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simons-image-erosion erosion mask trbl2
13 15 25a25c25a25,2b5b29a2b5,25e295b2,52c5a2d5,d2a52a52a5,2525a2a525b2,5e25c25,b25b25252a5,5b252a5d2,c25b25c2,5252a5d252,525c25a25a2,h25b2,f25d2,a5h252
13 15 0,c0b1e0,01d0101b0,01j0,g01c0,a01i0,0101d01010,a0101d01a0,0101h0,a01c010b10,e01a0a1a0,d0a10c10,a0c101a0a10,b0c1a0b10,0
dataset=erosion group=apply_erosion image_width=medium image_height=medium connectivity=trbl2
simons-arc-image rotated halfway
16 8 3d0c30a30a3,3030e30b303,b3030a30a3a1b3,0d3c9a1c3,0c30a3061a3a03,0b8a03a6b3a030,0b38a6a30a30b3,c3030b3a0c3
16 8 c3a0b3030c3,b30a30a3a68b30,03a0b3a63a0b80,3a0a3160a30c30,c3a1c9d30,b3a1a30a3030b3,30b30e30303,a30a30c3d03
dataset=image_deserialize group=rotate_180 image_width=medium image_height=small
Simon-Solve-V1, 'O2T', predict the image
I0 1 2 6,8 O0 1 2 8,6 I1 2 4 23,,3, O1 2 4 3,,23, I2T 4 6 8686,1468,8968,8486,81a8,8 O2T None I3T 6 1 5a0a65 O3T None
4 6 8,81a8,8486,8968,1468,8686
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1 predict image for 'O4T'
I0 2 5 90,,39,79,46 O0 2 4 90,39,79,46 I1 5 2 a51a9,c62 O1 4 2 51a9,b62 I2 2 5 76,,37,98,9 O2 2 4 76,37,98,9 I3 4 4 1,,a1a8,a101 O3 3 3 1,1a8,101 I4T 4 3 7a89,9a89,7b9 O4T None I5T 6 6 a84b8,a804a8,a80848,80b84,80c8, O5T None
3 3 789,989,7a9
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SimonImageShape find shape3x3 bit 1
27 21 b3a9b3937d318c39a379,39d39c3a791737g3,e39a37a37a17j3,39797a397b31c373a9e3,7i31d37d3a7a3,f37a319a39b393937c3,a37d3a197d393797a37a3,9a3a939139a3979c373b7a39,a937a91d3737373937e3,b3731a7a9397e37c39a3,39731e39b37a39b373739,73a1a3a9b3a737c3d7979,919b37g39c397b393,1a3937e3739b39373a9793,137b3937d3a9f397a3,1d39397c3797b39a39b3,13973a7c37b3a939b39b37,19g3939e39a3a93a7,793a9379a7c37b3a79a37b3,7b3a939a79a373737b37c39,e37939c3937a9737d3
27 21 0,101a0a1a0101f0b10a1a0,10c1a010b1c010g1,1c01c0a1c0101a0e1,d0a1a0a1a0e1a0a1a0a1,0e10a1a0a10a1a0101b0a1,a10c1d0a10a1b01a010a1,01b01h0a10a101b010,10101b010a1b0101e0a10,a0a1e010a10101b0b10a1,1h0a10a10a1a0a101010,d01a0b1a01a0a1c01b01,c0a1a0b1a01a0b1a01d0,c01a0d101a0a101d0a1,a1a01a010b10a10a101010a101,a10d1a0c1010b10b10a1,a1a01a01a010a101010101a0a10,1b01a0b1b0a1a01a0b10101,0a1a01d01010b1b01a01a0,10101a0b10a1b01d010a10,0b1b01b0a1f0e10
dataset=shape group=shape3x3_center image_width=large image_height=large
simon-arc-image-dilation dilation mask with connectivity trbl2
6 10 a83b8,,b83a8,,b8138,c838,c8a3,a8a3a8,3,8
6 10 a0a1a0,012010,010210,a012a1,a01a21,a0a121,b02a1,0a1021,b1a21,d10
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=trbl2
simons-arc-image-mass max mass 6, connectivity nearest4
9 7 4,4c3c4,a4a847b9,b4a79b4,e4a84,4,
9 7 0,0c1c0,a0f1,b0b1b0,e0a10,0,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.NEAREST4 max_mass=6
Simons-Image-Dilation mask when doing dilation TLBR2
6 9 d59,,c596,,,b5956,b59a5,c0a1,5a9b5
6 9 c010,b0b1,b0121,,a01021,a01201,b1a20,1c21,0d1
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tlbr2
Simons-Cellular-Automata, Recognize the transformation. serviettes_wrap,gameoflife_nowrap,serviettes_nowrap,gameoflife_wrap,cave_wrap
17 24 b8a0b8c0b808,d80b80d8a0,a8080808a0a808080,c80808b0e8,a0c80f8b0,8080c8a0f8,a080h8b08,8a08080808b0b80,0808080c808b08,b0a808b08080a80,f80a8080b80,0c8c0808a0b8,d80c80e8,a8a0a8b0c8b08,c80d808a0b8,8080g80a808,8b080c8b080a8,a808a0f80b8,a80b80c8080b8,a8c0j8,a80b8080g8,a808a080h8,d8b080d808,0c808a080c808 17 24 8,h80d808,g8a0f8,h80f8,8,80n8,8a0m8,8a0h8080a8,8a0g8a0c8,80n8,e8b0b80c8,e80i8,e8a0h8,8,l80b8,j8a0c8,a8a0l8,a80m8,b80l8,,,d8b0h8,,8
serviettes_wrap=0,gameoflife_nowrap=0,serviettes_nowrap=0,gameoflife_wrap=0,cave_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
Simons-Image-Scale scale-x up by 3
9 13 2,,,,,,,,,,,,
27 13 2,,,,,,,,,,,,
dataset=scale group=scale_input image_width=small image_height=medium scalex=up3 scaley=up1
SIMONSARCRLEIMAGEPAIR, Histogram-A without colors of Histogram-B
13 3 h1b81,d1c8c1,b1a8g1 5 7 848a4,41484,46148,86810,86845,48a58,058a4
empty
dataset=image_pair group=a_remove_b_colors image_width=medium image_height=small
SIMON-SOLVE-VERSION1 predict image for O3T
I0 16 16 a95a956859595a95,,,,5b9b56c8c9,,,,d9c3e29,,,,59c3c95c95,,, O0 16 4 a95a956859595a95,5b9b56c8c9,d9c3e29,59c3c95c95 I1 15 8 a8569c5d85,,,,85a86b9a8585a8,,, O1 15 2 a8569c5d85,85a86b9a8585a8 I2T 6 8 35b23,,,,a81a03,,, O2T None I3T 7 8 a7c37,,,,a0a6b3,,, O3T None
7 2 a7c37,a0a6b3
dataset=solve_scale group=x1_y4down predict=image image_width=medium image_height=medium task_pixels=b
simonsolvev1 predict image for O3T
I0 18 14 7,c7b2e5b2a7,,,c7e5b2b5a7,,,c7h2b5a7,,,c7b5b2b5b2a7,,,7 O0 48 48 b5e2z5b5e2b5,,,e2b5b2w5e2b5b2,,,h5b2z5e5b2,,,b2b5b2z5b2b5b2b5,,,z5e2n5,,,w5e2b5b2k5,,,z5e5b2k5,,,w5b2b5b2n5,,,b5e2e5e2e5e2n5,,,e2b5h2b5h2b5b2k5,,,h5b2h5b2h5b2k5,,,b2b5b2b5b2b5b2b5b2b5b2n5,,,n5e2q5e2b5,,,k5e2b5b2k5e2b5b2,,,t5b2t5b2,,,k5b2b5b2n5b2b5b2b5,, I1 16 15 7,,a7h5d7,,,a7b5b2b5d7,,,a7h2d7,,,7,,, O1 27 27 5,,,,,,,,,h5h2h5,,,h5b2b5b2h5,,,5,,,2,,,b2b5e2b5e2b5b2,,,5,, I2 22 14 7,,d7b2e5b2d7,,,d7b2b5e2d7,,,d7e5b2b5d7,,,7,, O2 48 27 b5e2z5b5e2b5,,,b5b2z5e5b2e5,,,e2b5b2w5e2b5b2,,,b5e2q5e2e5e2b5,,,b5b2t5b2h5b2e5,,,e2b5b2k5e2b5h2b5b2,,,z5e2n5,,,z5b2q5,,,w5e2b5b2k5,, I3T 16 21 7,,,,,b7b2b5e27,,,b7b5h27,,,b7b5e2b57,,,b7k57,,,7,,, O3T None
48 48 b5b2t5b2h5b2e5,,,b2t5b2h5b2h5,,,b2e5b2k5b2e5e2e5b2,,,k2k5w2,,,n5b2h5b2h5b2e5,,,k5b2h5b2h5b2h5,,,k5b2e5e2e5e2e5b2,,,k5z2h2,,,n5b2h5b2q5,,,k5b2h5b2t5,,,k5b2e5e2e5b2k5,,,k5w2k5,,,5,,,,,,,,,,,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e
SIMON-ARC-HISTOGRAM, perform add
3:1419,8:1131,2:984,5:454 9:963,5:416
3:1419,8:1131,2:984,9:963,5:870
dataset=histogram_two group=add histogram_size=d
Simon-Image-Scale, Given two images, recognize the transformations. x3up_y1,x2up_y1,x1_y1
12 6 g3c4,c4c3c4,c3g4,c4c3c9,c3c9c4,c4c9c4 3 30 a34,,,,,434,,,,,3a4,,,,,439,,,,,394,,,,,494,,,,
x3up_y1=0,x2up_y1=0,x1_y1=0
