instruction stringlengths 18 163 | input stringlengths 4 1.93k | output stringlengths 1 4.1k | benchmark stringlengths 48 172 |
|---|---|---|---|
simon-histogram, remove histogram-b colors from histogram-a | 6:1591,2:1520,0:1085,1:971,3:869,4:769,9:492,7:276,8:226
3:169 | 6:1591,2:1520,0:1085,1:971,4:769,9:492,7:276,8:226 | dataset=histogram_two group=a_remove_b_colors histogram_size=d |
SimonsImageScale, Recognize the transformation. x6up_y2up,x2up_y1 | 1 12 8,,,,3,,,2,3,1,,3
6 24 8,,,,,,,,3,,,,,,2,,3,,1,,,,3, | x6up_y2up=1,x2up_y1=0 | dataset=scale group=recognize_transformation image_width=small image_height=medium scalex=up6 scaley=up2 |
Simon-Solve-V1 predict image for O3T | I0
15 6 d09b0b9a09,0b9a0a9c0b9,0m8,98d6g8,08d6g8,9m8
O0
15 6 6,,6m4,,,
I1
6 13 0909a0,a90b9,09c8,a9c8,a98a68,,908a68,90c8,a9c8,b0b9,9,a90a90,90a9a0
O1
6 13 6,,a6c4,,,,,,,6,,,
I2T
13 14 a90c90a9090,a9f890a9,a0f80b9,90a8b6a80a90,90a8b6a89a09,90a8b6a8a9a0,09a8b6a89b0,a0a8b6a8a9a0,a9a8b6a8c9,90a8b6a89b0,a0f809a0,a9f8c9,a909b09a0b9,b90f9a0
O2T
None
I3T
14 13 9a090b90d9,09090a9a0c90,9j809,9j8a9,0j8a9,0a8f6a8a9,0a8f6a890,a90f6b90,b9f6b09,b9f6c9,c9c0d90,9090b9b0a9a0,90909b090c9
O3T
None | 14 13 6,,6j4a6,,,,,6,,,,, | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
simon-arc-image-dilation dilation mask LR2 | 9 4 71a671b7,a7a4a3a41,b73a4a31,67a4d7 | 9 4 12a1a21a0,0g1,a012d1,12b1c0 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=lr2 |
simonsolvev1 'O3T' predict the image | I0
40 26 0,,,,,b0s6a1i6d0,,b0q6a1a6a1g6d0,,b0o6c1a6a1g6d0,,b0k6a1m6a1a6d0,,b0i6a1a6a1i6a1a6a1d0,,b0g6c1a6a1g6c1a6a1d0,,b0c6a1e6a1m6a1a6d0,,b0a6a1a6a1a6a1a6a1i6a1a6a1d0,,b0c1a6e1a6a1g6c1a6a1d0,,0,,
O0
16 12 g6c1c6,,,,c6c1c6c1,,,,g1c6c1,,,
I1
17 25 0,,,,,c0a1e6d0,,c0c1c6d0,,c0g6d0,,c0a1a6a1a6d0,,c0g1d0,,c0g6d0,,,,,,,,0,
O1
8 12 c1c6,,,,1,,,,6,,,
I2T
40 42 0,,,,,d0a1c6a1o6a1c6a1b0,,d0e1q6e1a6b0,,d0a6c1s6c1a6b0,,d0e6a1u6a1b0,,d0a1c6c1c6c1c6a1g6b0,,d0e1a6e1a6e1i6b0,,d0a6c1c6c1c6c1i6b0,,d0e6a1e6a1e6a1g6b0,,d0g6a1c6c1c6a1g6b0,,d0g6e1a6e1i6b0,,d0i6c1c6c1i6b0,,d0m6a1e6a1g6b0,,d0w6a1c6a1b0,,d0w6e1a6b0,,d0y6c1a6b0,,d0z6b6a1b0,,0,,,,
O2T
None
I3T
39 20 0,d0i6c1c6c1i6a0,,d0g6c1a6e1a6a1g6a0,,d0g6a1e6a1m6a0,,d0a6c1c6c1k6c1a6a0,,d0c1a6e1a6a1g6c1a6a1a0,,d0a1e6a1m6a1e6a0,,d0a6c1y6a0,,d0c1a6a1w6a0,,d0a1z6b6a0,,0
O3T
None | 16 12 c6g1c6,,,,g1c6c1,,,,c1k6,,, | dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=e |
Simon-Solve-Version1 'O2T' predict the image | I0
1 6 1,,,7,1,
O0
1 6 1,,,7,1,
I1
6 10 d84,,c874,3b874,83a874,a83848,a83748,b8348,b8738,8
O1
6 10 4d8,,47c8,47b83,47a838,8483a8,8473a8,843b8,837b8,8
I2T
10 1 h52
O2T
None
I3T
1 1 9
O3T
None | 10 1 2h5 | dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a |
SimonsImageErosion erosion mask CORNER4 | 15 9 0e4c1c4,a0h40b4,0i40b4,0d40826d4,0c4a8a469c4,0a4a80a46b49a4,0c40a460a4294,b40b46e49,0g40c40 | 15 9 0,a0c1f010,b0a1g010,a0a1h010,k01a0,a01k0,i01c0,a01a01h0,0 | dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=corner4 |
simonsolveversion1, 'O2T', predict the image | I0
15 6 a0i5a30,30i58a0,30i5830,a3i58a0,b0i830,3a0i8a0
O0
15 6 5,b5i6a5,,,,
I1
6 13 3d0,c030,0,c030,0d8,,c5a8,,,,,d03,a03b0
O1
6 13 5,,,,5d6,,,,,,,5,
I2T
13 15 03d0303a03,d0a30303a0,0a303c03a03,b0303d5a0,c0a3d5a0,e0d5a0,b03a8d5a0,c0f8a0,c0f8a3,b03f8a0,3b0f8a0,c0f830,b03f8a0,a0a3f8a0,0
O2T
None
I3T
15 14 a3c030b3c0,3c030a30a3b0,a03030g80,b0303g80,0a3b0g80,a03c5f80,3a0c5f80,a30c5f80,3a0c5f83,a03c5f80,b0c5f80,303c5f80,3a03b03030a303,d0a3a03d0
O3T
None | 13 15 5,,,,,,c5f6a5,,,,,,,,5 | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
SimonImageSymmetry Symmetry hstack(flipx orig) | 17 11 a1917191a9d171,17a1a9c1b97b9,a979b1a717912b1,91b9a1917a912b1,7a91719a19c1219,a1919c1b9a1319,9c1b91917b131,b1971a9a1a9b139,a1917b191a917a19,9a1917919a1917a19,919b171a917979a1 | 34 11 17d1a9191719c1917191a9d171,b97b9c1a9a17a17a1a9c1b97b9,b121971a7b197c979b1a717912b1,b121a9719a1b91a91b9a1917a912b1,912c19a19171a9a7a91719a19c1219,913a1b9c1919c1919c1b9a1319,13b17191b9c1a9c1b91917b131,93b1a9a1a9179e1971a9a1a9b139,9a171a919b1719c1917b191a917a19,9a1719a1919719a1a9a1917919a1917a19,a197971a917b191a919b171a917979a1 | dataset=symmetry group=symmetry image_width=medium image_height=medium instruction_sequence='hstack(flipx orig)' |
Simon-Solve-Version1 predict image for 'O2T' | I0
4 8 5a15,6a56,,1a81,8151,5a65,,1518
O0
2 4 81,56,,15
I1
6 4 8,a9a6a9,6a9b8,b8a96
O1
3 2 6a9,8
I2T
4 6 7a67,6a76,6a86,8676,7a67,6768
O2T
None | 2 3 86,76,67 | dataset=solve_symmetry group='extract_rect_tile rect 2x2(orig 180 180 flipx)' predict=image image_width=small image_height=small task_pixels=a |
simonsolvev1, O5T, predict image | I0
7 5 c09a4,a4a9b4,49d4,4,
O0
7 5 1,,d151,b1b51,1
I1
5 10 a35a3,a3523,68523,0b32,,0c3,39b3,,,3
O1
5 10 1,,,,a15a1,1,b151,,,1
I2
5 10 75b3,75b7,65b7,75b7,35b7,03a76,07367,,07636,b7a9
O2
5 10 1,,b151,,1,,,,,
I3
9 7 a47b87a8,8d4b8,a9e58,a8a9d8,b84a9b8,b84d8,7b8487a8
O3
9 7 1,,,,f151,1,
I4
6 8 8,85c8,,,a85b8,,,
O4
6 8 1,b1a51,,c151,,,,1
I5T
5 10 a93a9,b939,,c93,,9,,,,
O5T
None
I6T
10 9 d37c3,d372b3,c39a32a3,b39b32a3,a39d323,39g3,9h3,3,
O6T
None | 5 10 1,,15b1,,1a5a1,,1b51,,,1 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
Simon-Solve-Version1 'O3T' predict the image | I0
10 3 a9a2494a92,412a6d7,d78a212
O0
3 10 272,179,279,274,879,764,762,7a2,719,749
I1
3 9 8,0a8,,,908,108,808,a89,1a8
O1
9 3 89f8,a8b0c8,1a819b08
I2
9 6 3,,,b3a2c3,3a2e3,3
O2
6 9 3,,,,a32b3,,32c3,,3
I3T
6 6 0,,,d04,c048,c040
O3T
None | 6 6 084b0,a4c0,0,,, | dataset=solve_rotate group=flipb predict=image image_width=small image_height=small task_pixels=a |
SIMONIMAGEMASS identify places where max mass is 7, connectivity leftright2 | 11 15 7a525a714a5,5a757675471,52b5652475,7b57672415,b572672452,17526572457,a5756572452,21a56527545,21576217545,2a956257547,5259651a745,52765a92742,57265259742,5a26c5795,752d57a5 | 11 15 1,,,,,,,,,,,,,, | dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.LR2 max_mass=7 |
simonsolvev1 predict image for O3T | I0
