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150 values
Simon-ARC-Image-Dilation mask when doing dilation NEAREST4
10 14 c0b3903,05d3090,0503c030,0a5c03a0,9a53a03030,0a5a0b309,9a5a0a3030,0535309b0,d303039,05a3b03a0,053c0a30,35303a03a0,3509a3c0,35a03c09
10 14 0c101a32,123c1342,1b2b1231,2123a02a30,3a12a12a32,3a12a10343,31g2,3b2a34121,a20a12c3,a2b10b21,b2a10c1,a2a3d10,12a3c101,121a21a0a1
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=nearest4
simons-cellular-automaton, Identify the transformation. cave_wrap,gameoflife_nowrap,maze_wrap
18 12 36a36b36a363a6363,3a636e36b3a63,63636b36b363a6a3,3a6c36b363a6a36,3636d3636e3,3636e3c6c3,h3636e3,3b6b36a36c3636,d36363c6b363,a6b3636a36c3b6,f363a6f3,a6f3636b3b6 18 12 3b6g3636363,6363a6d36c363,a6h3a6d3,6f363a63b6a3,c6g3636b3,h36g3,3636d36g3,a36b36d36b363,6b36a3636g3,f36f3b6,e36a3636c363,g3a6e363
cave_wrap=0,gameoflife_nowrap=0,maze_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
simon-image-dilation mask when doing dilation nearest4
13 7 4b51a5454548,d514a51845,4548a51514b5,451c5a1a548,a5a4a1b53b5,g5a43a5,a54a518515135
13 7 a101d2a3a2,20a1234a2a4a2,1232123a23a21,12a3a1b231a2,a1b2b1a32a1,a02a12a12a320,0c1b2b321
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=nearest4
simon-cellular-automaton, What transformation happens. cave_nowrap,maze_wrap,serviettes_wrap
21 27 494a9b4d9d49a4,h49f4a949,49f49c4949a494,b9a49a494a949e49,949c4949a4c9c49,b9f4a9c4d9,949e49e4a9b4,4a9f49d4a9b4,9b49b4b949d49a4,b9c4949a49e494,b49e49a4949d4,4e9d4949e4,a49c49b49a4949c4,a49c49a4949a49d4,49g4949d4b9,9c49h49494a9,9c49c49e49b4,c4c9a4a9a4a9494a9,c4b9a49e4c94,4949a4d9a4c9a4a9,a4a9c4b94b9a49a49,f494949b49d4,b4b9494a9f4a94,d4a9b49b4d949,a9f4c949b4b9,d49494949a4f9,49b4a9a49g49a4 21 27 g4c9d4b94,a49g49d4a9a4,b9d4a9f4c9,949d494a9f4a9,b49c4a9b4e949,94a9c4f9b4b9,9a49d4949b49b494,94a9c494a9c4949a4,9a49c4949e4a9a4,c9g4a9f4,9c4a9c4c9e4,49a4b9c4a949e4,c4a949b4a949e4,4a9f494a949b494,49m494949,a9h49c4a9a49,i4a9a4a949b4,f494b9b49b4a9,b49f4949f4,b49a49c4a9f49,a4a9a49d49e4a9,a49b4a9b4c9b4a94,c4a9494949a49b4a94,d4a949c4c9b49,d49a4a9a49g4,a9b49b494e9b49,d4a94949c4a949a4
cave_nowrap=0,maze_wrap=0,serviettes_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
SIMONSIMAGEDILATION dilation mask tlbr2
14 13 k949,j9a49,i94949,h94a949,f9a492a94,e94a92b94,d94b92b94,c94b92d9,f92e9,e92f9,,d92g9,9
14 13 i0b10,h010121,g0102b1,e0a1020b1,d010a202010,c01020a20b1,b010202021a01,c02020201b0,d020201c0,d01201d0,c01021e0,d0201e0,e01f0
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=tlbr2
SimonCellularAutomaton, Given two images, recognize the transformation. highlife_wrap,gameoflife_wrap
26 22 0,,,,w090,,0,,,,,c09t0,0,,,,,,,,, 26 22 0,,,,,,,,,,,,,,,,,,,,,
highlife_wrap=1,gameoflife_wrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
Simons-ARC-Image-Erosion erosion mask with connectivity TB2
13 19 b8910a198080,9b89b81a9a8,809a8908a0a81,1018a9a818908,a01a81a09a0a8,a9b0989a0b8,a80c8080a80,98181980a9010,a9a808a01a0a1,189a80a908081,80808098081a0,180b8b0a898,08a1081a8a181,805190d810,a80a5090b8a0,9b81a5018098,1b01a8a590a8,0189a81815b8,010a808081089
13 19 0,j010,b01b01d0,0101h0,k01,h01010,e01e0,b01b01d0,b01e01a0,0,c01b0a1b0,0,,g01c0,h01b0,0,k01,j010,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=tb2
Simon-ARC-Image-Erosion erosion mask with connectivity NEAREST4
20 16 a82f8a2c82a82,a282b82b89g8,2d82a8298a92d8,2d8b2898a2a9b82,a2c82a89d829b8,e8289c8282c8,2f8928285b82a8,f89d85e8,82d892c85d82,b82a89a82c85d8,f82e85d8,82b82b8282f82,h82i8,2c82d82f82,f8a282c82a828,b8b2g8282a82
20 16 0,d01h010a10,a0101j0b10,a0b1k01a0,b0a1e01e010,a0b1d01f010,a0c1m0,a0c1c01c0a1010,c0a1c0a1b0b1a0,j0a1b0b10,a0101d0101b0b10,b01h010b1a0,a0b10a1c0f10,a0a1h0a10a1a0,0a1h0a1e0,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=nearest4
Simons-ARC-Image-Erosion erosion mask NEAREST4
18 5 n9a69,k9b6b9,h9b6e9,c9b2a6h9,c2m9
18 5 0,0g1h0,0b1j0a10,k0d10,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=nearest4
SIMONIMAGEEROSION erosion mask with connectivity tlbr2
16 13 e82b82c82,c8a2d82c8,a86c85g8,b86b258b9c8,b826b95c8282,a82a962852c8a2,2c826a85a82a82,e826852c82,2b8a5826958a2a8,b82a8b569d8,d82b8a59c8,n82,b8a2d82d8
16 13 0,a0a1c0b10b10,01h010a10,0101h01a0,c01c01e0,01b01c010b10,0a1b01c0101a0,a01a0b1e010,0101c01d010,a01f0101b0,0b1a01d0a1a0,01a0a10a1c0a10,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=tlbr2
simon-image-dilation mask when doing dilation corner4
11 9 a0a4040a4a0,a408a4c04,a0d4a040,b38a3a4040,b080a4c0,4a084b0b4,b08c04a0,a0484a04a04,0a4g0
11 9 c12d10,12130c2a1,2c3a212a1,23a4a212131,1a343b23a2,10a23a12131,0a24a2a1231,a1b3a020a1,01a2b10a10
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=corner4
Simons-Cellular-Automaton, Cave with wrap=none. steps=1. dead=2 alive=8
13 23 2,g28c2,2,g28c2,2,,28j2,e2a8d2,d28f2,i28a2,,2,e28e2,8k2,a8j2,2,,,,,,,e28e2