dataset=scale group=recognize_transformation image_width=medium image_height=small scalex=down4 scaley=up5
Simon-ARC-Image-Scale scalex=up5 scaley=down3
6 21 a981a9,,,a9a1a9,,,91a969,,,10b96,,,9,,,,,,,,
30 7 i9d8d1i9,i9i1i9,d9d1i9d6d9,d1d0n9d6,9,,
dataset=scale group=scale_input image_width=small image_height=large scalex=up5 scaley=down3
Simon-ARC-Histogram, perform minus
8:1422,0:1119 9:1445,1:1416,4:1073,0:1027,7:786,6:609,8:410,5:319,2:144
8:1012,0:92
dataset=histogram_two group=subtract histogram_size=d
Simons-ARC-Image-Dilation dilation mask TLBR2
15 12 b530a535435353,535450505c035,3c54a5450b53,0503a50a53a54a5,53b50b5053535,b353534530c5,5303b53454a3a5,353d53530535,a50b5353e5,5453c50434b5,d54a535453a5,a5345453b5a3a5
15 12 10a1a0e1b0,020a2102a1b2a0,a12012102012a10,a1a2102012a12a0,a10212d12020,02a020a102b101,a02101a0a1a21a0,e10b1a2a10,a121a021a2b101,02021a0a21a2b0,0120a2102a1a2a0,a0a10b1010b10
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=tlbr2
Simons-Image-Dilation mask when doing dilation tb2
3 8 983,936,962,623,983,a13,a83,838
3 8 0a1,0a2,1a2,a21,a20,,121,0a1
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=tb2
simonsolveversion1, O4T, predict image
I0 13 18 3b03c6c8,,,,,,a5b6a0b3b0,,,,,,305c3a03b0,,,,, O0 13 3 3b03c6c8,a5b6a0b3b0,305c3a03b0 I1 20 12 b7j4a7b17,,,,,,a98f7e3c7,,,,, O1 20 2 b7j4a7b17,a98f7e3c7 I2 13 6 6a3i7,,,,, O2 13 1 6a3i7 I3T 6 18 a13b1,,,,,,131b3,,,,,,3131a3,,,,, O3T None I4T 18 12 d5c6h5,,,,,,h5c7d5,,,,, O4T None
18 2 d5c6h5,h5c7d5
dataset=solve_scale group=x1_y6down predict=image image_width=medium image_height=medium task_pixels=b
Simon-Solve-Version1, 'O5T', predict the image
I0 5 2 a2b4,a4b6 O0 5 2 a2b4,a4b6 I1 2 2 5,58 O1 2 2 5,58 I2 2 2 43,84 O2 2 2 43,84 I3 2 6 81,,84,24,21, O3 2 6 21,,81,,84,24 I4T 6 7 a565a6,b56a5,a56a56,c565,5,,6d5 O4T None I5T 7 4 4,d434,4,c43a4 O5T None
7 4 4,c43a4,4,d434
dataset=solve_translate group=translate_yplus2 predict=image image_width=small image_height=small task_pixels=a
SIMONSIMAGESHAPE identify places where shape3x3 contains bit 2
28 19 3636a314a36364b363634a3a634,b31a3a43b6346316c36a3a61,46b363616313631a634a346a363,a346163b6361a6a31b646a3a13,a313636c3636a1343a6f3,46a34d3636315a36b3641363,b631a631b3a6135b361636b3,636a36b3636314635a63143a863,31364c3a6a314a35a616a87363,c31b3131a61b3153187a3463,36f96436143a635676b363,c36b36b919a2a63a74b3636,6a31a36b3631634a273b6a34a3,a3a136a364a31463a7a236b3613,3614363a643a163763432a6364a3,a6a31a4a3631367b63161a6c3,6e3a6461a73634d6d3,a1d363437a363b636a36a363,3b6b31a6d343b6a36d3
28 19 0,01a01010a101b01b0101e0,b0a1c01b0c10101f0,01e01k0c1b0,1b0b1a01b01d01a0a1a010,a01b0f101a0a10a1b01a0,1e01a01c01a0a1e010,1c0a1010a101a01a01g0,101a0b1a0a1b01a0101a01c0,01b0b1e0a1d01a01b0,1m01a01a0101c0,g01b01b01b010d10,0a10a1k01c01c0,b10c1a01e01b0b1c0,101b0a1a0a10b1b01b0a1010,1a01f01a0a1a0101a010a10,b1b0101c0101b010e10,a0c101b010b10a101010a1a0,c0a1d0a101a010e1010
dataset=shape group=shape3x3_center image_width=large image_height=medium
Flip-B SIMONARCIMAGE
8 7 1a2d1,f19,9c2a19,1912a121,1912b19,21b9a19,19c1a2
7 8 2a91a91,2a12b1,1,19a12a1,19b2a1,19a1212,91a9212,12a19a1
dataset=image_deserialize group=flipb image_width=small image_height=small
simonsolveversion1 'O3T' predict the image
I0 7 2 4a1b47,b4a149 O0 2 7 4,41,,14,,4,97 I1 2 1 17 O1 1 2 1,7 I2 1 10 3,6,,,,,,,3,6 O2 10 1 63f63 I3T 10 9 a10a29c1,182515a9a1,18g1,18b15a1a5,81510d1,8a101010a1,5c1515a1,1,15g1 O3T None I4T 9 5 5,,,, O4T None
9 10 a15a8c1,5c1b81,c15a120,b10b152,c10b12,a15015159,f191,a150b191,d15b1,
dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a
SIMONSIMAGESCALE scalex=up5 scaley=down7
3 7 6a9,,,,,,
15 1 d6i9
dataset=scale group=scale_input image_width=small image_height=small scalex=up5 scaley=down7
SimonsImageMass identify places where max mass is 1, connectivity toprightbottomleft2
7 9 a090a90,b9a020,a0a9029,d920,b90929,9098296,9080296,a989206,098b96
7 9 a10c1,10d1,a1a0b1,1b0b1,b0a1a0,0a1b01,a10c1,1,
dataset=mass group=max_mass image_width=small image_height=small connectivity=PixelConnectivity.TRBL2 max_mass=1
SIMONSCELLULARAUTOMATA, Identify the transformation. gameoflife_nowrap,cave_nowrap
16 27 8,,,,,,g81f8,8,81m8,,81g81d8,81g8a1c8,81i81b8,g81c81a8,g81c8a18,l8b1,a1k818,a1m8,a1l81,8,,,,,,, 16 27 8m18,1,,,,,,,8n1,,,,,1,m1a8,8l181,n18,18l18,1,8n1,1,,,,,,8m18
gameoflife_nowrap=1,cave_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
Simon-Solve-Version1, 'O5T', predict the image
I0 6 9 a13b1,193b1,593b1,5017a1,1517a1,19c1,a19b1,1, O0 6 9 7,c737,7,,,,c737,,7 I1 9 6 b1858b1,c15c1,a8a15c1,a1a850b1,b145a8a1,18185a081 O1 9 6 7,f737,,7,, I2 3 7 3,,,,a30,309,303 O2 3 7 7,737,,7,,, I3 9 6 7,,,,, O3 9 6 7,7f37,,,,7 I4T 3 10 5,,,,,,,1a5,515,a51 O4T None I5T 10 8 1,,2h1,12g1,a12b1c7,a1c7c1,b1a3d1,1 O5T None
10 8 7,a7f37,b7e37,c73d7,7,,f7a37,7
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
Simon-Image-Shape identify places where shape3x3opposite contains bit 3
30 1 7a32a3b2o5a35a2
30 1 b01b01a0m1e0
dataset=shape group=shape3x3_opposite image_width=large image_height=small
SimonsCellularAutomaton, Cave wrap=xy. steps=1. alive=9. dead=3.
11 16 3,,,,,,,,,,,,,,,
11 16 3,,,,,,,,,,,,,,,
dataset=cellular_automaton group=cave_wrap ca_step=1 image_width=medium image_height=medium
Simons-Histogram, number of unique colors
7:688 1:328,3:289
3
dataset=histogram_two group=number_of_unique_colors histogram_size=d
simon-solve-v1, O5T, predict image
I0 14 7 b31a36a1d3,a8a31h3,e7a1a38436,3b178a3d71,a316a31b31363,83636a1c3b8,68361313a86a31 O0 14 7 4,,,,,, I1 11 8 c6a065a60,b536060b6,650d5606,e606b5,a60a65b606,c10b60a6,05651320a60,b60a65c6 O1 11 8 2,,,,,,, I2 10 7 5c6a0b6,650a6a0a65,13a10565a6,653a036060,063063a606,b63a0a656,b6560a606 O2 10 7 1,,,,,, I3 6 13 686a58,a86a85,25a8a5,2b6a8,2565a8,256a58,5a2a58,5a2585,5a2b5,5a2a58,52a568,c568,58a565 O3 6 13 6,,,,,,,,,,,, I4T 5 12 686a5,a86a5,a8b6,85a68,256a5,,5a265,82565,62585,82a85,82b5,5a8a5 O4T None I5T 12 14 9131a4313131,b3414319141,92c0a31393,321341d04,192a4341a343,192a41b3a43,412141a43134,a123a493c4,919219434a13,a492a4313a41,a149131a49a3,a143d4143,a3a4943b493,4a3494943434 O5T None
