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simon-arc-combine-v175

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Subtract these simon-histogram
1:1235,0:171 3:1321,7:996,9:884,8:698,4:693,2:679,0:258,5:194,6:98
1:1235
dataset=histogram_two group=subtract histogram_size=d
null
null
null
simonshistogram, exclude histogram-a colors from histogram-b
1:693,2:532,5:524,4:263,9:146 4:1372,7:1185,8:979,0:798,5:633,9:562,2:398,6:256
7:1185,8:979,0:798,6:256
dataset=histogram_two group=b_remove_a_colors histogram_size=d
null
null
null
Simon-Solve-Version1, 'O3T', predict the pixels
I0 1 6 4,1,3,,,4 O0 2 6 4,1,3,,,4 I1 3 1 2 O1 6 1 2 I2 1 7 6,,,,,5, O2 2 7 6,,,,,5, I3T 1 5 6,,0,, O3T None I4T 3 3 942,645,a24 O4T None
66 66 00 00 00
dataset=solve_scale group=scale_x2up_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[4],[1],[3],[3],[3],[4]],"output":[[4,4],[1,1],[3,3],[3,3],[3,3],[4,4]]},{"input":[[2,2,2]],"output":[[2,2,2,2,2,2]]},{"input":[[6],[6],[6],[6],[6],[5],[5]],"output":[[6,6],[6,6],[6,6],[6,6],[6,6],[5,5],[5,5]]}],"test":[{"input":[[6],[6],[0],[0],[0]],"output":[[6,6],[6,6],[0,0],[0,0],[0,0]]},{"input...
0
simon-solve-v1, O3T, predict pixels
I0 30 16 6326a2d62020b232603a103262,a0g23d6a2d163a0263,2a602360f2b12060323a03a0,3a260206b26a020636d260a206,03a63d26c20a23a23202063a2,30b203a06a30d23b0236a0206,a2b63206b23a6a0202a03c0202,6c23602a0a2a0232030a2a602626,20206b2a62023c206b26a2a030,30a36a03b23036023a2020a2b020,0a6a26a260b26203a23b0a260a26,606326020a320b20c23b...
155555155555555 555555555515555 555155515555555 155555555555835 555555555588531 555551158825535 555555881255535 555188552555535 558855525155535 185552255555535 555525551555355 551255555555355 552111555555315 525555555555355 255555515555315 565555551555355 556551115555355 555615555555355
dataset=solve_rotate group=flipy predict=rawpixels earlier_prediction=none image_width=large image_height=medium task_pixels=d
{"train":[{"input":[[6,3,2,6,2,2,6,6,6,6,6,2,0,2,0,2,2,2,3,2,6,0,3,1,1,0,3,2,6,2],[0,0,2,2,2,2,2,2,2,2,3,6,6,6,6,6,2,2,1,1,1,1,1,6,3,0,0,2,6,3],[2,6,6,0,2,3,6,0,2,2,2,2,2,2,2,1,1,1,2,0,6,0,3,2,3,0,0,3,0,0],[3,2,2,6,0,2,0,6,2,2,2,6,0,0,2,0,6,3,6,2,2,2,2,2,6,0,2,2,0,6],[0,3,6,6,3,2,2,2,2,2,6,2,2,2,2,0,2,2,3,2,2,3,2,0,2,0...
0
SIMONSOLVEVERSION1, 'O2T', predict the raw pixels
I0 10 16 4,,,4c7d4,47a47d4,,,,,4c7d4,4,a4f74,a47d474,a4f74,4, O0 10 16 4,,,4c7d4,,,,,,,4,a4f74,,,4, I1 16 10 4,,j4b7a4,j4747a4,b4f74747a4,b47d474747a4,,b4f74747a4,j4b7a4,4 O1 16 10 4,,j4b7a4,,b4f74b7a4,,,,j4b7a4,4 I2T 15 10 4,,,j4b74,b4e7a47474,b47c47a47474,,b4e7a4b74,4, O2T None I3T 11 16 b4e7a4,b47c47a4,b4e7a4,4,e4c7...
444444444444444 444444444444444 444444444444444 444444444447774 444777777447774 444777777447774 444777777447774 444777777447774 444444444444444 444444444444444
dataset=solve_rectangle group=rectangle fill_the_hollow_rectangles predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,7,7,7,7,4,4,4,4,4],[4,7,4,4,7,4,4,4,4,4],[4,7,4,4,7,4,4,4,4,4],[4,7,4,4,7,4,4,4,4,4],[4,7,4,4,7,4,4,4,4,4],[4,7,4,4,7,4,4,4,4,4],[4,7,7,7,7,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,7,7,7,7,7,7,7,4],[4,4,7,4,4,4,4,4,7,4],[4,4,7,7,7,7,7...
0
simonsolveversion1 'O3T' predict the raw pixels
I0 7 11 1,,3e1,1,,,,,,, O0 7 11 b7c8,,,,,8,,,,, I1 5 6 1,,,,12b1,1 O1 5 6 8,,c78,,, I2 14 7 1,h10c1,1,9l1,1,h18c1,1 O2 14 7 f8d7a8,b7c8d7a8,,,,,f8d7a8 I3T 18 17 1,,,,,,,,p16,1,,,,,c15l1,l19c1,p18 O3T None I4T 9 15 1,,,,,e10a1,a13e1,1,,,,,,, O4T None
888888888888888888 888888888888888888 888888888888888888 888888888888888888 888888888888888888 888888888888888888 888888888888888777 888888888888888777 888888888888888777 888888888888888777 888888888888888777 888888888888888888 887777788888888888 887777788887777788 887777788887777777 887777788887777777 8877777888877777...
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[3,1,1,1,1,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1],[1,1,1,1,1,1,1]],"output":[[7,7,7,8,8,8,8],[7,7,7,8,8,8,8],[7,7,7,8,8,8,8],[7,7,7,8,8,8,8],[7,7,7,8,8,8,8],[8,8,8,8,8,8,8],[8,8,8,8,8,8,8],[...
0
Simons-Histogram, unique color count
5:1215,0:555,3:550,9:335 7:1420,5:109
5
dataset=histogram_two group=number_of_unique_colors histogram_size=d
null
null
null
simonsolveversion1 predict pixels for O4T
I0 15 7 a09e0909090,0b937909a0a909,a09030b7c090,090949b0909a09,a09409a0a9c09,b9409h0,a94b90b9090a9 O0 7 15 090a909,909b09,09d0,a909a09,0,9a0a909,0970909,a07b09,097c0,070c9,0a34a09,0909a49,b90a94,09090a9,d0a9 I1 7 26 1a830a8,31b808,13c80,e83,8090864,089a648,1893148,38934a8,8193418,1394830,0a343a8,a348018,85381a8,8531308...
222222222 222222222 223222222 223222222 223222222 226322222 226322222 226322222 226322222 226322222 226232222 226232222 226232222 229232222 229223222 222923222 222923222 222923222 222923222 222922322 222292322 222292122 222291222 222222222 222222222 222222222 222222222
dataset=solve_rotate group=rotate_ccw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
{"train":[{"input":[[0,0,9,0,0,0,0,0,0,9,0,9,0,9,0],[0,9,9,9,3,7,9,0,9,0,0,9,9,0,9],[0,0,9,0,3,0,7,7,7,0,0,0,0,9,0],[0,9,0,9,4,9,0,0,0,9,0,9,0,0,9],[0,0,9,4,0,9,0,0,9,9,0,0,0,0,9],[9,9,9,4,0,9,0,0,0,0,0,0,0,0,0],[9,9,4,9,9,9,0,9,9,9,0,9,0,9,9]],"output":[[0,9,0,9,9,0,9],[9,0,9,0,0,0,9],[0,9,0,0,0,0,0],[9,9,0,9,0,0,9],[...
1
SIMONS-HISTOGRAM, Remove Histogram-A colors from Histogram-B
8:1489,4:1008,5:852,1:691,6:667,3:648,7:355,0:323,2:244 7:1430,9:813,4:413,5:174
9:813
dataset=histogram_two group=b_remove_a_colors histogram_size=d
null
null
null
SIMON-SOLVE-VERSION1, O4T, predict raw pixels
I0 6 5 b1010,a0c1,161010,b6b1,a1a6a1 O0 6 5 10c1,0a10a1,16b10,b60a1,a1a610 I1 6 7 1a6b1,1a60a1,a10616,061016,0a61a6,616a10,a1b60 O1 6 7 0a60a1,0a6b1,b1616,160a16,1a61a6,616010,a1b60 I2 6 5 6c10,b10a1,b0a10,a0c1,16b16 O2 6 5 60c1,10b10,010b1,0a1010,16b16 I3 7 7 1c616,c6101,0a60a16,b61a01,0a60101,60a6010,6106106 O3 7 7 1...
6101100 6116111 0010000 1001110
dataset=solve_reverse group=reverse_chunks_topbottom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[1,1,1,0,1,0],[0,0,1,1,1,1],[1,6,1,0,1,0],[6,6,6,1,1,1],[1,1,6,6,1,1]],"output":[[1,0,1,1,1,1],[0,1,1,0,1,1],[1,6,1,1,1,0],[6,6,6,0,1,1],[1,1,6,6,1,0]]},{"input":[[1,6,6,1,1,1],[1,6,6,0,1,1],[1,1,0,6,1,6],[0,6,1,0,1,6],[0,6,6,1,6,6],[6,1,6,1,1,0],[1,1,6,6,6,0]],"output":[[0,6,6,0,1,1],[0,6,6,1,1,1],...
0
simon-solve-version1, O4T, predict raw pixels
I0 7 5 a6861a6,1686168,1686186,8a61b6,8681a81 O0 7 5 a6861a6,1686168,1686816,8a61b6,861a818 I1 7 6 a168181,616c1,1861818,a16c8,a1a68a1,81818a1 O1 7 6 a161818,616c1,8168181,a16c8,a1a6a18,a181818 I2 7 4 8a61618,c8b1,1b61a6,68b1a6 O2 7 4 8a61681,b1c8,1b61a6,6b18a6 I3 7 7 a6c16,b68186,a1681a6,18a61a8,8681b6,86b168,a861a86 ...
1681 6666 1818 1616 1616
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[6,6,8,6,1,6,6],[1,6,8,6,1,6,8],[1,6,8,6,1,8,6],[8,6,6,1,6,6,6],[8,6,8,1,8,8,1]],"output":[[6,6,8,6,1,6,6],[1,6,8,6,1,6,8],[1,6,8,6,8,1,6],[8,6,6,1,6,6,6],[8,6,1,8,8,1,8]]},{"input":[[1,1,6,8,1,8,1],[6,1,6,1,1,1,1],[1,8,6,1,8,1,8],[1,1,6,8,8,8,8],[1,1,6,6,8,1,1],[8,1,8,1,8,1,1]],"output":[[1,1,6,1,8...
0
simon-solve-version1, O3T, predict raw pixels
I0 7 20 9,,,,,,,,,,,,,,a90c9,9,,,, O0 7 20 8,,,,,,,,,,e85,d858,c85a8,b85b8,5,85d8,5e8,8,, I1 13 8 b93h9,9,j939,9,,,k94,9 O1 13 8 5,a85h85,5,5h85a8,h85b8,g85c8,5,e85c858 I2T 20 14 9,,,,,94q9,c92n9,9,,,g94j9,9,,j96g9 O2T None I3T 18 12 a91n9,9,,n90a9,k98d9,9,,,b94m9,9,, O3T None
555555555555555555 858888888858888585 588888888588885858 555555555555555555 555555555555555555 888888588885858888 888885888858588888 888858888585888888 555555555555555555 885888858588888888 858888585888888888 588885858888888888
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,0,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9,9],[9,9,9,9,9,9...
1
Simon-Solve-V1, 'O3T', predict the pixels
I0 7 8 3,,,e32,3,,, O0 7 8 b36a36,c3636,d3a6,6,d3a6,c3636,b36a36,a36b36 I1 16 15 a38l3,3,,,,,,,,,,,9e34g3,3, O1 16 15 6,c6b36b36c3,63636a36a36d3,636a363636e3,636b3b6e36,636c36e363,b6b3b6c36a3,636a363636a36b3,63b6a36a3a6c3,,636a363636a36b3,b6b3b6c36a3,6,b6b3b6e36,636a363636e3 I2T 7 11 3,,,,b37b3,3,,,,, O2T None I3T 5 16...