8 7 b32c3,a43231a3,23b4178,2a3c78,3a1238a3,8a31a3a8,c37b3
O0
8 7 b37c3,a32d3,43231a34,3b41782,a3c782,a1238b3,a31a3b8
I1
7 7 1a9a141,c1a41,a1a49a1,a494a12,234c1,13b121,291a212
O1
7 7 91a21a2,a9a14a1,b1a4a1,1a49b1,494a124,34c12,3b12a1
I2
7 6 b19149,9a19472,a1617a1,46a2b9,904a219,90b919
O2
7 6 0b91a9,a191491,a194729,1617b1,6a2b94,04a21a9
I3T
6 6 a1a513,1512a3,a1a315,a35315,1632a1,165b1
O3T
None | 6 6 65c1,1a5131,512a31,1a3151,353153,632b1 | dataset=solve_translate group=translate_xminus1yplus1 predict=image image_width=small image_height=small task_pixels=a |
simon-solve-version1 predict image for 'O4T' | I0
3 3 405,959,513
O0
3 12 594,150,395,,150,594,315,959,504,395,150,594
I1
4 4 2626,a9a1,2126,6206
O1
4 16 6292,2196,0212,a616,,0212,2196,6292,6026,6212,a1a9,6262,a616,0212,2196,6292
I2
3 3 039,286,348
O2
3 12 320,483,869,,483,320,843,682,930,869,483,320
I3T
2 2 54,45
O3T
None
I4T
3 3 634,286,398
O4T
None | 3 12 326,983,864,,983,326,893,682,436,864,983,326 | dataset=solve_symmetry group='create_square_symmetry square vstack(cw flipb 180 flipb)' predict=image image_width=small image_height=medium task_pixels=a |
SIMON-SOLVE-VERSION1, O5T, predict image | I0
7 8 1,d191,c12a1,c1291,1a629a1,179c1,17d1,1
O0
7 8 2,2b7b2,2a7c2,2,,d272,b2b72,2
I1
7 8 1,,a18c1,158c1,,15d1,,1
O1
7 8 2,272b72,c2a72,,,b2b72,,2
I2
7 8 4,b49b4,49a49a4,4,4849b4,4948b4,8e4,b48b4
O2
7 8 2,d272,2,a27a272,d272,,a272a72,2
I3
5 8 46b4,6a464,4,40a46,640a4,,46a26,42a46
O3
5 8 2,,a27a2,2,,,,
I4T
8 5 b1a7b1,b13a4a1,a1a40b1,1,
O4T
None
I5T
3 7 0,030,8a0,,0,8a0,838
O5T
None | 3 7 2,,,,272,2, | dataset=solve_erosion group=apply_erosion_nearest4 predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-V1, O4T, predict image | I0
12 4 1,,,
O0
6 1 1
I1
2 16 7,,,,,,,,,,,,,,,
O1
1 4 7,,,
I2
14 4 3,,,
O2
7 1 3
I3
4 12 8,,,,,,,,,,,
O3
2 3 8,,
I4T
12 16 a2c3c7a2,,,,a4a2c7c2,,,,a4a6g2,,,,g2a6a2,,,
O4T
None
I5T
14 20 a1k5,,,,a3a1i5,,,,a3a5a1g5,,,,5,,,,,,,
O5T
None | 6 4 2a3a72,42a7a2,46c2,c262 | dataset=solve_scale group=x2down_y4down predict=image image_width=medium image_height=medium task_pixels=b |
Process SIMONARCRLEIMAGEPAIR and return the number of colors in common | 20 1 3j0c3a623
2 5 21,,,2,92 | 1 | dataset=image_pair group=number_of_intersection_colors image_width=medium image_height=small |
SIMONSOLVEV1 predict image for O3T | I0
1 8 7,,9,,,,8,2
O0
1 8 7,9,,,,8,2,7
I1
8 6 6b94b6,6a246242,a62c62,26246b2,202c56,a6264626
O1
8 6 24624262,2c62a6,246c26,2c5620,26462b6,a94c69
I2
6 6 090a39,2a3090,2b090,a03090,c290,c090
O2
6 6 309023,a09020,309b0,a290a2,a09b0,0a3909
I3T
6 6 397b3,793939,3739a3,b3b7,a39737,3a9739
O3T
None | 6 6 393979,39b37,3b7a3,9737a3,973939,7c39 | dataset=solve_translate group=translate_xminus2yminus1 predict=image image_width=small image_height=small task_pixels=a |
SIMONSARCIMAGEEROSION erosion mask NEAREST4 | 16 13 25656a5b626a2a6,2752a62a6262a656,26252562a6a2c6,d62d6265a6,6a26567a5c62a5,a6b2657675a62a5,d675652727b6,a6562c6526a262,c6752527a62656,a6727675a2b6527,a62c65a6765b6,6765726526262b6,6a2b65c6a2a62 | 16 13 0,,,h01e0,0,,01m0,0,01m0,j01c0,0,m010,0 | dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=nearest4 |
simon-arc-image-erosion erosion mask corner4 | 3 16 7,,,a72,727,a76,2a7,726,a76,7,767,a76,762,7,, | 3 16 0,010,0,010,0,,,,,,,,,,010,0 | dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=corner4 |
SIMONSCELLULARAUTOMATA, Maze with nowrap. steps=1. 0 is dead. 5 is alive. | 26 6 m05j0,a0a5e0a505h05a0,05g05k0a50,05d0a5h05f0,c05b05g05g0,d05q0a5 | 26 6 m05j0,a0a5e0a505h0a50,05f0b5j0a50,05d0b5g05f0,c05a0a5g05g0,d05q0a5 | dataset=cellular_automaton group=maze_nowrap ca_step=1 image_width=large image_height=small |
SIMON-ARC-HISTOGRAM, histogram-b without colors of histogram-a | 4:798,2:467
2:1591,7:970,3:826,0:689 | 7:970,3:826,0:689 | dataset=histogram_two group=b_remove_a_colors histogram_size=d |
simon-solve-v1 predict image for 'O5T' | I0
4 5 6,4,,,
O0
1 20 6,,,,4,,,,,,,,,,,,,,,
I1
20 1 k6g0
O1
5 4 b6a0,,,
I2
4 2 1,5
O2
1 8 1,,,,5,,,
I3
8 2 7,
O3
2 8 7,,,,,,,
I4T
8 2 9,c6c0
O4T
None
I5T
8 2 1,c5c9
O5T
None | 2 8 1,,,,59,,, | dataset=solve_scale group=x4down_y4up predict=image image_width=medium image_height=medium task_pixels=a |
Simon-Solve-V1, O2T, predict image | I0
6 3 b84a8,a84848,848b4
O0
6 3 b48a4,a48484,484b8
I1
1 9 3,,,,,,1,3,
O1
1 9 1,,,,,,3,1,
I2T
4 6 9,a949,a9a4,49a4,a4a9,4
O2T
None | 4 6 4,a494,a4a9,94a9,a9a4,9 | dataset=solve_color group=swap_colors predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEVERSION1, 'O4T', predict the image | I0
5 6 c68,a6985,a6865,64056,41056,40a16
O0
1 1 9
I1
6 8 2020a2,b0205,c065,b0252,06a052,a0a6a0,206b2,268202
O1
1 1 8
I2
6 11 6,d64,c684,d64,60a646,680646,b8640,606048,2604a6,0a24a6,b62a6
O2
1 1 2
I3
11 9 i75,g7357,h737,f7a347,e737374,c717a3724,d71232a7,a76a273c7,7a2b73c7
O3
1 1 6
I4T
9 7 8383a8a37,8a38a3a97,b3839873,a38b3878,8a3a8a7a8,b8a73b0,a3c03a8
O4T
None
I5T
8 6 8307b83,38307b3,a8380938,c30738,a3a68078,e808
O5T
None | 1 1 9 | dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=a |
Half rotate simons-arc-image | 14 13 6464b64e6,6a4h6a4,646a4a6464c6,a4b64b646464,46b46b4a6a46,b6b46a4d6,4b6464a646464,46a464646b4a6,c6a464a64646,4a6a464c6b4,46464a64e6,b4e64c6,g64d6 | 14 13 d64g6,c64e6b4,e64a646464,b4c646a4a64,6464a646a4c6,a6b464646a464,46464a6464b64,d6a46b4b6,6a4a6b46b464,46464b64b6a4,c6464a6a4646,a4h6a46,e64b64646 | dataset=image_deserialize group=rotate_180 image_width=medium image_height=medium |
Simon-Solve-Version1 'O3T' predict the image | I0
9 4 a8a19c5,a585c15,a57959b5,9a579c5
O0
9 4 c59a1a8,5c158a5,b59597a5,c597a59
I1
4 7 8b9,6194,9193,5639,9379,a947,4949
O1
4 7 b98,4916,3919,9365,9739,74a9,9494
I2
7 4 b7a048,a45b78,48048a4,b40404
O2
7 4 84a0b7,8b75a4,a484084,4040b4
I3T
4 4 9373,7593,6295,69a0
O3T
None
I4T
4 6 5929,2029,9057,4a89,2659,29a2
O4T
None | 4 4 3739,3957,5926,a096 | dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a |
SIMON-SOLVE-VERSION1 predict image for O4T | I0
6 6 3,,,,,
O0
1 18 3,,,,,,,,,,,,,,,,,
I1
18 1 e9k0
O1
3 3 9a0,,
I2