12 14 2,,,,,,,,,,,,,
dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b
Simon-Solve-V1 predict image for 'O4T'
I0 12 8 g3c8,,,,g8c3,,, O0 27 12 w3b8,,,q3e8b3,,,e3b8e3b8h3,,,e8b3e8k3,, I1 16 12 c8g3c8,,,,,,,,g8g3,,, O1 48 27 b8e3b8w3b8e3b8,,,,,,e8z3b3e8e3,,,b8e3b8w3b8e3b8,,,,,,e8z3b3e8e3,,,b8e3e8e3b8w3,,,,,,e8e3e8z3b3,, I2 8 16 c8c3,,,,c3c8,,,,,,,,,,, O2 12 48 b8h3,,,b3b8e3,,,,,,,,,e3b8b3,,,h3b8,,,,,,,,,e3b8b3,,,h3b8,,,,,,,,,e3b8b3,,,h3b8,,,,,,,, I3 16 16 c8c3c8c3,,,,k3c8,,,,k8c3,,,,c8g3c8,,, O3 48 48 b8b3b8n3b8b3b8n3,,,h3b8t3b8k3,,,h8n3h8n3,,,b8e3b8k3b8e3b8k3,,,z3h3b8b3b8b3,,,z3q3b8,,,z3h3h8b3,,,z3h3b8e3b8,,,b8b3b8b3b8b3b8b3b8b3b8n3,,,h3b8h3b8h3b8k3,,,h8b3h8b3h8n3,,,b8e3e8e3e8e3b8k3,,,b8b3b8z3b8b3b8b3,,,h3b8z3e3b8,,,h8z3h8b3,,,b8e3b8w3b8e3b8,, I4T 8 12 8,,,,3,,,,c8c3,,, O4T None I5T 16 8 c8c3g8,,,,g3c8c3,,, O5T None
12 27 8,,,3,,,b8b3b8b3,,,3,,,,,,,,,e8e3,,,3,,,b8h3,,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e
SIMONIMAGEDILATION mask when doing dilation NEAREST4
11 15 c1a7a17a1,73a751a7513,a7a13a137a1,17a18315b1,5a718275a71,5173a85b17,15781851a71,a75318537a5,71830587b1,a1831587a17,7183a581713,18a13508513,78135170a71,8b15a7a151,871a7171371
11 15 b1d23a1,2b34323421,1b24a243a1,a2a1d310,a213234a3a2,2324a23a2a3,3434b231a3,134c343a2,12324b3212,21a23a23212,2c31343a2,a32b3b432,3b2b34a32,230b312341,1a21d231
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=nearest4
Simons-ARC-Image-Dilation mask when doing dilation corner4
3 15 862,562,2a6,,,6,,,526,5a6,,,,a62,
3 15 121,232,130,120,a10,010,0,1,130,a21,120,,,021,0a1
dataset=dilation group=apply_dilation image_width=small image_height=medium connectivity=corner4
simon-image-shape detect shape3x3 bit 7
18 28 e7473b7434a74,d7474374f7,d74a7373a74c7,b73b739h7,b73b73i7,e7a3e76b7,74d7373a74a7a67,b74b73e74a74,e739i7,c747393h7,e739h73,e7a373c74b7,73a7473b74f7,743b73d74a1b7,4c739a7c1c73,a73a739a1a73a7a3a7,a7b139c73e7,43b739374f74,d7373a73a73c7,c739c74f7,3b739i743,3b739g7a4a7,47473j747,73d734b73d7,74o7,74m7a4,a73f73a73c7,b73g73d7
18 28 c10a1b0a1b0a10,c1a01c010c10,a10a1c010a10b10,a1a0a1b0g10,b101b0d10b10,0e1a0a10b1010,1a0b1a010a1a01b0,b101b0e10a10,b101b0h10,c1d0f1a0,d101a0c10b10,0a101b010c10a10,0b1b0b1c0b10,1a01b01f01a0,a0a1c01e0a10,1g01a0a1a010,01d010a10c1a0,a0a1c010a10c10,b1b0101a0a10b10,b1b0c10c1b0,0a1b0f1a01a0,a01b0g10a10,010101a0b10c1a0,a0d1a0b10c10,a0l1b0,10f10a10b1a0,i1a010b10,0
dataset=shape group=shape3x3_center image_width=medium image_height=large
Simons-ARC-Image-Shape unique color count in shape3x3histogramaroundcenter
30 16 d1d5s1,i1g5k1,q1c5g1,o1c5i1,l1b5m1,h1c5p1,e1b5t1,a1c5i1e09f1,a5c1a7g0e19f1,a1c7p19e1,v19e1,w19d1,,x19c1,1,
30 16 c1n2j1,c1r2f1,h1m2f1,k1j2f1,g1l2h1,d1k2l1,1l21e2a32e1,d2a3a43j2a32e1,2g3k2a3a2d1,2a3c2a3g2c1c2d1,1e2n1c2c1,u1c2c1,v1c2b1,,w1b2b1,1
dataset=shape group=shape3x3_histogram_around_center image_width=large image_height=medium
simon-solve-v1 predict image for O2T
I0 6 3 7d9,39a791,d17 O0 5 3 7c9,39791,c17 I1 5 3 46b4,4, O1 3 2 464,4 I2T 3 5 2,,,, O2T None
1 1 2
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMONARCIMAGEDILATION dilation mask with connectivity tb2
13 12 8a23h2,b23d2b92,282328f2,a283d28b2,9283c2928a2,a283h2,a283a8f2,b23e28a2,b239b28c2,b23928282929,2823h2,h29b2
13 12 1g0b10,a1b01b0b20,021a02b02a10,b1a01a0121a0,2f0212a0,1b0a1a0101a0,a010a2c01a0,a01021a0102a0,c0101010201,01a0102010202,020a1010b101,0101d01b0
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=tb2
SimonArcImageShape identify places where shape3x3opposite contains bit 3
27 8 b9e1a9c18a9d18b1,91b91b919a151a9a10109a1a9,1891019a10b15a10919a109891,91a91089b10959a81a9e19,0c18a0b19a15180189e1,c1b91980b15a19a1a919101,1810a8b19a1a95b09a1a98919,c191c9a190c19c1b91
27 8 01a0c1c0a1d0b101010,010101010a1a01d0a1e0,c0101a010101c0a1c01a0,01f01b01f0c1a0,a0a1d0101a01f0c10,0a1a0101c0101a01c0a1010,01d0101e01e01010,0a10a10a1e0a1010a1a01a0
dataset=shape group=shape3x3_opposite image_width=large image_height=small
simons-Arc-Histogram, color intersection
2:1294,7:1184,6:1157,3:730,4:655,9:402,1:45 7:1559,3:1351,6:506
3,6,7
dataset=histogram_two group=intersection histogram_size=d
SIMONS-ARC-HISTOGRAM, histogram a without colors of histogram b
3:1479,4:1175,1:1105,6:953,9:666,5:488 3:683,7:484,2:203,5:26
4:1175,1:1105,6:953,9:666
dataset=histogram_two group=a_remove_b_colors histogram_size=d
simonsolvev1 predict image for O2T
I0 2 9 46,76,46,43,31,64,,4,47 O0 2 9 64,67,64,34,13,46,,4,74 I1 9 2 b8a7c8,9a7a9a5a8 O1 9 2 c8a7b8,a8a5a9a79 I2T 2 6 42,02,0,20,04,0 O2T None I3T 6 2 a59a51,b1956 O3T None
2 6 24,20,0,02,40,0
dataset=solve_rotate group=flipx predict=image image_width=small image_height=small task_pixels=a
SIMONIMAGESHAPE identify places where shape2x2 contains bit 2
19 19 2352635a65a3265a252,a262a5a26a263b2563,a26b263c2a5c26,262653263c25a26a2,a65a2a32523d25a2,6a26a265e23c2,9a7a25a246c2626a2,b2a7a2545d2a563,625a276425c23b26,5a3a5a64a23b253a25,5325a2643c2a32526,65c26456c26a362,b6a2343a25a2325b2,3532354525b26d2,32a3a2462323a232326,c2a6c236a2a6562,6c26d265e2,656a5a363g235,b36a2a5b25a262652
20 20 1r0,a1a01c01e01b0,d1d0a1b0a1b0,a1g0b10b1010,101b01b010a10a10a1,a1b01c010b1010a1,1c01d0c1010a1,1e01010c1d0,101f0d1d0,1e0b1a0b1a0a10,b101a0a1010a1c010,1a010c1a0b1e0,a1a0a1e0a1d01,1b01a0101a0a1010b1,a101b01010101a01010,101e01b0a1d0,10b10d10101c01,a1g0a1a0c1a0,1h0a10a101b0,1r0
dataset=shape group=shape2x2 image_width=medium image_height=medium
simon-solve-version1 'O4T' predict the image
I0 7 1 a7a97a9 O0 7 1 a7a97a9 I1 1 1 2 O1 1 1 2 I2 1 8 2,5,,,3,2,,7 O2 1 8 7,2,,3,5,,,2 I3 8 1 f37 O3 8 1 f37 I4T 1 1 6 O4T None
1 1 6
dataset=solve_rotate group=flipy predict=image image_width=small image_height=small task_pixels=a
simonsolvev1, O4T, predict image