63333 63333 63333 63333 63336 63363 63633 66333 66666 66333 63633 63363 63336 63333 63333 63333
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
{"train":[{"input":[[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,2],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3],[3,3,3,3,3,3,3]],"output":[[3,3,3,6,3,3,6],[3,3,3,3,6,3,6],[3,3,3,3,3,6,6],[6,6,6,6,6,6,6],[3,3,3,3,3,6,6],[3,3,3,3,6,3,6],[3,3,3,6,3,3,6],[3,3,6,3,3,3,6]]},{"input":[[3,3,8,3,3,3,3,3,3,3,...
1
Simon-Solve-Version1 predict pixels for 'O3T'
I0 3 1 a25 O0 6 2 c2a5, I1 1 1 1 O1 2 2 1, I2 1 1 6 O2 2 2 6, I3T 1 2 9, O3T None I4T 2 3 51,61,46 O4T None
99 99 99 99
dataset=solve_scale group=scale_x2up_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[2,2,5]],"output":[[2,2,2,2,5,5],[2,2,2,2,5,5]]},{"input":[[1]],"output":[[1,1],[1,1]]},{"input":[[6]],"output":[[6,6],[6,6]]}],"test":[{"input":[[9],[9]],"output":[[9,9],[9,9],[9,9],[9,9]]},{"input":[[5,1],[6,1],[4,6]],"output":[[5,5,1,1],[5,5,1,1],[6,6,1,1],[6,6,1,1],[4,4,6,6],[4,4,6,6]]}]}
0
simonsolvev1 predict raw pixels for O3T
I0 12 14 656868c5a6,765865b6565,86a5b6a56a5,7a8e58a5,754a85656b5,7546a8a56565,7654a6a85685,c54b58565,658654e5,6a5a6465b68,65a65648a5a6,a856b58a565,5a658a56c5,a56a56e5 O0 14 12 a58b65c7876,568c56a58a65,a65658a5a48a56,a5c65468a5a8,58a56546a85b6,6a56a4568a5658,b546a58565a65,56a8b58c565,c56585a6a565,c56a56a586a5,a5b65686b5...
444822447744 444484222444 444487414404 444448140044 444441004444 444110444444 441004444444 410444444444 144444444444
dataset=solve_rotate group=rotate_cw predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
{"train":[{"input":[[6,5,6,8,6,8,5,5,5,5,6,6],[7,6,5,8,6,5,6,6,6,5,6,5],[8,6,5,5,6,6,6,5,5,6,5,5],[7,8,8,5,5,5,5,5,5,8,5,5],[7,5,4,8,8,5,6,5,6,5,5,5],[7,5,4,6,8,8,5,5,6,5,6,5],[7,6,5,4,6,6,8,8,5,6,8,5],[5,5,5,5,4,5,5,5,8,5,6,5],[6,5,8,6,5,4,5,5,5,5,5,5],[6,5,5,6,6,4,6,5,6,6,6,8],[6,5,6,6,5,6,4,8,5,5,6,6],[8,8,5,6,5,5,5...
1
SIMON-SOLVE-VERSION1 predict pixels for O4T
I0 11 9 d515b05,50f505,51a050d5,1b505150a5,f5a0a5,c51a5b05,0b5a0501a5,e5a2505,a5a05a052a5 O0 9 11 b51a50a5,501e5,a50d50,,b50510a5,150b5050,b51b520,0b5b025,0a5b0152,a0b50505,5 I1 9 18 8,,,f858,e8578,e87a8,,,d87a86,,d87868,c87a868,,d85618,e8581,g81,,8 O1 18 9 8,,,,j8a7d8,g8b7a85c8,c85b7d865b8,b857d8b61c8,g8a6c8b18 I2 18 ...
7559
dataset=solve_rotate group=flipa predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
{"train":[{"input":[[5,5,5,5,5,1,5,0,0,0,5],[5,0,5,5,5,5,5,5,5,0,5],[5,1,0,0,5,0,5,5,5,5,5],[1,5,5,5,0,5,1,5,0,5,5],[5,5,5,5,5,5,5,0,0,5,5],[5,5,5,5,1,5,5,0,0,0,5],[0,5,5,5,0,0,5,0,1,5,5],[5,5,5,5,5,5,2,2,5,0,5],[5,5,0,0,5,0,0,5,2,5,5]],"output":[[5,5,5,1,5,5,0,5,5],[5,0,1,5,5,5,5,5,5],[5,5,0,5,5,5,5,5,0],[5,5,0,5,5,5,...
1
SIMONSOLVEVERSION1 predict raw pixels for 'O3T'
I0 16 20 7,i73d7,7,,,,,,,,f73g7,7,,,,,,,,d72i7 O0 16 20 j14c1,i14d1,h14d14,g14d141,f14d14a1,e14d14b1,d14d14c1,c14d14d1,b14d14e1,a14d14e14,14d14e141,4d14e14a1,d14e14b1,c14e14c1,b14e14d1,a14e14e1,14e14f1,4e14g1,e14h1,d14i1 I1 16 9 7,,8n7,7,m747,7,c75j7,7, O1 16 9 a14f14d1,14f14e1,4f14f1,f14f14,e14f141,d14f14a1,c14f14b1,b...
11111 11111 11111 11114 11141 11411 14111 41111 11111 11111 11111 11111 11111 11111 11111 11111 11111 11111 11111
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,3,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7...
0
simon-solve-v1 predict raw pixels for 'O2T'
I0 13 8 e6d0a6,b0b60b60a6,060b6d0a6,060i6,060e6b06,060e60606,b0e6b06,6 O0 13 8 c060d606,b6060d606,,b606g0,b60c60b60,,,c0c6d0 I1 8 14 6,6e06,60c606,6e06,6,b0d6,060d6,,,,b0d6,6,, O1 8 14 0,0e60,,,0,b60c6,,,,,,c0c6,6, I2T 14 8 d6e0b6,6b060c60b6,60606e0b6,6060i6,6060d6b0a6,6b0d6060a6,h6b0a6,6 O2T None
00000666666066 06660666666066 06660666666066 06660000000006 06660666066606 06660666066606 00000666066606 66666666000006
dataset=solve_rectangle group=rectangle mask_outside_the_hollow_rectangles predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
{"train":[{"input":[[6,6,6,6,6,6,0,0,0,0,0,6,6],[0,0,0,6,6,6,0,6,6,6,0,6,6],[0,6,0,6,6,6,0,0,0,0,0,6,6],[0,6,0,6,6,6,6,6,6,6,6,6,6],[0,6,0,6,6,6,6,6,6,0,0,0,6],[0,6,0,6,6,6,6,6,6,0,6,0,6],[0,0,0,6,6,6,6,6,6,0,0,0,6],[6,6,6,6,6,6,6,6,6,6,6,6,6]],"output":[[0,0,0,0,6,0,6,6,6,6,6,0,6],[6,6,6,0,6,0,6,6,6,6,6,0,6],[6,6,6,0,...
0
simonsolvev1 predict pixels for 'O3T'
I0 8 8 7,,,d74a7,7,,, O0 8 8 d36a3,d3636,d3a63,6,c3a6a3,b3636a3,a36a36a3,36b36a3 I1 8 18 7,,d74a7,7,,,,,,,,,,,,,, O1 8 18 d3636,d3a63,6,c3a6a3,b3636a3,a36a36a3,36b36a3,6c36a3,d36a3,,,,,,,,, I2 16 5 7,e79h7,7,76m7,a75l7 O2 16 5 3a6363a6g3,6,3a63b6h3,6, I3T 18 20 7,,e79j7,7,,,,o727,7,,,,,,,,,,b76g73d7,7 O3T None I4T 8 14...
333633636333633363 333633663333633363 666666666666666666 333636633333633363 333663633333633366 333633633333633363 336633633333633666 666666666666666666 633633633333663663 333633633333636363 333633633336663363 333633633363633363 333633633636633363 333633636363633366 333633663633633363 333633636333633663 3336366633336363...
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7],[7,7,7,7,7,4,7,7],[7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7]],"output":[[3,3,3,3,3,6,3,3],[3,3,3,3,3,6,3,6],[3,3,3,3,3,6,6,3],[6,6,6,6,6,6,6,6],[3,3,3,3,6,6,3,3],[3,3,3,6,3,6,3,3],[3,3,6,3,3,6,3,3],[3,6,3,3,3,6,3,3]]}...
0
SIMON-SOLVE-VERSION1, O3T, predict raw pixels
I0 16 8 9,,,i9b0b9,9f0a9090b9,90d90a9b0b9,9f0g9,9 O0 16 8 9,,,i9b0b9,9f0a9b0b9,,9f0g9,9 I1 13 12 9,a9c0f9,a90a90f9,a9c0f9,9,b9d0d9,b90b90d9,,,b9d0d9,9, O1 13 12 9,a9c0f9,,,9,b9d0d9,,,,,9, I2 16 12 9,,,a9f0f9,a90d90f9,a90d909b0b9,a90d909090b9,a9f09090b9,i9090b9,,i9b0b9,9 O2 16 12 9,,,a9f0f9,,a9f09b0b9,,,i9b0b9,,,9 I3T 1...
0000099999999 0000099999999 0000099999999 0000099999999 9999999999999 0000900000999 0000900000999 0000900000999 9999900000999 9999900000999 9999900000999 9999900000999 9999999999999 9999999999999 9999999999999 9999999999999
dataset=solve_rectangle group=rectangle fill_the_hollow_rectangles predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,0,0,0,9,9,9],[9,0,0,0,0,0,0,0,9,9,0,9,0,9,9,9],[9,0,9,9,9,9,9,0,9,9,0,0,0,9,9,9],[9,0,0,0,0,0,0,0,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9,9,9,9]],"output":[[9,9,9,9,9,9,9,9,...
0
simonsolveversion1 predict pixels for O3T
I0 7 4 236a363,2326263,36c36,632a636 O0 7 4 236a363,2362623,36c36,63a6236 I1 7 4 2b63a2,2a62b6,b6a3a6,a6a2a32 O1 7 4 b623a2,b62a62,b6a3a6,a2a6a32 I2 6 7 2d3,6a3623,3263a2,32b32,363a62,2d3,6b3a6 O2 6 7 2d3,6a3263,3623a2,32b32,3632a6,2d3,6b3a6 I3T 7 7 c3a63,6363263,3b62a3,b236a3,262b63,2b3a63,36232a3 O3T None
3333663 6363623 3266633 2223633 6662623 2333663 3263233
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[2,3,6,3,3,6,3],[2,3,2,6,2,6,3],[3,6,3,3,3,3,6],[6,3,2,6,6,3,6]],"output":[[2,3,6,3,3,6,3],[2,3,6,2,6,2,3],[3,6,3,3,3,3,6],[6,3,6,6,2,3,6]]},{"input":[[2,6,6,6,3,2,2],[2,6,6,2,6,6,6],[6,6,6,3,3,6,6],[6,6,2,2,3,3,2]],"output":[[6,6,6,2,3,2,2],[6,6,6,2,6,6,2],[6,6,6,3,3,6,6],[2,2,6,6,3,3,2]]},{"input"...
0
Simon-Solve-V1, O4T, predict pixels
I0 6 7 b9b3,3a19a3,913a13,13b13,3c93,9b393,d31 O0 6 7 9a1b3,31a9a3,193193,939193,391913,9b313,d31 I1 7 6 3,c3193,c3913,b39a31,39a3913,c3193 O1 7 6 3,c3913,c3193,b39a31,39a3193,c3913 I2 4 4 1919,,a1a9,3193 O2 4 4 a1a9,,1919,3913 I3 6 7 b39a3,b3a13,c3a9,3,,919393,c313 O3 6 7 b31a3,b3a93,c319,3,,919313,c393 I4T 7 4 a1a391...
9933919 9133933 1133311 1333111
dataset=solve_reverse group=reverse_chunks_topbottom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[9,9,9,3,3,3],[3,1,1,9,3,3],[9,1,3,1,1,3],[1,3,1,1,1,3],[3,9,9,9,9,3],[9,3,3,3,9,3],[3,3,3,3,3,1]],"output":[[9,1,1,3,3,3],[3,1,9,9,3,3],[1,9,3,1,9,3],[9,3,9,1,9,3],[3,9,1,9,1,3],[9,3,3,3,1,3],[3,3,3,3,3,1]]},{"input":[[3,3,3,3,3,3,3],[3,3,3,3,1,9,3],[3,3,3,3,9,1,3],[3,3,3,9,3,3,1],[3,9,3,3,9,1,3],[...
0
Simon-Solve-Version1 'O5T' predict the raw pixels
I0 14 8 1,,,c14h1,1,,,h16a161 O0 14 8 2a52a52525a252,a2b525a25a252,b2b52525a252,c2a5a2a5a2a5,b2c5a25a252,a25252a52c52,25a25a2f5,5b25b2a5a252 I1 11 10 1,,,,,,c10e1,1,f15b1,1 O1 11 10 c25a25a25,5b25a25252,a5a25a2a5a2,2a525a25b2,a2b52a5b2,b2b525a25,c2a525252,b2e5a2,a25252a5b2,25a252b5a2 I2 9 5 c14c1,e10a1,1,, O2 9 5 c2c52...