6 6 7,,0,,1,
O2
1 18 7,,,,,,0,,,,,,1,,,,,
I3
18 1 e9e0e2
O3
3 3 902,,
I4T
6 1 8
O4T
None | 1 3 8,, | dataset=solve_scale group=x6down_y3up predict=image image_width=medium image_height=medium task_pixels=a |
Simons-ARC-Image-Scale scale-x up by 3, scale-y up by 2 | 3 6 a82,686,087,068,087,868 | 9 12 e8b2,,b6b8b6,,b0b8b7,,b0b6b8,,b0b8b7,,b8b6b8, | dataset=scale group=scale_input image_width=small image_height=small scalex=up3 scaley=up2 |
SimonsImageSymmetry Symmetry hstack(flipy 180) | 13 9 1a37b32789a3,3a5a373a839a3,3a83b82a39a3,03c8b329a3,0b3c789a23,2d37379732,a3273d6a23,d6b3a2353,2b323a57b32 | 26 9 2b323a57b3a2b37a532b32,d6b3a235a353a2b3d6,a3273d6a2a3a2d6372a3,2d3737973a2379737d32,0b3c789a2a3a298c7b30,03c8b329c392b3c830,3a83b82a39c39a32b83a83,3a5a373a839c393a837a3a53,1a37b32789c39872b37a31 | dataset=symmetry group=symmetry image_width=medium image_height=small instruction_sequence='hstack(flipy 180)' |
Simon-Solve-V1 predict image for O4T | I0
10 7 a71b0c7,a767a4a057,b76a9a5a7,b79657a47,b716c74,a7a516c7,c7576b7
O0
10 7 6,,,68g6,6,,
I1
10 8 c4a6c4,d43c4,e43b4,f43a4,g434,h43,4,
O1
10 8 6,6a8d686,6b8e6,6c8d6,6d8c6,6e8b6,6f8a6,6
I2
8 8 c379a3,a3a17b3,a197c3,0937c3,0a37c3,d43a7,3a7d3,a37d3
O2
8 8 6,,e686,d6a86,6,,,
I3
10 6 9b4a3b49,b343a4b3,a3434d3,3c4c34,9a3b4c3,4a3a434b3
O3
10 6 6,,,f68a6,6,
I4T
6 9 6,,,,,,,,
O4T
None
I5T
9 7 g86,d84836,c84a830,b84a8a08,a854a03a8,a84053b8,84f8
O5T
None | 6 9 6,6c86,,,,,,,6 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
SimonArcImageMass identify places where max mass is 3, connectivity toprightbottomleft2 | 20 17 82e81018a2080828,281a0820820c80a801,080820812a820a821208,a02c80b80820a8b0,a80b8a2801a8082b80,81a08a08c082180808,1a0280828182a0828080,2a8182a0802801820180,a020a810c80828a020,0a8a18b208a02a82028,0a82801a8a0a808b280,08b08b0a208a2a0208,180a208b2a12a818208,21a0101a821a2a808028,81a2b802080a28a08a0,828a2b021802e81,a108208a028a1e81 | 20 17 n10c1,j10a10d1,i10a10e1,h10a10f1,g10a10f10,f10i101,e10i10a1,o10b1,1,,,,,,,, | dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.TRBL2 max_mass=3 |
Simon-Solve-Version1 predict image for 'O2T' | I0
13 9 a01a07c0b1,7a08107e0,a08h07,0807a0a1a0101,08c1d010,81a0a1e01,c07c01a07,h07a01,0707d07b0
O0
1 1 8
I1
12 8 a01a07e0,1a08b01c0,a08h0,087b0a10170,08c1c070,81i0,0701a01d0,71c0a1c0
O1
1 1 8
I2T
7 7 29a2a92,c2929,2b9b2,b2b92,a9a2929,d2a9,9b29a2
O2T
None | 1 1 9 | dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=small task_pixels=a |
SIMONSCELLULARAUTOMATON, What transformation happens. maze_nowrap,maze_wrap | 15 15 1,18l1,1,,,,d1b8f1,e1b8e1,f18f1,1,,,,,
15 15 1,,,,,e18g1,d1c8e1,,e1b8e1,1,,,,, | maze_nowrap=1,maze_wrap=1 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
simon-solve-version1 predict image for O5T | I0
7 14 2c7a4,4c7a4,4c742,2c7a4,3c7a3,,,,,,,4c742,4c7a4,
O0
7 14 1,,,,0,,,,,,,1,,
I1
9 7 c32c4,g74,,g72,g74,,c3d4
O1
9 7 c0d1,,,,,,
I2
15 9 42f42a4a24,m42,42a4a2d42b4,a42d42d42,d3b7e34,d3b7e32,d3b7e34,d4b74242b4,f42d424
O2
15 9 1,,,,m01,,,1,
I3
8 14 a424b34,c4b32,a424b32,4b2b34,2b4b32,4a2a7a32,424a7a32,a42a7a34,a42a7a32,a424b34,c4b34,24a2b32,c4b34,4a24b32
O3
8 14 c1b01,,,,,,,,,,,,,
I4T
9 10 g34,,g32,g34,d7b34,d7b32,,,d7c4,4
O4T
None
I5T
10 6 c4c2a4,g324,g3a4,g324,g3a4,c3d74
O5T
None | 10 6 1,g0a1,,,, | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
simonsolveversion1 predict image for O2T | I0
8 14 f08,,f03,,,,,,3,,,,,4a84c8
O0
8 14 3,,0,,,,,,,,,,,3
I1
14 9 84a8a4c8a4a8,a4j38,84j34,48j38,g0d38,a4j38,48j38,a8j38,f84e8
O1
14 9 3,a3j03,,,,,,,3
I2T
9 15 4c84848,8f38,,8b30b38,8f34,8f38,,,4f38,8f34,8f38,,4f34,8f38,e84a8
O2T
None | 9 15 3,3f03,,,,,,,,,,,,,3 | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
SimonsImageShape find shape3x3 bit 7 | 22 22 8c46746k47,4846787a48646484584646,d464a86d47587a48,468484747468a4a6547a64,c6a46b46b4a6547686,6a8646b4648a746547684,4684a64764648a4a656746,4a646a46a4c646458764,a48a487848a4a6b456764,4a6a8a6a47a4a6b456764,c4a6a4b6468b4587a8,7a4848486a8b4a6b8484,46464a6487c4a845a684,a4a64646b4b848654a84,6486d4b8786745a876,a47c4a84646846465786,a6a46a8b4647476485a48,867a87b47a48468a45476,6a8f34648a4645464,7484a6c4h36a4,646a476a47484684746b4,a46c4647a46a464a6486 | 22 22 a1d01a010101a0101a0,101g0101c01b0,a010101a010a1f010,0101b01c0101d010,a01a010101b0a1f0,a101c0c1b0a101b0,01g01a01e010,1a01d010a101f0,a01f01010a1e0,1h01b0a1e0,a101f01i0,01c0a1b0a1h0,a1c0a1d0a1f0,1010101d01h0,c0a1a01d01a0101a0,01c01l010,1e0101e01d0,1i0b1a01d0,01f01h01a0,b010b101i010,b0a10a1a0101a01e0,0 | dataset=shape group=shape3x3_center image_width=large image_height=large |
SIMONS-HISTOGRAM, perform maximum | 7:1598,5:1517,8:986,1:318
2:1411,7:962,5:810 | 7:1598,5:1517,2:1411,8:986,1:318 | dataset=histogram_two group=max histogram_size=d |
SIMON-SOLVE-VERSION1 'O2T' predict the image | I0
14 11 1d6a1c6a1,1a6a16b1b616,a15a16d1a61,a1516a1b616a1,a1516c1a61a6,615a16b161616,6151a61a6d1,165a1a6d161,16516c1a6161,1651a6a16d1,16h1616
O0
14 11 4,,a42j4,,,,,,,,4
I1
11 12 1,a16c16b1,1,i16,1,c16e1,a1g51,,,b1616c16,16h1,i16
O1
11 12 4,,,,,,a4g24,,,4,,
I2T
12 6 1616a1c616,b16a1a6a161,16b16161a61,6a16a1b5161,a1a6a1b5b6,e1b51a6
O2T
None | 12 6 4,,,e4b2b4,, | dataset=solve_zindex group=mask_of_primary_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
Simon-Cellular-Automaton, Identify the transformation. serviettes_nowrap,highlife_wrap | 14 16 c7d6b7a6,b7e6b7a6,6b7b6d767,6e76d76,6d76d7a6,e7b6d7,,d7a67a6c7,f76e7,f7b6c7,7,b76i7,7676i7,g76d7,b76c76d7,b7a6b76b767
14 16 b76d7676a7,h7676a7,7676c76a7676,76a7b6c7a67,76b76a76d7,d76b76a7a6,d76b76c7,7,d7a6a7a6b7,e76f7,f7b6c7,a7676h7,,a7b6a7676c7,a7676a7676c7,a76c7676c7 | serviettes_nowrap=1,highlife_wrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium |
SIMON-SOLVE-V1 predict image for 'O2T' | I0
6 4 3b153,c5a3,359b5,535a93
O0
6 4 7,,76c7,7
I1
4 7 1781,a185,1a51,2518,1a58,5851,3a15
O1
4 7 7,,,,,a767,7
I2T
7 7 a875a85,5858785,7a8a757,85b858,d858,5c878,7b85a8
O2T
None | 7 7 7,76d7,a76c7,a7a6b7,7676b7,7a676a7,7 | dataset=solve_erosion group=apply_erosion_tlbr2 predict=image image_width=small image_height=small task_pixels=a |