13 23 2,,,,,,,,,,,,,,,,,,,,,,
dataset=cellular_automaton group=cave_nowrap ca_step=1 image_width=medium image_height=large
SimonsCellularAutomaton, Cave with wrap=none. steps=1. dead=9 alive=6
27 19 a696969b69a696a96c9c69,b9a6c969a6969696a9c696,a9696a9a6969b6i969,9a6a9b6969c696b96969a69,696969a69a6b96969b69a6b9,a69e6a96a9a6b96969c6,69a69696d9696969696a9b6,a6b9696a9b6c9a69a6a9b6,9a6b96c9696b9a696969a69,c696b96969g6c9a6,6a9a6969b69c6a9b6a96b9,a9a696a9a6b969a69a6a969a69,a9a69a6a9b696b9d6d9,9696b96a9a69b69a6a96a9a69,c69c69a6a969b6a9b6b9,6b96b9e696e9b6a9,b9b6d96a969b6a96969a6,a9a6969c6a969b6a96a96b9,69c6b96c96a969a6e9
27 19 u9b6a9,b9a6b9a69b6g9b6a9,g969d6i969,96b9d69c6k9,9a69d696b9a6b9a69b6a9,969e6d9a6b9a6a9b69,b69c6k96b9b6,96i96c9a69a6a9b6,9a6g9a6c9c6b9a69,9b6g9h6e9,a9b6b9b69h6e9,a9c6a9b6a9a6b9b6e9,a9a6d9a6b96a9c6e9,9b6a9a6a9a6a96a9a6a96d9,9a6c9e6969a6c9a6b9,c96c9c6a9696c9b6a9,b9a6c9b6a969a6d96b9,a9c6h9b6h9,b9a6u9
dataset=cellular_automaton group=cave_nowrap ca_step=1 image_width=large image_height=medium
Simon-Image-Dilation mask when doing dilation lr2
14 11 69696967a64a96,9364b96b9a76,93979b74674a9,636947659a6a97,9a09675a69a6a9,929b059a79a67,324a95b0a7a96,2b965696a4949,269759b469696,274654a96a9767,2a9a6974a97694
14 11 1f2a12b1,1b2101210c1,1c2101c210,1g2d1,b1c2a12b10,1a2101a2a12b1,1a2a1210e1,a101d2a1a21,1d2101c21,1d2a12a1a21,d1b2a1b21
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=lr2
Simons-ARC-Image-Dilation dilation mask lr2
14 4 15a606a46a0404,0a1a564a6464a6,804a1a5a68c6,a64a61e686
14 4 12a1a2a12a1a21,d1a2a1b210,1a2e121b0,012a121c0121
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=lr2
simon-arc-image-erosion erosion mask TLBR2
6 20 5,,,,,b52a5,,,,,,,56a525,,a56525,,b5625,,c525,5
6 20 0,0c10,,,010a10,01a010,01c0,,,,,0a1b0,a01b0,0,,01c0,,0a1b0,0b1a0,0
dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=tlbr2
SimonsArcImageErosion erosion mask all8
17 5 29a5d2g9,96a1g9d2,k929289,92a9a8a982e92,b92898a2b92b98
17 5 0,i01e0,0,,
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=all8
Simon-Image-Dilation dilation mask with connectivity corner4
9 8 f525,5d6a24,d52525,c5252a5,b52a42a5,a524d5,524e5,5
9 8 a1d2a1,032343131,a12321a21,a0a1b2a1,0a1212a10,a121a2a10,03b1c0,c1d0
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=corner4
SimonsImageDilation mask when doing dilation TB2
3 10 5a9,,594,,,5a9,,9,,
3 10 0,a01,,0,a01,,1a0,,0,
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tb2
SIMONIMAGEEROSION erosion mask with connectivity lr2
16 20 76b8a6868a6a767,86a768a767678687,68787a67a6868676,86a7c6a786a768,b68b76a868a686,d787a67b6a86,a67d6b767867,b6b760a63686a7,6767a68701368a68,868a678601636786,8a76a7a6107378a6,7b6868180636a76,86867a8176083687,7a6a7617a6803686,6878781686703a76,678a618a7b603a6,87a618687a6703a6,a78617a68c60a8,a681768767b6036,a68767d6a7606
16 20 b01k0,0,,d0a1h0,01b01i0,0b1f01c0,c0b1a01e0,01a01j0,0,,,a01l0,0,,,i01d0,0,i0a1c0,j01c0,f0b1e0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=lr2
SIMONCELLULARAUTOMATA, Given two images, recognize the transformations. serviettes_wrap,serviettes_nowrap,gameoflife_nowrap
13 14 j838,8,,,83j8,8,83g83a8,8,h83838,8,,3k8,8,3i838 13 14 8,,,,,,,,,,,,,
serviettes_wrap=0,serviettes_nowrap=0,gameoflife_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
Simons-ARC-Image-Dilation dilation mask trbl2
13 6 6,,,g67c6,h67b6,e6d2a6
13 6 0,,h01b0,g0201a0,f0212a10,e0d1a0
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=trbl2
simon-arc-image-dilation mask when doing dilation LR2
9 4 5a7e5,4a5a7c5,5a457b57,b54b7a5
9 4 c1d0,e1b0,b1a210a1,a01210a10
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=lr2
SimonsCellularAutomaton, Serviettes wrap=both. steps=1. live=8. dead=0.
13 9 a0b8c0a8a0,c0a8f0,0,b0a8g0,0,b08h0,a0b8b0808a0,a08d0808a0,a08a08c08a0
13 9 08b0a8c080,a0a8d0a8a0,b0b8f0,0,a0b8g0,a0808c08b0,08d0808080,08a0a808b080,08a08b08a080
dataset=cellular_automaton group=serviettes_wrap ca_step=1 image_width=medium image_height=small
SimonImageDilation dilation mask TRBL2
13 4 c6a1e63,6a8c61b9a6,6,3a6a4b2c63
13 4 a0c1a0d1,0a2a1a0c210,12a0a1b21b0,1a0d1d0
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=trbl2
SimonArcImageDilation dilation mask with connectivity ALL8
7 9 7,,b71b7,,,c73a7,7b0737,c7a03,7
7 9 0,a0b1a0,,,a01a210,a12a3a1,b1c2,c1b2,b0a1a2
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=all8
SimonImageDilation dilation mask TRBL2
13 14 5f717541,5a74d7a574,a50a51a575374,750e74357,740a7a54a7375,7014b7b53a7,507a5b757375,505a75a754357,705a7a5a739a7,701517a573954,0c75a793958,07e9535a7,a5b7a5453b5,7574754b7575
13 14 01a01b01a0a1,b12b12b121,1f2a1a21,1b2a121c20,12b1e2a1,a1c21a21a20,1a21202a1a210,1212021b2a10,1a21d212a1,a1b2a121b21,0212a12a1a2a1,a1d21a2121,1a21a2a1b2a1,a10a1a0b1010
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=trbl2
SIMONSIMAGEEROSION erosion mask trbl2