25252225522225555 22552225522252552 22252225522525552 22255225525255525 22252525552552522 22252255525522522 22252225555222522 22252255552222522 22252525552222522 52255255525222525 55252555522522552 25555525522252522 25555225522225522 52555225522252522 25555525522522552 55252555525222525 52252255552222522 22252225522222...
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,4,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,1,1,1,1,1],[1,1,1,1,1,1,1,1,1,6,1,1,6,1]],"output":[[2,5,5,2,5,5,2,5,2,5,2,2,5,2],[2,2,5,5,5,2,5,2,2,...
1
simonsolvev1 predict pixels for 'O4T'
I0 7 6 8a92a89,2829a89,8a92a89,28a9b8,8c292,a8a9898 O0 7 6 82a9a89,2892a89,82a9a89,28a9b8,829c2,a8a9898 I1 7 7 8a92b8,d8a9,a929289,c8989,2a92898,8,92d8 O1 7 7 82a9b8,d8a9,292a989,c8989,2a92898,8,29d8 I2 5 7 b929,b9a2,a9292,a92a9,982a9,a9a29,a29a2 O2 5 7 92b9,a2b9,292a9,a92a9,98a92,9a2a9,a29a2 I3 7 6 a829898,9282828,898...
2988 9988 8298 8888 8888 8928 8998
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[8,9,9,2,8,8,9],[2,8,2,9,8,8,9],[8,9,9,2,8,8,9],[2,8,9,9,8,8,8],[8,2,2,2,2,9,2],[8,8,9,9,8,9,8]],"output":[[8,2,9,9,8,8,9],[2,8,9,2,8,8,9],[8,2,9,9,8,8,9],[2,8,9,9,8,8,8],[8,2,9,2,2,2,2],[8,8,9,9,8,9,8]]},{"input":[[8,9,9,2,8,8,8],[8,8,8,8,8,9,9],[9,9,2,9,2,8,9],[8,8,8,8,9,8,9],[2,9,9,2,8,9,8],[8,8,...
0
SIMON-ARC-HISTOGRAM sum
3:1152,0:1101 6:1384,2:770,5:761,3:575,0:445,4:140
3:1727,0:1546,6:1384,2:770,5:761,4:140
dataset=histogram_two group=add histogram_size=d
null
null
null
simon-solve-version1, O2T, predict pixels
I0 2 2 7,0 O0 1 6 7,,,0,, I1 4 1 a8a6 O1 2 3 86,, I2T 2 2 9,8 O2T None I3T 6 2 a1a8a1,a1c8 O3T None
9 9 9 8 8 8
dataset=solve_scale group=scale_x2down_y3up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[7,7],[0,0]],"output":[[7],[7],[7],[0],[0],[0]]},{"input":[[8,8,6,6]],"output":[[8,6],[8,6],[8,6]]}],"test":[{"input":[[9,9],[8,8]],"output":[[9],[9],[9],[8],[8],[8]]},{"input":[[1,1,8,8,1,1],[1,1,8,8,8,8]],"output":[[1,8,1],[1,8,1],[1,8,1],[1,8,8],[1,8,8],[1,8,8]]}]}
0
SIMONSOLVEV1, 'O3T', predict the raw pixels
I0 20 19 3,,,d3932k3,3,,,,,i39h3,3,,,,,,,m36d3,3 O0 20 19 8a383b8383g83,a8a3838383g838,b8a38383g83a8,3,83a8b383e83c8,a8a38b383c83d8,a8b3a8a383a83e8,838a3b8a38a3f8,383a83b8c3f8,3,3e83838a383d8,g83b8a383c8,f8383b8a383a83,e83b83b8a38a38,d83d83b8c38,c83f83b8a383,b83h83838a38,3,83j8383b83 I1 20 16 3,,,,,,,,,,,,,n34c3,b31f30...
83838888383883888 33333333333333333 83888388383338888 88388833883383888 88838833838838388 33333333333333333 33333333333333333 88838838883888838 88388383888388383 83883888388833888 38838888838833888 88388888883388388
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d
{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,9,3,2,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3...
0
simonsolvev1 predict raw pixels for O5T
I0 1 7 8,,,0,,, O0 3 7 8,,,0,,, I1 2 1 07 O1 6 1 b0b7 I2 1 1 2 O2 3 1 2 I3 1 4 8,5,8,6 O3 3 4 8,5,8,6 I4T 2 5 24,,2,4,02 O4T None I5T 2 5 8,,,, O5T None
888888 888888 888888 888888 888888
dataset=solve_scale group=scale_x3up_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[8],[8],[8],[0],[0],[0],[0]],"output":[[8,8,8],[8,8,8],[8,8,8],[0,0,0],[0,0,0],[0,0,0],[0,0,0]]},{"input":[[0,7]],"output":[[0,0,0,7,7,7]]},{"input":[[2]],"output":[[2,2,2]]},{"input":[[8],[5],[8],[6]],"output":[[8,8,8],[5,5,5],[8,8,8],[6,6,6]]}],"test":[{"input":[[2,4],[2,4],[2,2],[4,4],[0,2]],"out...
1
number of unique colors in SIMONARCHISTOGRAM
7:1554,2:1332,8:1288,5:1253,3:821,0:597,1:575,4:110 4:1551,9:1440,3:1248,7:764,5:673,8:504,0:503,2:284,6:113
10
dataset=histogram_two group=number_of_unique_colors histogram_size=e
null
null
null
simonsolvev1 predict raw pixels for O2T
I0 2 2 1, O0 2 1 1 I1 2 4 29,,72, O1 2 2 29,72 I2T 4 6 7050,,0a75,,a537, O2T None
7050 0775 5537
dataset=solve_scale group=scale_x1_y2down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[1,1],[1,1]],"output":[[1,1]]},{"input":[[2,9],[2,9],[7,2],[7,2]],"output":[[2,9],[7,2]]}],"test":[{"input":[[7,0,5,0],[7,0,5,0],[0,7,7,5],[0,7,7,5],[5,5,3,7],[5,5,3,7]],"output":[[7,0,5,0],[0,7,7,5],[5,5,3,7]]}]}
0
Simon-Solve-V1 predict raw pixels for O2T
I0 14 13 4,e4e9a4,e49c49a4,,,d94e9a4,9b49h4,d9b4d94,g49b494,,,g4d94,4 O0 14 13 4,,f4c9b4,,,4,4b9i4,4,h4b9a4,,,4, I1 13 13 4,,,,4d9f4,49b49f4,,,,49b494c9a4,4d949a49a4,f4c9a4,4 O1 13 13 4,,,,,a4b9g4,,,,,g4a9b4,4, I2T 14 16 4,c9i4,9a49i4,9a494e9b4,9a4949c49b4,,c949c49b4,d49c49b4,,d4e9b4,4,d4b9e4,d4949e4,d4b9e4,4, O2T None
44444444444444 44444444444444 49944444444444 49944444444444 49944499994444 49944499994444 44444499994444 44444499994444 44444499994444 44444444444444 44444444444444 44444444444444 44444494444444 44444444444444 44444444444444 44444444444444
dataset=solve_rectangle group=rectangle mask_of_the_hollow_areas predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,9,9,9,9,9,9,4,4],[4,4,4,4,4,4,9,4,4,4,4,9,4,4],[4,4,4,4,4,4,9,4,4,4,4,9,4,4],[4,4,4,4,4,4,9,4,4,4,4,9,4,4],[9,9,9,9,9,4,9,9,9,9,9,9,4,4],[9,4,4,4,9,4,4,4,4,4,4,4,4,4],[9,9,9,9,9,4,4,4,9,9,9,9,9,4],[4,4,4,4,4,4,4,4,9,4,4,4,9,4],[4,4,4,4,4,4,4,4,9,4,4,4,9,4],...
0
simonhistogram, perform min
1:549,5:108 9:1347,7:1143,6:785,4:729,3:671,0:386,2:312,8:241,1:29
1:29
dataset=histogram_two group=min histogram_size=d
null
null
null
SIMON-ARC-HISTOGRAM, unique color count
6:1522,8:1026,2:664,7:645,3:612 0:1036,4:71
7
dataset=histogram_two group=number_of_unique_colors histogram_size=d
null
null
null
Simon-Solve-V1 predict raw pixels for 'O3T'
I0 4 2 a767,5270 O0 4 6 a767,,,5270,, I1 5 2 79a27,27932 O1 5 6 79a27,,,27932,, I2T 3 2 a02,230 O2T None I3T 4 2 a1a2,0b3 O3T None
1122 1122 1122 0333 0333 0333
dataset=solve_scale group=scale_x1_y3up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[7,7,6,7],[5,2,7,0]],"output":[[7,7,6,7],[7,7,6,7],[7,7,6,7],[5,2,7,0],[5,2,7,0],[5,2,7,0]]},{"input":[[7,9,2,2,7],[2,7,9,3,2]],"output":[[7,9,2,2,7],[7,9,2,2,7],[7,9,2,2,7],[2,7,9,3,2],[2,7,9,3,2],[2,7,9,3,2]]}],"test":[{"input":[[0,0,2],[2,3,0]],"output":[[0,0,2],[0,0,2],[0,0,2],[2,3,0],[2,3,0],[2...
1
SIMON-SOLVE-V1, O4T, predict raw pixels
I0 4 6 b13,1831,81a8,8a18,8138,1a83 O0 4 6 a131,1813,81a8,8138,8a18,1a83 I1 6 4 13b13,131313,b1313,b3a81 O1 6 4 c3a1,b1313,13b13,131a83 I2 5 7 13131,81838,831a8,8c1,31a81,831a8,818a1 O2 5 7 b131,83838,8a1a8,8c1,a3a81,8a1a8,838a1 I3 4 6 1383,3181,1b8,3181,1,13a1 O3 4 6 a181,1383,3b8,1381,3b1,1 I4T 5 4 83818,b1a8,3b81,a8...
81818 33188 18883 88111
dataset=solve_reverse group=reverse_chunks_topbottom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[1,1,1,3],[1,8,3,1],[8,1,8,8],[8,1,1,8],[8,1,3,8],[1,8,8,3]],"output":[[1,1,3,1],[1,8,1,3],[8,1,8,8],[8,1,3,8],[8,1,1,8],[1,8,8,3]]},{"input":[[1,3,1,1,1,3],[1,3,1,3,1,3],[1,1,1,3,1,3],[3,3,3,8,8,1]],"output":[[3,3,3,3,1,1],[1,1,1,3,1,3],[1,3,1,1,1,3],[1,3,1,8,8,3]]},{"input":[[1,3,1,3,1],[8,1,8,3,8...
0
Simon-Solve-Version1 predict pixels for O4T
I0 6 6 b73a5,a7a3a5,3a9a39,a93b9,535b9,a5a3a9 O0 2 3 75,9,59 I1 3 2 7,737 O1 1 1 7 I2 3 2 a13,1 O2 1 1 1 I3 3 2 9, O3 1 1 9 I4T 3 4 1,3a1,8, O4T None
1 8
dataset=solve_scale group=scale_x3down_y2down_noise3 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[7,7,7,3,5,5],[7,7,3,3,5,5],[3,9,9,3,3,9],[9,9,3,9,9,9],[5,3,5,9,9,9],[5,5,3,3,9,9]],"output":[[7,5],[9,9],[5,9]]},{"input":[[7,7,7],[7,3,7]],"output":[[7]]},{"input":[[1,1,3],[1,1,1]],"output":[[1]]},{"input":[[9,9,9],[9,9,9]],"output":[[9]]}],"test":[{"input":[[1,1,1],[3,1,1],[8,8,8],[8,8,8]],"out...
0
simonsolveversion1 predict pixels for 'O3T'
I0 6 5 c989,898498,b98a4,898498,c949 O0 6 5 c989,894898,b9a48,894898,c949 I1 5 5 848a9,48b9,a94a8,a8a49,8a989 O1 5 5 848a9,84b9,a9a84,a4a89,8a989 I2 6 4 a89898,848a48,c848,4b8a4 O2 6 4 a89898,8a4848,84c8,a4b84 I3T 7 5 a8b948,a9a4b9,a984a98,8a98948,98d9 O3T None
8899984 9944999 9948998 8998984 9899999
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[9,9,9,9,8,9],[8,9,8,4,9,8],[9,9,9,8,4,4],[8,9,8,4,9,8],[9,9,9,9,4,9]],"output":[[9,9,9,9,8,9],[8,9,4,8,9,8],[9,9,9,4,4,8],[8,9,4,8,9,8],[9,9,9,9,4,9]]},{"input":[[8,4,8,9,9],[4,8,9,9,9],[9,9,4,8,8],[8,8,4,4,9],[8,9,9,8,9]],"output":[[8,4,8,9,9],[8,4,9,9,9],[9,9,8,8,4],[4,4,8,8,9],[8,9,9,8,9]]},{"in...
0
Sum these simonhistogram