simon-solve-version1 predict image for 'O3T' | I0
11 15 d4e6,a40a4e6,b4a2e6,,,,,,,a40a2e6,,a40e2a4,404e2a4,b4e2a0,b4e2a4
O0
11 15 1,,b1e2a1,,,,,,,,,,,,
I1
11 7 4h24,4h20,0h24,4h20,h624,h6a4,h6a0
O1
11 7 1h21,,,,,1,
I2T
7 11 a4c24,,,,,,04c24,6,,a4c24,
O2T
None
I3T
11 6 4a0a40d4,g4a04,a404b0a6a4,f2a6a2,,2
O3T
None | 11 6 1,,,2,, | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
SIMONSOLVEVERSION1 predict image for 'O2T' | I0
5 7 c04,a6840,048a0,0a8a0,08b0,8c0,0
O0
5 7 2,,,,,b262,2
I1
4 7 0,,,b08,,,
O1
4 7 2,2a62,26a2,,,,2
I2T
7 8 c75a7,b705a7,b703a7,b75373,a757a37,,7b1313,7
O2T
None
I3T
3 8 0,,,189,a40,4a0,,0
O3T
None | 7 8 2,26d2,,2,,,, | dataset=solve_erosion group=apply_erosion_all8 predict=image image_width=small image_height=small task_pixels=a |
simonsolvev1 predict image for 'O4T' | I0
3 9 3,534,724,718,712,373,,383,3
O0
9 3 35b7c3,a32a1a783,3a482c3
I1
9 8 5353a53a5,575353a53,a37b35a3,a57a35353,3537c35,a537353a5,3b575a35,a5357a535
O1
8 9 a5353535,373d5,a5a7a353,c3a7a5,a5c3a7,5a353b5,3a5c35,a53535a3,5b3c5
I2
8 1 5f1
O2
1 8 5,1,,,,,,
I3T
1 4 6,9,,8
O3T
None
I4T
4 8 64a6,5a64,35a6,3a86,6348,69a6,a696,6
O4T
None | 8 4 65a3c6,465839a6,b684696,64a68b6 | dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a |
simon-image-erosion erosion mask with connectivity CORNER4 | 10 18 1,h12,f1a21,c13123a1,15a1a23b1,125234c1,a12a314b1,a131514b1,a12a1514a1,b123a14a1,b123d1,,c12d1,,1,,, | 10 18 0,0d1c0,0a101d0,01g0,0,g010,,0,,,01d01a0,01c0b10,,0a1b0b10,0a1010b10,0g10,,0 | dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=corner4 |
Simon-Solve-V1 predict image for 'O5T' | I0
9 10 a1b7c1,a717a17a1,a1c7171,1c71b7,a1a71b71,7d1b7,7e1a7,71c7171,a1e71,c17b17
O0
10 9 b171a7a17,a1f71,171b7a171,a1717a1a71,71a7b1b7,d7a1a71,71b7a1a71,1717e1,17b1b7a1
I1
10 3 b5a4d5,f54a5,e91b5
O1
3 10 5,,545,a51,a59,459,,a59,,
I2
3 10 2,,,,,,,,,
O2
10 3 2,,
I3
10 9 2373c837,42a7b34a2,d2b3a2,37b2c32,37243b230,d3a73a2,72324b303,b37237303,3a72737232
O3
9 10 7b202a32,3a2a32a03,84a32b32,8b3273a7,8b327b3,83a2a3427,37a243272,a7b2b37,3a2a73237,242b37a3
I4T
9 1 b2b5a38
O4T
None
I5T
1 9 9,,,,,,,,4
O5T
None | 9 1 g94 | dataset=solve_rotate group=rotate_ccw predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEVERSION1 'O5T' predict the image | I0
8 9 4545a7a4,a87c40,047460a4,a4760545,5475a4a0,a4a50a47,04a054a7,a4047575,4b04745
O0
1 1 4
I1
9 14 c2b7a2,e27a2,927b27a2,7d27a2,c2a7292,72729a729,1729271a2,c2a7b2,g29,79a2a1b2,a29b21a2,a727a2127,1a27d2,f212
O1
1 1 2
I2
14 11 a434a2c32a34,a72d34c34,a32b342c342,3424a34b34343,3a24a32b34b3,a324f32a3,32434a34c343,a2b3434b34a3,32c3432c34,4234d3b4a3,43424a32343432
O2
1 1 3
I3
11 8 c3a6a2b3,a96b2d3,326g3,a36g3,,36h3,,
O3
1 1 3
I4T
8 10 a8582a35,5d858,a8538b2,8b2b85,525d8,b282a83,3a83c8,a2a82858,2b83a85,a8a583a8
O4T
None
I5T
10 2 6d0c2,b5b2a595
O5T
None | 1 1 2 | dataset=solve_color group=most_popular_color_1x1 predict=image image_width=medium image_height=medium task_pixels=b |
Simon-Solve-Version1, O5T, predict image | I0
3 2 a24,a92
O0
3 2 a92,a24
I1
2 6 7,,,,,
O1
2 6 7,,,,,
I2
6 9 a8a627,84a2a7,284b2,a24a72,7284a2,282748,c247,c824,2828a2
O2
6 9 2828a2,c824,c247,282748,7284a2,a24a72,284b2,84a2a7,a8a627
I3
9 1 c1b6a4
O3
9 1 c1b6a4
I4T
1 6 0,9,,,,5
O4T
None
I5T
6 2 a0c8,b6b1
O5T
None | 6 2 b6b1,a0c8 | dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a |
simon-solve-version1 predict image for 'O4T' | I0
9 3 e8a37,a767a3b7,a763d7
O0
3 9 8a7,,8a6,873,837,,3a7,,7
I1
3 9 8a9,a39,3,a39,3a9,938,131,a93,138
O1
9 3 8c39191,9b39a393,a93a98138
I2
9 1 a6a7c46
O2
1 9 6,,7,,4,,,,6
I3
1 8 1,,,7,,,,
O3
8 1 b1d7
I4T
8 4 8c74a6,48464847,4847a687,7b484a6
O4T
None
I5T
4 1 2628
O5T
None | 4 8 8a47,7a84,7b4,7674,7468,4864,6486,6a76 | dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a |
SIMONSARCIMAGEDILATION dilation mask with connectivity NEAREST4 | 4 3 2969,4a24,a294 | 4 3 2a32,a232,a121 | dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=nearest4 |
SIMONSOLVEV1 predict image for 'O2T' | I0
3 3 2a7,a29,429
O0
6 3 924924,9a29a2,a72a72
I1
4 3 0568,b62,3
O1
8 3 3,2b62b6,86508650
I2T
2 3 9,3,63
O2T
None | 4 3 3636,3,9 | dataset=solve_symmetry group='create_rect_symmetry rect hstack(180 180)' predict=image image_width=small image_height=small task_pixels=a |
number of unique colors in SIMONS-HISTOGRAM | 4:1471,1:1434,8:1230,9:936
2:1084,0:943,4:879,9:702,5:532,8:403 | 7 | dataset=histogram_two group=number_of_unique_colors histogram_size=d |
SIMONIMAGEMASS identify places where max mass is 6, connectivity all8 | 17 11 414a64a1b41b414,a4121a6a4c14b1,412a141a6d1b4,a121a4b1a6a141a4,124c1a4b818414,42a1d8a1a584a1,1c2c1a5b18a4,c14b25b1a4841,a4a14c141a41841,1414a14a14c1481,c14c1f51 | 17 11 101a0e1d01,a1d0a1g0,1c01j0,c0a1j0,a01c0a1c01b0,1i0b1b0,h0a1b01a0,c01b01b0b101,a1a01c010a10101,0101a01a01d0a1,c01j01 | dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.ALL8 max_mass=6 |
simon-solve-version1, 'O3T', predict the image | I0
8 9 6,,,,,,,0,
O0
8 9 1,,,,,,,2,
I1
9 14 f605,f6a5,f650,f6a0,f605,f650,f6a0,,,f650,f605,f6a0,,a050a5b0
O1
9 14 f1a2,,,,,,,,,,,,,2
I2
14 13 l60,,,l65,,l60,,l65,l60,,l65,l60,l65
O2
14 13 l12,,,,,,,,,,,,
I3T
13 12 c0505b05a0,c05a0a5c0,a05c0b5050,a05a0b505b0,a0a5a0c50a5,a50a5e050,6,,,,a0a505b05b0,b0a505a05b0
O3T
None
I4T
12 13 a0a5c05b0,e0c6a0,b0a50c6a0,b05a0c6a0,c050c6a0,05c0c605,c0a5c6a0,d05c6a5,e0c6a0,5a05a0c6a0,d0b5c0,a05f050,e05d0
O4T
None | 13 12 2,,,,,,1,,,,2, | dataset=solve_zindex group=mask_of_primary_rectangle predict=image image_width=medium image_height=medium task_pixels=c |
SIMONARCIMAGESCALE scalex=up3 scaley=up5 | 8 2 e8a0,d4a70 | 24 10 q8e0,,,,,n4e7b0,,,, | dataset=scale group=scale_input image_width=small image_height=small scalex=up3 scaley=up5 |