12 16 131a4f3,a3530a103103,1353101b391,135130b3913,351a3130a131,3531a3a9b30,353101c391,95093131a391,5313a013a1a3,513c131a31,193a0303b13,3a19a1303931,191310e3,31a3b090a30,1a30a1b30a3,03130c31a3
12 16 0,g01b0,c01a01c0,b01b01a010,b01a01b010,h01a0,f0101a0,g01b0,b01a01d0,01i0,0,i010,0,0a101c01a0,a01d01b0,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=trbl2
SIMONSCELLULARAUTOMATON, Identify the transformation. serviettes_wrap,serviettes_nowrap
25 12 h43h43d4,h43c43c4343b4,i434343c4343b4,a4343b434343a43h4,c43d43c43c43c4,a4a3j4343f4,c43f4a343h4,c4343b43c4c3e4,d4343c43f43c4,e43b4343a4b3f4,e4b34343k4,e43434a3b4c3e4 25 12 4,,,,,,o43g4,4,o43g4,e43q4,f43b43c43g4,4
serviettes_wrap=0,serviettes_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
Simon-Image-Erosion mask when doing erosion all8
8 12 a154b14,b141414,1a4a1541,41b42a4,a1d41,141b4a6,45d49,c1a419,41414191,a14a1491,b1a4191,a154c1
8 12 0,,,,,c01b0,0,,,,,
dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=all8
SIMONCELLULARAUTOMATA, Given two images, recognize the transformation. cave_nowrap,serviettes_wrap
22 22 n6a9d6,o69d6,6,,,,,,,,h69k6,i69j6,6,,,,e69n6,6,r69a6,q69b6,69s6,9t6 22 22 p69c6,n6969c6,6,,,,,,,,i69j6,h69k6,6,,,,,,q69b6,r69a6,9t6,69l6a9d6
cave_nowrap=0,serviettes_wrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
SIMONSARCIMAGEDILATION dilation mask tb2
13 8 b404a3e4,04b3b40c4,b4a542c402,c4254202a42,2a4024a5a2424,a4240a42a5a42,42a4a2b42542,40b42a042a42
13 8 10d101c0,20b21202a0a1,101a212121021,1a021c21021,2012a1b210a2,a1212a1b2b1,02102a12a12a0,01a010a1a01a0
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=tb2
SIMONIMAGEEROSION erosion mask with connectivity LR2
20 12 1,,c1a6m1,b16a1b6j1,b16d1a6b0e1,a16c1c0a1b6c1,a161b0j7a1,16q1,,1,,
20 12 0q10,,0a1c0k10,01d01a0h10,01b0b1c01a0c10,c0a1a0a1c01a0a10,d01a0h1b0,b0o10,,0q10,,
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=lr2
Simons-Image-Erosion erosion mask NEAREST4
7 7 c2a72,a2a7b2,27d2,7e2,2,,
7 7 0,,c0a10,a0c10,0d10,,0
dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=nearest4
SimonsArcImageDilation dilation mask with connectivity TLBR2
7 15 83d2,3c202,2828a20,a25b28,24508a1,2494127,a2a4a27,02a4252,20a4a52,28a45a2,0320a53,2825490,3a05842,235b62,a023832
7 15 a1a01a0,a12a010,0202010,a1212a1,1d21,01c21,010a2a1,0b1a20,c1a21,1a2a121,1c2a1,1b2121,0c2a1,a1c21,0e1
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=tlbr2
SIMONCELLULARAUTOMATON, Given two images, recognize the transformation. highlife_nowrap,serviettes_nowrap
18 21 b4k0b4,4p0,c04f04d0,0a4a04c04c0a40,a04040a4b04e0,0404h0a4b0,0a4h04040a4,404n0,0,04h04b04a0,04k0a4a0,a0a4m0,c04d04f0,i0b4d0,4o04,o040,0,d0a4j0,b04m0,a0a4m0,04l04a0 18 21 0,,,,a04n0,0,0a4n0,0,,,,,,,,,,,,,
highlife_nowrap=0,serviettes_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
simon-cellular-automata, Serviettes wrap=both. steps=1. live=1. dead=7.
11 16 a71a7a1a717,c7a17c1,d7a171a7,a1f7a1,c7a1a7171,a1a7b17a17,a17c17a17,f71717,f7a171,71b71a7a17,a717a1d7,d71d7,b71a7c17,a7d1b71,b71717c1,a7b1b7171
11 16 a1d71a71,b71f7,a1a71a71b7,c7d1a7,7b1a7a1b7,a7a1f7,a71g7,f1b71,1d71c7,17b17a1a71,7171a717a17,a7b17c17,a71f71,1i7,a1c71c7,a1b7b1b7
dataset=cellular_automaton group=serviettes_wrap ca_step=1 image_width=medium image_height=medium
Simon-Image-Dilation dilation mask with connectivity CORNER4
6 13 b5785,a5a785,95a985,a75787,9a5875,757a15,a7a195,a17857,179859,525879,528a59,a52575,952a59
6 13 0b121,0a2a42,a2a432,142a31,a2a3a2,1c32,21a241,1a2432,13b42,24a342,1b3a2,1a3240,a1a201
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=corner4
Simons-Image-Erosion erosion mask TLBR2
11 10 a14c1a741,717a1414a17,b1a4a14747,47d147a4,7d171741,7d14a174,e17a171,a17c14b1,4e1b41,a4171a4c1
11 10 0,01a01e0,a01a01d0,a0a1a01c0,b0a1a01b0,a0b1e0,a0c1a01a0,010b1b010,01c01c0,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=tlbr2
simons-cellular-automaton, Given two images, recognize the transformation. gameoflife_wrap,maze_wrap,cave_nowrap,maze_nowrap,serviettes_wrap
23 13 b7373737c3737c37a3,7b373b7373b737c3a7,73a73737d373737c37,3a7a37b37b37b3a7a373,b3737h37c3a73,a37d3b7a3a7a3a7c3,a3a7b3a7d37a37b3a7,a737b3737b3a7373b7a3,a7b37b3a7373b7e3,37a3d7b37c3a7a3a7,c3a7a37f3a7a3b7,a7a3737a37a3b737a37b3,37a373737b3d73a7373 23 13 i73e7b3b7,a73e7b3b737c3a7,c73b7d3a7a37c37,b737o3a7,u37,a37d3a7c37f37,73a7b3b7b3a7a3a7b37,b7d3a7b3c7d37,a7b3a73a7b3d7c37,7b3d7f3a7b3a7,7b3d7f3a7a3b7,7b3a7e3e73a737,i73k7
gameoflife_wrap=0,maze_wrap=0,cave_nowrap=1,maze_nowrap=0,serviettes_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
Simons-ARC-Image-Dilation dilation mask CORNER4
13 14 1b916a92a919,91a92692b1a4,9a1972629a459,1a92796a4a959,b217462125a9,a197a962a1919,a127a926a9b2,a2972a96a2b9,1297129692a92,12792a96a2a92,a97a21a2692a9,927a929261929,9729a2d9a1,9792b9292a91