1:1331,4:722,5:471,2:86 2:1561,9:1263,0:371,3:54,1:40
2:1647,1:1371,9:1263,4:722,5:471,0:371,3:54
dataset=histogram_two group=add histogram_size=d
null
null
null
SIMON-SOLVE-V1 'O5T' predict the raw pixels
I0 6 5 c0a8,b0a58,85a858,a8a505,5c05 O0 6 5 c0a8,b08a5,85a858,a5a805,5c05 I1 7 4 a8b050,8080a80,85b050,a8c50 O1 7 4 a8b050,8080a80,58b050,c5a80 I2 7 5 5a8b58,b858a5,a585a05,a5a8b5,a58a585 O2 7 5 8b5a85,a585b8,58a5a05,b5a8a5,58a58a5 I3 7 7 a5858a0,5,8a5b85,a80a8a5,8a0b85,a58a5a8,50a85a0 O3 7 7 858a5a0,5,5b8a58,a80a5a8,8...
0000 8508 8805 5008 5800 5880
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[0,0,0,0,8,8],[0,0,0,5,5,8],[8,5,8,8,5,8],[8,8,5,5,0,5],[5,0,0,0,0,5]],"output":[[0,0,0,0,8,8],[0,0,0,8,5,5],[8,5,8,8,5,8],[5,5,8,8,0,5],[5,0,0,0,0,5]]},{"input":[[8,8,0,0,0,5,0],[8,0,8,0,8,8,0],[8,5,0,0,0,5,0],[8,8,5,5,5,5,0]],"output":[[8,8,0,0,0,5,0],[8,0,8,0,8,8,0],[5,8,0,0,0,5,0],[5,5,5,5,8,8,0...
1
simon-solve-version1 predict pixels for 'O4T'
I0 11 15 25h2,2,,,,,,,,,,,,,e28c2 O0 11 15 b3g9,,9,,,,,,,,,,,d9b3b9, I1 13 15 e24e2,2,,b24h2,i25a2,2,,,,,,,,, O1 13 15 d9b3d9,,a9b3g9,a9b3c9b39,,h9b39,9,,,,,,,, I2 18 11 c29d29a21c2,2,,,,,,i20f2,2,, O2 18 11 b9b3b9e3b9,,9,,,,h9b3e9,,,9, I3T 15 9 a21k2,2,,f26f2,2,,,,a26k2 O3T None I4T 6 7 2,,a29b2,2,,, O4T None
999999 933399 933399 933399 999999 999999 999999
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[2,5,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2...
1
SIMON-SOLVE-VERSION1, 'O4T', predict the pixels
I0 5 6 a8a26,6,286a8,b868,8a282,a8268 O0 5 6 a2a86,6,826a8,b868,28a28,2a868 I1 7 7 828a682,6862686,8686862,6826828,686a862,68a6268,6868628 O1 7 7 828a628,6862686,8686862,6286828,686a862,68a6268,6868682 I2 7 4 282a828,a28a2a8,62a8a26,2b82a8 O2 7 4 82a8282,a8a28a2,6a2a826,a82b82 I3 5 6 82862,a8a62,28a28,28b2,8a282,a82a8 ...
82888 82628 88822 28286
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[8,8,2,2,6],[6,6,6,6,6],[2,8,6,8,8],[8,8,8,6,8],[8,2,2,8,2],[8,8,2,6,8]],"output":[[2,2,8,8,6],[6,6,6,6,6],[8,2,6,8,8],[8,8,8,6,8],[2,8,2,2,8],[2,8,8,6,8]]},{"input":[[8,2,8,6,6,8,2],[6,8,6,2,6,8,6],[8,6,8,6,8,6,2],[6,8,2,6,8,2,8],[6,8,6,8,8,6,2],[6,8,6,6,2,6,8],[6,8,6,8,6,2,8]],"output":[[8,2,8,6,6...
0
simonsolveversion1, 'O4T', predict the raw pixels
I0 17 20 272f1270b71,b7202420a121b71,0a127402a1717c1,12707471a71010707,a1214717c101a72,01024a1717a171717,a107a27a270127102,0717127c12710a2,2a1272b1717170a1,2a17a120c12a1a7,a170171c7017a10,7a1717b1717017a1,7e171a27a10a7,71a7a170171a7a171,a7121710c7b271,c7b10b17a1a70,b1217171a71721a0,10a1a7170b701710,a7b1a71017d17,21210c...
0000500000 5000000055 5500050000 0050500050 0000000000 5050000000 0505050000 0050000000 5000000055 0005000055 0000500000 0550000005 5050000000 5000050500 0005050000 0050000500 0000000000 5000000000 0000500050 0000050000 0000050000 0055005505 0000000000 0550000000 5050050000 0000000000 0000000555 0000005000 0550005500 0...
dataset=solve_rotate group=rotate_180 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
{"train":[{"input":[[2,7,2,1,1,1,1,1,1,1,2,7,0,7,7,7,1],[7,7,7,2,0,2,4,2,0,1,1,2,1,7,7,7,1],[0,1,1,2,7,4,0,2,1,1,7,1,7,1,1,1,1],[1,2,7,0,7,4,7,1,7,7,1,0,1,0,7,0,7],[1,1,2,1,4,7,1,7,1,1,1,1,0,1,7,7,2],[0,1,0,2,4,1,1,7,1,7,1,1,7,1,7,1,7],[1,1,0,7,2,2,7,2,2,7,0,1,2,7,1,0,2],[0,7,1,7,1,2,7,1,1,1,1,2,7,1,0,2,2],[2,1,1,2,7,2...
0
simonsolveversion1, O3T, predict raw pixels
I0 9 14 a0b4c0,,,,,,0,b4e0,,,,,,0 O0 9 14 a0b4c0,a0404c0,,,,a0b4c0,0,b4e0,404e0,,,,b4e0,0 I1 8 12 c0b40,,,,b4d0,,,,,0,, O1 8 12 c0b40,c04040,,c0b40,b4d0,404d0,,,b4d0,0,, I2 10 15 0,0c4d0,,,,,,0,,,0d4c0,,,,0 O2 10 15 0,0c4d0,04a04d0,,,,0c4d0,0,,,0d4c0,04b04c0,,0d4c0,0 I3T 15 13 0,,,h0c4a0,,,,0e4g0,,,,,0 O3T None
000000000000000 000000000000000 000000000000000 000000000444400 000000000400400 000000000400400 000000000444400 044444400000000 040000400000000 040000400000000 040000400000000 044444400000000 000000000000000
dataset=solve_rectangle group=rectangle hollow_out_the_filled_rectangles predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[0,0,4,4,4,0,0,0,0],[0,0,4,4,4,0,0,0,0],[0,0,4,4,4,0,0,0,0],[0,0,4,4,4,0,0,0,0],[0,0,4,4,4,0,0,0,0],[0,0,4,4,4,0,0,0,0],[0,0,0,0,0,0,0,0,0],[4,4,4,0,0,0,0,0,0],[4,4,4,0,0,0,0,0,0],[4,4,4,0,0,0,0,0,0],[4,4,4,0,0,0,0,0,0],[4,4,4,0,0,0,0,0,0],[4,4,4,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0]],"output":[[0,0,4,4,...
0
Simon-Solve-Version1, 'O2T', predict the raw pixels
I0 2 1 42 O0 6 3 b4b2,, I1 1 1 3 O1 3 3 3,, I2T 1 2 7,8 O2T None
777 777 777 888 888 888
dataset=solve_scale group=scale_x3up_y3up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[4,2]],"output":[[4,4,4,2,2,2],[4,4,4,2,2,2],[4,4,4,2,2,2]]},{"input":[[3]],"output":[[3,3,3],[3,3,3],[3,3,3]]}],"test":[{"input":[[7],[8]],"output":[[7,7,7],[7,7,7],[7,7,7],[8,8,8],[8,8,8],[8,8,8]]}]}
0
simonsolvev1, O4T, predict raw pixels
I0 14 10 4f74b743,b73a4a73d7,b7427a86b7a4,a7c876c747,4a73426b74b7,7b436a4c7a4,74e8b74a7,a74647a34b743,4d74374c7,74c74f7 O0 14 10 f74c747,c74734d74,34b74a37464a7,a74b7e847,a4c7a463b47,b74b76243a74,74c767c8a7,a4b76a8724b7,d73a7a43b7,34b74f74 I1 10 1 a7f37 O1 10 1 7f3a7 I2 1 10 2,9,1,,,,0,,2,9 O2 1 10 9,2,0,,1,,,,9,2 I3 1...
222927627222227222222222726262 222222622929222225222677772229 272997222262222725722272797222 766223333626229235762627727227 722292711333333235222262222222 722762229211172111222227222722 772227776211111165227233226262 222222271112272311555555552277 226272222672222262222272272667 222222222266627627266226262226 7226972222...
dataset=solve_rotate group=rotate_180 predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
{"train":[{"input":[[4,7,7,7,7,7,7,7,4,7,7,7,4,3],[7,7,7,3,4,4,7,7,3,7,7,7,7,7],[7,7,7,4,2,7,8,8,6,7,7,7,4,4],[7,7,8,8,8,8,7,6,7,7,7,7,4,7],[4,7,7,3,4,2,6,7,7,7,4,7,7,7],[7,4,4,4,3,6,4,4,7,7,7,7,4,4],[7,4,8,8,8,8,8,8,7,7,7,4,7,7],[7,7,4,6,4,7,3,3,4,7,7,7,4,3],[4,7,7,7,7,7,4,3,7,4,7,7,7,7],[7,4,7,7,7,7,4,7,7,7,7,7,7,7]]...
0
Simon-Solve-V1, 'O3T', predict the raw pixels
I0 10 17 4,2h4,4,,,,46g4,4,,,,,,,,, O0 10 17 1,5,15g1,a15f1,b15e1,5b15d1,5,a15b15b1,b15b15a1,c15b151,d15b15,e15b1,f15a1,g151,h15,1, I1 6 17 4,,,,,,,,,,d43,4,,,,, O1 6 17 1,,,,,5d1,15c1,a15b1,b15a1,c151,5,1,,,,, I2 5 5 c47,4,,, O2 5 5 5,1,,, I3T 13 11 4,,b42h4,b40h4,4,,,,j464,4, O3T None I4T 19 14 h46h4,4,o48a4,4,,,,40p...
5515111111111 1551511111111 5555555555555 5555555555555 1111551511111 1111155151111 1111115515111 1111111551511 5555555555555 1111111115515 1111111111551
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[4,4,4,4,4,4,4,4,4,4],[2,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,6,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4,4,4,4],[4,4,4,4,4,4,4...
0
SIMON-SOLVE-VERSION1, 'O3T', predict the pixels
I0 9 16 3f43,34d343,3f43,3,,,,b4e3,434e3,,,,,b4e3,3, O0 9 16 4f34,,,4,3,,c4d3,b34d3,,,,,,,c4d3,3 I1 10 14 3,,,3c4d3,34a34d3,,,,3c4d3,3,e3b43,e34343,e3b43,3 O1 10 14 3,,e4c3,4c34c3,,,,,,4,d34b34,,,d3d4 I2T 9 15 b4e3,434e3,,,,b4e3,3,,,e4b3,4c34b3,e4b3,3,, O2T None I3T 16 11 b3f4e3,b34d34e3,,b3f4e3,3,,,a3e4g3,a34c34g3,a3e...
3343333333433333 3343333333433333 3343333333433333 3343333333433333 3344444444433333 3333333333333333 3444444443333333 3433333343333333 3433333343333333 3433333343333333 3444444443333333
dataset=solve_rectangle group=rectangle mask_outside_the_hollow_rectangles predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[3,4,4,4,4,4,4,4,3],[3,4,3,3,3,3,3,4,3],[3,4,4,4,4,4,4,4,3],[3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3],[4,4,4,3,3,3,3,3,3],[4,3,4,3,3,3,3,3,3],[4,3,4,3,3,3,3,3,3],[4,3,4,3,3,3,3,3,3],[4,3,4,3,3,3,3,3,3],[4,3,4,3,3,3,3,3,3],[4,4,4,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3],...
1
SIMON-SOLVE-V1 'O4T' predict the pixels
I0 5 6 a02a7,72020,a72a0,2b02,0b20,272a7 O0 5 6 70270,72020,a0207,27a02,0b27,27270 I1 7 6 7a202a7,27207a2,07a2020,20b202,7072020,a270a72 O1 7 6 7a202a7,202a0a2,a0a2720,27b202,b72720,a27a072 I2 7 4 7202020,a2b720,20a2707,27a0a20 O2 7 4 7272720,a20a727,27a2b0,2b0a20 I3 4 7 0b2,,a020,0720,0727,7a02,2020 O3 4 7 7b2,0b2,a02...
000220 072200 022200 022200 007222 070222