SimonsArcImageSymmetry make symmetric hstack(flipy flipy orig flipx) | 25 15 p5a3a53535,3r53c5,b53j53b5a3b53,g53e53h5,m53d53c5,s53c5,f53p5,m53i5,j53b5353f5,n5a3c53b5,f5a3o5,k5a3a53g5,f53d53g53a5,e5353k53b5,3c53r5 | 100 15 3c53r53c53z5h5a3a5353a5353a5a3p5,e5353k53h5353k53b53r53g53r53,f53d53g53h53d53g53d53j53b5a3b5a3b5a3b53j53b5,k5a3a53s5a3a53o53e53q53e53g5,f5a3v5a3z5b53d53g53d53m5,n5a3c53q5a3c53v53g53s5,j53b5353q53b5353m53z5f53f5,m53w53w53s53m5,f53w53z553b5353m5353b53j5,s53w53r5a3c53e53c5a3n5,m53d53q53d53j5a3z5d5a3f5,g53e53p53e53t5a3a53o53a5a3k5,b53j53b5a3b53b53j53b5a3b53f53d53g53c53g53d53f5,3r53c53r53i5353k53e53k5353e5,p5a3a5353q5a3a535353c53z5j53c53 | dataset=symmetry group=symmetry image_width=large image_height=medium instruction_sequence='hstack(flipy flipy orig flipx)' |
SIMONIMAGESYMMETRY apply symmetry vstack(flipy flipy 180 180 180) | 30 28 3a93097a3a9b7973c7a30707070,g7a90b793073b73b79097,793b0a7370d7930b70a7970a7,97a390b707379c7930a73793a79,03a73a797j279793a70a7,93b793909d3a7070h26,73939039709a79d30e79760,39037390a7979797c39e76a3,a3073a7373973a909737c3736b7,d37037b393737f3a69730,79a7b97b09b7a07593076a93090,373930979793a70709537963793a79,3970a7a0a37973790757069790a790,30a3b83a079b70753767a9730393,a0707a3d83a0a357673707a3b7,79a090709739c89567a907a93797,70a302a9e790b697a9a07a393,090372a309370a7a65d79707073,073a9290a737056a757b093a097a9,79070273a790767375a307970a73a7,3907020c736350959097b073079,a707327a3a7607505b790b790a70,9790270703603a7a50c7a30a7909,a3a72030a6a90a9a50397d909a3,a3a7237603a703705a7a037a9a7909,9b720670b9030b970937a973a07,7a03263909703a90709b707090397,93072739c73a797079070b73790 | 30 140 93072739c73a797079070b73790,7a03263909703a90709b707090397,9b720670b9030b970937a973a07,a3a7237603a703705a7a037a9a7909,a3a72030a6a90a9a50397d909a3,9790270703603a7a50c7a30a7909,a707327a3a7607505b790b790a70,3907020c736350959097b073079,79070273a790767375a307970a73a7,073a9290a737056a757b093a097a9,090372a309370a7a65d79707073,70a302a9e790b697a9a07a393,79a090709739c89567a907a93797,a0707a3d83a0a357673707a3b7,30a3b83a079b70753767a9730393,3970a7a0a37973790757069790a790,373930979793a70709537963793a79,79a7b97b09b7a07593076a93090,d37037b393737f3a69730,a3073a7373973a909737c3736b7,39037390a7979797c39e76a3,73939039709a79d30e79760,93b793909d3a7070h26,03a73a797j279793a70a7,97a390b707379c7930a73793a79,793b0a7370d7930b70a7970a7,g7a90b793073b73b79097,3a93097a3a9b7973c7a30707070,93072739c73a797079070b73790,7a03263909703a90709b707090397,9b720670b9030b970937a973a07,a3a7237603a703705a7a037a9a7909,a3a72030a6a90a9a50397d909a3,9790270703603a7a50c7a30a7909,a707327a3a7607505b790b790a70,3907020c736350959097b073079,79070273a790767375a307970a73a7,073a9290a737056a757b093a097a9,090372a309370a7a65d79707073,70a302a9e790b697a9a07a393,79a090709739c89567a907a93797,a0707a3d83a0a357673707a3b7,30a3b83a079b70753767a9730393,3970a7a0a37973790757069790a790,373930979793a70709537963793a79,79a7b97b09b7a07593076a93090,d37037b393737f3a69730,a3073a7373973a909737c3736b7,39037390a7979797c39e76a3,73939039709a79d30e79760,93b793909d3a7070h26,03a73a797j279793a70a7,97a390b707379c7930a73793a79,793b0a7370d7930b70a7970a7,g7a90b793073b73b79097,3a93097a3a9b7973c7a30707070,0973b707097079a73c793727039,79309070b79070a93079093623a07,7a037a973907b9030b907602b79,909a7a973a0a750730a7306732a7a3,a390d97930a5a90a9a60302a7a3,909a70a3c70a5a73063070720979,0a709b709b7505706a7a372370a7,97037b079095905363c70207093,a73a707970a357376709a737207097,a979a039b075a765073a7092a9370,3707079d75a6a707390a3273090,39a37a0a979b609e7a920a307,7973a970a97659c893790709a097,b7a370737675a3a03d8a3707a0,393037a97673570b797a03b8a303,09a70979607570973797a3a0a70793,9a73973697359070a7397979039373,0903a96703957a0b79b07b9a797,0379a6f373739b37307d3,b7637c373790a9379373a7370a3,a36e79c3797979a709373093,0679e70d39a790793093937,6h2070a7d390939b739,a70a739797j279a73a730,9a73973a7039c797370b709a379,a7079a70b7039d7073a7b0397,7909b73b737039b70a9g7,0707070a3c7379b7a9a37903a93,0973b707097079a73c793727039,79309070b79070a93079093623a07,7a037a973907b9030b907602b79,909a7a973a0a750730a7306732a7a3,a390d97930a5a90a9a60302a7a3,909a70a3c70a5a73063070720979,0a709b709b7505706a7a372370a7,97037b079095905363c70207093,a73a707970a357376709a737207097,a979a039b075a765073a7092a9370,3707079d75a6a707390a3273090,39a37a0a979b609e7a920a307,7973a970a97659c893790709a097,b7a370737675a3a03d8a3707a0,393037a97673570b797a03b8a303,09a70979607570973797a3a0a70793,9a73973697359070a7397979039373,0903a96703957a0b79b07b9a797,0379a6f373739b37307d3,b7637c373790a9379373a7370a3,a36e79c3797979a709373093,0679e70d39a790793093937,6h2070a7d390939b739,a70a739797j279a73a730,9a73973a7039c797370b709a379,a7079a70b7039d7073a7b0397,7909b73b737039b70a9g7,0707070a3c7379b7a9a37903a93,0973b707097079a73c793727039,79309070b79070a93079093623a07,7a037a973907b9030b907602b79,909a7a973a0a750730a7306732a7a3,a390d97930a5a90a9a60302a7a3,909a70a3c70a5a73063070720979,0a709b709b7505706a7a372370a7,97037b079095905363c70207093,a73a707970a357376709a737207097,a979a039b075a765073a7092a9370,3707079d75a6a707390a3273090,39a37a0a979b609e7a920a307,7973a970a97659c893790709a097,b7a370737675a3a03d8a3707a0,393037a97673570b797a03b8a303,09a70979607570973797a3a0a70793,9a73973697359070a7397979039373,0903a96703957a0b79b07b9a797,0379a6f373739b37307d3,b7637c373790a9379373a7370a3,a36e79c3797979a709373093,0679e70d39a790793093937,6h2070a7d390939b739,a70a739797j279a73a730,9a73973a7039c797370b709a379,a7079a70b7039d7073a7b0397,7909b73b737039b70a9g7,0707070a3c7379b7a9a37903a93 | dataset=symmetry group=symmetry image_width=large image_height=large instruction_sequence='vstack(flipy flipy 180 180 180)' |
simon-image-dilation dilation mask TB2 | 12 15 9,,,,,h94a9,g94b9,,f94c9,e94d9,d94e9,,c94f9,9, | 12 15 0,,,,h01a0,g012a0,g0a1a0,f0a1b0,e0121b0,d0121c0,d0a1d0,c0a1e0,c021e0,c01f0,0 | dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=tb2 |
SIMONS-HISTOGRAM minimum | 6:167
0:1449 | empty | dataset=histogram_two group=min histogram_size=d |
simon-solve-version1 'O3T' predict the image | I0
2 1 74
O0
2 1 47
I1
1 4 9,,,7
O1
1 4 7,9,,
I2
4 5 4341,43a4,3b4,,6b4
O2
4 5 b46,b43,,a434,1434
I3T
5 2 7a679,b276
O3T
None | 5 2 67b2,97a67 | dataset=solve_rotate group=rotate_180 predict=image image_width=small image_height=small task_pixels=a |
