsonl. increased to max_mass=25.
different seed.
Verison 27
different seed.
Verison 28
different seed.
Verison 29
different seed.
Verison 30
different seed.
Verison 31
different seed.
Verison 32
different seed.
Verison 33
Disabled some dataset.
Datasets:
dataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_mass.jsonldataset_shape.jsonldataset_solve_color.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_translate.jsonl- disableddataset_cellular_automaton.jsonl
Verison 34
Enabled all datasets.
Version 35
Regenerated all datasets with new random seeds.
Verison 36
Added dataset dataset_scale.jsonl.
Disabled some dataset.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_mass.jsonldataset_scale.jsonldataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonl
Verison 37
Enabled all datasets
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonl
Verison 38
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- added
Version 39
Regenerated all datasets with new random seeds.
Version 40
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonl- addeddataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 41
Regenerated all datasets with new random seeds.
Version 42
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonl- addeddataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 43
Enabled all datasets.
Version 44
Regenerated all datasets with new random seeds.
Version 45
Extended the dataset_shape.jsonl with these new PixelConnectivity types: CORNER4, LR2, TB2, TLBR2, TRBL2.
Hopefully it makes the model better at making sense of diagonal structures, which is something it's terrible at at the moment.
Version 46
Regenerated all datasets with new random seeds.
Version 47
Added dataset. Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonl- addeddataset_solve_translate.jsonldataset_symmetry.jsonl
Version 48
Enabled all datasets.
Version 49
Bigger max_mass. From 6 to 8.
Version 50
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_histogram.jsonldataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 51
Regenerated all datasets with new random seeds.
Version 52
Regenerated all datasets with new random seeds.
Version 53
Regenerated all datasets with new random seeds.
Version 54
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_erotion.jsonl- addeddataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 55
Added dataset. Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonl- addeddataset_erotion.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_symmetry.jsonl- disabled
Version 56
Enabled all datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 57
Regenerated all datasets with new random seeds.
Version 58
Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 59
Added new datasets.
Disabled most datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonl- addeddataset_solve_fractal.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 60
Incremented random seed
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 61
Enabled all datasets.
More padding inside the dataset_solve_fractal.jsonl.
Version 62
All datasets still enabled.
Turning up the parameter for dataset_solve_fractal.jsonl.
scale_input from 3 to 4.
scale_output from 3 to 4.
max_image_size from 3 to 4.
max_pad_count from 4 to 5.
Version 63
Disabled several datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonldataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonldataset_solve_translate.jsonl- disableddataset_symmetry.jsonl- disabled
Version 64
Added dataset.
Increased the number of rows in the jsonl file from 200k to 300k.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl
Version 65
random seed.
Version 66
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonldataset_scale.jsonl- disableddataset_shape.jsonldataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_erosion.jsonl- disableddataset_solve_fractal.jsonl- disableddataset_solve_outline.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_symmetry.jsonl- disabled
Version 67
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonl- enableddataset_solve_compress.jsonl- enableddataset_solve_erosion.jsonl- enableddataset_solve_fractal.jsonl- enableddataset_solve_outline.jsonl- enableddataset_solve_rotate.jsonl- enableddataset_solve_scale.jsonl- enableddataset_solve_symmetry.jsonl- enableddataset_solve_translate.jsonl- enableddataset_symmetry.jsonl
Version 68
Enabled all datasets.
Version 69
Different random seed.
Version 70
Different random seed.
Version 71
Different random seed.
Version 72
Different random seed.
Version 73
Different random seed.
Version 74
Major update to dataset_solve_symmetry.jsonl.
Version 75
Different random seed.
Version 76
Disabled some datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_symmetry.jsonl- disabled
Version 77
Enabled all datasets.
Version 78
Major update to dataset_solve_symmetry.jsonl.
Version 79
Different random seed.
Version 80
Different random seed.
Version 81
Different random seed.
Version 82
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonl- addeddataset_symmetry.jsonl
Version 83
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 84
Added dataset dataset_solve_grid.jsonl.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonl- addeddataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 85
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 86
Enabled all datasets.
Version 87
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 88
Added dataset dataset_solve_probecolor.jsonl with all directions enabled.
Disabled datasets that doesn't solve ARC puzzles.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 89
Enabled all datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 90
Disabled some of the datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonldataset_solve_erosion.jsonl- disableddataset_solve_fractal.jsonldataset_solve_grid.jsonl- disableddataset_solve_outline.jsonl- disableddataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonl- disableddataset_solve_zindex.jsonl- disableddataset_symmetry.jsonl- disabled
Version 91
Added dataset.
Enabled all datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_mass.jsonl- addeddataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 92
Different random seed.
Version 93
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonl- addeddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 94
Added dataset.