dataset=solve_reverse group=reverse_chunks_topbottom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[0,0,2,7,7],[7,2,0,2,0],[7,7,2,0,0],[2,0,0,0,2],[0,2,2,2,0],[2,7,2,7,7]],"output":[[7,0,2,7,0],[7,2,0,2,0],[0,0,2,0,7],[2,7,0,0,2],[0,2,2,2,7],[2,7,2,7,0]]},{"input":[[7,2,2,0,2,7,7],[2,7,2,0,7,2,2],[0,7,2,2,0,2,0],[2,0,2,2,2,0,2],[7,0,7,2,0,2,0],[2,2,7,0,7,7,2]],"output":[[7,2,2,0,2,7,7],[2,0,2,0,0...
0
SIMON-SOLVE-VERSION1, 'O4T', predict the pixels
I0 26 18 75a75a6a5b7b57a5a7a5a7a5,a75a757c6f5b757575,c5757c5c6c575a75a7,5a75a7b57b5a7b6a75757a5,7a5a7b5a75a7d5c67575,b75b75b760b7575a75a2a5,a57a575c607d57b2b75,7c5a65b70575c2a5c75,b753b75707b27a5c75b7,575357575202a57a575b7b57,57375c20c757b575a75a7,73b2a5705a7c575c7a5a7,32a757a50d575c7d57,f7e4b57a575a7575,75b757d57e4b5a...
33333335335356 30533635653536 55336353333553 55533533655553 35355650655336 55363633553503 35636335533333 33356654533665 33356374530333 53336374655055 55336764305533 35355734655333 36537054663535 35353543333353 05533345563333 53335043356533 33333543663660 63333343055055 56536543533633 53330333535555 55535566333333 33363...
dataset=solve_rotate group=rotate_cw predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=d
{"train":[{"input":[[7,5,7,7,5,6,6,5,5,7,7,7,5,5,5,7,5,5,7,7,5,5,7,7,5,5],[7,7,5,7,7,5,7,6,6,6,6,5,5,5,5,5,5,5,7,7,7,5,7,5,7,5],[5,5,5,5,7,5,7,5,5,5,5,6,6,6,6,5,5,5,5,7,5,7,7,5,7,7],[5,7,7,5,7,7,5,5,5,7,5,5,5,7,7,6,6,6,7,7,5,7,5,7,5,5],[7,5,5,7,7,5,5,5,7,7,5,7,7,5,5,5,5,5,6,6,6,6,7,5,7,5],[7,7,7,5,7,7,7,5,7,7,7,6,0,7,7...
0
simonsolvev1 predict pixels for O4T
I0 1 4 0,,5, O0 2 2 0,5 I1 2 4 24,,2, O1 4 2 a2a4,2 I2 2 4 15,,5, O2 4 2 a1a5,5 I3 2 4 8,,0, O3 4 2 8,0 I4T 2 4 7,,10, O4T None I5T 2 4 78,,, O5T None
7777 1100
dataset=solve_scale group=scale_x2up_y2down predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[0],[0],[5],[5]],"output":[[0,0],[5,5]]},{"input":[[2,4],[2,4],[2,2],[2,2]],"output":[[2,2,4,4],[2,2,2,2]]},{"input":[[1,5],[1,5],[5,5],[5,5]],"output":[[1,1,5,5],[5,5,5,5]]},{"input":[[8,8],[8,8],[0,0],[0,0]],"output":[[8,8,8,8],[0,0,0,0]]}],"test":[{"input":[[7,7],[7,7],[1,0],[1,0]],"output":[[7,7...
0
simonsolveversion1, 'O3T', predict the pixels
I0 17 15 m79a7,7,,,,,,,,,,1o7,7,d79j7,a75m7 O0 17 15 l26262,l2b62,2,,,,,,,,a6n2,26n2,a6a2b6i2,2c626i2,262c6i2 I1 15 14 7,,e76g7,7,,,,l797,c73i7,7,,,, O1 15 14 2,d2b6f2,d2626f2,d2b6f2,2,,k2b6,b2b6e2626,b2626e2b6,b2b6h2,2,,, I2 13 20 7,,,e78e7,7,,,,,8k7,7,,,i70a7,7,,,,, O2 13 20 2,,d2b6d2,d2626d2,d2b6d2,2,,,a6j2,26j2,a6j...
22222222 22226662 22226262 22226662 22222222 22222222 22222222 22222222 22222222 22222222 22222222 22222222 22222222 22222222 22222222 22222222 22222222 22222222 22222222 22222222
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[7,7,7,7,7,7,7,7,7,7,7,7,7,7,9,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7],[7,7,7,7,7,7...
0
simonsolvev1, 'O4T', predict the pixels
I0 1 3 7,, O0 3 6 7,,,,, I1 2 2 42, O1 6 4 b4b2,,, I2 2 3 10,73,64 O2 6 6 b1b0,,b7b3,,b6b4, I3 1 2 0,5 O3 3 4 0,,5, I4T 2 2 9,67 O4T None
999999 999999 666777 666777
dataset=solve_scale group=scale_x3up_y2up predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[7],[7],[7]],"output":[[7,7,7],[7,7,7],[7,7,7],[7,7,7],[7,7,7],[7,7,7]]},{"input":[[4,2],[4,2]],"output":[[4,4,4,2,2,2],[4,4,4,2,2,2],[4,4,4,2,2,2],[4,4,4,2,2,2]]},{"input":[[1,0],[7,3],[6,4]],"output":[[1,1,1,0,0,0],[1,1,1,0,0,0],[7,7,7,3,3,3],[7,7,7,3,3,3],[6,6,6,4,4,4],[6,6,6,4,4,4]]},{"input":[[...
0
simon-solve-v1 'O4T' predict the raw pixels
I0 5 5 a78a3,7a8a3,78a37,a8738,a7b3 O0 5 5 8a7a3,a87a3,87a37,7a838,a7b3 I1 6 4 8b783,b78a7,7a38a7,7b387 O1 6 4 8b783,a78b7,7a3a78,7b378 I2 6 4 a78378,3,a7c8,3 O2 6 4 8a7387,3,c8a7,3 I3 5 6 b7a3,b738,a7a87,78b7,8a787,a87a3 O3 5 6 b7a3,b738,7a8a7,b787,78a78,7a8a3 I4T 4 7 8378,7a37,a387,,3a73,78a7,8a78 O4T None
8387 7337 3378 3378 3773 7787 8778
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[7,7,8,3,3],[7,8,8,3,3],[7,8,3,3,7],[8,8,7,3,8],[7,7,3,3,3]],"output":[[8,7,7,3,3],[8,8,7,3,3],[8,7,3,3,7],[7,8,8,3,8],[7,7,3,3,3]]},{"input":[[8,7,7,7,8,3],[7,7,7,8,7,7],[7,3,3,8,7,7],[7,3,3,3,8,7]],"output":[[8,7,7,7,8,3],[7,7,8,7,7,7],[7,3,3,7,7,8],[7,3,3,3,7,8]]},{"input":[[7,7,8,3,7,8],[3,3,3,3...
0
simonsolvev1 'O3T' predict the pixels
I0 1 4 8,,, O0 4 1 8 I1 4 13 b27,7427,74a7,24a7,4b2,2a72,,7a27,a2a7,a742,,72a7,a727 O1 13 4 a7a2a7b2c7,27a472a72a7a2,72a7a2a72b42,c727a242a72 I2T 13 24 b67g67,f67c67,6a7e67a64,i6764,c67e604,j604,j646,e69c646,e69876046,e698a6046,e69786047,67c69a68646,b67679a60846,6e19608a6,a65c69b186,b65b6906476,c65a69074a6,67b6569064a6...
5555555555555555555555555 5555555555355555555555555 5555555555935555555555555 5555555555953555555555555 5508888888983555555555555 5550555555958388888888815 5550555555955535555551155 5555055555955553555515555 5555055555955553551155555 5555505666665555315555555 5555505555956666165555555 5555555555595511555555555 55555555...
dataset=solve_rotate group=flipb predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=c
{"train":[{"input":[[8],[8],[8],[8]],"output":[[8,8,8,8]]},{"input":[[2,2,2,7],[7,4,2,7],[7,4,7,7],[2,4,7,7],[4,2,2,2],[2,7,7,2],[2,7,7,2],[7,2,2,7],[2,2,7,7],[7,7,4,2],[7,7,4,2],[7,2,7,7],[7,7,2,7]],"output":[[7,7,2,2,7,7,2,2,2,7,7,7,7],[2,7,4,4,7,2,7,7,2,7,7,2,2],[7,2,7,7,2,2,7,7,2,4,4,4,2],[7,7,7,7,2,7,2,2,4,2,7,7,2...
1
SIMON-SOLVE-V1 predict raw pixels for 'O3T'
I0 19 13 3,,,o39a3,3,e36k3,i38g3,3,,f38j3,3,, O0 19 13 3,,n3b43,,d3b4f3b43,d3b43b4f3,,h3b4f3,e3b4i3,,,3, I1 10 20 3,c30d3,3,,,,,,,,,,c39d3,3,,,,,, O1 10 20 b3b4c3,,,3,,,,,,,,b3b4c3,,,3,,,,, I2 12 20 3,,,,,,,,,j38,3,,,,,,f39c3,3,, O2 12 20 3,,,,,,,,i3a4,,,3,,,,e3b4b3,,,3, I3T 17 9 3,,,e35i3,2k38b3,3,,k37c3,3 O3T None
33333333333333333 33333333333333333 33333444333333333 44333444333344433 44333444333344433 44333333333344433 33333333333444333 33333333333444333 33333333333444333
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,9,3,3],[3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,6,3,3,3,3,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3,8,3,3,3,3,3,3,3,3],[3,3,3,3,3,3,3,3,3,3...
0
simonsolveversion1, 'O4T', predict the pixels
I0 7 5 3a9b63,3a6a393,c6396,d636,a3d6 O0 7 5 a93b63,3a639a3,c6936,d636,a3d6 I1 7 4 39b396,6b3936,a639a36,6a3b96 O1 7 4 9b3936,639b36,a6a3936,6b9a36 I2 6 7 393a69,6,a63b6,6,963639,6,369393 O2 6 7 393a69,6,a63b6,6,963693,6,363939 I3T 5 6 b6a3,b639,6,b636,a6396,a63a9 O3T None I4T 6 7 6a3a96,a39369,363696,c6a9,a93a69,3a636...
699336 393369 363696 666699 399669 366369 966363
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[3,9,9,6,6,6,3],[3,6,6,3,3,9,3],[6,6,6,6,3,9,6],[6,6,6,6,6,3,6],[3,3,6,6,6,6,6]],"output":[[9,9,3,6,6,6,3],[3,6,6,3,9,3,3],[6,6,6,6,9,3,6],[6,6,6,6,6,3,6],[3,3,6,6,6,6,6]]},{"input":[[3,9,3,3,3,9,6],[6,3,3,3,9,3,6],[6,6,3,9,3,3,6],[6,3,3,9,9,9,6]],"output":[[9,3,3,3,9,3,6],[6,3,9,3,3,3,6],[6,6,3,3,9...
1
Simon-Solve-Version1 'O5T' predict the pixels
I0 7 7 b82a83,2828b2,b23838,b82828,32a8282,8a28282,3282832 O0 7 7 b823a8,2828b2,b28383,b82828,32a8282,8a28282,3282382 I1 5 7 b838,3a838,a2a82,b232,b2a8,a2b8,23b8 O1 5 7 83b8,83a83,a2a82,b232,b2a8,a2b8,2b83 I2 7 5 83d2,2832828,a2838a3,b28283,2 O2 7 5 38d2,2382828,a2a3838,b28238,2 I3 6 7 83c8,83a838,3a83a8,a83838,383838,...
8832288 3882883 3328883 3228888 3222888
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[8,8,8,2,8,8,3],[2,8,2,8,2,2,2],[2,2,2,3,8,3,8],[8,8,8,2,8,2,8],[3,2,8,8,2,8,2],[8,2,2,8,2,8,2],[3,2,8,2,8,3,2]],"output":[[8,8,8,2,3,8,8],[2,8,2,8,2,2,2],[2,2,2,8,3,8,3],[8,8,8,2,8,2,8],[3,2,8,8,2,8,2],[8,2,2,8,2,8,2],[3,2,8,2,3,8,2]]},{"input":[[8,8,8,3,8],[3,8,8,3,8],[2,2,8,8,2],[2,2,2,3,2],[2,2,...
1
simon-solve-v1 predict raw pixels for 'O3T'
I0 6 5 a08b9,a8c9,0a8b9,8a08a9,b80a9 O0 6 5 8a0b9,a8c9,a80b9,8a08a9,0b8a9 I1 4 7 8,9a09,a8a9,8080,0989,0b9,0898 O1 4 7 8,9a09,a8a9,0808,0989,0b9,8098 I2 5 6 9a8a0,89080,98b9,90b9,9a809,98090 O2 5 6 9a0a8,89080,98b9,90b9,90a89,90890 I3T 6 4 8b089,a80808,90b89,89a898 O3T None I4T 7 7 9a89a89,a08a908,08b9a8,0d98,8d98,d9a8...
800089 808088 988809 898898