I0 4 3 0,, O0 8 1 0 I1 2 12 26,,,,,,2,,,26,, O1 4 4 a2a6,,2,a2a6 I2 7 15 9789895,,,75a9b8,,,a97a8a5,,,a989785,,,a989a59,, O2 14 5 a9a7a8a9a8a9a5,a7a5c9e8,c9a7c8c5,c9a8a9a7a8a5,c9a8a9c5a9 I3 10 6 a3g8,,,a83f8,, O3 20 2 c3o8,c8a3m8 I4T 3 12 6,,,,,,,,,,, O4T None
6 4 6,,,
dataset=solve_scale group=x2up_y3down predict=image image_width=medium image_height=medium task_pixels=a
Simon-Solve-Version1, O3T, predict image
I0 5 6 a0b4,540a4,45b4,4,,9c4 O0 4 5 a0a4,5404,45a4,4,9b4 I1 6 2 c646,0d4 O1 4 2 a646,0b4 I2 2 6 17,,7,07,,7 O2 2 4 17,7,07,7 I3T 5 3 101a7,10b1,808a6 O3T None I4T 6 2 b43a6,b6a06 O4T None
4 3 1017,10a1,8086
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMON-SOLVE-V1, 'O2T', predict the image
I0 8 32 7,,,,,,,,,,a8e7,,c8c7,,a7a8c7,,7,,a8a7a8a7,,8,,a7a8a7a8,,7,,c7a8a7,,c7c8,,e7a8, O0 2 4 7,87,8,78 I1 8 32 7,,,,,,,,,,e7a8,,c7c8,,e7a8,,7,,a7a8a7a8,,8,,a7a8a7a8,,7,,e7a8,,c7c8,,e7a8, O1 2 4 7,78,8,78 I2T 32 18 e8a7e8a7e8i7,,a8e7a8e7a8m7,,c8c7c8c7c8k7,,e8y7,,a8z7b7,,c8z77,,e8a7e8q7,,a8e7a8u7,,c8c7c8s7, O2T None
4 3 b87,8b7,a8a7
dataset=solve_fractal group=fractal_to_pattern predict=image image_width=other image_height=other task_pixels=c
SIMONCELLULARAUTOMATA, Identify the transformation. gameoflife_nowrap,gameoflife_wrap
27 27 b2a7f27f27a2a727,7b2b7a27b2727b2727d2,7d27e27a27c2a7c2,a27f27e27b27d2,a27a27a27b27f2b727a2,27b2727c27b27272b7c2,7b2a72a727b2a7a2b7b2b7,2a7a27c2a7c272a7a2a7272,a272a727c2727d2a727a27,g2727c2727b27c27,c27f27b27c2a7c2,7a2b7b2727e272b72b7,2d72727d27h272,7c27a27a27c272727d27,h27c2a7d27b2a7,727b27b2a7a27b2a7a27c2,2a72727c27b27c27c2a7,c27a27c2b727e2a7a2,a2a7a27c2c727a27b27b2,727a27b27h2727a27a2,a7d272a72727d2727c2,b27e2a7b27j2,27d27b272a7c27e27,a2a72727j272a727a2,a2a7a27e27a27g272,a27b2a7e2a7b27c27a2,a7e27a2a7c27e2b7 27 27 b2a7f27f27a2a7a2,7a2c7d2c7b272727b2,a7c27e2a727c2a7c2,2a7m27b2727b2,2a7a2a727a2a7c272a72a7b2,27b2727272b72c7272727a2,7272a72c7b2b72727b2b7,2a7a272d72a72c7a2a7272,2f72a7272g72c7,b2b7a27a27272b7b27c27,b2b7b2c7b2a7b2b7a27,a7272a72c7g2f7,c7272727d2727a27b2a72,c72a72b7b2727b27d27,27f2727a2a72a72a7b2a7,72a72a7b2a7a27b2d7c2,2a7272a7a2a7b27b2a7a2c7,27a272a7c2b727e2b72,2e7c2c727a2a72a7b2,72a72a72a7c2a7b272c7a2,b7d2b72727d2b7c2,b7d2c7b27j2,272a72a7a2d7c2a7e2,2d727c2b7c2c72a72,2e7e2c7b27a2b72,a2a7a2a7c2d7f2727,a7d2a7a2a7j2b7
gameoflife_nowrap=0,gameoflife_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
Simon-Solve-V1, 'O5T', predict the image
I0 8 8 6a256a25,6a5a6a56,7b67b6,76767676,767a6767,7e67,6a5a6a56,6a2a5a26 O0 4 4 7676,7b6,6a56,6a25 I1 8 8 2,29b29a2,,29292929,292a9292,29c292,,2 O1 4 4 2929,29a2,,2 I2 6 8 a76a76,71a717,a78a78,718718,71a817,a7a8a7,71a717,a7a6a7 O2 3 4 718,a78,717,a76 I3 6 6 2a92a9,290290,195195,19a591,29a092,2c92 O3 3 3 195,290,2a9 I4T 4 6 8,8484,7,,8a48,8 O4T None I5T 4 4 0606,1616,1a61,0a60 O5T None
2 2 16,06
dataset=solve_symmetry group='extract_tile 2x2(orig flipx flipy flipx)' predict=image image_width=small image_height=small task_pixels=a
simon-solve-version1 predict image for 'O4T'
I0 2 3 12,,8 O0 2 2 12,8 I1 6 4 6,,,6a76a2 O1 4 2 6,6762 I2 2 6 96,64,9,,65,4 O2 2 5 96,64,9,65,4 I3 5 6 b383,a3831,a3823,a3a60,a3730,b373 O3 4 6 a383,3831,3823,3a60,3730,a373 I4T 2 4 36,,,6 O4T None I5T 4 5 90a7,9101,0101,a101, O5T None
2 2 36,6
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SimonsCellularAutomaton, Game of Life with nowrap. steps=1. 6 is dead. 4 is alive.
26 9 6b4d64d64646f4,64f64d64646464c6,a64a6b464b64646a4a6c46,4b64a6b4b64e6a4a646,d6a4f6f4b646,4b64646a4i64b6a4,c6a4b64i6a464a6,c46d4i64a6b4,c64c64d64c6464646
26 9 6a4o646c46,6464a64a6a4c646464d64,64b6b46a4e6b4b6a46,c64c64b64i6a4,c6464f6d4c6a46,c646c4d6c4c6b4,464f64g6d4a6,6b4a6a46a4g6a4c64,6f464j64a6a4
dataset=cellular_automaton group=gameoflife_nowrap ca_step=1 image_width=large image_height=small
SIMON-SOLVE-VERSION1, 'O3T', predict the image
I0 1 2 9, O0 1 2 9, I1 2 8 26,29,,9,62,29,2,92 O1 2 8 29,62,92,,9,26,92,2 I2 8 2 a7a3a797,a3a0a597 O2 8 2 3a0a5973,7a3a79a7 I3T 2 6 64,24,29,39,92,94 O3T None I4T 6 1 d13 O4T None
2 6 49,46,42,92,93,29
dataset=solve_translate group=translate_xminus1yplus1 predict=image image_width=small image_height=small task_pixels=a
SimonImageSymmetry apply symmetry hstack(180 orig)
28 5 94a9a4c24c2e92a9b24,729242b029492a497b2d924,9a2924a92c0494b27b4b242,49c242494a20e4a927a924,b29d2942979a242b9a24292
56 5 2924a2b924a2979249d29b294a9a4c24c2e92a9b24,42a972a9e40a249424c294729242b029492a497b2d924,24b2b47b2494c02a9429a2a9a2924a92c0494b27b4b242,42d9b279a429492b024292749c242494a20e4a927a924,4b2a92e9c24c2a4a949b29d2942979a242b9a24292
dataset=symmetry group=symmetry image_width=large image_height=small instruction_sequence='hstack(180 orig)'
SIMON-SOLVE-VERSION1, 'O4T', predict the image
I0 8 16 c0c5,,,,c5c0,,,,,,,,,,, O0 16 64 c0k5,,,,c5c0g5,,,,,,,,,,,,g5c0c5,,,,k5c0,,,,,,,,,,,,g5c0c5,,,,k5c0,,,,,,,,,,,,g5c0c5,,,,k5c0,,,,,,,,,,, I1 8 16 c5c0,,,,c0c5,,,,0,,,,5,,, O1 16 64 k5c0,,,,g5c0c5,,,,g5g0,,,,5,,,,c5c0g5,,,,c0k5,,,,g0g5,,,,5,,,,c5c0c5c0,,,,c0c5c0c5,,,,0,,,,5,,,,,,,,,,,,,,,,,,, I2 8 16 0,,,,c5c0,,,,5,,,,c5c0,,, O2 16 64 0,,,,c5c0c5c0,,,,5,,,,c5c0c5c0,,,,g5g0,,,,k5c0,,,,5,,,,k5c0,,,,5,,,,,,,,,,,,,,,,g5g0,,,,k5c0,,,,5,,,,k5c0,,, I3 16 8 c0c5c0c5,,,,c5g0c5,,, O3 64 16 c0c5c0s5c0c5c0s5,,,,c5g0w5g0s5,,,,o5c0c5c0c5c0c5c0s5,,,,s5g0g5g0s5,,, I4T 16 12 g5g0,,,,c0g5c0,,,,,,, O4T None
64 36 z5l5g0g5g0,,,,z5d5c0g5g0g5c0,,,,,,,,g5g0z5l5g0,,,,c0g5c0z5d5c0g5c0,,,,,,,,g5g0z5l5g0,,,,c0g5c0z5d5c0g5c0,,,,,,,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=e
simonsolvev1 'O2T' predict the image
I0 5 8 2,,,29b2,,,2b52,2 O0 5 8 2,,,,b292,,,5a2a5 I1 8 1 a32b763 O1 8 1 6b32b7 I2T 1 2 3, O2T None
1 2 3,
dataset=solve_translate group=translate_xplus2yplus1 predict=image image_width=small image_height=small task_pixels=a
simon-solve-version1, 'O5T', predict the image
I0 16 3 30c30a30c303,602a320a602a3206,30c30a30c303 O0 4 3 a303,3206,a303 I1 12 4 32a323a1a3a1,0c7a0c70,,a1a3a132a323 O1 3 4 3a1,a70,,323 I2 8 3 8a281a51,0a8a0a80,1a518a28 O2 2 3 51,80,28 I3 8 2 8a181a61,1a618a18 O3 2 2 61,18 I4T 12 2 7c07a0a7a0,a0a7a07c07 O4T None I5T 12 3 71a61718a181,76a16a76a167,18a18171a617 O5T None