Disabled datasets that doesn't solve ARC tasks.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonl- addeddataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 95
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonl- addeddataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 96
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonl- major update.dataset_symmetry.jsonl
Version 97
Disabled the first half of the datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 98
Disabled the last half of the datasets.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonl- disableddataset_solve_erosion.jsonl- disableddataset_solve_fractal.jsonl- disableddataset_solve_grid.jsonl- disableddataset_solve_half.jsonl- disableddataset_solve_mass.jsonl- disableddataset_solve_outline.jsonl- disableddataset_solve_probecolor.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_solve_zindex.jsonl- disableddataset_symmetry.jsonl- disabled
Version 99
Disabled the 1/4th of the datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonl- disableddataset_solve_color.jsonl- disableddataset_solve_compress.jsonl- disableddataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonl- disableddataset_solve_rotate.jsonl- disableddataset_solve_scale.jsonl- disableddataset_solve_symmetry.jsonl- disableddataset_solve_translate.jsonl- disableddataset_solve_zindex.jsonl- disableddataset_symmetry.jsonl- disabled
Version 100
Added dataset.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonl- addeddataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 101
Disabled the non solving datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 102
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonl- addeddataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 103
Different random seed.
Version 104
Disabled the non solving datasets.
Datasets:
dataset_cellular_automaton.jsonl- disableddataset_dilation.jsonl- disableddataset_erotion.jsonl- disableddataset_histogram.jsonl- disableddataset_image.jsonl- disableddataset_image_pair.jsonl- disableddataset_mass.jsonl- disableddataset_scale.jsonl- disableddataset_shape.jsonl- disableddataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl- disabled
Version 105
Major update to dataset_solve_scale.jsonl with scaling down noisy images.
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonl- scale down noisy imagesdataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 106
Different random seed.
Version 107
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonl- addeddataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 108
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_flip.jsonl- addeddataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 109
Different random seed.
Version 110
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_flip.jsonldataset_solve_fractal.jsonldataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_halfplane.jsonl- addeddataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 111
Different random seed.
Version 112
Different random seed.
Version 113
Different random seed.
Version 114
Major update to the dataset_solve-mass.jsonl, so it now includes mass_compare_adjacent_rows and mass_compare_adjacent_columns.
Version 115
Added dataset
Datasets:
dataset_cellular_automaton.jsonldataset_dilation.jsonldataset_erotion.jsonldataset_histogram.jsonldataset_image.jsonldataset_image_pair.jsonldataset_mass.jsonldataset_scale.jsonldataset_shape.jsonldataset_solve_bool.jsonldataset_solve_boundingbox.jsonldataset_solve_color.jsonldataset_solve_compress.jsonldataset_solve_edge.jsonldataset_solve_erosion.jsonldataset_solve_flip.jsonldataset_solve_fractal.jsonldataset_solve_gravity.jsonl- addeddataset_solve_grid.jsonldataset_solve_half.jsonldataset_solve_halfplane.jsonldataset_solve_mask.jsonldataset_solve_mass.jsonldataset_solve_outline.jsonldataset_solve_probecolor.jsonldataset_solve_ray.jsonldataset_solve_rotate.jsonldataset_solve_scale.jsonldataset_solve_symmetry.jsonldataset_solve_translate.jsonldataset_solve_zindex.jsonldataset_symmetry.jsonl
Version 116
Hypothesis. What if I train with a smaller dataset, will it converge faster? Reduced the number of rows in this dataset from 300k rows to 10k rows.
Version 117
Interesting, 10k rows seems to work fine with the model training. Picked new random rows.
Version 118
Still going with 10k rows. Picked new random rows.
Version 119
Still going with 10k rows. Picked new random rows.
Version 120
Switched to 20k rows.
Version 121
Still going with 20k rows. Picked new random rows.
Version 122
20k rows.
Added dataset_solve_reverse.jsonl.
Version 123
Doubled the number of rows to 40k rows.
Version 124
Set row count to 100k rows.
Major update to dataset_solve_gravity.jsonl.
Version 125
Row count: 100k rows.
Version 126
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
Version 127
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl
Version 128
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
Version 129
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
Version 130
Row count: 20k rows.
Only these datasets are enabled:
dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
Version 131
Switched back to 300k rows.
Enabled all the datasets.
Version 132
Random seed.
Version 133
Removed the rows that are longer than what can be fitted inside a 512 context length.
Version 134
Random seed.
Version 135
Random seed.
Version 136
Major update to the dataset_solve_gravity.jsonl file.
Version 137
Added dataset dataset_solve_skew.jsonl.
Version 138
Disabled several datasets.
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
# 'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
# 'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
Version 139
Disabled several datasets.