simonsolveversion1 predict image for 'O2T' | I0
11 9 a7a21a21212,a7a121b212,a71g2,7h32,,,2h32,2a1d21a2,c21b21a2
O0
11 9 a1h6,,,,,,6,,
I1
12 6 g2a121,21i2,h7a32,,,j72
O1
12 6 6,,j16,,,
I2T
11 13 d2b12a7,d2d37,,,1b21d37,d2d37,21b2d37,1b21d37,a1a21d37,,e2a12a7,12b1c2a7,a2d1a212
O2T
None | 11 13 h6a1,,,,,,,,,,,,6 | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=a |
simons-image-mass max mass 8, connectivity 4 | 19 14 a0404304a03b434040,0a4a034a0a43b04a04,b04b03c093040a4,3a0a47b0a4e040,043407c0a40340a40,040a470401a40a4c0,b407d014d030,034074a0430143a0404,b3470d41a40a404,404073a4c01b4b0,40j81d0,4307c4b04a0404a0,a03a13c434a034b0,3d04a03e4a34 | 19 14 b10c1a0e10a1,b1a0a1a0b1b01a01,c1b01c0a1010a1,e1b0a1e010,e1c0a10a10a10,e1010b10a1c0,d1d0a1d010,e1a0c101c01,k1e01,l1e0,a1j01d0,c1c0b10b101a0,e1c010b1c0,e10b1e0b1 | dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.NEAREST4 max_mass=8 |
SimonArcImageSymmetry symmetry vstack(180 flipy) | 16 27 b0650a5a05a0505,5b06a0a5c0505,c06a05051a5050,50b5650d51a0,9j6a0a5,5950a560505051a0,a090a506505b0a5,05950a5650c505,0a59b016d5a0,c01a0506c050,b05b1a06d05,a505105a0565a010,a5a01b0506b050,0a501b0501605a0,a50510a5a05b0a5,0a5015i0,0b51c05a01a05,b0b15051d05,b051b0a5a015a0,a0a51505b05b05,c01d0a50a51,b051a0a5a05c0,a0a5105a70a5c0,0505b75050b505,5a0a5a01b505a01,50a5a01h0,0a5a05105a050b5 | 16 54 b505a05015a0a50,h01a0a505,1a050b51a0a5a05,50b50505b75050,c0a50a7501a5a0,c05a0a5a015b0,1a50a5d01c0,5b05b05051a5a0,a051a0a5b015b0,5d01505b1b0,5a01a05c01b50,i0510a50,a5b05a0a50150a5,a0506105b010a50,05b0605b01a0a5,01a0565a050150a5,5d06a0b15b0,05c0605a01c0,a0d561b09a50,50c5056a505950,a5b050560a509a0,a015050506a50595,a5a0j69,a01d5056b505,050a51505a06c0,505c0a5a06b05,505a05a0a5056b0,0a5a05105a050b5,50a5a01h0,5a0a5a01b505a01,0505b75050b505,a0a5105a70a5c0,b051a0a5a05c0,c01d0a50a51,a0a51505b05b05,b051b0a5a015a0,b0b15051d05,0b51c05a01a05,0a5015i0,a50510a5a05b0a5,0a501b0501605a0,a5a01b0506b050,a505105a0565a010,b05b1a06d05,c01a0506c050,0a59b016d5a0,05950a5650c505,a090a506505b0a5,5950a560505051a0,9j6a0a5,50b5650d51a0,c06a05051a5050,5b06a0a5c0505,b0650a5a05a0505 | dataset=symmetry group=symmetry image_width=medium image_height=large instruction_sequence='vstack(180 flipy)' |
simon-solve-version1 predict image for O3T | I0
10 8 4,,a40a47c4,4748045b4,a459489b4,4,,
O0
3 3 404,748,459
I1
10 4 4,d476764,d463634,4
O1
2 2 76,63
I2
13 6 4,,,c45653d4,c43868d4,4
O2
2 2 56,38
I3T
13 9 4,,,,d408a0c4,d4048d4,4,,
O3T
None
I4T
8 12 4,,,,,45857b4,47383b4,4,,,,
O4T
None | 2 2 08,04 | dataset=solve_symmetry group='extract_square_tile square vstack(orig flipb) padded' predict=image image_width=medium image_height=medium task_pixels=a |
Simon-Solve-Version1 predict image for 'O4T' | I0
4 7 1,a181,1381,a181,,b16,
O0
4 7 9,,,,97a9,,9
I1
7 4 0326b0,90b2a6,b09791,c09a0
O1
7 4 9,97d9,a97c9,9
I2
6 4 6b7a1,161731,a76371,a7a1a7
O2
6 4 9,9797a9,c979,9
I3T
4 6 5164,15a1,a152,4a16,24a6,16a1
O3T
None
I4T
6 5 5d9,,95c9,159719,b7a91
O4T
None | 6 5 9,a9b79,c979,9, | dataset=solve_erosion group=apply_erosion_tlbr2 predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEVERSION1, 'O2T', predict the image | I0
6 12 2a3b1,2a31a2,2a3b1,0a3b0,,,,,0,a1a212,21a2a1,2d1
O0
6 12 8,,,0,,,,,,8,,
I1
12 12 a1a2g1,2b12f1,121e0b1,g30b1,g301a2,g30b1,a12h1,a12a12b1a21,1,,2a1a2f1,a1212b1a2a1
O1
12 12 8,,b8e0b8,,,,8,,,,,
I2T
7 11 1,2e1,1,c12a1,a1d0,12d0,c3b0,,b12b1,1,
O2T
None
I3T
14 11 1212f12a1,a12b12c12a1,b1g0b1,a12g0b1,121f0a3a1,1a2a12b12a3a1,a2a12b1a2a3a1,f1a21a321,2l1,c1a2e121,12a12h1
O3T
None | 7 11 8,,,,a8d0,,,,8,, | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
Simon-Image-Symmetry symmetry vstack(flipx orig 180 180 flipy) | 10 9 08f90,2a8020a202,2a82520208,a28b2b80,02a828b28,0282b0a20,a2820a2820,0a820a28a0,5082a82a02 | 10 45 0f980,20a2020a82,8020252a82,0b8b28a2,8b282a820,0a2b02820,028a2028a2,a08a202a80,2a02a82805,08f90,2a8020a202,2a82520208,a28b2b80,02a828b28,0282b0a20,a2820a2820,0a820a28a0,5082a82a02,2a02a82805,a08a202a80,028a2028a2,0a2b02820,8b282a820,0b8b28a2,8020252a82,20a2020a82,0f980,2a02a82805,a08a202a80,028a2028a2,0a2b02820,8b282a820,0b8b28a2,8020252a82,20a2020a82,0f980,5082a82a02,0a820a28a0,a2820a2820,0282b0a20,02a828b28,a28b2b80,2a82520208,2a8020a202,08f90 | dataset=symmetry group=symmetry image_width=small image_height=small instruction_sequence='vstack(flipx orig 180 180 flipy)' |
simonsolvev1, O3T, predict image | I0
7 10 6a2a626,6a26a26,a6b2a6,c6262,a26c2,6a2b62,d6a2,2b6b2,a6d2,6262626
O0
7 10 2a6a262,2a62a62,a2b6a2,c2626,a62c6,2a6b26,d2a6,6b2b6,a2d6,2626262
I1
13 13 a4b9a494b94,a4b9a4949b4,f4a94b9,a49d49a494,9c4b9a49a4,a4b9g4,4f94a9a4,f49a4a94,49f49494,a9b4a9a4a949,49a49a494a949,b49b4b9b4,a49a494d94
O1
13 13 a9b4a949b49,a9b4a9494b9,f9a49b4,a94d94a949,4c9b4a94a9,a9b4g9,9f49a4a9,f94a9a49,94f94949,a4b9a4a9a494,94a94a949a494,b94b9b4b9,a94a949d49
I2
12 10 c6a2b6a26,626262d62,6a2b62b6a2,c6a2b62a6,6a2c62a626,62a62b62b6,2a62b6b2a6,a2f6262,2g62a6,f6a2b6
O2
12 10 c2a6b2a62,262626d26,2a6b26b2a6,c2a6b26a2,2a6c26a262,26a26b26b2,6a26b2b6a2,a6f2626,6g26a2,f2a6b2
I3T
14 3 12c121a21b2,a12f1c2,1a21b21c2a1
O3T
None
I4T
3 4 656,5a6,,a65
O4T
None | 14 3 21c212a12b1,a21f2c1,2a12b12c1a2 | dataset=solve_color group=swap_colors predict=image image_width=medium image_height=medium task_pixels=b |
Simons-Cellular-Automata, Recognize the transformation between input and output. gameoflife_nowrap,cave_wrap,serviettes_nowrap,gameoflife_wrap | 27 25 2a5l25i2,2b5v2,b25v2,e2a5r2,a5d25r2,2a5a2a5s2,e25s2,2,l2a5k2,a5j2a5k2,2a5w2,2,i25o2,b25d25p2,a2b5g25l2,l25l2,2,v25b2,e2a5m2a5b2,d2525o25a2,e25p2a52,n25j2,2a5j25k2,a2a5h2a5k2,2b5j25j2
27 25 5b25i25j2,5b25u2,2a5252a5r2,b5d25q2,a25a25a25q2,5e25r2,2a5a2525r2,l2a5k2,a5i25a25j2,a25h25a25j2,5k2a5k2,2a5w2,h25p2,a2525d25o2,k2525k2,a2b5f2525k2,2,e2a5m2525a2,d25a25n25a2,g25l2a5252,d2525n25b2,2a5j25h2a52,b25h2525j2,5b25i25j2,5b25g2a525i2 | gameoflife_nowrap=0,cave_wrap=0,serviettes_nowrap=0,gameoflife_wrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large |