3 3 181,167,617
dataset=solve_symmetry group='extract_tile vstack(orig flipy flipx 180)' predict=image image_width=medium image_height=small task_pixels=a
Simon-Solve-V1 predict image for 'O3T'
I0 4 18 3,,a2a6,,a2a3,,,,3,,,,,,,,, O0 2 9 3,26,23,,3,,,, I1 18 10 a6a5c8a6c8c6,,a8a5c6c8a6a8a6,,c6a5a6c8e6,,a8a6a5a8a6a8e6,,c6a5c8g6, O1 9 5 65a86a8a6,85a6a8686,a656a8b6,865868b6,a65a8c6 I2 10 2 c9e6, O2 5 1 a9b6 I3T 2 6 4,,1,,, O3T None
1 3 4,1,
dataset=solve_scale group=x2down_y2down predict=image image_width=medium image_height=medium task_pixels=a
SIMONSOLVEV1, 'O3T', predict the image
I0 3 2 891,683 O0 15 2 386198198683891,198386386891683 I1 2 4 15,75,71,87 O1 10 4 7851518715,17575a7175,57171a7571,5178781587 I2T 4 2 a8a9,a986 O2T None I3T 2 4 28,,, O3T None
10 4 82828a2828,,,
dataset=solve_symmetry group='create_symmetry hstack(180 flipx flipx flipy orig)' predict=image image_width=medium image_height=small task_pixels=a
simonhistogram plus
2:1537,1:1370,5:1129,0:1100,7:916,4:886,3:448,9:138,8:12 8:1096,2:941,6:760,1:495,7:433,0:295,4:236,5:96,3:80
2:2478,1:1865,0:1395,7:1349,5:1225,4:1122,8:1108,6:760,3:528,9:138
dataset=histogram_two group=add histogram_size=e
SIMONSOLVEVERSION1 'O2T' predict the image
I0 3 1 1 O0 9 1 1 I1 1 16 4,,,,,,,,3,4,3,,4,,3,4 O1 3 16 4,,,,,,,,3,4,3,,4,,3,4 I2T 4 4 0b2,,2, O2T None
12 4 b0h2,,2,
dataset=solve_scale group=x3up_y1 predict=image image_width=small image_height=medium task_pixels=a
simons-arc-image-shape identify places where shape2x2 contains bit 5
10 26 d72c7,7,b72b7272,72a72d7,1a72a72b7,1h7,71g7,76g7,76b2d7,26g7,76g7,,7670e7,76707a2b7,7670c727,a760e7,a760d72,a70f7,,,720f7,a70f7,a72f7,b72b72a7,b7a2d7,c72d7
11 27 1i0,0c10c10,0b10b1010,01a010101a0,a0d10a10,a010a10b10,010f10,b0f10,e0c10,d0d10,b0f10,,b010d10,d01a0a10,f0a1a0,a01a0b1010,01b0d10,010e1a0,01a0e10,,,c0e10,01a0e10,01010b1010,0a1b010a10,0a1b0c10,i01
dataset=shape group=shape2x2 image_width=small image_height=large
SIMONSOLVEV1 predict image for O4T
I0 5 6 a79a7,,7,,,9c7 O0 5 6 3,,,3b43,a3a43,3 I1 5 9 3a8a1,83b8,a83a8,b838,a8153,c85,,, O1 5 9 3,,,,,,3a4a3,,3 I2 9 6 6,d60b6,d60a96,d6a089,9a6a0a8a6,b8e6 O2 9 6 3,3b4d3,,3,, I3 7 9 c15a0,c05a0,d050,,e05,0,,, O3 7 9 3,,3a4c3,3b4b3,,3c4a3,3d43,,3 I4T 9 8 a1a0a9060,60a94a061,0610b1a0,a01a0a161,1e010,019d01,a01c010,06a1a0109 O4T None I5T 7 7 a5b4a5,343c5,3a53b5,3a43b5,2a53b5,2a52a75,5a2b57 O5T None
9 8 3,,,,,c3a4b3,3,
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=b
simon-solve-version1 predict image for O4T
I0 5 6 1,b141,b161,a19a1,b4a9,b9a4 O0 4 6 1,a141,a161,19a1,a4a9,a9a4 I1 3 5 9a3,975,560,a53, O1 3 4 9a3,975,560,a53 I2 6 3 a73b0,a07a06,a03a60 O2 4 3 73a0,0706,0360 I3T 6 2 d46,a14161 O3T None I4T 2 6 05,08,02,0,, O4T None
2 4 05,08,02,0
dataset=solve_compress group=compressxy predict=image image_width=small image_height=small task_pixels=a
SIMONIMAGEDILATION dilation mask with connectivity all8
8 4 a1a321a2,b7a5a12,a153c1,a131a212
8 4 12c3a1,24a543a1,13a43232,02a32121
dataset=dilation group=apply_dilation image_width=small image_height=small connectivity=all8
FlipB SIMONARCRLEIMAGE
16 7 17a19e1b9a1,k8b15,71a671a7a1791a95,7b1b6717191979,b19b1a6a9a19a1,17a17a919a6b197,71919b7919a17a1
7 16 1719a51,19179a1,71b919,e19,b1a989,9691781,1697181,a96a181,716a781,7916781,7916181,9716789,a191681,9b1681,17b187,7a1a781
dataset=image_deserialize group=flipb image_width=medium image_height=small
SIMONSOLVEV1 predict image for 'O2T'
I0 9 6 1g5,519e5,a51e5,b51d5,5, O0 6 9 1d5,51c5,591b5,b51a5,5,,,, I1 6 3 5d6,65a626,a2c6 O1 3 6 562,652,6,,626,6 I2T 3 1 a21 O2T None I3T 1 4 4,,7, O3T None
1 3 2,,1
dataset=solve_rotate group=flipa predict=image image_width=small image_height=small task_pixels=a
SIMONCELLULARAUTOMATON, serviettes wrap=both. steps=1. live=8. dead=2.
17 13 a2a8b2a8e282,a28c2a8g2,a28c2828f2,2,h2828d2,b2828c28e2,b28d28d282,b28d2828a2828,k28b28,8d2a8b28b282,d2b8h2,c2a8j2,n2a8
17 13 28c28a28c2828,2828a28a28f2,2828a2828g2,g2b8e2,c28d28e2,a2828b2a828d2,a2828b282a8a2828,82828b28282a8282,8d2b82a82b82,d28a28b28b28,c28b28f28,e2a8f2a8,a2f8d28a2
dataset=cellular_automaton group=serviettes_wrap ca_step=1 image_width=medium image_height=medium
simon-solve-version1, O3T, predict image
I0 3 4 0,,, O0 3 4 0,,, I1 4 5 4b0,a404,0242,42a4,0404 O1 4 5 2420,2b4,4040,b04,40a4 I2 5 2 081a6,a7406 O2 5 2 81a60,74067 I3T 2 6 54,,02,,,71 O3T None
2 6 20,,,17,45,
dataset=solve_translate group=translate_xminus1yminus2 predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-Version1, 'O4T', predict the image
I0 7 4 29d2,6e2,,1e2 O0 7 4 1,b1b41,a1c41,1 I1 4 8 9,,,6b9,,65a9,5b9, O1 4 8 1,1a41,a141,,1,,, I2 6 7 1,,b17a1,a17b1,,17c1, O2 6 7 1,14c1,1,,c141,,1 I3 7 10 a747474,4,4767474,a72a6a4,7a42867,b42846,b42467,b4a674,476a474,4e5 O3 7 10 1,,,,,,14d1,1,, I4T 5 6 b5a3,56315,562a5,62b5,2c5,5 O4T None
5 6 1,,,,b141,1
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
simon-solve-v1 'O3T' predict the image
I0 6 7 26c2,21a242,a21042,a01242,b21a2,a261a2,d26 O0 6 7 8,a82b8,8,,a82b8,82a828,8 I1 7 7 7,c73a7,,,b73b7,,7 O1 7 7 8,8b2b8,8a2c8,8a2a828,,82a8a28,8 I2T 5 5 86b4,c05,84a05,a80a5,4a5a9 O2T None I3T 3 7 a25,2,425,242,247,452,4 O3T None
3 7 8,,828,8,,,
dataset=solve_erosion group=apply_erosion_trbl2 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1, 'O5T', predict the image
I0 3 2 516,513 O0 6 2 61a516,31a513 I1 2 4 05,9,58,5 O1 4 4 5a05,9,8a58,5 I2 4 3 3753,37a8,37a3 O2 8 3 357a3753,a87a37a8,a37a37a3 I3 3 2 a78,5 O3 6 2 8c78,5 I4T 2 2 78, O4T None I5T 2 3 80,,8 O5T None
4 3 0a80,,8
dataset=solve_symmetry group='create_symmetry hstack(flipx orig)' predict=image image_width=small image_height=small task_pixels=a
simonsolvev1, O4T, predict image