13 14 a0a1b2a1a2a1,12132b3a4a32,a1324a34c32,1b3c4c31,24343b4b302,134d343241,1a34b2342312,13a43234a3231,2a323a23412a1,24a3a24323121,234a342a3a2a1,1a3231a324131,2321b2141312,1210b1202a10
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=corner4
SIMONSCELLULARAUTOMATON, Game of Life with wrapx and wrapy. Steps=1. Dead cells have value 9. Alive cells have value 4.
20 20 4b9a4c9a4g9,b49a4h94c9,9494o9,g9a4i9,f9a4j9,b94a949a4h94,4d9b4e9a4a94,94k9a4b94,9,b94o9,9,4r9,9,a94m94a9,p9a49,j9a4c9a49,j94d94a9,b94d9a4a9a4b949,a9494c94a94f9,9a494c9b4g9
20 20 4g9494g9,494a94m9,a49a4n9,f9b4i9,9,4d94a94h94,e949a4c9b49a4,f94e9b4a94,9,,,,,p9a49,o94b9,j9a4b94b9,j9494b94a9,b94d9d4e9,9a494b94b9a4e9,9a494c94a94f9
dataset=cellular_automaton group=gameoflife_wrap ca_step=1 image_width=medium image_height=medium
Simons-ARC-Image-Erosion mask when doing erosion TRBL2
20 6 68a468b6b868646a86,868634848634a523b68,8a638d1a98252a548,a63a8a68641a2a392b9,843686a83823b6862a3,68a686a86a3463686b8
20 6 0,b01o0,a0a1h01e0,0,,
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=trbl2
SimonArcImageDilation mask when doing dilation tlbr2
3 10 8a0,840,874,807,870,,840,0,,047
3 10 1a0,a10,,,120,121,,0a1,a10,0a1
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tlbr2
simons-cellular-automata, Game of Life without wrap. Steps=1. Dead cells have value 5. Alive cells have value 2.
13 12 5,,,,,g52c5,5,,,,,
13 12 5,,,,,,,,,,,
dataset=cellular_automaton group=gameoflife_nowrap ca_step=1 image_width=medium image_height=medium
SIMONARCIMAGEEROSION mask when doing erosion nearest4
19 15 3,,i37g3,j37f3,j372e3,k37e3,l37d3,m37c3,,m3a2b3,k3a2d3,i3a2f3,g3a2h3,e3a2j3,c3a2l3
19 15 0,0h10f10,0g1b0e10,0h1b0d10,0h1c0c10,0i1b0c10,0j1b0b10,0k1b0a10,,0j1d010,0h1e0a10,0f1e0c10,0d1e0e10,0b1e0g10,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=nearest4
SIMONSCELLULARAUTOMATA, Identify the transformation. gameoflife_wrap,cave_wrap,gameoflife_nowrap,serviettes_wrap,cave_nowrap
27 26 g72l7b2a7,v72b7,7,2y7,7,x727,7,,,,,,,,,,,n72j7,7,,,,,,f7a2q7,7 27 26 u7b2a7,,7,,,,,,,,,,,,,,,,,,,,,,f7a2q7,f7a2m72b7
gameoflife_wrap=0,cave_wrap=0,gameoflife_nowrap=0,serviettes_wrap=0,cave_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
SIMONSIMAGEDILATION dilation mask NEAREST4
10 7 32c1c3,32b3132a3,b32b3131,1231e3,21c313a1,12b3132a3,13a2a13131
10 7 1a2d1a0,a1a2a1a2a1,1212b1a21,a3a210b12,34a10a23a2,242a1234a2,13b212321
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=nearest4
simon-cellular-automaton, serviettes wrap=none. steps=1. live=6. dead=1.
24 21 1,o16f1,b1a6k1a6d1,b1a6l1616b1,p1616c1,1,,,v16,6u16,1,,,,,h1a6l1,1,a16t1,1a6t1,,1
24 21 1,b1a6k1a6d1,a16a16i16a16c1,a16a16i1a616c1,b1a6l1616b1,q16d1,1,,u161,,1,,,,h1a6l1,1,h1a6l1,1616s1,6a16s1,,1a6t1
dataset=cellular_automaton group=serviettes_nowrap ca_step=1 image_width=large image_height=large
SIMONSARCIMAGEEROSION mask when doing erosion nearest4
7 9 c9636,a6063a6,a9a02a6,9030b6,90610a6,60a60a6,0e6,0b65a6,9e6
7 9 0,,,d010,0,,a0a1010,a01c0,0
dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=nearest4
Simon-ARC-Image-Erosion erosion mask with connectivity tlbr2
12 13 2a4b2a52525,41254d2a4,5a2512a45a24,45a2a5b2a42,2121b252415,45b4252b14,4a25a2a12412,4a2141542412,142b1a54212,2a1c421214,13a124241a24,45a2d4141,a252152b4a5
12 13 0,h01a0,i010,b01g0,c01f0,f01c0,0,,,01i0,d0101c0,e0101b0,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=tlbr2
SIMONSCELLULARAUTOMATA, Recognize the transformation. gameoflife_wrap,gameoflife_nowrap,cave_nowrap,maze_nowrap
13 12 e0a30a3a0,0a3c0c3a0,a03e03b0,0,b0a3g0,b0b3e03,b03f0a3,0,d03f0,b03h0,k03,0 13 12 e0a30a3a0,0a3b0d3a0,0a3e0a3a0,b03h0,b0b3f0,a0c3d0a3,b03f0a3,0,,,,
gameoflife_wrap=0,gameoflife_nowrap=0,cave_nowrap=0,maze_nowrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
SIMONSARCIMAGEEROSION erosion mask with connectivity LR2
14 14 b56f5a65,6g56c5,f56e5,5,f56e5,f52e5,56d582a5656,e5857256a5,e587a52b5,d5857a52b5,6c587c52a5,c568a5656526,c587f52,c58h5
14 14 01b0d1c0,a0e1b0a10,0d1b0c10,0k10,0d1b0c10,,b0b1g0,0c1h0,0c1f010,0b1g010,a0a1c0a1c0,0a1j0,0a1c0d1a0,0a1b0f10
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=lr2
Simons-ARC-Image-Erosion erosion mask nearest4
20 6 3,e39398b3c5b3,939a3g538d3,c5c738e38a38,a3b1b3e738c3,e3k739
20 6 0,010a1l010,p0a10,0,q010,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=nearest4
simons-arc-image-erosion erosion mask with connectivity NEAREST4
7 7 d717,b7a1a7,7a106a7,17676a7,b767a6,e76,7
7 7 0,,,,01d0,0a101a0,0
dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=nearest4
SIMONIMAGEEROSION erosion mask with connectivity all8
7 8 b87b8,,850c8,a80c8,84507a8,8480878,a8a1083,c8738
7 8 0,d010,,0,,,,
dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=all8
SimonCellularAutomaton, Given two images, recognize the transformations. maze_wrap,serviettes_wrap,gameoflife_wrap,highlife_nowrap,highlife_wrap