simon-arc-image-dilation mask when doing dilation tlbr2 | 14 7 6a26b2a6b3a2,a263a6c23263,a2b3a6a232623,6323b2a632323,b26a26a263b2,62363c2a6262,62626a26362632 | 14 7 b101a0a10b10,0a2101a02b121,1012a10a1212a1,12b12d12a1,0b2102020b10,a1212012120a20,0b1010c10a1 | dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=tlbr2 |
simon-solve-v1 'O5T' predict the image | I0
6 8 4a3b9,45c9,4a96a9,4d9,,4b9a1,49a1a9,a1c9
O0
6 8 0,,,,a08b0,0,,
I1
8 6 a8c282,f28,8e25,a2821a82,7b28a12,c2a851
O1
8 6 0,b0a8b0,0,,,
I2
7 9 b10101,0b1a01,a10c1,10b101,1,10d1,1,a1010a1,d101
O2
7 9 0,,,,b08b0,b0b80,0,,
I3
9 7 70c78a7,870a768a7,a76067878,7a8078b7,c708b7,b7870b7,g78
O3
9 7 0,,,,f080,08f0,0
I4
7 5 b74b7,a794b7,a7a4b7,c7b4,7
O4
7 5 0,d080,0,,
I5T
9 9 e0207,,d02070,,5a3a02750,0503a7b0,a0a520570,c052b0,d02b0
O5T
None | 9 9 0,0b8d0,,0,,,,, | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
Here are 2 images of type SIMONARCRLEIMAGEPAIR, add histograms | 1 9 5,,,0,,,8,,9
17 4 4a94a9b8a61939a3,3d8368949a1493,b9b3248f39,94939b383b934a9 | 3:22,9:22,8:13,4:7,0:3,1:3,5:3,6:3,2:1 | dataset=image_pair group=add_histograms image_width=medium image_height=small |
Simons-ARC-Image-Erosion mask when doing erosion TRBL2 | 14 5 323c43263623,c3926d4a3,b392c62a326,369a6e3626,e3a2a63a63 | 14 5 0,01i010,010101d01a0,0, | dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=trbl2 |
simon-histogram, Remove Histogram-A colors from Histogram-B | 8:1581,2:539
2:1015 | empty | dataset=histogram_two group=b_remove_a_colors histogram_size=d |
simon-image-mass max mass 1, connectivity topbottom2 | 7 18 0,,,,,,,,a014090,a071090,a071390,c0190,d090,0,,,, | 7 18 0,,,,,,,,a0a1b0,0,c01a0,,0,,,,, | dataset=mass group=max_mass image_width=small image_height=medium connectivity=PixelConnectivity.TB2 max_mass=1 |
SimonArcImageShape find shape2x2 bit 0 | 24 2 b0s60,0 | 25 3 1,0a10r1a0,0v10 | dataset=shape group=shape2x2 image_width=large image_height=small |
Simons-ARC-Image-Dilation dilation mask NEAREST4 | 4 11 8,b87,,,a817,2817,8217,a867,b87,, | 4 11 b01,a0a1,,a021,a121,2321,2a31,0231,a021,a0a1, | dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=nearest4 |
Half rotate SIMONARCRLEIMAGE | 22 10 b5a8a585c8a5858c0,5b0515g8b08a58,a508b0b1c5b858585,a8508c58a1b85a8a585,b80a85b8a5a8d5a85,58580a85f8a585a85,a58d45a8a585a85b85,a85c85c4858c5b8,858d5e85c8a58,a5a85858a5d8585c8 | 22 10 c8585d8a58585a8a5,8a5c85e8d5858,b8c5858c45c85a8,5b85a858a5a85d48a5,5a858a5f85a808585,5a8d5a8a5b85a80b8,58a5a85b8a18c5805a8,58585b8c5b1b080a5,8a58b0g8515b05,c0858a5c858a5a8b5 | dataset=image_deserialize group=rotate_180 image_width=large image_height=small |
simon-solve-v1 'O2T' predict the image | I0
6 1 8
O0
2 7 8,,,,,,
I1
6 2 b4b7,b4b2
O1
2 14 47,,,,,,,42,,,,,,
I2T
12 1 h5b8
O2T
None
I3T
15 1 h5e4
O3T
None | 4 7 b58,,,,,, | dataset=solve_scale group=x3down_y7up predict=image image_width=medium image_height=medium task_pixels=a |
simonsolvev1 'O3T' predict the image | I0
10 20 2,,,,2a5a6d2,2c6d2,2a856d2,26485d2,25846d2,265a8d2,2c6d2,2a6a5d2,,2c6d2,265a8d2,25846d2,2,,,
O0
4 4 a6a5,6,65a8,5846
I1
10 13 2,,,,,2b3e2,2323e2,a2323d2,a2b3d2,,a2323d2,2,
O1
4 2 2b3,2323
I2T
5 18 2,,,,,2a0a2,,208a2,280a2,2a0a2,,,,280a2,2,,,
O2T
None
I3T
10 12 2,,d216b2,,d25c2,e25b2,d261b2,,,,e25b2,2
O3T
None | 2 3 61,,25 | dataset=solve_symmetry group='extract_rect_tile rect vstack(orig flipy flipx) padded' predict=image image_width=small image_height=medium task_pixels=b |
simonsolveversion1 'O5T' predict the image | I0
8 9 a62b6a9,e686,628d6,d69a6,e686,9c6869,698b686,a69a6989,b62a628
O0
8 9 2,c20b2,2,,a2a0c2,2,,,
I1
5 10 4,c45,,,47a45,c45,b458,7a458,c08,a4a58
O1
5 10 2,2a0a2,,2,,,,,,
I2
10 9 g515,b53b5165,b538a5165,c5384565,c535a865,d53a585,d53a568,c5b3a58,5g18
O2
10 9 2,20g2,,,2a0f2,,,2,
I3
8 9 2,,,,,26e2,,b9d2,b2b9a2
O3
8 9 2,2e02,,,b2c02,,c2b02,2,
I4
5 8 7,,,,b717,,b710,b717
O4
5 8 2,2b02,,20b2,,,,2
I5T
3 10 a87,a80,780,858,7a8,8,,,a87,8
O5T
None | 3 10 2,,,,,,202,2,, | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
SIMONCELLULARAUTOMATA, What transformation happens. gameoflife_nowrap,serviettes_nowrap | 12 27 b12a1212121,a2a1a2121a21,21b21b2121,212b1212b1,21b2b1b21,b2c121212,2a1a2d121,12e121a2,g1b21,2h1a2,e1b2121,g1b21,e1b2b1,b1a2c1a21,f12a121,2121a21a2b1,a12a12d12,b2c121212,a1212d1a2,b2d1b21,c12d121,b212f1,g1a2a1,b121b2c1,d12b12a1,e1a2c1,2b1b212b1
12 27 c1d2121,a2g1a2,b212d121,a2c1a21a21,2h121,2a12f12,2a12c12b1,g1a212,g12b1,h1212,f1b2a1,i121,f1212a1,e12a1a21,d1b2a121,121b21a2b1,b21a212a121,a12g12,j12,1a2h1,12g121,1212d12a1,1g2b1,c1c212a1,c1b212b1,c12a1a2b1,d1a2d1 | gameoflife_nowrap=0,serviettes_nowrap=0 | dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large |
simons-image-mass max mass 3, connectivity topbottom2 | 16 10 1a40f17c1,161a4c1a7d1,a16a1a4a7f1,a1610g10a1,1016j10,b16h10a1,b16b1010b10a1,c16j1,c160i1,1 | 16 10 0j101a0,0i1a01a0,0g1c01a0,0c1a01d01a0,010a1a01d0101,b0a1a01d01a0,b0a1a0101b01a0,,b0b10101b01a0, | dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.TB2 max_mass=3 |
simon-solve-v1, 'O3T', predict the image | I0
6 2 686868,969696
O0
2 2 68,96
I1
9 2 641641641,846846846
O1
3 2 641,846
I2
9 3 a53a53a53,a35a35a35,53a53a535
O2
3 3 a53,a35,535
I3T
12 3 a572a572a572,5a245a245a24,527a527a5275
O3T
None | 4 3 a572,5a24,5275 | dataset=solve_symmetry group='extract_rect_tile rect vstack(orig orig orig)' predict=image image_width=medium image_height=small task_pixels=a |
simonsolveversion1, O5T, predict image | I0
1 10 9,0,,,9,0,,,9,0
O0
1 10 0,9,,,0,9,,,0,9
I1
4 6 0,a080,0,b08,,a080
O1
4 6 8,a808,8,b80,,a808
I2
3 3 535,a53,3a5
O2
3 3 353,a35,5a3
I3
3 6 a53,353,5a3,3,5a3,3a5
O3
3 6 a35,535,3a5,5,3a5,5a3
I4T
11 10 3a73a7a37a3,a37a37c37,7d373b7,737c37a37,a73b73c7,373737a3b7,a7a3a7a37a3,b7a3c737,a737e37,a7c3b737
O4T
None
I5T
14 8 a494949494a949,9c4a94949a49,4e9a4a94a9,494b949a49b4,49b4a9a4c94,b4a949a4a9494,494a9b4a9a494,a4b9494c9a4
O5T
None | 14 8 a949494949a494,4c9a49494a94,9e4a9a49a4,949b494a94b9,94b9a4a9c49,b9a494a9a4949,949a4b9a4a949,a9b4949c4a9 | dataset=solve_color group=swap_colors predict=image image_width=medium image_height=small task_pixels=a |