I0 13 3 c9d5c9,a9a8h3,c9b8a5c9 O0 1 1 8 I1 4 2 85a4,84a8 O1 1 1 5 I2 3 1 8a4 O2 1 1 8 I3 1 1 0 O3 1 1 0 I4T 8 10 575b475,5757a579,45957a94,a5b7575,757a54a5,a57c54,a54a5459,b4d5,5a495747,4a57c4 O4T None I5T 7 9 57a5474,975a9a5,a4d5,75d7,c5497,4a5a475,b54549,c5745,a7b5a7 O5T None
1 1 9
dataset=solve_color group=least_popular_color_1x1 predict=image image_width=medium image_height=small task_pixels=a
Simon-Cellular-Automata, Identify the transformation. gameoflife_nowrap,highlife_wrap,maze_nowrap,serviettes_nowrap,cave_wrap
18 26 h5b959b59,k5a9c5,b59g5a9a5a9,b5a9b5a9595d9,a5d9b59b5b95,a5c9b5a9b5b95,b5a9b5b9c5959,f5c9f5,59d5b9g5,5a9b5b959c59a5,5a9c5b95a9a59a5,a59d59a5c9b5,g5a9a5a9c5,f5h9a5,f5f959a5,c59b5c9b5a95,h5a9d595,h5a9c5a95,9m5b9,a9l5b9,b9k5b9,59k5c9,a59b59c5e95,a59a5a9d5c9a5,59c5a9c5c9a5,9d5d9a5b9a5 18 26 k9595b9,k95d9,k9b5b9,b9a5h95b9,d95b95g9,d95b95e959,g9595f9,9,,h95g9,f9a5h9,g9a5b95c9,g9c5a95b9,m95b9,,g95a95e9,n95a9,o9a5,n95a9,95l95a9,95o9,5l95a95,o959,9,e9a5f95a9,k9a5c9
gameoflife_nowrap=0,highlife_wrap=0,maze_nowrap=0,serviettes_nowrap=0,cave_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=large
simonsolvev1 predict image for O4T
I0 3 6 8a9,839,789,7a3,939,a39 O0 3 6 393,a98,398,897,a37,3a9 I1 6 3 a5a9a5,59a515,981a59 O1 6 3 5a9815,c5a9,1a59a5 I2 3 3 619,429,898 O2 3 3 9a8,196,294 I3 3 8 3,9a3,,,393,093,303,3 O3 3 8 3,,a39,,,9a3,930,0a3 I4T 8 8 a692c6,629d6,a6462492,26462b6,6a46b86,2b82626,a64a7642,62c646 O4T None I5T 8 2 c5a9a5,1c06a9 O5T None
8 8 4a62c6,c692a6,b629b6,92a64624,a6264626,8a6a46a8,262b826,42a64a76
dataset=solve_translate group=translate_xplus2yplus1 predict=image image_width=small image_height=small task_pixels=a
SimonArcImageDilation dilation mask with connectivity CORNER4
14 7 5254a5a42c45,a56d2d48,24658a45425284,a464a545a42b4,a4e3b4245,b414a54c324,b412858a4a8a4
14 7 021c2a1b0a1,a2d43a21a21,234343a4a2b10,0a3434b3a1a21,013c4323a212,012a4342324230,a01b2121b2a1
dataset=dilation group=apply_dilation image_width=medium image_height=small connectivity=corner4
simon-solve-version1 predict image for 'O5T'
I0 4 11 a185,4b1,4a15,a015,71a2,7215,7151,7a18,7481,7518,4b1 O0 4 11 0,,,,,,,,,, I1 9 10 7,c76c7,a76765b6,6c76b7,5c76b7,c75a757,a76b76a7,5g7,d76757,b7676b7 O1 9 10 5,,,,,,,,, I2 8 9 7,d76a7,c76767,a6765765,6f7,76e7,7575c7,6f7,576d7 O2 8 9 5,,,,,,,, I3 7 14 7,e76,,765c6,c7675,75c76,7,5a75b7,6b76a7,5e7,7,6e7,a765b7,76d7 O3 7 14 5,,,,,,,,,,,,, I4T 14 5 0,,b0f5c0,0, O4T None I5T 5 5 a2a32,639a8,697a2,,627a2 O5T None
5 5 8,,,,
dataset=solve_color group=least_popular_color_same predict=image image_width=medium image_height=medium task_pixels=b
SimonArcImageDilation mask when doing dilation tb2
13 12 g757575,7a9b5c7575,79b759a59795,d79b79b7,e7a937a59,b751754375a7,7a5a7a1a73b5,7575747a13b7,a75749b7a1a7,b7459c7a57,754a79f7,f75b7a9
13 12 0d1a01c0,01b2b12b10,0d1b2a121,01b0c2a1a2,b0b1a2b1a2,0a1a21a2a10a2,01a21c2a1a2,01a2121a212a1,01b210a1a210,01b2c01a20,0a2b101a0121,0a1a0101b0a1
dataset=dilation group=apply_dilation image_width=medium image_height=medium connectivity=tb2
SIMONARCHISTOGRAM minus
4:1524,5:1435,2:1226,0:987,1:350 7:1226,0:1201,2:1063,8:879,4:874,3:412,6:301
5:1435,4:650,1:350,2:163
dataset=histogram_two group=subtract histogram_size=e
SIMONSOLVEV1, 'O3T', predict the image
I0 7 7 1d71,708b72,a10b87,710c7,1a01717,70d7, O0 7 7 a717171,b0a107,a7b087,a7178a7,c78a7,a7178a7,d721 I1 7 4 242c4,2704a24,4a7b04,42d4 O1 4 7 a4a2,2a74,4702,40a4,4024,,4 I2 4 4 a919,9619,7649,a492 O2 4 4 47a9,4a69,94a1,2b9 I3T 4 4 2a82,8a28,8a92,a8a2 O3T None
4 4 b82,8928,2928,a282
dataset=solve_rotate group=rotate_cw predict=image image_width=small image_height=small task_pixels=a
Simon-Solve-V1 'O4T' predict the image
I0 4 8 3,,,32a3,,,2636,2b3 O0 4 8 7,7a17,7,,,,, I1 6 5 5,d57,5,, O1 6 5 7,7b1a7,,7c17,7 I2 5 6 2,207a2,23b2,,,2a4a2 O2 5 6 7,,,b717,7, I3T 4 7 5,,b56,,,57a5,a573 O3T None I4T 7 9 d202,,c2302,,b23032,b230a2,a3b6a2,a2a3b2,c2a65 O4T None
7 9 7,7a1c7,,71d7,,7,,,
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a
convert Simons-ARC-Image and return the transposed
10 9 0b60b676,a5016a7a07,6054606b0,6a04b7607,674071a0a6,70479167a0,64671b676,6761060b6,7671a0c6
9 10 05b67a67,65a070476,6050a4a67,61a40a7a1,0a6a791a0,6707a1a60,67670a606,6a0607b6,7b0607a6,670760b6
dataset=image_deserialize group=flipa image_width=small image_height=small
Half a rotation of Simons-ARC-RLE-Image
18 19 1g23c23a13,25m212,16313a2131b21a323,26a3b23a2313121a2,36a3a232323a21c2,36a2121a23b21b23,36b21232a32a1c3,26a2323e2a1212,26a232c3b21a3a2,2623a213121a3a1313,16a2a3c212312312,36a21b213a23a13a2,262c323a232121a2,23a23a23c231a321,2a3b1b2d1a213,3232312321a231a3a2,32a12a31d21c2,2b3a121d213a21,3l1c2
18 19 c2l13,1a231d212a1b32,c21d21a32a123,a2a313a21232132323,31a2d1b2b1a32,12a313c23a23a232,a212123a232c3262,a23a13a231b21a263,21321321c2a3a261,313a1a312131a23262,a2a31b2c323a262,212a1e2323a262,c3a12a32321b263,3b21b23a2121a263,c21a232323a2a363,a2121313a23b2a362,32a31b2131a231361,21m252,3a13c23g21
dataset=image_deserialize group=rotate_180 image_width=medium image_height=medium
SIMONS-HISTOGRAM, Exclude Histogram-A colors from Histogram-B
7:1384,1:1167,8:1143,9:1031,5:368,0:171,3:61 8:1555,2:1536,6:1264,4:979,9:956,5:739,7:327,3:239,1:219
2:1536,6:1264,4:979
dataset=histogram_two group=b_remove_a_colors histogram_size=e
SimonsArcImageScale scalex=up4 scaley=down3
4 18 4,,,,,,b40,,,4,,,a480,,,b42,,
16 6 4,,k4c0,4,g4c8c0,k4c2
dataset=scale group=scale_input image_width=small image_height=medium scalex=up4 scaley=down3
simons-cellular-automata, Given two images, recognize the transformation. serviettes_wrap,cave_nowrap,highlife_wrap,cave_wrap
14 16 23a2b3a2a32a3,b232a3a2c32,23a2c32a32a3,32d32b32a3,a2b32c32b3,e32b32b3,2a32a3232a32a3,232323232b323,c323b2d3,c32c32c3,b2a3232b3232,232j3,c32b32c32,e232a3b23,a2b32323a2b3,c2d3a2b3 14 16 3,3b2b3a2d3,3a2j3,32k3,3,,,f32e3,,3,32k3,3,,32a32h3,b2e3a2b3,32k3
serviettes_wrap=0,cave_nowrap=1,highlife_wrap=0,cave_wrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=medium image_height=medium