13 18 5,,,,c5b2e5,c5a2f5,d52f5,c5b2b5a25,i5a25,2i5a2,2j52,5,,,,,,f5b2b5 13 18 g52c5,5,,d52f5,c5252e5,5,,c5b2b5a25,d52f5,2h52a5,2i525,5,,,,,g52c5,
maze_wrap=0,serviettes_wrap=0,gameoflife_wrap=1,highlife_nowrap=0,highlife_wrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
SimonImageDilation dilation mask with connectivity LR2
7 12 6,,b69606,,b69b6,,d606,a6c76,d606,,,6
7 12 0,,a01b21,,a0121a0,,c0121,0a1a0a1,c0121,,,0
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=lr2
Simons-Image-Erosion erosion mask TRBL2
19 9 4,d42l4,,,d42h4b04,d42i45a4,d42h45b4,c4a3b4e5c4,b4e5i4
19 9 0,0c1a0j10,0b1b0j10,0b1b0h1b0,0b1b0g1c0,0b1b0f1b010,0b1b0b1d0b10,0b1j0b10,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=trbl2
SimonsArcImageDilation dilation mask trbl2
13 5 c8a3f8,87d6e8,a87i8,a875h8,b85h8
13 5 a0e1d0,0e2e0,a1b21f0,01a21g0,0b1h0
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=trbl2
SIMONSIMAGEEROSION erosion mask all8
20 16 f2a62a62f6,262626a26a2a65a26262,b626b26b2c626a5,d6d26b2a62626,b62b626c2b62b6,a462a62b626a26a2a62,a6c4626a26c262a6,5c65c42a62625b6,d626262b426a2626,6a252b6c76c4262,a2b6a25d6c7276,2c626a2b62d6a2,62e6a2a6a262b62,a62d6a252c626a2,2c62b625a62d62,562a62a62a65e626
20 16 0,,,01q0,0,,,,,,,b01o0,0,,,
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=all8
Simons-Cellular-Automata, Given two images, recognize the transformations. cave_wrap,highlife_nowrap,serviettes_nowrap
23 13 d25p2,m25g2,d25g25g2,2,,,,q2a5b2,2,,h25l2,2,h25l2 23 13 2,c2b5e2525f2,l2525f2,2,,,q2a5b2,2,q2a5b2,2,,g2b5k2,2
cave_wrap=0,highlife_nowrap=0,serviettes_nowrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
simons-arc-image-erosion mask when doing erosion CORNER4
17 7 a2673b4b27b626,b6a73a7a2a467a62,g2b672a6a7,a6a3a73b67e6,6267b3a67a6767a6,c2a6a3626b72a6,7c27272c6a767
17 7 0,,l01b0,h01f0,0,,
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=corner4
SimonCellularAutomata, highlife wrap=none. steps=1. live=8. dead=3.
14 22 c38h3,b3b8c38b3,b38i3,e3a8a38b3,,f38d38,h383838,k383,a38f38b3,g38d3,a3a8i3,g38d3,a3b8c38c3,3,c38c3838a3,j3838,g38a3b8,i383a8,i38b3,i3a8a3,3,38g3a8a3
14 22 b3b8g3,b3838g3,b383a8f3,e3a8e3,g38d3,e3b838383,l38,i3b83,3,a3a8i3,3,c38h3,b38i3,c38d38b3,i38383,j3b8,i38b3,h3a8a38,h3a8383,i3a8a3,3,
dataset=cellular_automaton group=highlife_nowrap ca_step=1 image_width=medium image_height=large
SIMONCELLULARAUTOMATA, Maze wrap=none. steps=1. live=4. dead=5.
26 6 4x5,n5a4h5,5,,,t5b4a5
26 6 5,n5a4h5,5,,u54b5,t5b4a5
dataset=cellular_automaton group=maze_nowrap ca_step=1 image_width=large image_height=small
simons-cellular-automaton, game of life wrap=both. steps=1. live=1. dead=5.
10 22 1,,,,,,,,,,,,,,,,,,,,,
10 22 5,,,,,,,,,,,,,,,,,,,,,
dataset=cellular_automaton group=gameoflife_wrap ca_step=1 image_width=small image_height=large
SIMONIMAGEEROSION erosion mask with connectivity corner4
9 7 8,f898,a85a8a9a8,b8a50b8,b805a8a2,a80a252a8,8027a85a8
9 7 0,a01e0,01d010,0,,,
dataset=erosion group=apply_erosion image_width=small image_height=small connectivity=corner4
simons-image-dilation dilation mask CORNER4
15 7 7a67b6c76a75,76a7a26d7a56,67a27a6b7657a6,6267a676a756a76,c67676a567a67,f65767b67,b7676a7a67a676
15 7 c12121b02120,1a2324120121321,a1d2c1c2,1b21213b21a20,10203132a312121,1213041a32312a1,b10202a12a1010
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=corner4
SIMONSIMAGEEROSION mask when doing erosion TB2
16 5 e76a7b972a7,23a7b4a97a3c7,37a4737373c737,b73b72b76a7a3,d73f72a7
16 5 0,k01a01,k0a1a0,01a0101010101b0,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=tb2
Simons-Image-Dilation dilation mask TLBR2
5 8 58a95,a94a8,984a9,85409,a9408,b940,a9840,5a948
5 8 c10,1b21,1a2a1,1b20,0c1,0b10,a0a21,b0a1
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tlbr2
SIMONIMAGEDILATION dilation mask TRBL2
10 8 g857,a85a457b8,d2a4258,5e8a47,e87b8,858585b85,8585a7b85,58a7a5c8
10 8 b0f1,01f21,1g21,f1a21,a010102a10,0212121a01,b121210a1,a010a1a010
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=trbl2
SimonsCellularAutomaton, What transformation happens here. maze_nowrap,gameoflife_nowrap
17 21 4a7e47e47,47n4,,a7j4b74,47l4a7,4a7h4a74a7,a4747b4b7b47a4,a47b474a7f4,b474b747d474,4b7a474a7b4c7,b7c4a7e4a7,47e4747474b7,47a4747b4747c4,47c47b4b7c4,a7g4747c4,f47a47b4a74,7d4747c4c7,c4b74747a4c7,a47d47474b747,a4b7e4b7a47,h4a747b47 17 21 4a7m4,a7n4,4a7j47a4,b7j4b7,k47c4,4b7d47b47a47,a47c4a747a4b74,a474747i4,474b7c47c4a7,7a4b7b47f4,7a47l4,g47c4a747,b7a4747a4747a474,4a7a47b4a74a7b4,a7f4a74a7b4,a7d474747c47,e4747g4,d4a747a47d4,a47c47a47d47,a4a7i4747,b47e474a7b4
maze_nowrap=0,gameoflife_nowrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
SimonsImageErosion erosion mask with connectivity lr2
16 6 g54f5,g524e5,b5d125c4a5,g52a54c5,k54b5,5
16 6 0e1b0d10,0e1c0c10,01a0b1c0a1b0,0e1e0a10,0i1b010,0m10
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=lr2
SimonsImageErosion erosion mask LR2