simon-solve-v1 predict image for O3T | I0
3 6 5,,,3a5,535,
O0
3 6 4,454,4,,,
I1
6 6 5,,b53a5,5a2395,b5321,5
O1
6 6 4,45c4,4,,,
I2
8 7 7,,,,,,
O2
8 7 4,4e54,,,,,4
I3T
4 10 2632,2623,26a2,21a2,1b2,,1a23,1b2,,2
O3T
None | 4 10 4,,,,,,,,a454,4 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a |
CW rotate SIMONSARCRLEIMAGE | 12 12 2a4594a29424,4a245a4a2494,b424542a4a2,494a245492a9,92a9a4954a96,494294a25a94,a4929c4564,94a94a249264,a4a9a24926a4,929a4a9a46a4,c494b92a4,494a24249b4 | 12 12 a4949a49b42,942b4929424,a4c949a424,2a4a9a29a245,29424a942459,a49a2c45a4,2a9424295a42,4949a4254b2,a94294549429,42a625a92b4,c4a6b9292,f4692a4 | dataset=image_deserialize group=rotate_cw image_width=medium image_height=medium |
SimonsArcImageDilation dilation mask with connectivity all8 | 11 11 07a07a31808,02b3a17a08,a708107b02,a2a18a0a7a0,81b0a80207,7a07a068b0,208a78068a0,072a0802680,7070802a060,202a0202026,0708a7b020 | 11 11 24323a24321,3a6a5434a32,3a6a34a2132,3a532323242,a4b3234a31,453234c31,3543234a321,2a452c3a2,2434c24a3,3a454321b3,2c3a21232 | dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=all8 |
SIMONSOLVEVERSION1, 'O4T', predict the image | I0
9 12 151b8b1,b1b8a15,b1b8b1,b1b85a1,a51b8a15,b1b8151,b1b8a51,b1b85a1,b1b8b1,b1b8515,151b8a15,a15b8151
O0
9 12 b3b9b3,,,,,,,,,,,
I1
12 9 8,,,,,,,b1a5c15a1,c15a1515a1
O1
12 9 9,,,,,,,3,
I2
9 8 d15b1,a5e15,f8a1,f815,f8a1,c1515a1,15e15,515e1
O2
9 8 3,,f9a3,,,3,,
I3T
8 10 151c51,a5c1a5,5151a5a1,a1b8151,a1b8b1,1515c1,a1a515a1,1515c1,b5a1515,5c1b5
O3T
None
I4T
10 12 1,f15a1,5f1a5,151a8a15a1,b1a85c1,5a1a8b5a1,b1a8d1,5a1a8a15a1,b1b5c1,1a5e15,a1515d1,15g1
O4T
None | 10 12 3,,,b3a9d3,,,,,3,,, | dataset=solve_zindex group=mask_of_primary_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
Simon-Solve-V1, O2T, predict image | I0
20 9 g1k5,,,g5g1c5,,,o5c1,,
O0
5 3 a1b5,a5a15,c51
I1
12 15 c8c9c8,,,c9c8c4,,,8,,,c8c4c8,,,g8c4,,
O1
3 5 898,984,8,848,a84
I2T
20 18 o9c4,,,g9g4c1,,,c9c4c8c1c9,,,c5c8c3c1c9,,,c5c8c1g3,,,c8c9c1g9,,
O2T
None | 5 6 c94,a9a41,94819,58319,581a3,891a9 | dataset=solve_scale group=x4down_y3down predict=image image_width=medium image_height=medium task_pixels=b |
Simon-Solve-Version1 predict image for O2T | I0
4 6 a417,a127,73a9,3206,9676,97a6
O0
4 6 1271,3a97,2063,6769,7a69,4174
I1
6 5 c0a4,c4a0,404b0,4a0a40,a40a40
O1
6 5 b4a04,04b04,a0a404,40a404,b0a40
I2T
5 7 b181,a1981,,19181,a1581,b185,b281
O2T
None
I3T
7 4 5,,,
O3T
None | 5 7 198a1,,918a1,158a1,a1851,a2812,a18a1 | dataset=solve_translate group=translate_xminus1yminus1 predict=image image_width=small image_height=small task_pixels=a |
Simon-Solve-Version1 predict image for 'O3T' | I0
13 14 4j34,0,,,,,,4j31,4j34,,4j31,4j34,,1j34
O0
13 14 3j43,,,,,,,,,,,,,
I1
14 8 3e0f3,,,,,,3,
O1
14 8 4,,,,,,,
I2
8 8 3,,e0a3,,3,,,
O2
8 8 4,,,,,,,
I3T
9 13 3,,3g0,,,,3,,,,,,41b414a1
O3T
None
I4T
6 13 a14b1,1c34,,4c34,,1a0a34,4a0a34,4a01a4,1a0a41,4a0b4,1a04a1,1a4141,41c4
O4T
None | 9 13 4,,,,,,,,,,,,3 | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
SIMONIMAGEMASS identify places where max mass is 5, connectivity leftright2 | 8 4 c06060,a0703b0,b0a7b0,d07a0 | 8 4 1,,, | dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.LR2 max_mass=5 |
simons-image-erosion erosion mask with connectivity TRBL2 | 6 5 3,,d37,7c37,3 | 6 5 0,0c10,a0b10,0b1a0,0 | dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=trbl2 |
SIMON-SOLVE-V1 predict image for O5T | I0
10 7 a6060a4b6,c60a40a6,a60a6a4a60,a6b3a43a6,60b3a43a6,a6b3a43a6,06b3a43a6
O0
10 7 7,,,a7e1a7,,,
I1
6 9 060b6,b60a6,a60b6,6,6a4b6,6a4a36,0a4a36,6c36,6c30
O1
6 9 7,,,,,7c17,,,
I2
9 9 60a606060,c6b4a3,a606b4a3,c6b4a3,b60b4a3,0b60c3,06b0c3,a6060a6a0,b6b0b6
O2
9 9 7,d7c1,,,,,,7,
I3
9 13 0e360,6e360,6e3a6,6c4a3a6,0c4a3a6,6c4a360,,6c4a3a0,6c4a3a6,0c4a3a6,6c4a306,6c460a6,60f6
O3
9 13 7e1a7,,,,,,,,,,,7,
I4T
6 12 d60,3d4,,,,3,,,,,606060,a6b06
O4T
None
I5T
15 15 c60h46,d6h46,,60b6h46,d6h40,d3h43,,,,b606h46,d6h46,6a0a6h46,a6a06h46,d6h46,f60a6b0a6
O5T
None | 15 15 7,,,,,1,,,,7,,,,, | dataset=solve_zindex group=mask_of_obscured_rectangle predict=image image_width=medium image_height=medium task_pixels=b |
SIMONSARCIMAGESCALE scale-x down by 3 | 18 2 b0b3b0e2b4,b1b8b3b9b3b8 | 6 2 030a24,183938 | dataset=scale group=scale_input image_width=medium image_height=small scalex=down3 scaley=down1 |
simonsolveversion1 predict image for O4T | I0
8 9 6,,1f6,1c67a6,,1a626716,61862716,678b621,676b531
O0
8 9 6,a6d06,a6a0c6,,6,,,,
I1
7 8 b4a080,0a48b0,8a048a0,1,0,,,
O1
7 8 6,,,,,6d06,,6
I2
10 10 a64f6,a64a64a646,64f61,b61e6,c6461b6,a6a1a61b6,e61b6,64c61a61,1h6,6
O2
10 10 6,,,,g606,,6,b6a0d6,,6
I3
3 9 8,,,,,,,a85,852
O3
3 9 6,606,,,,,6,,
I4T
9 3 2,d21b7,b2b1682
O4T
None | 9 3 6,60f6,6 | dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b |
Simon-Solve-V1 predict image for 'O3T' | I0
4 7 86a8,6168,4686,64a6,6146,b16,6a18
O0
4 7 1,,,b17,,17a1,1
I1
7 8 0,e03,,c0a73,d053,b0a503,a05b03,05d0
O1
7 8 1,e71,c7a17,,b7b17,a7c17,7c171,1
I2T
8 8 f73,373a7b3,a73d7,a78d9,3d737,a3e7,b3a73a7,a7373737
O2T
None
I3T
8 7 30308083,3a8a0b8,8b30b8,8380a808,a08383a8,0b38380,a8a3c2
O3T
None | 8 7 1,e171,d1717,f17,c17b1,b17c1,1 | dataset=solve_erosion group=apply_erosion_tb2 predict=image image_width=small image_height=small task_pixels=a |
SIMONSOLVEVERSION1 predict image for O3T | I0
4 6 9,,6,,a6a9,
O0
12 27 6,,,,,,,,,9,,,6,,,b6b9b6b9,,,e9e6,,,6,,,b6b9e6,,
I1
8 6 a6e9,,e6a9,,a9a6a9a6,
O1
48 27 b6h9z6h6,,,h6b9z6h6,,,b9b6b9z6k6,,,b6h9b6h9b6h9k6,,,h6b9h6b9h6b9k6,,,b9b6b9b6b9b6b9b6b9b6b9n6,,,n6h9n6h9,,,t6b9t6b9,,,k6b9b6b9n6b9b6b9b6,,
I2T
4 8 a9a6,,9,,6,,a9a6,
O2T
None
I3T
4 8 a9a6,,,,a6a9,,a9a6,
O3T
None | 12 48 e6b9b6,,,,,,h6b9,,,e6b9b6,,,,,,,,,h6b9,,,e6b9b6,,,b9h6,,,,,,b6b9e6,,,b9h6,,,e6b9b6,,,,,,h6b9,,,e6b9b6,, | dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=large task_pixels=c |
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
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