ccw rotate SIMONARCIMAGE
17 4 28e4h2,a28m2,b28l2,2
4 17 2,,,,,,,,,4b2,,,,4282,48a2,8b2,2
dataset=image_deserialize group=rotate_ccw image_width=medium image_height=small
SIMON-SOLVE-VERSION1, O5T, predict image
I0 15 3 b4a17h4,7c1a7c1a7a1,7a1b47c1a7a1 O0 3 3 4,7a1, I1 15 4 5d15c1a5a1,,d15h1, O1 3 4 5a1,,1, I2 20 2 d56m5,a56f56a56c565 O2 4 2 5,a565 I3 10 2 3, O3 2 2 3, I4T 10 4 a6a4e6,4,,a4a6e4 O4T None I5T 20 2 0, O5T None
4 2 0,
dataset=solve_symmetry group='extract_tile hstack(orig 180 orig flipx orig)' predict=image image_width=medium image_height=small task_pixels=a
simon-solve-version1 predict image for 'O2T'
I0 4 8 a989,9798,a969,,8069,7069,9a49,a904 O0 12 16 e9b8b9,,b9b7b9b8,,e9b6b9,,,,b8b0b6b9,,b7b0b6b9,,b9e4b9,,e9b0b4, I1 4 5 a1a0,a020,0120,0a60,0a10 O1 12 10 e1e0,,e0b2b0,,b0b1b2b0,,b0e6b0,,b0e1b0, I2T 6 6 0a1920,01a620,a67210,b0291,802b0,0a81a0 O2T None I3T 3 3 890,098,8a0 O3T None
18 12 b0e1b9b2b0,,b0b1e6b2b0,,e6b7b2b1b0,,h0b2b9b1,,b8b0b2h0,,b0e8b1e0,
dataset=solve_scale group=x3up_y2up predict=image image_width=medium image_height=medium task_pixels=a
simon-arc-image-mass max mass 1, connectivity leftright2
19 14 a0b4141408408141a4,4101c46a04041a4a1,a40a1406b0a184a1a4,9j74801a48,0940146a8010140b40,a49a461a804a048a081,1a49464180380a1a404,4048908180130a40a41,0a8069408a083408a40,a486049b0413b1414,1806b40408a4301b4,a1f6a04013c4,a4b01b40d63014,40a1480a81810a48b4
19 14 d0k1a0,c1c01a0c1c0,a01a0b1d0a1c0,1j0c1a01,f1a0e1b01,a01a0a1a0a1a0a1a0a1,1a0i1c0a1,l1a01a01,1a0e1a0d1a01,a0d1b0b1b0b1,c1b0c1a0b1b0,j0c1c0,d01b01d0c1,a1a0b1a0c1a01b0
dataset=mass group=max_mass image_width=medium image_height=medium connectivity=PixelConnectivity.LR2 max_mass=1
SIMONSOLVEVERSION1 'O5T' predict the image
I0 8 3 8a51a898,c839a8,d5b8 O0 8 3 6,6a9d6,6b9a696 I1 6 4 a52832,585b3,52a425,a40635 O1 6 4 6,c696,6, I2 7 4 4843b4,8763847,a43c4,a73c4 O2 7 4 d696,6,c6a96, I3 4 8 b07,,a070,,,0,, O3 4 8 69a6,,6,,,6a96,, I4T 8 6 d4696,e484,6c4948,c4b28,c28b4,4 O4T None I5T 6 7 5,c565,,c515,a7c5,5, O5T None
6 7 6c96,6a9b6,,,b6a96,6c96,
dataset=solve_erosion group=apply_erosion_lr2 predict=image image_width=small image_height=small task_pixels=a
SimonCellularAutomaton, Recognize the transformation between input and output. serviettes_wrap,cave_wrap,serviettes_nowrap
24 25 i717171h7,g7d1g7a17,i71d71f7,i7b17171c7a17,d7a1b7a1a7171f7,b7a1f717e171a7,e71b7a1a717a17171a7,b7b1f717a17a1c7,l7171g7,m71a7b1c7,l7a1h7,e7a1g7a17a1b7,o7171d7,o717b1b7,j7171c71d7,j7171i7,j71h71a7,i7a1i717,f7a1n7,7,b717d1m7,a71717171g7a1d7,a71717171n7,7,i717a1i7 24 25 7,k7a1i7,l7171g7,h71a7a1a7a1e7,c7a1c71b71b717b17,c7171d7171c71c7,j7a1j7,c7a1e7a1c7b1b7,c71g7171g7,n71a71d7,l7c1b71b7,n7d1c7,n7a1f7,q71d7,p7a1d7,i7a1k7,j71k7,i7a1k7,7,h71m7,b7c17a1m7,a7171r7,7,,k7a1i7
serviettes_wrap=0,cave_wrap=0,serviettes_nowrap=0
dataset=cellular_automaton group=recognize_transformation ca_step=1 image_width=large image_height=large
simon-solve-version1 predict image for 'O4T'
I0 2 2 02,12 O0 10 4 d0d2,,d1d2, I1 1 2 6, O1 5 4 6,,, I2 1 5 8,,,, O2 5 10 8,,,,,,,,, I3 3 8 1,121,128,178,1a8,983,873,175 O3 15 16 1,,d1d2d1,,d1d2d8,,d1d7d8,,d1i8,,d9d8d3,,d8d7d3,,d1d7d5, I4T 4 10 0,a052,,a057,a078,3785,7385,a087,,a080 O4T None I5T 3 4 070,,172,279 O5T None
20 20 0,,i0d5d2,,,,i0d5d7,,i0d7d8,,d3d7d8d5,,d7d3d8d5,,i0d8d7,,,,i0d8d0,
dataset=solve_scale group=x5up_y2up predict=image image_width=medium image_height=medium task_pixels=a
SIMON-SOLVE-VERSION1 predict image for 'O4T'
I0 6 3 1b2a5,51c5,d53 O0 6 3 5,c535,5 I1 4 5 a812,a212,2,1b2,2 O1 4 5 5,b53,5353,5b3,5 I2 5 7 9c1,a9b1,9a191,10191,b191,9,19191 O2 5 7 5,35353,a5353,a5b3,b535,,5 I3T 7 3 a6878a6,6a9a468,b63767 O3T None I4T 3 4 060,,,0a3 O4T None
3 4 5,3,3a5,5
dataset=solve_erosion group=apply_erosion_tb2 predict=image image_width=small image_height=small task_pixels=a
simons-arc-image-shape detect shape2x2 bit 4
10 1 a1e8a1
11 2 i01,1i0
dataset=shape group=shape2x2 image_width=small image_height=small
SIMONSOLVEV1, 'O3T', predict the image
I0 2 2 1,65 O0 2 4 1,65,,1 I1 2 4 0,,,92 O1 2 8 0,,,92,,0,, I2 4 2 03a0,a0a3 O2 4 4 03a0,a0a3,,03a0 I3T 2 4 28,29,82, O3T None
2 8 28,29,82,,,,29,28
dataset=solve_symmetry group='create_symmetry vstack(orig flipy)' predict=image image_width=small image_height=small task_pixels=a
simonsolveversion1, 'O2T', predict the image
I0 12 6 b8b9e8,,,h9b8,, O0 32 8 i8a9s8,,g8e9q8,,a8a9e8a9e8a9k8,,e9a8e9a8e9i8, I1 12 12 b9b8b9b8,,,e9e8,,,h9b8,,,b9h8,, O1 32 32 a9a8a9i8a9a8a9i8,,c9k8c9k8,,e9i8e9i8,,a9m8a9m8,,a9a8a9a8a9a8a9q8,,c9c8c9s8,,e9a8e9q8,,a9e8a9u8,,a9a8a9a8a9a8a9a8a9a8a9i8,,c9c8c9c8c9k8,,e9a8e9a8e9i8,,a9e8a9e8a9m8,,a9a8a9y8,,c9z88,,e9y8,,a9z8b8, I2T 9 6 b8e9,,,b8b9b8,, O2T None
18 8 g8c9a8c9,,g8a9c8a9a8,,g8c9e8,,g8a9g8,
dataset=solve_fractal group=pattern_to_fractal predict=image image_width=other image_height=other task_pixels=c
SimonArcImageMass identify places where max mass is 8, connectivity lr2
14 10 k313,j3032,,i30323,,h3030a3,,g3030b3,g30d3,f30e3
14 10 k0a1,j0b1,,i0c1,,h0d1,,1,,
dataset=mass group=max_mass image_width=medium image_height=small connectivity=PixelConnectivity.LR2 max_mass=8
simon-solve-v1 predict image for 'O4T'
I0 4 7 7,5b7,7297,72a7,a747,a757,7 O0 4 7 a757,9a72,b72,4b7,5b7,7, I1 7 3 a5a0b5,a1d8,a5180a5 O1 7 3 a8a1b8,c5180,c5a05 I2 3 4 828,528,542,5a8 O2 3 4 285,425,a85,2a8 I3T 4 1 a409 O3T None I4T 1 4 2,1,,3 O4T None
1 4 1,,3,2
dataset=solve_translate group=translate_xplus2yminus1 predict=image image_width=small image_height=small task_pixels=a
SIMONSOLVEVERSION1, O4T, predict image
I0 6 10 b67a6,6,b6746,626746,a62646,b6264,c624,b6a72,6,67c6 O0 6 10 1,12c1,1,,,,12c1,,1, I1 4 9 2,,,b21,,,20a2,2, O1 4 9 1,1a21,12a1,,,1,,, I2 8 3 0,c0a5a0,e0a5 O2 8 3 1,1a2d1,1 I3T 7 9 5,,,,5b3b5,c5691,a5b951,e51,5 O3T None I4T 6 10 5,,,d59,b5a95,5,,,, O4T None
6 10 1,1c21,1b2a1,12c1,,,1c21,,,1
dataset=solve_outline group=outline_all8 predict=image image_width=small image_height=small task_pixels=a