14 18 b12a1d8b1,12c84b14a12,b2c14a2a4a1,1a2b121242b1,a20b12a14a121,9a20a121421412,921061a4c121,91a2061421a212,9b1404f1,94242041a2c1,9a1414012d1,912c10b1241,b1a2410c142,a12b1240a4141,2c121a202124,b1a2a1a20c1,a14a2c140121,1212d1b212
14 18 01d0b1a010,b0a1b01d0,01a0a1g0,c01f010,c01h0,0,h0a1b0,0,a01d0d10,j0a10,i0b10,c0a1b01c0,01f0a1b0,c01h0,a0a1i0,01h0a10,e0a1e0,d0b1a01b0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=lr2
SIMONSARCIMAGEDILATION dilation mask trbl2
9 4 c945b9,b93735a3,a9a7b5a9,975c959
9 4 c0d1,b0212121,a0a1212a1,a0c1010
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=trbl2
simons-image-dilation dilation mask LR2
4 14 a7a5,a575,5750,7570,a520,5720,5460,7960,7560,5750,7570,75a7,5b7,a757
4 14 0a10,0121,1a21,,0121,1a21,,,,,,1210,a1a0,0121
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=lr2
simons-arc-image-erosion erosion mask tb2
8 15 d08a0,c018a0,c016a0,a0a61b0,96061b0,9a061b0,9a0601a0,070601a0,097601a0,090781a0,096708a0,a0607a04,a06a0a40,0,
8 15 0,c1a0a1,a1a010a1,c010a1,b0d1,10a1a0a1,a0a1a0a1,b0d1,1c0b1,a1c0a1,1d010,101d0,a101c0,a10a1a01,0
dataset=erosion group=apply_erosion image_width=small image_height=medium connectivity=tb2
SimonCellularAutomata, Recognize the transformation. cave_nowrap,highlife_wrap,highlife_nowrap,maze_nowrap
13 25 9,f97d9,9,,,,,,,,,,,,,,,,,,,,,, 13 25 9,,,,,,,,,,,,,,,,,,,,,,,,
cave_nowrap=1,highlife_wrap=1,highlife_nowrap=1,maze_nowrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
simon-cellular-automaton, What transformation happens. gameoflife_wrap,cave_wrap,highlife_nowrap
16 26 a7272b7c2c7,b27a2f7a27,d2727d2b7,a7a2a72727d27,c2a7d2727a2,a7c2b72e7,f2b7272a72,7b272a7a2a7b27,7b27g27a2,27b2c72727b2,7b2b7e2b7,a727b2d7b27,a2d72a72c72,a727a27a2d727,a7272a7c2c72,d2727272727a2,7c272b7c2a7,e27a2a7d2,7272a7b27a2a727,7272a7a2a727c2,2a7b2a727a2c7,27b2d7a27b2,727e27a2a727,27a2b7h2,27b27f27a2,a7d272727a2a7 16 26 a2727c27e2,2a72a7i2,2c7c2c7b2,b27c27272a7a2,2b7b2c7d2,c2a7b27e2,27b27i2,272727a2a7a2b72,2727c2d72a7,7a2a7c27272b7,2b7e2b7b2,a27l2,2,f2a7f2,a2727a2b7d27,b727d27d2,c27e2b7a2,a72b727b2c72,2727a2b7a27a272,e2a7a27d2,7a2a7d2a7c2,a2a7e2a7b27,272a7a2a72a7a272,72a7g2c7,a27272b727272a7,a272a7a272727b2
gameoflife_wrap=0,cave_wrap=0,highlife_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
SimonsCellularAutomaton, Given two images, recognize the transformations. gameoflife_nowrap,serviettes_nowrap,highlife_wrap,cave_wrap,maze_wrap
15 13 0,,,,m04,4m0,0,,,,,, 15 13 0,,,,m04,4m0,0,,,,,,
gameoflife_nowrap=0,serviettes_nowrap=0,highlife_wrap=0,cave_wrap=0,maze_wrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
simons-cellular-automata, Given two images, recognize the transformation. highlife_nowrap,cave_wrap,gameoflife_wrap,highlife_wrap,serviettes_wrap
12 17 d27e2,2,272c7a2b7,j27,b2727b27a2,f2a7b2,d2727a272,f27a272,d27a27b2,2,b2b7e2,7c272a7b2,b2a7c27a2,a72a72a7a2a7,a272b7d2,a272a7e2,2a7h2 12 17 2,e27b272,7b2a7c2a7,72a7a27a2727,g27b2,c27a2b7a2,f2727a2,f2b7a2,2,d27e2,c2b7d2,d2a727b2,2b7d2a72,a7c2a7a2a7,727c27b27,a272727d2,2d7e2
highlife_nowrap=0,cave_wrap=0,gameoflife_wrap=1,highlife_wrap=0,serviettes_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
simon-cellular-automata, What transformation happens here. cave_nowrap,maze_wrap
25 26 2,u24a2,n24e24a2,o24g2,h24n2,s24c2,h2a4m2,a2a4f24l2,b2a4o24b2,2,h24n2,2,t24b2,2,m24i2,k2a4j2,k24k2,2,s24c2,r2a4c2,l24e24c2,2,k2a4j2,k2424h24,4u2a4,v2a4 25 26 2,,,,,h2a4m2,i24m2,a2b4d24m2,a2b4s2,2,,,,,l24j2,k2a4j2,,2,r2a4c2,r2b4b2,r2a4c2,k2a4j2,,k24i2a4,2,v2a4
cave_nowrap=0,maze_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
SIMONIMAGEEROSION erosion mask corner4
12 14 i929,,h9829,0g92a9,90e982a9,a90b95982a9,a9a0b9892a9,b9a0a982b9,c9a0972b9,d9a092b9,d90902b9,e9020b9,f90c9,9
12 14 0,0f1c0,a0e1c0,010c1d0,a010101d0,d01e0,0,,01g010,0a1f010,0b1e010,0b101c010,0c1d010,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=corner4
Simon-ARC-Image-Erosion erosion mask TLBR2
18 18 1,,,,,,,,,,,,,,,,,
18 18 0,0o10,,,,,,,,,,,,,,,,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=tlbr2
SimonsArcImageDilation dilation mask with connectivity CORNER4
11 3 a6c7b686,b4f98,686a468c6
11 3 1g2a1,243f41,1a21e21
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=corner4
SIMONSCELLULARAUTOMATA, Given two images, recognize the transformation. maze_nowrap,cave_nowrap,highlife_wrap,highlife_nowrap,maze_wrap
27 13 0c2b0f20j2,f20f2020b2a0c2,b0a20h20e20c2,a202c0g2e02b02,b202020r2,e20f2b0a20f2,2,a20d2020c20j2,20g20o2,m2a0h202,i20i202a0a2,i20c20c20c202,g2020c2b0b2a0c2 27 13 e2b0d2a020h2,0c2020e2a0d2a0c2,2d020f20b20c20a2,a20c20g2h0a2,b20b20o20a2,e20g20j2,m2020i2,h20p2,h20c2a0j2,w20a2,m2a0g2a02,i2a0b20c20a2a0a2,e2a020c2a0d20d2
maze_nowrap=0,cave_nowrap=0,highlife_wrap=0,highlife_nowrap=0,maze_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
SimonImageErosion erosion mask tb2