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[0,0,8,9,9,9],[8,8,9,9,9,9],[0,8,8,9,9,9],[8,0,0,8,9,9],[8,8,8,0,9,9]],"output":[[8,0,0,9,9,9],[8,8,9,9,9,9],[8,8,0,9,9,9],[8,0,0,8,9,9],[0,8,8,8,9,9]]},{"input":[[8,8,8,8],[9,0,0,9],[8,8,9,9],[8,0,8,0],[0,9,8,9],[0,9,9,9],[0,8,9,8]],"output":[[8,8,8,8],[9,0,0,9],[8,8,9,9],[0,8,0,8],[0,9,8,9],[0,9,9...
0
SIMONSOLVEVERSION1 predict raw pixels for O3T
I0 2 6 42,,24,04,4, O0 6 6 b4b2,,b2b4,b0b4,4, I1 2 2 57,97 O1 6 2 b5b7,b9b7 I2 1 6 6,,,4,, O2 3 6 6,,,4,, I3T 1 6 6,,,9,, O3T None
666 666 666 999 999 999
dataset=solve_scale group=scale_x3up_y1 predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[4,2],[4,2],[2,4],[0,4],[4,4],[4,4]],"output":[[4,4,4,2,2,2],[4,4,4,2,2,2],[2,2,2,4,4,4],[0,0,0,4,4,4],[4,4,4,4,4,4],[4,4,4,4,4,4]]},{"input":[[5,7],[9,7]],"output":[[5,5,5,7,7,7],[9,9,9,7,7,7]]},{"input":[[6],[6],[6],[4],[4],[4]],"output":[[6,6,6],[6,6,6],[6,6,6],[4,4,4],[4,4,4],[4,4,4]]}],"test":[...
0
SIMONSOLVEVERSION1, 'O2T', predict the raw pixels
I0 12 20 0,,,,,,,,e05d0,0,,,,,,,,,,j06 O0 12 20 3,,,,,,,,1,3,,,,,,,,,,1 I1 12 15 g07b0,0,,,,,,,,,,,,e09d0,0 O1 12 15 1,3,,,,,,,,,,,,1,3 I2T 17 17 0,,,,,,,,,,,i05e0,0,n070,2h06e0,0, O2T None I3T 10 8 0,,,,,e03b0,0, O3T None
33333333333333333 33333333333333333 33333333333333333 33333333333333333 33333333333333333 33333333333333333 33333333333333333 33333333333333333 33333333333333333 33333333333333333 33333333333333333 11111111111111111 33333333333333333 11111111111111111 11111111111111111 33333333333333333 33333333333333333
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,5,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0,0,0,0,0,0],[0,0,0,0,0,0,0...
0
SIMONSOLVEV1, O5T, predict pixels
I0 26 16 94g1414c14f14,1414c1a4a14f1a49a41,a1a4a1a49a414b1919a14c1,a19141b4a141414d15a191,a4e1a414g15c14,14b1b4a1414149c1541b4,914b1e0a14a1545a94b1,a414190414a1f0414c1,e1014919a14a19191d4,b19410b19a4d1b4a1a41,e10a1414a1914d19a41,14a1a490h194a149191,e190a1a4a19a19a19a14a1,14b194014a19419d14c1,d14104a1a414141a4a141a4,141...
66666666666 66666666666 66666666666 66666666666 66666666666 66666666666 66666666666 66666666666 66666666666 66666666666 60666666666 66066666666 66600666666 66666066666 66666606666 66666660666 66666668666 66666668666 66666668666 66666668666 66666668666 66666666666
dataset=solve_rotate group=flipx predict=rawpixels earlier_prediction=none image_width=large image_height=large task_pixels=e
{"train":[{"input":[[9,4,1,1,1,1,1,1,1,1,4,1,4,1,1,1,1,4,1,1,1,1,1,1,1,4],[1,4,1,4,1,1,1,1,4,4,1,1,4,1,1,1,1,1,1,1,4,4,9,4,4,1],[1,1,4,4,1,1,4,4,9,4,4,1,4,1,1,1,9,1,9,1,1,4,1,1,1,1],[1,1,9,1,4,1,4,4,4,1,1,4,1,4,1,4,1,1,1,1,1,5,1,1,9,1],[4,4,1,1,1,1,1,1,4,4,1,4,1,1,1,1,1,1,1,1,5,1,1,1,1,4],[1,4,1,1,1,4,4,4,1,1,4,1,4,1,4...
1
simonsolvev1, 'O3T', predict the raw pixels
I0 13 15 2b8h2,28282d8b2,282828b28b2,,,2b828b28b2,d2d8b2,2,f2c8a2,f28a28a2,,,f2c8a2,2, O0 13 15 2,a28i2,a28b2b8c2,,,e2b8c2,2,,,g2a8b2,,,2,, I1 13 13 2,,b8c2d82,828c28b282,,,b8c2d82,2,e8f2,8c28f2,e8f2,2, O1 13 13 2,,,28e2b8a2,,,2,,,2c8g2,2,, I2T 12 13 a2e8c2,a28c28c2,a2e8c2,2,2f8c2,28d28c2,,,2f8c2,2,,, O2T None I3T 9 15...
222222222 222222222 222222222 228222222 228222222 228222222 228222222 222222222 222222222 222222222 222222222 222222222 282222222 222222222 222222222
dataset=solve_rectangle group=rectangle mask_of_the_hollow_areas predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=c
{"train":[{"input":[[2,8,8,8,2,2,2,2,2,2,2,2,2],[2,8,2,8,2,8,8,8,8,8,2,2,2],[2,8,2,8,2,8,2,2,2,8,2,2,2],[2,8,2,8,2,8,2,2,2,8,2,2,2],[2,8,2,8,2,8,2,2,2,8,2,2,2],[2,8,8,8,2,8,2,2,2,8,2,2,2],[2,2,2,2,2,8,8,8,8,8,2,2,2],[2,2,2,2,2,2,2,2,2,2,2,2,2],[2,2,2,2,2,2,2,8,8,8,8,2,2],[2,2,2,2,2,2,2,8,2,2,8,2,2],[2,2,2,2,2,2,2,8,2,2...
1
SIMON-SOLVE-VERSION1 predict raw pixels for 'O2T'
I0 18 9 8,f84i8,8,,,d83e87d8,8,,n84a8 O0 18 9 6c2b6c26a26a2,6,a26a262b6a26a26a2,b2626262a626a26a2,c2a626a2b6a26a2,6,d2b6c2a626a2,d2626c2c6a2,6 I1 15 20 8,,,,,,,,,,,,c860h8,8,,,,i84c8,8, O1 15 20 c2a6c26c2,,,,,,,6b2a6c26c2,a6a2a6c26c2,2a62a6c26c2,a2c6c26c2,b2b6c26c2,6,c2b6b26c2,c2c6a26c2,c2a62a626c2,c2a6a2b6c2,6,c2a6c2a...
22262222626262226222 22262222266226226222 66666666666666666666 22262222226622266222 66666666666666666666 62262222226226226622 66262222226222626262 26662222226222266226 66666666666666666666 66666666666666666666 22266622226222226262 22262662226222226226 22262266226222226222
dataset=solve_ray group=emit_rays_from_lonely_pixels predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=d
{"train":[{"input":[[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,4,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,3,8,8,8,8,8,8,7,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8],[8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8...
0
simon-solve-v1, O4T, predict pixels
I0 4 5 51a5,,7171,5715,1a57 O0 4 5 51a5,,1717,5175,1a57 I1 6 7 5,517175,5b175,c5a1,b57a1,a51575,a517a5 O1 6 7 5,571715,57b15,c5a1,b5a17,a51575,a571a5 I2 6 4 75a171,571b5,b5717,175715 O2 6 4 7517a1,517b5,b5717,715175 I3 5 7 5,,,,51b5,7c1,5a7a1 O3 5 7 5,,,,51b5,c17,5a1a7 I4T 6 4 a5a1a7,c171,717b1,b1a51 O4T None I5T 4 7 7...
557711 171111 111717 111551
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[5,1,5,5],[5,1,5,5],[7,1,7,1],[5,7,1,5],[1,5,5,7]],"output":[[5,1,5,5],[5,1,5,5],[1,7,1,7],[5,1,7,5],[1,5,5,7]]},{"input":[[5,5,5,5,5,5],[5,1,7,1,7,5],[5,1,1,1,7,5],[5,5,5,5,1,1],[5,5,5,7,1,1],[5,5,1,5,7,5],[5,5,1,7,5,5]],"output":[[5,5,5,5,5,5],[5,7,1,7,1,5],[5,7,1,1,1,5],[5,5,5,5,1,1],[5,5,5,1,1,7...
0
simonsolveversion1, O3T, predict raw pixels
I0 7 7 a8c09,a8b0a9,a8a0908,8a09090,8a9a098,8d08,d090 O0 7 7 a8b0a9,a8c09,a89a098,8a09090,8b0908,89b098,0 I1 4 5 8090,a808,a9a0,a090,0909 O1 4 5 8b0,a898,0909,0,b90 I2 6 7 a0c8,89c8,a0c8,a9b80,809a09,d80,9c89 O2 6 7 a0c8,89c8,90c8,09b89,809b0,d89,9c80 I3T 7 7 b9c8,a09b89,9098b0,a0a89a0,a0b890,890c8,8909b8 O3T None I4T ...
0998888 0998880 9098990 0088000 9088809 8008888 8909888
dataset=solve_reverse group=reverse_chunks_topbottom predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[8,8,0,0,0,0,9],[8,8,0,0,0,9,9],[8,8,0,0,9,0,8],[8,0,0,9,0,9,0],[8,9,9,0,0,9,8],[8,0,0,0,0,0,8],[0,0,0,0,0,9,0]],"output":[[8,8,0,0,0,9,9],[8,8,0,0,0,0,9],[8,8,9,0,0,9,8],[8,0,0,9,0,9,0],[8,0,0,0,9,0,8],[8,9,0,0,0,9,8],[0,0,0,0,0,0,0]]},{"input":[[8,0,9,0],[8,8,0,8],[9,9,0,0],[0,0,9,0],[0,9,0,9]],"o...
0
simonsolveversion1, O2T, predict pixels
I0 13 9 d9b2d9,d9292d9,d9b2d9,9,,f2e9,2d92e9,f2e9,9 O0 13 9 d9b2d9,,,9,,f2e9,,,9 I1 13 10 9,9d2f9,92b929b2b9,92b929292b9,9d29292b9,f9b2b9,9,,, O1 13 10 9,9d2f9,9d29b2b9,,,f9b2b9,9,,, I2T 15 15 e2h9,2c92h9,,,,e2h9,9,,e2h9,2c92h9,,,e2h9,9, O2T None
222222999999999 222222999999999 222222999999999 222222999999999 222222999999999 222222999999999 999999999999999 999999999999999 222222999999999 222222999999999 222222999999999 222222999999999 222222999999999 999999999999999 999999999999999
dataset=solve_rectangle group=rectangle fill_the_hollow_rectangles predict=rawpixels earlier_prediction=none image_width=medium image_height=medium task_pixels=b
{"train":[{"input":[[9,9,9,9,9,2,2,2,9,9,9,9,9],[9,9,9,9,9,2,9,2,9,9,9,9,9],[9,9,9,9,9,2,2,2,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9],[2,2,2,2,2,2,2,9,9,9,9,9,9],[2,9,9,9,9,9,2,9,9,9,9,9,9],[2,2,2,2,2,2,2,9,9,9,9,9,9],[9,9,9,9,9,9,9,9,9,9,9,9,9]],"output":[[9,9,9,9,9,2,2,2,9,9,9,9,9],[9,9,9,9,...
0
simon-solve-version1 'O3T' predict the raw pixels
I0 7 5 3a9b63,3a6a393,c6396,d636,a3d6 O0 7 5 a93b63,3a639a3,c6936,d636,a3d6 I1 7 4 39b396,6b3936,a639a36,6a3b96 O1 7 4 9b3936,639b36,a6a3936,6b9a36 I2 6 7 393a69,6,a63b6,6,963639,6,369393 O2 6 7 393a69,6,a63b6,6,963693,6,363939 I3T 5 6 b6a3,b639,6,b636,a6396,a63a9 O3T None I4T 6 7 6a3a96,a39369,363696,c6a9,a93a69,3a636...
66633 66693 66666 66636 66936 66993
dataset=solve_reverse group=reverse_chunks_leftright predict=rawpixels earlier_prediction=none image_width=small image_height=small task_pixels=a
{"train":[{"input":[[3,9,9,6,6,6,3],[3,6,6,3,3,9,3],[6,6,6,6,3,9,6],[6,6,6,6,6,3,6],[3,3,6,6,6,6,6]],"output":[[9,9,3,6,6,6,3],[3,6,6,3,9,3,3],[6,6,6,6,9,3,6],[6,6,6,6,6,3,6],[3,3,6,6,6,6,6]]},{"input":[[3,9,3,3,3,9,6],[6,3,3,3,9,3,6],[6,6,3,9,3,3,6],[6,3,3,9,9,9,6]],"output":[[9,3,3,3,9,3,6],[6,3,9,3,3,3,6],[6,6,3,3,9...
0
End of preview. Expand in Data Studio