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

Version 56

Enabled all datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • 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 57

Regenerated all datasets with new random seeds.

Version 58

Disabled most datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • 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
  • dataset_solve_compress.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl - disabled

Version 59

Added new datasets.

Disabled most datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - disabled
  • dataset_dilation.jsonl - disabled
  • dataset_erotion.jsonl - disabled
  • 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
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl - added
  • dataset_solve_fractal.jsonl - added
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl - disabled

Version 60

Incremented random seed

Datasets:

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

Version 64

Added dataset.

Increased the number of rows in the jsonl file from 200k to 300k.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • 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_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_outline.jsonl - added
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl

Version 65

random seed.

Version 66

Disabled some datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl - disabled
  • dataset_image.jsonl - disabled
  • dataset_image_pair.jsonl - disabled
  • dataset_mass.jsonl
  • dataset_scale.jsonl - disabled
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl - disabled
  • dataset_solve_erosion.jsonl - disabled
  • dataset_solve_fractal.jsonl - disabled
  • dataset_solve_outline.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

Version 67

Disabled some datasets.

Datasets:

  • dataset_cellular_automaton.jsonl
  • dataset_dilation.jsonl
  • dataset_erotion.jsonl
  • dataset_histogram.jsonl
  • dataset_image.jsonl
  • dataset_image_pair.jsonl
  • dataset_mass.jsonl
  • dataset_scale.jsonl
  • dataset_shape.jsonl
  • dataset_solve_color.jsonl - enabled
  • dataset_solve_compress.jsonl - enabled
  • dataset_solve_erosion.jsonl - enabled
  • dataset_solve_fractal.jsonl - enabled
  • dataset_solve_outline.jsonl - enabled
  • dataset_solve_rotate.jsonl - enabled
  • dataset_solve_scale.jsonl - enabled
  • dataset_solve_symmetry.jsonl - enabled
  • dataset_solve_translate.jsonl - enabled
  • dataset_symmetry.jsonl

Version 68

Enabled all datasets.

Version 69

Different random seed.

Version 70

Different random seed.

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