18 14 a14b171a4a17b171,b1417a187a17a1414,a4d141819a17b1,b17c1789b17141,14a1a712978147c1,14147b1a287e1,c14a9a1418b2141,741491717b18a1a21,4a19141a8b18b124,1a9171497b818a124,b017a19a1a4b8424,7a4c09d14a821,4b17a4b1414d1,c14h1a741
18 14 0,c01d01a01c0,a010101e01c0,a01b01g0101,101b01g0101,101k0101,a01c01h01,a01f01f0,m01010,o0a1,f01g010,g0a1g0,g0a101d01,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=tb2
Simon-ARC-Image-Erosion erosion mask with connectivity NEAREST4
14 16 09b0929a02b0,2c0908b0920,b09267202b02,a09a096b72020,c09a06a0a730,09a02986a368a0,a29a0932a689a0,202a9206062080,20209068c690,9029c69a2b0,202608a082c0,026989a09a0989,0a208c08b09,d0a9a09b02,08b02b0a9090,09c080202b0
14 16 0,a01j0,01k0,0,,,,,,,,,f01e0,b01f01a0,b01b01e0,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=nearest4
SIMONSIMAGEDILATION dilation mask nearest4
15 15 272a7279a872a72,9a72f78a72,8a78b287b8729,78a727878b72a7,b72978a278b29,879782898a782a8,a78729b29a78a7,98928972a7a8a79,27872a7a27a8a78,2b72a797287272,a97b92a9a79a27,b72b79a7a8a28,72b7d327a87,797a2b797d3,7272a78b727289
15 15 c2a1b2123b1,3123a21212131a2,a213a2b3b2b3,2a1a323a4b23a2,a123432a3a230a3,12a3a43a4b23a2,a2434a31a32a3a2,3c4b21c212,232a321a231a213,a2123a2a34a3a23,21b2341a234123,121b2a3b23a23,121e23a4b3,1321d2a3c2,1b2e1c32
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=nearest4
SimonArcImageErosion erosion mask TB2
13 14 727a52a127212,2a52e7b2,4a72a7a1c71,47a2a7171b72,4712a71e7,4a1c7272b7,471e71a71,4a7a17a1a7217,4d71a727a2,4a71b71b717,0a7a17a272a75,201c7b3a57,17d3a72717,2a72a7a127272
13 14 0,h01b0,b0b1b01b0,a10c1a0b10,1b0a1c0a10,1010a1a010a10,1c01a01c0,a1b01a01c0,b1a01a01c0,0a1a01a0101a0,d01f0,0,,
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=tb2
simons-cellular-automaton, Recognize the transformation. cave_wrap,highlife_nowrap,maze_wrap,maze_nowrap,gameoflife_wrap
27 12 f0a6n0a60,j06k0b6,f0a60606m0,i0606b06f0b6,k06060606g0,f06c06060606g0,b0b606c06m0,e0606c0a6b0a6f0,a0d6i06a06e0,c06k0606f0,b06l0606b06060,v06a06 27 12 f0a6m0b60,h0606k0b6,f0c606m0,h0a606a0b6e0b6,k06060606e060,c060a6b0a6060606g0,b0b60a6b060a60b6f0,a06b0606c0a6b0a6f0,a0e6h06a06e0,a0606j0a60a6e0,b06l0606b0b60,v06a06
cave_wrap=0,highlife_nowrap=0,maze_wrap=1,maze_nowrap=0,gameoflife_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=medium
SIMONSARCIMAGEDILATION mask when doing dilation NEAREST4
8 11 15c151,15b17a1,a57d1,a1515b1,b170a51,15a15451,a5b14a1,e141,17a15145,a51a5154,f14
8 11 121a02a1,1a20a120,a23b1a0,12a3a210,012343a1,b123a21,b10a230,12a01b2,a2b12a3,1a2a1232,a10a1021
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=nearest4
simons-image-erosion erosion mask with connectivity lr2
14 14 91a2a3d2423,92c1284a2848,2928a3a1824a28,294a243a8a28a2,3292b4323a282,239b238b3a23,b2a3b2053242,a24a248405a328,283b280a253a2,83238a20232532,b282301c254,2428320c2845,23b201a324232,8a2480a23a4b2
14 14 f0b1c0,b0a1h0,0,,d01g0,c01c01c0,01c01f0,0,c01h0,0,01f0a1b0,g0a1c0,b01i0,k010
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=lr2
SIMONSIMAGEDILATION mask when doing dilation ALL8
5 9 1,,7c1,17b1,,a17a1,,b171,
5 9 0,a1b0,b1a0,,c10,,0c1,,a0b1
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=all8
Simon-Cellular-Automata, Recognize the transformation between input and output. maze_wrap,maze_nowrap,highlife_nowrap
13 15 0,,,,,,,,,,,,,, 13 15 0,,,,,,,,,,,,,,
maze_wrap=1,maze_nowrap=1,highlife_nowrap=1
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
SimonsImageDilation dilation mask with connectivity LR2
13 15 27j2,a26a2727c27,a216c27c2,a2167b271272,b216a2a71b2,a271262a721a7,2721a2627a212,2e0c212,27a8172e0,a727a8a26a272,2a7212a8267a2,7a27c2a87a2,g2728a2,f27a27a2,a7b27c27a2
13 15 121i0,012a1b21a0a1,01a21a0121b0,01b2101c21,a01a2c121a0,01d2a1a210,1b2a1b2a121,a1c0a1a0121,12a1b21d0,01a2c12a121,b1b2a1b210,b121a0b1210,f01b210,e012a1210,0a10121a01210
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=lr2
simon-image-erosion erosion mask with connectivity TB2
15 7 a8082a82a80b58,0m4,0b80a5b802a82,8282860a8a0c8,a2a868a0b82080,8282b8080a8080,d82a802a80a8
15 7 0,,,a01d01c010,0a1d01c010,a01f010a10,0
dataset=erosion group=apply_erosion image_width=medium image_height=small connectivity=tb2
SIMONSIMAGEDILATION dilation mask TB2
9 12 1,,e14a1,d14b1,,d10b1,,1,,,,
9 12 0,e01a0,d012a0,d0a1a0,d01b0,,,,0,,,
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=tb2
SIMONIMAGEDILATION dilation mask NEAREST4
5 13 5a2a6,56b2,526a2,5c2,562a6,58626,582a6,58b2,58b6,58a26,58b2,56b2,62626
5 13 12b1,1a2a1,13a10,12b1,1a321,13421,12321,1c2,12321,1a2a1,13101,24201,23a21
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=nearest4
SimonArcImageDilation dilation mask TRBL2
8 8 7c4047,747408a4,6b40a47,9690a4a7,79694a74,49079a47,497a49a4,474a7497
8 8 0101a0a1,a1201210,12121b0,12b1b0,a1a2b10,1a212b1,120a12a1,1a0a1010
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=trbl2

