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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
- disableddataset_image.jsonl
- disableddataset_mass.jsonl
dataset_shape.jsonl
dataset_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.jsonl
dataset_scale.jsonl
dataset_shape.jsonl
- disableddataset_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
- addeddataset_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
- disableddataset_image.jsonl
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
dataset_shape.jsonl
dataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
- addeddataset_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
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
- disableddataset_shape.jsonl
- disableddataset_solve_color.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
- addeddataset_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
- disableddataset_image_pair.jsonl
- disableddataset_mass.jsonl
- disableddataset_scale.jsonl
- disableddataset_shape.jsonl
- disableddataset_solve_color.jsonl
dataset_solve_compress.jsonl
- addeddataset_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
- addeddataset_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
- addeddataset_erotion.jsonl
dataset_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
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