Version 1

A combination of multiple datasets.

Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.

Version 2

Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.

Version 3

Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.

Version 4

Added a shared dataset name for all these datasets: SIMON-SOLVE-V1. There may be higher version numbers in the future. My hypothesis: Having a version number in the dataset name, it may be easier to unlearn incorrect training data.

Datasets: dataset_solve_color.jsonl, dataset_solve_rotate.jsonl, dataset_solve_translate.jsonl.

Version 5

Different random seed.

Version 6

Using SIMON-SOLVE-V1 everywhere. Remove the SIMON-SOLVE-COLOR, SIMON-SOLVE-ROTATE, SIMON-SOLVE-TRANSLATE.

Version 7

Using SIMON-SOLVE-V1 everywhere.

Version 8

Same settings. Different seed as usual.

Version 9

Switching from context length 256 to context length 512.

Increasing the image sizes so the prompt length stays below 512.

dataset_solve_color, image size: 1-13.

dataset_solve_rotate, image size: 1-9.

dataset_solve_translate, image size: 3-9.

Version 10

Same settings. Different seed as usual.

Version 11

Same settings. Different seed as usual.

Version 12

Added 1 more pair to the examples. Now it's 2-4 examples. Previously it was 2-3 examples.

Version 13

Same settings. Different seed as usual.

Version 14

Same settings. Different seed as usual.

Version 15

Same settings. Different seed as usual.

Version 16

Added Predict the output image.

Disabled prediction of rows.

Disabled prediction of height.

Verison 17

Same settings. Different seed as usual.

Using the DatasetGenerator and the DatasetItemListBuilder.

Verison 18

Added datasets.

Datasets:

  • dataset_solve_color.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.

Version 71

Different random seed.

Version 72

Different random seed.

Version 73

Different random seed.

Version 74

Major update to dataset_solve_symmetry.jsonl.

Version 75

Different random seed.

Version 76

Disabled some datasets.

Datasets:

  • dataset_cellular_automaton.jsonl - 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_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_symmetry.jsonl - disabled

Version 77

Enabled all datasets.

Version 78

Major update to dataset_solve_symmetry.jsonl.

Version 79

Different random seed.

Version 80

Different random seed.

Version 81

Different random seed.

Version 82

Added dataset.

Datasets:

  • dataset_cellular_automaton.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
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl - added
  • dataset_symmetry.jsonl

Version 83

Disabled datasets that doesn't solve ARC puzzles.

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_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 84

Added dataset dataset_solve_grid.jsonl.

Disabled datasets that doesn't solve ARC puzzles.

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_grid.jsonl - added
  • dataset_solve_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 85

Disabled datasets that doesn't solve ARC puzzles.

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_grid.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 86

Enabled all datasets.

Version 87

Disabled datasets that doesn't solve ARC puzzles.

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_grid.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 88

Added dataset dataset_solve_probecolor.jsonl with all directions enabled.

Disabled datasets that doesn't solve ARC puzzles.

Datasets:

  • dataset_cellular_automaton.jsonl - 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_grid.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 89

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_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 90

Disabled some of the 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 - disabled
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl - disabled
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl - disabled
  • dataset_solve_outline.jsonl - disabled
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl - disabled
  • dataset_solve_zindex.jsonl - disabled
  • dataset_symmetry.jsonl - disabled

Version 91

Added dataset.

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_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_mass.jsonl - added
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 92

Different random seed.

Version 93

Added dataset.

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_bool.jsonl - added
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 94

Added dataset.

Disabled datasets that doesn't solve ARC tasks.

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_bool.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl - added
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 95

Added dataset.

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_bool.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl - added
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 96

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_bool.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl - major update.
  • dataset_symmetry.jsonl

Version 97

Disabled the first half of the 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_bool.jsonl - disabled
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl - disabled
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 98

Disabled the last half of the 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_bool.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl - disabled
  • dataset_solve_erosion.jsonl - disabled
  • dataset_solve_fractal.jsonl - disabled
  • dataset_solve_grid.jsonl - disabled
  • dataset_solve_half.jsonl - disabled
  • dataset_solve_mass.jsonl - disabled
  • dataset_solve_outline.jsonl - disabled
  • dataset_solve_probecolor.jsonl - disabled
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_scale.jsonl - disabled
  • dataset_solve_symmetry.jsonl - disabled
  • dataset_solve_translate.jsonl - disabled
  • dataset_solve_zindex.jsonl - disabled
  • dataset_symmetry.jsonl - disabled

Version 99

Disabled the 1/4th of the 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_bool.jsonl - disabled
  • dataset_solve_color.jsonl - disabled
  • dataset_solve_compress.jsonl - disabled
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl - disabled
  • dataset_solve_rotate.jsonl - disabled
  • dataset_solve_scale.jsonl - disabled
  • dataset_solve_symmetry.jsonl - disabled
  • dataset_solve_translate.jsonl - disabled
  • dataset_solve_zindex.jsonl - disabled
  • dataset_symmetry.jsonl - disabled

Version 100

Added dataset.