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.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_cellular_automaton.jsonl - added.
  • dataset_shape.jsonl - added.

Verison 19

Added dataset.

Datasets:

  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_cellular_automaton.jsonl
  • dataset_shape.jsonl
  • dataset_image.jsonl - added.

Verison 20

Bigger images.

Verison 21

Added dataset. Disabled some datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_shape.jsonl
  • dataset_mass.jsonl - added.

Verison 22

Added dataset.

Datasets:

  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_cellular_automaton.jsonl
  • dataset_shape.jsonl
  • dataset_image.jsonl
  • dataset_mass.jsonl
  • dataset_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 - disabled
  • dataset_image.jsonl - disabled
  • dataset_mass.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_translate.jsonl - disabled
  • dataset_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 - disabled
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl

Verison 37

Enabled all datasets

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl

Verison 38

Added dataset

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl - added

Version 39

Regenerated all datasets with new random seeds.

Version 40

Added dataset

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl - added
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl

Version 41

Regenerated all datasets with new random seeds.

Version 42

Added dataset. Disabled some datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl - added
  • dataset_solve_translate.jsonl
  • dataset_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.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl - added
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl

Version 48

Enabled all datasets.

Version 49

Bigger max_mass. From 6 to 8.

Version 50

Added dataset.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl - added
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_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.jsonl
  • dataset_erotion.jsonl - added
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl

Version 55

Added dataset. Disabled most datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl - added
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl - disabled
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl - disabled
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl - disabled
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_scale.jsonl - disabled
  • dataset_solve_symmetry.jsonl - disabled
  • dataset_solve_translate.jsonl - disabled
  • dataset_symmetry.jsonl - disabled
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