'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_solve_bool.jsonl',
# 'dataset_solve_boundingbox.jsonl',
# 'dataset_solve_color.jsonl',
# 'dataset_solve_compress.jsonl',
# 'dataset_solve_edge.jsonl',
# 'dataset_solve_erosion.jsonl',
# 'dataset_solve_flip.jsonl',
# 'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
# 'dataset_solve_grid.jsonl',
# 'dataset_solve_half.jsonl',
'dataset_solve_halfplane.jsonl',
# 'dataset_solve_mask.jsonl',
# 'dataset_solve_mass.jsonl',
# 'dataset_solve_outline.jsonl',
# 'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
'dataset_solve_reverse.jsonl',
# 'dataset_solve_rotate.jsonl',
# 'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
# 'dataset_solve_symmetry.jsonl',
# 'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
'dataset_symmetry.jsonl',
Version 140
Enabled all datasets.
Added new dataset: dataset_solve_cross.jsonl.
Version 141
Switched to 30k rows.
Disabled several datasets.
# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
# 'dataset_solve_cross.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',
Version 142
Switched to 300k rows.
Enabled all datasets.
Switched from 512 context to 1024 context.
Version 143
Bigger images in dataset_solve_cross.jsonl and in dataset_solve_mass.jsonl.
Version 144
Major update to dataset_solve_symmetry.jsonl.
Version 145
Added dataset_solve_span.jsonl.
Version 146
Extended dataset_solve_span.jsonl with generate_task_with_template_lines.
Version 147
Extended dataset_solve_span.jsonl with generate_task_with_alternate.
Version 148
Added dataset_solve_count.jsonl.
Version 149
Randomized.
Version 150
Upgraded context length for several datasets from 512 to 1024.
Version 151
Randomized.
Version 152
Randomized.
Version 153
Extended dataset_solve_mask.jsonl with generate_task_repair_rectangle_and_crop.
Version 154
Extended dataset_solve_color.jsonl with generate_task_replace_color.
Version 155
Major update to datasets in the range from dataset_solve_axxx.jsonl to dataset_solve_mask.jsonl.
Now there is an earlier prediction for the output that is to be predicted. It may contain a hint, or it may be garbage that is to be ignored.
Version 156
Only 2000 rows.
Only these datasets. 'dataset_cellular_automaton.jsonl', 'dataset_dilation.jsonl', 'dataset_erosion.jsonl', 'dataset_histogram.jsonl', 'dataset_image.jsonl', 'dataset_image_pair.jsonl', 'dataset_mass.jsonl', 'dataset_scale.jsonl', 'dataset_shape.jsonl', 'dataset_symmetry.jsonl',
Version 157
Only these datasets.
- 'dataset_solve_bool.jsonl',
- 'dataset_solve_boundingbox.jsonl',
- 'dataset_solve_color.jsonl',
- 'dataset_solve_compress.jsonl',
- 'dataset_solve_count.jsonl',
- 'dataset_solve_cross.jsonl',
- 'dataset_solve_edge.jsonl',
- 'dataset_solve_erosion.jsonl',
- 'dataset_solve_flip.jsonl',
- 'dataset_solve_fractal.jsonl',
- 'dataset_solve_gravity.jsonl',
- 'dataset_solve_grid.jsonl',
- 'dataset_solve_half.jsonl',
- 'dataset_solve_halfplane.jsonl',
- 'dataset_solve_mask.jsonl',
- 'dataset_solve_mass.jsonl',
- 'dataset_solve_outline.jsonl',
- 'dataset_solve_probecolor.jsonl',
- 'dataset_solve_ray.jsonl',
- 'dataset_solve_reverse.jsonl',
- 'dataset_solve_rotate.jsonl',
- 'dataset_solve_scale.jsonl',
- 'dataset_solve_span.jsonl',
- 'dataset_solve_skew.jsonl',
- 'dataset_solve_symmetry.jsonl',
- 'dataset_solve_translate.jsonl',
- 'dataset_solve_zindex.jsonl',
Version 158
Only these datasets.
dataset_solve_boundingbox.jsonldataset_solve_rectangle.jsonl
Versin 159
Enabled all the _solve_ datasets.
Version 160
Regenerated all the _solve_ datasets with new seed.
Version 161
Regenerated all the _solve_ datasets with new seed.
Version 162
Replaced RLE compressed response with raw pixel response.
Version 163
Added more generators
- DatasetSolveCount
- DatasetSolveCross
- DatasetSolveEdge
- DatasetSolveErosion
- DatasetSolveFlip
- DatasetSolveFractal
Version 164
Increased row count from 1000 to 2000.
Version 165
Added more generators.
Version 166
Added more generators.
Version 167
Added more generators.
Version 168
Added more generators.
Version 169
Generated data.
Version 170
Generated data.
Version 171
Generated data.
Increased output context length from 256 to 512.
Version 172
Generated data.
Version 173
Generated data.
Version 174
Generated data.
Version 175
Generated data.
Version 176
Generated data.
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