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_bool.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl - added
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 101

Disabled the non solving 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_bool.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 102

Added dataset

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_bool.jsonl
  • dataset_solve_boundingbox.jsonl - added
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 103

Different random seed.

Version 104

Disabled the non solving 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_bool.jsonl
  • dataset_solve_boundingbox.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl - disabled

Version 105

Major update to dataset_solve_scale.jsonl with scaling down noisy images.

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_bool.jsonl
  • dataset_solve_boundingbox.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl - scale down noisy images
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 106

Different random seed.

Version 107

Added dataset

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_bool.jsonl
  • dataset_solve_boundingbox.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_ray.jsonl - added
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 108

Added dataset

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_bool.jsonl
  • dataset_solve_boundingbox.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_flip.jsonl - added
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_ray.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 109

Different random seed.

Version 110

Added dataset

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_bool.jsonl
  • dataset_solve_boundingbox.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_flip.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_halfplane.jsonl - added
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_ray.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 111

Different random seed.

Version 112

Different random seed.

Version 113

Different random seed.

Version 114

Major update to the dataset_solve-mass.jsonl, so it now includes mass_compare_adjacent_rows and mass_compare_adjacent_columns.

Version 115

Added dataset

Datasets:

  • dataset_cellular_automaton.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_bool.jsonl
  • dataset_solve_boundingbox.jsonl
  • dataset_solve_color.jsonl
  • dataset_solve_compress.jsonl
  • dataset_solve_edge.jsonl
  • dataset_solve_erosion.jsonl
  • dataset_solve_flip.jsonl
  • dataset_solve_fractal.jsonl
  • dataset_solve_gravity.jsonl - added
  • dataset_solve_grid.jsonl
  • dataset_solve_half.jsonl
  • dataset_solve_halfplane.jsonl
  • dataset_solve_mask.jsonl
  • dataset_solve_mass.jsonl
  • dataset_solve_outline.jsonl
  • dataset_solve_probecolor.jsonl
  • dataset_solve_ray.jsonl
  • dataset_solve_rotate.jsonl
  • dataset_solve_scale.jsonl
  • dataset_solve_symmetry.jsonl
  • dataset_solve_translate.jsonl
  • dataset_solve_zindex.jsonl
  • dataset_symmetry.jsonl

Version 116

Hypothesis. What if I train with a smaller dataset, will it converge faster? Reduced the number of rows in this dataset from 300k rows to 10k rows.

Version 117

Interesting, 10k rows seems to work fine with the model training. Picked new random rows.

Version 118

Still going with 10k rows. Picked new random rows.

Version 119

Still going with 10k rows. Picked new random rows.

Version 120

Switched to 20k rows.

Version 121

Still going with 20k rows. Picked new random rows.

Version 122

20k rows.

Added dataset_solve_reverse.jsonl.

Version 123

Doubled the number of rows to 40k rows.

Version 124

Set row count to 100k rows.

Major update to dataset_solve_gravity.jsonl.

Version 125

Row count: 100k rows.

Version 126

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl
dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl
dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl
dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl

Version 127

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_scale.jsonl
dataset_solve_symmetry.jsonl
dataset_solve_translate.jsonl
dataset_solve_zindex.jsonl

Version 128

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_probecolor.jsonl
dataset_solve_ray.jsonl
dataset_solve_reverse.jsonl
dataset_solve_rotate.jsonl

Version 129

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_gravity.jsonl
dataset_solve_grid.jsonl
dataset_solve_half.jsonl
dataset_solve_halfplane.jsonl
dataset_solve_mask.jsonl
dataset_solve_mass.jsonl
dataset_solve_outline.jsonl

Version 130

Row count: 20k rows.

Only these datasets are enabled:

dataset_solve_bool.jsonl
dataset_solve_boundingbox.jsonl
dataset_solve_color.jsonl
dataset_solve_compress.jsonl
dataset_solve_edge.jsonl
dataset_solve_erosion.jsonl
dataset_solve_flip.jsonl
dataset_solve_fractal.jsonl

Version 131

Switched back to 300k rows.

Enabled all the datasets.

Version 132

Random seed.

Version 133

Removed the rows that are longer than what can be fitted inside a 512 context length.

Version 134

Random seed.

Version 135

Random seed.

Version 136

Major update to the dataset_solve_gravity.jsonl file.

Version 137

Added dataset dataset_solve_skew.jsonl.

Version 138

Disabled several datasets.

# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
# 'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
# 'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',

Version 139

Disabled several datasets.

'dataset_cellular_automaton.jsonl',
'dataset_dilation.jsonl',
'dataset_erosion.jsonl',
'dataset_histogram.jsonl',
'dataset_image.jsonl',
'dataset_image_pair.jsonl',
'dataset_mass.jsonl',
'dataset_scale.jsonl',
'dataset_shape.jsonl',
'dataset_solve_bool.jsonl',
# 'dataset_solve_boundingbox.jsonl',
# 'dataset_solve_color.jsonl',
# 'dataset_solve_compress.jsonl',
# 'dataset_solve_edge.jsonl',
# 'dataset_solve_erosion.jsonl',
# 'dataset_solve_flip.jsonl',
# 'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
# 'dataset_solve_grid.jsonl',
# 'dataset_solve_half.jsonl',
'dataset_solve_halfplane.jsonl',
# 'dataset_solve_mask.jsonl',
# 'dataset_solve_mass.jsonl',
# 'dataset_solve_outline.jsonl',
# 'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
'dataset_solve_reverse.jsonl',
# 'dataset_solve_rotate.jsonl',
# 'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
# 'dataset_solve_symmetry.jsonl',
# 'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
'dataset_symmetry.jsonl',

Version 140

Enabled all datasets.

Added new dataset: dataset_solve_cross.jsonl.

Version 141

Switched to 30k rows.

Disabled several datasets.

# 'dataset_cellular_automaton.jsonl',
# 'dataset_dilation.jsonl',
# 'dataset_erosion.jsonl',
# 'dataset_histogram.jsonl',
# 'dataset_image.jsonl',
# 'dataset_image_pair.jsonl',
# 'dataset_mass.jsonl',
# 'dataset_scale.jsonl',
# 'dataset_shape.jsonl',
# 'dataset_solve_bool.jsonl',
'dataset_solve_boundingbox.jsonl',
'dataset_solve_color.jsonl',
'dataset_solve_compress.jsonl',
# 'dataset_solve_cross.jsonl',
'dataset_solve_edge.jsonl',
'dataset_solve_erosion.jsonl',
'dataset_solve_flip.jsonl',
'dataset_solve_fractal.jsonl',
# 'dataset_solve_gravity.jsonl',
'dataset_solve_grid.jsonl',
'dataset_solve_half.jsonl',
# 'dataset_solve_halfplane.jsonl',
'dataset_solve_mask.jsonl',
'dataset_solve_mass.jsonl',
'dataset_solve_outline.jsonl',
'dataset_solve_probecolor.jsonl',
'dataset_solve_ray.jsonl',
# 'dataset_solve_reverse.jsonl',
'dataset_solve_rotate.jsonl',
'dataset_solve_scale.jsonl',
'dataset_solve_skew.jsonl',
'dataset_solve_symmetry.jsonl',
'dataset_solve_translate.jsonl',
# 'dataset_solve_zindex.jsonl',
# 'dataset_symmetry.jsonl',

Version 142

Switched to 300k rows.

Enabled all datasets.

Switched from 512 context to 1024 context.

Version 143

Bigger images in dataset_solve_cross.jsonl and in dataset_solve_mass.jsonl.

Version 144

Major update to dataset_solve_symmetry.jsonl.

Version 145

Added dataset_solve_span.jsonl.

Version 146

Extended dataset_solve_span.jsonl with generate_task_with_template_lines.

Version 147

Extended dataset_solve_span.jsonl with generate_task_with_alternate.

Version 148

Added dataset_solve_count.jsonl.

Version 149

Randomized.

Version 150

Upgraded context length for several datasets from 512 to 1024.

Version 151

Randomized.

Version 152

Randomized.

Version 153

Extended dataset_solve_mask.jsonl with generate_task_repair_rectangle_and_crop.

Version 154

Extended dataset_solve_color.jsonl with generate_task_replace_color.

Version 155

Major update to datasets in the range from dataset_solve_axxx.jsonl to dataset_solve_mask.jsonl. Now there is an earlier prediction for the output that is to be predicted. It may contain a hint, or it may be garbage that is to be ignored.

Version 156

Only 2000 rows.

Only these datasets. 'dataset_cellular_automaton.jsonl', 'dataset_dilation.jsonl', 'dataset_erosion.jsonl', 'dataset_histogram.jsonl', 'dataset_image.jsonl', 'dataset_image_pair.jsonl', 'dataset_mass.jsonl', 'dataset_scale.jsonl', 'dataset_shape.jsonl', 'dataset_symmetry.jsonl',

Version 157

Only these datasets.

  • 'dataset_solve_bool.jsonl',
  • 'dataset_solve_boundingbox.jsonl',
  • 'dataset_solve_color.jsonl',
  • 'dataset_solve_compress.jsonl',
  • 'dataset_solve_count.jsonl',
  • 'dataset_solve_cross.jsonl',
  • 'dataset_solve_edge.jsonl',
  • 'dataset_solve_erosion.jsonl',
  • 'dataset_solve_flip.jsonl',
  • 'dataset_solve_fractal.jsonl',
  • 'dataset_solve_gravity.jsonl',
  • 'dataset_solve_grid.jsonl',
  • 'dataset_solve_half.jsonl',
  • 'dataset_solve_halfplane.jsonl',
  • 'dataset_solve_mask.jsonl',
  • 'dataset_solve_mass.jsonl',
  • 'dataset_solve_outline.jsonl',
  • 'dataset_solve_probecolor.jsonl',
  • 'dataset_solve_ray.jsonl',
  • 'dataset_solve_reverse.jsonl',
  • 'dataset_solve_rotate.jsonl',
  • 'dataset_solve_scale.jsonl',
  • 'dataset_solve_span.jsonl',
  • 'dataset_solve_skew.jsonl',
  • 'dataset_solve_symmetry.jsonl',
  • 'dataset_solve_translate.jsonl',
  • 'dataset_solve_zindex.jsonl',

Version 158

Only these datasets.

  • dataset_solve_boundingbox.jsonl
  • dataset_solve_rectangle.jsonl

Versin 159

Enabled all the _solve_ datasets.

Version 160

Regenerated all the _solve_ datasets with new seed.

Version 161

Regenerated all the _solve_ datasets with new seed.

Version 162

Replaced RLE compressed response with raw pixel response.

Version 163

Added more generators

  • DatasetSolveCount
  • DatasetSolveCross
  • DatasetSolveEdge
  • DatasetSolveErosion
  • DatasetSolveFlip
  • DatasetSolveFractal

Version 164

Increased row count from 1000 to 2000.

Version 165

Added more generators.

Version 166

Added more generators.

Version 167

Added more generators.

Version 168

Added more generators.

Version 169

Generated data.

Version 170

Generated data.

Version 171

Generated data.

Increased output context length from 256 to 512.

Version 172

Generated data.

Version 173

Generated data.

Version 174

Generated data.

Version 175

Generated data.
Downloads last month
10
Size of downloaded dataset files:
5.84 MB
Size of the auto-converted Parquet files:
1.49 MB
Number of rows:
2,000